Taxonomy Proposal for Research on Reversible Logic
Mahamuda Sultana1, Diganta Sengupta2, Atal Chaudhuri3
1Mahamuda Sultana, Dept. of Information Technology, Techno International New Town, Kolkata, West Bengal, India.
2Diganta Sengupta*, Dept. of Computer Science and Engineering, Techno International Batanagar, Kolkata, West Bengal, India.
3Atal Chaudhuri, Vice-Chancellor, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 2608-2613 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8756088619/2019©BEIESP | DOI: 10.35940/ijeat.F8756.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Reversible Logic has become a topic of interest among global researchers for its heat arresting attribute, the very reason for which CMOS devices are witnessing performance thresholds. Within a decade of substantial growth, reversible logic is quoted as one of the valued emerging technologies. The growth of research in this domain has exhibited enormous volumes of research publications. Searching the perfect published article of interest among the plethora of publications demand an enormous amount of literature study and hence is highly time-consuming. After accessing a substantial amount of articles, only a very few tend to address our needs. Hence, we propose a taxonomy for research on reversible logic in this paper which concentrates articles of relevant/similar nature into nodes so that researchers can get a first-hand reference for their choice of interest. Knowledge of pre-requisites for gaining insights into a particular domain also mandates a thorough amount of literature survey. Our taxonomy takes care of those issues by concentrating the nodes into a tree-like structure thereby providing the pre-requisite (parent node) for the node of interest (child node). For generating the taxonomy, we have used the Cosine Similarity function for measuring the distance between two author keywords. The taxonomy proposal in this paper will serve upcoming researchers in getting references for their choice of the domain rather than a comprehensive survey of the higher magnitude of published data. Researchers pursuing research in a certain domain too will benefit from the taxonomy.
Keywords: Taxonomy, Reversible Logic, Emerging Technology, Author Keywords, Cosine Similarity Function.