For the mechanical properties of reinforced concrete under high temperature with large deterioration, the reliability of reinforced concrete beams have been largely discounted. The plastic zone resistance of concrete under high temperature has been considered in this paper. A simple and feasible time-variant model of the resistance of reinforced concrete beams has been given under fire and a reliability index analysis method of reinforced concrete beams under fire. The action of ISO834 temperature rising curve on the reliability index of different specifications of concrete beams at different time has been analyzed. The action of main parameters on the reliability index changes with time has been shown. The results have shown that the increase the reinforcement ratio and concrete cover thickness appropriately is an effective measure to improve the fire resistance limit of reinforced concrete beams.
{"title":"The Reliability Analysis of Reinforced Concrete Beams under High Temperature","authors":"Zhenqing Wang, M. Qiao, Dalei Zhu, Y. Han","doi":"10.1109/CSO.2010.24","DOIUrl":"https://doi.org/10.1109/CSO.2010.24","url":null,"abstract":"For the mechanical properties of reinforced concrete under high temperature with large deterioration, the reliability of reinforced concrete beams have been largely discounted. The plastic zone resistance of concrete under high temperature has been considered in this paper. A simple and feasible time-variant model of the resistance of reinforced concrete beams has been given under fire and a reliability index analysis method of reinforced concrete beams under fire. The action of ISO834 temperature rising curve on the reliability index of different specifications of concrete beams at different time has been analyzed. The action of main parameters on the reliability index changes with time has been shown. The results have shown that the increase the reinforcement ratio and concrete cover thickness appropriately is an effective measure to improve the fire resistance limit of reinforced concrete beams.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"102 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":"121503659","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 examines the relevance of various financial and economic indicators in forecasting business cycle turning points via neural networks (NN) models. We employ a feed forward neural network model to forecast turning points in the business cycle of China. The NN has as inputs thirteen indicators of economic activity and as output the probability of a recession. The different indicators are ranked in terms of their effectiveness of predicting China recessions. The out-of-sample results show that via the NN model indicators, such as steel output, M2, Pig iron yield and freight volume of whole society are useful in forecasting China recessions. Meanwhile, based on this method, asymmetry of business cycle can be verified.
{"title":"Asymmetric Verification of Business Cycle by Forecasting Turning Points Based on Neural Networks","authors":"Dabin Zhang, Haibin Xie","doi":"10.1109/CSO.2010.219","DOIUrl":"https://doi.org/10.1109/CSO.2010.219","url":null,"abstract":"This paper examines the relevance of various financial and economic indicators in forecasting business cycle turning points via neural networks (NN) models. We employ a feed forward neural network model to forecast turning points in the business cycle of China. The NN has as inputs thirteen indicators of economic activity and as output the probability of a recession. The different indicators are ranked in terms of their effectiveness of predicting China recessions. The out-of-sample results show that via the NN model indicators, such as steel output, M2, Pig iron yield and freight volume of whole society are useful in forecasting China recessions. Meanwhile, based on this method, asymmetry of business cycle can be verified.","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":"121860571","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}
Many optimal fuzzy random decision making problems often involve fuzzy random inequalities in the constraints, which makes the process of optimization’s solution more complicatedly. How to transform fuzzy random inequalities to the simple equivalents, will be of great significance for simplifying the solution process. Based on the credibility measure, we discuss the problem that fuzzy random inequalities are converted into deterministic ones under the certain level of satisfaction measure. In the meantime, we give the chance measure’s expressive formula of deterministic equivalents when the random variable is normally distributes.
{"title":"The Simple Deterministic Equivalents of Fuzzy Random Inequality Based on Chance Measure","authors":"Hui Wang, Hong-tao Zhang, Zhixiang Yin","doi":"10.1109/CSO.2010.224","DOIUrl":"https://doi.org/10.1109/CSO.2010.224","url":null,"abstract":"Many optimal fuzzy random decision making problems often involve fuzzy random inequalities in the constraints, which makes the process of optimization’s solution more complicatedly. How to transform fuzzy random inequalities to the simple equivalents, will be of great significance for simplifying the solution process. Based on the credibility measure, we discuss the problem that fuzzy random inequalities are converted into deterministic ones under the certain level of satisfaction measure. In the meantime, we give the chance measure’s expressive formula of deterministic equivalents when the random variable is normally distributes.","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":"131349583","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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