Pub Date : 2011-05-10DOI: 10.1109/ICIST.2011.5765185
Quan Zhou, Zong-Xiao Yang, Wei-Feng Chen
To complete successfully system shortest path programming (SSPP) visualization research process, oriental systems methodology (OSM) had been introduced in the development process and had been achieved good results. It had been combined with system shortest path programming visualization device structure model, applied to “knowing Wuli, sensing Shili, caring for Renli” as the guiding ideology, and had been maken evaluation project practice by qualitative and quantitative approaches. It also had been analyzed systematically in the overall process of device research, guided the project research and development activities, and had been rendered manpower, materials and financial resources saved. The practice has proved that oriental system methodology is scientific and reasonable in guiding he research work of the path device. Also let more people understanding the work principle of OSM.
{"title":"Applications of oriental systems methodology to system shortest path programming visualization research process","authors":"Quan Zhou, Zong-Xiao Yang, Wei-Feng Chen","doi":"10.1109/ICIST.2011.5765185","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765185","url":null,"abstract":"To complete successfully system shortest path programming (SSPP) visualization research process, oriental systems methodology (OSM) had been introduced in the development process and had been achieved good results. It had been combined with system shortest path programming visualization device structure model, applied to “knowing Wuli, sensing Shili, caring for Renli” as the guiding ideology, and had been maken evaluation project practice by qualitative and quantitative approaches. It also had been analyzed systematically in the overall process of device research, guided the project research and development activities, and had been rendered manpower, materials and financial resources saved. The practice has proved that oriental system methodology is scientific and reasonable in guiding he research work of the path device. Also let more people understanding the work principle of OSM.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"50 1","pages":"1199-1204"},"PeriodicalIF":0.0,"publicationDate":"2011-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78462589","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765179
X. Fan, W. Yuan
In this paper, we present a statistical analysis of the problem of shape reconstruction from measurements of the brightness function by using the Cramér-Rao lower bound on the 3-D boundary. The Cramér-Rao lower bound analysis presented here provides statistical estimates that can be used for performance evaluation of algorithms.
{"title":"A statistical analysis of 3-D shape reconstruction","authors":"X. Fan, W. Yuan","doi":"10.1109/ICIST.2011.5765179","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765179","url":null,"abstract":"In this paper, we present a statistical analysis of the problem of shape reconstruction from measurements of the brightness function by using the Cramér-Rao lower bound on the 3-D boundary. The Cramér-Rao lower bound analysis presented here provides statistical estimates that can be used for performance evaluation of algorithms.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"40 1","pages":"1174-1175"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73431164","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765285
Lianghua Liu
P = (pij) ∈ Cn×n is regarded as a generalized reflection matrix if P satisfies that PH = P, P2 = I. Let P ∈ Cn×n be a given generalized reflection matrix, A matrix A ∈ Cn×nis regarded as an n × n reflexive matrix with respect to P if A satisfies A = PAP. We denote the set of all n × n reflexive matrices by Crn×n(P). In this paper, the least-square solutions of the inverse problem of reflexive matrices is discussed, and the expression of the solution is obtained. In addition, the problem of using reflexive matrices to construct the optimal approximation to a given matrix is discussed, the necessary and sufficient conditions about the problem are derived, and the expression of the solutions is provided.
{"title":"Least-square solutions of inverse problems for reflexive matrices","authors":"Lianghua Liu","doi":"10.1109/ICIST.2011.5765285","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765285","url":null,"abstract":"P = (p<inf>ij</inf>) ∈ C<sup>n×n</sup> is regarded as a generalized reflection matrix if P satisfies that P<sup>H</sup> = P, P<sup>2</sup> = I. Let P ∈ C<sup>n×n</sup> be a given generalized reflection matrix, A matrix A ∈ C<sup>n×n</sup>is regarded as an n × n reflexive matrix with respect to P if A satisfies A = PAP. We denote the set of all n × n reflexive matrices by C<inf>r</inf><sup>n×n</sup>(P). In this paper, the least-square solutions of the inverse problem of reflexive matrices is discussed, and the expression of the solution is obtained. In addition, the problem of using reflexive matrices to construct the optimal approximation to a given matrix is discussed, the necessary and sufficient conditions about the problem are derived, and the expression of the solutions is provided.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"9 1","pages":"438-440"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75500294","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765132
Chun-jie Li, Junyou Wu, Yancong Cheng
Because generators are limited rationality and their bidding strategies exist risk and uncertainty, this paper proposes a generators' bidding model which is constructed by value function and weight function based on cumulative prospect theory. Value function shows the changes of losses and gains, and weight function reflects players' psychological risk factors. The prospect value of bidding strategy is decided by value function and weight function, and the optimal bidding strategy is the biggest one among these prospect values. Finally, an example is employed, and the numerical results tell us that this method is feasible.
{"title":"Study on bidding strategies of Gencos based on cumulative prospect theory and Bayesian learning model","authors":"Chun-jie Li, Junyou Wu, Yancong Cheng","doi":"10.1109/ICIST.2011.5765132","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765132","url":null,"abstract":"Because generators are limited rationality and their bidding strategies exist risk and uncertainty, this paper proposes a generators' bidding model which is constructed by value function and weight function based on cumulative prospect theory. Value function shows the changes of losses and gains, and weight function reflects players' psychological risk factors. The prospect value of bidding strategy is decided by value function and weight function, and the optimal bidding strategy is the biggest one among these prospect values. Finally, an example is employed, and the numerical results tell us that this method is feasible.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"59 1","pages":"958-963"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77721183","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765144
Zheng Yan, Jun Wang
Model predictive control (MPC) is an advanced technique for process control. It is based on iterative, finite horizon optimization of a cost function associated with a plant model. Neural network is an effective approach for on-line optimization problems. In this paper, we apply the general projection neural network for MPC of nonlinear affine systems. Continuous stirred tank reactor (CSTR) system is a typical chemical reactor widely used in chemical industry and can be characterized as a nonlinear affine system. The general projection neural network based MPC is applied to the CSTR problem with input and output constraints. This application demonstrates the usefulness and effectiveness of proposed MPC approach to industrial problems.
{"title":"Model predictive control of nonlinear affine systems based on the general projection neural network and its application to a continuous stirred tank reactor","authors":"Zheng Yan, Jun Wang","doi":"10.1109/ICIST.2011.5765144","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765144","url":null,"abstract":"Model predictive control (MPC) is an advanced technique for process control. It is based on iterative, finite horizon optimization of a cost function associated with a plant model. Neural network is an effective approach for on-line optimization problems. In this paper, we apply the general projection neural network for MPC of nonlinear affine systems. Continuous stirred tank reactor (CSTR) system is a typical chemical reactor widely used in chemical industry and can be characterized as a nonlinear affine system. The general projection neural network based MPC is applied to the CSTR problem with input and output constraints. This application demonstrates the usefulness and effectiveness of proposed MPC approach to industrial problems.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"78 1","pages":"1011-1015"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77852908","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765307
Jianjun Tan
This paper describes the CC2430 ZigBee chip used In the design of photovoltaic power generation system, specifically is to TI's CC2430 ZigBee chip implanted into the photovoltaic power generation system, take advantage of CC2430 features in the single-chip computer to achieve the photovoltaic solar panel system, voltage, current, temperature, light intensity and the voltage inverter, current, and battery charge and discharge current, voltage detection and measurement, while light volt power system control. CC2430 wireless communication capabilities take full advantage of PV systems to achieve automatic network and remote monitoring, wireless sensor network technology for photovoltaic power generation system, which is very meaningful research, especially the use of photovoltaic power generation system independent power supply and power system with cluster properties, such as: solar landscape lights, solar lights, solar outdoor weather station, solar environment monitoring station and so on. This fully demonstrated the wireless sensor network technology, the unique value and application prospect.
{"title":"CC2430 ZigBee chip based on photovoltaicpower generation system design research","authors":"Jianjun Tan","doi":"10.1109/ICIST.2011.5765307","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765307","url":null,"abstract":"This paper describes the CC2430 ZigBee chip used In the design of photovoltaic power generation system, specifically is to TI's CC2430 ZigBee chip implanted into the photovoltaic power generation system, take advantage of CC2430 features in the single-chip computer to achieve the photovoltaic solar panel system, voltage, current, temperature, light intensity and the voltage inverter, current, and battery charge and discharge current, voltage detection and measurement, while light volt power system control. CC2430 wireless communication capabilities take full advantage of PV systems to achieve automatic network and remote monitoring, wireless sensor network technology for photovoltaic power generation system, which is very meaningful research, especially the use of photovoltaic power generation system independent power supply and power system with cluster properties, such as: solar landscape lights, solar lights, solar outdoor weather station, solar environment monitoring station and so on. This fully demonstrated the wireless sensor network technology, the unique value and application prospect.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"59 1","pages":"536-538"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79937009","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765228
Bo Yuan, Bin Li
Emerging nanoelectronic technologies are expected to extend the conventional integrated circuits beyond CMOS. However, the bottom-up self-assembly fabrication process of nanoelectronic devices results in higher defect density. Thus, crafted defect-tolerance techniques are urgently needed. In this paper, we present a low time complexity algorithm for application-independent defect-tolerance of nanoelectronic crossbars. The algorithm improves the performance through mixing the key ideas from two state-of-the-art algorithms. The algorithm offers similar (above 90%) defect-free subcrossbar sizes compared to the current best algorithm as the results show over a set of samples with various crossbar sizes and defect densities, but the time complexity is reduced from O(n3) down to O(n2). Thus, our algorithm is more suitable for defect-tolerance of reconfigurable nanoelectronic crossbar due to the per-chip basis.
{"title":"A low time complexity defect-tolerance algorithm for nanoelectronic crossbar","authors":"Bo Yuan, Bin Li","doi":"10.1109/ICIST.2011.5765228","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765228","url":null,"abstract":"Emerging nanoelectronic technologies are expected to extend the conventional integrated circuits beyond CMOS. However, the bottom-up self-assembly fabrication process of nanoelectronic devices results in higher defect density. Thus, crafted defect-tolerance techniques are urgently needed. In this paper, we present a low time complexity algorithm for application-independent defect-tolerance of nanoelectronic crossbars. The algorithm improves the performance through mixing the key ideas from two state-of-the-art algorithms. The algorithm offers similar (above 90%) defect-free subcrossbar sizes compared to the current best algorithm as the results show over a set of samples with various crossbar sizes and defect densities, but the time complexity is reduced from O(n3) down to O(n2). Thus, our algorithm is more suitable for defect-tolerance of reconfigurable nanoelectronic crossbar due to the per-chip basis.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"29 1","pages":"143-148"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81220282","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 sunspot is one of the main cause of climate change. Research on the sunspot cycle is conducive to study climate change. Based on new approach, using time series analysis technique, empirical mode decomposition (EMD) and wavelet, to reveal the detail features of the variability of sunspot data on various time scales. In comparison with wavelet transform, EMD can analyze non-stationary and non-linear time series data and reveal the main characteristics of time series on time-frequency domains precisely.
{"title":"Application of EMD and wavelet method to sunspot data","authors":"Yong Wang, Yuanyuan Ding, Qingzhou Luo, Qilong Miao","doi":"10.1109/ICIST.2011.5765337","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765337","url":null,"abstract":"The sunspot is one of the main cause of climate change. Research on the sunspot cycle is conducive to study climate change. Based on new approach, using time series analysis technique, empirical mode decomposition (EMD) and wavelet, to reveal the detail features of the variability of sunspot data on various time scales. In comparison with wavelet transform, EMD can analyze non-stationary and non-linear time series data and reveal the main characteristics of time series on time-frequency domains precisely.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"331 1","pages":"676-678"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73137214","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765248
Shuyan Wang, Huanzhen Chen
We present a new proof for optimal-convergence of an immersed interface finite element method based on linear polynomials on non-interface triangular elements and modified linear polynomials on interface triangular elements. Optimal-order error estimates are derived in the broken H1-norm and L2-norm by using the well-known bilinear lemma. The proof seems to be more concise and direct.
{"title":"The optimal convergence analysis for an immersed finite element method","authors":"Shuyan Wang, Huanzhen Chen","doi":"10.1109/ICIST.2011.5765248","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765248","url":null,"abstract":"We present a new proof for optimal-convergence of an immersed interface finite element method based on linear polynomials on non-interface triangular elements and modified linear polynomials on interface triangular elements. Optimal-order error estimates are derived in the broken H1-norm and L2-norm by using the well-known bilinear lemma. The proof seems to be more concise and direct.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"1 1","pages":"255-258"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82269486","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 : 2011-03-26DOI: 10.1109/ICIST.2011.5765157
Zhuohan Li, Cheng Shao, C. Zhong, Yi An
Spark detection is an important problem in electrostatic precipitation. This paper proposes a new method for detecting the spark based on the load voltage variety. In order to obtain this variety, the control model of the power supply is established, and then the mathematical expression of the load voltage can be formulated. By analyzing the features of the spark breakdown, it is observed that the load voltage variety during the spark breakdown is much larger than that of normal condition. Therefore, the maximum variety of the load voltage under normal condition can be considered as the detection threshold. In addition, the control method which tracks the dielectric strength recovery curve is also presented. The simulations and experiments demonstrate that the proposed method is effective.
{"title":"A new method for detecting spark in electrostatic precipitation","authors":"Zhuohan Li, Cheng Shao, C. Zhong, Yi An","doi":"10.1109/ICIST.2011.5765157","DOIUrl":"https://doi.org/10.1109/ICIST.2011.5765157","url":null,"abstract":"Spark detection is an important problem in electrostatic precipitation. This paper proposes a new method for detecting the spark based on the load voltage variety. In order to obtain this variety, the control model of the power supply is established, and then the mathematical expression of the load voltage can be formulated. By analyzing the features of the spark breakdown, it is observed that the load voltage variety during the spark breakdown is much larger than that of normal condition. Therefore, the maximum variety of the load voltage under normal condition can be considered as the detection threshold. In addition, the control method which tracks the dielectric strength recovery curve is also presented. The simulations and experiments demonstrate that the proposed method is effective.","PeriodicalId":6408,"journal":{"name":"2009 International Conference on Environmental Science and Information Application Technology","volume":"6 1","pages":"1074-1080"},"PeriodicalIF":0.0,"publicationDate":"2011-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82511139","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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