Yu Gu, Wentao Li, Liwen Zhang, Mingke Shen, B. Xie
Detecting conspirators, which often relates to organized crimes, represents a major problem for many investigation bureaus. A prioritization algorithm based on centrality analysis was introduced. The correlation between suspects was modeled as a social network, and the degree, betweeness and eigenvector centralities were utilized to quantify the suspicion degree of individual conspirators. Due to the analysis, conspirators and non-conspirators were able to be sorted into high-suspected, low-suspected, low-unsuspected and high-unsuspected sections based on their likelihood of involving the conspiracy. A detailed scenario is studied and the efficacy of the given method is verified at the end of this paper.
{"title":"A Prioritization Algorithm for Crime Busting based on Centrality Analysis","authors":"Yu Gu, Wentao Li, Liwen Zhang, Mingke Shen, B. Xie","doi":"10.2991/EMEIT.2012.30","DOIUrl":"https://doi.org/10.2991/EMEIT.2012.30","url":null,"abstract":"Detecting conspirators, which often relates to organized crimes, represents a major problem for many investigation bureaus. A prioritization algorithm based on centrality analysis was introduced. The correlation between suspects was modeled as a social network, and the degree, betweeness and eigenvector centralities were utilized to quantify the suspicion degree of individual conspirators. Due to the analysis, conspirators and non-conspirators were able to be sorted into high-suspected, low-suspected, low-unsuspected and high-unsuspected sections based on their likelihood of involving the conspiracy. A detailed scenario is studied and the efficacy of the given method is verified at the end of this paper.","PeriodicalId":211694,"journal":{"name":"Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology (2012)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122064540","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}
On the basis of process flow of the large-scale blow molding machine, make PLC as the control center, touch screen as the human-computer interface, this passage introduce the overall plan of the control system, hardware configuration and design procedures of the software, make communication technology come true between PLC and HMI with MPI, Use PID technology, make the wall thickness come true by the way of cubic spline interpolation.
{"title":"Design and Research of Control System of the Large-Scale Accumulator Blow Molding Machine Based on PLC","authors":"Wei-min Li, Yang Xu, Dian-yi Feng, Mengli Zhou","doi":"10.2991/EMEIT.2012.243","DOIUrl":"https://doi.org/10.2991/EMEIT.2012.243","url":null,"abstract":"On the basis of process flow of the large-scale blow molding machine, make PLC as the control center, touch screen as the human-computer interface, this passage introduce the overall plan of the control system, hardware configuration and design procedures of the software, make communication technology come true between PLC and HMI with MPI, Use PID technology, make the wall thickness come true by the way of cubic spline interpolation.","PeriodicalId":211694,"journal":{"name":"Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology (2012)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121956408","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}
With the development of modern industry, image measurement technology with its high speed ,high precision and non-contact advantages receives high-profile attention. In the machine vision system the size of the process of mechanical parts measured, it is found that the accuracy of the edge position directly influence the accuracy of the measurement results. According to the research on the current sub-pixels positioning of image processing technology, this paper firstly makes a theory analysis and research about sub-pixel location methods based on gray level moment theory and the theory of Gaussian fitting. Then through the parts size measurement experiment, under the premise of contrast location with classical edge detection operators, some groups of data are extracted respectively compared to both of the detection performance and accuracy.Thus it provided the reference for the sub-pixels edge detection algorithm in the actual application.
{"title":"Research on Dimensional Measurement Based on Sub-pixel Edge Detection","authors":"Weidong Yang, Jiaxing Wang, K. Peng, Dan Sun","doi":"10.2991/EMEIT.2012.286","DOIUrl":"https://doi.org/10.2991/EMEIT.2012.286","url":null,"abstract":"With the development of modern industry, image measurement technology with its high speed ,high precision and non-contact advantages receives high-profile attention. In the machine vision system the size of the process of mechanical parts measured, it is found that the accuracy of the edge position directly influence the accuracy of the measurement results. According to the research on the current sub-pixels positioning of image processing technology, this paper firstly makes a theory analysis and research about sub-pixel location methods based on gray level moment theory and the theory of Gaussian fitting. Then through the parts size measurement experiment, under the premise of contrast location with classical edge detection operators, some groups of data are extracted respectively compared to both of the detection performance and accuracy.Thus it provided the reference for the sub-pixels edge detection algorithm in the actual application.","PeriodicalId":211694,"journal":{"name":"Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology (2012)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123319789","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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