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14 results for “Failure Probability”
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Research ArticleOpen accessPhrase in the titleFailure Probability of 2-within-Consecutive-(2, 2)-out-of-(n, m): F System for Special Values of mE. M.E.L. SayedProblem statements: In this research, the researcher aimed to discuses the system failure probability of the model 2-within-consecutive (2, 2) out of (n, m) system for special values of m. Approach: The basic idea for evaluating the failure probability was the usage of the number of configuration of k (k = 2, 3, 4) parallel columns each contained n components … …Journal of Mathematics and Statistics, Vol. 5, Issue 1 · 31 Mar 2009 · 7,464 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTHE THEORY OF COMPLEX PROBABILITY AND THE FIRST ORDER RELIABILITY METHODAbdo Abou JaoudeThe Kolmogorov’s system of axioms can be extended to encompass the imaginary set of numbers and this by adding to the original five axioms an additional three axioms. Hence, any experiment can thus be executed in what is now the complex set C (Real set R with real probability + Imaginary set M with imaginary probability). The objective here is … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 9 Oct 2013 · 6,903 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Study between Various Topological Models of Base Stations in Cellular Mobile Radio CommunicationMohammed F. AlhunaityIn this paper, we analyze the different parameters of quality for the network models of base stations (BS) when the service messages have not a delay. Also, we compare between four topologies star, ring, radial ring and fully connected using identical quality of user service and conditional cost of one Erlang. Our results have been obtained for different probabilities of … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Feb 2006 · 6,876 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Method for Online Learning of Bayesian Network ParametersMariana D.C. Lima, Silvia M. NassarIn learning problems, there are situations where training data is not fully available at the learning time. They are incrementally generated by time, defining a type of domain called online that has among its characteristics the possibility of data failure or even missing data. In Bayesian networks, learning is divided into two categories: structure (related to the graph of conditional … …Journal of Computer Science, Vol. 15, Issue 3 · 16 Mar 2019 · 7,498 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Cardiovascular Diseases with Bayesian ClassifiersAlaa Elsayad, Mahmoud FakhrCardiovascular disease or atherosclerosis is any disease affecting the cardiovascular system. They include coronary heart disease, raised blood pressure, cerebrovascular disease, peripheral artery disease, rheumatic heart disease, congenital heart disease and heart failure. They are treated by cardiologists, thoracic surgeons, vascular surgeons, neurologists and interventional radiologists. The diagnosis is an important yet complicated task that needs to be done accurately … …Journal of Computer Science, Vol. 11, Issue 2 · 25 Mar 2015 · 7,498 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARISON OF STEPWISE AND FUZZY MULTIPLE REGRESSION ANALYSIS TECHNIQUES FOR MANAGING SOFTWARE PROJECT RISKS: ANALYSIS PHASEAbdelrafe Elzamly, Burairah HussinRisk is not always avoidable, but it is controllable. The aim of this study is to identify whether those techniques are effective in reducing software failure. This motivates the authors to continue the effort to enrich the managing software project risks with consider mining and quantitative approach with large data set. In this study, two new techniques are introduced namely … …Journal of Computer Science, Vol. 10, Issue 9 · 22 Apr 2014 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE MANAGEMENT OF UNCERTAINTY: MODEL FOR EVALUATION OF HUMAN ERROR PROBABILITY IN RAILWAY SYSTEMLombardi Mara, Guarascio Massimo, Rossi GiulianoThe methodology of quantitative risk assessment in use in the railway industry refers the RAMS approach, as expected in EN 50126, to define the failure of the system. From the probability of failure follows the evaluation of the failure consequence, the check of the accident occurrence and finally, the analysis of the achievable accident scenarios to quantify the damage as … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 30 Dec 2013 · 7,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE DEVELOPMENT OF AN EXPERT CAR FAILURE DIAGNOSIS SYSTEM WITH BAYESIAN APPROACHWidodo BudihartoIn this study we propose a model of an Expert System to diagnose a car failure and malfunction using Bayesian Approach. An expert car failure diagnosis system is a computer system that uses specific knowledge which is owned by an expert to resolve car problems. Our specific system consists of knowledge base and solution to diagnose failure of car from … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 7,289 accessesView PDFCite
Research ArticleOpen accessIn the abstractProposed Reliability Techniques on Soil and Rock ExcavationsS. TangchawalProblem statement: Assessment of the ground mass excavation is normally done by the deterministic method. A quantitative indication of mass stability provides as an index term known "the Factor of Safety (F.S.)". There are uncertain to some degrees, such as only a single value of mass properties is used or variation in geologic conditions, computed values of F.S. are never … …Energy Research Journal, Vol. 2, Issue 1 · 26 Jan 2012 · 7,411 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating some Reliability Analysis Methodologies in Seismic DesignA. El Ghoulbzouri, A. Khamlichi, F. Lopez Almansa et al.Problem statement: Accounting for uncertainties that were present in geometric and material data of reinforced concrete buildings was performed in this study within the context of performance based seismic engineering design. Approach: Reliability of the expected performance state is assessed by using various methodologies based on finite element nonlinear static pushover analysis and specialized reliability software package. Reliability approaches that … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,843 accessesView PDFCite