The non destructive testing system of the reinforcement corrosion is employed to observe the temperature on the concrete surface. This system is useful in case that the position of the corrosion region is investigated. However, the shape of the reinforcement corrosion can not be numerically measured, even if this system is applied. Therefore, we develop the numerical shape estimation system of the reinforcement corrosion in the concrete using the temperature on the concrete surface observed by the non destructive testing system. In addition, if the corrosion partially occurs on the reinforcement bar in the concrete, it is necessary to examine the shape of the reinforcement corrosion by using the 3D model. Therefore, the numerical shape estimation system of the reinforcement corrosion is developed for the 3D model, and the results of the numerical experiment are shown in this paper.
{"title":"Evaluation of 3D Reinforcement Corrosion Shape in Concrete Based on Observed Temperature on Concrete Surface","authors":"T. Kurahashi, H. Oshita","doi":"10.1109/CSO.2010.43","DOIUrl":"https://doi.org/10.1109/CSO.2010.43","url":null,"abstract":"The non destructive testing system of the reinforcement corrosion is employed to observe the temperature on the concrete surface. This system is useful in case that the position of the corrosion region is investigated. However, the shape of the reinforcement corrosion can not be numerically measured, even if this system is applied. Therefore, we develop the numerical shape estimation system of the reinforcement corrosion in the concrete using the temperature on the concrete surface observed by the non destructive testing system. In addition, if the corrosion partially occurs on the reinforcement bar in the concrete, it is necessary to examine the shape of the reinforcement corrosion by using the 3D model. Therefore, the numerical shape estimation system of the reinforcement corrosion is developed for the 3D model, and the results of the numerical experiment are shown in this paper.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131620160","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}
Multi-documents summarization is an important research area of NLP. Most methods or techniques of multidocument summarization either consider the documents collection as single-topic or treat every sentence as single-topic only, but lack of a systematic analysis of the subtopic semantics hiding inside the documents. This paper presents a Subtopic-based Multi-documents Summarization (SubTMS) method. It adopts probabilistic topic model to discover the subtopic information inside every sentence and uses a suitable hierarchical subtopic structure to describe both the whole documents collection and all sentences in it. With the sentences represented as subtopic vectors, it assesses the semantic distances of sentences from the documents collection’s main subtopics and chooses sentences which have short distance as the final summary of the documents collection. In the experiments on DUC 2007 dataset, we have found that: when training a topic’s documents collection with some other topics’ documents collections as background knowledge, our approach can achieve fairly better ROUGE scores compared to other peer systems.
{"title":"Subtopic-based Multi-documents Summarization","authors":"Shu Gong, Y. Qu, Shengfeng Tian","doi":"10.1109/CSO.2010.239","DOIUrl":"https://doi.org/10.1109/CSO.2010.239","url":null,"abstract":"Multi-documents summarization is an important research area of NLP. Most methods or techniques of multidocument summarization either consider the documents collection as single-topic or treat every sentence as single-topic only, but lack of a systematic analysis of the subtopic semantics hiding inside the documents. This paper presents a Subtopic-based Multi-documents Summarization (SubTMS) method. It adopts probabilistic topic model to discover the subtopic information inside every sentence and uses a suitable hierarchical subtopic structure to describe both the whole documents collection and all sentences in it. With the sentences represented as subtopic vectors, it assesses the semantic distances of sentences from the documents collection’s main subtopics and chooses sentences which have short distance as the final summary of the documents collection. In the experiments on DUC 2007 dataset, we have found that: when training a topic’s documents collection with some other topics’ documents collections as background knowledge, our approach can achieve fairly better ROUGE scores compared to other peer systems.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217874","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 class of fractional semi-infinite programming is concerned; a new class of generalized convex function called Fε-G Convex function and related nonconvex functions are defined, which generalize some of the present convex functions. In the framework of the new concept, some interesting sufficient conditions of ε-optimality solutions are derived for the programming. These results obtained not only extend some of the present researches, but also can be apply to the questions occur in resource allocation, stock cutting problem in paper industry, agricultural planning and portfolio selection etc. Theoretically, they are helpful to studying fractional semiinfinite programming.
{"title":"Epsilon-Optimality Conditions for a Class of F epsilon-G Convex Fractional Semi-infinite Programming","authors":"Yong Yang","doi":"10.1109/CSO.2010.215","DOIUrl":"https://doi.org/10.1109/CSO.2010.215","url":null,"abstract":"A class of fractional semi-infinite programming is concerned; a new class of generalized convex function called Fε-G Convex function and related nonconvex functions are defined, which generalize some of the present convex functions. In the framework of the new concept, some interesting sufficient conditions of ε-optimality solutions are derived for the programming. These results obtained not only extend some of the present researches, but also can be apply to the questions occur in resource allocation, stock cutting problem in paper industry, agricultural planning and portfolio selection etc. Theoretically, they are helpful to studying fractional semiinfinite programming.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132973123","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 multi-regional economic network model is constructed to describe open economic systems. The model is used to study the strength of fluctuation in such open economic systems. We find a hidden feedback mechanism in the economic network. In comparison with the corresponding closed system, the open system has positive feedback, and thereby suffers stronger fluctuation if the open system gains from a positive trade balance. On the contrary, the open system turns into a negative feedback system, and thereby enjoys weaker fluctuation if the open system suffers from a negative trade balance. Furthermore, we find a negative correlation between openness and fluctuation, which conforms to the empirical result obtained by Romer. This negative correlation between openness and fluctuation is explained by the hidden feedback mechanism.
{"title":"Fluctuation in a Multi-region Economic Network","authors":"H. Fan","doi":"10.1109/CSO.2010.52","DOIUrl":"https://doi.org/10.1109/CSO.2010.52","url":null,"abstract":"A multi-regional economic network model is constructed to describe open economic systems. The model is used to study the strength of fluctuation in such open economic systems. We find a hidden feedback mechanism in the economic network. In comparison with the corresponding closed system, the open system has positive feedback, and thereby suffers stronger fluctuation if the open system gains from a positive trade balance. On the contrary, the open system turns into a negative feedback system, and thereby enjoys weaker fluctuation if the open system suffers from a negative trade balance. Furthermore, we find a negative correlation between openness and fluctuation, which conforms to the empirical result obtained by Romer. This negative correlation between openness and fluctuation is explained by the hidden feedback mechanism.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128848025","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}
Numerical is a a classical ill-posed problem. In this paper, we propose a new method for numerical differentiation of bivariate functions. The truncated singular value decomposition (TSVD)regularization approach of weighted generalized solution for reasonable equations has been introduced to deal with the ill-posed ness of the problem. We show that the method can be realized by the discrete sine transform. Theoretical and numerical results show that the method is effective.
{"title":"The TSVD Method for Numerical Differentiation of 2D Functions","authors":"Zhen-yu Zhao, C. Yue","doi":"10.1109/CSO.2010.11","DOIUrl":"https://doi.org/10.1109/CSO.2010.11","url":null,"abstract":"Numerical is a a classical ill-posed problem. In this paper, we propose a new method for numerical differentiation of bivariate functions. The truncated singular value decomposition (TSVD)regularization approach of weighted generalized solution for reasonable equations has been introduced to deal with the ill-posed ness of the problem. We show that the method can be realized by the discrete sine transform. Theoretical and numerical results show that the method is effective.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129059195","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}
The concept of response factor and its significances are briefly introduced in this paper. The existing response decision-making models and their related response factors are presented. According to the practical meaning of these response factors, their names are unified for the convenience of discussion. The statistics of response factors in typical response decision-making models are made, meanwhile these response factors are classified according to the proposed standards including related feature, subjective and objective feature, and original feature. In order to choose proper factors in response time decision-making and response measure decision-making processes respectively, a taxonomy of response factors is given. In addition, the problems of the improper response factor used in existing response decision-making models are indicated in the paper. The architecture, response decision-making process and experiments of the intrusion detection alert management & intrusion response system (IDAM&IRS) are shown. Especially, response factors used in IDAM&IRS are discussed in detail. The role and function of response factors are summarized at last.
{"title":"Analysis of Response Factors in Intrusion Response Decision-Making","authors":"C. Mu, Bing Shuai, Haifeng Liu","doi":"10.1109/CSO.2010.30","DOIUrl":"https://doi.org/10.1109/CSO.2010.30","url":null,"abstract":"The concept of response factor and its significances are briefly introduced in this paper. The existing response decision-making models and their related response factors are presented. According to the practical meaning of these response factors, their names are unified for the convenience of discussion. The statistics of response factors in typical response decision-making models are made, meanwhile these response factors are classified according to the proposed standards including related feature, subjective and objective feature, and original feature. In order to choose proper factors in response time decision-making and response measure decision-making processes respectively, a taxonomy of response factors is given. In addition, the problems of the improper response factor used in existing response decision-making models are indicated in the paper. The architecture, response decision-making process and experiments of the intrusion detection alert management & intrusion response system (IDAM&IRS) are shown. Especially, response factors used in IDAM&IRS are discussed in detail. The role and function of response factors are summarized at last.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117027632","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}
Hua Dong, Shengjun Hong, Xiaomin Xu, Yanghua Xiao, Li Jin, M. Xiong
Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a meta-analysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: NDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by meta-analysis, 3722 genes were significant (p-value
{"title":"Meta-analysis and Network Analysis of Five Ovarian Cancer Gene Expression Dataset","authors":"Hua Dong, Shengjun Hong, Xiaomin Xu, Yanghua Xiao, Li Jin, M. Xiong","doi":"10.1109/CSO.2010.245","DOIUrl":"https://doi.org/10.1109/CSO.2010.245","url":null,"abstract":"Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a meta-analysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: NDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by meta-analysis, 3722 genes were significant (p-value","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116300362","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}
Thread pooling is an important technique of performance optimization in middleware. With the consideration of the features of Internet applications, the configuration of thread pool in middleware needs to be adjusted dynamically on the basis of perceiving the run-time context. However, how to find out effective influencing factors which make the adjustment to have better adaptability remains to be discussed further. The paper firstly presents a thread pool model in context of Web application server based on M/M/1/K/•/FCFS queuing system. A dynamic mechanism which imports certain of heuristic factors for reflecting the context at run-time is studied to adjust the size of thread pool so as to adapt to the changes of resources well. The prototypical experiments verify the effective influence of heuristic factors that exert on adjustment of thread pool size and show that the presented mechanism can be helpful for improving the performance of system.
{"title":"A Dynamic Adjustment Mechanism with Heuristic for Thread Pool in Middleware","authors":"Ning-jiang Chen, Pan Lin","doi":"10.1109/CSO.2010.85","DOIUrl":"https://doi.org/10.1109/CSO.2010.85","url":null,"abstract":"Thread pooling is an important technique of performance optimization in middleware. With the consideration of the features of Internet applications, the configuration of thread pool in middleware needs to be adjusted dynamically on the basis of perceiving the run-time context. However, how to find out effective influencing factors which make the adjustment to have better adaptability remains to be discussed further. The paper firstly presents a thread pool model in context of Web application server based on M/M/1/K/•/FCFS queuing system. A dynamic mechanism which imports certain of heuristic factors for reflecting the context at run-time is studied to adjust the size of thread pool so as to adapt to the changes of resources well. The prototypical experiments verify the effective influence of heuristic factors that exert on adjustment of thread pool size and show that the presented mechanism can be helpful for improving the performance of system.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124707333","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, a new numerical method is developed for solving one-dimensional second-order hyperbolic quations. By using a new unconditionally stable two level difference scheme based on the quartic spline interpolation method in space direction and generalized trapezoidal formula in time direction, the hyperbolic equations are solved. Stability analysis of the scheme is carried out. The accuracy of the scheme is second-order in time direction and fourth-order in space direction. It has been shown that by suitably choosing parameter, a high accuracy scheme of third-order accurate in time direction can be derived from the method. Numerical results comparison demonstrate the superiority of the new scheme.
{"title":"A New Two Level Difference Scheme for Solving One-Dimensional Second-Order Hyperbolic Equations","authors":"T. Liu, Li-bin Liu, He-Hua Xu, Li-Hua Le","doi":"10.1109/CSO.2010.33","DOIUrl":"https://doi.org/10.1109/CSO.2010.33","url":null,"abstract":"In this paper, a new numerical method is developed for solving one-dimensional second-order hyperbolic quations. By using a new unconditionally stable two level difference scheme based on the quartic spline interpolation method in space direction and generalized trapezoidal formula in time direction, the hyperbolic equations are solved. Stability analysis of the scheme is carried out. The accuracy of the scheme is second-order in time direction and fourth-order in space direction. It has been shown that by suitably choosing parameter, a high accuracy scheme of third-order accurate in time direction can be derived from the method. Numerical results comparison demonstrate the superiority of the new scheme.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"78 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128105124","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, we classify stock simulation environments as cognitive environment, social environment and stock environment. Stock market simulation systems are usually built based on cognitive and social environment, the simulation results are affected by the mental factors and their interaction results. Based on the past researches, this paper presents a Social Stock Competition Model (SSCM) which takes stock environment into consideration, so we can connect bounded rationality with social and stock environment. In SSCM, we simulate the organization information propaganda processes which generate stock related news. The generated news contains stock factors. Stockholder cooperate with the related stockholders in their social network, and make stock exchange decision based on these news and their relations with other stockholders. When stockholder make decision on one stock, they will compete with the other stockholders in stock market. The competition results will decide the price of the stocks.
{"title":"SSCM-Based Simulation of Stock Market: Put Bounded Rational into Social and Stock Environment","authors":"Nan Lin, Xiaochao Ding, Zheng Qin","doi":"10.1109/CSO.2010.39","DOIUrl":"https://doi.org/10.1109/CSO.2010.39","url":null,"abstract":"In this paper, we classify stock simulation environments as cognitive environment, social environment and stock environment. Stock market simulation systems are usually built based on cognitive and social environment, the simulation results are affected by the mental factors and their interaction results. Based on the past researches, this paper presents a Social Stock Competition Model (SSCM) which takes stock environment into consideration, so we can connect bounded rationality with social and stock environment. In SSCM, we simulate the organization information propaganda processes which generate stock related news. The generated news contains stock factors. Stockholder cooperate with the related stockholders in their social network, and make stock exchange decision based on these news and their relations with other stockholders. When stockholder make decision on one stock, they will compete with the other stockholders in stock market. The competition results will decide the price of the stocks.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"1996 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128201889","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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