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Body Classification Based on Adaptive Made-to-Measure( MTM ) Framework 被引量:1
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作者 刘冠彬 肖平 《Journal of Donghua University(English Edition)》 EI CAS 2014年第4期554-556,共3页
The purpose of this paper was to develop a reliable body shape analysis approach based on cluster analysis, k. nearestneighbor( KNN), and multi-class support vector machine( MSVM). Firstly,a total of 357 Chinese men w... The purpose of this paper was to develop a reliable body shape analysis approach based on cluster analysis, k. nearestneighbor( KNN), and multi-class support vector machine( MSVM). Firstly,a total of 357 Chinese men were selected to make a dataset. Secondly, the experiences of these data were not accumulated to build general models. Five body angles were extracted as independent variables. Four clusters were the most efficient cluster number for our study. Finally,the accuracy of body classifications is compared between KNN and MSVM. In this study,the body classification framework was studied to transfer the body feature data to intuitive types. Moreover,the adaptive made-tomeasure( MTM) framework based on body classification was studied. The case demonstration and analysis show the effectiveness of the study. 展开更多
关键词 body shape analysis adaptive MTM framework body classifications
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Distributed adaptive direct position determination based on diffusion framework 被引量:2
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作者 Wei Xia Wei Liu Lingfeng Zhu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第1期28-38,共11页
The conventional direct position determination(DPD) algorithm processes all received signals on a single sensor.When sensors have limited computational capabilities or energy storage,it is desirable to distribute th... The conventional direct position determination(DPD) algorithm processes all received signals on a single sensor.When sensors have limited computational capabilities or energy storage,it is desirable to distribute the computation among other sensors.A distributed adaptive DPD(DADPD)algorithm based on diffusion framework is proposed for emitter localization.Unlike the corresponding centralized adaptive DPD(CADPD) algorithm,all but one sensor in the proposed algorithm participate in processing the received signals and estimating the common emitter position,respectively.The computational load and energy consumption on a single sensor in the CADPD algorithm is distributed among other computing sensors in a balanced manner.Exactly the same iterative localization algorithm is carried out in each computing sensor,respectively,and the algorithm in each computing sensor exhibits quite similar convergence behavior.The difference of the localization and tracking performance between the proposed distributed algorithm and the corresponding CADPD algorithm is negligible through simulation evaluations. 展开更多
关键词 emitter localization time difference of arrival(TDOA) direct position determination(DPD) distributed adaptive DPD(DADPD) diffusion framework.
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The Theory of Adaptation of the Nervous System
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作者 Cai YifaSchool of Information Systems, Kingston University, Surrey KT12EE, U.K. 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1992年第2期1-12,共12页
The explanation and simulation of the natural and artificial intelligence are the central goals of the studies of Neuroscience, Psychology, Artificial Intelligence and Cognitive Science. This paper first gives an intr... The explanation and simulation of the natural and artificial intelligence are the central goals of the studies of Neuroscience, Psychology, Artificial Intelligence and Cognitive Science. This paper first gives an introduction to the core topics and approaches in the study. Then, GAF--a general adaptive framework for neural system is proposed. Interdisciplinary discussions around the adaptation of the human nervous system are presented. Rules describing the theory of adaptation of the nervous system are provided. 展开更多
关键词 Nervous system Artificial intelligence General adaptive framework.
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