Feature subset selection is a pattern recognition problem which is usually viewed as a data mining enhancement technique. By viewing the imprecise feature values as fuzzy sets, the information it contains would not be lost compared with the traditional methods. Optimal fuzzy-valued feature subset selection (OFFSS) is a technique for fuzzy-valued feature subset selection. The core of OFFSS is the heuristic search algorithm for finding a path in the extension matrix where elements are the overlapping degree of two fuzzy sets. The path is all the elements less than or equal to a certain threshold value. Different threshold values would seriously affect the quality of the feature subset. The method of determining the threshold value has not been discussed in OFFSS. This paper focuses on the problem of determining the threshold value dynamically in OFFSS. By applications of the result feature subset to fuzzy decision tree induction and by comparison with the original algorithm, the revised algorithm is demonstrated more satisfying training and testing accuracy in the selected five UCI standard datasets.
{"title":"Dynamically Threshold Value Determination in the Optimal Fuzzy-Valued Feature Subset Selection","authors":"Jirong Li","doi":"10.1109/IHMSC.2012.28","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.28","url":null,"abstract":"Feature subset selection is a pattern recognition problem which is usually viewed as a data mining enhancement technique. By viewing the imprecise feature values as fuzzy sets, the information it contains would not be lost compared with the traditional methods. Optimal fuzzy-valued feature subset selection (OFFSS) is a technique for fuzzy-valued feature subset selection. The core of OFFSS is the heuristic search algorithm for finding a path in the extension matrix where elements are the overlapping degree of two fuzzy sets. The path is all the elements less than or equal to a certain threshold value. Different threshold values would seriously affect the quality of the feature subset. The method of determining the threshold value has not been discussed in OFFSS. This paper focuses on the problem of determining the threshold value dynamically in OFFSS. By applications of the result feature subset to fuzzy decision tree induction and by comparison with the original algorithm, the revised algorithm is demonstrated more satisfying training and testing accuracy in the selected five UCI standard datasets.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129520837","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}
In this paper a new algorithm is proposed for extracting medial axes of object. This algorithm is based on minimum exterior rectangle and edge detection. First, edge detection algorithm is used to each image to obtain all the boundary points exactly, and the center of each object is evaluated. Then, the directions of major and minor axes of the object be obtained using the center-point and boundary-points. The four vertexes of the bounding rectangle are computed by pair wise solving the four straight lines. At last, using FMABR's short axes to scan the object boundary points, all the middle point of the line which made by the scan line and boundary points buildup the medial axes of the object's body. The algorithm has both simplicity and accuracy properties.
{"title":"Algorithm for Generating Body Medial Axes Based on Minimum Exterior Rectangle","authors":"Jin Zhi-yuan, Jia Ji-xuan, Chang Yan-fen","doi":"10.1109/IHMSC.2012.99","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.99","url":null,"abstract":"In this paper a new algorithm is proposed for extracting medial axes of object. This algorithm is based on minimum exterior rectangle and edge detection. First, edge detection algorithm is used to each image to obtain all the boundary points exactly, and the center of each object is evaluated. Then, the directions of major and minor axes of the object be obtained using the center-point and boundary-points. The four vertexes of the bounding rectangle are computed by pair wise solving the four straight lines. At last, using FMABR's short axes to scan the object boundary points, all the middle point of the line which made by the scan line and boundary points buildup the medial axes of the object's body. The algorithm has both simplicity and accuracy properties.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831804","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}
M. Feng, Peng Jia, Xiao Wang, Hongquan Liu, Jian Cao
Road detection is a key task in developing an intelligent vehicle. Typical methods using machine vision suffer from being easy to be influences by outer conditions, so here we designed a new method to detect roads by a laser radar. Considering the intelligent vehicle may face much trouble in unsmoothed road, in road with anomalous edges or running crosswise with the road direction, we present a method named rectangle-searching algorithm to deal with these problems. In this algorithm, a rectangle is found out by the basis that the number of points involved in the rectangle should be as many as possible, while the size of the rectangle should keep small enough. After finding out the rectangle, an algorithm based on standard deviation is introduced to extract road edge points from road lines, which may help getting the road line from the rectangle. Experimental results validate efficiency and effectiveness of the algorithm.
{"title":"Structural Road Detection for Intelligent Vehicle Based on a 2d Laser Radar","authors":"M. Feng, Peng Jia, Xiao Wang, Hongquan Liu, Jian Cao","doi":"10.1109/IHMSC.2012.80","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.80","url":null,"abstract":"Road detection is a key task in developing an intelligent vehicle. Typical methods using machine vision suffer from being easy to be influences by outer conditions, so here we designed a new method to detect roads by a laser radar. Considering the intelligent vehicle may face much trouble in unsmoothed road, in road with anomalous edges or running crosswise with the road direction, we present a method named rectangle-searching algorithm to deal with these problems. In this algorithm, a rectangle is found out by the basis that the number of points involved in the rectangle should be as many as possible, while the size of the rectangle should keep small enough. After finding out the rectangle, an algorithm based on standard deviation is introduced to extract road edge points from road lines, which may help getting the road line from the rectangle. Experimental results validate efficiency and effectiveness of the algorithm.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131646992","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}
A similarity test based on the context of the skeleton is put forward to evaluate the similarity between two brush inks. The context information of skeleton points is computed after the skeleton points of strokes from virtual ink and true ink are collected to obtain the similarity of different ink. The similarity of strokes from two inks is embodied by the sum of similarity of all skeleton points. It is proved that the similarity can be 0-1 and the larger value representing more similar of the two inks. The number of skeleton points makes no difference to the conclusion. Both experiments demonstrated that it is feasible of the method based on the context of skeleton points.
{"title":"An Assessment Method for Ink Marks","authors":"Lijuan Han, Yuhong Sun, Wanli Huang","doi":"10.1109/IHMSC.2012.157","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.157","url":null,"abstract":"A similarity test based on the context of the skeleton is put forward to evaluate the similarity between two brush inks. The context information of skeleton points is computed after the skeleton points of strokes from virtual ink and true ink are collected to obtain the similarity of different ink. The similarity of strokes from two inks is embodied by the sum of similarity of all skeleton points. It is proved that the similarity can be 0-1 and the larger value representing more similar of the two inks. The number of skeleton points makes no difference to the conclusion. Both experiments demonstrated that it is feasible of the method based on the context of skeleton points.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133680131","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}
Li Zhang, Gao-Xia Wang, Jun Zhu, Xiaofeng He, Peng Liu
This paper uses the artificial bee colony (ABC) algorithm for solving the optimal dynamic dispatch (ODD) problems in power system. Many nonlinear characteristics of the generator, such as valve-point effects and the transmission network loss are considered. To show its feasibility and effectiveness, two different systems are demonstrated and compared to other approaches solving the same problem. Moreover, some parameters in ABC algorithm are analyzed as well as the mechanism in the algorithm. Numerical results show that the ABC algorithm can provide accurate dispatch solutions within reasonable time for certain type of fuel cost functions.
{"title":"Artificial Bee Colony Algorithm for Optimal Dynamics Dispatch Problem","authors":"Li Zhang, Gao-Xia Wang, Jun Zhu, Xiaofeng He, Peng Liu","doi":"10.1109/IHMSC.2012.85","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.85","url":null,"abstract":"This paper uses the artificial bee colony (ABC) algorithm for solving the optimal dynamic dispatch (ODD) problems in power system. Many nonlinear characteristics of the generator, such as valve-point effects and the transmission network loss are considered. To show its feasibility and effectiveness, two different systems are demonstrated and compared to other approaches solving the same problem. Moreover, some parameters in ABC algorithm are analyzed as well as the mechanism in the algorithm. Numerical results show that the ABC algorithm can provide accurate dispatch solutions within reasonable time for certain type of fuel cost functions.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133175289","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}
China is faced with the two big structural shifts, which are the aging of low-end labor population and the increase of the absolute number of middle and high-end labor day by day. Through the comparison of different influences that different labor have on the efficiency of economic growth and salary, this paper finds that the shift of the labor structure has affected the wage structure of labor market, namely, in the labor market, the negotiation ability of low-end labor having exceeded high-end labor's; At the same time, this paper proves that most scholars support the investment of middle high-end labor force can improve the efficiency of economic growth better than the investment of low-end labor. It can be concluded that, in China along with the adjustment of industrial structure, the continual rise of the absolute number of middle and high-end labor, to some degree, can make up for the loss in the efficiency of economic growth brought by the aging of low-end labor.
{"title":"Labor Structure, Wage and Efficiency of Economic Growth","authors":"Zaijin Lin, He Chen","doi":"10.1109/IHMSC.2012.136","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.136","url":null,"abstract":"China is faced with the two big structural shifts, which are the aging of low-end labor population and the increase of the absolute number of middle and high-end labor day by day. Through the comparison of different influences that different labor have on the efficiency of economic growth and salary, this paper finds that the shift of the labor structure has affected the wage structure of labor market, namely, in the labor market, the negotiation ability of low-end labor having exceeded high-end labor's; At the same time, this paper proves that most scholars support the investment of middle high-end labor force can improve the efficiency of economic growth better than the investment of low-end labor. It can be concluded that, in China along with the adjustment of industrial structure, the continual rise of the absolute number of middle and high-end labor, to some degree, can make up for the loss in the efficiency of economic growth brought by the aging of low-end labor.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114414231","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}
To build Green Internet, create healthy, clean network environment, spam page identification has become not only an essential part of web search services, but also a critical and important link to search engine technology. In order to significantly improve the accuracy and efficiency of identification, this paper proposes a scheme for efficient and flexible identification based on cloud computing.
{"title":"Research about Spam Page Identification Based on Cloud Computing in Search Service","authors":"C. Junyi, Xu Yabin, Li Yanping","doi":"10.1109/IHMSC.2012.25","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.25","url":null,"abstract":"To build Green Internet, create healthy, clean network environment, spam page identification has become not only an essential part of web search services, but also a critical and important link to search engine technology. In order to significantly improve the accuracy and efficiency of identification, this paper proposes a scheme for efficient and flexible identification based on cloud computing.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114789168","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}
Speech control technology is one of the important technologies at present, that is broadly researched and applied and is valuable for human-machine interactive intelligent control system. The design used Sunplus SPCE061A as voice recognition to collect, analysis, identify and implement correspondent judgment to the voice. As the core processor of the robot, AT89S52 collect, analysis and process various signals. AT89C2051 is used to be the robot arm servo motor drive chip. Throughout the robot system, the core chip uses parallel port and serial port to realize communication and set the control of authority. The system has been tested and the result shows its high accuracy of speech recognition and powerful control ability.
{"title":"Design of Speech Recognition Robot Based on MCU","authors":"Yonghui Xing, Wenzhuo Chen","doi":"10.1109/IHMSC.2012.70","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.70","url":null,"abstract":"Speech control technology is one of the important technologies at present, that is broadly researched and applied and is valuable for human-machine interactive intelligent control system. The design used Sunplus SPCE061A as voice recognition to collect, analysis, identify and implement correspondent judgment to the voice. As the core processor of the robot, AT89S52 collect, analysis and process various signals. AT89C2051 is used to be the robot arm servo motor drive chip. Throughout the robot system, the core chip uses parallel port and serial port to realize communication and set the control of authority. The system has been tested and the result shows its high accuracy of speech recognition and powerful control ability.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114812203","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}
This paper presents an algorithm of real-time image of moving targets identification based on the fast discrete Curvelet transform. Curvelet, as a new multiscale analysis algorithm, is more appropriate for the analysis of the image edges such as curve and line characteristics than wavelet, and it has better approximation precision and sparsity description. Introduced the curvelet transform to image processing, characteristics of original images are taken better and information for feature extraction is obtained more. The proposal of the second generation curvelet theory makes it to be understood and implemented more easily. Then the fast discrete curvelet transform based image moving targets identification method is proposed. Firstly, the source images are decomposed using curvelet transform, then extract the feature using the edge detection, and finally, get the results through the morphological analysis. Results of simulation experiment show the new method is speedy and very robust.
{"title":"Research on Real-time Images of Moving Targets Identification Based on the Fast Discrete Curvelet Transform","authors":"Bo Mao, Changjiang Feng","doi":"10.1109/IHMSC.2012.127","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.127","url":null,"abstract":"This paper presents an algorithm of real-time image of moving targets identification based on the fast discrete Curvelet transform. Curvelet, as a new multiscale analysis algorithm, is more appropriate for the analysis of the image edges such as curve and line characteristics than wavelet, and it has better approximation precision and sparsity description. Introduced the curvelet transform to image processing, characteristics of original images are taken better and information for feature extraction is obtained more. The proposal of the second generation curvelet theory makes it to be understood and implemented more easily. Then the fast discrete curvelet transform based image moving targets identification method is proposed. Firstly, the source images are decomposed using curvelet transform, then extract the feature using the edge detection, and finally, get the results through the morphological analysis. Results of simulation experiment show the new method is speedy and very robust.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131822869","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}
In view of the future development trends of Spacecraft Autonomy as well as particularity of Spacecraft Propulsion System, this paper proposes a model-based approach to Intelligent Configuration and Reconfiguration of Spacecraft Propulsion System. In this paper, given advantages of Satisfiability (SAT) planning in calculation performance and knowledge representation, we advance to transform Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System into an Optimization Satisfiability problem and put forward a Clause-Based A* (CBA*) solving algorithm based on characteristic of description in SAT form. Finally, taking a high redundant spacecraft propulsion system as the object, the feasibility of SAT-based Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System is verified.
{"title":"Model-based Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System","authors":"X. Peng, Zheng Yan, Yanjun Li, Jianjun Wu","doi":"10.1109/IHMSC.2012.98","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.98","url":null,"abstract":"In view of the future development trends of Spacecraft Autonomy as well as particularity of Spacecraft Propulsion System, this paper proposes a model-based approach to Intelligent Configuration and Reconfiguration of Spacecraft Propulsion System. In this paper, given advantages of Satisfiability (SAT) planning in calculation performance and knowledge representation, we advance to transform Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System into an Optimization Satisfiability problem and put forward a Clause-Based A* (CBA*) solving algorithm based on characteristic of description in SAT form. Finally, taking a high redundant spacecraft propulsion system as the object, the feasibility of SAT-based Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System is verified.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128505958","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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