The Experts below are selected from a list of 492663 Experts worldwide ranked by ideXlab platform
Xiaoming Li - One of the best experts on this subject based on the ideXlab platform.
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architectural design and Evaluation of an efficient web crawling system
Journal of Systems and Software, 2002Co-Authors: Jianyong Wang, Xiaoming LiAbstract:This paper presents an architectural design and Evaluation Result of an efficient Web-crawling system. The design involves a fully distributed architecture, a URL allocating algorithm, and a method to assure system scalability and dynamic reconfigurability. Simulation experiment shows that load balance, scalability and efficiency can be achieved in the system. Currently this distributed Web-crawling subsystem has been successfully integrated with WebGather, a well-known Chinese and English Web search engine, aimed at collecting all the Web pages in China and keeping pace with the rapid growth of Chinese Web information. In addition, we believe that the design can also be useful in other context such as digital library, etc.
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architectural design and Evaluation of an efficient web crawling system
International Parallel and Distributed Processing Symposium, 2001Co-Authors: Jianyong Wang, Xiaoming LiAbstract:This paper presents an architectural design and Evaluation Result of an efficient Web-crawling system. The design involves a fully distributed architecture, a URL allocating algorithm, and a method to assure system scalability and dynamic reconfigurability. Simulation experiment shows that load balance, scalability and efficiency can be achieved in the system. Currently this distributed Web-crawling subsystem has been successfully integrated with WebGather, a well-known Chinese and English Web search engine, aimed at collecting all the Web pages in China and keeping pace with the rapid growth of Chinese Web information. In addition, we believe that the design can also be useful in other context such as digital library, etc. 2002 Elsevier Science Inc. All rights reserved.
Chengbin Chu - One of the best experts on this subject based on the ideXlab platform.
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withdrawn a multi objective model for pareto optimality in data envelopment analysis cross efficiency Evaluation
European Journal of Operational Research, 2019Co-Authors: Junfei Chu, Chengbin ChuAbstract:Abstract This manuscript proposes a new approach for addressing the non-Pareto optimality problem in data envelopment analysis (DEA) cross-efficiency Evaluation. First, we propose a multi-objective model with a new non-self-denial weight-selection principle to obtain Pareto-optimal cross-efficiency scores. Second, the sum-weighted approach is adopted to solve the multi-objective model. Third, despite the nonlinearity and high complexity of the sum-weighted model, we find that a set of Pareto-optimal cross-efficiency scores can always be obtained by using a common-weight Evaluation Result, and a set of common weights can be obtained by a simple linear program. Further, we investigate a previous benchmark study and show that with a special assignment of the given cross-efficiency scores in their procedure, the benchmark approach can also obtain Pareto-optimal cross-efficiency scores as a common-weight Evaluation Result. Compared with the weight-selection principles provided in the previous benckmark study, our non-self-denial principle is more reasonable and more acceptable among the DMUs since it enforces no additional nonendogenous constraints when each DMU selects its optimal weights. Additionally, we have proved that a set of Pareto-optimal cross-efficiency scores always consociate the mechanisms of peer-Evaluation, self-Evaluation, and common-weight Evaluation in DEA since it can always be calculated by using a set of common weights. More importantly, compared with the previous benckmark study, which must solve numerous linear programs for each DMU to obtain a set of Pareto-optimal cross-efficiency scores, our calculation process requires solving only one linear program. Finally, the proposed method is applied to perform green supplier selection.
Jianyong Wang - One of the best experts on this subject based on the ideXlab platform.
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architectural design and Evaluation of an efficient web crawling system
Journal of Systems and Software, 2002Co-Authors: Jianyong Wang, Xiaoming LiAbstract:This paper presents an architectural design and Evaluation Result of an efficient Web-crawling system. The design involves a fully distributed architecture, a URL allocating algorithm, and a method to assure system scalability and dynamic reconfigurability. Simulation experiment shows that load balance, scalability and efficiency can be achieved in the system. Currently this distributed Web-crawling subsystem has been successfully integrated with WebGather, a well-known Chinese and English Web search engine, aimed at collecting all the Web pages in China and keeping pace with the rapid growth of Chinese Web information. In addition, we believe that the design can also be useful in other context such as digital library, etc.
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architectural design and Evaluation of an efficient web crawling system
International Parallel and Distributed Processing Symposium, 2001Co-Authors: Jianyong Wang, Xiaoming LiAbstract:This paper presents an architectural design and Evaluation Result of an efficient Web-crawling system. The design involves a fully distributed architecture, a URL allocating algorithm, and a method to assure system scalability and dynamic reconfigurability. Simulation experiment shows that load balance, scalability and efficiency can be achieved in the system. Currently this distributed Web-crawling subsystem has been successfully integrated with WebGather, a well-known Chinese and English Web search engine, aimed at collecting all the Web pages in China and keeping pace with the rapid growth of Chinese Web information. In addition, we believe that the design can also be useful in other context such as digital library, etc. 2002 Elsevier Science Inc. All rights reserved.
Junfei Chu - One of the best experts on this subject based on the ideXlab platform.
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withdrawn a multi objective model for pareto optimality in data envelopment analysis cross efficiency Evaluation
European Journal of Operational Research, 2019Co-Authors: Junfei Chu, Chengbin ChuAbstract:Abstract This manuscript proposes a new approach for addressing the non-Pareto optimality problem in data envelopment analysis (DEA) cross-efficiency Evaluation. First, we propose a multi-objective model with a new non-self-denial weight-selection principle to obtain Pareto-optimal cross-efficiency scores. Second, the sum-weighted approach is adopted to solve the multi-objective model. Third, despite the nonlinearity and high complexity of the sum-weighted model, we find that a set of Pareto-optimal cross-efficiency scores can always be obtained by using a common-weight Evaluation Result, and a set of common weights can be obtained by a simple linear program. Further, we investigate a previous benchmark study and show that with a special assignment of the given cross-efficiency scores in their procedure, the benchmark approach can also obtain Pareto-optimal cross-efficiency scores as a common-weight Evaluation Result. Compared with the weight-selection principles provided in the previous benckmark study, our non-self-denial principle is more reasonable and more acceptable among the DMUs since it enforces no additional nonendogenous constraints when each DMU selects its optimal weights. Additionally, we have proved that a set of Pareto-optimal cross-efficiency scores always consociate the mechanisms of peer-Evaluation, self-Evaluation, and common-weight Evaluation in DEA since it can always be calculated by using a set of common weights. More importantly, compared with the previous benckmark study, which must solve numerous linear programs for each DMU to obtain a set of Pareto-optimal cross-efficiency scores, our calculation process requires solving only one linear program. Finally, the proposed method is applied to perform green supplier selection.
Msatomo Tanaka - One of the best experts on this subject based on the ideXlab platform.
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charge control device for secondary battery charge control method for secondary battery charge state estimation device for secondary battery charge state estimation method for secondary battery degradation degree estimation device for secondary batte
2013Co-Authors: Kenji Matsubara, Shinichi Uesaka, Msatomo TanakaAbstract:A charge control device for a secondary battery controls a charge of the secondary battery including positive and negative electrodes. The device includes: a degradation degree detection and Evaluation unit that detects and evaluates a degree of degradation of the secondary battery; and a charge control unit. The charge control unit controls a voltage application state to the electrode at a time of charge of the secondary battery based on an Evaluation Result of the degree of degradation of the second battery in the degradation degree detection and Evaluation unit.
