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1,972 articles for “LM algorithm”
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Research ArticleOpen accessEvery word in the titleDecoupling and Linearizing of a pH Plant using Hirschorn’s and Genetic AlgorithmsJ. Kanakaraj, D. SubbulekshmiProblem statement: This study is to maintain the interacting liquid level and pH parameter at a desired value. The purpose of decoupling and linearization algorithm is to prevent interaction and making the system linear. Approach: In this study Hirchorn’s and Genetic Algorithms (GA) are proposed to make the system linear, non interacting system. This study presents the performance comparison of … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,199 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane SlicingS. N. Sivanandam, A. Pasumpon PandianProblem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossless Image compression … …Journal of Computer Science, Vol. 8, Issue 8 · 28 Jul 2012 · 7,486 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Study of Performance in Cryptography Algorithms (Blowfish and Skipjack)Ali Ahmad Milad, Hjh Zaiton Muda, Zul Azri Bin Muhamad Noh, Mustafa Almahdi AlgaetProblem statement: The main goal guiding the design of any encryption algorithm needs to be secured against unauthorized attacks. For all applied applications, performance and the cost of implementations are also important concerns. A data encryption algorithm would not be of much use if it is secure enough but slow in performance because it is a common repetition to embed … …Journal of Computer Science, Vol. 8, Issue 7 · 7 Jul 2012 · 8,021 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of Multi Clustered Parallel Genetic Algorithm with Gray ValueP. Vishnu Raja, V. Murali BhaskaranProblem statement: Encoding is one of the major factors in genetic algorithms, for a complex problem the optimality for the problem is determined. The encoding mechanism is the initial step which forms the chromosome to form the best fit individuals in the entire population. The proposed method tries to encode the initial population by the binary encoding and by gray … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 7,166 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParallel Memetic Algorithm for VLSI Circuit Partitioning Problem using Graphical Processing UnitsP. Subbaraj, P. SivakumarProblem statement: Memetic Algorithm (MA) is a form of population-based hybrid Genetic Algorithm (GA) coupled with an individual learning procedure capable of performing local refinements. Here we used genetic algorithm to explore the search space and simulated annealing as a local search method to exploit the information in the search region for the optimization of VLSI netlist bi-Partitioning problem. However, … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 7,094 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Reduction Algorithm for Analysis of Linear NeuronMohammad Dweib, Yousef AbuzirProblem statement: The aim of feature selection is to select a feature set that is relevant for a given application. Feature selection is complex and remains an important issue in many domains. In the field of neural networks, feature selection has been used in many applications and their methods have been employed. In this study we present neural network approaches … …Journal of Computer Science, Vol. 8, Issue 4 · 2 Feb 2012 · 6,845 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImplementation of an Improved Data Encryption Algorithm in a Web Based Learning SystemAdeolu Olabode Afolabi, Rotimi AdagunodoProblem statement: This study proffered solution to some identified data insecurity problems in software development by the use of Web-based learning system as a test bed and development of an hybrid crypto-biometric security system. Approach: A variant of data encryption algorithm tagged (XOR-RSA algorithm) is developed in order to encrypt the messages being sent between the learner and the facilitator. … …Physics International, Vol. 2, Issue 1 · 23 Jan 2012 · 7,771 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Distributed Coverage and Target Tracking Algorithm for Wireless Sensor NetworksM. Senthamilselvi, N. DevarajanProblem statement: Due to communication, processing and energy constraints, tracking in sensor networks creates different challenges. Since existing algorithms utilized the information from all the sensors for tracking, it results in higher expenditure of energy and reduced lifetime for the network. Approach: We propose to develop a distributed coverage and target tracking algorithm for wireless sensor networks. Tracking issue is … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 6,700 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Gene Selection Algorithm using Bayesian Classification ApproachAlok Sharma, Kuldip K. PaliwalIn this study, we propose a new feature (or gene) selection algorithm using Bayes classification approach. The algorithm can find gene subset crucial for cancer classification problem. Problem statement: Gene identification plays important role in human cancer classification problem. Several feature selection algorithms have been proposed for analyzing and understanding influential genes using gene expression profiles. Approach: The feature selection … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 8,312 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,975 accessesView PDFCite