International Journal of Engineering and Advanced Technology(TM)
Exploring Innovation| ISSN:2249-8958(Online)| Reg. No.:61902/BPL/CE/2011| Published By BEIESP| Impact Factor: 5.02
Home
Articles
Conferences
Editors
Scope
AUTHOR GUIDELINES
Publication Fee
Privacy Policy
Associated Journals
Frequently Asked Questions
Contact Us
Volume-2 Issue-1 Published on October 30, 2012
28
Volume-2 Issue-1 Published on October 30, 2012

  Download Abstract Book

S. No

Volume-2 Issue-1, October 2012, ISSN:  2249-8958 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.

1.

Authors:

Y.Soumya,T. Ragunathan

Paper Title:

Lazy Expression Evaluation with Demand Paging In Virtual Memory Management

Abstract:    In computer operating systems, demand paging (as opposed to anticipatory paging) is a method of virtual memory management. Mainly this paper focus on the process of execution of pages in physical memory. Mainly this paper tells that faulits of page. Mainly these paper exaplin the lazy loading technique. This lazy loading technique performs the evaluation of expressions in the virtual memory management. This paper attempts the Short-circuit evaluation

Keywords:
 demand paging, virtual memory management, lazy loading technique, page fault, Short-circuit evaluation


References:

1.        Hudak, Paul (September 1989). "Conception, Evolution, and Application of Functional Programming Languages". ACM Computing Surveys 21 (3): 383–385. http://portal.acm.org/citation.cfm?id=72554.
2.        Reynolds, John C. (1998). Theories of programming languages. Cambridge University Press. ISBN  [[Special: BookSources/ 978052159414|978052159414]]. http://books.google.com/books?id=HkI01IHJMcQC&pg=PA307

3.        E. P. Markatos and C. E. Chronaki , “A Top-10 approach to prefetching “, Proceedings of INET'98 Geneva, Switzerland, (1998), pp. 276-290.

4.        Y. Jiang, M.Y Wu, and W. Shu, “prefetching : Costs , benefits and performance”, Proceedings of the 11th International World Wide Web Conference, New York, ACM, (2002).

5.        A. Venkataramani, P. Yalagandula, and R. Kokku , “The potential costs and benefits of long-term prefetching for content distribution”, Computer Communications, 25(4) ,(2002). pp. 367-375.


1-3

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

2.

Authors:

Gaurav Jaswal, Amit Kaul, Rajan Parmar

Paper Title:

Content based Image Retrieval using Color Space Approaches

Abstract:    The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of multimedia data. With  this  rapid development  of  multimedia  technologies,  the problem of how  to retrieve  a specified image from large amount of  image databases  becomes  an  important issue. In this paper we have developed a CBIR system based on the color features in RGB and HSV color space. Global color histogram (GCH) which lacks spatial information about the image colors has been compared with LCH.  Algorithms were tested on two Databases one comprising of 500 JPEG images and another comprising of 120 JPEG images of national flags of different countries. The LCH approach has been found to be better and more accurate than GCH approach.

Keywords:
   GCH, LCH, RGB & HSV.


References:

6.        J. R. Smith and S. F. Chang,“ Single Color Extraction and Image Query,” in Proc. IEEE International Conference on Image Processing, vol. 3, pp. 23-41, 1997.
7.        T. S. Chua, K. L. Tan, and B. C. Ooi, “Fast Signature based Color Spatial Image Retrieval,” in Proc. IEEE International Conference on Multimedia Computing and  Systems, vol.1, pp. 362-369,1997.

8.        D. Hoilm, R. Sukhtankar, H. Schneiderman, and L.Huston, “Object based Image Retrieval using Statistical Structure of Images,” in Proc. CVPR, vol. 16, pp. 345-362, 2004.

9.        Y. Rui and T. S. Huang, “Image Retrieval: Current   Techniques, Promising Directions, and Open Issues,” Journal of Visual Communication and Image Representation , vol.10, pp. 39-62, 1999.

10.     A. Jain and A. Vailaya, “Image Retrieval using Color and Shape,” Elsevier Science Ltd, vol. 29, pp. 1233- 1244, 1996

11.     R. Dutta, D. Joshi, J. Lee and J. Nang, “Image retrieval: Ideas, Influences and trends of New Age,” ACM Computing Surveys, vol.15, pp. 34-94, 2008.

12.     M. J. Swain and D. H. Ballard,“Color Indexing,” International Journal of Computer Vision, vol. 7, pp. 11-32, 1991.

13.     M. Stricker,and M. Orengo, “Similarity of Color  Images,” SPIE, vol. 2420, pp. 381-392, 1995.

14.     S. Deb, and Y. Zhang, “An Overview of Content-based   Image Retrieval Techniques”, in  Proc. International  Conference on Advanced Information Networking and  Application, vol. 1, pp. 59-64, 2004.

15.     J.R. Smith and S. F. Chang,“A Fully Automated Content based Image Query Systems,” in Proc. ACM Multimedia, vol.2670, pp.87-98, 1996.

16.     W. Rasheed , G. Kang, J. Kang, J. Chun and J. Park, “Sum of Values of Local Histograms for Image Retrieval,” in Proc. International Conference on Networked Computing and Advanced Information Management, vol. 2, pp. 690- 694, 2008.

17.     B. Luo, X. Wang, and X. Tang, “A World Wide Web Based Image Search Engine using Text and Image Content Features,” in  Proc.  IS&T/SPIE Electronic Imaging, SPIE, vol. 5018, pp.142-148, 2003.

18.     R.Achanta, F. Estrada, P. Wils, and S. Susstrunk, “Salient Region Detection and Segmentation,” International Conference on Computer Vision Systems, vol. 5008, pp. 66-75, 2008.

19.     C. Carson, S. Belongie, H. Greenspan and J. Malik, “Image Segmentation using Expectation Maximization and its Application to Image Querying,”  IEEE Transaction on Pattern Analysis and Mach. Intelligence, vol.24, pp. 1026-1038, 2002.

20.     M. Flickner, H. Sawhney, W. Niblack, J. Ashley,  Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele  and P. Yanker, “Query by Image and Video Content: the QBIC System, ” Computer, vol. 28, pp. 23-32, 1995.

21.     J. R Smith and S. F. Chang, “Tools and Techniques for Image Color Retrieval,” in Proc. IEEE International. Conference Acoust, Speech and Signal Proc., vol.2670, pp. 3-25, 1996.

22.     J. Moustakes, K. Morius, and C. Stelios, “A Two Level CBIR Platform with Application to Brain MRI Retrieval,”  IEEE International Conference on Multimedia and Technology, vol.24, pp. 818-856, 2005.

23.     M. Banergee, M. K. Kundu and P.K. Das, “Image    Retrieval with Visually Prominent Features using Fuzzy Set Theoretic Evaluation,”  ICVGIP India,  vol.1611, pp. 67-86, 2004.

24.     A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta and R. Jain, “Content based Image Retrieval at the End of the Early Years,” in Proc  IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, pp. 1349-1380, 2000.

25.     S. F. Chang, A. Eleftheriadis and R. Mcclintock, “Next Generation Content Representation, Creation and Searching for New Media and Application in Education,”  in Proc. IEEE, vol.86, pp. 15-31, 1998.

26.     J. Sun Ding, J. CUI, “Spatial Feature Extraction and Image Retrieval based on Entropy,” Systems Engineering and Electronics, vol. 28, pp. 791-794, 2006. 
    
      











 

4-7

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

3.

Authors:

Nikhilesh Singh, Rajendra.M.Belokar, Ravinder.S.Walia

Paper Title:

Physiological evaluation of manual lifting tasks on Indian male workers

Abstract:    The present study follows a physiological approach to evaluate physical work capacity (PWC) during manual material handling (MMH) tasks on Indian male workers. This study involves six independent lifting variables such as lifting frequency (2, 5, and 8 lifts/min), lifting load (7, 14, and 21 kg), vertical height (waist, shoulder, and maximum reach), horizontal distance (25, 40, and 55 cm), laboratory condition (21°C, 27°C, and 33°C) and three different rectangular box size{X (35×24×28 cm),Y (44×34×17 cm), and Z (58×38×24 cm)}. The selected two response variables were oxygen intake and heart rate.  Taguchi L27 Orthogonal array (OA) was applied to evaluate the effect of these lifting variables and plots of raw and signal- to- noise ratio data was used for computing the significance and their effect on the response variables. The analysis of variance (ANOVA) used to evaluate an optimal result of the variables. After analysis; it was found that all six variables (i.e. lifting frequency, lifting load, vertical height, horizontal distance, laboratory environment and box size) had significant effect on oxygen intake; whereas five variables (i.e. lifting frequency, lifting load, vertical height, horizontal distance and laboratory environment) showed a significant effect except one factor of box size was found insignificant in case of heart rate.

Keywords:
   Physical work capacity (PWC), Physiological approach, Manual material handling (MMH) tasks, Oxygen intake, Heart rate.


References:

1.       Astrand, P., Rodahl, K., (1977). Textbook of Work Physiology (2nd edition). McGraw Hill, New York.
2.       Astrand, P., Rodahl, K., (1986). Textbook of Work Physiology (3rd edition). McGraw Hill, New York.

3.       Chung, M.K., Kee, D., (2000). Evaluation of lifting tasks frequently performed during fire brick manufacturing processes using NIOSH lifting equations. International Journal of Industrial Ergonomics, Vol. 25, No.4, pp. 423–433.

4.       Chung,M.K., Kim,S.H., (1996). Effects of body posture, weight and frequency on time-dependent muscle strengths during dynamic materials handling tasks”, International Journal of Industrial Ergonomics, Vol. 18, pp.  153-159.

5.       Ciriello,V.M., (2005). The effects of box size, vertical distance, and height on lowering tasks for female industrial workers. International Journal of Industrial Ergonomics, Vol. 35, pp. 857-863.

6.       Ciriello,V.M., (2007). The effects of container size, frequency and extended horizontal reach on maximum acceptable weights of lifting for female industrial workers. Applied Ergonomics, Vol. 38, pp. 340-351.

7.       Ciriello, V.M., Snook, S.H., (1999). Survey of manual handling tasks. International Journal of Industrial Ergonomics, Vol. 23, pp. 149–156.

8.       Ciriello, V.M., Snook, S.H., Hashemi, L., Cotnam, J., (1999). Distributions of manual material handling task variables. International Journal of Industrial Ergonomics, Vol. 24, pp. 379–388.

9.       Davis, P.R., Stubbs, D.A., (1980). Force limits in manual work. IPC Science and Technology Press, Guilford.

10.     Dempsey,P.G. & Hashemi,L., (1999). Analysis of worker’s compensation claims associated with manual materials handling. Ergonomics, Vol. 42, pp. 183-195.

11.     Eastman Kodak Company, (1986). Ergonomic Design for People at Work, Vol. 2. Van Nostrand Reinhold, New York.

12.     Ftaiti, F., Kacem, A., Jaidane, N., Tabka, Z., Dogui, M., (2010). Changes in EEG activity before and after exhaustive exercise in sedentary women in neutral and hot environments. Applied Ergonomics, Vol. 41, pp. 806-811.

13.     Genaidy, A., Asfour, S., (1987). Review and evaluation of physiological cost prediction models for manual materials handling. Human Factors, Vol. 29, No. 4, pp. 465-476.

14.     Konz,S., (1995). Manual material handling. In: Proceedings of the Annual Conference-Human Variables Association of Canada, Vol. 27, pp. 13-26.

15.     Lee, C.L., Lee, Y.H., Huang, J.L., Chen, C.Y., (2003). The study of Chinese worker’s musculoskeletal disorders in building construction sites. Institute of Occupational Safety and Health Journal, Vol. 11, pp. 227–236.

16.     Li,K.W., Yu,R.F., Gao,Y., Maikala,R.V., Tsai,H.H., (2009). Physiological and perceptual responses in male Chinese workers performing combined manual materials handling tasks. International Journal of Industrial Ergonomics, Vol. 39, pp. 422-427.  

17.     Maiti. R., & Bagchi, T.P., (2006). Effect of different multipliers and their interactions during manual lifting operations. International Journal of Industrial Ergonomics, Vol. 36, pp. 991-1004.

18.     Marley, R.J., Duggasani, A.R., (1996). Effects of industrial back supports on physiological demand, lifting style and perceived exertion, International Journal of Industrial Ergonomics, Vol.17, pp 445-453.

19.     National Institute for Occupational Safety and Health (NIOSH), (1981). Work practices guide for manual lifting. NIOSH Technical Report No. 81-122. Cincinnati, OH: NIOSH.

20.     National Occupational Health and Safety Commission, (1995). Uniform guidelines for accreditation of rehabilitation providers [NOHSC: 7032].

21.     Sharkey, P., (1991). New Dimensions in Aerobic Fitness. Human Kinetics Publishers, Inc., Champaign.

22.     Waters, T.R., Putz-Anderson, V., Garg, A., Fine, L.J., (1993). Revised NIOSH equation for the design and evaluation of manual lifting tasks. Ergonomics, Vol. 36, No.7, pp. 749–776.

8-16

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

4.

Authors:

R.Sree Lekshmi, B. Sasi Kumar

Paper Title:

Extracting Information from Semistructured Xml Using Tars

Abstract:    Extracting information from semi structured documents is a very hard task, and is going to become more and more critical as the amount of digital information available on the internet grows. Indeed, documents are often so large that the dataset returned as answer to a query may be too big to convey interpretable knowledge. This work describe an approach based on Tree-based Association Rules (TARs) mined rules, which provide approximate, intentional information on both the structure and the contents of XML documents. This mined knowledge is used to provide: structure and the content of the XML document and quick, approximate answers to queries.

Keywords:
   approximate query-answering, data mining, intensional information, succinct answers.


References:

1.       Data mining for XML query-answering support Mirjana Mazuran, Elisa Quintarelli,and Letizia Tanca “IEEE Transaction on knowledge and Data Engineering”
2.       World Wide Web Consortium. Extensible Markup Language (XML)     1.0,\1998.http://www.w3C.org/ xml/.

3.       GaryMarchionini.Exploratorsearch: from finding to uderstanding. Communications of the ACM, 49(4):41–46, 2006.

4.       R.Agrawal and R.Srikant. Fast algorithms for mining association rules in large databases. In Proc. of the 20th Int. Conf. on Very Large Data Bases, pages 487–499. Morgan Kaufmann Publishers Inc., 1994.

5.       D. Barbosa, L. Mignet, and P. Veltri. Studying the xml web: Gathering statistics from an xml sample. World Wide Web, 8(4):413–438, 2005.

6.       T. Asai, K. Abe, S. Kawasoe, H. Arimura, H. Sakamoto, and S. Arikawa.Efficient substructure discovery from large semi-structured data. In Proc.of the SIAM Int. Conf. on Data Mining, 2002.

7.       K. Wong, J. X. Yu, and N. Tang. Answering xml queries using pathbased indexes: A survey. World Wide Web, 9(3):277–299,   2006.

8.       Y. Xiao, J. F. Yao, Z. Li, and M. H. Dunham. Efficient data mining for maximal frequent subtrees. In Proc. of the 3rd IEEE Int. Conf. on Data Mining, page 379. IEEE Computer Society, 2003.

9.       Y. Chi, Y. Yang, Y. Xia, and R. R. Muntz. Cmtreeminer: Mining both closed and maximal frequent subtrees. In Proc. of the 8th Pacific-Asia Conf. on Knowledge Discovery and Data Mining, pages 63–73, 2004.

10.     M. Mazuran, E. Quintarelli, and L. Tanca. Mining tree-based frequent patterns from xml. In Proc. of the 8th Int. Conf. on Flexible Query Answering Systems.


17-19

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

5.

Authors:

Nagendra Sah

Paper Title:

Impact of Mobility and Node Speed on Multicast Routing In Wireless MANETs

Abstract:    Mobile Ad-hoc networks are characterized as networks without any physical connections. In these networks there is no fixed topology due to the mobility of nodes, interference, multi-path propagation and path loss. One particularly challenging environment for multicast is a mobile ad-hoc network (MANET), where the network topology can change randomly and rapidly, at unpredictable times. As a result, several specific multicast routing protocols for MANET have been proposed. This paper evaluates well known multicast routing protocols, like on-demand multicast routing protocol (ODMRP), protocol independent protocol- dense mode (PIM-DM) and multicast open shortest path first (MOSPF) under various ranges of MANET scenarios based on mobility and node speed. The simulation environment is Qualnet-5.0.

Keywords:
   Computer Network, Routing Protocols, Path loss Models


References:

1.       Liming Wei, Deborah Estrin, “Multicast Routing in Dense and Sparse Modes: Simulation Study of Tradeoffs and Dynamics”, 0-8186-7180-7/95 $04.00 0 1995 IEEE.
2.       Stephen Deering, Member, IEEE, Deborah L. Estrin, Senior Member, IEEE, Dino Farinacci, Van Jacobson, Ching-Gung Liu, and Liming Wei, “The PIM Architecture for Wide-Area Multicast Routing”, IEEEIACM TRANSACTIONS ON NETWORKING, VOL. 4, NO. 2, APRIL 1996.

3.       David A. Maltz, Josh Broch, Jorjeta Jetcheva, and David B. Johnson, Member, IEEE, “The Effects of On-Demand Behavior in Routing Protocols for Multihop Wireless Ad Hoc Networks”, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 17, NO. 8, AUGUST 1999.

4.       Sung-Ju Lee, William Su, Julian Hsu, Mario Gerla, and Rajive Bagrodia, “A Performance Comparison Study of Ad Hoc Wireless Multicast Protocols”, 0-7803-5880-5/00/$10.(0c0) 2000 IEEE.

5.       Christian Bettstetter, Anton Riedl, Gerhard GeBler, “Interoperation of Mobile IPv6 and Protocol Independent Multicast Dense Mode”, 0-7695-077 1 -9/00 $10.00 0 2000 IEEE.

6.       Purushottam G. Ranjitkar, Isameldin M. Suliman, Per Geil, Martijn Kuipers M., Ramjee Prasad, “IP Multicast Implementation based OII the Multicast Extensions to OSPF Protocol”, 0-7803-5893-7/00/$10.000 2000 IEEE.

7.       A Tutorial by Laxman H. Sahasrabuddhe and Biswanath Mukherjee “Multicast Routing Algorithms and Protocols”. This work has been supported in parts by the National Science Foundation (NSF) under Grants Nos. NCR  9508238 and ANI-9XO52U5 IEEE Network * January/February 2000.

8.       A Ganguli, S Nandi, P K Meher “An improvement of ODMRP for reliable delivery of busty traffic”, 0-7803-7651-X/03/$ 17.00 ©2000 IEEE.

9.       Sang Ho Bae, Sung-Ju le;, William Su, and Mario Gerla, “The Design, Implementation, and Performance Evaluation of the On-Dem and Multicast Routing Protocol in Multihop Wireless Networks”, 0890-8044/00/$10.00 © 2000 IEEE.

10.     Vijay Devarapalli, Deepinder Sidhu “MZR: A Multicast Protocol for Mobile Ad Hoc Networks”, 0-7803-7097-1/01/$10.00 2001 IEEE.

11.     Hasnaa MOUSTAFA and Houda LABIOD “A Performance Comparison of Multicast Routing Protocols In Ad hoc Networks” The 14m IEEE 2003 International Symposium on Persona1, lndoor and Mobile Radio Communication Proceedings, 0-7803-7822-9/03/$17.00@ 2003 IEEE.

12.     Hasnaa Moustafa and Houda Labiod, “A Performance Analysis of Source Routing-based Multicast Protocol (SRMP) Using Different Mobility Models”, CNRS. 0-7803-8533-0/04/$20.00 (c) 2004 IEEE.

13.     Ahmed Sobeih, Hoda Baraka, Aly Fahmy, “On the Reliability of ODMRP in Mobile Ad Hoc Networks” 0-7803-8396-6/041$20.00 © 2004 IEEE.

14.     Jorjeta G. Jetcheva and David B. Johnson, December 15, 2004, CMU-CS-04-176, “A Performance Comparison of On-Demand Multicast Routing Protocols for Ad Hoc Networks” This work was supported in part by NASA under grant NAG3-2534 at Rice University; by NSF under grants CNS-0209204, CNS-0325971, CNS-0338856, and CNS-0435425 at Rice University; by a gift from Schlumberger to Rice University; and by the Air Force Materiel Command (AFMC) under DARPA contract number F19628-96-C-0061 at Carnegie Mellon University.

15.     Dan Li, Jianping Wu, Ke Xu, Xiaoping Zhang, Yong Cui1, Ying Liu, “Performance Analysis of Multicast Routing Protocol PIM-SM”  0-7695-2388-9/05 $20.00 © 2005 IEEE.


20-24

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

6.

Authors:

Syed.Awais Hyder, D.Sri Kanth, C.Chandrasekhar, E.Sammaiah

Paper Title:

Field Programmable Gate Array Implementation Technology

Abstract:    A field-programmable gate array (FPGA) is an integrated circuit designed to be configured by a customer or a designer after manufacturing hence "field-programmable". The FPGA configuration is generally specified using hardware (HDL), similar to that used for an application-specific integrated circuit (ASIC) (circuit diagrams were previously used to specify the configuration, as they were for ASICs, but this is increasingly rare). FPGAs can be used to implement any logical function that an ASIC could perform. The ability to update the functionality after shipping, partial re-configuration of a portion of the design and the low non-recurring engineering costs relative to an ASIC design (notwithstanding the generally higher unit cost), offer advantages for many applications. FPGAs contain programmable logic components called "logic blocks", and a hierarchy of reconfigurable interconnects that allow the blocks to be "wired together"—somewhat like many (changeable) logic gates that can be inter-wired in (many) different configurations. Logic blocks can be configured to perform complex combinational functions, or merely simple logic gates like AND and XOR. In most FPGAs, the logic blocks also include memory elements, which may be simple flip-flops or more complete blocks of memory. In addition to digital functions, some FPGAs have analog features.

Keywords:
   Field Programmable Gate Array Implementation Technology.


References:

1.        a b c FPGA Architecture for the Challenge
2.        FPGA Signal Integrity tutorial

3.        NASA: FPGA drive strength

4.        Mike Thompson. "Mixed-signal FPGAs provide GREEN POWER". EE Times, 2007-07-02.

5.        a b c History of FPGAs

6.        Google Patent Search, "Re-programmable PLA". Retrieved February 5, 2009.

7.        Google Patent Search, "Dynamic data re-programmable PLA". Retrieved February 5, 2009.

8.        Peter Clarke, EE Times, "Xilinx, ASIC Vendors Talk Licensing." June 22, 2001. Retrieved February 10, 2009.

9.        Funding Universe. “Xilinx, Inc.” Retrieved January 15, 2009.

10.     Clive Maxfield, Programmable Logic DesignLine, "Xilinx unveil revolutionary 65nm FPGA architecture: the Virtex-5 family. May 15, 2006. Retrieved February 5, 2009.

11.     Press Release, "Xilinx Co-Founder Ross Freeman Honored as 2009 National Inventors Hall of Fame Inductee for Invention of FPGA"

12.     a b Clive Maxfield, book, "The Design Warrior's Guide to FPGAs".Published by Elsevier, 2004. ISBN 0-7506-7604-3,ISBN 978-0-7506-7604-5. Retrieved February 5, 2009

13.     McConnel, Toni. EETimes. "ESC - Xilinx Extensible Processing Platform combines best of serial and parallel processing." April 28, 2010. Retrieved February 14, 2011.

14.     Cheung, Ken, FPGA Blog. "Xilinx Extensible Processing Platform for Embedded Systems." April 27, 2010. Retrieved February 14, 2011.

15.     Nass, Rich, EETimes. "Xilinx puts ARM core into its FPGAs." April 27, 2010. Retrieved February 14, 2011.

16.     Leibson, Steve, Design-Reuse. "Xilinx redefines the high-end microcontroller with its ARM-based Extensible Processing Platform - Part 1." May. 03, 2010. Retrieved February 15, 2011.

17.     Wilson, Richard, Electronics Weekly. "Xilinx acquires ESL firm to make FPGAs easier to use." January 31, 2011. Retrieved February 15, 2011.

18.     a b Dylan McGrath, EE Times, "FPGA Market to Pass $2.7 Billion by 10, In-Stat Says". May 24, 2006. Retrieved February 5, 2009.

19.     Dylan McGrath, EE Times, "Gartner Dataquest Analyst Gives ASIC, FPGA Markets Clean Bill of Health". June 13, 2005.

20.     Retrieved February 5, 2009.

21.     Virtex-4 Family Overview

22.     Kuon, I.; Rose, J. (2006). "Measuring the gap between FPGAs and ASICs". Proceedings of the internation symposium on Field programmable gate arrays - FPGA'06. pp. 21.doi:10.1145/ 1117201. 1117205. ISBN 1595932925. edit

23.     a b Tim Erjavec, White Paper, "Introducing the Xilinx Targeted Design Platform: Fulfilling the Programmable Imperative." February 2, 2009. Retrieved February 2, 2009

24.     Huffmire Paper "Managing Security in FPGA-Based Embedded Systems." Nov-Dec 2008. Retrieved Sept 22, 2009

25.     Virtex-5 FPGA Configuration User Guide. Xilinx Inc.. August 2010. pp. 33–35. Retrieved 2010-10-31.

26.     Protecting Intellectual Property Through FPGA Design Security. Altera Corporation. Retrieved 2010-11-01.

27.     Wiśniewski, Remigiusz (2009). Synthesis of compositional microprogram control units for programmable devices. Zielona Góra: University of Zielona Góra. pp. 153. ISBN 978-83-7481-293.


25-29

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

7.

Authors:

S. Nasira Tabassum

Paper Title:

Optimization and Security of Continuous Anonymizing Data Streams

Abstract:    The characteristic of data stream is that it has a huge size and its data change continually, which needs to be responded quickly, since the times of query is limited. The continuous query and data stream approximate query model are introduced in this paper. Then, the query optimization of data stream and traditional database are compared such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are continuous, transient, and usually unbounded. Moreover, in streaming applications, there is a need to offer strong guarantees on the maximum allowed delay between incoming data and the corresponding anonymized output. Continuously Anonymizing Streaming data via adaptive cLustEring (CASTLE), an efficient and effective algorithm w.r.t. the quality of the data, is a cluster-based scheme that anonymizes data streams on-the-fly and, at the same time, ensures the freshness of the data. CASTLE is also extended to handle l-diversity. Finally, we study the optimization and security techniques of data streams using selective security encryption and compression to improve the efficiency of the CASTLE algorithm.

Keywords:
   privacy-preserving data mining, continuous anonymity, selective security encryption, data compression.


References:

1.        P. Domingos and G. Hulten, “Mining High-Speed Data Streams,” Proc. Int’l Conf. Knowledge Discovery and Data Mining (KDD), pp. 71-80, 2000.
2.        C.C. Aggarwal, J. Han, J. Wang, and P.S. Yu, “A Framework for Clustering Evolving Data Streams,” Proc. Int’l Conf. Very Large Databases (VLDB), pp. 81-92, 2003.

3.        C.C. Aggarwal, “On k-Anonymity and the Curse of Dimensionality,” Proc. Int’l Conf. Very Large Databases (VLDB), pp. 901-909, 2005.

4.        G. Aggarwal, T. Feder, K. Kenthapadi, S. Khuller, R. Panigrahy, D.Thomas, and A. Zhu, “Achieving Anonymity via Clustering,”Proc. Symp. Principles of Database Systems (PODS), pp. 153-162,2006.

5.        J. Cao, B. Carminati, E. Ferrari, and K.L. Tan, “CASTLE: A Delay- Constrained Scheme for k s-Anonymizing Data Streams,” Proc. Int’l Conf. Data Eng. (ICDE), Poster Paper, pp. 1376-1378, 2008.

6.        V.S. Iyengar, “Transforming Data to Satisfy Privacy Constraints,” Proc. Int’l Conf. Knowledge Discovery and Data Mining (KDD), pp. 279-288, 2002.

7.        Jianneng Cao, Barbara Carminati, Elena Ferrari, Kian-Lee Tan “CASTLE: Continuously Anonymizing Data Streams”, May/June 2011.
8.        CE Shannon, Communication theory of secrecy systems Declassified Report, 1946
9.        Marius Portmann, Aruna Seneviratne, "Selective Security for TLS," icon, pp.216, Ninth IEEE International Conference on Networks (ICON'01), 2001

10.     A Massoudi*, F Lefebvre, C De Vleeschouwer, B Macq and J-J Quisquater “Overview on Selective Encryption of Image and Video: Challenges and Perspectives. “EURASIP Journal on Information Security 2008, 2008:179290

11.     A. Machana vajjhala, J. Gehrke, D. Kifer, and M. Venkitasubramaniam, “L-Diversity: Privacy beyond k-Anonymity,” Proc. Int’l Conf. Data Eng. (ICDE), p. 24, 2006.

12.     R.J. Bayardo and R. Agrawal, “Data Privacy through Optimal k-Anonymization,” Proc. Int’l Conf. Data Eng. (ICDE), pp. 217-228, 2005.

13.     G. Ghinita, P. Karras, P. Kalnis, and N. Mamoulis, “Fast Data Anonymization with Low Information Loss,” Proc. Int’l Conf. Very Large Databases (VLDB), pp. 758-769, 2007.

14.     Tom Lookabaugh, Douglas C. Sicker, University of Colorado at Boulder, “Selective Encryption for Consumer Applications”.

15.     Nidhi S Kulkarni, Balasubramanian Raman, and Indra Gupta, “Selective Encryption of Multimedia Images”, XXXII NATIONAL SYSTEMS CONFERENCE, NSC 2008, December 17-19, 2008

16.     Hwayoung Um and Edward J. Delp, "Selective Video Encryption Of A Distributed Coded Bitstream Using LDPC Codes", SPIE-IS&T/ Vol. 6072 60721B-1

17.     Pu Wang, Jianjiang Lu, Lei Zhao, Jiwen Yang, "B-CASTLE: An Efficient Publishing Algorithm for K-Anonymizing Data Streams," gcis, vol. 2, pp.132-136, 2010 Second WRI Global Congress on Intelligent Systems, 2010

18.     W. Puech, A. G. Bors, J. M. Rodrigues, "Protection of Colour Images by Selective Encryption", Advanced Color Image Processing and Analysis, 2013, pp 397-421

19.     Tom Lookabaugh*, Douglas C. Sicker, David M. Keaton, Wang Ye Guo, Indrani Vedula, "Security Analysis of Selectively Encrypted MPEG-2 Streams"

20.     Shaimaa A. El-said, Khalid F. A. Hussein, Mohamed M. Fouad, "Securing Image Transmission Using In- Compression Encryption Technique", International Journal of Computer Science and Security, (IJCSS), Volume (4): Issue (5)

21.     Marc Van Droogenbroeck and Raphaël Benedett, "Techniques for a selective encryption of uncompressed and compressed images", Advanced Concepts for Intelligent Vision Systems (ACIVS), Ghent, Belgium, pages 90-97, September 2002

22.     A. Massoudi, F. Lefebvre, C. De Vleeschouwer, B. Macq, and J.-J. Quisquater, "Overview on Selective Encryption of Image and Video: Challenges and Perspectives", EURASIP Journal on Information Security Volume 2008, Article ID 179290


30-34

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

8.

Authors:

Ibrahim Al-Adwan, Munaf S. N. Al-D

Paper Title:

The Use of ZigBee Wireless Network for Monitoring and Controlling Greenhouse Climate

Abstract:    The increasing demands for crop production and quality have significantly increased the utilization of high quality and productivity green houses. Modern greenhouses are nowadays having great sizes and they are equipped with sophisticated monitoring and controlled actuation systems to assure maximum productivity and provide value-added quality. Increases in greenhouse sizes has increased the demand in increasing the monitoring points in order to provide real-time precise measurement of some important parameters and hence to avoid unnecessary exposure to unhealthy ambient conditions. The increase of monitoring points is certainly leads to increase the complexity of managing and maintaining them efficiently. The aim of this paper is to present a novel wireless sensor network based ZigBee technology for monitoring and controlling greenhouse climate. The system consists of a number of local stations and a central station. The local stations are used to measure the environmental parameters and to control the operation of controlled actuators to maintain climate parameters at predefined set points.  For each local station a PIC Microcontroller is used to store the instant values of the environmental parameters, send them to the central station and receive the control signals that are required for the operation of the actuators. The communication between the local stations and the central station is achieved via ZigBee wireless modules

Keywords:   Greenhouse monitoring and control, Wireless network, ZigBee.


References:

1.       M.L. Parry, C. Rosenzweig,  A. Iglesias, M. Livermore and, G. Fischer, “Effects of climate change on global food production under SRES emissions and socio-economic scenarios”, Global Environmental Change 14, 2004, pp. 53–67.
2.       Cox, S.W.R., ” Electronics in UK agriculture and horticulture”, Physical Science, Measurement and Instrumentation, Management and Education - Reviews, IEE Proceedings A, Vol. 134 , 1987 , pp. 466 - 492.

3.       Zhang Lihong, Sun Lei, Han Shufen, Lu Weina, “Measurement and Control System of Soil Moisture of Large Greenhouse Group Based on Double CAN Bus”, Third International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), 2011, Vol. 2, 2011, pp. 518 – 521.

4.       Snelson, Jonathan Bundy, “Plant Growth and Root Zone Management of Greenhouse Grown Succulents”, M.Sc. Thesis, Virginia Institute of Technology, USA, 2012.

5.       E. Diamond, S.M., “Application of Wireless Sensor Network to Military Information Integration”, The 5th IEEE International Conference on Industrial Informatics, Vol. 1, 2007, pp. 317 – 322.

6.       Chee-Yee Chong and Srikanta P. Kumar, "Sensor Networks Evolution, Opportunities, and Challenges", IEEE Proceeding of the IEEE, Vol 91, No 8. 2003, pp. 636-641.

7.       Wan-Ki Park, Chang-Sic Choi, Jinsoo Han; Intark Han, “Design and Implementation of ZigBee based URC Applicable to Legacy Home Appliances” IEEE International Symposium on Consumer Electronics, 2007. ISCE 2007, 2007, pp. 1 – 6.

8.       Chung-Hsin Liu; Chih-Chieh Fan: “Zigbee- Research into Integrated Real-Time Located Systems IEEE Asia-Pacific Services Computing Conference, 2008. APSCC '08, 2008 , pp: 942 - 947.

9.       Sinem Coleri Ergen: “ZigBee/IEEE 802.15.4 Summar”, Available: www.eecs.berkeley.edu/~csinem/academic/publications/, 2004.


35-39

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

9.

Authors:

Amol Ranadive

Paper Title:

Vistas, Frets and Effective Stratagems for Growth of Online Retailing in India

Abstract:    There are several pockets in various segments of the Indian Online Retail Industry which are yet to be explored. Internet is a powerful means that can provide an exclusive platform for the escalation of retail brands in India. The Internet beholds many qualities that are in line with the retail industry including a higher customer penetration, increased visibility, and expedient operations. The present Internet based e-Retailing models represent only a small fraction of a phase preceding an age of quick transformations, challenges, and opportunities in the Indian retail market. The Indian retail market is undergoing a tremendous insurgency. The emergence of Internet as a backbone for new businesses has enabled new formats of virtual retailers to surface and compelled the existing retailers to seriously view and consider the existing models of E-Retailing. Online retailing or E-Retailing is depicted as transactions that are conducted through interactive online computer systems, which link consumers with sellers electronically, where the buyer and merchant are present at remote physical locations. In a short span of time, Online Retailing has resolutely established itself as a practicable option to physical store based shopping. This paper makes an effort to provide a more lucid image about the E-Retailing in India and its various concerns and opportunities. It also tries to attempts to devise an effective Online Retailing strategy in India based on the detailed survey of present online retailing companies.

Keywords:
   E-Retailing, Merchandizing, Online Shopping, Reverse Logistics


References:

1.       Baker, C. (2005) : “Weighing online marketings benefits”, Multichannel News, New York: May 23, vol 26, No 21, pp. 91
2.       Dr. Suman Kumar Dawn (2011): E-Tailing in India: Its Issues, Opportunities and Effective Strategies for Growth and Development, International Journal of Multidisciplinary Research, Vol. 1 Issue 3, July 2011.

3.       based approach for capturing service quality in online shopping”,   Journal of Business Research,  vol. 59, pp. 866-875

4.       Brown, Stephen (1987): “Institutional change in retailing: A review and synthesis”, European Journal of Marketing, vol.  21, no. 6, pp. 5-36

5.       Bruke , R.R. (1999) : “Retailing: Confronting the challenges that face bricks –and-mortar stores”, Harvard Business Review , vol. 24, July – August , no. 4, pp.160-77

6.       Cao, Y. & Zhao, H. (2004): “Evaluations of E-retailer's Delivery Fulfillment: Implications of Firm Characteristics and Buyer Heterogeneity”, Journal of Service Research, no. 6, pp. 347-360

7.       Deighton. J. (1997): “Exploring the implication of the Internet for consumer marketing”, J. Acad Mark Sci, vol. 25, no. 4, pp. 347-51

8.       Delone, H.W. and McLean R.E. (2004) : “Measuring e-Commerce Success: Applying Information Systems Success Model ”, International Journal of Electronic commerce, vol 9,  no 1, pp 31

9.       Dennis, C., Fenech, T. and Merrilees, B. (2004): “e-retailing”, Routledge, Taylor and Francis Group, London

10.     Doolin, B., Dillon, S., Thompson, F. and Corner, J.L. (2005): “Perceived risk, the internet shopping experience and online purchasing behaviour: A New Zealand perspective”, Journal of Global Information Management”, vol 13, no 2, ABI/INFORM Global, pp 66

11.     Dowlatshahi, S. (2000), “Developing a theory of reverse logistics”, Interfaces, Vol. 30 No. 3, pp. 143-55

12.     Eroglu, S. A., Machleit, K. A. & Davis, L. M. (2001): “Atmospheric qualities of online retailing: A conceptual model and implications”, Journal of Business Research, vol.  54, pp.77-184

13.     Evanschitzky, H. Iyer, G. R., Hesse, J., Ahlert, D. (2004): “E-satisfaction: A re-examination”  Journal of Retailing, vol. 80, no. 3, p. 239

14.     Feare, T. (2002): “Hot spots in e-fulfillment”, Modern Materials Handling, Vol. 57 No. 6, pp. 5-19

15.     Forger, G. (2000): “The secret to e-success”, Modern Materials Handling, vol. 55 no. 6, pp. 8-12

16.     Gehrt, Kenneth C., Laura J. Yale and Dianna A. Lawson (1996): "The Convenience of Catalog Shopping: Is There More to It than Time?" Journal of Direct Marketing, vol. 10, no. 4, pp. 19-28

17.     Hein, K. (2000): “Online booksellers cash in on “Harry Potter” mania”, iMarketing News, vol. 2, p. 25

18.     Huduck, B. (1998): “No silver bullet”, July/August, available at: www.opsandfulfillment.co

19.     Kim, S.Y., Lim,Y. J. (2001): “Consumers' Perceived Importance of and Satisfaction with Internet Shopping”, Electronic Markets,  vol.11, no. 3, pp. 148-154

20.     Kolesar, M.B., Galbraith, R.W. (2000): A services-marketing perspective on E-retailing: Implications for E-retailers and directions for further research”, Internet Research-Electronic Networking, vol. 10, no. 5, pp. 424-438

21.     Krueger, M. (2000): “E-fulfillment solutions”, Manufacturing Systems, vol. 18 no. 12, pp. 60-4

22.     Lam, S. Y., Chau, A. W.-L. & Wong, T. J. (2007): “Thumbnails as online product displays: How consumers process them”. Journal of Interactive Marketing, vol. 21, pp. 36-59

23.     Lavie, Talia & Noam Tractinsky (2004): “Assessing Dimensions of Perceived Visual Aesthetics of Web Sites.” International Journal of Human-Computer Studies, vol. 60, pp. 269-298

24.     Levy, M. & Weitz, B.A. (1995): “Retailing Management”, 2nd edn. Irwin, Chicago 24. Lim, H., Dubinsky, A.J. (2004): “Consumers' perceptions of e-shopping characteristics: an expectancy-value approach”, Journal of Services Marketing, vol. 18, no. 7,  pp. 500-513

25.     Peterson, R., Balasubramanian, S. & Bronneaberg, B.J. (1997): “Exploring the implications of the internet for consumer marketing”,  Journal of the Academy of Marketing science, vol 25, no 4, pp 329-346

26.     Rabinovich, E. (2004): “Internet Retailing Intermediation: A Multilevel Analysis of Inventory Liquidity and Fulfillment Guarantees”, Journal of Business Logistics, vol. 25, pp. 139-170

27.     Raman, A. (1998): „The Importance of Retail Operations: Implications for e-tail, A Presentation at the Round Table on e-tailing: The Future of Selling Online, Global Digital Community Sandbox, New York Information Technology Center, 55 Broad St, 10 July

28.     Rao, B.(1999): “Developing an  effective e-tailing strategy”, Electronic markets, vol. 9, pp 89-92

29.     Rao. B. (1999): “The Internet and the revolution in distribution: A cross-industry Examination”, Technology in Society, vol. 21, no. 3, pp. 287-306

30.     Ratchford , B.T. , Talukdar ,D.&  Lee , M.S. (2001): “ A model of consumer choice of the Internet as an information source”, International Journal of Electronic commerce, vol. 5, no. 3, pp. 7-21

31.     Tractinsky, N. and V. Srinivasan, R. (2001):. "Social Dimensions of Internet Shopping: Theory-Based Arguments for Web-Store Design." Human Systems Management, vol.20, pp.195-121

32.     Tractinsky, N. A. Cokhavi, M. K. & T. Sharfi (2006): "Evaluating the Consistency of Immediate Aesthetic Perceptions of Web Pages."  International Journal of Human-Computer Studies, vol 64: 1971-1983

33.     Turban, E., King, D., Lee, J. & Viehland, D. (2006): “Electronic Commerce A managerial perspective”, International Edition, Prentice Hall

34.     Wang, F. and Head, M. (2002): “E-tailing: An analysis of web impacts on the retail market”, Journal of Business Strategies, vol 19, no 1, ABI/INFORM Global, p. 73

35.     Zeithaml, V.A. (2002): “Service excellent in electronic channels”, Managing Service Quality, vol. 12, no.3, pp.135-138

36.     Zhang, Ping and Gisela M. von Dran. 2000. "Satisfiers and Dis-satisfiers: A Two-Factor Model for Website Design and Evaluation", Journal of the American Society for Information Science, vol.  5, no. 14,  pp. 1253–1268.


40-44

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

10.

Authors:

Ruchi Sharma

Paper Title:

Analysis of Different Multiplier with Digital Filters Using VHDL Language

Abstract:    Performance as well as  Area are the two main design tolls, power consumption also become a vital concern in  VLSI system design. A system’s performance is generally determined by the performance of the multiplier because the multiplier is  the slowest element in the system. area and speed are usually conflicting constraints so that for improving the speed of the system results  in larger areas. As a result, a multipliers with optimized area & speed has been designed with fully parallel algorithms. The need for low-power VLSI system arises from two main forces.

Keywords:
   system’s performance, area, multiplier, booth algorithm.


References:

1.        Tsung-Chieh Pao*, Ching-Chi Chang, and Chomg-Kuang Wang” A Variable-Length Dht-Based Fftilfft Processor For Vdsl/Adsl Systems” The 2004 IEEE Asia-Pacific Conference on Circuits and Systems, December 6-9, 2004
2.        L. R. Rabiner, B. Gold, "Theory and Application of Digital Signal Processing," Englewood Cliffs, NJ: Prentice-Hall, 1975.

3.        Shen-Fu Hsiao, Member, IEEE, and Wei-Ren Shiue,” Design of Low-Cost and High-Throughput Linear Arrays for DFT Computations: Algorithms, Architectures, and Implementations”, Ieee Transactions On Circuits And Systems—Ii: Analog And Digital Signal Processing”, VOL. 47, NO. 11, NOVEMBER 2000

4.        Jung-yeol Oh, Myoung-seoh Lim” Fast Fourier Transform Processor Based on Low-power and Area-efficient Algorithm” 2004 IEEE Asia-Pacific Conference on Advanced System Integrated Circuits (AP-ASIC2004)/ Aug. 4-5, 2004.

5.        Ramya Muralidharan,Chip-Hong Chang,”Radix-8 Booth Encoded Modulo Multipliers With Adaptive Delay for High Dynamic Range Residue Number System” IEEE transactions on.


45-48

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

11.

Authors:

Raj Anand, Vishnu Pratap Singh Kirar, Kavita Burse

Paper Title:

Data Pre-processing and Neural Network Algorithms for Diagnosis of Type II Diabetes:   A Survey

Abstract:   Diagnosis of type II diabetes in early stages is very challenging task due to complex inter dependence on various factors. It requires the critical need to develop medical diagnostic support systems which can be helpful for the medical practitioners in the diagnostic process. Neural network techniques have been successfully applied to the diagnosis of many medical problems. In this survey we compare the various neural network techniques for the diagnosis of diabetes. The Pima Indian data set is used to study the classification accuracy of the neural network algorithms. The various data pre-processing techniques are surveyed to improve the predictive accuracy of the neural network algorithms

Keywords:
   Type II diabetes, Pima Indian data set, neural networks, data pre-processing.


References:

1.       http://www.medicinenet.com
2.       J.C. Pickup, Williams G. (Eds.,), Textbook of diabetes, Blackwell Science, Oxford.

3.       http://www.worlddiabetesfoundation.org

4.       A. Frank and A. Asuncion, “UCI Machine Learning Repository

5.       [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science”, (2010)

6.       M. Giardina, Y. Huo, F. Auaje, P. McCullagh, “A missing data estimation analysis in type II diabetes databases”, Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems, 2005, pp. 347-352.

7.       H. Temurtas, N. Yumusak, and F. Temurtas, “A comparative study on diabetes disease diagnosis using neural network: Expert System with Applications”, 36, 2009, 8610-8615.

8.       A. J. Seibel, “Diabetes Guide WebMD”,

9.       http://diabetese.webmd.com/guide/oral-glucose-tolerance-test, 2007

10.     G. Guo , H. Wang , D.Bell ,Y. Bi and K. Greer,” KNN model-based approach in classification”, Springer-Verlag Berlin, 2888, 2003, 986-996.

11.     M. Lee , T M Gatton and Lee K-K. “A monitoring and advisory system for diabetes patient management using rule based method and KNN, Sensors”, 10, 2010, 3934-3953.

12.     T Jayalakshmi and A Sahthakumaran”, “Improved gradient descent back propagation neural network for diagnosis of type II diabetes mellitus”, “Global journal of Computer Science and Technology”, 9, 5 (Ver. 2.0), 2010, 94-97.

13.     S. Manocha and M.A. Girolami, “An empirical analysis of the probabilistic K-nearest neighbour classifier”, pattern recognition letters, 28,2007, 1818-1824.

14.     C.C.Holmes and N.M. Adams, “A probabilistic nearest neighbour method for statistical pattern recognition”, “Journal of the Royal Statistical Society - Series B: Statistical Methodology”, 64, 2, 2002, 295-306.

15.     K.Polat and S.Güneş”, “An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease”, “Digital image processing”, 17, 4, 2007, 702-710.

16.     F. Tang, and H.Tao, “Fast linear discriminant analysis using binary bases”, “Proc. of the 18th International Conference on Pattern Recognition (ICPR’06)”, (2006).

17.     P. J. G. Lisboa, “A review of evidence of health benefit from artificial neural networks in medical intervention, Neural Networks”, 15, 2002, 11-39.

18.     M. Shanker , M.Y. Hu, and M.S. Hung, “Estimating probabilities of diabetes mellitus using neural networks”,”SAR and QSAR in Environmental Research”, 11, 2000, 2, 133-147.

19.     F. Temurtas, “A comparative study on thyroid disease diagnosis using neural networks”, “Expert system with applications, 36, 2009, 8610-8615.

20.     K. Kayer and T. Yildirim, “Medical diagnosis on Pima Indian diabetes using general regression neural neteorks, Proc. International Conference on Artificial Neural Networks and Neural Information Processing (ICANN/ ICONIP)”, 2003, pp.181-184.

21.     G. Arulampalam and A. Bouzerdoum, “A generalised feed forward neural network architecture for classification and regression”, “Neural Networks”, 16, 2003,561-568.

22.     K. POLAT, S.GUNES AND A. ARSLAN , “A CASCADE LEARNING SYSTEM FOR CLASSIFICATION OF DIABETES DISEASE: GENERALIZED DISCRIMINANT ANALYSIS AND LEAST SQUARE SUPPORT VECTOR MACHINE”, “EXPERT SYSTEMS WITH APPLICATIONS”, 34, 1,2008, 482-487.

23.     D.Çalişir and E. Doğanteki., “An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier. Expert Systems with Applications”, 38, 2011, 8311-8315.

24.     M. Islam, Md R Rana, S.U. Ahmed, A. N. M. Enamul Kabir and Md. Shahjahan, “Training neural network with chaotic learning rate”, “Proc. of IEEE International Confererence on Emerging trends in Electrical and Computer Technology (ICETECT 2011)”,2011, 781-785.

25.     A. B. Van Wyk , and A. P. Engelbrecht, “Lambda-Gamma learning with feed forward neural networks using particle swarm optimization”, “Proc. IEEE symposium on swarm intelligence”, Paris 2011, 1-8.

26.     E. Dogantekin, A. Dogantekin, D. Avci and L.L. Avci, “An intelligent diagnosis system for diabetes on linear discriminant analysis and adaptive network based fuzzy inference system: LDA-ANFIS”, “Digital Signal Processing”, 20,2010, 1248-1255.


49-52

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

12.

Authors:

Hamdy Mohamed Soliman, S. M. EL. Hakim

Paper Title:

Improvement the Current Control Methods for Three Phase Voltage Source Inverter to Drive the Permanent Magnet Synchronous Motor

Abstract:    Three phase pluse width modelation voltage soruce inverter are widly used in many industrial application such as the drive system. The performance of the drive systems depend up on the motor control and method of control in power converter. From the most important methods to control the power converter are current and voltage controls. The current control is preferable. This is because it is simple. The quality control of this method depends upon the quality of the waveform is generated by current controlled of converter. This paper aims to improve the performance of Ac drives through the improvement the different methods of the current controlled. Here the classical hysteresis controller, ramp type controller and delta modulator controller are discussed and improvement by general design of PI current controller for each phase. The improvement can be seen through the torque ripple and total harmonic distortion. The proposed model is compared to classical model to show the effectiveness of the proposed model. This work is simulated through matlab simulink.

Keywords:
   hysteresis controller, delta modulator controller, ramp type controller,  matlab simulink.


References:

1.        Goed, I. da Silva and P. Jose, A. Serni, “A hybrid controller for the speed control of a permanent magnet synchronous motor drive,” Control Engineering Practice, Vol. 16, Issue 3, pp. 260-270, March, 2008.
2.        C. Mademlis and N. Margaris, "Loss minimization in vector-controlled interior permanent-magnet synchronous motor drives", Industrial Electronics, IEEE Transactions on, vol. 49, pp. 1344-1347, 2002.

3.        X. Jian-Xin, S. K. Panda, P. Ya-Jun, L. Tong Heng, and B. H. Lam, "A modular control scheme for PMSM speed control with pulsating torque minimization", Industrial Electronics, IEEE Transactions on, vol. 51, pp. 526-536, 2004.

4.        Jinggang zhang, Zhiyuan Liu and Run Pei, “Two-Degree-of-Freedom internal model control for AC servo system (Periodical style),” Transactions of China Electrotechnical Society, vol. 17, no. 4, pp. 45-48, 2002.

5.        Shengxian Zhuang, Xuening Li and Zhaoji Li, “ The application in the speed regulating of asynchronous machine vector frequency changing based on adaptive internal model control (Periodical style),” Journal of University of Electronic Science and Technology of China, vol. 28,no.5, pp.502-504, 1999.

6.        P. L. Jansen and R. D. Lorentz, "Transducerless position and velocity estimation in induction and salient AC machines", IEEE Trans. Ind. Applicat., vol. 31, pp. 240–247, Mar./Apr. 1995.

7.        P. L. Jansen, R. D. Lorenz, and D. W. Novotny, "Observer-based direct field orientation: Analysis and comparison of alternative methods",” IEEE Trans. Ind. Applicat., vol. 30, pp. 945–953, July/Aug. 1994.

8.        M. P. Kazmierkowski, and L. Malesani, "Current control techniques for three-phase voltage-source PWM converters: a survey", IEEE Trans. Ind. Electron., vol. 45, no. 5, October, 1998, pp. 691-703.

9.        B. k. Bose, "An adaptive hysteresis-band current control technique of a voltage - fed PWM inverter for machine drive system", IEEE Trans., on Ind. Appl., Vol.IA-37, pp.402-408, 1990

10.     Hamdy Mohamed soliman and S. M. EL. Hakim," Improved Hysteresis Current Controller to Drive Permanent Magnet Synchronous Motors Through the Field Oriented Control", International Journal of Soft Computing and Engineering , Vol. 2, No. 4, September 2012, pp. 40-46.

11.     D. M. Brod and D. W. Novotny, “Current Control of VSI-PWM Inverters,” IEEE Trans. on Industry App. vol. IA-21. no. 4, May/June 1985

12.     Phoivos D.Ziogas, “The Delta Modulation Technique in Static PWM Inverters” IEEE Transactions on Industrial Applications, March/April 1981.pp.199-204.

13.     R. D. L. Deepakraj, and M. Divan, “Dynamics Analysis & Experimental Evaluation of Delta Modulators for Field oriented AC Machine current Regulators,” IEEE Transactions on Industry Applications, Vol. 26, No. 2, March/April 1990, pp. 296-301.


53-61

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

13.

Authors:

Debanjan Mukherjee, Asim Kumar Jana, Malay Kumar Pandit

Paper Title:

A Novel Power Conditioning Unit (PCU) using Adaptive Signal Processing for Low THD

Abstract:    The presence of harmonic in power system is a major concern to power engineers. With the heavy usage of non- linear loads in power systems, the harmonic effect becomes more serious. One of the most popular computation algorithms for harmonic analyzer is Fast Fourier Transform (FFT). In this paper ,single  phase current waveform is taken from a three phase supply fed to motor through power analyzer interfaced with PC. FFT is done using MATLAB program on the imported data. After that, same waveform like the current waveform obtained from the hardware setup is created in MATLAB SIMULINK window. That created waveform is filtered by Normalized LMS Filter to reduce Total Harmonic Distortion (THD) in the filtered output. Comparison is done between the hardware results with the software simulated results. THD value is reduced from at max 12.03% to at min 0.17%, which has set a new record to our best knowledge.

Keywords:
   FFT, SIMULINK, NLMS Filter, Total Harmonic Distortion (THD).


References:

1.       E. Acha and M. Madrigal, Power Systems Harmonics. West Sussex: John Wiley & Songs, Ltd, 2001.
2.       J. Arrillaga and N. R. Watson, Power System Harmonics. 2nd ed. Christchurch: John Wiley & Sons Ltd, 2003.

3.       A. Mehorai and B. Porat, “Adaptive comb filtering for harmonic signal enhancement,” IEEE Trans. Acoust. Speech Signal Processing, vol. ASSP-34, no. 5, pp. 1124–1138, Oct. 1986.

4.       G. Takata, et al., “The time-frequency analysis of the harmonics with wavelet transform for the power electronics systems,” in Proc. Power Conversion Conf., vol. 2, Apr. 2002, pp. 733–737.

5.       Y. Z. Liu and S. Chen, “A wavelet based model for on-line tracking of power system harmonics using Kalman filtering,” in Proc. IEEE Power Engineering Society Summer Meet., vol. 2, Jul. 2001, pp. 1237–1242.

6.       H. Xue and R. Yang, “A novel algorithm for harmonic measurement in power system,” in Proc. Int. Conf. PowerCon, vol. 1, Oct. 2002, pp. 438–442.

7.       M. Meunier and F. Brouaye, “Fourier transform, wavelets, Prony analysis: tools for harmonics and quality of power,” in Proc. 8th Int. Conf. Harmonics Quality Power, vol. 1, Oct. 1998, pp. 71–76.

8.       A.A. Girgis, The Fast Fourier Transform and Its Applications. Upper Saddle River, NJ: Prentice-Hall, 1990.

9.       A. N. Mortensen and G. L. Johnson, “A power system digital harmonic analyzer,” IEEE Trans. Instrum. Meas., vol. 37, no. 4, pp. 537–540, Dec. 1988.

10.    TMS320C6713 DSK Technical Reference, 506735-0001 Rev.A, May, 2003.

11.    S.Kumar,V.Joshi and V.Hiremath,”Real Time Harmonic Analysis Of Single Phase Supply Using TMS320C6713”in IEEE conference 2011 ,pp. 173-176.

12.    N. Gupta1, S. P. Singh, S. P. Dubey” DSP based adaptive hysteresis-band current controlled active filter for power quality conditioning under non-sinusoidal supply voltages” in International Journal of Engineering, Science and Technology Vol. 3, No. 4, 2011, pp. 236-252.

13.    Singh B. N., Singh, B., Chandra, A., Rastgoufard, P., and Al-Hadded, K., 2007. An improved control algorithm for active filters. IEEE Trans. on Power Delivery, Vol. 22, No. 2, pp. 1009-1020.

14.    Ucar M., and Ozdemir, E., 2008. Control of a 3-phase 4-leg active power filter under non-ideal mains voltage condition. Electric Power System Research, Vol. 78, pp. 58-73.

15.    V.K.Gupta, M.Chandra, S.N.Sharan, “Real Time Implementation Of Adaptive Noise Canceller”,International Conference On Sysmetics,Cybernetics and Informatics,pp.24-27.

16.    Simon Haykin , “Adaptive Filter Theory”, 4th ed., Pearson Education, Delhi, 2002.

17.    Proakis, “Digital Signal Processing: Principles, Algorithms, And Applications”, 4/E.  Edition, 4, reprints, Pearson Education, 2007.

18.    Ramesh Babu, C. Durai, “Digital Signal Processing”, Laxmi Publications, 2005.


62-68

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

14.

Authors:

Vinay Dawar, Mohit Bansal

Paper Title:

Denoising of Image Using Least Minimum Mean Square Error

Abstract:    In this paper, image denoising by linear minimum mean square-error estimation (LMMSE) scheme is proposed and also the determination of best suited wavelet for image denoising has been discussed. The over complete wavelet expansion (OWE) in noise reduction is used for taking the effective result instead of orthogonal wavelet transform. A vector has been designed by the combining the pixels at the same spatial location across scale to explore the strong inter-scale dependencies of OWE and apply LMMSE to the vector. Now, the performance evaluation of the proposed scheme is done by using different wavelet family. To measure the denoising performance, two criteria are used, first is signal information extraction and second is distribution error criterion. The best suite wavelet, which achieves best results between these two criteria, can be selected from wavelet family. To exploits the wavelet intrascale dependency and image discrimination, estimate the wavelet coefficients statistics and wavelet coefficient is classified by Context modelling.

Keywords:
   Linear Minimum Mean Square-Error estimation (LMMSE), over complete Wavelet Expansion (OWE).


References:

1.        B. M. Sadler and A. Swami, “Analysis of multiscale products for step detection and estimation,” IEEE Trans. Inform. Theory, vol. 45, no. 4, pp. 1043–1051, April 1999.
2.        D. L. Donoho, “De-noising by soft thresholding,” IEEE Trans. Inform.      Theory , vol. 41, no. 5, pp. 613–627, May 1995.

3.        D. L. Donoho and I. M. Johnstone, “Adapting to unknown smoothness  via wavelet shrinkage,” J. Amer. Stat. Assoc., vol. 90, pp. 1200–1224, Dec. 1995.

4.        E. W. Karmen and J. K. Su, Introduction to Optimal Estimation. London, U.K.: Springer-Verlag, 1999.

5.        Guoliang Fan, “Image denoising using local contextual hidden Markov model in the wavelet domain,” IEEE Signal Process. Lett., vol. 8, no. 5, pp. 125–128, May 2001.

6.        G. Fan and X. G. Xia, “Improved hidden Markov models in the wavelet domain,” IEEE Trans. Signal Process., vol. 49, no. 1, pp. 115–120, Jan.2001.

7.        I. Daubechies, “Orthonormal bases of compactly supported wavelets,”Comm. Pure Appl. Math., vol. 41, pp. 909–996, 1988.

8.        I. Daubechies, and J. C. Feauveau, “Biorthogonal bases of compactly supported wavelets,” Comm. Pure Appl. Math., vol. 45, pp. 485–560, 1992.

9.        J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli, “Adaptive wiener denoising using a gaussian scale mixture model in the wavelet domain,” in Proc. 8th Int. Conf. Image Processing, vol. 2, Thessaloniki, Greece, Oct. 2001, pp. 37–40.

10.     J. M. Shapiro, “Embedded image coding using zerostrees of wavelet coefficients,” IEEE Trans. Signal Process., vol. 41, no. 12, pp. 3445–3462, Dec. 1993.

11.     J. Liu and P. Moulin, “Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients,” IEEE Trans. Image Process., vol. 10, no. 11, pp. 1647–1658, Nov. 2001.

12.     J. Liu and P. Moulin, “Image denoising based on scale-space mixture modeling for wavelet coefficients,” in Proc. ICIP’99, Kobe, Japan, Oct. 1999, pp. I.386–I.390.

13.     L. Zhang, “Noise reduction for magnetic resonance images via  adaptive multiscale products thresholding,” IEEE Trans. Medical Imaging, vol. 22, no. 9, pp. 1089–1099, Sep. 2003.

14.     L. Zhang and P. Bao, “Edge detection by scale multiplication in wavelet domain,” Pattern Recognit. Lett., vol. 23, pp. 1771–1784, 2002.

15.     M. Crouse, R. Nowak, and R. Baraniuk, “Wavelet-based statistical signal processing using hidden Markov models,” IEEE Trans. Signal Process., vol. 42, no. 4, pp. 886–902, Apr. 1998.

16.     M. K. Mihçak, I. Kozintsev, K. Ramchandran, and P. Moulin, “Low complexity image denoising based on statistical modeling of wavelet coefficients,” IEEE Signal Process. Lett., vol. 6, no. 12, pp. 300–303, Dec. 1999.

17.     Q. Pan, L. Zhang, G. Dai, and H. Zhang, “Two denoising methods by wavelet transform,” IEEE Trans. Signal Process., vol. 47, no. 12, pp. 3401–3406, Dec. 1999.

18.     R. R. Coifman and D. L. Donoho, “Translation-invariant de-noising,” in Wavelet and Statistics, A. Antoniadis and G. Oppenheim, Eds. Berlin, Germany: Springer-Verlag, 1995.

19.     R.W. Dijkerman and R. R. Mazumdar, “Wavelet representations of stochastic processes and multi resolution stochastic models,” IEEE Trans. Signal Process., vol. 42, no. 7, pp. 1640–1652, Jul. 1994.

20.     S. G. Chang, B. Yu, and M. Vetterli, “Adaptive wavelet thresholding for image denoising and compression,” IEEE Trans. Image Process., vol. 9, no. 9, pp. 1532–1546, Sep. 2000.

21.     S. G. Chang , “Spatially adaptive wavelet thresholding with context modeling for image denoising,” IEEE Trans. Image Process., vol. 9, no. 9, pp. 1522–1531, Sep. 2000.

22.     S. T. Hsiang, “Embedded image coding using zero blocks of sub-band/ wavelet coefficients and context modeling,” in Proc. Data Compression Conf., 2001, pp. 83–92.

23.     S. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” IEEE Trans. Pattern Anal. Machine Intell., vol. 11, no. 7, pp. 674–693, Jul. 1989.

24.     S. Mallat and S. Zhong, “Characterization of signals from multiscale edges,” IEEE Trans. Pattern Anal. Machine Intell., vol. 14, no. 7, pp.710–732, Jul. 1992.

25.     T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1991.

26.     X. Li and M. Orchard, “Spatially adaptive image denoising under over complete expansion,” in Int. Conf. Image Process., Vancouver, Canada, Sep. 2000, pp. 300–303.

27.     X. Wu, “Lossless compression of continuous-tone images via context selection, quantization, and modeling,” IEEE Trans. Image Process., vol.6, no. 5, pp. 656–664, May 1997.

28.     Y. Xu, J. B. Weaver, D. M. Healy, and J. Lu, “Wavelet transform domain filters: a spatially selective noise filtration technique,” IEEE Trans. Image Process., vol. 3, no. 11, pp. 747–758, Nov. 1994.

29.     Y. Yoo, A. Ortega, and B. Yu, “Image sub-band coding using context-based classification and adaptive quantization,” IEEE Trans. Image Process., vol. 8, no. 12, pp. 1702–1715, Dec. 1999.


69-73

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

15.

Authors:

R. Kamala, B. Krishna Rao

Paper Title:

Reuse of Solid Waste from Building Demolition for the Replacement of Natural Aggregates

Abstract:    In this industrial world, recycling construction material plays an important role to preserve natural resources. These studies seek to greener environment since it seeks to develop recycle waste material for construction. The use of recycle aggregates and solid wastes from construction and demolition waste is showing a prospective application in construction and as alternative to primary and natural aggregate. It conserves natural resources and reduces the space required for land fill disposal. In the laboratory the crushed tile aggregate has been tried as partial replacement substitute to convectional coarse aggregate in concrete making of cubes, cylinders, beams. These were cast and tested for compressive strength, split tensile and flexural strength after a curing period of 7, 28, 56 days. The results indicate effectiveness of crushed ceramic waste as partial replacement of conventional coarse aggregate up to 40 percent, without affecting the design strength.

Keywords:
   ceramic waste, demolition waste, super plasticizer, solid waste, conventional coarse aggregates.


References:

1.       How-Li Chen*, Tsong Yen, Kuan-Hung Chen. Use of building rubbles as recycled aggregates. Cement and concrete research 33(2003)125-132.
2.       I.  B. Topcu** and Canbaz. Utilization of crushed tile as aggregate in concrete. Iranian Journal of science & technology, Transaction B, Engineering, Vol. 31, No. B5, pp561-565

3.       Yong, P.C. and Teo, D.C.L. Utilization of recycled aggregate as coarse aggregate in concrete. UNIMAS E-Journal of civil engineering, Vol. 1: issue 1/August 2009

4.       Investigations on stone dust and ceramic scrap as aggregate replacement in concrete. International journal of civil and structural Engineering volume1, No 3, 2010.

5.       Corinaldesi, V., Giuggiolini, M & Moriconi, G. (2002). Use of building rubbles from building demolition in mortars. Waste Management, Vol, 22, pp. 893-899.

6.       Mansur, M. A., Wee, T.H. & Cheran, L. S. (1999). Crushed bricks as coarse aggregate for concrete.ACI Materials Journal Vol. 96, No.4, pp. 478-484.

7.       Khaloo, A. r. (1995). Crushed tile coarse aggregates concrete. Cement, Concrete,/ and Aggregates (ASTM journal), Vol. 17, No. 2, pp. 119-125.

8.       Sagoe- Crentail, K. K., Brown, T. & Taylor, A. H. (2001). Performance of concrete made with commercially produced coarse recycled concrete aggregate. CCR, Vol. 031,pp 707-712.

9.       Frondiston, Y.S. (1977). ‘Waste Concrete as aggregate for New Concrete.’ ACI journal (August); 373-376.

10.     C.S.Poon*, S.C.kou and L.Lam.Use of recycled aggregates in moulded concrete bricks and blocks

11.     Khalaf, F. M. et al.(2004).’Recycling of demolished masonry rubble as coarse aggregate in concrete. Review’. ASCE J Mater civil Eng (2004,331)-340

12.     Rao, A., Jha, K.n. and Misra S.(2005).’Use of aggregates from recycled construction and demolition waste in concrete’. Journal of resources conservation and recycling, 50(2007); 71-81.

13.     Gonzalez, F.B. and Martinez, A.F. (2006).Concrete with aggregates from demolition waste and silica fume. Materials and mechanical properties.’ of Journal of Building and Environment.

14.     Malhotra, V.M. (1978).’Use of recycled concrete with aggregates.’ Proceedings of the symposium on Energy and resource conservation in the Concrete Industry CANMET rep.No. 76-8, CAMNET, Ottawa Canada(1978):;4-16.


74-76

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

16.

Authors:

Sajjan Singh, Rasveen, S. V. A. V. Prasad

Paper Title:

A Parametric Scheme to Perform an Efficient and Reliable Vertical Handover

Abstract:   Wimax and Wifi technologies are the high speed networks. These type of technologies are the telecommunications technologies that offers transmission of wireless. In such kind of networks ea Abstract:  Wimax and Wifi technologies are the high speed networks. These type of technologies are the telecommunications technologies that offers transmission of wireless. In such kind of networks each mobile user is controlled by its owner base station. As a node move  outside the coverage area of its base station, this process is called handover. To keep the uninterrupted communication between two nodes during the handover process is a challenging task. In case of vertical handover this process is more critical.  To perform the effective handover process the parametric changes are suggested here to perform the selection of Base Station. The obtained results shows the proposed work has improve the network throughput during vertical handover process

Keywords:
   Handover, Wimax, WiFi, Vertical Handover, Throughput.


References:

1.        Wonjun Lee, “Movement-Aware Vertical Handoff of WLAN and Mobile WiMAX for Seamless Ubiquitous Access”, IEEE Transactions on Consumer Electronics, Vol. 53, No. 4, NOVEMBER 2007
2.        Omar Khattab and Omar Alani , “Improvements to Seamless Vertical Handover between Mobile WiMAX,Wi-Fi and 3GPP through MIH”, ISBN: 978-1-902560-26-7 © 2012 PGNet

3.        ianlin Guo, Tsutomu Tsuboi, Jinyun ZhanG, “Location Aware Fast Handover Between WiMax and WiFi Networks”, Mitsubishi Electric Research Laboratories, Inc., 2010

4.        Malak Zareif Habeib, “Battery Based Vertical Handover between WiMAX and WLAN Technologies”, 978-1-4244-5118-0/11©2011 IEEE

5.        Kire Jakimoski, “QoS Challenges of Real Time Traffic during UMTS/WiMAX/WLAN Vertical Handovers”, 18th Telecommunications forum TELFOR 2010   Serbia, Belgrade, November 23-25, 2010.

6.        Jaeho Jo and Jinsung Cho, “A Cross-layer Vertical Handover between Mobile WiMAX and 3G Networks”, 978-1-4244-2202-9/08 © 2008 IEEE

7.        Jayalakshmi.S , Kumari Khushboo, “A QoS Aware Vertical Handover  In Mobile Network”, International Journal of Communication Network and Security (IJCNS) ISSN: 2231-1882  Volume. 1 , Issue. 3

8.        Yu-Chang Chen, “Advanced seamless vertical handoff architecture for WiMAX and WiFi heterogeneous networks with QoS guarantees”, Computer Communications 32 (2009) 281–293

9.        Bushra Naeem, “Seamless Vertical Handover in WiFi and WiMAX Networks using RSS and Motion Detection: An Investigation.”, The Pacific Journal of Science and Technology        Volume 12.  Number 1.  May 2011 (Spring)

10.     Rajender Kumar and Brahmjit Singh, “COMPARISON OF VERTICAL HANDOVER MECHANISMS USING GENERIC QOS TRIGGER FOR NEXT GENERATION NETWORK“,International Journal of Next-Generation Networks (IJNGN) Vol.2, No.3, September 2010

11.     Mohammed Shakil, “WLAN-WiMAX Vertical Handover Hybrid Satisfaction Mechanism”,

12.     Z. Dai a, R. Fracchia, “Vertical handover criteria and algorithm in IEEE 802.11 and 802.16 hybrid networks”, IEEE Communications Magazine, Vol.41 No. 11, Nov. 2006

13.     Rastin Pries, Dirk Staehle, “A Seamless Vertical Handover Approach”, IEEE Wireless Communications, 12(3):66–72, June 2005.

14.     Haidarali K. Ansari, “Efficient Handover  among WiMAX and WiFi”, International Journal of Computer Science and Application Issue 2010 ISSN 0974-0767

15.     Sayan Kumar Ray, “Handover in Mobile WiMAX Networks: The State of Art and Research Issues”, In Proc. of International Conference on Wireless Communications, Networking, and Mobile Computing (WiCom), pages 1805-1808, 21-25 September 2007.


77-80

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

17.

Authors:

A.Venkateswara Rao, KSV Prasad, M Avinash, K Nagababu, V Manohar, PSR Raju,  GR Chandra

Paper Title:

A Study on Deflection of a Bimetallic Beam under Thermal Loading Using Finite Element Analysis

Abstract:    This paper presents a series of load-deflection tests on bimetallic beams in order to develop a load – deflection model for bimetallic beam with under thermal loading condition. The proposed model is based on analysis of a series of Finite element analysis generated models.A total of 8 beams of length 5000mm and 100m height  is tested under thermal loading from 1000C to 4000C.The results are noted for each computation. The main objective of this investigation is to propose an empirical model which predicts the deflection of the bimetallic beam for a given temperature. Finally a model is proposed and it is validated using finite element analysis.

Keywords:
   Load Deflection Test, Bimetallic Beams


References:

1        Ghionea, I.G. (2007). Projector assistant in CATIA V5-Elemente theoretic aplicaţii, BREN Publishing House, ISBN 978-973-648-654-8.
2.       Kanthal, AB. (2008). Thermostatic Bimetal Handbook, Available from: Accessed: 7.01.2011.

3.       Sandberg, R.J., (2000). Temperature Measurement, CRC Press. Available.wordpress.com/2009/09/ch32.pdf.

4.       Ansys Tutorials, release 12.0

5.       Zahariea, D., Stachie, M. (2010). Structural Analysis of a Bimetallic StripThermostat. Buletinul  Institutului Politehnic din Iaşi, Tom LVI (LX), Fasc.2,Secţia Construcţii de Maşini, ISSN 1011-2855, pp.221-226.

6.       Zamani, N.G. (2005). CATIA V5-FEA Tutorials, SDC Publications, ISBN 1- 58503-259-X.

7.       Aleck, B.J., 1949,”thermal stresses in a rectangular plate clamped along an edge,” ASME journal of Applied Mechanics, vol.16.pp.118-122.

8.       Blech, J.J.,and Kantor, Y.,1984,”An Edge Problem Having No Singularity at the Corner,” Computers and Structures, Vol. 18, No.4, ppp 609-617.


81-82

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

18.

Authors:

Maryam Shabro, Milad Amir Toutounchian, Mehrnaz Khodam Hazrati

Paper Title:

Rapid Prototyping Environment for Power Line Modem Design, Implementation, Verification, and Optimization

Abstract:    This paper describes design, implementation, verification and optimization of a power line modem with model-based evaluation approach. Nowadays, model-based design for embedded systems is used extensively to accelerate the development time and to improve the quality of the resulting applications by systematic design and test. The majority of DSP designers today use the MathWorks software includes MATLAB and/or Simulink as a foundation tool not only for simulation but also for real-time target specific C-code generation. In our modem project, all parts including transmitter, receiver, I/O drivers and startup protocols have been realized entirely in Simulink environment for simulation and hardware implementation. A floating-point DSP has been carried out to minimize the time required to convert simulation software into real-time code. In order to verify the algorithms, real-time data exchange has been developed to test our DSP designs in-situ with real data. Finally, for code optimization, profiling method has been employed to identify segments of generated code that may benefit from additional modification.

Keywords:
 High Voltage Power Line Modem, Legacy Code Integration, Model-based Design, Profiler, S-function and Target for TI C6000.


References:

1.       N. Suljanovic, A. Mujcic, M. Zajc and J.F. Tasic, “Computation of high-frequency and time characteristics of corona noise on HV power line”, IEEE Trans. Power Delivery, vol. 20, no. 1, pp. 71-79, 2005.
2.       S. B. Borb´ely, C. Zinner and W. Kubinger, “Software design and model-based evaluation of a high performance library for EVS”, Proc. 15th IASTED International Conf. on Applied Simulation and Modeling, Rhodes, Greece, pp. 84-88, 2006.

3.       The MathWorks: Target for TI C6000, Version 3.3, September, 2007.

4.       O. Martin and H. Meyr, “Digital filter and square timing recovery”, IEEE Trans. Commun., vol. 36, no. 5, pp. 605-612, 1988.

5.       W. Jianxin and J. Spiedel, “16QAM symbol timing recovery in the upstream transmission of DOCSIS standard”, IEEE Trans. Broadcasting, vol. 49, no. 2, pp.211-216, 2003.

6.       D. Chris, F. Harris and M. Rice, FPGA implementation of carrier synchronization for QAM receivers, Journal of VLSI Signal Processing, 36, 2004, 57-71.

7.       Texas Instruments: How to Write an RTDX Host Application Using MATLAB, Application Report, SPRA386, May, 2002.

8.       S. A. Tretter, Constellation shaping, nonlinear precoding, and Trellis coding for voiceband telephone channel modems: with emphasis on ITU-T recommendation V.34 (Kluwer Academic Publications, 2002).

9.       R. Chassaing, Digital signal processing and applications with the C6713 and C6416 DSK (John Wiley & Sons, Inc., Publication, 2005).


83-87

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

19.

Authors:

R.Ramesh, N.Murugan

Paper Title:

Production and Characterization of Aluminium 7075 – T651 Alloy / B4C Surface Composite by Friction Stir Processing

Abstract:   Aluminum-based composites reinforced with hard ceramic particles offers high strength, stiffness, and resistance to wear. That combination of properties produced on the surface makes surface composites attractive to a wide range of applications in automotive and aerospace industries. Several modification techniques, such as high energy laser beam, plasma spraying, cast sinter and electron beam irradiation have been developed over the last two decades to fabricate surface metal matrix composites. Those techniques are based on liquid phase processing at high temperature and various problems such as reaction between reinforcement and matrix are encountered. Those limitations can be overcome if processing of surface composite is carried out in solid state. Friction stir processing is an emerging novel, green and energy efficient processing technique to fabricate surface composites which is based on the basic principles of friction stir welding. The distinct advantages of FSP are microstructural refinement, densification, homogeneity, accurate control and variable depth of the processed zone. Among the various metal matrix composites aluminum 7075 – T651 will find more applications. In this paper, it details about the fabrication of Al 7075-B4C surface composites by friction stir processing (FSP) to have improved surface hardness and wear resistance. It was found that the average hardness of friction stir processed surface composite was 62% higher than that of the base metal Aluminum 7075 – T651. The increase in hardness was attributed to fine dispersion of B4C particles and fine grain size of the Aluminum matrix

Keywords:
   Friction Stir Processing, Boron Carbide, Brinell hardness, Design of Experiments


References:

1     Friction stir processing: a tool to homogenize Nano Composite aluminum alloys by Rajiv S. Mishra et  al.  Scripta  mater.  44 (2001) 61–66.
2     Friction Stir Processing Technology: Rajiv Mishra (Pg.No: 330 – 366)

3     Microstructural and Tribological properties of Al5083 based surface  hybrid composite produced by friction stir  processin by S. Suleiman et al. Wear 278– 279 (2012)  41– 47.

4     Fabrication of SiC particle reinforced composite on  aluminium surface by friction stir processing by E. R. I. Mahmoud, K.Ikeuchi and  M.Takahashi.

5     Superplastic deformation behaviour of FSP by Ma, Z.Y., Mishra, R.S., Mahoney, M.W., 2002. 7075Al alloy. Materials. 50, 4419–4430.

88-90

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

20.

Authors:

S.Sundeep, Ch.Shankar Rao

Paper Title:

A Novel Approach of an Isolated Controlling Scheme for the Stability Enhancement of UPFC

Abstract:    The stability criteria in distributed power system are developed. The controller operation of a UPFC unit is proposed and an isolated controlling approach to shunt and series controlling operation is proposed. The observation of the isolated control operation illustrates a simple and effective approach for UPFC operation. The Stability criterion for the voltage parameter is proposed and evaluated.

Keywords:
   Stability, power quality, UPFC, isolated shunt and series controlling


References:

1.        Carson W. Taylor, Power System Voltage Stability, McGraw-Hill, New York.
2.        Thierry Van Sutsemand Costas Vournas, Voltage Stability of Electric Power Systems,Kluwer Academic Publishers, Boston.

3.        Prabha Kundur, Power System Stability and Control, McGraw-Hill, New York.

4.        Li-Xin Wang, A Course in fuzzy systems and control, Prentice Hall, NJ 1997.

5.        Timothy J. Ross, Fuzzy logic with engineering applications, McGraw-Hill, New York.

6.        Daniel McNeill and Paul Freiberger, Fuzzy Logic, Simon and Schuster, Inc., New York.

7.        Narain G. Hingorani and Laszlo Gyugi, Understanding FACTS, concepts and Technology of Flexible AC Transmission Systems, IEEE press, NJ.

8.        Eurostag, Eurostag Software Release Notes, Tractebel-EDF, Release 4.1, Dec 2000.

9.        R. Mohan Mathur and Rajiv K. Varma, Thyristor – Based FACTS Controllers for Electrical Transmission systems, John Wiley & Sons, Inc. and IEEE Press.

10.     Yong Hua Song and Allan T Johns, Flexible ac transmission systems (FACTS), TJ International Ltd.

11.     IEEE Task Force on Load Representation for Dynamic Performance, “Standard Load Models for Power Flow and Dynamic Performance Analysis”, IEEE Transactions on Power Systems, Vol.10, No. 3, May 1995.

12.     IEEE Task Force on Load Representation for Dynamic Performance, “Biography on Load Models for Power Flow and Dynamic Performance Simulation”, IEEE Transactions on Power Systems, Vol.10, No. 1, Feb. 1995.

13.     D. J. Hill, “Nonlinear Dynamic Load Models for Voltage Stability Studies,” IEEE Transactions on Power Systems, Vol. 8, No. 1, May 1992.

14.     Ali H. Nayfeeh, Ahmad M. Harb and Char-Ming Chin, “Bifurcations in a Power System Model”, International Journal on Bifurcation and Chaos, Vol. 6, No. 3 (1996) p 497-512

15.     L. Zadeh, “Fuzzy sets,” Information and Control, vol.8, pp.338-353, 1965. Satish Maram References 94

16.     T.J. Ross, Fuzzy Logic, McGraw-Hill, Inc., New York, 1995.

17.     R. Mihalič, P. Žunko and D. Povh, “Improvement of Transient Stability using Unified Power Flow Controller”, IEEE Transactions on Power Delivery, Vol. 11, No. 1, January 1996, p. 485-492.

18.     Karl Schoder, Azra Hasanovic and Ali Feliachi, “Enhancing Transient Stability using a Fuzzy Control Scheme for the Unified Power Flow Controller (UPFC)”, Procedures IEEE Midwest Symposium on Circuits and Systems, Lansing MI, Aug 8-11, 2000.

19.     Karl Schoder, Azra Hasanovic and Ali Feliachi, “Power System Damping using Fuzzy Controlled Unified Power Flow Controller”, 0-7803-6672-7/01 © 2001 IEEE.


91-96

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

21.

Authors:

Mehdi Kazemi, Arman Goudarzi

Paper Title:

A Novel Method for Estimating Wind Turbines Power Output Based On Least Square Approximation

Abstract:    According to modernization in all over the world, renewable energies are getting more issues in power systems. Wind energy is one of the most promising renewable energies which could be utilized in power system to supply load demand.  Installation of wind turbine generator (WTG) as a fuel saver and environment protector is too attractive since the manufacturing cost of WTGs is reduced.  Computing the power output of a wind turbine generator is one of the most important issues which could affect the scheduling of the grid incorporated with wind farms. Many methods and models have been discussed in previous studies which are not accurate to predict the wind power output. This paper presents a new method to model power output of WTGs based on least square approximation and performance curve of the WTG which is given by the manufacturers. To demonstrate the capability of the method a case study composed of four WTGs with different power output each was conducted and the results have been compared with the previous models and found that this method is more accurate and reliable than other methods that have ever been introduced.

Keywords:
   Hybrid Power System, Renewable Energy Sources, WTGs, linear Regression, Least Square Approximation.


References:

1.       D. J. King Warsono and C. S. Özveren. "Economic Load Dispatch for A Power System With Renewable Energy Using Direct Search Method." IEEE 42nd International Engineering Conference , 2007, pp. 1228 – 1233.
2.       R. C. Bansal,Ahmed F. Zobaa, and R. K. Saket. "Some Issues Related to Power Generation Using Wind Energy Conversion Systems: An Overview." International Journal of Emerging Electric Power Systems, 2005.

3.       S. A. Akdag and O.G¨uler, “Comparison of wind turbine power curve models,” presented at the Int. Renewable Energy Congress, Sousse, Tunisia, 2010.

4.       S. B. Bogdan and Z. M., Salameh, “Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system,” IEEE Transactions on Energy Conv. 11(2), 1996, pp.367-375.

5.       Aynur Ucar, Figen Balo ”Investigation of wind characteristics and assessment of wind-generation potentiality in Uludag˘-Bursa, Turkey,” Applied Energy, 86, 2009, pp. 333-339.

6.       B. Dangar Pravin, Santosh H Kaware, P.K.Katti,“Site Matching Of Offshore Wind Turbines - A Case Study,” World Renewable Energy Congress, 8-13 May 2011, Sweden.

7.       S. Hu, and J. Cheng  “Performance evaluation of pairing between sites and wind turbines”, Renewable Energy 32 (11), 2007, pp. 1934-1947.

8.       G.M. Joselin Herbert, S. Iniyan, Ranko Goic “Performance, reliability and failure analysis of wind farm in a developing Country,” Renewable Energy, 35 (12), 2010, pp.  2739-2751.

9.       Gregor Giebel, “The State-Of-The-Art in Short-Term Prediction of Wind Power A Literature Overview,” RisøNationalLaboratory, 2003.

10.     Mukund R. Patel, Wind and Solar Power Systems. Florida: CRC Press LLC, 1999.

11.     P. R. Ebert and J. Zimmermann. "Successful High Wind Penetration into A Medium Sized Diesel Grid Without Energy Storage Using Variable Speed Wind Turbine Technology." European Wind Energy Conference. Franc, 1999, pp. 903-906.

12.     Joe D. Hoffman, Numerical Methods for Engineers and Scientists, 2th Edition, McGraw-Hill, New York, 1992.


97-101

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

22.

Authors:

Abdulqadiri Bello Abdulqadiri, Elwan Abubakar Ahmed

Paper Title:

Comparative Techno-Economic Analysis of Hybrid PV/Diesel and Hybrid Wind/Diesel Energy Generation for Commercial Farm Land in Nigeria

Abstract:    This paper describes a commercial farmland application in Nigeria. The objective was to demonstrate the technical, economic and institutional viability of renewable energy (Hybrid system) for commercial farmland as well as to allow local partners to gain experience with hybrid/renewable technology, resource assessment, system sitting and operation. A commercial farmland of 30Km2 (5kmx6km) is considered with a peak energy demand of 90kW and base demand of 40kW. It consists of wind, photovoltaic, and conventional generators. It is usually associated with a single generator source, and uses conventional generators to complement shortfall in supply. In this paper Homer software was use to perform techno economic and feasibility analysis for the system and result shows that wind/dieseal hybrid is more cheaper than the PV/dieseal.

Keywords:
   Hybrid System, Homer Sofyware, PV.


References:

1.       G.M. Ngala, et. al.  "Viability of wind energy as a power generation source in Maiduguri, Borno state, Nigeria Science Direct Renewable energy vol.13, issue 32, pp 2242 – 2246, 2007
2.       L.O. Adekoya & A. A. Adewale.  "Wind Energy Potential of  Nigeria Renewable energy vol.2, issue 1, pp 35-39, 1992.

3.       I.M. Bugaje, " Remote area power supply in Nigeria: the prospects of solar energy ScienceDirect Renewable energy vol.18,pp 491 – 500,1999.

4.       T. Tudorache, & A. Morega, " Optimum Design of Wind/ PV/Diesel/ Batteries  Hybrid Systems 2ND INTERNATIONAL CONFERENCE ON MODERN POWER SYSTEMS MPS 2008, 12-14 NOVEMBER 2008, CLUJ-NAPOCA, ROMANIA.

5.       United State (US) National Renewable Energy Laboratory’s  (NREL) Homer Software. See also, http://analysis.nrel.gov/homer.

6.       E.I. Barring Gould, A Village Microgrid: The Chile Project, 1997.

7.       CIA (2009), The 2008 World Factbook – Nigeria, Central Intelligence Agency (CIA),   United States of America;

8.       http://www.cia.gov/library/publications.

9.       PFAN (2008)  Report on Available Land for Agricultural purposes Practising Farmers Association of Nigeria

10.     www.energybay.org/sanyo-panel-hip-209ba19-200w

11.     National Aerounetics and Space administration (NASA) 


102-106

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

23.

Authors:

Fayazuddin Ahmed Syed, B. Dean Kumar, Y. Chandrasekhar, B.L.P. Swami

Paper Title:

Comparative Analysis of Flat Plate Multistoried Frames With and Without Shear Walls under Wind Loads

Abstract:   Flat plate is the term used for a slab system without any column flares or drop panels. Although column patterns are usually on a rectangular grid, flat plates can be used with irregularly spaced column layouts. In flat plate loads directly to supporting columns, which is different  from other two way systems by the lack of beams, column capitals, and drop panels. In tall multistoried structures the flat plate floor system has week resistance to lateral loads like wind, hence special features like shear walls, structural Walls are to be provided if  they are to be used in High rise constructions. In the present investigation numerical studies for 20,40,60,80 storied for frames with normal conventional beam supported slab system, flat plate floor system, flat plate floor system with Shear walls has been conducted. A Comparison the Critical Column Axial Forces, Column moments, Lateral Drift (in mm) due to static and wind loads on the structures located at Hyderabad at a basic wind speed of 44 m/s has been observed during alalysis.

Keywords:
   Flat Plates; Shear walls; Wind


References:

1.       Husam Omar, Glenn Morris; Analysis of laterally loaded flat-plate structures, Canadian Journal of structural engineering, Vol.18, No.1, 1991, pp.109-117.
2.       H.S.Kim, D.G.Lee , Efficient Analysis of Flat Plate Structures subjected to Lateral Loads , Science Direct, Engineering Structures Journal, Vol.27, Issue.2, January 2005, pp 251-263.

3.       IS: 875(Part 3)-1987, “Code of Practise for Design Loads (Other than earthquakes)  for Buildings  and Structures”, Part 3 Wind Loads, Second Revision, Bureau of Indian Standards, New Delhi, 1989.

4.       L.G. Jaeger, A.A. Mufti, J.C. Mamet, The structural analysis of tall buildings having irregularly positioned shear walls, Journal of Building Science, Vol.8, pp.11-22. Pergamon Press 1973

5.       Mark Fintel (Ed.), Handbook of Civil Engineering, Mark Fintel, Van Nostrand Reinhold,  NewYork, 1974.

6.       Mehmet Emin Kara and Sinan Altin, Strengthening of  RC non ductile frames with RC  Infills  : An Experimental Study, Science Direct, Cement and Composite journal, Vol.34, Issue.7, August 2008, pp 612-621.

7.       P.C.Varghese, “Advanced Reinforced Concrete Design (2009) “, PHI Publications Pvt.Ltd.

8.       S.Unnikrishna Pillai & Devdas Menon, “Reinforced Concrete Design”, Tata Mc Graw Hill       Publications.

9.       T. Stathopoulos, Y.S. Zhou; Numerical evaluation  of wind pressures on flat roofs, Science Direct, Building & environment journal, Vol.30, Iss.2, 1995, pp.267-276.

10.     Yasushi Uematsu, Motohiko Yamada; Design wind loads for structural frames of flat long- Span roofs; Science direct, Journal of Wind engineering, Vol.66, Iss.2, 1997, pp.155-168. 1


107-110

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

24.

Authors:

R.Anand, G.Ashok Kumar

Paper Title:

A Multilevel Inverter for Grid Connected Photovoltaic System by employing PID Controller

Abstract:    This paper presents a single phase five level photovoltaic (PV) inverter topology for grid connected PV systems with a novel Pulse Width Modulated (PWM) control scheme. Two reference signals identical to each other with an offset equivalent to the amplitude of the triangular carrier signal were used to generate PWM signals for the switches. A digital Proportional-Integral- Derivative (PID) current control algorithm is implemented in DSP TMS320F2812 to keep the current injected into the grid sinusoidal and to have high dynamic performance with rapidly changing atmospheric conditions. The inverter offers much less total harmonic distortion and can operate at near-unity power factor. The proposed system is verified through simulation and is implemented in a prototype, and the experimental results are compared with that with the conventional single phase three level grid connected PWM inverter.

Keywords:
   Grid connected PV system, Single phase five level inverter, MPPT system and Proportional-Integral-Derivative (PID) Controller.


References:

1.        J. M. Carrasco, L. G. Franquelo, J. T. Bialasiewicz,E.Galvan,R.C.PortilloGuisado, M. A. M. Prats, J. I. Leon, and N.Moreno-Alfonso, “Power-electronic systems for the grid integration of renewable energy sources: A survey,” IEEE Trans. Ind. Electron., vol. 53, no. 4, pp. 1002– 1016, Aug. 2006.
2.        V. G. Agelidis, D. M. Baker, W. B. Lawrance, and C. V. Nayar, “A multilevel PWM inverter topology for photovoltaic applications,” in Proc. IEEE ISIE, Guimarães, Portugal, 1997, pp. 589–594.

3.        S. Kouro, J. Rebolledo, and J. Rodriguez, “Reduced switching-frequency modulation algorithm for high-power multilevel inverters,” IEEE Trans. Ind. Electron., vol. 54, no. 5, pp. 2894–2901, Oct. 2007.

4.        S. J. Park, F. S. Kang, M. H. Lee, and C. U. Kim, “A new single-phase fivelevel PWM inverter employing a deadbeat control scheme,” IEEE Trans. Power Electron., vol. 18, no. 18, pp. 831–843, May 2003.

5.        L. M. Tolbert and T. G. Habetler, “Novel multilevel inverter carrier-based PWM method,” IEEE Trans. Ind. Appl., vol. 35, no. 5, pp. 1098–1107,Sep./Oct. 1999.


111-113

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

25.

Authors:

V. V. Diwan, G. N. Munishwar

Paper Title:

Water Recycling and Reuse by Using Wetland

Abstract:    Scarcity of water is a challenge worldwide because of growing population and Industrialization. Billions of people have insufficient access to safe drinking water.  Ground water levels are falling and all type of water bodies like river, lake and oceans are getting polluted. Many issues resulting in water scarcity could be avoided with better water management. A better option is reuse and recycles the wastewater for secondary purposes like toilet flushing, gardening, lawn and irrigation. Wastewater has high Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) and contains Total Suspended Solid (TSS), Nitrogen (N), Phosphorous (P), alkaline in nature. Conventional wastewater treatment goes through primary, secondary and tertiary treatment which is expensive to build, operate and maintain. Wastewater should be treated & reused such that treatment should be economical, natural and not affecting the environment. The best option is to provide onsite wastewater treatment by using geology of wetland for clean & hygienic villages. Wetlands are parts of earth’s surface between terrestrial and aquatic system.   Wetlands are generally shallow in depth which includes water, soil and vegetation.  There are two types of Wetlands like Natural and Constructed wetland. Selection of location of natural wetlands is dependent on various geological properties. In natural wetland, control on process is difficult but in constructed wetland, we can control the process of treatment. Constructed Wetland is an artificial wastewater treatment, consisting of shallow ponds (<1 meter depth). Water Hyacinth (Eichronia crassipes) is available locally It is large, bulbous floating plants with extensive root system, perennial aquatic plant with rounded, upright, shiny green leaves and spikes of lavender flower.  It is good in nutrient removal from wastewater through the harvesting, prevents the growth of algae and maintaining pH value   . The root zones of plants develop into a diverse ecology which includes bacteria, fungi, predators and filter feeders for creating aerobic conditions. Constructed wetlands provide habitat for wildlife and helps to improve aesthetic value.

Keywords:
   Wastewater has high Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD)


References:

1.        Allen, G.H. and Gearhart, R.A.(eds). (1988). “Proceedings of a Conference on wetlands    for Wastewater Treatment and Resource Enhancement.”  Humbolt State University, Arcata, CA.
2.        Cornwell, D.A., et.al, “Nutrient removal by water hyacinth”. J. water Pollut. Control Fed. 49, 57(1977)
3.        D’Amato,V.A.,bHixson, M. and Hong, S.N.  (1998). “Environmental protection through Innovative wastewater and sludge treatment strategies in Florida.”  Proceedings of the 71st Annual Water Environment Federation Conference.
4.        Gearheart, R.A.(1993).Use of Constructed Wetlands to Treat Domestic Wastewater, City of Arcata, California p.142-162.

5.        Heather Stovall Natural Alternatives to Conventional Wastewater Treatment June (2007)

6.        House, C.H., Bergmann, B.A., Stomp, A.M. and Frederick, D.J. 1999. “Combining Constructed Wetlands and Aquatic and Soil Filters for Reclamation and Reuse of Water.”

7.        Metcalf and Eddy (2003),” Wastewater Engineering: Treatment, Disposal, Reuse.”   McGraw-Hill Book Co, New York, N.Y.

8.        Renee Lorion,” Constructed Wetlands: Passive systems for wastewater treatment” Technology satus Report prepared for the USEPA Technology Innovation office (Aug 2001)            

9.        Rogers, H.S. and D.E. Davis. Nutrient removal by water hyacinth.  Weed Sci  20:423-428(1972)

10.     Shuh-Ren Jing,* Ying-Feng Lin, Tze-Wen Wang, and Der-Yuan Lee Microcosm Wetlands for Wastewater Treatment with Different Hydraulic Loading Rates and Macrophytes.  Wetlands and Aquatic Processes.

11.     “Standard Methods for the Examination of water and wastewater.” 15th Ed. American Public Health Associ., Washington D.C.(1980)

12.     T.A.DeBusk, K.R.Reddy, T.D.Hayes, B.R.Schwegler, Jr.” (1989) Performance of pilot-scale water hyacinth-based secondary treatment system.                        

13.     U.S.EPA. (2000).“Draft EPA Guidelines for Management of Onsite / Decentralized Wastewater Systems.”

14.     U.S. Environmental Protection Agency, Office of Wetlands, Oceans, and Watersheds.  “Constructed Wetlands for Wastewater Treatment and Wildlife Habitat.” (15 January, 2001)

15.     USEPA Office of Emergency and Research Laboratory.(2000) Constructed Wetlands Treatment of Municipal Wastewaters. EPA/625/R-99/010.

16.     USEPA Office of Wetlands, Oceans and Watersheds.(2000).Guiding Principles for Constructed Wetlands: Providing for Water Quality and Wildlife Habitat.EPA/843/B-00/003.

17.     USEPA Office of Water.(1993). Constructed Wetlands for Wastewater Treatment and Wildlife Habitat: 17 Case Studies.EPA/832/R-93/005.

18.     Wilson,A., Uncapher,J.L., McMANIGAL,L., Lovins,L.H., Cureton,M.,and Browning,W.D.(1998). Green Development: Integrating Ecology and Real Estate. Rocky MOUNTAIN Institute. New York: John Wiley & Sons, Inc.


114-117

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

26.

Authors:

Nagendra Sah

Paper Title:

Optimization of Parameters for Minimum Path Loss in Underground Tunnels using CSP

Abstract:    Communication in underground tunnels is one of the most important and challenging areas for engineering fraternity with multiplicity of constraints. Various factors such as frequency, tunnel size, cross-section shape and curvature, material used for construction, antenna position and polarization, all influence the path loss. With the availability of large number of factors which influences the path loss, the task of finding the optimal solution becomes complex. Constraint Satisfaction Programming has the potential of tackling wide range of search problems easily. The task of optimizing the path loss in tunnels can be modeled in CSP as that of searching the optimal set of parameters affecting the path loss.

Keywords:   CSP; Path Loss; Propagation Model; Wireless Communication.

References:

1.        Stuart Bain, John Thorton, Abdul Sattar, “Evolving Algorithm for Constraint Satisfaction”, IEEE, pp 265-272, 2004.
2.        Tope r. Karem, h. Anthony Chan, “A Low Cost Deign of Next Generation SONET/SDH Network with Multiple Constraints”, IEEE, National Research Foundation, 2007.

3.        Edward Tsang, “Foundation Of Constraint Satisfaction”, Department Of Computer Science, University Of Essex Cochester, Essex,UK.

4.        Thomas Klemenschits , Ernst Bonek. “Radio Coverage of Road Tunnels at 900 and 1800 MHz by Discrete Antennas”. PIMRC 1994.

5.        Y. P. Zhang, Y. Hwang, "Theory of the Propagation of Electromagnetic Waves in a Railway Tunnel". Antennas and Propagation Society International Symposium, vol.2, pp. 1230 – 1233, 1996. 

6.        Y. P. Zhang, Y. Hwang. “Enhancement of Rectangular Tunnel Waveguide Model”. Asia Pacific Microwave Conference-1997.

7.        J.S. Lamminmaki, J.J.A.Lempiainen. ”Radio Propagation  Characteristics in Curved Tunnels”.IEEE proceedings on Microwave and Antenna Propagation, vol. 145, no. 4, August 1998.

8.        Zhang, Yue Ping. “Novel Model for Propagation Loss prediction in Tunnels”. IEEE Transactions on Vehicular Technology. 52(5), 1308-1314, 2003

9.        Samir F. Mahmoud. “Wireless Transmission in Tunnels”. 2004

10.     A. V. Tsyunyak, D. N. Likontsev. “The model of calculating of electromagnetic field level distribution in piecewise tunnel". 4th IEEE/IFIP International Conference on Internet, pp.1-4, 2008

11.     Jia Minghua, Zheng Guoxin, Ji Wenli. "A New Model for Predicting the Characteristic of RF Propagation in Rectangular Tunnel".  Microwave Conference, China-Japan Joint  pp.  268-270, 2008.

12.     CHENG Lingfei and ZHANG Peiling. "Influence of Dimension Change on Radio Wave Propagation in Rectangular Tunnels". 5th International Conference on Wireless Communications, Networking and Mobile Computing, , pp. 1-3, 200

13.     A. Hrovat G. Kandus T. Javornik. "Four-slope channel model for path loss prediction in tunnels at 400 MHz".  IET Microwave Antennas Propagation, Volume: 4, no. 5, pp. 571-582, 2010

14.     Hrovat G. Kandus T. Javornik. “Impact of Tunnel Geometry and its Dimensions on Path Loss at UHF Frequency Band“. 2011

15.     J. Alonso, B. Izquierdo, J. Romeu. “Break-point analysis and modeling in subway tunnels”.2010

16.     Zhi Sun and Ian F. Akyildiz. "Channel Modeling of Wireless Networks in Tunnels". Global Telecommunications Conference, IEEE GLOBECOM, pp. 1-5, 2008.

17.     Zhi Sun and Ian F. Akyildiz. . "Channel Modeling of Wireless Networks in Underground Mines and Road Tunnels". IEEE Transactions On Communications, Vol. 58, No. 6, June 2010

18.     Zhi Sun,and Ian F. Akyildiz. "A Mode-Based Approach for Channel Modeling in Underground Tunnels under the Impact of Vehicular Traffic Flow". IEEE Transactions on Wireless Communication, vol. 10, no. 10, pp. 3222 – 3231, Oct 2011

19.     Emilie Masson. “Radio Wave Propagation in Arched Cross Section Tunnels – Simulations and Measurements”. Journal Of Communications, Vol. 4, No. 4, May 2009.

20.     J ose-Maria Molina-Garcia-Pardo, Martine Lienard,d Pierre Degauque.  “Wireless Communication in Tunnels”. 2010.


118-121

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

27.

Authors:

S. Z. Moussavi, P. Amiri, S. A. Hoseini

Paper Title:

Controller Design for Synchronizing Distributed Generation Systems with the Phase Locked Loop (PLL)

Abstract:    In this paper a fuel cell power plant design using phase locked loop method for paralleling a fuel cell with the global network is described. Despite the fact that synchronous systems for scattering generation sources like generators have been used in Iran’s plants, but there has been made fewer efforts in the case of plants based on fuel cell. In this paper an approach is presented for synchronization based on PLL that can reduce the response time to less than 2 seconds and time difference becomes zero in less than 3 seconds. Using the relay auto tuning algorithm in the closed loop system, the frequency fluctuations become less than 0.05% at the output. As in this approach, tuning is based on the DC voltage level, the induction property that makes the PID controller be unstable is reduced and we will have a very stable output wave. This is the main advantage of this controller. Presented control structure is made up of three loops, whichwe will reached frequency to reference frequency by use of first loop and in the next loop we do it’s phasecontrol whit take an integration of frequency, and in the frequencies difference less than 1 Hz. Presented control structure is made up of three loops. Using first loop, the frequency is reached near the reference value and in the next loop the phase is controlled  by integration of the frequency, and in the frequency differences less than 1 Hz, the third loops does control frequency in independent way from the phase. Another advantage of this method is that the circuit remains in phase locked state when the phase has been synchronized, and there is no need to consider the time of connection to the network, and finally the output fluctuation is brought into zero. In this paper, it is also built an empirical example of digital synchronizer which is efficient in synchronizing distributed generation systems with the phase locked loop and will be described in detail in continuation.

Keywords:
   Phase locked loop, synchronizer, parallel and fuel cell.


References:

1.        A M. BOBROWSKA-RAFAL, “Grid synchronization and symmetrical components extraction with PLL algorithm for grid connected power electronic converters,” Bulletin of the polish ac ademy of sciences technical science,,vol 59, no. 4, 2011, vol. 1, pp. 20-24, 2011.
2.        Advanced Power Electronic Interfaces for Distributed Energy Systems  Part 1: Systems and Topologies  W. Kramer, S. Chakraborty, B. Kroposki, and H. Thomas Technical Report NREL/TP-581-42672 March 2008

3.        Dr. Dushan Boroyevich,Chairman, “control of power conversion systems  for the intentional, islanding of Distributed  Generation units “, September 26, 2005.

4.        Tuning of PID controllers- Chapter 10

5.        J. J. Rodriguez-Andina, J. Farina, A. A. Nogueiras-Melendez, and A.Lago, "A digital integrated circuit for switching of parallel connected converters,". in Proc. ISIE '98. IEEE Int. Symposium on Industrial Electronics, vol. 2, pp. 363-366, 7-10 Jul. 1998.

6.        E.Muljadi, C. Wang, M.H. Nehrir, “Parallel Operation of Wind Turbine, Fuel Cell, and Diesel Generation Sources”, IEEE Power Engin`eering Society, Denver, Colorado, 2004.

7.        New approach in the design and manufacture of electronic synchronizer based on phase locking for fast parallel diesel generators, Dr. Prnyany and Dr. Bagheri - Iranian Journal of Electrical Engineering and Computer Engineering, Fall and Winter 2003.

8.        Myrrashd Fatima, Muhammad tribe Hsynlv, and Seyyed Mohammad Taghi Bthayy, "Survey Design and Microprocessor synchronizer in power plants," Tenth International Conference, May 2001

9.        Ghasemi c., Adib b., "Kinetic analysis of electrochemical reactions in fuel cell gas production," Iranian Conference on Electrochemistry, 2010.

10.     Ghasemi c., Adib b., A book entitled Fuel Cell, Third Edition, Center for Academic Publications, 1390.


122-128

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

28.

Authors:

S.B.Chikalthankar,V.M.Nandedkar, V.G.Kokre

Paper Title:

Effect of Variable Load, Speed and Acceleration of Crank Shaft on Depth of Wear of Linining Thickness of Bush Bearing

Abstract:    Hydrodynamic Cu-Pb-Sn journal bearings are considered to be a vital component of all the rotating machinery, because of its simplicity, low cost and efficiency. It is used to support radial loads under high speed operating conditions. During this transient period, direct contact between the journal and bearing induces high friction   and bushes become progressively worn-out, thus inducting certain disabilities. The bushes are provided with a lining thickness of Cu-Pb-Sn material which is found in the range of 450 to 600 micron. The aim of present experimental work is to determine effect of variable load, speed and acceleration on depth of wear of lining thickness (dw) of Cu-Pb-Sn material bush, which is widely used as bush material in automobile engine. Taguchi L9 (33) orthogonal array was used for the experimental plan. . The mathematical model for input parameters and depth of wear obtained from regression analysis to predict values of depth of wear. S/N ratio and ANOVA analysis were used to obtained significant parameters influencing depth of wear. Test rig for testing dynamic behavior of bush bearing indigenously designed and developed by us.

Keywords:
   Crank shaft bush, Lining thickness, Depth of wear.


References:

1.        Dufrane KF, Kannel JW and McCloskey TH (1983), "Wear of steam turbine journal bearings at low operating     speeds". J. Lubric. Technol. 105, pp.313-317.
2.        Bouyer J, Fillon M and Pierre-Danos I (2006), "Behavior of a two lobe worn hydrodynamic journal bearing". 5th EDF & LMS Poitiers Workshop on "Bearing Behavior under Unusual Operating Condition", pp.11-16.

3.        Tachi Y, Ishihara S, Tamura K, Goshima T and Mc Evily AJ (2005), "Predicting sliding wear behavior of a tin-based white metal under varying pressure and speed conditions". J. Engg. Tribol. 219, pp.451-457

4.        C.Vidal,V.Infante,P.Pecas, P.Vilaca, "Application of Ttaguchi methodinthe optimizationof friction stir welding parameters of anaeronotic aluminium alloy", Departmento de engenharia Mecanica, Institutosuperior tecnico,Av.Rovisco Paris,1096-001 Lisboa,Portugal.

5.        Farzin H.Montazersadgh and Ali Fatima, "Dynamic load and stress analysis of crankshaft", 2007-01-0258, SAE International.

6.        J. Bouyer, M. Fillon, "Thermodynamic analysis of a worn plain journal bearing", Tribology international 37(2004),pp. 129-136.

7.        S.B.chikalthankar and V.B. Nandedkar (2011), "Predicting effect of pressure,shaft velocity and surface finish on depth of wear of lining thickness of engine bushing by experimentation",IJST,pp.432-435.

8.        Duckworth WE and Forrester PB (1957) wear of lubricated journal bearings, Proc. of the Institution. Mech. Engrs. Conf. on Lubrication & Wear. London. pp: 714-719.


129-132

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

29.

Authors:

Kamaljit Singh Arora, Randhir Singh, Parveen Lehana

Paper Title:

Comparison of the Vocal Calls of Alexandrine and African Grey Species of Parrots using LPC Based Analysis Approach

Abstract:    Speech analysis is one of the interesting analytical approaches in the areas of digital signal processing and it has been explored for various research applications including modeling of speech signals, phonetics research, understanding the speech production mechanism, speech coding and speech recognition processes, etc. Birds are completely dependent on their vocal signals in order to fulfill their survival requirements like nesting, food, protection from any threat or danger and other mutual communicating activities, etc. Birds communicate with their vocal signals because they have a greater range of sounds than humans. Moreover, bird’s calls contain a lot of useful information, but it cannot be easily recognized by human ear as time and frequency resolution of our auditory system is limited. The basic mechanism of sound production in birds is almost similar to that of humans in many contexts. LPC model has been used as an efficient speech model for the analysis of human voice. So, it may be used for the analysis of bird’s vocal calls. This paper examines an investigating method for exploring the application of phonetics research on parrot’s vocal calls. LPC based analysis approach has been applied on the vocal calls of Alexandrine Parakeet (Psittacula Eupatria) and African Grey (Psittacus Erithacus) species of parrots and investigations have been successfully carried out for comparing the number of phonemes in the calls of both the species using line spectral frequencies (LSF) vectors and Euclidean distances. Line spectral frequencies can be used to encode speech spectral information more efficiently than other transmission parameters. A classical method, known as vector quantization has also used for performing efficient speech analysis.

Keywords:
   Speech analysis, Vocal calls, Linear predictive coding (LPC), Line spectral frequencies (LSF).


References:

1.       E. Kumar, “Natural Language processing” I.K International Pvt. Ltd., New Delhi, ch. 1, 2011, pp.21-22.
2.       C.R Durai, “Digital speech processing” Laxmi Publications, ch.2, 2005, pp. 29-31.

3.       J.F Ma and H.Q Wang, “Speech analysis and segmentation by discrete wavelet transform (DWT)”, Proceedings of the third international conference on Wavelet analysis and its applications (WAA), vol. 1,2003, pp. 63-66.

4.       A. Harma, "Automatic identification of bird species based on sinusoidal modeling of syllables," in Proc. ICASSP, Hong Kong, 2003.

5.       http://www.ias.ac.in/resonance/June2003/pdf/June2003p44-55.pdf

6.       P. Somervuo, A. Harma and S. Fagerlund, “Parametric representations of bird sounds for automatic species recognition,” IEEE Trans. Speech and Audio Processing, vol. 14, no. 6, 2006, pp. 2252 - 2263.

7.       S. Fagerlund, “Acoustics and physical models of bird sounds, '' in  Seminar in acoustics, HUT, Laboratory of Acoustics and Audio Signal Processing, (Espoo), April 2004.

8.       N. Moustaki, “Bird Brains: Parrot intelligence,” in Parrot for Dummies, Wiley publishing, Hoboken, 2005, ch. 15.

9.       P. Marler, and H. Slabbekoorn, “How birds sing and why it matters,” in Nature’s music: the science of birdsong, vol.1, Elsevier Academic Press, California, 2004, ch.9.

10.     I.M Pepperberg, “Vocal learning in Grey parrots (Psittacus Erithacus): Effect of social interaction reference and context” in Auk, USA, vol. 111, 1994, pp.300-313.

11.     P. Skripal, “Analysis of acoustic communication in parrots” Diploma Thesis, Dept. of computer science and Engineering, Czech Technical University.

12.     http://parrots.ie/vb/content.php?318-The-avian-digestive-tract.

13.     V.V Tynes, “Behaviour of exotic pets” 2010, ch. 1, Blackwel publishing ltd., U.S.A, pp. 1-10.

14.     J. Murray, “Parrots” United States, ABDO publishing company, 2002, pp. 4-9.

15.     D. M. Warren, “Small animal care and management” 2002, ch. 19,    ‘birds’pp. 305-322.

16.     http://www.allaboutbirds.com.au/index.php

17.     http://www.mathworks.in/help/dsp/ug/quantizers.html

18.     F.B.M.D Waal and P.L Tyack, “Vocal communication in wild parrots,” in Animal social complexity, Harvard University Press, ch.11, 2003, pp.293-303.

19.     J. Bradbury, and T.Wright, “Different Calls  of    Parrots,” 2002.    

20.     http://www.acguanacaste.ac.cr/loras_acg/parrots.home.html

21.     B.M Bly and D. E. Rumelhart, “ Cognitive science” academic press,  USA, 2nd edition, 1999, ch. 6, pp. 292-294.

22.     D.O Shaughnessy, “Speech Analysis,” in Speech Communications, 2nd edition, Hyderabad, Universities Press Private Limited, ch.6, 2001, pp.192-209.

23.     V.B Kura, “Novel pitch detection algorithm with application to speech coding,” M.S.Thesis, Dept. of Elect. Engineering, University of New Orleans, 2003.

24.     R. Gupta, A.K Mehta and V. Tiwari, "Vocoder (LPC) Analysis by Variation of Input Parameters and Signals" ISCA Journal of Engineering Sciences, vol. 1, July 2012, pp. 57-61.

25.     http://afshin.sepehri.info/projects/ADSP/LevinsonDurbin/levinson_durbin.htm

26.     http://www.data-compression.com/vq.html

27.     M A. Al-Maine, M. I. Alkaanhal, and Mansour M.al-ghamdi, "Automatic Speech Segmentation Using the Arabic Phonetic Database" Proceedings of the 10th WSEAS International Conference on automation and information, 2009, pp. 76-79.

28.     Chassing, R., “Digital Signal Processing and Applications with the C6713 and C6416 DSK” John Wiley and sons, 2004.

29.     Kuldip K.paliwal and Bishnu S. Atal, “Efficient vector quantization of LPC parameters at 24 Bits/frame” IEEE transactions of speech and audio processing, vol. 1, no. 1, January, 1993.

30.     P. Kabal and R. P Ramchandran, “The Computation of Line Spectral Frequencies Using Chebyshev Polynomials”, IEEE transactions on Acoustics, speech andsignal processing, Vol. ASSP-34, No. 6, December, 1986.

31.     H.B Kekre and T. K. Sarode, “Vector quantized codebook optimization using k- means” International journal of computer science and engineering, vol. 1, no. 3, 2009, pp. 283-290.

32.     P. R Namdeo and A.K Mishra, "Speech analysis under stress" World Journal of Science and Technology, Vol. 2, 2012, pp.174-177.


133-139

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

30.

Authors:

P.Ravi Kumar, V.Venkata Rao., M.Srinivasa Rao.

Paper Title:

BER Analysis of Digital Broadcasting System Through AWGN and Rayleigh Channels

Abstract:    Radio broadcasting technology in this era of compact disc is expected to deliver high quality audio programmes in mobile environment. The Eureka-147 Digital Audio Broadcasting (DAB) system with coded OFDM technology accomplish this demand by making receivers highly robust against effects of multipath fading environment. In this paper, we have analysed the performance of DAB system conforming to the parameters established by the ETSI (EN 300 401) using time and frequency interleaving, concatenated Bose-Chaudhuri- Hocquenghem coding and convolutional coding method in different transmission channels. The results show that concatenated channel coding improves the system performance compared to convolutional coding.

Keywords:
   DAB, OFDM, Multipath effect, concatenated coding.


References:

1.        ETSI, "Radio Broadcasting Systems; Digital Audio Broadcasting (DAB) to mobile, portable and fixed receivers," EN 300 401, V1.3.3, (2001-05), April 2001. Wolfgang Hoeg& Thomas Lauterbach, Digital Audio Broadcasting-
2.        Principles and Applications.: John Wiley & Sons, Ltd., 2001

3.        F. Kozamernik, "Digital Audio Broadcasting - radio now and for the future," EBU Technical Review, no. 265 Autumn 1995

4.        Petro Pesha Ernest, "DAB implementation in SDR," University of Stellenbosch, Master?s thesis December 2005

5.        Lukas M. Gaetzi and Malcolm O. J. Hawksford, "Performance prediction of DAB modulation and transmission using Matlabmodeling," in IEEE International Symposium on Consumer Electronics - Proceedings, pp. 272-277, 2004.

6.        Hector Uhalte Bilbao, "Dab Transmission System Simulation," Linkoping Institute of Technology, Master's thesis August 2004.

7.        A. J Bower, "DIGITAL RADIO--The Eureka 147 DAB System," Electronic Engineering BBC, April 1998.

8.        ETSI TR 101 496-3, "Digital Audio Broadcasting (DAB); Guidelines and rules for implementation and operation; Part 3: Broadcast network," V1.1.2 (2001-05), 2001.

9.        H. Harada &Ramjee Prasad, Simulation and Software Radio for mobile communications.: Artech House, 2003.

10.     R P Singh and S D Sapre, Communication Systems, 2nd ed.: Tata McGraw-Hill Education Pvt. Ltd., 2007.

11.     John. G. Proakis, "Digital Communications", 3rd edition, McGraw- Hill, 1995

12.     MATHWORKS.[Online].

13.     Kai-Sheng Yang, Chao-Tang Yu Yu-Pin Chang, "Improved Channel  Codec Implementation and Performance Analysis of OFDM based DAB Systems," in IWCMC 2006 - Proceedings of the 2006 International Wireless Communications and Mobile Computing Conference, pp. 997-100, 2006.

14.     HamedHolisaz, S. Mehdi Fakhraie and NarimanMoezzi-Madani, "Digital Audio Broadcasting System Modeling and HardwareImplementation," in IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, pp. 1814-1817, 2006.


140-144

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

31.

Authors:

Ashok Kumar Rajput

Paper Title:

Visualization Base Simulation of D.C Network Theorems in Basic Electrical Engineering with Lab VIEW

Abstract:   In an  Electrical Engineering course work Practical plays a important role in Engineering Education to enhance the technical knowledge deeply. Now day by day students have different modes to perform the Practical in the Lab session. Software based Basic Electrical Engineering Practical  are less costly than hardware base practical and also  have a provision to change the circuit parameters as we need compared to hardware based practical, which results in better understanding of students in learning concepts of Basic Electrical Engineering course. Today Software based different Laboratory experiments can performed by the student with a single place which impacts on flexible learning of students and under-standing abilities. This motivation deals with Simulation of  Basic Electrical Engineering Laboratory experiments which are part of Lab session at Under Graduate Electrical Engineering students using Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software. Lab-VIEW uses graphical language which allows a natural, error free result & user-friendly interaction

Keywords:
   Basic Electrical Engineering, Laboratory, LabVIEW, Simulation, Software.


References:

1.        R. A. Jabbar, Azah Mohamed, M. A. Hannan, Muhammad Junaid, M. Mansoor, A.Latif and H. Noor, "Simulation of Electrical Machines Laboratory Using LabVIEW", International Conference on Computer, Electrical, and Systems Science, and Engineering (ICCESSE 2010), World Academy of Science Engineering and Technology (WASET), ISSN: 2070-3740 & ISSN: 2070-3724, Cape Town, South Africa, January 29-31, 2010.
2.        Rana A. Jabbar, Muhammad Junaid, M. Ali Masood, M. Mansoor and Adil Iftkhar, "LabVIEW based Induction Machines Laboratory for Engineering Education", The 7th WSEAS International Conference on Engineering Education (Education '10), ISBN: 978-960-474-202-8, Corfu Island, Greece, July, 22-24, 2010.

3.        Stephen J. Chapman, "Electric Machinery Fundamentals", 4th Edition, McGraw-Hill, 2005, ISBN: 9780072465235, Ch. 9 DC Motors and Generators, pp. 533-632.

4.        C. Elliott, V. Vijayakumar, W. Zink and R. Hansen, "National Instruments LabVIEW: A Programming Environment for Laboratory Automation and Measurement", Journal of the Association for Laboratory Automation, Volume 12, Issue 1, February 2007.

5.        Basher, H.A. Isa, S.A., "On-Campus and Online Virtual Laboratory Experiments with LabVIEW", South east Conference, Proceedings of the IEEE, ISBN: 1-4244- 0168-2, Digital Object Identifier 10.1109/second.2006.1629372, South Carolina State Univ., Columbia, SC, March 31, 2005-April 2, 2005.

6.        Vento, J.A., "Application of LabVIEW in higher  education laboratories", Frontiers in Education Conference, Digital Object Identifier: 10.1109/FIE.1988.35023, Austin, TX, USA, July 08, 2002.

7.        Wang, J.Y.-Z., "LabVIEW in engineering laboratory courses", Frontiers in Education (FIE 2003), ISSN: 0190-5848, ISBN: 0-7803-7961-6, Digital-Object-Identifier: 10.1109/ FIE.2003. 1264710, Potomac State Coll., West Virginia University., USA, 5-8 Nov. 2003.

8.        Higa, M.L. Tawy, D.M. Lord, S.M., "An introduction to LabVIEW exercise for an electronics class", Frontiers in Education, 2002. FIE 2002. 32nd Annual, ISSN: 0190- 5848, ISBN: 0-7803-7444-4, Digital Object Identifier: 10.1109/FIE.2002.1157905, On page(s): T1D-13 - T1D- 16 vol.1, University of San Diego, 6-9 Nov. 2002.

9.        Sherry, R.A. Lord, S.M., "LabVIEW as an effective enhancement to an optoelectronics laboratory experiment", Frontiers in Education Conference, 1997. 27th Annual Conference. 'Teaching and Learning in an Era of Change'. Proceedings, ISBN: 0-7803-4086-8 Digital Object Identifier:10. 1109/FIE.1997.635998, On page(s): 897 - 900 vol.2, Pittsburgh, PA, 5-8 Nov. 1997.

10.     Nunnally, C.E. "Teaching EE circuits I lab with Labview", Frontiers in Education Conference, 1996. FIE '96. 26th Annual, ISBN: 0-7803-3348-9, INSPEC Accession Number: 5496652, Volume: 2, On page(s): 871-873 vol.2, 6-9 Nov 1996, Salt Lake City, UT, USA.

11.     M. Usama Sardar, "Synchronous Generator Simulation  Using LabVIEW", Proceedings of World Academy of Science, Engineering & Technology (WASET), ISSN 1307-6884, Volume 29, May 2008.

12.     R. Krishnan, A. Bharadwaj, and P. Materu, "Computer aided design of Electrical machine for variable speed applications, IEEE Transaction, Ind.Electron., vol. 35, no 4, Nov. 1988.


145-148

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

32.

Authors:

S. Gurulingam, A. Kalaisselvane, N. Alagumurthy

Paper Title:

Performance Improvement of Forced Draught Jet Ejector Using Constant Rate Momentum Change Method

Abstract:    A jet ejector uses a jet of primary fluid to induce a peripheral secondary flow often against back pressure. Expansion of primary jet produces a partial vacuum near the secondary flow inlet creating a rapid re-pressurization of the mixed fluids followed by a diffuser to increase the pressure at the exit.  Using the geometrical design parameters obtained by solving the governing equations, a CFD analysis is made using the FLUENT software to evaluate the optimum entrainment ratio that could be achieved for a given set of operating conditions, where the entrainment ratio (ER) is the ratio of the mass flow rate of the secondary fluid (propelled stream) to the primary fluid (motive fluid). The three main internal process forming sources of ejector irreversibility are mixing, kinetic energy losses, and normal shock.The CRMC method produces a diffuser geometry that removes thermodynamic shock process with in the diffuser at the design point-operating conditions. In order to match the ER that is achievable theoretically, an effort is made to force charge the propelled stream using a blower so that the momentum difference between the motive and the propelled fluid is minimized.  The decrease in momentum difference increases the ER and the pressure lift ratio (PDE/PS) compared to the values obtained using the conventional methods, where PDE is the exit pressure and PS is the secondary fluid pressure. It also reduces losses due to pure mixing and kinetic energy loss.Experimental results obtained using the forced draft system is found to match the results obtained from the FLUENT analysis.

Keywords:
   Ejector, Efficiency, Irreversibility, CRMC, Forced draught.


References:

1.       P.H.M.R. Cramers, A.A.C.M. Beenackers, Influence of the ejector configuration, scale and the gas density on the mass transfer characteristics of gas-liquid ejectors, Chem.Eng.J.82 (2001) 131-141
2.       Mains, W.D., and R.E. Richenberg, “Steam Jet Ejectors in Pilot and production Plants,” Chem. Eng. Process., 63, 3 (1967).

3.       Schmitt, H., Diversity of Jet Pump and Ejector Techniques, The Second Symposium on Jet Pumps & Ejectors and Gas Lift Techniques, BHRA Fluid Engineering, Bedford, UK (1975).

4.       El-Dessouky, H., H. Ettouney, I. Alatiqi, and G. Al-Nuwaibit, “Evaluation of Steam Jet Ejectors,” Chem. En. Process, 41, 6 (2002).

5.       A. Selvaraju, A. Mani., 2004, Analysis of a Vapour ejector refrigeration system with environment friendly refrigerants

6.       J.J.Henzler, Design of ejectors for single phase material systems, Ger.Chem.Engng.6 (1983) 292
7.       A. Shklyar, A. Arbel, D. Hershgal, M. Barak, M. Sokolov, “Ejector Irreversibility Characteristics” Journal of Fluids Engineering, Vol.125, 121-127
8.       Keenan, J. H., Neumann, E.P., and Lustwerk, F., 1950, “An investigation of Ejector Design by Analysis and Experiment,” ASME J. Appl. Mech., 17, pp. 299-309.

9.       I. W. Eames, The Constant momentum-gradient method for jet-pump designs, A Research Report, School of Built Environment, University of Nottingham, November 2000.

10.     SomsakWatanawanavet, CFD Optimization study of high-efficiency jet ejectors, Texas, A&M University.


149-151

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

33.

Authors:

Sanjeev Kumar Sharma, Randhir Singh, Parveen Lehana

Paper Title:

To Investigate the Effect of Pressure on the DC Resistance of the Aloe-vera (Aloe Barbadensis Miller) Leaves

Abstract:    In nature, plants interact with many environmental factors such as winds, monsoon rains, touch, and herbivore attacks, in addition to many other ruthless mechanical perturbations that can menace plant survival. As a result, over many years of evolution, plants have developed very sensitive mechanisms through which they can identify and respond to even slight stimuli such as touch. Some plants respond behaviorally to the touch stimulus within seconds, while others show morphogenetic alterations over long periods of time, ranging from days to weeks. Aloe-vera plant has been known and used for centuries for its health, beauty, medicinal, and skin care properties. The name Aloe Vera derives from the Arabic word “Alloeh” meaning “ shining bitter substance,” while “vera” in Latin means “true”. In this paper, investigations were carried out to study the effect of DC resistance of the Aloe-vera leaves. The resistance of the leaf measured shows a comparative change with the change in the apply pressure on the leaf. The resistance of the leaf tissue decreases with the corresponding increased in applies pressure between the electrodes due to increase in current path. A mechano-stimulus received at the cell wall may cause alterations in the intracellular pressure. This pressure stimulus may lead to the translocation of sub-cellular organelles, thus transducing the stimulus to a cellular alteration with the potential for downstream effects.

Keywords:
   Aloe-vera, aloe barbadensis, force sensitive resistance, DC resistance.


References:

1.       K. Creath, and G. E Schwartz. “Measuring Effects of Music, Noise, and Healing Energy Using a Seed Germination Bioassay”, the journal of alternative and complementary medicine, volume 10, number 1, 2004, pp113–122.
2.       W.  Xiujuan, W. Y Bochu, , J. Danqun, and  Chuanren, D. “Effect of sound stimulation on cell cycle of chrysanthemum”, Elsevier Colloids and Surfaces B Biointerfaces, 2003,vol 29, pp.103-107.

3.       L. A Gurovich, P.  Hermosilla, “Electric signaling in fruit trees in response to water applications and light–darkness conditions”, Journal of Plant Physiology, 2009, vol 166, pp 290-300.

4.       C. Plieth, “Temperature Sensing by Plants Calcium-Permeable Channels as Primary Sensors—A Model”, The Journal of Membrane Biology.vol172 (1999), pp121–127.

5.       S. Lautner, T. Grams, R. Matyssek, and J. Fromm, “characteristics of Electrical Signals in Poplar and Responses in Photosynthesis,” Plant Physiology, 2005 vol. 138, pp. 2200-2209,.

6.       L. A. Gurovich, P. Hermosilla, “Electric signaling in fruit trees in response to water applications and light–darkness conditions,” Journal of Plant Physiology, 2009, vol. 166, pp. 290– 300.

7.       O. Ksenzhek, S. prtrova, and M. Kolodyazhny, “Electrical properties of leaves of plant tissues”, plant physiol, 2004, vol.30, pp 61-67.

8.       F. M. Desrosiers and R.S.Bandurski “Effect of Longitudinally Applied Voltage Upon the Growth of Zea mays Seedlings”, Plant Physiol. (1988), vol 87, pp874-877.

9.       H.G. Jones, M.B. Jones, “Introduction: some terminology and common mechanisms, in: H.G. Jones, T.J. Flowers, M.B. Jones (Eds.)”, PlantsUnder Stress, Cambridge university Press, Cambridge, 1989, pp. 1–10.

10.     E.W. Chehab, E. Eich, and J. Braam “Thigmomorphogenesis a complex plant response to mechano-stimulation”, Journal of Experimental Botany, 2008 Vol. 60, , pp. 43–56.

11.     K.Trebacz, H.Dziubinska, E. Krol, “Electrical signals in long-distance communication in plants”. In: Baluska F, Mancuso S, Volkmann D,                in plants – neuronal aspects of plant life. Berlin, Heidelberg: Springer-Verlag, 2006,  pp. 277–90.

12.     J. Fromm, S. Lautner. “Electrical signals and their physiological significance in plants”. Plant Cell Environ. 2007, vol 30, pp249–57.

13.     M.A. Saeed, I. Ahmad, U.Yaqub, Akbar, M.A. Waheed, A. Saleem, and Nasir-ud-Di. “Aloe vera a plant of vital significance”, Science vision, vol.9 ,pp1-2

14.     M. Obata, “Mechanism of Anti-Inflammatory and Anti-Thermal Burn Action of Carboxypeptidase Aloe arborescence Miller, Netalensis Berger in Rats and Mice”, Phsiotherapy Research, 7, Special Issues, 1993, pp530-533.

15.     J.E. Hodge, and B.T. Hofrieter, “Determination of Reducing Sugars and Carbohydrates”, Methods of Carbohydrate Chemistry, 1962, vol1, pp380-394.
16.     I. Suzuki, H. Saito, S. Inueo, and Takahashi, “Purification and Characterisation of two Lectins from Aloe barbadensis Miller”, 1979 Jap. Biochem, vol 85, pp163-171.
17.     J.P. Brown, “A Review of the Genetic Effects of Naturally Occurring flavanoid, Anthraquinones and Related Compounds”, Mutat. Res., 1980, vol 75, pp243-277.

18.     M.C. Robson, J.P. Heggers and W.J. Hagstrom, “Myth, Magic, Witchcraft, or Fact? Aloe Vera Revisited”, Journal of Burn Cure and Rehabilitation, 1982, vol 3, pp157-163.

19.     A. Kandil and W. Gobran, “Protection of Gastric Mucosa by Aloe vera”, 1979, J. Drug   Res. (Egypt), vol11, pp191-196 .

20.     J.J. Blitz, J.W. Smith and H.R.  Gerad, “Aloe vera Gelin Peptic Ulcer Therapy: Preliminary Report”, J. Amer.Osteopathic Assc., 1963, vol 62, pp731-735 .

21.     T.A.Waller,“Comparative Studies of Aloe from Commercial Sources”,  Aloe Today Spring, 1993, 22-26.


152-156

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

34.

Authors:

Vishal Singh, Prerna Chaudhary

Paper Title:

Y2K38: The Bug

Abstract:    Digital world has been threatened by many bugs but only a few seemed to pose a great danger. The bug that got most famous was Y2K. Somehow, we got over it, then, there was Y2K10. It too was resolved and now we have Y2K38. The Y2K38 bug, if not resolved, will make sure that the predictions that were made for the Y2K bug come true this time. Y2K38 bug will affect all the systems, applications and most of the embedded systems which use signed 32 bit format for representing the internal time. As the epoch for most these systems is 1, January, 1970 and since then the number of seconds which can be represented using this signed 32 bit format is  2,147,483,647  which will be equal to the time 19, January, 2038 at  03:14:07 UTC(Coordinated Universal Time). After this moment the systems will stop working correctly. There have been some solutions for this problem but a universal solution is yet to be found. All the solutions tend to delay this problem so that we can have some more time to find a good and universal solution and so does our proposed solution.

Keywords:
   signed 32 bit integer, time_t, Y2K, Y2K38.


References:

1.        http://en.wikipedia.org/wiki/Year_2000_problem  
2.        Carrington, Damian( 4 January 2000). "Was Y2K bug a boost?" BBC News. Archived from the original on 22 April 2004. Retrieved 19 September 2009

3.        http://en.wikipedia.org/wiki/Year_2038_problem

4.        "The Open Group Base Specifications Issue 6 IEEE Std 1003.1, 2004 Edition. IEEE and The Open Group. The Open Group.2004. Retrieved 7 March 2008

5.        Diomidis Spinellis(2006). Code quality: the open source perspective. Effective software development series in Safari Books Online (illustrated ed.). Adobe Press. ISBN 0-321-16607-8.

6.        http://www.codeproject.com/Articles/25848/The-Year-2038-Bug-Y2K38-Problem-Many-of-your-appli

7.        The Case for Windowing: Techniques That Buy 60 Years"", article by Raymond B. Howard,  Year/2000 Journal, Mar/Apr 1998."

8.        http://www.ruchitsurati.net/index.php/2007/08/19/the-year-2038-bug-y2k38-problem-many-of-your-applications-will-crash/

9.        http://www.2038bug.com/demo.html

10.     http://linuxfinances.info/info/unix2038.html

11.     http://www.2038bug.com/pivotal_gmtime_r.c.html

12.     http://www.idrbt.ac.in/publications/workingpapers/Working%20 Paper % 20No.%2009.pdf

13.     http://en.wikipedia.org/wiki/Y2K38

14.     http://en.wikipedia.org/wiki/Year_2039_problem

15.     http://www.slideshare.net/ajayspi/y2-k38


157-160

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

35.

Authors:

Imranullah Khan, Tan Chon Eng, Shakeel Ahmed Kamboh

Paper Title:

Performance Analysis of Various Path Loss Models for Wireless Network in Different Environments

Abstract:    This paper aims to investigate the performance of various path loss models in different environments for determination of the signal strength with respect to various receiver antenna heights for wireless network at 2.4GHz unlicensed band. A total of seven path loss models, namely Free Space, COST-231 HATA, ECC-33, SUI, HATA, COST-231 WI, HATA and Ericsson models have been reviewed with different receiver antenna heights in urban, suburban and rural environments. The estimated results produced by Free Space model were used as reference values. All estimated results of reviewed models were compared with the reference model values.  It was found that COST-231 HATA model demonstrated highest path loss with 39% more values than reference model in urban environments. Ericson model established highest path loss values with 55% and 77% more estimated results than reference model in suburban and rural environments respectively. COST-231 WI model executed the lowest path loss amount with 12.6% more values than reference model in rural environments. SUI model established the results with 10% difference as compared to reference model at lower receiver antenna heights. It was revealed that the models results were incongruent due to incorporation of different variables and terrain classification. Therefore, a particular model cannot be recommended for the estimation of path loss at various antenna heights in all environments. However, SUI model could be preferred due to better performance in terms of less path loss as compared with the results of reference model at lower receiver antenna heights for suburban and rural environments.

Keywords:
   path loss;  free space model; cost-231 Hata model; ECC-33 model; SUI model; Hata model; cost-231 WI model; Ericsson model.


References:

1.        V.S. Abhayawardhana, I.J. Wassel, D. Crosby, M.P. Sellers, and M.G., Brown, "Comparison of empirical propagation path loss models for fixed wireless access systems". 61th IEEE Technology Conference, Stockholm. 2005.
2.        ECC.,"The analysis of the coexistence of FWA  cells in the 3.4-3.8 GHz band" European Conference of Postal and Telecommunication Administration (CEPT), Tech. Rep. 33, 2003.

3.        T.S. Rappaport, "Wireless communications: principles and practice." 2nd. Ed, Prentice Hall, New Delhi, 2005.

4.        P. M. Ghosh, M.A. Hossain, Zainul-Abadin, K.K. Karmakar,"Comparison among different large scale path loss models for high sites in urban, suburban and rural areas,". International Journal of Soft Computing and Engineering (IJSCE), vol.  2(2), 2012.

5.        M.G. Wacek, "The path of the ultimate loss ratio estimate" Casualty Actuarial Society Forum,",2007.

6.        P.K. Sharma and R.K., Singh, "Comparative Analysis of Propagation Path loss models with Field Measured Data". International Journal of Engineering Science and Technology, Vol. 2(6):pp.  2008-2013, 2010.

7.        V. Erceg, L.J. Greenstein, S. Tjandra, S.R. Parkoff, A. Gupta, B. Kulic, A. Julius, R. Jastrzab,"An empirically based path loss model for wireless channels in suburban environments". Global Telecommunication Conference, Vol. 2, pp. 922-927, 1998..

8.        R. Mardeni, and T.S. Priya, "Optimized COST 231 Hata models for WiMAX path loss prediction in suburban and open urban environments,". Modern Applied Science, vol. 4(9), 2010.

9.        W. Joseph and L. Martens,"Performance evaluation of broadband fixed wireless system based on IEEE 802.16". IEEE Wireless Communications and Networking Conference, Las Vegas, vol. 2, pp. 978-983, 2006.

10.     V. Erceg, K.V.S. Hair, M.S. Smith, D.S. Baum, K.P. Sheikh, C. Tappenden, J.M. Costa, C. Bushue, A. Sarajedini, R. Schwartz, D Branlund, T Kaitz, D. Trinkwon, "Channel models for fixed wireless applications". IEEE 802.16 Broadband Wireless Access Working Group, 2001.

11.     I. Simic, lgor, I. Stanic, B. Zrnic, "Minimax LS algorithm for automatic propagation model tuning", Proceedings of the 9th Telecommunications Forum, Belgrade, 2001.

12.     A. Goldsmith, "Wireless Communication." Cambridge University Press, New   York, 2005. 

13.     COST Action 231, "Digital mobile radio towards future generation systems". Final Report, Tech. Rep., European Communities, EUR 18957, 1999.

14.     M. Hata, "Empirical formula for propagation loss in land mobile radio services", IEEE Transactions on Vehicular Technology, vol. 29, pp. 317-325, 1980.

15.     Y. Okumura, E. Ohmori, T. Kawano, and K. Fukua, "Field strength and its variability in UHF and VHF land mobile radio service". Rev. Elec. Comm. Lab., vol. 16 (9), pp. 825-873, 1968..   

16.     M. Sahajahan, and A.Q. Abdulla,"Analysis of propagation models for WiMAX at 3.5 GHz", Master Thesis Blekinge Institute of Technology, 2009.

17.     J. Milanovic, S. Rimac-Drlje and K. Bejuk."Comparison of propagation model accuracy for WiMAX on 3.5GHz", 14th IEEE International Conference on Electronic Circuits and Systems, Morocco,2007.

18.     M. Alshami, T. Arslan, J. Thompson and A. Erdogan,  "Evaluation of path loss models at WiMAX   Cell-edge", 4th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp. 1-5, 2011.


161-165

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

36.

Authors:

Imran Ullah Khan, Tan Chong Eng

Paper Title:

The Performance Enhancement of Dual Relay Cooperative Wireless Network in Rician Fading Channel

Abstract:    The aim of this study was to investigate the performance enhancement of dual relay cooperative wireless network by using Amplify and Forward (AF) relaying protocol in Rician fading channel with different K-factors. The bit error rate (BER) and BER gain by using AF scenario in Rician fading channel are derived. The results obtained from the proposed models are compared to AF scenario in Rayleigh and Nakagami-m fading channels. It is found that the proposed BER model of AF cooperative scenario outperform as compared to non cooperative scenario in terms of less BER. It is indicated that at lower values of K (i.e., at severe fading as well as weak LOS reception), the proposed model of AF scenario in Rician fading channel showed less BER as compared to AF scenario in Rayleigh fading channel (i.e., K=0, which denotes severe fading as well as the scenario where LOS component completely vanishes and reception becomes non-LOS). It is shown that at severe fading (i.e., at lower K values) while keeping lower signal to noise ratio (SNR) the proposed model showed less BER. However, the proposed model shows constant BER as K approaches to infinity (i.e., the BER performance approaches AWGN channel error performance) while keeping low SNR values .It is also revealed that with the increase in K values 1 to 60 (i.e., decrease in severe fading to lowest fading as well as an increase from weak to strong LOS reception) the proposed model showed less BER and high BER gain as compared to Nakagami-m channel while keeping low values of SNR (i.e., 1-18dB).

Keywords:
   Bit error rate, bit error rate gain, Rician fading channel, cooperative network.


References:

1.        Y. Wendong, C. Yueming, X. Youyun. "Wireless cooperative mesh network: A new architecture for network convergence", ZTE Communications, vol.3, pp.84-95, 2008.
2.        J.N. Laneman, D.N. Tse, and G.W. Wornell., "Cooperative diversity in wireless networks:Efficient protocols and outage behavior", IEEE Transactions on Information Theory, vol.50, pp.3062-3080, 2004.

3.        A. Sendonaris, E. Erkip, and B. Aazhang., "User cooperation diversity- Part I: system description", IEEE Transactions on Communications., vol.51, pp.1927-1938, 2003.

4.        Sendonaris, E. Erkip, and B. Aazhang., "User cooperation diversity- Part II  implementation aspects and performance analysis", IEEE Transactions on Communications, vol.51, pp.1939-1948, 2003.

5.        T.E. Hunter and A. Nosratinia., "Cooperative diversity through coding," in Proc. IEEE ISIT, p. 220, Lausanne, Switzerland, 2002.

6.        T.E. Hunter and A. Nosratinia., "Diversity through coded cooperation," IEEE Transactions on Wireless Communications, vol. 5, No.2, 2006.

7.        M. O. Hasna and M.S. Alouini., "End-to-End performance of transmission systems with relays over Rayleigh fading channels", IEEE Transactions on Wireless Communications, vol.2, no.6, pp.1126-1131, 2003.

8.        S. Ikki and M. H. Ahmed., "Performance analysis of cooperative diversity wireless networks over Nakagami-m fading channel", IEEE Communications Letters , vol.11, no.4, pp.334-336, 2007.

9.        M.K. Simon and M.S. Alouini., "Digital communication over fading channels", John Wiley and Sons, New York, 2004.

10.     A. Ribeiro, X. Cai, and G. B. Giannakis., "Symbol error probabilities for general cooperative links," IEEE Transactions on Wireless Communications, vol. 4, no. 3, 2005.

11.     Z. Wang and G.B. Giannakis., "A simple and general parameterization quantifying performance in fading channels" IEEE Transactions on Communications, vol.51, no.8 pp: 1389 - 1398, 2003.

12.     L. L. Yang and H. H. Chen., "Error probability of digital communications using relay diversity over Nakagami-m fading channels", IEEE Transactions on Wireless Communication, vol.7, no.5, pp.1806-1811, 2008.

13.     W. Limpakom., Y.D. Yao and H. Man.,"Outage probability analysis of wireless relay and cooperative networks in Rician fading channels with different K-factors", IEEE Vehicular Technology Conference, pp.1-5, 2009.

14.     J. Adeane, M. R. D. Rodriques and I. J. Wassell., "Characterization of the performance of cooperative networks in Ricean fading channels", in 12th International Conference on Telecommunications (ICT 2005), Cape Town, South Africa, 2005.

15.     K. G. Seddik, A. K. Sadek, W. Su and K. J. R. Liu., "Outage analysis and optimal power allocation for multi-node relay networks", IEEE Signal Process. Lett., vol.14, no.6, pp.377-380, 2007.

16.     J.W. Craig., "A new, simple and exact result for calculating the probability of error for two-dimensional signal constellations," In Proceedings of the Military Communications Conference (MILCOM), McLean, VA, vol. 2, pp. 571-555, 1991.

17.     A. Goldsmith., "Wireless communications", Cambridge University Press, New York, 2005.


166-171

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

37.

Authors:

Rakesh Kumar

Paper Title:

Design and Simulation of Dual and Triple Band Fractal Circular Patch Micro-Strip Antenna for C-Band Application

Abstract:    In the design of the systems are always important Some applications require the antenna to be as miniaturized as possible. Fractal antennas have entered the view of many as a very promising solution. It would be highly beneficial to design an antenna with similar radiation properties as the quarter-wavelength monopole while retaining its radiation properties. Fractal antennas size can be shrunk from two to four times with surprising good performance.  Fractal antenna theory is built, as is the case with conventional antenna theory, on classic electromagnetic theory. Fractal antenna theory uses a modern (fractal) geometry that is a natural extension of Euclidian geometry. Design dual and triple band fractal antenna for c-band application.

Keywords:
   Micro-strip antenna, fractal antenna, design of  dual band and triple band fractal antenna.


References:

1.        Jaggard, D. L., 1995. Fractal Electrodynamics: Wave Interaction with Discretely self-similar structures in electromagnetic Symmetry. Taylor and Francis Publishers, Washington D.C., 1995, pp. 231-281.
2.        Kordzadeh and Kashani, F. H., 2009. A new reduced size micro strip patchantenna with fractal shaped defects. Progress in Electromagnetic Research B, Vol.11, pp. 29-37.

3.        Werner, D.H.  and Ganguly,S., 2003. An Overview of fractal antenna engineering research. IEEE Antennas and Propagation Magazine, vol. 45, February2003.

4.        Tian Tiehong and   Zhou Zheng, 2003, A novel multiband antenna: Fractal antenna, Beijing university of posts and telecommunication, Proceedings of ICCT2003, pp..

5.        Madelbrot, B.B., 1983, The fractal geometry of nature. New York, W.H Freeman.

6.        Azeri, A. and Rowan, J., 2008. Ultra wideband fractal micro strip antenna design. Progress in Electromagnetic Research C, Vol. 2, pp.7-12.

7.        Carles, P. B., Romeu, J. and Cardama, A., 2000. The Koch Monopole: A Small Fractal Antenna. IEEE Transaction on Antenna and Propagation, Vol. 48, Issue 11.

8.        Khan, A. S. N., Hu, J., Xiong, J., and He, S., 2008. Circular fractal monopole antenna for low VSWR UWB application. Progress in Electromagnetic Research Letters, Vol. 1, pp. 19-25.

9.        Lai, T.F., Mahadi, W.N.L, and Soin, N., 2008. Circular Patch Micro strip  Array Antenna for KU-band. World Academy of Science, Engineering and Technology, pp. 48.

10.     Saidatul, N. A., Azremi, A. A. H., Ahmad, R. B., Soh, P. J.  and Malek, F.,2009.Multiband fractal planar  inverted antenna (F-PIFA) for mobile phone application. Progress in Electromagnetic Research B, Vol. 14, pp.127-148.

11.     Liang, et.al, J., 2005. CPW-fed circular disc monopole antenna for UWB application. IEEE International Workshop on Antenna and Technology:  Small Antennas and Novel Met materials, Marina Mandarin, Singapore, pp. 505-508.

12.     Park, J., Hyung, N.G., and Baik, S.H., 2004. Design of a modified L-probe fed micro strip patch antenna," IEEE Antenna and Wireless Propagation Letters, Vol. 3.

13.     Guo, Y.X., Luk, K.M., and Lee, K.F., 2003. L-probe fed thick-substrate patch antenna mounted on a finite ground plane. IEEE Transactions on Antenna and Propagation, Vol. 51, Issue. 8, pp. 1955.

14.     Pirai, M. And Hassani, H.R., 2008. L-probe fed circular polarized wideband planar patch antenna on cylindrical structure. Progress in Electromagnetic Research C, Vol. 3, pp-161-167.

15.     Guo,Y.X., Luk, K.M., and Lee, K.F.,U-slot circular patch antennas with L- probe Feeding.


172-180

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

38.

Authors:

Talsania Mihir, Britto Fiona, Rajpal Jivesh, Wadhwa Preeti

Paper Title:

Cost Effective Implementation of a Human Arm Emulator

Abstract:    Dangerous work environments, like nuclear reactors and chemical plants, pose a threat to human life by the ways of injuries or fatalities. RoboArm is a simple and highly cost efficient electromechanical model, which copies a human being’s hand movements. It is controlled remotely via an infrared beam, which is generated by using infrared light emitting diodes, which sense a human being’s hand movements. This circuit has been designed to emulate two dimensional hand movements successfully. The actions which can be mimicked include a forward and backward motion as well as a grabbing action is achieved using electromagnets.

Keywords:
   Electromechanical, Infrared, Low cost, Phototransistor, Robotic arm


References:

1.       Yu-Luen Chen; Fuk-Tan Tang ;  Chang, W.H. ;  May-Keun Wong ;  Ying-Ying Shih ;  Te-Son Kuo The new design of an infrared-controlled human-computer interface for the disabled, Rehabilitation Engineering, Dec 1999 ;Volume: 7 , Issue: 4 Page(s): 474- 481.
2.       Chung-Hsien Kuo; Yu-Wei Lai ;  Kuo-Wei Chiu ;  Shih-Tseng Lee; Motion planning and control of interactive humanoid robotic arms ; Advanced robotics and Its Social Impacts, 2008. ARSO 2008. Page(s): 1-6.

3.       Uehara, H. ; Higa, H. ;  Soken, T. ; A mobile robotic arm for people with severe disabilities; 2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), Page(s): 126  - 129.

4.       Kadowaki, A.;Yoshikai, T. ;  Hayashi, M. ;  Inaba, M. ; Development of soft sensor exterior embedded with multi-axis deformable tactile sensor system; The 18th IEEE International Symposium onRobot and Human Interactive Communication, 2009. RO-MAN 2009. Page(s): 1093 - 1098.

5.       March, P.S. ;Taylor, R.C. ;  Kapoor, C. ;  Tesar, D. ;Decision making for remote robotic operations; ICRA '04. 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. Page(s): 2764- 2769 Vol.3.

6.       Muhammad Ali Mazidi, Janice G. Mazidi, Rolin D. McKinlay;The 8051 Microcontroller and Embedded Systems (2nd Edition).

7.       R.S. Sedha; A Textbook Of Applied Electron; Edition 2.

8.       Datasheets: NE 555, ST Microelectronics L293, AT89c2051,etc.


181-183

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

39.

Authors:

Anil Kumar

Paper Title:

Removing the Problem of Erratic Continuity in Assembly of Lever Combination Switch using Continuous Improvement Process

Abstract:    Company Mindarika had reported poor quality of particular products in the Assembly department which results in increasing cost, lead time, and customer complaints. The purpose of this study is to help Company Mindarika to improve the product quality and to manage the data for a continuous improvement plan by using Continuous Process Improvement and the Quality Control Techniques. Methods and procedures of this study include a review of literature relevant to Continuous Improvement, Quality Control Techniques, Root cause Analysis, Seven Tools of Quality and Assembly process of a specific automotive product (Lever Combination Switch). After the causes of defects were identified, solutions and procedures were recommended to the Company to eliminate defects in the assembly process of Lever Combination Switch.

Keywords:
   Lever Combination Switch, Erratic Continuity, Continuous Process Improvement, Quality Control Tools.


References:

1.       Dale H. Besterfield “ Total Quality Management” ,  Prentice Hall, 2006
2.       Narongsawas Chongwatpol “Implementing Continuous Process improvement methods in a  Mid Size Plastic Company” May, 2006,PP. 25-29.

3.       www.mindagroup.com/mindarika.htm

4.       Colin Herron and Paul M. Braiden, “A methodology for developing sustainable quantifiable productivity improvement in manufacturing companies”, International Journal Production Economics 104 (2006) pp143-153.

5.       Andrew Crowley, “Construction as manufacturing process: Lessons from the automotive industry”, Computers and Structures 67(1998) pp 389-400.

6.       P. Kuhlang, T. Edtmayr, W. Sihn, ”Methodical approach to increase productivity and reduce lead time in assembly and production-logistic process”, CIRP Journal of Manufacturing Scince and Technology 4 (2011) pp 24-32.


184-186

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

40.

Authors:

Balwinder Singh Surjan

Paper Title:

Design of Fixed Structure Optimal Robust Controller Using Genetic Algorithm and Particle Swarm Optimization

Abstract:    In this paper genetic algorithm (GA) has been  applied for for the design of the structure specified optimal robust controllers. The controller structure is pre-specified and the controller design problem is posed as constrained nonlinear optimization problem. The parameters of the chosen controller are obtained solving the nonlinear constrained optimization problem. The performance indices which have been used in the design are integral absolute error (IAE), integral square error (ISE), integral time absolute error (ITAE) and integral time square error (ITSE). The constraints are frequency domain performances related with robust stability and disturbance rejection.

Keywords:
   Genetic algorithm, fixed structure controller, ISTE,ISE, IAE, nonlinear optimization, optimal robust controller.


References:

1.        J.M. Maciejowski, Multivariable Feedback Design, MA: Addison-Wesley, 1989.
2.        B.S. Chen, Y.M. Cheng and C.H. Lee, "A Genetic Approach to Mixed   Optimal PID Control", IEEE Control systems Magazine,Vol.15, No.5, pp. 51-60, 1995.

3.        Shinn-Jang Ho, Shinn-Ying Ho, Ming-Hao Hung, Li-Sun Shu and Hui-Ling Huang, " Designing Structure Specified Mixed   Optimal Controllers using an Intelligent Genetic Algorithm IGA", IEEE Trans on Cont Syst Tech, Vol.13, No.6, pp.1119-1124, 2005.

4.        M. Jamshidi, L. Coelho, R. Krohling and P. Fleming, Robust Control Systems with Genetic Algorithms, New York: CRC press, 2003.

5.        K. Deb, Optimization for Engineering Design, New Delhi: Prentice Hall, 2000.

6.        Thomas Back, D.B. Fogel and Z. Michalewicz, Evolutionary Computation 1: Basic Algorithms and Operators (Evolutionary Computation), Taylor & Francis, 2000.

7.        Thomas Back, D.B. Fogel and Z. Michalewicz, Evolutionary Computation 2 (Advanced Algorithms and operators), Taylor & francis, 2000.

8.        J. Kennedy and R.C. Eberhart, " Particle Swarm Optimization", Proceedings of IEEE International Conference on Neural Networks, Piscataway, NJ, pp. 1942-1948, 1995.

9.        C.L. Linn, H.Y. Jan and N.C. Shieh, " GA based Multiobjective PID Control for a Linear Brushless DC Motor", ASME Trans on Mechatronics, Vol.8, No.1, pp.56-65, 2003,

10.     J. Ackermann, Robust Control: Systems with Uncertain Physical Parameters. Berlin: Springer-Verlag, 1993.

11.     Richard C. Dorf and Robert H. Bishop, Modern Control systems, Menlo Park CA: Addison-Wesley, 1999.

12.     R. Storn and K. price, Differential Evolution- a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces, Technical report,
International Computer Science Institute, Berkeley, 1995.

13.     K.V. Price, An Introduction to Differential Evolution, in New Ideas in Optimization, D. Corne, M. Dorigo and F. Glover, Eds. London, Mc Graw Hill, pp. 79-108, 1999.

14.     R. Storn,  "On the Usage of Differential Evolution for Function Optimization", In IEEE Biennial Conference of the North American Fuzzy Information Processing Society, pp.519-523, 1996.

15.     C.G. Lo Bianco and A. Piazzi, "Mixed Fixed Structure Control via Semi-Infinite Optimization", Proceedings of the 7th IFAC International Symposium on CACSD, Gent. Belgium, pp.329-334, 1997.


187-190

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

41.

Authors:

Mudit Sharma

Paper Title:

Control Classification of Automated Guided Vehicle Systems

Abstract:    An automated guided vehicle or automatic guided vehicle (AGV) is a mobile robot that follows markers or wires in the floor, or uses vision or lasers. They are most often used in industrial applications to move materials around a manufacturing facility or a warehouse. Application of the automatic guided vehicle has broadened during the late 20th century and they are no longer restricted to industrial environments. Automated guided vehicle systems (AGVS) are widely used for transporting material in manufacturing and warehousing applications. These systems offer many advantages over other forms of material transport. However, the design of these systems is complex due to the interrelated decisions that must be made and the large number of system design alternatives that are available. In particular, the design of the AGVS control system can be quite challenging, and it can dramatically affect the system cost and performance. This paper presents a classification of automated guided vehicle systems developed from a control perspective. This classification is demonstrated on several example systems from the literature. This paper develops a classification scheme that provides a structured mechanism for organizing the relevant information about the design of the AGVS from a control perspective. It allows the system designer to determine how design decisions will impact the control complexity. It also provides the foundation for a design aid that will help the system designer determine the most appropriate AGVS design for a specific application.

Keywords:
   AGV, AGVS


References:

1.       Bakkalbasi, O. and McGinnis, L.F., 1988, “ABC’s of Preliminary In-House Planning and Analysis of AGVS Applications,” Proceedings of AGVS’88, MHI, Cincinnati, OH, September 27-28.
2.       Bartholdi, J.J. and Platzman, L.K., 1989, “Decentralized Control of Automated Guided Vehicles on a Simple Loop,” IIE Transactions, vol. 21, no. 1, pp. 76-81.

3.       Baumgartner, E.T. and Skaar, S.B., 1994, “An Autonomous Vision-based Mobile Robot,” IEEE Transactions on Automatic Control, vol. 39, pp. 493-502.

4.       Biemans, F.P.M. and Vissers, C.A., 1989, “Reference Model for Manufacturing Planning and Control Systems,” Journal of Manufacturing Systems, vol. 8, no. 1, pp. 35-46.

5.       Bohlander, R.A. and Heider, W., 1988, “Control Considerations When Planning AGVS Installations,” Proceedings of AGVS’88, MHI, Cincinnati, OH, September.

6.       Bozer, Y.A., and Srinivasan, M.M., 1991, “Tandem Configurations for Automated Guided Vehicle Systems and the Analysis of Single-Vehicle Loops,” IIE Transactions, vol. 23, no. 1, pp. 72-82.

7.       Bozer, Y.A., and Park, J.H., 1992, “New Partitioning Schemes for Tandem AGV Systems,” Proceedings of the 1992 International Material Handling Research
Colloquium, Milwaukee, WI.

8.       Bozer, Y.A. and Srinivasan, M.M., 1989, “Tandem Configurations for AGV Systems Offer Simplicity and Flexibility,” IE Magazine, February, pp. 23-27.

9.       Christensen, J.H., Struger, O.J., Norrie, D. and Schaeffer, C., 1994, “Material Handling Requirements in Holonic Manufacturing Systems,” Proceedings of the 1994 International Material Handling Research Colloquium, Grand Rapids, Michigan, June.

10.     Co, C.G. and Tanchoco, J.M.A., 1991, “A Review of Research on AGVS Vehicle Management,” Engineering Costs and Production Economics, vol. 21, pp. 35-42.

11.     Egbelu, P.J., 1987, “The Use of Non-Simulation Approaches in Estimating Vehicle Requirements In An Automated Guided Vehicle Based Transport System,” Material Flow, vol. 4, pp. 17-32.

12.     Egbelu, P.J. and Tanchoco, J.M.A., 1982, “Operational Considerations for the Design of Automated Guided Vehicle Material Handling Systems,” Technical Report 8201, Department of Industrial and Operations Research, Virginia Polytechnic Institute and State University, Blacksburg, VA.

13.     Egbelu, P.J. and Tanchoco, J.M.A., 1984, “Characterization of Automatic Guided Vehicle Dispatching Rules,” International Journal of Production Research, vol. 22, no.3, pp. 359-374.

14.     Egbelu, P.J. and Tanchoco, J.M.A., 1986, “Potentials for Bidirectional Guidepath for Automatic Guided Vehicle Systems,” International Journal of Production Research, vol. 24, pp. 1075-1099.

15.     Gaskins, R.J. and Tanchoco, J.M.A., 1987, “Flow Path Design for Automated Guided Vehicle Systems,” International Journal of Production Research, vol. 25, no. 5, pp. 667-676.

191-196

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

42.

Authors:

Deepak Sundrani, Yusuf Inamdar

Paper Title:

Exploring Methods of Replacement of Concrete Road in Two Days

Abstract:   In India, repairing / replacing of concrete road takes weeks, sometimes months and sometimes years. At many places Bitumen roads are preferred because they can be repaired very fast. However in some South East Asian Asian countries, city roads made of concrete, are replaced in two days. In a four lane road, two lanes are dug up on Saturday, the rubble is transported away and fresh ready mixed concrete is poured on Sunday and on Monday the traffic commences as usual on the new concrete road. Thus on the two days when traffic is thin because of offices having holidays is utilized to replace the concrete road. On next Saturday and Sunday, the process is repeated for the balance part of the concrete road. Time saving is the biggest benefit. The trouble caused to innumerable city persons travelling can be drastically cut. If we can calculate the benefit of this, then the benefit cost ratio will be much more than one.The paper attempts to explore the various possible methods of replacing a concrete road in two days.

Keywords:
   Concrete road, sulphur concrete, tremix concrete.


References:

1.       www.aquarius.tech.net accessed on 25 August 2012.
2.       www.ravitec.com, accessed on 25 August 2012.

3.       Okumara H.A., Sulfurcrete : Sulfur Concrete Technology,  of Cominco Ltd., www.sulphurinstitute.org/programs/Sulfurcrete.pdf accessed on 25 August 2012 .


197-199

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

43.

Authors:

Anurag Baghela

Paper Title:

Application of Markov Process to Improve Production of Power Plant

Abstract:    Due to the fast paced growth of world economy the energy demand is increasing very rapidly. To maintain the quality of power, economical production and long run performance of the plants should be kept failure free (as far as possible). So, these industries invest much more for up-gradation, high level of automation and use sophisticated machineries to get the desire level of results. But, still these industries are lagging in dependable and reliable supplies of electricity. Today most of the power plants are operating with low efficiency. In most of the cases it is less than 30%. There are a few plants in which efficiency is more than 60%. To prevent such mishaps a detailed system behavioral analysis along with maintenance planning is important. For which a mathematical model is necessary which exhibit the system upstate in quantitative form and analyze system performance in actual operating conditions. It is also helpful to process design department for modification in design and to maintenance department to in monitoring the system performance and planning in advance to keep system failure free for longer duration. The work presented here is mainly concerned with reliability centered maintenance of thermal power plant. The study is conducted in a Thermal Power Plant situated in Rajasthan.

Keywords:
   MTBF, MTTF


References:

1.        Addition-Wesley, (2003), “Markov Chains”, Pearson Education, Inc.
2.        Alfares, H. (1999), “A simulation model for determining inspection frequency”, Computers and Industrial Engineering, Vol. 36, No. 3, pp. 685-696.

3.        Arien, B., Lamy, D., Devooght, J. and Smidts, C. (1992), “Reliability analysis of large systems by the Markovian technique”, Development of the Camera Software-Use of Probabilistic Safety Assessment for Operational Safety, PSA 91, IAEA Vienna, Vol. 1, pp. 47-59.

4.        Barabady, J. (2005), “Improvement of system availability using reliability and maintainability analysis”, Licentiate thesis, Lulea˚ University of Technology.

5.        Barlow, R.E., Proschan, F. and Hunter, L.C. (1965), “Mathematical theory of reliability”, John Wiley and Sons, Inc., New York, pp. 256.

6.        Cafaro, G., Corsi, F. and Vacca, F. (1986), “Multi state Markov models and structural properties of the transition rate matrix”, IEEE Transactions on Reliability, Vol. 35, pp.192-200.

7.        Cherry, D.H. (1978), “Availability analysis for chemical plants”, Chemical. Engineering Progress, Vol. 74, pp. 55-60.

8.        Chismant, J.A. (1998), “Using discrete simulation modeling to study large-scale system reliability/availability”, Computers and Operations Research, Vol. 25, No. 3, pp. 169-174.

9.        Dhillon, B.S. (2003), “ Method for performing human reliability and error analysis in health care”, International Journal of Health Care and Quality Assurance, Vol. 16, No. 6, pp. 306-317.

10.     Ebeling, C.E. (1997), “An Introduction to Reliability and Maintainability Engineering”, McGraw-Hill, New York, NY.


200-203

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

44.

Authors:

Priyanka Sharma, Shiv Kumar

Paper Title:

Forgery Resistant Scrambled Image Watermarking

Abstract:    Collusion is a mechanism where some secret information shared between many peers is forged to use for illegal purpose. The watermark embedded in an image is the secret information which can be used to claim the originality by its owner. The images delivered to different peers have different watermarks embedded into them. All those malicious attackers can compare the watermarked images to determine the common places where the watermark has been embedded; hence the watermark can be attacked through collusion. So a new technique for watermarking which is collusion resistant has been proposed here. This scheme uses averaged coefficients based discrete cosine transform to embed the watermark at different areas in different images. The main advantage of the scheme is that the image is scrambled before embedding of the watermark and descrambled after embedding. This leads to spreading of the watermarking information throughout the watermarked image and it is very difficult to detect it. The correlation results show that the watermark is very robust.

Keywords:
  4 to 8 bit encoding, DCT, Mid Band coefficient, Scrambling, Watermarking..


References:

1.        Hyun-Jun Choi; Young-Ho Seo; Ji-Sang Yoo;Dong-Wook Kim" Digital watermarking technique for holography interference patterns in a transform domain" Kwangwoon University, 447-1,Hansung University,Pages136-792, Republic of Korea,2007.
2.        W. Lu et al " Robust digital image watermarking based on subsampling" Applied Mathematics and Computation 181, 886-893, 2006.

3.        Rui-min Shen, Yong-gang Fu " A novel image watermarking scheme based on support vector regression" The Journal of Systems and Software 78, 1-8, 2005.

4.        M. Barni et al. "A DCT-domain system for robust image watermarking"Signal Processing 66, 357-372, 1998.

5.        P.RAMANA REDDY, DR. Munaga. V.N.K.PRASAD "Robust Digital Watermarking of Images using Wavelets" International Journal of Computer and Electrical Engineering, Vol. 1, No. 2, 1793-8163, June 2009

6.        Hernandez, J.R. ;Amado, M. ;  Perez-Gonzalez, F. "DCT-domain watermarking techniques for still images: detector performance analysis and a new structure" Image Processing, IEEE Transactions on,Vol  9 , Issue: 1 , 55 - 68 , Jan 2000

7.        Gangyi Jiang; Mei Yu ; Shoudong Shi ; Xiao Liu ; Yong-Deak Kim "New blind image watermarking in DCT domain  ", IEEE Xplore,1580 - 1583 vol.2 , 26-30 Aug. 2002

8.        S.D. Lin et al." Improving the robustness of DCT-based image watermarking against JPEG compression/ Computer Standards & Interfaces" 32, 54-60,2010.

9.        J. Ryan, "Method and Apparatus for Preventing the Copying of a Video Program," United States Patent, 4,907-930, 1990.

10.     Vikas Saxena, J.P Gupta" Collusion Attack Resistant Watermarking Scheme for Colored Images using DCT" IAENG International Journal of Computer Science, 34:2, IJCS_34_2_02,November,2007.

11.     Gunjan, Reena, Maheshwari, Saurabh, Gaur, M., Laxmi, Vijay, "Permuted Image DCT Watermarking", Computational Intelligence in Security for Information Systems, Springer, vol. 85, pp. 163-171.

12.     Saurabh Maheshwari, Reena Gunjan, Vijay Laxmi, and M.S. Gaur, "Robust Multi-modal Watermarking using Visually Encrypted Watermark", The 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012, IEEE, vol.    pp. 72-75.


204-208

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

45.

Authors:

Balwinder Singh Surjan, Ruchira Garg

Paper Title:

Power System Stabilizer Controller Design for SMIB Stability Study

Abstract:    The low frequency oscillations (LFOs) are related to the small signal stability of a power system and are detrimental to the goals of maximum power transfer and power system security. As power systems began to be operated closer to their stability limits, the weakness of a synchronizing torque among the generators was recognized as a major cause of system instability instead of damping torque. Automatic voltage regulators (AVRs) can improve the steady-state stability of the power systems. The addition of a supplementary controller into the control loop, such as power system stabilizers (PSSs) to the AVRs on the generators, provides the means to reduce the inhibiting effects of low frequency oscillations. The power system stabilizers work well at the particular network configuration and steady state conditions for which they were designed. Once conditions change the performance degrades To overcome the drawbacks of power system stabilizer (PSS), numerous techniques are available in the literature. In the present work, the effectiveness of conventional PSS and  PID-PSS has been compared.

Keywords:
   LFOs, AVRs, PSSs, PSS, PID-PSS.


References:

1.       P.Kundur, “Power system stability and control” New York: Tata McGraw-Hill, 1994.
2.       P.M Anderson and A. A. Fouad, “Power System Control and Stability”, Volume- I, Iowa State University Press, Ames, Iowa, 1977.

3.       F.P.demello, C.Concordia, “Concepts Of Synchronous Machine Stability As Affected By Excitation Control,” IEEE Trans.On Power system and apparatus, Vol-PAS-88, No.4, April 1969, pp. 316-329.

4.       IEEE Committee Report: “Computer representation of excitation systems”, IEEE Trans., 1968, PAS-87, pp 1460-1464.

5.       Heffron, W.G., and Phillips, R.A: “Effects of modern amplidyne voltage regulator on under-excited operation of large turbine generators”, AIEE Trans., 1952, PAS-71, pp. 692-697.

6.       Michael J. Basler and Richard C. Schaefer, “Understanding Power System Stability”, IEEE Trans. On Indudtry Application, Vol. 44, No. 2, March/April-2008, pp 463-474.

7.       Kundur P., Klien, M., Rogers, G.J., and Zywno, M.S.: “Application of Power System Stabilizer for the enhancement of overall system stability”, IEEE Trans., 1989, PWRS-4, pp. 614-626.

8.       Larsen E.V. and Swann D.A.; “Applying power system stabilizers Part-I”, Power Apparatus and Systems, IEEE Transactions, Volume: 100, No. 6, Page(s): 3017-3024, 1981.

9.       Larsen E.V. and Swann D.A.; “Applying power system stabilizers Part- II”, Power Apparatus and Systems, IEEE Transactions, Volume: 100, No. 6, Page(s): 3025-3033, 1981.

10.     Larsen E.V. and Swann D.A.; “Applying power system stabilizers Part- III”, Power Apparatus and Systems, IEEE Transactions, Volume: 100, No. 6, Page(s): 3034-3046, 1981.

11.     Yuan Yih Hsu and Kan Lee Liou, “Design of PID power system stabilizers for synchronous generators” IEEE Trans., 1987, pp 343-348.

12.     Peter.W.Sauer, M.A.Pai, “Power System Dynamics And Stability,” Published by Pearson Education (Singapore) Pte. Ltd., Indian Branch, 482 F.I.E. Patparganj Delhi, 1st Indian Reprint ,  2002.

13.     K.R. Padiyar, “Power System Dynamics: Stability And Control,” Interline Publishing Pvt. Ltd Banglore, 1996.

14.     Kiam Heong Ang, Gregory Chong, Student member, IEEE, and Yun Li, Member, IEEE, “PID Control System Analysis, Design and Technology”, IEEE Trans. On Control System Technology, Vol.13, No.4 July, 2005.

15.     Wen Tan, Jizhen Liu, Tongwen Chen, Horacio J. Marquez, “Comparison of some well-known PID tuning formulas” Computer & Chemical Engineering 30 (2006) Elsevier, pp1416-1423. 

209-214

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

46.

Authors:

M.Bencherif, A. Chermitti

Paper Title:

New Method to Assess the Losses Parameters of the Photovoltaic Modules

Abstract:    The determination of an effective method able to estimate the parameters of a photovoltaic panel is essential for the development and the performance of analysis of such equipment. In this paper, we present a new simple and effective method in order to extract the parameters of the photovoltaic modules by using the standard diode model. This model requires that the five parameters be known, the photocurrent Iph, the reverse saturation current Is, the resistance Rs, the shunt resistance Rsh and the curve fitting parameter A (the ideality factor) or the thermal voltage a. For that we formulated an equation binding only the two losses parameters Rs and Rsh. In order to solve this equation and to determine the shunt resistance and the thermal voltage, we expose the computation models of the series resistance Rs, which give excellent approximations. While the other parameters Iph and Is depend exclusively on the parameters Rs, Rsh, a and the short circuit current Isc and the open circuit voltage Voc. This method is validated experimentally by three different flat plat PV modules of various technologies (Monocrystalline, polycrystalline and thin film panels) and manufacturers.

Keywords:
   photovoltaic modelling; single diode model; parameters of the model; curves fitting.


References:

1.        M. Haouari-Merbaha, M. Belhamel, I. Tobías, J. M. Ruiz, "Extraction and analysis of solar cell parameters from the illuminated current-voltage curve",  Sol.  Energy Mater. Sol. Cells, Vol. 87, pp. 225-233 (2005).
2.        Adelmo Ortiz-Conde, Francisco J. García Sánchez and Juan Muci. "New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I-V characteristics",  Sol.  Energy Mater.  Sol.  Cells,  Vol.  90  pp. 352-361  (2006).

3.        Priyanka, Mohan Lal and S.N. Singh, "A new method of determination of series and shunt resistances of silicon solar cells", Sol. Energy Mater. Sol. Cells, Vol. 91, pp. 137-142 (2007).

4.        Z. Ouennoughi and  M. Chegaar, "A simpler method for extracting solar cell parameters using the conductance method", Solid-State Electron., Vol. 43, pp. 1985-1988 (1999).

5.        M. Tivanov, A. Patryn, N. Drozdov, A. Fedotov and A. Mazanik, "Determination of solar cell parameters from its current-voltage and spectral characteristics",  Sol. Energy Mater. Sol. Cells,Vol. 87, pp. 457-465 (2005).

6.        J. Thongpron, K. Kirtikaraa, C. Jivacate, "A method for the determination of dynamic resistance of photovoltaic modules under illumination",  Sol. Energy Mater. Sol.  Cells, Vol. 90, pp. 3078-3084 (2006).

7.        Erees Q.B. Macabebe and E. Ernest van Dyk. "Parameter extraction from dark current-voltage characteristics of solar cells ",  S.Afr. J. Sci., Vol. 104, pp. 401-404 (2008). Electronic document available in: http://www.scielo.org.za/pdf/sajs/v104n9-10/a1710410.pdf.  Accessed in August 18, 2010.

8.        J. Salinger, " Measurement of Solar Cell Parameters with Dark Forward I-V Characteristics ". Acta Polyt., Vol. 46 No. 4, pp. 25-27 (2006).

9.        Ewa Radziemska. "Dark I-U-T measurements of single crystalline silicon solar cells ",  Energy Convers. Manage., Vol. 46, pp. 1485-1494 (2005).

10.     R. Hussein, D. Borchert, G. Grabosch and W.R. Fahrner. "Dark I-V-T measurements and characteristics of (n) a-Si/(p) c- Si heterojunction solar cells", Sol. Energy Mater. Sol. Cells, Vol. 69, pp. 123-129 (2001).

11.     E. Q. B. Macabebe and E. E. Van Dyk. "Parameter extraction from dark current-voltage characteristics of solar cells ",  S.Afr. J. Sci., Vol. 104, September/October, pp. 401-404 (2008).

12.     C. Carrero, J. Rodr?guez, D. Ram?rez, C. Platero. "Simple estimation of PV modules loss resistances for low error modelling",   Renewable Energy 35 (2010) 1103-1108.

13.     S. Dib, M. De La Bardonnie, A. Khoury, F. Pelanchon and P. Mialhe. "A new method for the extraction of diode parameters using a single exponential model", Act.  Passive  Electron. Compon, Vol. 22, pp. 157-163 (1999).

14.     M. Bashahu, A. Habyarimana, Renewable Energy,  vol  6, 1995, pp. 129-138.

15.     A. Vishnoi, R. Gopal, R. Dwivedi and S. K, Srivastava, "Distributed parameter analysis of dark I-V characteristics of the solar cell - estimation of equivalent lumped series resistance and diode quality factor", Circuits, Devices and Systems,  IEE Proceedings G, Vol. 140, No. 3, pp. 155-164 (1993).

16.     John A. Duffie and William A. Beckman "Solar engineering of thermal processes",   second ed 1991.New York. John Wiley , pp 770-772

17.     Soteris Kalogirou "Solar energy engineering: processes and systems ",   Elsevier (2009), pp. 477 - 486.

18.     J.A. Gow, and C.D. Manning, " Development of a photovoltaic array model for use in power electronic simulation studies", IEE Proceeding Electric power Application, vol. 146, No. 2, March 1999, pp. 193-200.

19.     The Bogdan, S.B., Salameh, Z.M., 1996. " Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system",  IEEE Transactions on Energy Conversion 11 (2), 367-375.

20.     M. G. Villalva, J. R. Gazoli, and E. R. Filho, "Comprehensive Approach to Modeling and Simulation of  Photovoltaic Arrays", IEEE Trans. Power Electronics, 24, no. 5, pp. 1198-1208, 2009.

21.     M. G. Villalva, J. R. Gazoli, and E. R. Filho, "Modeling and circuit-based simulation of photovoltaic arrays", Brazilian Journal of Power Electronics,14, no. 1, pp. 35-45, 2009.

22.     Frans Nieuwenhout, Nico van der Borg, Wilfried van Sark and Wim Turkenburg, "A New Method for Estimating Insolation Based on PV- Module Currents in Cluster of Stand-Alone solar systems", progress in photovoltaics: research and applications Prog. Photovolt. Res. Appl. 2007; 15; 29 January 2007 in Wiley ;  pp 387-404

23.     T. Ikegami, T. Maezono, F. Nakanishi!, Y. Yamagata,K. Ebihara,  "Estimation of equivalent circuit parameters of PV module and its application to optimal operation of PV system",  Solar Energy Materials & Solar Cells 67 (2001), pp 389-395

24.     Marcelo Gradella Villalva, Jonas Rafael Gazoli, and Ernesto Ruppert Filho, " Comprehensive Approach to Modelling and Simulation of Photovoltaic Arrays", IEEE TRANSACTIONS ON POWER electronics, vol. 24, no. 5, may 2009, pp 1204.


215-224

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

47.

Authors:

Meenu Dadwal, V.K.Banga

Paper Title:

Estimate Ripeness Level of fruits Using RGB Color Space and Fuzzy Logic Technique

Abstract:    In this paper, a general approach is developed to estimate the ripeness level without touching the fruit. The two techniques has been used for this purpose are - color image segmentation and fuzzy logic technique. Four images of a single fruit have been clicked from four directions and separate desired part from each image using color image segmentation. Now calculate mean values of primary colors (Red, Green and Blue) of segmented parts and give it as input to FIS (Fuzzy Inference System) editor 1. FIS editor 1 gives decision whether this part of fruit is ripe, under ripe, about to ripe, about to overripe or overripe. The same operation is applied on remaining three images. These four outputs have been given to FIS editor 2. This editor gives decision whether the whole fruit is ripe, under ripe, or overripe.

Keywords:   Color image segmentation, Fuzzy logic, RGB color space, Ripeness.     


References:

1.       B. Ojeda-Magana, R. Ruelas, J. Quintanilla-Domingvez and D. Andina, “Colour Imge Segmentation by Partitional Clustering Algorithns”, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, 7-10 Nov., Glendale, AZ, 2010,  pp.2828 -2833.
2.       Chiunheium Lin, ching- Hung Su,Hsuan Shu Huang and Kuo-Chin Fan, “Colour Image Segmentation Using Relative values of RGB in Various Illumination, Circumstances”, International Journal of computers, vol.5(2) , 2011, pp.252-261.

3.       Scanlon, M. G., “Computerized video image analysis to quantify colour of potato chips”, American Potato Journal, Vol. 71(11), 1994, pp. 717-733.

4.       F. Mendoza, J .M. Aguilera, “Application of Image Analysis for Classification of Ripening Bananas”, Journal of Food Science. 69(9), 2004, pp.415-423.

5.       J. Blasco, N. Aleixos, E., “Molto. Machine Vision System for Automatic Quality Grading of Fruit”, Biosystems Engineering, vol. 85 (4),2003, pp.415-423.

6.       Ling Mei Chang, Rodney Tan, Gilbert Thio, “Design Of Visual- based Colour Classification System”, Research papers, JASA 2, January 2007,pp. 30-33.

7.       Zhi- yuan Wen, Lu-ming Shen, Hui-png jing, Kui Fang, “Colour and Shape Grading Of Citrus Fruit Based on Machine Vision with Fractel Dimention”, 3rd International Congress on Image and Signal Processing (CISP2010),IEEE 2010,pp. 898-903.

8.       Choi K. H., “Tomato maturity evaluation using colour image analysis”, Transactions of the ASAE, Vol. 38(1), 1995, pp. 171-176.

9.       S. Romani, P. Sobrevilla, E. Montseny, “Obtaining the Relevant Colours of an image through Stability- based Fuzzy Colour Histograms”, The IEEE International Conference On Fuzzy Systems , 2003 pp. 914-919.

10.     Allan Hanbury, “Physics based Segmentation of Colour Images in Spherical Coordinates”, Technical Report,23rd july, 2003, pp. 1-2.

11.     Rafael C.Gonzalez, Richard E. Woods and Steven L. Eddins, ”digital image processing using MATLAB”,pp.208-211.

12.     Wikipedia, the free encyclopedia. Color image segmentation, 2010


225-229

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

48.

Authors:

Sangamesh G. Sakri, G. V. Jayaramaiah

Paper Title:

Consumers’ Behaviour towards Incentives for Solar Water Heater Use in Karnataka, India

Abstract:    The demand-side management (DSM) programs typically cover a variety of policies by the utilities to reduce the consumption of electricity. One such policy is to encourage the installation of appliances that use less electricity to perform their functions. In Karnataka DSM measures are in the initial stage. Electric water heating shares major portion (approximately 23%) of the electricity in the domestic sector. With the available incentives from the utility, the shift to other methods of water heating is not encouraging. This paper proposes alternative incentives which are offered to consumers to increase the penetration the solar water heaters. A survey conducted to assess the consumers’ behavior is analysed for the proposed incentives.

Keywords:
   Conservation, Demand, Heater, Solar


References:

1.       Ministry of Power, Government of India website:
2.       http://www.powermin.nic.in

3.       DSM Best Parctices Guide Book for Pacific Island Power Utilities, International Institute for Energy Conservation (IIEC), July, 2006.

4.       C. W Gellings., “The Concept of Demand-Side Management for Electric Utilities”, The IEEE Proceedings, October 1985, 73(10), 1468-1470.

5.       D. R. Limaye, “Implementation of Demand-Side Management Programs”, Proceedings of the IEEE, 73(10), October 1985, 1503-1513.

6.       KPTCL, Karnataka website: http://www.kptcl.com

7.       Central Electricity Authority, Govt. of India website: http://www.cea.nic.in

8.       Karnataka Electricity Regulatory Commission website:

9.       http://www.kerc.org

10.     Annual Report October 2010, GESCOM, Karnataka.

11.     S. G. Sakri,  G.V. Jayaramaiah, “A Case Study of GESCOM Load Data For Demand Side Management”, National Conference on Recent Advances in Electrical Power and Energy System  Management (RAEPESM-2011), 25-26 March 2011, 132-136.

12.     S. Kumar, “Demand Side Management Road Map in India”, IEEE Power & Energy Society  General Meeting, 2009. PES ’09, 1-8.

13.     K. V. Narasimha Murthy, G.D. Sumithra, and A.K.N. Reddy, “End Uses of Electricity in Karnataka Households”, International Energy Initiative, Bangalore, 1996.


230-233

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

49.

Authors:

Shweta Saxena,  Kavita Burse

Paper Title:

A Survey on Neural Network Techniques for Classification of Breast Cancer Data

Abstract:    Breast cancer is the most common disease and major cause of death among women. Early detection of this disease can greatly enhance the chances of long-term survival of breast cancer victims. Artificial Neural Networks (ANN) have been widely used for cancer prediction and prognosis. This paper studies various techniques used for the diagnosis of breast cancer using ANN. Different methods for breast cancer detection are explored and their accuracies are compared.

Keywords:
   Artificial neural networks, Breast cancer diagnosis, Wisconsin breast cancer dataset.


References:

1.        Cancer Facts and Figures 2010[online]. Available: http://www.cancer.org/Research/CancerFactsFigures/CancerFactsFigures/ cancer-facts-and-figures-2010.
2.        Tawam's 2012 Breast Cancer Awareness Campaign[online]. Available:  http://www.ameinfo.com/tawams-2012-breast-cancer-awareness-campaign-312992.

3.        Breast Cancer  [online]. Available:  http://www.womenshealth.gov/breast-cancer/what-is-breast-cancer.

4.        S. Singh, Dr. P. R. Gupta. Breast Cancer detection and Classification using Neural Network. IJAEST [online] 6(1), Available: www. leijcset.iserp.org/.../2.                 

5.        D. B. Fogel , E. C. Wasson , E. M. Boughton, and V. W. Porto, "A step  toward computer-assisted mammography using    evolutionary programming and neural networks", Cancer Letters, vol. 119, no. 1, pp. 93-97, 1997.

6.        B. S. Hulka and P. G. Moorman, "Breast Cancer: Hormones and Other Risk Factors", Maturitas, vol. 38, no. 1, pp. 103-113, 2001.

7.        S. S. Haykin, Neural Networks and Learning Machines, 3rd ed. New York: Prentice Hall, 2009, pp. 906.

8.        F. Paulin and A. Santhakumaran, "Classification of breast cancer by comparing back propagation training algorithms", Int. J. on Comput. Sci. and Eng. (IJCSE), vol. 3, no. 1, Jan. 2011.

9.        R. Nithya and B. Santhi, "Classification of Normal and Abnormal Patterns in Digital Mammograms for Diagnosis of Breast Cancer" Int. J. of Comput. Applicat., vol. 28,  no.6, pp. 0975 - 8887, Aug. 2011.

10.     A. S. Mojarad, S. S. Dlay, W. L. Woo, and G. V. Sherbet "Cross Validation Evaluation for Breast Cancer Prediction Using Multilayer Perceptron Neural Networks" American J. of Eng. and Applied Sci., vol. 5, no 1 pp 42-51, 2012.

11.     S. Haykin, Neural Networks: A Comp rehensive Foundation, Mac Millan College Publishing Company, 1994.

12.     M. R. Senapati, P. K .Routray, P. K. Dask "Breast Cancer Detection using Recursive Least Square and Modified Radial Basis Functional Neural Network",  Int. Conf. [ICCT-2010], IJCCT vol. 2, no. 2, 3, 4, 3rd-5th December 2010.

13.     D. Broomhead and D.Lowe, "Multivariable Functional Interpolation and adaptive networks", complex systems, vol. 2, pp. 321-355, 1998.

14.     H. Temurtas, N. Yumusak , F. Temurtas , "A comparative study on diabetes disease diagnosis using neural networks", Expert Systems with Applications, vol. 36, no. 4, pp. 8610-8615,  May 2009.

15.     G.S. Gill and J. S. Sohal, "Battlefield Decision Making: A Neural Network Approach", J. of Theoretical and Applied Inform. Technology, vol. 4, no. 8,  pp. 697 -699, 2009.

16.     S. N. Sivandam, S. Sumathi, and S. N. Deepa, Introduction to NEURAL NETWORKS Using Matlab 6.0, TMH Company Ltd., 2006.

17.     D. F. Specht, "Probabilistic Neural Networks", Neural Networks, vol. 3, no. 1, pp. 109-118, 1990.

18.     Y. Shan, R. Zhao, G. Xu, H.M. Liebich, Y.  Zhang, "Application of probabilistic neural network in the clinical diagnosis of cancers based on clinical chemistry data", Analytica Chimica Acta, vol. 471, no. 1, pp. 77-86,   Oct. 23,  2002.

19.     C. Lu, J. De Brabanter, S. V. Huffel, I. Vergote, D. Timmerman, "Using  artificial neural networks to predict malignancy of ovarian tumors", in Proc. 23rd Annual Int. Conf. of the IEEE Eng. in Medicine and Biology Society, 2001, vol. 2, pp. 1637-1640.

20.     R. G. Ahangar, M. Yahyazadehfar, and  H. Pournaghshband, "The comparison of methods artificial neural network with linear regression using specific variables for prediction stock price in Tehran stock exchange", Int. J. of Comput. Sci. and Inform. Security (IJCSIS), vol. 7, no. 2, Feb. 2010.

21.     I. Anagnostopoulos, C. Anagnostopoulos,  A. Rouskas, G. Kormentzas and D. Vergados "The wisconsin breast cancer problem: diagnosis and DFS time prognosis using probabilistic and generalised regression neural classifiers" Draft Version of paper to appeared in the Oncology Reports, special issue Computational Analysis and Decision Support Systems in Oncology, last quarter 2005.

22.     K. Rahul, S. Anupam and T. Ritu, "Fuzzy Neuro Systems for Machine Learning for Large Data Sets," Proc. of the IEEE Int. Adv. Computing Conf. 6-7, Patiala, India, pp.541-545, 2009.

23.     C. Juang, R. Huang and W. Cheng, "An interval type-2 fuzzy-neural network with support-vector regression for noisy regression problems," IEEE Trans. on Fuzzy Systems, vol. 18, no. 4, pp. 686 - 699, 2010.

24.     C. Juang, Y. Lin and C. Tu, "Recurrent self-evolving fuzzy neural network with local feedbacks and its application to dynamic system processing," Fuzzy Sets and Systems, vol. 161, no. 19, pp. 2552-2562, 2010.

25.     I. Dumitrache, Ingineria Reglarii Automate (Automatic Control Engineering), Bucuresti, Politehnica Press, 2005.

26.     RR Yager, LA. Zadeh, Fuzzy Sets, Neural Networks, and Soft Computing. New York: Van Nostrand Reinhold, 1994.

27.     Carlos Andre´s Pen˜a-Reyes, Moshe Sipper "A fuzzy-genetic approach to breast cancer diagnosis", Artificial Intelligence in  Medicine, vol. 1, no 2, pp. 131-155, Oct. 1999.

28.     Yuan-Hsiang Chang, BinZheng, Xiao-Hui Wang, Walter F. Good "Computer-aided diagnosis of breast cancer using artificial neural networks: Comparison of Backpropagation and Genetic Algorithms", in Int. Joint Conf Neural Networks UCNN' 99, 1999, vol. 5,  pp. 3674-3679.

29.     T. Kiyan, T Yildirim. "Breast cancer diagnosis using statistical neural networks", J. of Elect. & Electron. Eng., vol .4-2, 2004, pp. 1149- 1153. 

30.     R. R. Janghel, A. Shukla, R. Tiwari, and R. Kala,  "Breast cancer diagnostic system using symbiotic adaptive neuro-evolution (SANE)" in Proc. Int. conf.  of Soft Computing and Pattern Recognition 2010 (SoCPaR-2010), ABV-IIITM, Gwalior, 7th-10th Dec., pp. 326-329.

31.     M. Ashraf, L. Kim and H. Xu., "Information gain and adaptive neuro-fuzzy inference system for breast cancer diagnoses", in Proc. Comput. Sci. Convergence Inform. Tech. 2010 (ICCIT-2010), IEEE, Seoul , 30th Nov.-2nd Dec., pp. 911 - 915.

32.     V. Bevilacqua, G. Mastronardi,  F. Menolascina "Hybrid data analysis methods and artificial neural network design in breast cancer diagnosis: IDEST experience", in Proc. Int. Conf. on Intelligent Agents, Web Technologies and Internet Commerce and Int. Conf. on Computational Intelligence for Modeling, Control Automation 2005 (CIMCA-2005), 28th-30th Nov., IEEE, Vienna,  pp. 373-378.

33.     W. Land, and E. Veheggen, "Experiments using an evolutionary programmed neural network with adaptive boosting for computer aided Diagnosis of breast cancer", in Proc.  IEEE Int. Workshop on Soft Computing in Ind. Application, 2003 (SMCia-2003), Finland,  23rd-25th June,  pp. 167-172. 

34.     P. Meesad and G. Yen., "Combined numerical and linguistic knowledge representation and Its application to medical diagnosis",  IEEE transactions on Syst., Man and Cybernetics, Part A: Syst. and Humans, vol. 3, no.2, pp. 206-222.

35.     G. Arulampalam, and A. Bouzerdoum, "Application of shunting inhibitory artificial neural networks to medical diagnosis", in Proc. 7th Australian and New Zealand Intelligent Inform. System Conf. 2001, IEEE, Perth, 18th-21st Nov., 2001, pp. 89 -94.

36.     Breast Cancer Wisconsin Data [online]. Available: http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data.

37.     Dr. K. U. Rani, "Parallel Approach for Diagnosis of Breast Cancer using Neural Network Technique" Int. J. of Comput. Applicat., vol. 10, no. 3, pp. 0975 - 8887,  Nov. 2010.


234-237

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

50.

Authors:

D.Jayanthi, M.Bommy

Paper Title:

Vision-based Real-time Driver Fatigue Detection System for Efficient Vehicle Control

Abstract:    In modern days, a large no of automobile accidents are caused due to driver fatigue. To address the problem we propose a vision-based real-time driver fatigue detection system based on eye-tracking, which is an active safety system. Eye tracking is one of the key technologies, for, future driver assistance systems since human eyes contain much information about the driver's condition such as gaze, attention level, and fatigue level. Face and eyes of the driver are first localized and then marked in every frame obtained from the video source. The eyes are tracked in real time using correlation function with an automatically generated online template. Additionally, driver’s distraction and conversations with passengers during driving can lead to serious results. A real-time vision-based model for monitoring driver’s unsafe states, including fatigue state is proposed. A time-based eye glance to mitigate driver distraction is proposed.

Keywords:
   Driver fatigue, Eye-Tracking, Template matching, Fatigue Detection.


References:

1.       Marco Javier Flores, Jose Maria Armingol, and Arturo de la Escalera(2010), “Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions,” EURASIP Journal on “Advances in Signal Processing”, Vol 2010 (2010), Article ID 438205.
2.       Hawlader Abdullah Al-Mamun, Nadim Jahangir, Md. Shahedul Islam and Md. Ashraful Islam(2009), “Eye Detection in Facial Image by Genetic Algorithm Driven Deformable Template Matching,” IJCSNS International Journal of Computer Science and Network Security, Vol 9, Issue 8, August 2009, Page(s): 287-294.

3.       Wen-Bing Horng, Chih-Yuan Chen, Yi Chang, Chuu-Hai Fan, (2004), “Driver Fatigue Detection Based on Eye Tracking and Dynamic Template Matching,” IEEE Proceedings of International Conference on “Networking, Sensing & Control”, Taipei, Taiwan.

4.       Wenhui Dong,  Xiuojuan Wu, (2005), “Driver Fatigue Detection Based on the Distance of Eyelid,” IEEE Int. Workshop on “VLSI Design & Video Tech.”,  Issue May 28-30,2005, Page(s):365-368.

5.       Ling Gan, Bing Cui and Weixing Wang, (2006), “Driver Fatigue Detection Based on Eye Tracking,” IEEE Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21-23,2006, pp.5341-5344.

6.       Tianyi Hong, Huabiao Qin and Qianshu Sun, (2007), “An Improved Real Time Eye State Identification System in Driver Drowsiness Detection,” IEEE International Conference on “Control and Automation”, May 30-June 1, 2007, page(s): 1449-1453.

7.       Jie Tang, Zuhua Fang, Shifeng Hu, Ying Sun, (2010), “Driver Fatigue Detection Algorithm Based on Eye Features,” IEEE proceedings of 2010 Seventh International Conference on “Fuzzy Systems and Knowledge Discovery” (FSKD 2010).

8.       Yung-Lung Kuo, Jiann-Shu Lee, Sho-Tsung Kao(2009), “Eye Tracking in Visible Environment”, 2009 Fifth International Conference on

9.       “Intelligent Information Hiding and Multimedia Signal Processing”, pp.114-864.

10.     Jianxiong Tang, Jianxin Zhang,(1988), “Eye Tracking Based on Grey Prediction,” 2009 First International Workshop on Education Technology and Computer Science,”  pages:861-864.


238-242

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

51.

Authors:

Balwinder Singh Surjan

Paper Title:

Large Signal and Small Signal Stability of  Single Machine Infinite System using Dynamic Brake and Static Shunt Compensator

Abstract:    In this paper thyristor controlled dynamic brake and static shunt compensator controllers are employed to enhance the transient and small signal stability investigation stability of power system represented through Single Machine connected to Infinite Bus (SMIB). The Phillips-Heffron representation of SMIB system is also modified for reactive power inclusion. The controllers Power System Stabilizer (PSS), Static Shunt Compensator (SSC), Thyristor Controlled Dynamic Brake (TCDB) are tuned for the minimization of performance index.  The results obtained here indicate explicitly that the coordinated operation of proposed controllers is effective in improving transient as well as small signal stability of the system.

Keywords:
   ISE, PSS, SMIB, SSC, SVC, TCDB.


References:

1.       S. S. Joshi, Dr. Tamaskar, “Augmentation Of Transient Stability Limit Of A Power System By Automatic Multiple Application Of Dynamic Braking,” IEEE Trans. on Power system and apparatus, Vol-PAS-104, No.11, Nov 1985, pp. 3004-3012.
2.       A. H. M. A. Rahim, et al, “Optimal Switching Of Dynamic Braking Resistor, Reactor Or Capacitor For Transient Stability Of Power Systems,” IEE Proceedings–C, Vol.138, No.1, January 1991, pp.89-93.

3.       T. K. Nag Sarkar, C. S. Rao, “Some Aspects Of Transient Stability Improvement With Thyristor Controlled Dynamic Brake,” IEEE Winter Power Meeting Paper No.A 80 004–2 winter meeting , Feb 1980.

4.       M.S.Moorty, et al, “Generalized Design Of Damping Control,” Power systems for the year 2000 and beyond, Proc. of Sixth National Power Systems Conference, I.I.T./ I.G.I.D.R.Bombay, June 4-7,1990,Published by Tata McGraw-Hill Publishing Company Ltd., New Delhi, pp. 220-226.

5.       N.K.Sharma, B.Das, et al, “Coordinated Control Of PSS And SVC For Small Signal Stability Improvement,” Emerging Trends in Power Systems Proc.of VIII N.P.S.C., I.I.T.Delhi, Allied Publishers Ltd., New Delhi, Dec –14-17,1994, pp. 520-525.

6.       P.M Anderson, A.A Fouad, Power System Control and Stability, IEEE Press , 1997.

7.       Peter.W.Sauer, M.A.Pai, “Power System Dynamics And Stability,” Published by Pearson Education (Singapore) Pte. Ltd., Indian Branch, 482 F.I.E. Patparganj Delhi, 1st Indian Reprint ,  2002.

8.       E. V. Larsen, D. A. Swann, “Applying Power System Stabilizers Part-III: Practical Considerations,” IEEE Trans. on Power system and apparatus, Vol.PAS-100, No.6, June 1981, pp.3034-3046.

9.       T. Hiyama, et al, “Fuzzy Logic Switching Of Thyristor Controlled Braking Resistor Considering Coordination With SVC,”IEEE Trans.On Power Delivery, Vol.10, No.4, Oct 1995, pp.2020-2026.

10.     C. S. Rao, T. K. Nag Sarkar, “Transient Stability Improvement With Thyristor Controlled Braking Device,” IEEE Winter Power Meeting Paper No. A 80 079 –4, Feb 1980.

11.     C. S. Rao, T. K. Nag Sarkar, “Halfwave Thyristor Controlled Dynamic Brake To Improve Transient Stability ,” IEEE Summer Power Meeting Conference Paper No.83 SM 386-0, July 1983.

12.     H.F.Wang, F.J.Swift, “ A Unified Model for the Analysis of FACTS Devices in Damping Power System Oscillations Part I: Single-Machine Infinite Bus Power System,” IEEE Trans. on Power Delivery,Vol.12,No.2, April 1997, pp.941-946.

13.     M. Gopal, “ Control Systems, Principles and Design,” 2nd edition, New Delhi: Tata Mc-Graw Hill Publishing Company Ltd..,1997.

14.     Richard C Drof, Robert H. Bishop, “ Modern Control Systems,” 8th edition: Addisn Wesley Longman Singapore Pte. Ltd. 1999.

15.     Narain Hingorani, et al, “Understanding FACTS: Concepts And Technology Of Flexible AC Transmission Systems,” IEEE Press Standard Publisher Distributors, Delhi-110006,1st Indian Edition,2001.

16.     Katsuhiko Ogata, “Modern Control Engineering,”  2nd edition, New Delhi : Prantice Hall of India Pvt. Ltd. , 1995.

17.     A. Chakarbarti, “ Fundamentals of Power Electronics and Drives,” 1st edition , Delhi: Publisher Dhanpat Rai and Co. Pvt. Ltd. ,2002.

18.     P. Kundur, “Power system stability and control” New York: McGraw- Hill, 1994.

19.     L.Anguist et.al., “Power Oscillation Damping Using Controlled Reactive Power Compenstion- A Comparison Between Series and Shunt Approaches,” IEEE Trans. On Power Systems, Vol.8, No. 2, May 1993, pp 687-700

20.     P.M Anderson, A.A Fouad, Power System Control and Stability, IEEE Press , 1997.

21.     K. R Padiyar, “Power System Dynamics: Stability and Control”, 2nd Edition., Hyderabad, India : B.S.Publications


243-248

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

52.

Authors:

Ar Anuj Jaiswal, Ashutosh Sharma, Jigyasa Bisaria

Paper Title:

Estimation of Public Transport Demand in Million Plus Indian Cities based on Travel Behavior

Abstract:    The rapid growth in vehicles population has put enormous strains in all urban roads in Indian cities with population between 1 to 2 million. The major factors influencing public transport ridership are poor service quality and more traveling time. This study presents a quantitative model and identified the factors that affect the public transport ridership. A weighed regression model using data of public preferences in travel time, travel cost, and other quality related parameters is build and probability of two wheeler users switching over to public transport is estimated. With this model, the expected increase in public transport ridership for Bhopal and similar Indian cities can be approximated. This model can also assist transport planners and service providers to find innovative and financially viable solutions for better public transport facilities.

Keywords:
   Public transport demand estimation, travel behavior, demand parameters


References:

1.        Pucher, J & Ittyerah, N 2004, 'The crises of public transport in India: Overwhelming needs but limited resources', Journal of Public Transportation, vol. 7, no. 4, pp 1-20
2.        Akshima, T and Sunder, S 2010, A Focus on the Passenger Transport Sector in Million-Plus Cities, India Infrastructure Report

3.        Sing, S K 2005 'Review of Urban Transport in India", Journal of Public Transport, Vol 8, pp. 67-88

4.        Balcombe, R and Paulley, N 2004, 'Demand of Public Transport: A Practical Guide' TRL Report 2004, TRL Limited, Great Britain

5.        Kittelson & Associates 2003, Transit Capacity and Quality of Service Manual, Report 100, Transit Cooperative Research Program, Transportation Research Board.

6.        Muthukannan, M and Thirumurthy A (April 2008) 'modelling for Optimization of Urban Transit System Utility', ARPN Journal of Engineering and Applied Sciences, vol.3, no.2, pp. 71-74

7.        BCEOM 2009, Study of Bus Rapid Transit system for  Bhopal", Bhopal municipal corporation

8.        Jaiswal, A and Sharma, A 2012, "Optimisation of Public transport demand: case study of Bhopal", International Journal of Scientific and Research Publication, vol 2, issue 7,pp 1-16 

9.        Wilbur Smith Associates 2008, Study on traffic and Transportation Policies and Strategies in Urban Areas in India final report, Ministry of Urban Development, India


249-254

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

53.

Authors:

Sandeep Dhariwal, Vijay K. Lamba, Ritu Vijay

Paper Title:

CNT – A Solution for Interconnects

Abstract:    In this paper we have studied the properties of CNT as interconnects and calculated the parameters to analyse our results through table and plots. Due to their excellent electrical properties and small size, metallic carbon nanotubes (CNTs) are promising materials for interconnect wires in future integrated circuits. Simulations have firmly established CNTs as strong contenders for replacing or complementing copper interconnects. As copper wires are scaled down to narrow dimensions to keep up with the miniaturization of the transistors according to Moore's Law, they suffer from adverse narrow-width effects degrading the chip performance. In the long term, the introduction of another interconnects material as a replacement for copper might be the solution. In this review paper, CNTs offer great promises as alternative interconnect materials.  

Keywords:
   CNT, SWCNT, MWCNT, RLC Model.


References:

1.        International Technology Roadmap for Semiconductors, 2004, http://public.itrs.net
2.        W. Steinhogl, et al., “Size-dependent Resistivity of Metallic Wires in the Mesoscopic Range,” Physical Review B, 66, 075414, 2002.

3.        N. Srivastava and K. Banerjee, “A Comparative Scaling Analysis of Metallic and Carbon Nanotube Interconnections for Nanometer Scale VLSI Technologies”, Proc. 21st Intl. VLSI Multilevel Interconnect Conf., 2004, pp. 393-398.

4.        F. Kreupl, et al., “Carbon Nanotubes in Interconnect Applications,” Microelectronic Engineering, 64 (2002), pp. 399- 408.

5.        J. Li, et al., “Bottom-up Approach for Carbon Nanotube Interconnects,” Applied Physics Letters, Vol. 82, No. 15, pp. 2491-2493, April 2003.

6.        B. Q. Wei, et al., “Reliability and Current Carrying Capacity of Carbon Nanotubes,” Applied Physics Letters, Vol. 79, No. 8, pp. 1172-1174, 2001.

7.        P. G. Collins, et al., “Current Saturation and Electrical Breakdown in Multiwalled Carbon Nanotubes,” Physical Review Letters, Vol. 86, No. 14, pp 3128-3131, 2001.

8.        S. Berber, et al., “Unusually High Thermal Conductivity of Carbon Nanotubes,” Physical Review Letters, Vol. 84, No. 20, pp. 4613-4616, 2000.

9.        P. L. McEuen, et al., “Single-Walled Carbon Nanotube Electronics,” IEEE Trans. Nanotechnology, Vol. 1, No. 1, pp. 78-85, 2002.

10.     C. Schonenberger, et al., “Interference and Interaction in Multi-wall Carbon Nanotubes”, Applied Physics A,              69, pp.283-295, 1999.

11.     A. Bachtold, et al., “Scanned Probe Microscopy of Electronic Transport in Carbon Nanotubes”, Physical Review Letters, Vol. 84, No. 26, pp. 6082-6085, 2000.

12.     S. Im, et al., “Scaling Analysis of Multilevel Interconnect Temperatures for High Performance ICs,” IEEE TED, Vol. 52, No. 12, pp. 2710-2719, 2005.

13.     N. Srivastava and K. Banerjee, “A Comparative Scaling Analysis of Metallic and Carbon Nanotube Interconnections for Nanometer Scale VLSI Technologies”, Proc. VMIC, Sept. 2004, pp. 393-398. 

14.     International Technology Roadmap for Semiconductors, 2004, (http://public.itrs.net).

15.     W. Steinhogl, et al., “Comprehensive Study of the Resistivity of Copper Wires With Lateral Dimensions of 100 nm and Smaller,” J. of Applied Physics, Vol. 97, No. 2, 023706-1 – 023706-7, 2005.

16.     V. Agarwal, M. S. Hrishikesh, S.W. Keckler, and D. Burger, “Clock rate versus ipc: the end of the road for conventional micro architectures,” In ISCA ’00: Proceedings of the 27th Annual International Symposium on                Computer Architecture, pages 248.259. ACM Press, 2000.

17.     S. Im, N. Srivastava, K. Banerjee, and K. E. Goodson, “Scaling analysis of multilevel interconnect temperatures for high performance ics,”. Proceedings of the IEEE Transactions on Electron Devices,                 52(12):2710.2719, December 2005.

18.     Interconnect Report. International Technology Roadmap for Semiconductors (ITRS), 2006.

19.     R. Kumar, V. Zyuban, and D. M. Tullsen, “Interconnections in multi-core architectures: Understanding mechanisms, overheads and scaling,”. In ISCA ’05: Proceedings of the 32nd Annual International Symposium on Computer Architecture, pages 408.419. IEEE Computer Society, 2005.

20.     www.itrs.net/Links/2007ITRS/2007.

21.     Dresselhaus, M.S., Dresselhaus, G. and Avouris, P., Carbon Nanotubes: Synthesis, Structure, Properties and Applications. New York: Springer- Verlag, 2001. www.springer.com

22.     Wu, W. and Maex, K., “Studies on size effects of copper interconnect lines,” in Proc. Solid-State and Integrated-Circuit Technology, Shanghai, China, vol. 1, pp. 416–418 Oct. 2001.

23.     A. Nieuwoudt and Y. Massoud, “Evaluating the impact of resistance in carbon nanotube bundles for VLSI interconnect using diameter-dependent modeling techniques,” Electron Devices, IEEE Transactions on, vol. 53, pp. 2460-2466, 2006.

24.     M. S. Dresselhaus, G. Dresselhaus, and P. Avouris, “Carbon nanotubes: synthesis, structure, properties, and applications,” Berlin; New York: Springer, 2001.

25.     H. J. Li, W. G. Lu, J. J. Li, X. D. Bai, and C. Z. Gu, “Multichannel ballistic transport in multiwall carbon nanotubes,” Physical Review Letters, vol. 95, pp. 086601-4, 2005.

26.     M. Nihei, D. Kondo, A. Kawabata, S. Sato, H. Shioya, M. Sakaue, T. Iwai, M. Ohfuti, and Y. Awano, “Low-resistance multi-walled carbon nanotube vias with parallel channel conduction of inner shells,” in Proc. IEEE Int. Interconnect Tech. Conf., 2005, pp. 234-236.

27.     X. Zhou, J.-Y. Park, S. Huang, J. Liu, and P. L. McEuen, “Band Structure, Phonon Scattering, and the  Performance Limit of Single-Walled Carbon Nanotube Transistors,” Physical Review Letters, vol. 95, pp.  146805-4, 2005.

28.     A. Naeemi and J. D. Meindl, “Compact Physical Models for Multiwall Carbon-Nanotube Interconnects,” Electron Device Letters, IEEE, vol. 27, pp. 338-340, 2006.

29.     J. Jiang, J. Dong, H. T. Yang, and D. Y. Xing, “Universal expression for localization length in metallic carbon nanotubes,” Physical Review B, vol. 64, pp. 045409, 2001.

30.     P. L. McEuen, M. S. Fuhrer, and P. Hongkun, “Single-walled carbon nanotube electronics,” Nanotechnology, IEEE Transactions on, vol. 1, pp. 78-85, 2002.

31.     S. Iijima and T. Ichihashi, “Single-Shell Carbon Nanotubes Of 1-Nm Diameter,” Nature, vol. 363, pp.  603-605, 1993.              

32.     D. S. Bethune, C. H. Kiang, M. S. Devries, G. Gorman, R. Savoy, J. Vazquez, and R. Beyers, “Cobalt Catalysed Growth Of Carbon Nanotubes With Single-Atomic-Layerwalls,” Nature, vol. 363, pp. 605-607,   1993.

33.     S. J. Tans, M. H. Devoret, H. Dai, A. Thess, R. E. Smalley, L. J. Georliga, and C. Dekker, “Individual single-wall carbon nanotubes as quantum wires,” Nature, vol.
386, pp. 474-7, 1997.

34.     M. Bockrath, D. H. Cobden, P. L. McEuen, N. G. Chopra, A. Zettl, A. Thess, and R. E. Smalley, “Single-electron transport in ropes of carbon nanotubes,” Science, vol. 275, pp.1922-5, 1997. 

35.     S. J. Tans, R. M. Verschueren, and C. Dekker, “Room temperature transistor based on a single carbon nanotube,” Nature, vol. 393, pp.49-52, 1998.

36.     N. Hamada, S. Sawada, and A. Oshiyama, “New One-Dimensional Conductors - Graphitic Microtubules,” Physical Review Letters, vol. 68, pp. 1579-1581, 1992.

37.     R. Saito, M. Fujita, G. Dresselhaus, and M. S. Dresselhaus, “Electronic structure of chiral graphene tubules,” Applied Physics Letters, vol. 60, pp. 2204-6, 1992.

38.     T. W. Odom, H. Jin-Lin, P. Kim, and C. M. Lieber, “Atomic structure and electronic properties of single-walled carbon nanotubes,” Nature, vol. 391, pp. 62-4, 1998.

39.     J. W. G. Wildoer, L. C. Venema, A. G. Rinzler, R. E. Smalley, and C. Dekker, “Electronic structure of atomically resolved carbon nanotubes,” Nature, vol. 391, pp. 59- 62, 1998.

40.     Y. Xu and A. Srivastava, “A Model of Multi-Walled Carbon Nanotube Interconnects,” in Proc. 52nd IEEE International Midwest Symposium on Circuits and Systems, 2009.

41.     H. J. Li, W. G. Lu, J. J. Li, X. D. Bai, and C. Z. Gu, “Multichannel ballistic transport in multiwall carbon nanotubes,” Physical Review Letters, vol. 95, no. 8, Article ID 086601, 4      pages, 2005.

42.     Choe, H.S., et al, “MOCVD TiN Diffusion Barriers for Copper Interconnects,” IITC, 1999, p 62.

43.     Ashtiani, K., et al, “Pulsed Nucleation Layer of Tungsten Nitride Barrier Film and its Application to DRAM and Logic Manufacturing,” Semi Tech. Symposium, Semicon Korea 2006.

44.     Chen, Y.C., et al, “Optimizing ALD WN Process for 65nm Node CMOS Contact Application” IITC, 2007, p 105. 

45.     Shao, I. et al, “An Alternative Low Resistance MOL Technology with Electroplated Rhodium as Contact Plugs for 32nm CMOS and Beyond.” IITC, 2007, p 102.

46.     Edelstein, D., et al, “A High Performance Liner for Copper Damascene Interconnects,” IITC, 2001, p 9.

47.     Jiang, O-T., et al, “Investigation of Ta, TaN and TaSiN Barriers for Cu Interconnects,” IITC, 1999, p 125.

48.     Vijayendran, A., et al, “Copper Barrier Properties of Ultrathin PECVD WN,” IITC, 1999, p 123.

49.     Haukka, S., et al, “Deposition of Cu Barrier and Seed Layers with Atomic Layer Control,” IITC, 2002, p 279. 

50.     Mori, K., et al, “A New Barrier Metal Structure with ALD-TaN for Highly Reliable Cu Dual Damascene Interconnects” Proceedings of AMC, pp. 693, 2004.

51.     Rossnagel, S.M., et al, “From PVD to CVD to ALD for Interconnects and Related Applications,” IITC, 2001, p 3.  

52.     Van der Straten, O., et al, “Thermal and Electrical Barrier Performance Testing of Ultrathin Atomic Layer Deposition Tantalum-Based Materials for Nanoscale Copper Metallization,” IITC, 2002, p 188.

53.     Watanabe, T., et al “Self-Formed Barrier Technology using CuMn Alloy Seed for Cu Dual-Damascene Interconnect with Porous-SiOC/ Porous-Par Hybrid Dielectric,” IITC, 2007, p 7.

54.     Hu, C.K., et al, “A Study of Electromigration Lifetime for Cu Interconnects Coated with CoWP, Ta/TaN, or SiCxNyHz,” Proceedings of AMC, 2003, p 253.

55.     Gosset, L., et al, “Self Aligned Barrier Approach: Overview on Process, Module Integration and Interconnect Performance Improvement Challenges”, IITC, 2006, p 84. 

56.     Demuynck, S., et al, “Impact of Cu Contacts on Front End Performance: A Projection Towards 22nm Node”, IITC, 2006, p 178. 

57.     Clevenger, L., et al, “A Novel Low Temperature CVD/PVD Al Filling Process for Producing Highly Reliable 0.175 μm Wiring/0.35 um Pitch Dual Damascene Interconnections in Gigabit Scale DRAMS,” IITC, 1998, p 137. 

58.     Edelstein, D., et al, “Full Copper Wiring in a Sub-0.25 μm CMOS ULSI Technology,” Tech. Digest IEEE IEDM Meeting, 1997, p 773.

59.     Heidenreich, J., et al, “Copper Dual Damascene Wiring for Sub-0.25 μm CMOS Technology,” IITC, 1998, p 151. 

60.     Reid, J., et al, “Optimization of Damascene Feature Fill for Copper Electroplating Process,” IITC, 1999, p 284.

61.     Tada, M. et al, “A Metallurgical Prescription for Electromigration (EM) Reliability Improvement in Scaled-down, Cu Dual Damascene Interconnects”, IITC, 2006, p 89. 

62.     Kuan, T.S., et al, “Fabrication and Performance Limits of Sub-0.1 Micrometer Cu Interconnects,” Mat. Res. Soc. Symp. Proc., 2000, Vol. 612, D7.1.1

63.     Jiang, O-T., et al, “Line Width Dependency of Copper Resistivity,” IITC, 2001, p-227.

64.     Schindler, G., et al, “Assessment of Future Nanoscale Interconnects: Resistivity of Copper and Aluminum Lines,” Proceedings of AMC, 2004, p 305

65.     H. Stahl, et al., “Intertube Coupling in Ropes of Single-Wall Carbon Nanotubes”, Physical Review Letters, Vol. 85, No. 24, pp. 5186-5189, 2000.

66.     P. J. Burke, “Luttinger Liquid Theory as a Model of the Gigahertz Electrical Properties of Carbon Nanotubes”, IEEE Trans. Nanotechnology, Vol. 1, No. 3, pp. 129-
         144,  2002. 67.     S. Datta, “Electrical Resistance: An Atomistic View,”  Nanotechnology, Vol. 15, S433-S451, 2004.

68.     J. Kong, et al., “Quantum Interference and Ballistic Transmission in Nanotube Electron Waveguides”, Physical Review Letters, Vol. 87, No. 10, 106801, 2001.

69.     J.-Y. Park, et al., “Electron-Phonon Scattering in Metallic Single-Walled Carbon Nanotubes”, Nano Letters, Vol. 4, No. 3, pp. 517-520, 2004.

70.     S. Datta, “Electronic Transport in Mesoscopic Systems”, Cambridge University Press, Cambridge, 1995.

71.     Th. Hunger, et al., “Transport in Ropes of Carbon Nanotubes: Contact Barriers and Luttinger Liquid Theory,” Physical Review B, Vol. 69, 195406, 2004.

72.     W. Liang, et al., “Fabry-Perot interference in a Nanotube Electron Waveguide”, Nature, Vol. 411, pp. 665-669, 2001. 

73.     Z. Yao, et al., “High Field Electrical Transport in Single-Wall Carbon Nanotubes,” Physical Review Letters, Vol. 84, No. 13, pp. 2941-2944, 2000.

74.     A. Naeemi, et al., “Performance Comparison between Carbon Nanotube and Copper Interconnects for Gigascale Integration (GSI),” IEEE Electron Device Letters, Vol. 26, No.2, pp. 84-86, 2005.

75.     M. W. Bockrath, “Carbon Nanotubes: Electrons in One Dimension”, Ph. D. Dissertation, Univ. of California, Berkeley, 1999.

76.     J.-Y. Park, et al., “Electron-Phonon Scattering in Metallic Single-Walled Carbon Nanotubes”, Nano Letters, Vol. 4, No. 3, pp. 517-520, 2004.


255-262

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

54.

Authors:

Krishankant, Jatin Taneja, Mohit Bector, Rajesh Kumar

Paper Title:

Application of Taguchi Method for Optimizing Turning Process by the effects of Machining Parameters

Abstract:    This paper reports on an optimization of turning process by the effects of machining parameters applying Taguchi methods  to improve the quality of manufactured goods, and engineering development of designs for studying variation. EN24 steel is used as the work piece material for carrying out the experimentation to optimize the Material Removal Rate. The bars used are of diameter 44mm and length 60mm. There are three machining parameters i.e. Spindle speed, Feed rate, Depth of cut. Different experiments are done by varying one parameter and keeping other two fixed so maximum value of each parameter was obtained. Operating range is found by experimenting with top spindle speed and taking the lower levels of other parameters. Taguchi orthogonal array is designed with three levels of turning parameters with the help of software Minitab 15. In the first run nine experiments are performed and material removal rate (MRR) is calculated. When experiments are repeated in second run adain MRR is calculated. Taguchi method stresses the importance of studying the response variation using the signal–to–noise (S/N) ratio, resulting in minimization of quality characteristic variation due to uncontrollable parameter. The metal removal rate was considered as the quality characteristic with the concept of "the larger-the-better". The S/N ratio for the larger-the-better Where n is the number of measurements in a trial/row, in this case, n=1 and y is the measured value in a run/row. The S/N ratio values are calculated by taking into consideration with the help of software Minitab 15. The MRR values measured from the experiments and their optimum value for maximum material removal rate. Every day scientists are developing new materials and for each new material, we need economical and efficient machining. It is also predicted that Taguchi method is a good method for optimization of various machining parameters as it reduces the number of experiments. From the literature survey,it can be seen that there is no work done on EN24 steel. So in this project the turning of EN24 steel is done in order to optimize the turning process parameters for maximizing the material removal rate. 

Keywords:
   Taguchi Method, Machining Parameters, Turning Process, EN24 Steel, Software Minitab15


References:

1.        Nishant Kumar (2008), “Optimizing The Cutting Parameters Using Taguchi Method To Reduce The Cutting Tool Vibration” Thesis (2008)
2.        Umesh Khandey, “Optimization Of Surface Roughness, Material Removal Rate And Cutting Tool Flank Wear In Turning Using Extended Taguchi Approach”

3.        Sijo M.T and Biju.N (2010), “Taguchi Method for Optimization of Cutting Parameters in Turning Operations” Proc. of. Int. Conf.on Advances in Mechanical Engineering 2010.

4.        Dhavamani and Alwarsamy (2011), “Optimization of Cutting Parameters of Composite Materials using Genetic Algorithm” European Journal of Scientific Research ISSN 1450-216X Vol.63 No.2 (2011), pp.279-285.

5.        Yigit et al. (2011), “Multi-Objective Optimization of the Cutting Forces in Turning Operations Using the Grey-Based Taguchi Method” ISSN 1580-2949.

6.        Kamal, Anish and M.P.Garg (2012), “Experimental investigation of Material removal rate in CNC turning using Taguchi method”International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 2,Mar-Apr 2012, pp.1581-1590

7.        Rama and Padmanabhan. G (2012), “Application of Taguchi methods and ANOVA in optimization of process parameters for metal removal rate in electrochemical machining of Al/5%SiC composites” International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 3, May-Jun 2012, pp. 192-197

8.        Ballal, Inamdar and Patil P.V. (2012), “Application Of Taguchi Method For Design Of Experiments In Turning Gray Cast Iron ” International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 3, May-Jun 2012, pp.1391-1397 36

263-274

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

55.

Authors:

C.Thippeswamy, J.Chinna Babu, K.Padmapriya

Paper Title:

Emulator for FPGA based RADAR signal processing

Abstract:    The present day RADARs use complex schemes such as stagger PRI, jitter PRI along with frequency agile characteris-tics. The frequency agile RADARs switch frequencies with in a pulse to get different types of advantages.  Today lot of RADAR (Radio Detection and Ranging) signal processing takes place on FPGA(Field Programming Gate Array) platform.Th-se signal processing algor-thms include pulse parameters estimation, deint-erleaving of mixed pulse patterns, processing complex chirp signals etc. All these algorithms need to be tested at various levels before they get integrated in to final system. However today no technique or solution available by which, these algoritms can be tested on FPGA with realistic signals. In this project a RADAR signal emulator will be built which can generate the samples even corresponding to multiple complex RADARs at a time. Since FPGA is a parallel platform this emulation is possible. The complete project development consists of mainly two modules, the scenario creator and control logic. The control logic communicates with PC using serial port to capture the parameters set by the user in PC. These parameters are loaded into respective source simulator modules. Each source simulator module consists of NCO for digital carrier generation and pulse modulator. The NCO is programmable to generate all types of frequency agile signals in real time. A top level module consists of all these blocks and will be synthesized to Xilinx FPGAs. The final FPGA output will be demonstrated in real-time with Chip scope

Keywords:   RADAR,FPGA, PRI, Jitter PRI, Emulator.


References:

1.        Byron Edde, RADAR- Principles, Technology, Applications.
2.        Simon Kingsley, Shaun Quegan.-  Understanding  Radar systems

3.        Merill Skolnik - Introduction to Radar Systems, 2nd edition, McGraw Hill, 1980

4.        JR Klauder AC Price, S.darlington and WJalbersheim,”The Theory and Design of Chirp Radars” bell syst.tech j, volume 39pp745-808.

5.        Nadav Levanon and Eli Mozenson Radar Signals IEEE Press, Wiley Inter science 2004


275-278

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

56.

Authors:

Wadhwa Preeti, Vinita Wadhwa,  Sandhya Bhavsar

Paper Title:

Image Processing

Abstract:    It is truly said “a picture is worth a thousand words, but an image is worth a thousand pictures”. an image .Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image. It is the manipulation of numeric data contained in a digital image for the purpose of enhancing its visual appearance. Through image processing, faded pictures can be enhanced. Originally developed for space exploration and biomedicine, image processing and analysis are now used in a wide range of industrial, artistic, and educational applications. An image processing can be digital, optical or  analog image processing.

Keywords:
   Image restoration, Spatial filters, Frequency domain filters, Geometric transform.


References:

1.       http://en.wikipedia.org/wiki/Image_processing.
2.       https://www.spacetelescope.org/static/projects/fits_liberator/image_processing.pdf.

3.       R.S. Sedha; A Textbook Of Applied Electron; Edition 2

4.       ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6329991

5.       Z. G. Li, J. H. Zheng, and S. Rahardja Image and Video Synthesis, Rendering, and Visualization:;IEEE explore.published

6.       Y.-M. Huang, L. Moisan, M. K. Ng, and T. Zeng: Multiplicative Noise Removal via a Learned Dictionary; published.


279-281

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

57.

Authors:

A. B. Sawant, M. B. Kumthekar, V. V. Diwan, K. G. Hiraskar

Paper Title:

Experimental Study on Partial Replacement of Cement by Neutralized Red Mud in Concrete

Abstract: Disposal of large quantities of red mud; a solid- waste generated at the Aluminum plants all over the world possess an increasing problem of storage, land cost & availability and pollution. Because of the complex physico-chemical properties of red mud it is very challenging task for the designers to find out the economical utilization and safe disposal of red mud. Due to industrialization, infrastructure development and soft housing policy of Government of India, the construction industry is in full boom due to which within short span of time there is a tremendous increase in the utilization of cement and concrete for various construction activities. It is expected that the same rate will continued in the next decade and this may invite the threat to the environment. Availability of raw material required for manufacturing of cement and production of concrete are limited in nature. This increased demand will lead to fast depletion of natural resources and will cause big threat to environment. So as to overcome this problem it is very much essential to utilize the industrial waste materials and by-products generated in manufacturing of cement and in concrete construction. In this paper the attempt is made to check the effectiveness of neutralized red mud as a partial replacement of portland cement.

Keywords:
   Water conservation, Contour trenches, watershed development, Village pond, Social mapping


References:

1.        Satish Chandra, Waste materials used in Concrete Manufacturing, A reference book. ph 297-343
2.        IS 10262- 2007 Recommended Guidelines for Concrete Mix Design

3.        IS 456- 2000 Plain and Reinforced Concrete - Code of Practice

4.        IS 516- 1959 Methods of Tests for Strength of Concrete

5.        IS 5816- 1999 Splitting Tensile Strength of Concrete -Method of Test

6.        M. L. Gambhir, Concrete Technology (3rd Edition), Published by The McGraw-Hill Companies, New Delhi

7.        M. S. Shetty, Concrete Technology Theory & Practice, Published by S. CHAND & Company, Ram Nagar, New Delhi

8.        B. S. Hamad, Rteil. A. A. and Mutasseem, E. F., “Effect of used engine oil on properties and hardened concrete,” Construction and Building materials, No. 17, 2003, pp. 311-318.

9.        Chandler John: The stacking and solar drying process for disposal of Bauxite Tailing in Jamaica: Proc. Intl. Conference of Bauxite Tailings; Kingston, Jamaica; Oct. 1986.

10.     Claudia Brunori, Carlo Cremisini, Paolo Massanisso, Valentina Pinto, Leonardo Torricelli, Reuse of a treated red mud bauxite waste: studies on environmental compatibility, Journal of Hazardous Materials B117 (2005) 55–63.

11.     Craig Klauber, Markus Grafe and greg Power, Review of Bauxite Residue “Re-Use” Options, CSIRO Document DMR-3609, May 2009 1-77

12.     D.K. Grubbs, S.C. Libby, J.K. Rodenburg, K.A. Wefers, The geology mineralogy and clarification properties of red and yellow Jamaican bauxites, in Proceedings of the Bauxite Symposium IV, J. Geol. Soc. Jamaica (1980) 176–186.

13.     Dr. D S V Prasad, Dr. G V R Prasad Raju & M Anjan Kumar, Utilization of Indusrtial waste in Flexible Pavement Construction, downloaded from www.ejge.com, dated 23-03-2009

14.     Dr. K. K. Jain, S. K. Singh and Laljee Sahu, ‘The Geo Technical properties of Red Mud and Red Mud Lime Mixtures’, Indian Highways, October 2001. ph. 120-127

15.     Dr. R. P. Joshi, V.G.M. Desai and B. S. Shetty, ‘The use of locally available materials for low cost housing’, Proceeding of National seminar on ‘Recent advances in low cost building material and technology’, Anantapur 1992. ph. 214-227

16.     Dr. Y. P. Kakar, ‘Management of Industrial Solid Waste Need for Recycling’, Civil Engineering & Construction Review, February 1998. Ph 67-71

17.     Glannville J.I. Bauxite waste bricks (Jamaica): evaluation report. . IDRC, Ottawa in various pagings-June 1991.

18.     GLOBAL CEMENT to 2020, report on world production and consumption of cement by International cement review.(Dec. 2007), 201-203.

19.     Guelensoy, Hueseyin, Mahramanhoglu, Mehmet. , ‘Studies on the strengths of concretes produced from cements prepared with the addition of red mud’, Cimento ve Beton Dunyasi (1996), 1(3), 17-21.

20.     Hawkins, G. J., Bhatty, J. I and O’Hare, A. T., Cement kiln dust production, management and disposal, Portland Cement Association, PCA, R&D No. 2737, 2003.


282-286

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

58.

Authors:

Gajanan N. Munishwar, Ashok Pise

Paper Title:

Design and Development of Test Rig for Measurement of Frictional Torque of a Half Engine

Abstract:    Automobile Industry is the largest industry in the world. Automotive engines need to be reconditioned after certain running. The frictional torque of a half engine (which consists of cylinder block, pistons with rings and gudgeon pins, connecting rods, crankshaft and bearings) is about 75% to 80 % of the total frictional torque of that engine. The components of new engines are manufactured with high degree of automation and accuracy but the same is not available during their reconditioning. Obviously, due to difference in accuracy of CNC machines and GPMs, a newly manufactured half engine has comparatively less frictional torque than a reconditioned one. This results in somewhat poor performance of a reconditioned engine as compared with the new one. The objective of this research work is to design & develop a test rig which could measure the frictional torque of a reconditioned half engine accurately and to bring quality consciousness in engine reconditioning business.

Keywords:
   Automotive half engine, engine reconditioning, engine performance, frictional torque measurement, measuring test rig.


References:

1.        http://www.mondellotwister.com/Rebuild Your First Engine.pdf /15/12/2011.
2.        Ernest Venk and Water Billiet, “Automotive Engines, Maintenance and Repairs”, D.B Taraporevala Sons and Co. private Ltd. pp. 85,105-121, 159-161.

3.        Verbal discussion with field experts in automobile industry.

4.        William J. Fleming, “Automotive Torque Measurement: A Summary of Seven Different Methods”, IEEE Transactions on Vehicular Technology, Vol. Vt-31, No. 3, August 1982.

5.        Market and field survey in MIDCs of Kolhapur.

6.        Market and field survey in garages of Kolhapur.

7.        TATA Diesel Vehicles Workshop Manual, pp. 01-17


287-289

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

59.

Authors:

Anisaara Nadaph, Vikas Maral

Paper Title:

A Business Model for Hybrid Shared-Nothing and Shared-data Storage and replication Scheme for Large-scale Data Processing

Abstract:    This project is for hybrid storage architecture, to make use of both shared-nothing and shared-disk architectures. The user can either upload file or can just synchronize the original copy from the master computer synchronized before. All the changes made on the original file will be reflected on the file stored on server. All files stored on the cloud server are broken into packets of some definite size and these packets will be distributed on various hard disks this data are replicated using the RAID-1 concept, which are merged as a whole again whenever the user makes an access to the file on the on-line copy or makes changes to the original copy which is synchronized with the application. The packets are encrypted using a block of ECB encrypted cipher text; all the blocks are dependent on all the previous blocks.

Keywords:
   Cloud Computing, Replication, hybrid architecture, DES, CBC..


References:

1.        Huaiming Song, Xian-He Sun, Yong Chen “A Hybrid Shared-nothing/Shared-data Storage Scheme for Large-scale Data Processing” Cluster, Cloud and Grid Computing (CCGrid), 2011 11th IEEE/ACM International Symposium on 23-26 May 2011,  616 – 617
2.        Neha Jain and Gurpreet Kaur “Implementing DES Algorithm in Cloud for Data Security”  VSRD-IJCSIT, Vol. 2 (4), 2012, 316-321

3.        Eman M. Mohamed  “Modern Encryption Techniques for Cloud Computing Randomness and Performance” e Informatics and Systems (INFOS), 2012 8th International Conference on 14-16 May 2012, CC-1 - CC-6

4.        Michale G .Norman  “Much Ado Shared-Nothing” ACM SIGMOD Record Homepage archive Volume 25 Issue 3, Sept. 1996 , 16 – 21

5.        Matthieu Exbrayat “ A Parallel Extension for Existing    Relational Database Management Systems” Information Technology, 1997. BIWIT '97., Proceedings of the Third Basque International Workshop on Digital Object Identifier: 10.1109/BIWIT.1997.614053 , 1997 , 75- 81

6.        David J. DeWitt ““Data placement in shared-nothing parallel database systems”. The VLDB Journal —a G. O. Young, “Synthetic structure of industrial plastics (Book style with paper title and editor),”  in Plastics, 2nd ed. vol. 3, J. Peters, Ed.  New York: McGraw-Hill, 1964, pp. 15–64.

7.        W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.

8.        H. Poor, An Introduction to Signal Detection and Estimation.   New York: Springer-Verlag, 1985, ch. 4.

9.        B. Smith, “An approach to graphs of linear forms (Unpublished work style),” unpublished.

290-295

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

60.

Authors:

M.A.Shabad, S.S.Apte

Paper Title:

Routing Improvement in Wireless Mesh Networks

Abstract:    A wireless mesh network (WMN) has emerged as a wireless backbone for Internet access for next-generation wireless network. In Mesh Network several applications like audio/video conference, vehicular network encourage, require the support of multicast communication with quality-of-service (QoS) guarantee. In multihop Wireless Mesh Network there is frequent link failure caused by various reasons as channel interference, dynamic obstacles, demand of different bandwidths. Because of these link failures the throughput of wireless mesh network severely decreases which is expensive and manual management is required. In this paper we propose a system which will recover from failure links. Channel and radio diversities can be used to generate the new configuration.

Keywords:
   Wireless Mesh Network, Self-Reconfiguration, multi-radio, network-planning.


References:

1.       K. Kim, “Self-Reconfigurable Wireless Mesh Networks,” IEEE/ACM Transaction on networking , pp. 393-404, April 2011
2.       C. Ribeiro, A. Ferworn, J. Tran, “Wireless Mesh Network Performance For Urban Search And Rescue Mission”, International Journal of Computers & Communications (IJCNC Vol2), March 2010.

3.       I. Ferworn, N. Tran, J. Tran et al., "WiFi repeater deployment for improved communication in confined-space urban disaster search", IEEE System of Systems Engineering (SoSE07), 2007, pp. 1-5

4.       Xu-Zhen, 978:1-4244-5539-, “A QoS Multicast Routing in Wireless Mesh Networks”, IEEE 2010

5.       Kyu-Han Kim, Member, IEEE and Kang G. Shin, Fellow, “On Accurate and Asymmetry-aware Measurement of Link Quality in Wireless Mesh Networks”, IEEE 2009

6.       I. Akyildiz, X. Wang, and W. Wang, “Wireless mesh networks: A survey,” Computer Networks, no. 47, pp. 445–487, 2005.

7.       MIT Roofnet, http://www.pdos.lcs.mit.edu/roofnet.

8.       Motorola Inc. Mesh Broadband, http://www.motorola.com/mesh.

9.       P. Kyasanur and N. Vaidya, “Capacity of multi-channel wireless networks: Impact of number of channels and interfaces,” in Proceedings of ACM MobiCom, Cologne, Germany, Aug. 2005.

10.     D. Aguayo, J. Bicket, S. Biswas, G. Judd, and R. Morris, “Link-level measurements from an 802.11b mesh network,” in Proceedings of ACM SIGCOMM, Portland, OR, Aug. 2004.

11.     A. Akella, G. Judd, S. Seshan, and P. Steenkiste, “Self-management in chaotic wireless deployments,” in Proceedings of ACM MobiCom, Cologne, Germany, Sept. 2005.

12.     J.Zhao, H. Zheng, and G.-H. Yang,“Distributed coordination in dynamic spectrum allocation networks,” in Proceedings of IEEE DySPAN, Baltimore, MD, Nov. 2005.

13.     M. J. Marcus, “Real time spectrum markets and interruptible spectrum: New concepts of spectrum use enabled by cognitive radio,” in Proceed- ings of IEEE DySPAN, Baltimore, MD, Nov. 2005.


296-298

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

61.

Authors:

C.Swetha, S.Suganya, V.Shobana, S.Sivaranjini, B.Pradeep Raja

Paper Title:

Collision Vigilant With Automatic Dialer

Abstract:    Security in travel is primary concern for everyone. New generation of cars are improved in such a way that the number of accidents decreases. Innovative ideas has implemented and emerged in order to reduce the risk of accident.This Project describes a design of effective alarm system that can monitor an automotive / vehicle / car condition in travelling. The project name “COLLISION VIGILANT  WITH AUTOMATIC DIALLER”  is designed along with a DTMF to prevent the accident and to inform emergency about an accident that has occurred.

Keywords:
   Sensors,DTMF,Microcontroller 8051


References:

1.        Tujappan M Ladwa, Sanjay M Ladwa,R.Sudharshan Kaarthik,Alok Ranjan  Dhara,Nayan Dalei ”Control of remote domestic  system using DTMF”
2.        Yuchancho And Jaewook Jeon ”Remote robot controll system based on Dtmf of Mobile Phone”  IEEE International conference INDIN 2008,July 2008

3.        Roshan Gosh “Dtmf Based Controller for efficiency improvement of a PV cell and Relay operation”INJERA vol.2,issue 3,May-Jun-2012

4.        www.kpsec.freeuk.com

5.        DTMF tone  generation and detection using UM91214C

6.        The 8051 microcontroller by Ayala

7.        The microcontroller idea book by Jan Axelson

8.        8051 micro-controller architecture, introduction to assembly programming by Parl vallal kannan (centre for integrated circuits and systems University of Texas at Dallas).


299-306

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

62.

Authors:

Rintu Khanna, Pooja Manrai

Paper Title:

Damping of Low frequency Oscillations Using GA based Unified Power Flow Controller

Abstract:    The paper presents a new control method of damping low frequency power system oscillations using Genetic Algorithm (GA) based Unified Power Flow Controller (UPFC) Phillips-Herffron model of a single-machine power system equipped with a UPFC is used to model the system. UPFC controller based upon phase angle of shunt converter (exciter)E  has been designed. The effectiveness of UPFC controller without using GA and GA based UPFC controller (GA-UPFC) has been demonstrated at variable loading conditions.. Respective models have been developed and simulated in Matlab/Simulink. The results of these studies show that the designed controller has an excellent capability in damping power system oscillations.

Keywords:
   UPFC; Genetic Algorithm; Damping controller; Low frequency oscillations


References:

1.       A Nabavi-Niaki and M R Iravani., “Steady-state and Dynamic Models of Unified Power Flow Controller (UPFC) for Power System Studies,” IEEE Transactionson Power Systems, vol 11, no 4, November 1996, p 1937.
2.       K S Smith, L Ran and J Penman, “Dynamic Modelling of a Unified Power Flow Controller,” IEE Proceedings-C, vol 144, no 1, January 1997, p 7.

3.       T Makombe and N Jenkins. “Investigation of a Unified Power Flow Controller,” IEE Proceedings-C, vol 146, no 4, July 1999, p 400.

4.       Papic and P Zunko et al. “Basic Control of Unified Power Flow Controller,” IEEE Transaction on Power Systems, vol 12, no 4, November 1997, p 1734.

5.       Y Morioka and Y Nakach, et al. “Implementation of Unified Power Flow Controller and Verification for Transmission Capability Improvement,” IEEETransactions on Power Systems, vol 14, no 2, May 1999, p 575.

6.       H F Wang. “Damping Function of Unified Power Flow Controller,” IEE Proceedings-C, vol 146, no 1, January 1999, p 81.

7.       H. F. Wang, F. J. Swift, “A Unified Model for the Analysis of FACTS Devices in Damping Power System Oscillations Part I: Single-machine Infinite-bus Power Systems,” IEEE Transactionson Power Delivery, Vol. 12, No. 2, April, 1997, pp. 941-946.

8.       H. F. Wang, F. J. Swift, “A Unified Model for the Analysis of  FACTS Devices in Damping Power System Oscillations Part II: Multi-machine Power Systems,” IEEE Transactions on Power Delivery, Vol. 13, No. 4, October, 1998, pp. 1355-1362.

9.       NarainG.Hingorani,andLaszloGyugyi,UNDERSTANDING FACTS. IEEE Press, New York, 2000.

10.     Hao Ying, “Fuzzy Control and Modeling: Analytical Foundations and Applications, IEEE Press Series on Biomedical Engineering, Series Editor: Metin Akay, New York, 2000.

11.     Jong-Bae Park, Young-Moon Park, Jong-Ryul Won, and Kwang Y. Lee, “An Improved Genetic Algorithm for Generation Expansion Planning”, IEEE Transactions on power Systems, Vol.15,No.3,August 2000 pp 365-371

307-311

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

63.

Authors:

Ankit Pincha

Paper Title:

Risk Mitigation of Denial of Service Attack

Abstract:    In this paper, I propose to mitigate the risk of denial of service attack. This involves identification of genuine traffic and giving it a higher priority. This results in lower priority for suspected malicious traffic. The priority of threads below the specified threshold will be discarded.  Spoofed Denial of service attacks have also been taken care of thereby providing maximum security to the system by the attacker. The attacker suffers from a reduced priority of service. The reduced priority means greater response time for service request. The attacker might find his attack to be effective whereas the system might still be handling the request of genuine traffic.

Keywords:
   DOS, risk, mitigation, attack, denial of service, prevention.


References:

1.       http://support.microsoft.com/kb/162326
2.       http://searchsoftwarequality.techtarget.com/definition/denial-of-service

3.       http://www.denial-of-service-attacks.com/what-is-direct-denial-of-service.html

4.       http://cr.yp.to/syncookies.html

5.       http://www.ddosattacks.net/2012/07/25/five-ways-to-protect-against-distributed-denial-of-service-ddos-attacks/

6.       http://royal.pingdom.com/2009/03/10/the-anatomy-of-a-ddos-attack/?isalt=0

7.       Internet Denial of Service: Attack and Defense Mechanisms by Jelena Mirkovic, Sven Dietrich, David Dittrich, Peter Reiher


312-313

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

64.

Authors:

Luaay Abdul Wahed Shihab

Paper Title:

Wireless LAN Security and Management

Abstract:    The purpose of the project is to protect the LAN from hackers and make the network security and network is protected using the type of stream encryption is the encryption and one of the systems, encryption of electronic strong because of high security and the difficulty of breaking and stream encryption prevents explicit text to cipher text bit – bit stream encryption key is a sequential or Theorem To generate the key sequence is used to remove recorded value of the given elementary Function and feedback System and network management and security management.

Keywords:
   W LAN Security, WI FI protect , SSAD, AP , EBSS


References:

1.       Wireless networking in the developing / first edition / 2006
2.       Cipher system te protection of communication by BEKER . H and PIPER. F

3.       Communication network / SHARAM HEKMET
4.       Concept of networking / IHT/ first edition / 2000-2001

5.       Automated network management system by DOUGLAS  E. COMER

6.       Wireless LAN security – challenges and solution / PROF. RATHNAKAN . DR. NATHAN.

7.       Internet working with TCP/ IP / FIFTH EDIYION / by DOUGLAS  E . COMER.


314-317

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html