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166 results for “Network Layer”
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Research ArticleOpen accessIn the abstractArtificial Neural Networks Based Red Palm Weevil (Rynchophorus Ferrugineous, Olivier) Recognition SystemSaleh Mufleh Al-Saqer, Ghulam Mubashar HassanProblem statement: The most dangerous insect for the existence of palm trees in entire world is Red Palm Weevil (scientifically named as Rynchophorus Ferrugineous, Oliveir). The proposed research is conducted to develop an identification system for Automated Wireless Red Palm Weevil Detection and exterminated. The core idea of the proposed research is to develop software that can utilize image processing … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 4 Aug 2011 · 9,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Congestion Reduction Routing in Wireless Sensor NetworksT. V.P. Sundararajan, Thiyaneswaran Manoharan, Abinaya RajendranProblem statement: Data generated in wireless sensor networks may not all be alike: some data may be more important than others and hence may have different delivery requirements, To solve this problem addressed a differentiated data delivery in the presence of congestion in wireless sensor networks and proposed a class of algorithms that enforce differentiated routing based on the congested … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,799 accessesView PDFCite
Research ArticleOpen accessIn the abstractMisbehaving Node Detection in Mobile Ad Hoc Networks using Multi Hop Acknowledgement SchemeUsha Sakthivel, S. RadhaProblem statement: For any node in a Mobile Ad hoc Network conservation of battery power and bandwidth are the priority. Hence, they try to reduce the overload they would otherwise incur when they forward packets. This selfish behavior of a node affects the throughput of the network. The nodes may also choose a back off value of shorter duration. These … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,714 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Leakage Current to Predict Insulator Flashover Using Artificial Neural NetworkN. Narmadhai, A. Ebenezer JeyakumarProblem statement: The phenomenon of flashover in polluted insulators has been continued by the study of the characteristics of contaminating layers deposited on the surface of insulators in high voltage laboratories. In the literature, Experimental investigations have been carried out on a real insulator or a flat plate model of insulators under high voltage application. This study proposed the Equivalent … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,624 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Combined Solution for Routing and Medium Access Control Layer Attacks in Mobile Ad Hoc NetworksR. Murugan, A. ShanmugamProblem statement: In Mobile Ad hoc Network (MANET), both the routing layer and the Medium Access Control (MAC) layer are vulnerable to several attacks. There are very few techniques to detect and isolate the attacks of both these layers simultaneously. In this study, we developed a combined solution for routing and MAC layer attacks. Approach: Our approach, makes use of … …Journal of Computer Science, Vol. 6, Issue 12 · 4 Nov 2010 · 7,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network Change Detection Model for Satellite Images Using Textural and Spectral CharacteristicsA. K. Helmy, Gh. S. El-TaweelProblem statement: Change detection is the process of identifying difference of the state of an object or phenomena by observing it at different time. Essentially, it involves the ability to quantify temporal effects using multi-temporal data sets. Information about change is necessary for evaluating land cover and the management of natural resources. Approach: A neural network model based on both … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Backpropagation Neural Network Algorithm for Image Compression/Decompression SystemOmaima N.A. AL-AllafProblem statement: The problem inherent to any digital image is the large amount of bandwidth required for transmission or storage. This has driven the research area of image compression to develop algorithms that compress images to lower data rates with better quality. Artificial neural networks are becoming attractive in image processing where high computational performance and parallel architectures are required. … …Journal of Computer Science, Vol. 6, Issue 11 · 26 Oct 2010 · 8,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkin Color Detection Model Using Neural Networks and its Performance EvaluationK. K. Bhoyar, O. G. KakdeProblem statement: Skin color detection is used as a preliminary step in numerous computer vision applications like face detection, nudity recognition, hand gesture detection and person identification. In this study we present a pixel based skin color classification approach, for detecting skin pixels and non skin pixels in color images, using a novel neural network symmetric classifier. The neural classifiers … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 8,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeuro-Based Artificial Intelligence Model for Loan DecisionsShorouq Fathi Eletter, Saad Ghaleb Yaseen, Ghaleb Awad ElrefaeProblem statement: Despite the increase in consumer loans defaults and competition in the banking market, most of the Jordanian commercial banks are reluctant to use artificial intelligence software systems for supporting loan decisions. Approach: This study developed a proposed model that identifies artificial neural network as an enabling tool for evaluating credit applications to support loan decisions in the Jordanian … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 10,811 accessesView PDFCite