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Software-Defined Crime Scene Analysis Process and Its Knowledge Automation Scheme |
LIU Shuo1,2, WANG Shuai1,3, FU Huanzhang2, WANG Feiyue3 |
1.University of Chinese Academy of Sciences, Beijing 100190. 2.Institute of Forensic Science, Ministry of Public Security, Beijing 100038. 3.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 |
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Abstract Crime scene analysis is a backtracking process based on the consequence from traces to psychology (physiology). It is the starting point and foundation of criminal investigation and the key part for solving criminal cases. Learning from the successful application and good performance of the relative theories and methods about complex systems in various domains, the crime scene analysis model based on complex systems is constructed in this paper. From the view of software-defined systems and processes, the basic idea, framework and main methods of the construction of parallel crime scene system model are introduced based on artificial societies, computational experiments, and parallel execution (ACP) method, and the important role played by knowledge automation in parallel systems for the control and management of crime scene analysis is discussed.
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Received: 25 March 2016
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Fund:Supported by Public Security Theory and Soft Science Research Program (No.2015LLYJGAES037) |
About author:: (LIU Shuo, born in 1970, Ph.D. candidate. His research interests include management science and engineering.) (WANG Shuai, born in 1988, Ph.D. candidate. His research interests include social computing and parallel management.) (FU Huanzhang, born in 1981, Ph.D.. His research interests include computer image processing and classification.) (WANG Feiyue(Corresponding author), born in 1961, Ph.D., professor. His research interests include modeling, analysis, and control of intelligent systems and complex systems.) |
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