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8 articles for “Generality”
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Research ArticleOpen accessEvery word in the titleA Note on the Role of Abstraction and Generality in Software DevelopmentPavol Návrat, Roman FilkornAlthough the evolving field of software engineering introduces many methods and modelling techniques, we conjecture that the concepts of abstraction and generality are among the fundamentals of each such methodology. This study proposed a formal representation of these two concepts, along with a two-dimensional space for the representation of their application. Based on the examples, we further elaborate and discuss … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractThinging-Based Conceptual Modeling: Case Study of a Tendering SystemSabah Al-Fedaghi, Esraa HaidarIn computer science, models are made explicit to provide formality and a precise understanding of small, contingent “universes” (e.g., an organization), as constructed from stakeholder requirements. Conceptual modeling is a fundamental discipline in this context whose main concerns are identifying, analyzing and describing the critical concepts of a universe of discourse. In the information systems field, one of the reasons … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractInteraction Model in Statistical MechanicsFarida Kachapova, Ilias KachapovStatistical mechanics considers several models such as Ising model, Potts model, Heisenberg model etc. A rigorous mathematical approach based on the axiomatic foundation of probability would benefit the study and applications of these models. In this paper we use this approach to generalize some of these models into one construction named an interaction model. We introduce a mathematically rigorous definition … …Journal of Mathematics and Statistics, Vol. 13, Issue 4 · 4 Nov 2017 · 7,054 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Expansion Iterative Technique for Handling Fractional Differential Equations Using Fractional Power Series SchemeRadwan Abu-Gdairi, Mohammed Al-Smadi, Ghaleb GumahIn this study, we present a new analytical numerical technique for solving a class of time Fractional Differential Equations (FDEs) with variable coefficients based on the generalized Taylor series formula in the Caputo sense. This method provided the solution in the form of a rapidly convergent power series under a multiple fractional differentiability with easily computable components. An efficacious experiment … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 18 Sep 2015 · 7,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractVariable Separation and Boubaker Polynomial Expansion Scheme for Solving the Neutron Transport EquationDada O.M., O.B. Awojoyogbe, M. Agida, K. BoubakerProblem statement: In this study, we present general analytical solutions to the Neutron Boltzmann Transport Equation NBTE using a polynomial expansion scheme. Approach: Some simple assumptions have been introduced in the main system thanks to the Boubaker Polynomial Expansion Scheme (BPES) in order to make the general analytical procedure simple and adaptable for solving similar real life problems. Results: Finding … …Physics International, Vol. 2, Issue 1 · 21 Jan 2012 · 7,595 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Frame Study for Post-Processing Analysis on System Behavior: A Case Study of Deadline Miss DetectionJunghee Lee, Jongman KimProblem statement: A lot of data can be obtained by system simulation using transaction level models without affecting the performance of the system. Due to huge amount of the raw data, we often need to post-process them to extract valuable information. Profiling capabilities of commercial tools provide predefined functionalities and don’t allow users to add or modify for their own … …Journal of Computer Science, Vol. 6, Issue 12 · 22 Nov 2010 · 6,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractSwarm Negative Selection Algorithm for Electroencephalogram Signals ClassificationNasser Omer Sahel Ba-Karait, Siti Mariyam Shamsuddin, Rubita SudirmanProblem statement: The process of epilepsy diagnosis from EEG signals by a human scorer is a very time consuming and costly task considering the large number of epileptic patients admitted to the hospitals and the large amount of data needs to be scored. Therefore, there is a strong need to automate this process. Such automated systems must rely on robust … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Double Layer Grids' Maximum Deflection Using Neural NetworksReza Kamyab Moghadas, Kok Keong ChoongEfficient neural networks models are trained to predict the maximum deflection of two-way on two-way grids with variable geometrical parameters (span and height) as well as cross-sectional areas of the element groups. Backpropagation (BP) and Radial Basis Function (RBF) neural networks are employed for the mentioned purpose. The inputs of the neural networks are the length of the spans, L, … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,488 accessesView PDFCite