Pub Date : 2013-08-13DOI: 10.1142/S1793962313410031
Kyoko Hasegawa, S. Ojima, Yoshiyuki Shimokubo, S. Nakata, K. Hachimura, Satoshi Tanaka
This paper proposes a method to create 3D fusion images, such as volume–volume, volume–surface, and surface–surface fusion. Our method is based on the particle-based rendering, which uses tiny particles as rendering primitives. The method can create natural and comprehensible 3D fusion images simply by merging particles prepared for each element to be fused. Moreover, the method does not require particle sorting along the line of sight to realize right depth feel. We apply our method to realize comprehensible visualization of medical volume data.
{"title":"PARTICLE-BASED TRANSPARENT FUSED VISUALIZATION APPLIED TO MEDICAL VOLUME DATA","authors":"Kyoko Hasegawa, S. Ojima, Yoshiyuki Shimokubo, S. Nakata, K. Hachimura, Satoshi Tanaka","doi":"10.1142/S1793962313410031","DOIUrl":"https://doi.org/10.1142/S1793962313410031","url":null,"abstract":"This paper proposes a method to create 3D fusion images, such as volume–volume, volume–surface, and surface–surface fusion. Our method is based on the particle-based rendering, which uses tiny particles as rendering primitives. The method can create natural and comprehensible 3D fusion images simply by merging particles prepared for each element to be fused. Moreover, the method does not require particle sorting along the line of sight to realize right depth feel. We apply our method to realize comprehensible visualization of medical volume data.","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2013-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76437648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-08-13DOI: 10.1142/S1793962313410043
A. Bondarev, V. Galaktionov
The paper presents an approach to fast approximate estimation of conditions for space-time structures appearing in the flows. The approach is based on combination of optimization problem computation with methods of data visual presentation. The visual presentation methods are applied for analysis of multidimensional array containing discrete result data. Optimization problem solution is implemented by parallel computation in a multitask form. For some cases, the approach allows to obtain for control parameter of considered problem the sought-for approximate dependence on characteristic parameters in a quasi-analytical form.
{"title":"PARAMETRIC OPTIMIZING ANALYSIS OF UNSTEADY STRUCTURES AND VISUALIZATION OF MULTIDIMENSIONAL DATA","authors":"A. Bondarev, V. Galaktionov","doi":"10.1142/S1793962313410043","DOIUrl":"https://doi.org/10.1142/S1793962313410043","url":null,"abstract":"The paper presents an approach to fast approximate estimation of conditions for space-time structures appearing in the flows. The approach is based on combination of optimization problem computation with methods of data visual presentation. The visual presentation methods are applied for analysis of multidimensional array containing discrete result data. Optimization problem solution is implemented by parallel computation in a multitask form. For some cases, the approach allows to obtain for control parameter of considered problem the sought-for approximate dependence on characteristic parameters in a quasi-analytical form.","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2013-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91171605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-09-27DOI: 10.1142/S1793962312500213
G. A. Aal, M. Nassar
{"title":"EXPERIMENTAL AND THEORETICAL STUDY INVESTIGATING FLOW CHARACTERISTICS OVER SPILLWAY STRUCTURES","authors":"G. A. Aal, M. Nassar","doi":"10.1142/S1793962312500213","DOIUrl":"https://doi.org/10.1142/S1793962312500213","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2012-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80792513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-03-01DOI: 10.1142/S1793962310000079
T. Ören
The discipline of modeling and simulation (M&S) is advancing, maturing, and is being used in more and more challenging areas. Appreciation of its comprehensive and integrative view, i.e., its big picture would be very useful for its continued and systematic growth and successful applications. The article starts with a rationale for the needs to see the big picture of M&S and ways to see the big picture. Since M&S is closely related with reality and its representations i.e., models, reality/model dichotomy is clarified. As the core of the article, detailed perceptions of M&S from different perspectives such as: purpose of use, problem to be solved, connectivity of operations, and types of knowledge processing are clarified. Then, three aspects of ways to increase the trustworthiness of M&S are outlined (i.e., validation and verification (V&V), quality assurance (QA), and failure avoidance (FA). The article ends with a discussion of M&S from the perspective of professionalism. Some recommendations or challenges are still open for implementations for the success of M&S.
{"title":"SIMULATION AND REALITY: THE BIG PICTURE","authors":"T. Ören","doi":"10.1142/S1793962310000079","DOIUrl":"https://doi.org/10.1142/S1793962310000079","url":null,"abstract":"The discipline of modeling and simulation (M&S) is advancing, maturing, and is being used in more and more challenging areas. Appreciation of its comprehensive and integrative view, i.e., its big picture would be very useful for its continued and systematic growth and successful applications. The article starts with a rationale for the needs to see the big picture of M&S and ways to see the big picture. Since M&S is closely related with reality and its representations i.e., models, reality/model dichotomy is clarified. As the core of the article, detailed perceptions of M&S from different perspectives such as: purpose of use, problem to be solved, connectivity of operations, and types of knowledge processing are clarified. Then, three aspects of ways to increase the trustworthiness of M&S are outlined (i.e., validation and verification (V&V), quality assurance (QA), and failure avoidance (FA). The article ends with a discussion of M&S from the perspective of professionalism. Some recommendations or challenges are still open for implementations for the success of M&S.","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86139978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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