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36 articles for “Edge Information”
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Research ArticleOpen accessIn the abstractImage Compression using Space Adaptive Lifting SchemeRamu Satyabama, AnnaduraiProblem statement: Digital images play an important role both in daily life applications as well as in areas of research and technology. Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. Approach: Wavelet transform has demonstrated excellent image compression performance. New algorithms based on Lifting style implementation … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Particle Swarm Optimization Based Edge Preserving Impulse Noise FilterS. Mohamed Mansoor Roomi, P.L. Muthu Karuppi, P. Rajesh, B. Guru RevathiProblem statement: Image sensors and communication channels often introduce impulse noise in image transmission. The most common filters available to remove such noise are median filter and its variants but the major drawbacks identified with them are blurring of edge detail and low noise suppression. To preserve the sharp and useful information in the image, the filtering algorithms are required … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,546 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Defection Prediction by Using Wavelet CompressionYas A.K. AlsultannyDigital image have been expanding in usage. The importance of image compression algorithms have been increased, to produce smaller file size with a lower computational requirement. The wavelet transform offers a natural decomposition of images at multiple resolutions, since the wavelet transform can decompose images into various multiresolution subbands, where the correlation exists. A novel technique for image compression by … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputer Vision for Vulnerable Road Users using Machine LearningDevi Chilukuri, Sun Yi, Younho SeongTransportation has become a very important component for all ages in today’s life. However, seniors often find difficulty in travelling by public transport or even by their own vehicles. Thus, they are considered as Vulnerable Road Users (VRUs). This research mainly concentrates on creating an application that helps the elderly mobile users in virtually screening of directions using GPS, tracking … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 11 Mar 2019 · 7,078 accessesView PDFCite
Research ArticleOpen accessIn the abstractStateless Aggregate Fair Marking Scheduler for Differentiated Service NetworksNandhini Sivasubramaniam, Palaniammal SenniappanIn diffserv networks, as the traffic flows vary constantly, it is very difficult to maintain the per-flow state. The computation of rate information of the traffic flow also becomes complex. In this study, we propose a Stateless Aggregate Fair Marking (SAMQ) with Multiple Queue Priority Scheduler for Differentiated Service (DiffServ) networks. Initially, priority scheduler is applied to the flows entering … …Journal of Computer Science, Vol. 9, Issue 1 · 9 Feb 2013 · 7,510 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Modified Gaussian Mixture Model for Color-Texture SegmentationM. Sujaritha, S. AnnaduraiProblem statement: This study presents a new, simple and efficient modified Gaussian mixture model based clustering algorithm for color-texture segmentation. The proposed mixture model introduces a new component density function which incorporates spatial information and the weighting factor for neighborhood effect is fully adaptive to the image content. Approach: It enhances the smoothness towards piecewise-homogeneous segmentation and reduces the edge-blurring … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,329 accessesView PDFCite
EditorialOpen accessIn the abstractRECENT TRENDS AND CHALLENGES OF ENERGY EFFICIENT AND SUSTAINABLE BUILDINGSChiara BedonAccording to several studies (e.g., the Intergovernmental Panel on Climate Change (IPCC, 2014), the US Energy Information Administration (US EIA, 2014), warming of the climate system is unequivocal and mainly derives from greenhouse gas emissions due to human activities. Global Carbon Dioxide (CO2) emissions from fossil fuels, for example, are estimated to be 29% higher in 2035 than they were … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 3 · 11 Sep 2014 · 8,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractMIGITATION OF INTER CELL INTERFERENCE AND FADING IN LTE SYSTEMSNagarajan Amutha Prabha, Gorla Vidhya Sagar, Venugopal ManikandanIn this study we investigate the compensation of outage area utmost. It introduces the self optimization of the neighbors of the outage cells with antenna tilts for the generation of the most suitable configuration settings for the network with base stations/eNodeBs positional information. All the neighbors of the outage cell increase their coverage area and thus contribute to cell outage … …Journal of Computer Science, Vol. 10, Issue 3 · 28 Nov 2013 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Meta Node Fuzzy Metagraph and its Cluster AnalysisD. Gaur, A. Shastri, R. BiswasProblem statement: In this study researchers propose a new fuzzy graph theoretic construct called fuzzy metagraph and a new method of clustering finding the similar fuzzy nodes in a fuzzy metagraph. Approach: We adopted T-norms (Triangular Norms) functions and join two or more T-norms to cluster the fuzzy nodes. Fuzzy metagraph is the fuzzyfication of the crisp Metagraphs using fuzzy … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,951 accessesView PDFCite