14 results for “M. Chandrasekaran”

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Research ArticleOpen accessIn the author namesRandom Dummy Packet Distribution Approach for Detection of Routing Misbehavior in Mobile Ad Hoc NetworkT. Sakthivel, R. M. Chandrasekaran, S. Vijay BhanuA Mobile Ad hoc Network (MANET) works on the assumption that mobile nodes are cooperative. On the other hand, in practical, it may not be possible due to selfish, malicious and misbehaving nodes present in the network. These nodes are capable of interrupting the communication process and there is a potential for serious performance degradation. To improve the performance of … …Journal of Computer Science, Vol. 8, Issue 11 · 6 Nov 2012 · 6,977 accessesView PDF Cite

Research ArticleOpen accessIn the author namesAn Ontology Based Approach to Implement the Online Recommendation SystemVijayakumar Mohanraj, Muthaial ChandrasekaranProblem statement: Every web user has different intent when accessing the information on website. The primary goal of recommendation system is to anticipate the user intent and recommend the web pages that contain user expected information. Effective recommendation of web pages involves two important challenges: accurately identifying the user intent and predict the result show that novel web usage mining … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,871 accessesView PDF Cite

Research ArticleOpen accessIn the author namesMultiple Antibiotic Resistances of Vibrio Isolates from Coastal and Brackish Water AreasS. Manjusha, G. B. Sarita, K. K. Elyas, M. ChandrasekaranAn experiment was designed to assess the occurrence of multiple antibiotic resistances in Vibrio spp. from different (brackish and marine) environments. Water samples from nine marine landing sites and two coastal inland aquaculture farms were screened for the Vibrio spp. and assessed their resistance to twenty-two different antibiotics, which are commonly encountered in the aquatic ecosystem. Tissue samples (shrimp, mussel … …American Journal of Biochemistry and Biotechnology, Vol. 1, Issue 4 · 31 Dec 2005 · 7,082 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,778 accessesView PDF Cite