Faced with the difficulty to foresee and control the rumors about emergency events, it usually causes psychological panic and inappropriate behavior in people crowd. With the appearance of new media for rumor spreading, for example cell phones, which has something to do with the relations of people, the interpersonal relationship network of rumor spreading is becoming more and more international and complicated. In this paper, some social psychology research related with earthquake rumors in recent years is summarized. Following these achievements, we propose a global interpersonal relationship network model based on the preferential attachments and preferential strengthening mechanism between local characteristic groups. The topological properties of rumor spreading is investigated in the social individual level, and its rationality is also analyzed to well describe the statistical results of rumor spreading on the interpersonal relationship network.
{"title":"Modeling Study on the Interpersonal Relationship Network of Rumor Spreading","authors":"X. Chen, Qin Tu, Lan Zhang","doi":"10.1109/IHMSC.2012.116","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.116","url":null,"abstract":"Faced with the difficulty to foresee and control the rumors about emergency events, it usually causes psychological panic and inappropriate behavior in people crowd. With the appearance of new media for rumor spreading, for example cell phones, which has something to do with the relations of people, the interpersonal relationship network of rumor spreading is becoming more and more international and complicated. In this paper, some social psychology research related with earthquake rumors in recent years is summarized. Following these achievements, we propose a global interpersonal relationship network model based on the preferential attachments and preferential strengthening mechanism between local characteristic groups. The topological properties of rumor spreading is investigated in the social individual level, and its rationality is also analyzed to well describe the statistical results of rumor spreading on the interpersonal relationship network.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123580665","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}
The paper presents a private recommendation system based on user social preference model and online video ontology for the "information fog" problem in interactive digital television. User preference model was established by analyzing program ontological stratification characteristics, user behavior and user social network relationships. Thus the technology initiative personalized program recommended and personalized presents of online video search results based on individual preference. Finally, the simulation system test to verify this proposed program is feasible.
{"title":"Private Recommendation System Based on User Social Preference Model and Online-video Ontology in Interactive Digital TV","authors":"Meng Chen, Cheng Yang","doi":"10.1109/IHMSC.2012.158","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.158","url":null,"abstract":"The paper presents a private recommendation system based on user social preference model and online video ontology for the \"information fog\" problem in interactive digital television. User preference model was established by analyzing program ontological stratification characteristics, user behavior and user social network relationships. Thus the technology initiative personalized program recommended and personalized presents of online video search results based on individual preference. Finally, the simulation system test to verify this proposed program is feasible.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124787386","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}
Hui Li, Lei Yang, Xiaoyu Wu, Shengmiao Xu, Youwen Wang
In this paper, we propose and implement a novel method for recognition static hand gestures using depth data from Kinect sensor of Microsoft. Compared to the entire human body, the hand is a smaller object with more complex articulations and more easily affected by segmentation errors. So it is a very challenging problem to recognize hand gestures. Our approach involves choosing HOG feature with both geometric moment invariant features and adapted to the light transform by analyzing the features of hands characteristics. Through the rapid cascade Adaboost training algorithm obtains the training models of gestures and matches them, thus build the accuracy and efficiency hand gesture recognition system using the Kinect sensor.
{"title":"Static Hand Gesture Recognition Based on HOG with Kinect","authors":"Hui Li, Lei Yang, Xiaoyu Wu, Shengmiao Xu, Youwen Wang","doi":"10.1109/IHMSC.2012.75","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.75","url":null,"abstract":"In this paper, we propose and implement a novel method for recognition static hand gestures using depth data from Kinect sensor of Microsoft. Compared to the entire human body, the hand is a smaller object with more complex articulations and more easily affected by segmentation errors. So it is a very challenging problem to recognize hand gestures. Our approach involves choosing HOG feature with both geometric moment invariant features and adapted to the light transform by analyzing the features of hands characteristics. Through the rapid cascade Adaboost training algorithm obtains the training models of gestures and matches them, thus build the accuracy and efficiency hand gesture recognition system using the Kinect sensor.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129816811","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}
Internet public opinion increasingly influences daily lives of peoples and social stability. With the development of the Internet, the amount of information on the Internet is huge and updated quickly, which makes public opinion mining face enormous challenges in dealing with huge amounts of information and complex data. This paper proposes an internet Hot Topic Detection scheme based on cloud computing platform. The MapReduce programming model is introduced into the network public opinion analysis for processing massive, complex data. This scheme uses named entity words as text features, and the title and body are combined as two-dimensional VSM (vector space model) to represent text, to improve the accuracy of the Internet public opinion and the system response speed.
{"title":"Research on Internet Hot Topic Detection Based on MapReduce Architecture","authors":"Zheng Fen, Xu Yabin, Li Yanping","doi":"10.1109/IHMSC.2012.26","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.26","url":null,"abstract":"Internet public opinion increasingly influences daily lives of peoples and social stability. With the development of the Internet, the amount of information on the Internet is huge and updated quickly, which makes public opinion mining face enormous challenges in dealing with huge amounts of information and complex data. This paper proposes an internet Hot Topic Detection scheme based on cloud computing platform. The MapReduce programming model is introduced into the network public opinion analysis for processing massive, complex data. This scheme uses named entity words as text features, and the title and body are combined as two-dimensional VSM (vector space model) to represent text, to improve the accuracy of the Internet public opinion and the system response speed.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130195868","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}
Data association is one of the key issues in SLAM. Against the accuracy of NN data association is low, but its efficiency is high and JCBB data association have high accuracy, but its efficiency is low, a hybrid data association strategy is proposed. At first NN produce an assumption H, according to conditions to decide whether we correct it or take what kind of corrective actions to get new assumption. Simulation results show that, both static environment and dynamic environment, this method is effective, the correlation results are reliable and its time performance is significantly better than JCBB.
{"title":"A Hybrid Data Association Strategy in SLAM","authors":"J. Xiong, Yan Li","doi":"10.1109/IHMSC.2012.93","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.93","url":null,"abstract":"Data association is one of the key issues in SLAM. Against the accuracy of NN data association is low, but its efficiency is high and JCBB data association have high accuracy, but its efficiency is low, a hybrid data association strategy is proposed. At first NN produce an assumption H, according to conditions to decide whether we correct it or take what kind of corrective actions to get new assumption. Simulation results show that, both static environment and dynamic environment, this method is effective, the correlation results are reliable and its time performance is significantly better than JCBB.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126941507","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 the scene matching system, difference between realtime image and reference image often makes the true matched point deviate from the maximum peak of correlation plane, which leads the conventional decision making method based on maximum peak("MPDM" for short)" to mismatch. Aiming at this problem, a new matching approach based on fusion feature of correlation peak is proposed in this paper. First, by analyzing the peak properties corresponding to the true matched point, fusion feature based on the relative height (RH) of peak, peak value ratio within 8-neighborhood of peak (NBR) and sharpness of peak (SP) is taken as matching criteria, then, by setting a proper threshold of indicating the permissible minimum difference among those chosen fusion features, the real-time images whose matching results are sensible to image alterations are discarded, which increase the credibility of matching result.
{"title":"A Reliable Scene Matching Approach Based on the Fusion Feature of Correlation Peak","authors":"Yanjun Fu, Shufu Dong, Kaifeng Sun","doi":"10.1109/IHMSC.2012.94","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.94","url":null,"abstract":"In the scene matching system, difference between realtime image and reference image often makes the true matched point deviate from the maximum peak of correlation plane, which leads the conventional decision making method based on maximum peak(\"MPDM\" for short)\" to mismatch. Aiming at this problem, a new matching approach based on fusion feature of correlation peak is proposed in this paper. First, by analyzing the peak properties corresponding to the true matched point, fusion feature based on the relative height (RH) of peak, peak value ratio within 8-neighborhood of peak (NBR) and sharpness of peak (SP) is taken as matching criteria, then, by setting a proper threshold of indicating the permissible minimum difference among those chosen fusion features, the real-time images whose matching results are sensible to image alterations are discarded, which increase the credibility of matching result.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126947118","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 visual servo control system, the design of visual loop is a key link to precise tracking. To improve tracking accuracy, we discuss a FCMAC-based (fuzzy cerebellar model articulation controller) control strategy. The controller includes a basic proportional regulator and a FCMAC controller. The two blocks work together to approximate the visual-mapping model through an adaptive online learning law to adjust the weights of the network. By mapping the 2-D image characteristic space to the 3-D kinematic space, we can achieve the control task of a turntable directly through visual information. Applying the proposed method to a two-axis turntable to track a dynamic object, experimental result indicates that FCMAC is capable of accurately approximating visual-mapping model. The visual system shows a good performance in both accuracy and robustness.
{"title":"Visual Servo Control of a Two-axis Turntable Based on Fuzzy Cerebellar Model Articulation Controller","authors":"Zhou Chuang, Cheng Xiaotian, Hu Fang","doi":"10.1109/IHMSC.2012.110","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.110","url":null,"abstract":"In visual servo control system, the design of visual loop is a key link to precise tracking. To improve tracking accuracy, we discuss a FCMAC-based (fuzzy cerebellar model articulation controller) control strategy. The controller includes a basic proportional regulator and a FCMAC controller. The two blocks work together to approximate the visual-mapping model through an adaptive online learning law to adjust the weights of the network. By mapping the 2-D image characteristic space to the 3-D kinematic space, we can achieve the control task of a turntable directly through visual information. Applying the proposed method to a two-axis turntable to track a dynamic object, experimental result indicates that FCMAC is capable of accurately approximating visual-mapping model. The visual system shows a good performance in both accuracy and robustness.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385901","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}
We propose an efficient C-V model with wavelet transform to speed up the C-V model evolution. Firstly, the image is decomposed into the downsizing and approximation sub-image with wavelet transform. Then the sub-image composed with the approximation wavelet coefficient matrix is pre-segmented using C-V model to get an approximation curve in a short time. Thirdly, in order to get a fine segmentation, the original image is segmented subtly using C-V model again, of which the initial curve is reconstructed by the result of pre-segmentation. The experimental results validate the effectiveness and feasibility of this model.
{"title":"An Efficient C-V Model with Wavelets","authors":"Jifei Liu, L. Min","doi":"10.1109/IHMSC.2012.48","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.48","url":null,"abstract":"We propose an efficient C-V model with wavelet transform to speed up the C-V model evolution. Firstly, the image is decomposed into the downsizing and approximation sub-image with wavelet transform. Then the sub-image composed with the approximation wavelet coefficient matrix is pre-segmented using C-V model to get an approximation curve in a short time. Thirdly, in order to get a fine segmentation, the original image is segmented subtly using C-V model again, of which the initial curve is reconstructed by the result of pre-segmentation. The experimental results validate the effectiveness and feasibility of this model.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836768","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 the environment of ADVISOR developed from the Matlab/Simulink, a fuzzy control strategy is proposed for series - parallel hybrid electric vehicle (PSHEV) using fuzzy logic and the curve of maximum engine power. The fuzzy control strategy not only absorbs some benefits of the logic threshold control strategy, but also uses fuzzy logic to build torque distribution controller to distribute the torque of the hybrid system. In the progress of designing and researching fuzzy logic control strategy, the structural characteristics of the hybrid driving system and control objectives are analyzed in detail. Then use fuzzy logic technology to complete the design and development of control strategies. Finally, take the fuzzy strategy into the simulation of a variety of road conditions. Through the analysis and comparison, the simulation results show that the fuel economy of the fuzzy control strategy has been greatly improved by 6% compared to conventional logic threshold control strategy.
{"title":"Investigation to Simulation of Control Strategy for Series-Parallel Hybrid Electric Vehicle","authors":"Yunpeng Li, Peng Yi, Meng Wang","doi":"10.1109/IHMSC.2012.145","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.145","url":null,"abstract":"In the environment of ADVISOR developed from the Matlab/Simulink, a fuzzy control strategy is proposed for series - parallel hybrid electric vehicle (PSHEV) using fuzzy logic and the curve of maximum engine power. The fuzzy control strategy not only absorbs some benefits of the logic threshold control strategy, but also uses fuzzy logic to build torque distribution controller to distribute the torque of the hybrid system. In the progress of designing and researching fuzzy logic control strategy, the structural characteristics of the hybrid driving system and control objectives are analyzed in detail. Then use fuzzy logic technology to complete the design and development of control strategies. Finally, take the fuzzy strategy into the simulation of a variety of road conditions. Through the analysis and comparison, the simulation results show that the fuel economy of the fuzzy control strategy has been greatly improved by 6% compared to conventional logic threshold control strategy.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645898","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 introduces a model of grey incidence prediction based on minimum distance cluster analysis. Due to the fact that there are too many sub-indexes for performance parameter of automobile engine, cluster analysis is conducted to realize dimension reduction. This model was combined with characteristic performance of automobile engine to attain the degrees of engine performance's state for monitoring engine performance. This method finds out the potential forepart fault of engine and prevents the spread of the fault. The result indicates that, the prediction model is better than that of the single models for higher precision and smaller error.
{"title":"Research of Grey Incidence Cluster Prediction Analysis Model","authors":"Li Dong, Kong Li-fang, Zhao Ying","doi":"10.1109/IHMSC.2012.118","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.118","url":null,"abstract":"This paper introduces a model of grey incidence prediction based on minimum distance cluster analysis. Due to the fact that there are too many sub-indexes for performance parameter of automobile engine, cluster analysis is conducted to realize dimension reduction. This model was combined with characteristic performance of automobile engine to attain the degrees of engine performance's state for monitoring engine performance. This method finds out the potential forepart fault of engine and prevents the spread of the fault. The result indicates that, the prediction model is better than that of the single models for higher precision and smaller error.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126730961","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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