Developing reusable and adaptable concurrent software are very *** and adaptability in concurrent software become *** collaborations not only perimeter reusability,but also make modification invasive changes to meet n...
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Developing reusable and adaptable concurrent software are very *** and adaptability in concurrent software become *** collaborations not only perimeter reusability,but also make modification invasive changes to meet new requirements in the design of the concurrent *** concurrent system has to reengineer,in order to meet the future requirements.A misunderstanding,that a concurrent object-oriented programming generally endorses reusability and adaptability,as none of these problems is *** developers have to specifically deliberate software making reusability and *** present a concurrent aspect framework which better supporting reusability and *** the framework,functional components and system assets are relatively *** technique makes concurrent software developing better reusability and adaptability.A framework enables manageable reusability and adaptability for building of concurrent *** research focuses on decomposition of contact in concurrent software development and our goal is to demonstrate a better model of concurrent software design.
Purpose of this work is to develop norms, knowledge and algorithms that will make a real shift most of the educational process on the computer environment. On the basis of artificial neural networks, a mechanism, whic...
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ISBN:
(纸本)9781479903467
Purpose of this work is to develop norms, knowledge and algorithms that will make a real shift most of the educational process on the computer environment. On the basis of artificial neural networks, a mechanism, which allows taking into account, the subjective opinion of experts without requiring changes to the system. With the help of fuzzy logic developed an original method of monitoring the student's knowledge as closely mimics the behavior of the teacher in the student survey, which combines the power and brevity, not previously accessible to automated systems.
We present a novel canonical automaton model for languages over infinite data domains, that is suitable for specifying the behavior of services, protocol components, interfaces, etc. The model is based on register aut...
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Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from...
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In this paper, we show how to fully automatically infer semantic interfaces of data structures on the basis of systematic testing. Our semantic interfaces are a generalized form of Register Automata (RA), comprising p...
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The paper gives an overview of research devoted to developing a semi-automatic methodology of building a semantic model of medical diagnostic knowledge. The methodology is based on natural language processing methods ...
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Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from...
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Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from very large real world database. These databases contain potential gold mine of valuable information, but it is beyond human ability to analyze massive amount of data and elicit meaningful patterns by using conventional techniques. In this study, DNA sequence was analyzed to locate promoter which is a regulatory region of DNA located upstream of a gene, providing a control point for regulated gene transcription. In this study, some supervised learning algorithms such as artificial neural network (ANN), RULES-3 and newly developed keREM rule induction algorithm were used to analyse to DNA sequence. In the experiments different option of keREM, RULES-3 and ANN were used, and according to the empirical comparisons, the algorithms appeared to be comparable to well-known algorithms in terms of the accuracy of the extracted rule in classifying unseen data.
As a virtual experimental device for analysis and calculation of grown-in microdefects formation in undoped silicon dislocation-free single crystals the software is proposed. The software is built on the basis on diff...
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As a virtual experimental device for analysis and calculation of grown-in microdefects formation in undoped silicon dislocation-free single crystals the software is proposed. The software is built on the basis on diffusion model of formation, growth and coalescence of grown-in microdefects. Diffusion model describes kinetics of defect structure changes during cooling after growth on crystallization temperature to room temperature. The software allows the use of personal computer to investigate the defect structure of dislocation-free silicon single crystals with a diameter on 30 mm to 400 mm grown by floating-zone and Czochralski methods.
In this paper, we present the LearnLib, a library of tools for automata learning, which is explicitly designed for the systematic experimental analysis of the profile of available learning algorithms and corresponding...
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