Pub Date : 2010-11-22DOI: 10.1109/CINC.2010.5643853
H. Hai
Based on the introduction of particle swarm optimization algorithm, this paper applies it to the land use structure optimization. The objective functions, variables and restraint functions are constructed for land use structure optimization. The corresponding software is also developed. And land use structure optimization for HeChuan District of ChongQing City is taken as the example for the case study. The satisfactory optimization result proves that application of the particle swarm optimization algorithm for land use structure is feasible and effective, which supplies a new idea and method.
{"title":"Multi-objective particle swarm optimization for land use structure","authors":"H. Hai","doi":"10.1109/CINC.2010.5643853","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643853","url":null,"abstract":"Based on the introduction of particle swarm optimization algorithm, this paper applies it to the land use structure optimization. The objective functions, variables and restraint functions are constructed for land use structure optimization. The corresponding software is also developed. And land use structure optimization for HeChuan District of ChongQing City is taken as the example for the case study. The satisfactory optimization result proves that application of the particle swarm optimization algorithm for land use structure is feasible and effective, which supplies a new idea and method.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130331894","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643834
Zenghui Wang, Yanxia Sun
This paper presents an intelligent generalized predictive controller (GPC) based on particle swarm optimization (PSO) for linear or nonlinear process with constraints. We propose several constraints for the plants from the engineering point of view and the cost function is also simplified. No complicated mathematics is used which originated from the characteristics of PSO. This method is easy to be used to control the plants with linear or/and nonlinear constraints. Numerical simulations are used to show the performance of this control technique for linear and nonlinear processes, respectively. In the first simulation, the control signal is computed based on an adaptive linear model. In the second simulation, the proposed method is based on a fixed neural network model for a nonlinear plant. Both of them show that the proposed control scheme can guarantee a good control performance.
{"title":"Generalized predictive control based on particle swarm optimization for linear/nonlinear process with constraints","authors":"Zenghui Wang, Yanxia Sun","doi":"10.1109/CINC.2010.5643834","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643834","url":null,"abstract":"This paper presents an intelligent generalized predictive controller (GPC) based on particle swarm optimization (PSO) for linear or nonlinear process with constraints. We propose several constraints for the plants from the engineering point of view and the cost function is also simplified. No complicated mathematics is used which originated from the characteristics of PSO. This method is easy to be used to control the plants with linear or/and nonlinear constraints. Numerical simulations are used to show the performance of this control technique for linear and nonlinear processes, respectively. In the first simulation, the control signal is computed based on an adaptive linear model. In the second simulation, the proposed method is based on a fixed neural network model for a nonlinear plant. Both of them show that the proposed control scheme can guarantee a good control performance.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130790012","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 : 2010-11-22DOI: 10.1007/978-3-642-28744-2_46
Sun Lin, Huang Hui, W. Wenbo, Liu Hao
{"title":"Computer-mediated communication in education","authors":"Sun Lin, Huang Hui, W. Wenbo, Liu Hao","doi":"10.1007/978-3-642-28744-2_46","DOIUrl":"https://doi.org/10.1007/978-3-642-28744-2_46","url":null,"abstract":"","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"59 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130792746","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643756
Chengyu Wen, Zhixin Liu
This article selects the patent number as an innovation performance alternative variable to test the impact of technology mergers on the innovative performance in high-tech industries listed companies empirically by using the panel data negative binomial regression model. It shows that non-technical merger acquisition has no significant influence on the innovation achievements for a company; the absolute size of the acquired knowledge base makes a positive impact on the innovative performance of the acquiring firm; while the relative size of the acquired knowledge base has a negative effect on the innovative performance of the acquiring firm. These results provide the empirical basis of technology mergers & acquisitions for the listed company.
{"title":"The impact of technological M&As on innovative performance of listed companies","authors":"Chengyu Wen, Zhixin Liu","doi":"10.1109/CINC.2010.5643756","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643756","url":null,"abstract":"This article selects the patent number as an innovation performance alternative variable to test the impact of technology mergers on the innovative performance in high-tech industries listed companies empirically by using the panel data negative binomial regression model. It shows that non-technical merger acquisition has no significant influence on the innovation achievements for a company; the absolute size of the acquired knowledge base makes a positive impact on the innovative performance of the acquiring firm; while the relative size of the acquired knowledge base has a negative effect on the innovative performance of the acquiring firm. These results provide the empirical basis of technology mergers & acquisitions for the listed company.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128370969","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643813
Zhuang Miao, L. Jie, Jinpeng Wang, Zhou Bo
Semantic Web has promoted researches on semantic integration of heterogeneous relational databases. Ontology-based heterogeneous relational data integration is recently attracting many diverse attentions, since most of the information is still stored in relational databases. This paper focuses on the query efficiency problem of ontology-based heterogeneous relational databases querying. To improve the query efficiency, we presented an approach for semanticbased querying of relational data. Global schema is described in RDF(S) and can be abstracted as graph. SPARQL queries over global schema are executed by graph mapping. Rounder graph of global schema is generated offline by calculating the RDFS closure of the schema. Our approach has decreased time cost of online querying and improved the efficiency.
{"title":"Online querying relational data based on closure","authors":"Zhuang Miao, L. Jie, Jinpeng Wang, Zhou Bo","doi":"10.1109/CINC.2010.5643813","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643813","url":null,"abstract":"Semantic Web has promoted researches on semantic integration of heterogeneous relational databases. Ontology-based heterogeneous relational data integration is recently attracting many diverse attentions, since most of the information is still stored in relational databases. This paper focuses on the query efficiency problem of ontology-based heterogeneous relational databases querying. To improve the query efficiency, we presented an approach for semanticbased querying of relational data. Global schema is described in RDF(S) and can be abstracted as graph. SPARQL queries over global schema are executed by graph mapping. Rounder graph of global schema is generated offline by calculating the RDFS closure of the schema. Our approach has decreased time cost of online querying and improved the efficiency.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126466419","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643832
Jian Jiao, Xianjia Wang, Liubo Zhang
Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. PSO has gained widespread appeal amongst researchers and has been shown to offer good performance in a variety of application domains, with potential for hybridisation and specialisation. This paper presents a overview of the basic concepts of PSO according to continuous PSO and discrete PSO. The difference between single objective PSO and multiobjective PSO is presented. At the same time an implementation of PSO in multiobjective optimization is discussed. To overcome the limitations of PSO, hybrid optimization algorithms are proposed by many scholars. Several hybrid PSO approaches are presented in this paper.
{"title":"Applying particle swarm optimization in multiobjective optimization and hybrid optimization","authors":"Jian Jiao, Xianjia Wang, Liubo Zhang","doi":"10.1109/CINC.2010.5643832","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643832","url":null,"abstract":"Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. PSO has gained widespread appeal amongst researchers and has been shown to offer good performance in a variety of application domains, with potential for hybridisation and specialisation. This paper presents a overview of the basic concepts of PSO according to continuous PSO and discrete PSO. The difference between single objective PSO and multiobjective PSO is presented. At the same time an implementation of PSO in multiobjective optimization is discussed. To overcome the limitations of PSO, hybrid optimization algorithms are proposed by many scholars. Several hybrid PSO approaches are presented in this paper.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430125","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643771
Zhijin Li, Dean Zhao, W. Xia
This paper is concerned with L2-L∞ filtering for a class of neutral systems with interval time-varying delays. The objective is to design a full order filter such that the resulting filtering error system is asymptotically stable with a prescribed L2-L∞ performance satisfied. Based on Lyapunov stability theory, a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities (LMIs). The corresponding filter design method is also proposed, while the explicit expression for the desired filter is given. A numerical example is finally included to illustrate the effectiveness of the proposed method.
{"title":"L2-L∞ filter design for a class of neutral systems with interval time-varying delay","authors":"Zhijin Li, Dean Zhao, W. Xia","doi":"10.1109/CINC.2010.5643771","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643771","url":null,"abstract":"This paper is concerned with L2-L∞ filtering for a class of neutral systems with interval time-varying delays. The objective is to design a full order filter such that the resulting filtering error system is asymptotically stable with a prescribed L2-L∞ performance satisfied. Based on Lyapunov stability theory, a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities (LMIs). The corresponding filter design method is also proposed, while the explicit expression for the desired filter is given. A numerical example is finally included to illustrate the effectiveness of the proposed method.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121986760","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643716
Fan Qin-man, Wu Yong-hai, Luan Kun
The fatigue analysis model of vehicle frame based on random vibration theory is established according to studying a new special vehicle frame. According to the stress category of predicted points and material property, the modified fatigue curve(S-N curve) is obtained. Taking the FEA analysis results of the vehicle frame as the basis of fatigue calculation, the fatigue life and the fatigue damage of the vehicle frame are calculated using vehicle vibration theory with road spectrum, meanwhile the calculation results are also discussed. The model and the analysis method adopted in this paper also have significance to fatigue analysis and anti-fatigue design of other vehicle products.
{"title":"Fatigue life analysis of a special vehicle frame based on random vibration","authors":"Fan Qin-man, Wu Yong-hai, Luan Kun","doi":"10.1109/CINC.2010.5643716","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643716","url":null,"abstract":"The fatigue analysis model of vehicle frame based on random vibration theory is established according to studying a new special vehicle frame. According to the stress category of predicted points and material property, the modified fatigue curve(S-N curve) is obtained. Taking the FEA analysis results of the vehicle frame as the basis of fatigue calculation, the fatigue life and the fatigue damage of the vehicle frame are calculated using vehicle vibration theory with road spectrum, meanwhile the calculation results are also discussed. The model and the analysis method adopted in this paper also have significance to fatigue analysis and anti-fatigue design of other vehicle products.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122604411","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643815
Zhang Guihua, Ma Xianmin, C. Jing
For the problems of the complex model and the slow speed in the process of the traditional back analysis of displacements, the program of BP neural network is compiled by the M language of MATLAB and is used for the back analysis of displacements. Aimed at the disadvantage of slow convergence of the traditional BP neural network, the method of adding coordinator to neural network and the normalization method are used to quicken the network training rate. The practically measured displacements are input to the trained BP network to obtain the correspondent mechanics parameters, which are then used as the calculation parameters of the finite element calculation, and the calculated displacement values are got. The difference between the calculated displacement values by the finite element analysis and the practically measured values is very slight and the maximum error doesn't exceed 5%. It shows that the method of artificial neural network is fast in model building and calculation, brief in model structure , and high in precision etc. It can be used for back analysis of displacements in engineering.
{"title":"Improved BP neural network-based back analysis of displacements","authors":"Zhang Guihua, Ma Xianmin, C. Jing","doi":"10.1109/CINC.2010.5643815","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643815","url":null,"abstract":"For the problems of the complex model and the slow speed in the process of the traditional back analysis of displacements, the program of BP neural network is compiled by the M language of MATLAB and is used for the back analysis of displacements. Aimed at the disadvantage of slow convergence of the traditional BP neural network, the method of adding coordinator to neural network and the normalization method are used to quicken the network training rate. The practically measured displacements are input to the trained BP network to obtain the correspondent mechanics parameters, which are then used as the calculation parameters of the finite element calculation, and the calculated displacement values are got. The difference between the calculated displacement values by the finite element analysis and the practically measured values is very slight and the maximum error doesn't exceed 5%. It shows that the method of artificial neural network is fast in model building and calculation, brief in model structure , and high in precision etc. It can be used for back analysis of displacements in engineering.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122821058","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 : 2010-11-22DOI: 10.1109/CINC.2010.5643809
Hai-ying Shang, Yu Han, Ji-hua Lu
Statistical characteristics of Rician and Nakagami-m fading channel are considered which develops the statistical analysis to characterize the frequency-selective fading properties. We use a new analytical multipath shape factors proposed by Durgin which greatly simplifies the description of Rician and Nakagami-m fading channel. The three shape factors are angular spread, angular constriction and azimuthal direction of maximum fading. The first-order and second-order statistics of received signal fluctuations in Rician and Nakagami-m multipath fading channel are analyzed. Analytical expressions for spatial unit autocovariance and coherence distance are both used in the shape factor theory.
{"title":"Statistical analysis of Rician and Nakagami-m fading channel using multipath Shape factors","authors":"Hai-ying Shang, Yu Han, Ji-hua Lu","doi":"10.1109/CINC.2010.5643809","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643809","url":null,"abstract":"Statistical characteristics of Rician and Nakagami-m fading channel are considered which develops the statistical analysis to characterize the frequency-selective fading properties. We use a new analytical multipath shape factors proposed by Durgin which greatly simplifies the description of Rician and Nakagami-m fading channel. The three shape factors are angular spread, angular constriction and azimuthal direction of maximum fading. The first-order and second-order statistics of received signal fluctuations in Rician and Nakagami-m multipath fading channel are analyzed. Analytical expressions for spatial unit autocovariance and coherence distance are both used in the shape factor theory.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121078024","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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