Research ArticleOpen accessIn the abstractForecasting Peak Load Electricity Demand Using Statistics and Rule Based ApproachZ. Ismail, A. Yahya, K. A. MahpolProblem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development. It is a prerequisite to power system expansion planning as the world of electricity is dominated by substantial lead times between decision making and its implementation. The importance of demand forecasting needs to be emphasized at all level as … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistributed Mutual Exclusion Based on Causal OrderingMohamed Naimi, Ousmane ThiareProblem statement: Causality among events, more formally the causal ordering relation, is a powerful tool for analyzing and drawing inferences about distributed systems. The knowledge of the causal ordering relation between processes helps designers and the system itself solve a variety of problems in distributed systems. In distributed algorithms design, such knowledge helped ensure fairness and liveness in distributed algorithms, … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,748 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecovery in Distributed Systems from Transient and Permanent FaultsM. Aliouat, Z. AliouatThe recovery mechanism from transient fault in distributed systems has been intensively studied in the past, but to our best knowledge, none of these studies has been devoted to cope together with transient and permanent hard faults. Our study devoted to recovery processes in a distributed environment in case of hard faults like transient or permanent. The recovery mechanism we … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractGas Turbine Ontology for the Industrial ProcessesF. Z. Laallam, M. SellamiThe activity of supervision and control of the industrial processes is a very complex spot and require a great experiment because of the dynamic characteristics of the process. This experiment was acquired with the passing of years. What makes departure of an expert in retirement a great loss of the know-how. The problem thus consists to capture this know-how and … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Cooperative Intelligent Decision Support System for Contingency ManagementAbdelkader ADLATraditional Decision Support Systems (DSS) give not enough possibilities of intervention to the user. These systems are reduced to an insular and very technical state in which the objective is not support decision but to dump data on the screen in the hope that the user will know what to do with. In complex situations, decision is not structured and … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,692 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Transformation-oriented Methodology to Knowledge-based Conceptual Data Warehouse DesignOpim S. Sitompul, Shahrul A. NoahApplications of artificial intelligence (AI) technology in the form of knowledge-based systems within the context of database design have been extensively researched particularly to provide support within the conceptual design phase. However, a similar approach to the task of data warehouse design has yet to be seriously initiated. In this paper, we proposed a design methodology for conceptual data warehouse … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,731 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Study on Applications of Data Mining Techniques in HealthcareHarleen Kaur, Siri Krishan WasanThe healthcare environment is generally perceived as being ‘information rich’ yet ‘knowledge poor’. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 9,834 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 · 5,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Neural Network for Generating Adaptive LessonsHassina Seridi-Bouchelaghem, Toufik Sari, Mokhtar SellamiTraditional sequencing technology developed in the field of intelligent tutoring systems have not find an immediate place in large-scale Web-based education. This study investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment over the Web. An approach for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called KnowledgeClass. This approach … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 7,269 accessesView PDFCite