Research ArticleOpen accessIn the author namesIoT Anomaly Detection Using Picture Fuzzy Clustering ApproachFehmin Nadira Laskar, Vijo Arul Selvi M., Fokrul Alom Mazarbhuiya et al.Improving the effectiveness of security systems without slowing them down is a major challenge in cybersecurity. Many methods have been explored for detecting anomalous behaviour in network data, with fuzzy set-based approaches standing out for their potential. The Internet of Things (IoT) consists of many connected devices that constantly generate large amounts of data and perform tasks in real time. … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,518 accessesView PDFCite
Research ArticleOpen accessIn the author namesDetecting Anomalies in IoT Using Intuitionistic Fuzzy Clustering AlgorithmsVijo Arul Selvi M., Fehmin Nadira Laskar, Fokrul Alom Mazarbhuiya et al.Intuitionistic Fuzzy Sets (IFS) are convenient ways to represent the vagueness and uncertainty inherent in any dataset. There are many uses of these. One such use is the Fuzzy C-Means (FCM) algorithm, which clusters the data objects into a pre-assigned (c) number of fuzzy clusters, which has been adopted in many fields, namely, pattern classification, anomaly detection, fraud identification, etc. … …Journal of Computer Science, Vol. 22, Issue 2 · 2 Mar 2026 · 1,606 accessesView PDFCite
Research ArticleOpen accessIn the author namesSOFT COMPUTING BASED MEDICAL IMAGE RETRIEVAL USING SHAPE AND TEXTURE FEATURESM. Mary Helta Daisy, S. Tamil SelviImage retrieval is a challenging and important research applications like digital libraries and medical image databases. Content-based image retrieval is useful in retrieving images from database based on the feature vector generated with the help of the image features. In this study, we present image retrieval based on the genetic algorithm. The shape feature and morphological based texture features are … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 24 Dec 2013 · 6,584 accessesView PDFCite
Research ArticleOpen accessIn the author namesIdentification of Proliferative Diabetic Retinopathy Using Texture SegmentationG. Tamil Pavai, S. Tamil SelviIn this study, it is proposed fast texture segmentation of detection of proliferative diabetic retinopathy. proliferative diabetic retinopathy is characterized by the revascularization on the optic disc or on the retinal area or both, as a result of diabetes mellitus. It may leads to the blindness if it is not detected and treated in proper time. This study proposes a … …Journal of Computer Science, Vol. 9, Issue 3 · 26 Apr 2013 · 6,322 accessesView PDFCite
Research ArticleOpen accessIn the author namesBalanced Scheduling of Independent File-Sharing Tasks in Heterogenous EnvironmentR. K. Ponsy, Sathia Bhama, S. Thamarai SelviProblem statement: To examine the strategies for scheduling of independent file-sharing tasks in a heterogeneous environment and the concept of load balancing. Approach: We propose hypergraph partitioning based strategy for the scheduling of non-critical jobs. This is done by scheduling the tasks that share tasks among them to the same processor. The tasks thus scheduled are employed to a load … …Journal of Computer Science, Vol. 7, Issue 12 · 17 Oct 2011 · 6,780 accessesView PDFCite
Research ArticleOpen accessIn the author namesAn Efficient Age Estimation System based on Multi Linear Principal Component AnalysisV. Tamil Selvi, K. VaniProblem statement: Human age estimation is an active research topic in computer vision. A vital characteristic in establishing identity of the person is the age. Age estimation from face images continues to be an extremely challenging task compared to other cognition problems. Age is a crucial factor in ascertaining the identity of a person. Age is estimated from the human … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,483 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Hybrid Model for Load Aware Trust Management in GridK. Selvi, R. S.D. Wahida BanuProblem statement: Trust management in a distributed dynamic environment like grid has been very vital since the allocation of appropriate resources to meet user request influences the success of the system. While considering a set of resources which are loaded invariably, balancing the load also contributes for the efficient resource utilization. Approach: This study proposes a trust calculation model, which … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,536 accessesView PDFCite
Research ArticleOpen accessIn the author namesMining Rare Itemset with Automated Support ThresholdsKanimozhi Selvi Chenniangirivalsu Sadhasivam, Tamilarasi AngamuthuProblem statement: Frequent itemset mining is an important task in data mining to discover the hidden, interesting associations between items in the database based on the user-specified support and confidence thresholds. Approach: In order to find important associations, an appropriate support threshold has to be specified. The support threshold plays a key role in deciding the interesting itemsets. The rare … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,847 accessesView PDFCite