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Research ArticleOpen accessIn the abstractFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractSRBIR: Semantic Region Based Image Retrieval by Extracting the Dominant Region and Semantic LearningI. Felci Rajam, S. ValliProblem statement: The Semantic Region Based Image Retrieval (SRBIR) system that automatically segments the dominant foreground region, consisting of the semantic concept of the image, such as elephants, roses and does the semantic learning, is proposed. Approach: The system segments an image into different regions and finds the dominant foreground region in it, which is the semantic concept of that … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractMethod of Object Detection for Mobile RobotSurachai PanichProblem statement: In general, there are two steps of object detection, which are object generation, where the locations of possible objects are in an image and object verification, where tests are performed to verify the presence of object in an image. Approach: The purpose of the proposed object recognition system was to detect the object which is in front the … …Journal of Computer Science, Vol. 6, Issue 10 · 24 Aug 2010 · 7,432 accessesView PDFCite
Research ArticleOpen accessIn the abstractOff-Line Signature Authentication Based on Moment Invariants Using Support Vector Machinek. R. Radhika, M. K. Venkatesha, G. N. SekharProblem statement: The research addressed the computational load reduction in off-line signature verification based on minimal features using bayes classifier, fast Fourier transform, linear discriminant analysis, principal component analysis and support vector machine approaches. Approach: The variation of signature in genuine cases is studied extensively, to predict the set of quad tree components in a genuine sample for one person … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Influencing the Development of Entrepreneurial Education in Iran's Applied-Scientific Educational Centers for AgricultureBaharak. Azizi, Jamal F. Hosseini, Mahmood. Hosseini, Mehdi. MirdamadiProblem statement: An understanding of factors influencing entrepreneurial education in Iran’s applied-scientific educational centers for agriculture is crucial for creating the new opportunities for students and encouraging them to involve in entrepreneurial activity. The purpose of this study was twofold. First, it determined the key factors that influence entrepreneurial education in Iran’s applied-scientific educational centers for agriculture. Second, the study … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 1 · 31 Mar 2010 · 8,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractRegional Development Model for East AzerbaijanHamid R. AlipourProblem statement: Economic development is a process through which scientific-technical production principles change from a traditional status to a modern one. Development is an important event that not only encompasses the government duties, but alters the regional statesmen to be active elements in the development as well. Along the same lines, the present economic trends around the world tend to … …Journal of Social Sciences, Vol. 5, Issue 2 · 30 Jun 2009 · 8,135 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Recognition using Neural NetworkSaleh Ali K. Al-Omari, Putra Sumari, Sadik A. Al-Taweel, Anas J.A. HusainProblem statement: Handwriting number recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,665 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Generation ART-1 Neural Network with Gradient-Descent Method Aid for Latin Alphabet RecognitionMbaïtiga ZacharieProblem statement: In this study a self-generation ART-1 neural network that is an efficient algorithm that emulates the self-organizing pattern recognition developed to avoid the stability-plasticity dilemma in competitive networks learning, is presented for Latin alphabet recognition to use in a vision system for road sings recognition. Approach: The first step of our approach deals with the training process where … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractQualitative Ferromagnetic Hysteresis ModelingM. Mordjaoui, M. Chabane, B. Boudjema, R. DairaIn determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,080 accessesView PDFCite
Research ArticleOpen accessIn the abstractLizard Learning Algorithm for Invariant Pattern RecognitionG. M. Rao, G. R. Babu, G. V. KumariResearches are keen to know astonishing and intricate details of the nature. Each creature has its own admiring abilities and performs their routine task in more efficient manner. The bug navigation system has drawn keen attention among research community to know how they are able to perform their routine task in utmost skillful manner. The lizard is capable of identifying … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,495 accessesView PDFCite