The Experts below are selected from a list of 147 Experts worldwide ranked by ideXlab platform
Xinyu Zhang - One of the best experts on this subject based on the ideXlab platform.
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Research on Data processing in E-Learning Standard Test System
2012 International Conference on Systems and Informatics (ICSAI2012), 2012Co-Authors: Qian Wang, Xinyu Zhang, Naijia LiuAbstract:In order to solve the problem of different Data formats in E-Learning Standard Test System, this paper translates each CELTS sub-standard from their own natural language format into XML schema document. The author writes out an independent XML parsing and validating package, which can automatically build up an Internal Data Structure from each translated XML schema document. The author uses this private Data Structure to validate the XML Data document. This innovation is applied in E-Learning standard test system successfully. It makes the whole test system more rigorous and maintainable.
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WBL - A New Approach for Education Information System's Compliance Test with the CELTS Standard Based Upon XML Processing Technology
Lecture Notes in Computer Science, 2008Co-Authors: Yi Dou, Xinyu ZhangAbstract:The paper designed a new system to test education information system's compliance with the national CELTS standard. The new system is composed of three loosely coupled components: the XML schema documents translated from the CELTS standard, the XML parsing and validating package and the program interface. The XML parsing and validating package is the heart of the system. It automatically parses the XML schema documents fed into the system, and then, builds up an Internal Data Structure for the successive validating process. This approach is proved to be a great success, which decouples the XML schema documents and the XML Data documents and makes the whole system more adaptable to the evolution of the CELTS standard.
Helwig Hauser - One of the best experts on this subject based on the ideXlab platform.
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Interactive Visual Analysis of Families of Function Graphs
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Z. Konyha, Kresimir Matkovic, Denis Gracanin, Mario Jelovic, Helwig HauserAbstract:The analysis and exploration of multidimensional and multivariate Data is still one of the most challenging areas in the field of visualization. In this paper, we describe an approach to visual analysis of an especially challenging set of problems that exhibit a complex Internal Data Structure. We describe the interactive visual exploration and analysis of Data that includes several (usually large) families of function graphs fi(x, t). We describe analysis procedures and practical aspects of the interactive visual analysis specific to this type of Data (with emphasis on the function graph characteristic of the Data). We adopted the well-proven approach of multiple, linked views with advanced interactive brushing to assess the Data. Standard views such as histograms, scatterplots, and parallel coordinates are used to jointly visualize Data. We support iterative visual analysis by providing means to create complex, composite brushes that span multiple views and that are constructed using different combination schemes. We demonstrate that engineering applications represent a challenging but very applicable area for visual analytics. As a case study, we describe the optimization of a fuel injection system in diesel engines of passenger cars
Z. Konyha - One of the best experts on this subject based on the ideXlab platform.
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Interactive Visual Analysis of Families of Function Graphs
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Z. Konyha, Kresimir Matkovic, Denis Gracanin, Mario Jelovic, Helwig HauserAbstract:The analysis and exploration of multidimensional and multivariate Data is still one of the most challenging areas in the field of visualization. In this paper, we describe an approach to visual analysis of an especially challenging set of problems that exhibit a complex Internal Data Structure. We describe the interactive visual exploration and analysis of Data that includes several (usually large) families of function graphs fi(x, t). We describe analysis procedures and practical aspects of the interactive visual analysis specific to this type of Data (with emphasis on the function graph characteristic of the Data). We adopted the well-proven approach of multiple, linked views with advanced interactive brushing to assess the Data. Standard views such as histograms, scatterplots, and parallel coordinates are used to jointly visualize Data. We support iterative visual analysis by providing means to create complex, composite brushes that span multiple views and that are constructed using different combination schemes. We demonstrate that engineering applications represent a challenging but very applicable area for visual analytics. As a case study, we describe the optimization of a fuel injection system in diesel engines of passenger cars
Yi Dou - One of the best experts on this subject based on the ideXlab platform.
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WBL - A New Approach for Education Information System's Compliance Test with the CELTS Standard Based Upon XML Processing Technology
Lecture Notes in Computer Science, 2008Co-Authors: Yi Dou, Xinyu ZhangAbstract:The paper designed a new system to test education information system's compliance with the national CELTS standard. The new system is composed of three loosely coupled components: the XML schema documents translated from the CELTS standard, the XML parsing and validating package and the program interface. The XML parsing and validating package is the heart of the system. It automatically parses the XML schema documents fed into the system, and then, builds up an Internal Data Structure for the successive validating process. This approach is proved to be a great success, which decouples the XML schema documents and the XML Data documents and makes the whole system more adaptable to the evolution of the CELTS standard.
Kresimir Matkovic - One of the best experts on this subject based on the ideXlab platform.
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Interactive Visual Analysis of Families of Function Graphs
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Z. Konyha, Kresimir Matkovic, Denis Gracanin, Mario Jelovic, Helwig HauserAbstract:The analysis and exploration of multidimensional and multivariate Data is still one of the most challenging areas in the field of visualization. In this paper, we describe an approach to visual analysis of an especially challenging set of problems that exhibit a complex Internal Data Structure. We describe the interactive visual exploration and analysis of Data that includes several (usually large) families of function graphs fi(x, t). We describe analysis procedures and practical aspects of the interactive visual analysis specific to this type of Data (with emphasis on the function graph characteristic of the Data). We adopted the well-proven approach of multiple, linked views with advanced interactive brushing to assess the Data. Standard views such as histograms, scatterplots, and parallel coordinates are used to jointly visualize Data. We support iterative visual analysis by providing means to create complex, composite brushes that span multiple views and that are constructed using different combination schemes. We demonstrate that engineering applications represent a challenging but very applicable area for visual analytics. As a case study, we describe the optimization of a fuel injection system in diesel engines of passenger cars