In this paper a performance analysis in a cluster system of the parallel single front genetic algorithm (PSFGA) is carried out. The PSFGA is a parallel evolutionary optimizer for multiobjective problems that use a str...
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A concept and practical implementation of a crowd management system which acquires input data by the set of monitoring cameras is presented. Two leading threads are considered. First concerns the crowd behavior analys...
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The quality of a classic software engineering process depends on the completeness of project documents and on the inter-phase consistency. In this paper, a method for passing from the requirement specification to the ...
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ISBN:
(纸本)9788360779026
The quality of a classic software engineering process depends on the completeness of project documents and on the inter-phase consistency. In this paper, a method for passing from the requirement specification to the class model is proposed. First, a developer browses the text of the requirements, extracts the word sequences, and places them as terms into the glossary. Next, the internal ontology logic for the glossary needs to be elaborated. External ontology sources, as Wikipedia or domain ontology services, may be used to support this stage. At the end, the newly built ontology is transformed to the class model. The whole process may be supported with semi-automated, interactive tools. The result should be the class model with better completeness and consistency than using traditional methods.
Visual textures in images are usually described by humans using linguistic terms related to their perceptual properties, like "very coarse", "low directional", or "high contrasted". Howev...
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The analysis of the perceptual properties of texture plays a fundamental role in tasks where some interaction with subjects is needed. In order to face the imprecision related to these properties, several fuzzy approa...
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TSK models are a very powerful tool for function approximation problems given a dataset of input/output data. Given a global error function to approximate, there are several methodologies for training (adjust the para...
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There exists a wide range of paradigms and a high number of different methodologies applied to the problem of Time Series Prediction. Most of them are presented as a modified function approximation problem using I/O d...
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An analysis of the data dependencies in the Conjugate Gradient iterative method for the solution of narrow band systems is performed in order to develop and implement a mixed OpenMP-MPI code which takes into account t...
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Several methodologies for function approximation using TSK systems make use of clustering techniques to place the rules in the input space. Nevertheless classical clustering algorithms are more related to unsupervised...
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This paper reviews and analyzes the performance of the TaSe-II model, carrying out a statistical comparison among different TSK fuzzy system configurations for function approximation. The TaSe-II model, using a specia...
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