Visual accessibility appears not to be the essential priority of artists when they produce an artwork. However, they do not choose colors randomly but depending on the message they want to deliver, which can be partia...
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ISBN:
(纸本)9789814619967
Visual accessibility appears not to be the essential priority of artists when they produce an artwork. However, they do not choose colors randomly but depending on the message they want to deliver, which can be partially or entirely misunderstood by people with vision problems. This paper proposes to study the possibility of using expressive post-processing effects which can be applied on any kind of 2D image sequence and which allow to improve image perception for many kinds of visual impairments.
To find the influence on clustering result of load curves using different clustering algorithms with different data normalization methods, seven data normalization methods are used with k-means, fuzzy c-means, SOM clu...
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ISBN:
(纸本)9789814619967
To find the influence on clustering result of load curves using different clustering algorithms with different data normalization methods, seven data normalization methods are used with k-means, fuzzy c-means, SOM clustering algorithm for clustering load curves and their influences on the clustering results are analyzed in this paper, the matching relations between normalization methods and clustering algorithms are obtained. Numerical examples show data normalization methods have different influences on clustering results using the same clustering algorithm.
Linguistic truth-valued intuitionistic fuzzy lattice LI2n = (LI2n,U, boolean AND, ->, ((h(n), f), (h(n), f))), ((h(1), t), (h(1), f)) based on linguistic truth-valued lattice implication algebra has some special pr...
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ISBN:
(纸本)9789814619967
Linguistic truth-valued intuitionistic fuzzy lattice LI2n = (LI2n,U, boolean AND, ->, ((h(n), f), (h(n), f))), ((h(1), t), (h(1), f)) based on linguistic truth-valued lattice implication algebra has some special properties. We proof that linguistic truth valued intuitionistic fuzzy lattice is a triangle algebra. We obtain some triangle algebra structure of LI2n.
Every company occasionally deals with the problem of hiring new staff. The issue of selecting of a suitable candidate for a job is often very complicated and many criteria enter the selection and hiring process. This ...
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ISBN:
(纸本)9789814619967
Every company occasionally deals with the problem of hiring new staff. The issue of selecting of a suitable candidate for a job is often very complicated and many criteria enter the selection and hiring process. This paper proposes an expert system for the selection of the most suitable applicants for employment. A part of the proposed approach is the definition of criteria for selection of suitable applicants and lining to the database of all applicants. Furthermore, this paper introduces each part of the proposed expert system and all the steps are verified on a specific example.
There are many university websites on internet. These websites can be considered as external information resources on the internet that academic institutions or students can use this external resources in order to imp...
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ISBN:
(纸本)9789814619967
There are many university websites on internet. These websites can be considered as external information resources on the internet that academic institutions or students can use this external resources in order to improve their decision making process. It is therefore, very important and critical that the information of these external resources can be acquired precisely and on time. Most university web sites provide data in a semi-structured form on the internet. The combination of semi-structured data from different sources on the internet often fails because of syntactic and semantic differences. The access, retrieval and utilization of information from the different websites impose a need for the data to be integrated. Integration of web data is a complex process because of the heterogeneity nature of web data and thus needs some kind of a web data integration system. There are many types of heterogeneity and differences among university websites that makes data integration a difficult process (e.g., different data model, different syntax and semantics in schema and data instance level among web sources). In this paper, we recommend a system architecture for web data integration focusing on resolving the problems of semantic heterogeneity between university websites. We propose an ontology-based approach as a solution for the reconciliation of semantic conflicts between websites of universities and then develop a prototype of the proposed system for universities.
To weaken the effects of those experts' weights that far away from the center of opinions in decision-making approach for assessing the performances of candidates in many major competitions, this paper proposes a ...
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ISBN:
(纸本)9789814619967
To weaken the effects of those experts' weights that far away from the center of opinions in decision-making approach for assessing the performances of candidates in many major competitions, this paper proposes a weight determination method of experts in group decision based on the difference value, which can effectively weaken the effects of extreme scores in group decision making and centralize the experts' opinions for achieving consensus. A case study is demonstrated to illustrate this method and the results indicate the effectiveness.
Aiming to handle logical formulae with equality in lattice-valued logic, this paper focuses on alpha-paramodulation for lattice-valued logic with equality. Firstly, the axioms of equality and their related properties ...
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ISBN:
(纸本)9789814619967
Aiming to handle logical formulae with equality in lattice-valued logic, this paper focuses on alpha-paramodulation for lattice-valued logic with equality. Firstly, the axioms of equality and their related properties in lattice-valued logic are presented. Then the concept of alpha-paramodulation is given, which is the essential rule for processing logical formulae with equality. Finally, the soundness of alpha-paramodulation is established.
Histogram modification techniques are an important tool for image enhancement. However, the efficiency of most of these techniques is limited due to the lack of mechanisms to differentiate between pixels that have the...
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ISBN:
(纸本)9789814619967
Histogram modification techniques are an important tool for image enhancement. However, the efficiency of most of these techniques is limited due to the lack of mechanisms to differentiate between pixels that have the same intensity but belong to regions which are semantically distinct. In this paper, a method for histogram equalization, able to selectively modify each pixel in a digital image based on the context established by its neighboring pixels is proposed. This method emulates the decision-making process used by living organisms to recognize patterns, as described by the Gestalt theory.
This paper proposes a formal framework which represents the composite human activity under consideration by a hierarchical ordering structure and discusses how they can be modelled and transferred into a formal syntac...
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ISBN:
(纸本)9789814619967
This paper proposes a formal framework which represents the composite human activity under consideration by a hierarchical ordering structure and discusses how they can be modelled and transferred into a formal syntactical logical formula, i.e., logical predicate algebra. This has placed a foundation for recognizing the composite activity based on the transformed logical formulas using automated reasoning methodology.
In this paper, an efficient online learning approach is proposed for Support Vector Regression (SVR) by combining Feature Vector Selection (FVS) and incremental learning. FVS is used to reduce the size of the training...
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ISBN:
(纸本)9789814619967
In this paper, an efficient online learning approach is proposed for Support Vector Regression (SVR) by combining Feature Vector Selection (FVS) and incremental learning. FVS is used to reduce the size of the training data set and serves as model update criterion. Incremental learning can "adiabatically" add a new Feature Vector (FV) in the model, while retaining the Kuhn-Tucker conditions. The proposed approach can be applied for both online training & learning and offline training & online learning. The results on a real case study concerning data for anomaly prediction in a component of a power generation system show the satisfactory performance and efficiency of this learning paradigm.
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