Shape memory alloy is one of the materials classified as 'smart' materials. Its anomalous behaviour has gained more attention in the field of engineering. There are numerous mathematical models that have been developed to analyze its behaviour. In this paper, a newly developed constitutive model for shape memory alloy is presented. The features of the newly developed model are presented and compared with some of the existing models.
{"title":"A Newly Developed Alternative Way to Describe Shape Memory Alloy Behaviour","authors":"V. Msomi, G. Oliver, O. Philander, K. Sanusi","doi":"10.1109/ICCSA.2011.31","DOIUrl":"https://doi.org/10.1109/ICCSA.2011.31","url":null,"abstract":"Shape memory alloy is one of the materials classified as 'smart' materials. Its anomalous behaviour has gained more attention in the field of engineering. There are numerous mathematical models that have been developed to analyze its behaviour. In this paper, a newly developed constitutive model for shape memory alloy is presented. The features of the newly developed model are presented and compared with some of the existing models.","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115254194","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}
In this paper first a system of ordinary differential equations is formulated for an extended SIR influenza model. In our model, the emergence of drug resistance and the evolution of resistant strains are assumed. As a result, the coexistence of sensitive and resistant strains leads to the occurrence of consecutive epidemic waves during the disease infection. We employ two main control strategies: prophylaxis and antiviral treatment to study their influences in eradicating or mitigating the outbreak. Then we develop a deterministic model to a SDE form for taking into consideration the stochasticity of drug resistance spread. The basic reproduction numbers and the control reproduction numbers are calculated for the sensitive and resistant strains. Also we discuss the numerical results obtained for the final size of the epidemic from both, the deterministic and stochastic models.
{"title":"Controlling an Influenza Outbreak in Deterministic and Stochastic Models with the Emergence and Evolution of Drug Resistance","authors":"F. S. Salehi, S. Hashemi","doi":"10.1109/ICCSA.2011.66","DOIUrl":"https://doi.org/10.1109/ICCSA.2011.66","url":null,"abstract":"In this paper first a system of ordinary differential equations is formulated for an extended SIR influenza model. In our model, the emergence of drug resistance and the evolution of resistant strains are assumed. As a result, the coexistence of sensitive and resistant strains leads to the occurrence of consecutive epidemic waves during the disease infection. We employ two main control strategies: prophylaxis and antiviral treatment to study their influences in eradicating or mitigating the outbreak. Then we develop a deterministic model to a SDE form for taking into consideration the stochasticity of drug resistance spread. The basic reproduction numbers and the control reproduction numbers are calculated for the sensitive and resistant strains. Also we discuss the numerical results obtained for the final size of the epidemic from both, the deterministic and stochastic models.","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131081397","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}
Soil pollutant concentrations such as heavy metal Cr, Cu, Ni, and Zn were collected at 1082 sampling sites in Changhua county of Taiwan. This study applies a spatial autocorrelation analysis for identifying multiple soil pollution hotspots based on original and re-sampling data in the study area. Results show that the multiple hotspots for four heavy metals and are strongly related to the locations of industrial plants and irrigation systems in the study area. Soil pollution hotspots are clearly defined based on the LISA (local indicators of spatial association) cluster maps. The cluster maps show a clear spatial autocorrelation of soil pollutants in cLHS samples, especially for Cr. Furthermore, the maps explore the spatial patterns of hazards and capture the hotspot areas without exhaustive sampling in the study area.
对台湾省彰化县1082个采样点的土壤重金属Cr、Cu、Ni、Zn等污染物浓度进行了监测。本研究基于研究区原始和重采样数据，采用空间自相关分析方法识别多个土壤污染热点。结果表明，四种重金属的多重热点与研究区工业厂房和灌溉系统的位置密切相关。基于LISA (local indicators of spatial association)聚类图，明确了土壤污染热点。聚类图显示了cLHS样品中土壤污染物的空间自相关性，特别是Cr。此外，聚类图探索了危害的空间格局，并捕获了研究区域的热点区域，而不是穷尽采样。
{"title":"Spatial Autocorrelation Analysis of Soil Pollution Data in Central Taiwan","authors":"Hone‐Jay Chu, Yu-Pin Lin, Tsun-Kuo Chang","doi":"10.1109/ICCSA.2011.38","DOIUrl":"https://doi.org/10.1109/ICCSA.2011.38","url":null,"abstract":"Soil pollutant concentrations such as heavy metal Cr, Cu, Ni, and Zn were collected at 1082 sampling sites in Changhua county of Taiwan. This study applies a spatial autocorrelation analysis for identifying multiple soil pollution hotspots based on original and re-sampling data in the study area. Results show that the multiple hotspots for four heavy metals and are strongly related to the locations of industrial plants and irrigation systems in the study area. Soil pollution hotspots are clearly defined based on the LISA (local indicators of spatial association) cluster maps. The cluster maps show a clear spatial autocorrelation of soil pollutants in cLHS samples, especially for Cr. Furthermore, the maps explore the spatial patterns of hazards and capture the hotspot areas without exhaustive sampling in the study area.","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255592","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}
S. Ji, Beom Seok Lee, K. I. Kang, Sung Gook Kim, Cheol-Won Lee, Oh-young Song, J. Choeh, R. Baik, S. Baik
This paper proposes a new method of creating 3D visual data cubes for high volume/dimension OLAP data analysis with intuitive region selection. Previous methods construct data cubes directly from a data warehouse and build table format cubes with multi-dimensional attributes, in order to specify target ranges for analysis. However, it is a difficult task to select appropriate attributes and their ranges from high cardinality of dimensions with hierarchical structure. The new method reduces the number of dimensions according to the levels of relationship, then confines analysis target ranges with intuitive 3D graphical interface to build an analysis target cube.
{"title":"A Study on the Generation of OLAP Data Cube Based on 3D Visualization Interaction","authors":"S. Ji, Beom Seok Lee, K. I. Kang, Sung Gook Kim, Cheol-Won Lee, Oh-young Song, J. Choeh, R. Baik, S. Baik","doi":"10.1109/ICCSA.2011.40","DOIUrl":"https://doi.org/10.1109/ICCSA.2011.40","url":null,"abstract":"This paper proposes a new method of creating 3D visual data cubes for high volume/dimension OLAP data analysis with intuitive region selection. Previous methods construct data cubes directly from a data warehouse and build table format cubes with multi-dimensional attributes, in order to specify target ranges for analysis. However, it is a difficult task to select appropriate attributes and their ranges from high cardinality of dimensions with hierarchical structure. The new method reduces the number of dimensions according to the levels of relationship, then confines analysis target ranges with intuitive 3D graphical interface to build an analysis target cube.","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"11 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113931882","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}
In literature several correlation filters have been proposed for image recognition. Traditionally linear correlation is applied among the images for this purpose, however, the operation is not robust when images are corrupted with non-Gaussian noise. In this paper we propose the use of morphological correlation combined with nonlinear filters for robust image recognition. Performance of the proposed technique is compared with that of classical linear filtering in terms of discrimination capability. Computer simulation results are provided and discussed.
{"title":"Morphological Correlation for Robust Image Recognition","authors":"Saúl Martínez-Díaz, V. Kober","doi":"10.1109/ICCSA.2011.25","DOIUrl":"https://doi.org/10.1109/ICCSA.2011.25","url":null,"abstract":"In literature several correlation filters have been proposed for image recognition. Traditionally linear correlation is applied among the images for this purpose, however, the operation is not robust when images are corrupted with non-Gaussian noise. In this paper we propose the use of morphological correlation combined with nonlinear filters for robust image recognition. Performance of the proposed technique is compared with that of classical linear filtering in terms of discrimination capability. Computer simulation results are provided and discussed.","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133466529","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}
This paper introduces QC2AS which is a newly designed and developed computer algebra system for symbolic quantum chemical computations. With the rapid advancement of computer, the concern with high-level model chemistry has been growing. To handle such models, it is necessary to manipulate huge algebraic formulas. QC2AS has been designed to handle algebraic formulas appeared in quantum chemistry and it provides an access to our computer algebraic techniques without knowing the background theories. In this paper, we introduce its features and the architecture with some illustrative examples. This is the first report about the development of QC2AS.
{"title":"Development of QC2AS -- A Computer Algebra System for Symbolic Quantum Chemical Computations","authors":"Takeshi Osoekawa, Y. Mochizuki, K. Yokoyama","doi":"10.1109/ICCSA.2011.39","DOIUrl":"https://doi.org/10.1109/ICCSA.2011.39","url":null,"abstract":"This paper introduces QC2AS which is a newly designed and developed computer algebra system for symbolic quantum chemical computations. With the rapid advancement of computer, the concern with high-level model chemistry has been growing. To handle such models, it is necessary to manipulate huge algebraic formulas. QC2AS has been designed to handle algebraic formulas appeared in quantum chemistry and it provides an access to our computer algebraic techniques without knowing the background theories. In this paper, we introduce its features and the architecture with some illustrative examples. This is the first report about the development of QC2AS.","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125391644","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}
A sub-ontology extracted from its base ontology data contains only the concepts and relationships pertaining to the information required by the user. Sub-ontology extraction and sub-ontology tailoring are then viewed as possible solutions to efficiently utilize large-scale ontology data sparsely distributed on a Semantic Grid environment. This shall contribute to reduce the communication overhead in transporting the ontology data, increase the processing performance, improve the reliability in aggregating the required ontology/sub-ontology, and improve the tailoring process of sub-ontology reuse. This paper discussed preliminary experiments as a showcase to illustrate sub ontology extraction and tailoring on a prototype Semantic Grid environment. Functional analysis and discussion of the results are described.
{"title":"Experiments and Functional Analysis in Integrating Sub-ontology Extraction and Tailoring","authors":"Toshihiro Uchibayashi, B. Apduhan, N. Shiratori","doi":"10.1109/ICCSA.2011.71","DOIUrl":"https://doi.org/10.1109/ICCSA.2011.71","url":null,"abstract":"A sub-ontology extracted from its base ontology data contains only the concepts and relationships pertaining to the information required by the user. Sub-ontology extraction and sub-ontology tailoring are then viewed as possible solutions to efficiently utilize large-scale ontology data sparsely distributed on a Semantic Grid environment. This shall contribute to reduce the communication overhead in transporting the ontology data, increase the processing performance, improve the reliability in aggregating the required ontology/sub-ontology, and improve the tailoring process of sub-ontology reuse. This paper discussed preliminary experiments as a showcase to illustrate sub ontology extraction and tailoring on a prototype Semantic Grid environment. Functional analysis and discussion of the results are described.","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126324776","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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