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97 articles for “generalization”
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Research ArticleOpen accessIn the abstractHypercyclic Functions for Backward and Bilateral Shift OperatorsN. Faried, Z. A. Hassanain, A. MorsyProblem statement: Giving conditions for bilateral forward and unilateral backward shift operators over the weighted space of p-summable formal series to be hypercyclic. This provides a generalization to the case of Hilbert space. Approach: We used hypercyclicity criterion and some preliminary concepts for formal Laurent series and formal power series. Moreover we got benefits of some duality properties of above … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 8,184 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Strongly Coupled Linear Elliptic Systems with Application to Otolith Membrane DistortionI.K. YoussefProblem Statement: In this research, the author discussed the problems associated with the approximation of the mixed derivative terms appearing in strongly coupled linear elliptic systems by the finite difference method over irregular domains. To avoid the appearance of mixed derivative terms the author introduced a reformulation for the system through introducing a new dependent variable which adds one supplementary … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 6,714 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Sulfur Dioxide (SO2) Concentration Levels from the Mina Al-Fahal Refinery in Oman Using Artificial Neural NetworksSabah A. Abdul-Wahab, Saleh M. Al-AlawiIn this investigation, two Artificial Neural Network (ANN) models were applied for predicting ground-level sulfur dioxide (SO2) in the Sultanate of Oman in order to provide an early warning advisory for the protection of public health. The objective of the first model (Model I) was to use ANN to predict sulfur dioxide (SO2) levels at certain receptors from the Mina … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,385 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Algorithm for Subset Matching ProblemYangjun ChenThe subset matching problem is to find all occurrences of a pattern string p of length m in a text string t of length n, where each pattern and text position is a set of characters drawn from some alphabet ∑. The pattern is said to occur at text position i if the set p[j] is a subset of the … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractThree Algorithms for Flexible Flow-shop SchedulingTzung-Pei Hong, Pei-Ying Huang, Gwoboa Horng, Chan-Lon WangScheduling is an important process widely used in manufacturing, production, management, computer science, and so on. Appropriate scheduling can reduce material handling costs and time. Finding good schedules for given sets of jobs can thus help factory supervisors effectively control job flows and provide solutions for job sequencing. In simple flow shop problems, each machine operation center includes just one … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 6,969 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Token-Based Fair Algorithm for Group Mutual Exclusion in Distributed SystemsAbhishek Swaroop, Awadhesh Kumar SinghThe group mutual exclusion (GME) problem is a generalization of the mutual exclusion problem. In group mutual exclusion, a process requests a session before entering its critical section (CS). Processes requesting the same session are allowed to be in their CS simultaneously, however, processes requesting different sessions must execute their CS in mutually exclusive way. The paper presents a token-based … …Journal of Computer Science, Vol. 3, Issue 10 · 31 Oct 2007 · 7,095 accessesView PDFCite
Research ArticleOpen accessIn the abstractExistence and Uniqueness Conditions for the Maximum Likelihood Solution In Regression Models For Correlated Bernoulli Random VariablesDavid Todem, KyungMann KimWe give sufficient and necessary conditions for the existence of the maximum likelihood estimate in a class of multivariate regression models for correlated Bernoulli random variables. The models use the concept of threshold crossing technique of an underlying multivariate latent variable with univariate components formulated as a linear regression model. However, in place of their Gaussian assumptions, any specified distribution … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractRule Extraction from Radial Basis Functional Neural Networks by Using Particle Swarm OptimizationM. R. Senapati, I. Vijaya, P. K. DashRadial basis functional neural networks (RBFNN) provide an outstanding possibility for generating rules for solving pattern classification problems. One of the most important factors in RBFNN is finding out the center and spread. This paper examines rules extracted from RBF networks trained by Particle swarm Optimization (PSO). The selection of the RBFNN centers, spreads and the network weights can be … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractZonisamide: The Arizona ExperienceK.J. Oommen, Enriqe LabadieZonisamide (ZNS) is a new antiepileptic drug initially introduced in Europe, Japan and the United States (US) in the late 1980’s and was the first such drug to be clinically tested in the US, since the marketing of valproic acid in 1978. Reports of nephrolithiasis by European and US investigators resulted in the trials being terminated in the US during … …American Journal of Pharmacology and Toxicology, Vol. 2, Issue 2 · 30 Jun 2007 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterministic Timed AFA: A New Class of Timed Alternating Finite AutomataAbdelaziz Fellah, Zachary Friggstad, Soufiane NoureddineTimed Alternating Finite Automata (TAFA), a natural generalization of Timed Finite Automata (TFA), are synchronous and powerful models for real-time computations. They become an effective and expressive model for developing embedded systems with real-time constraint computations which are required in many applications. We introduce Deterministic Timed Alternating Finite Automata (DTAFA), a new class of timed alternating finite automata, extended with … …Journal of Computer Science, Vol. 3, Issue 1 · 31 Jan 2007 · 7,499 accessesView PDFCite