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Research ArticleOpen accessIn the abstractUse of the Chi-square Test to Determine Significance of Cumulative Antibiogram DataRocco J. Perla, James CarifioAn important function of a hospital’s Infectious Disease and Pharmacy programs is to review and compare the most recent antibiogram with that of the previous year to determine if significant changes in antibiotic susceptibility results are noted and to communicate this information and its consequences to the medical staff. However, there are currently no formal analytical (decision-making) models in use … …American Journal of Infectious Diseases, Vol. 1, Issue 4 · 31 Dec 2005 · 7,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractCyberbullying Victimization and Behaviors Among Girls: Applying Research Findings in the FieldPatricia A. Snell, Elizabeth K. EnglanderProblem statement: Prior research on cyberbullying has been conducted; however specific research on gender differences has yet to be examined. The current study focuses on gender trends, specifically females, in cyberbullying victimization and behaviors. Approach: A survey was given to undergraduate students at Bridgewater State College in an effort to see what gender trends exist in cyberbullying behaviors. A pilot … …Journal of Social Sciences, Vol. 6, Issue 4 · 23 Oct 2005 · 12,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeisser’s Cycle of Perception: Formal Representation and Practical ImplementationIgor A. Chimir, Waheeb A. Abu-Dawwas, Mark A. HorneyThis article presents results of a theoretical investigation of the application of the object-oriented Unified Modelling Language to a formal description of Neisser’s cycle of perception. The article includes class diagrams, modelling the spatial structure of Neisser’s cycle of perception and demonstrates how these formal descriptions can be applied to the area of modelling the problem-independent dialogue process. The basis … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 5,109 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Model for Multi-agent Case-base Reasoning SystemsAbdel Badeea Salem, Aldahoud Ali, Ibrahiem M. M. El EmaryMulti-Agent Systems (MASs) and Case-Based Reasoning (CBR) are two recent and hot paradigms in artificial intelligence field. CBR is a reasoning methodology based on old experience reasoning or similarity-based reasoning while MAS is a new paradigm to organize AI applications. CBR offers multi-agent systems the capability of autonomously learning from experience. This study examines the integration of CBR, MASs and … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 5,157 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurocomputing Device for Image Processing and ClassificationRashad J. RasrasThis article is concerned with problems of construction of specialized computing device for image processing and classification. The device may be used for classification of objects images in conditions of various image scales of the same object. The device may be realized by neurochips technology. …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 4,842 accessesView PDFCite
Research ArticleOpen accessIn the abstractCreating Improved Models of Business Processes Through Statistical Analysis of Customer Orders with Multiple Types of ComplexityRaschid Ijioui, Heike Emmerich, Jürgen Hubert, Frank SchillerTo gain a better understanding of the internal work processes in service-oriented supply chains, it is very important to design models that are able to realistically describe the components of the supply chain. To meet this goal, it is necessary to find suitable statistical distributions of the processing times for the orders passing the chain. In this article we examine … …Journal of Mathematics and Statistics, Vol. 1, Issue 3 · 30 Sep 2005 · 6,858 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntoCell: An ontology of Cellular BiologyLynda DIB, Mohamed T. LaskriThis article presents OntoCell, a cellular ontology that we constructed and edited under Protege2000. It regroups and unifies the main concepts and relations related to the cell's structure and behavior. OntoCell has been validated by experts in biology (by the UMRS INSERM 514). Moreover, it will be validated in the context of the development of a multi-agent system simulating the … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,922 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybridization of Neural Learning Algorithms Using Evolutionary and Discrete Gradient ApproachesRanadhir Ghosh, John Yearwood, Moumita Ghosh, Adil BagirovIn this study we investigated a hybrid model based on the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. Also we discuss different variants for hybrid models using the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. The Discrete Gradient … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Studies on Applications of Neural Networks as Approximation OracleK. K. Aggarwal, Yogesh Singh, Arvinder KaurExpected results are essential to any test design. In testing, an Oracle is a trusted source of expected results. This research examines the performance of Artificial Neural Network (ANN) as Approximation Oracle. The supervised learning paradigm has been used and found to be suitable for the purpose with the help of case studies. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,630 accessesView PDFCite
Research ArticleOpen accessIn the abstractFLANN Detector Based Filtering of Images Corrupted by Impulse NoiseBanshidhar Majhi, Mowafak FathiWe present a novel non-linear scheme for image restoration based on neuro-detector using Functional Link Artificial Neural Network (FLANN) followed by an improved spatial filter. The method is applied to images corrupted by impulse noise with varying strengths and different noise probability. The neural detector is based on the concept of training or learning by examples. When trained properly, the … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,242 accessesView PDFCite