This paper studies the centralized soccer robot vision subsystem, first it introduces the work process of vision subsystem, second it puts forward research method on goal search algorithm, and designs new methods of the dynamic window and color index table combination, the methods solve weaknesses that the target is searched slowly and lost easily, and improve the system robustness.
{"title":"Target Search Algorithms Based on the Dynamic Window and Color Index Table Combination","authors":"Li-Hua Wang, Wan-Ming Liu, W. Tian","doi":"10.1109/IHMSC.2012.64","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.64","url":null,"abstract":"This paper studies the centralized soccer robot vision subsystem, first it introduces the work process of vision subsystem, second it puts forward research method on goal search algorithm, and designs new methods of the dynamic window and color index table combination, the methods solve weaknesses that the target is searched slowly and lost easily, and improve the system robustness.","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":"116838036","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 describers the history and trends of application about TPMS, mainly introduces the basic principles of transmitter based TPMS, the structure of the system, as well as the main features of components. To solve the problem of reducing the power of the direct-type TPMS system from the engineering Application Perspective, It focuses on software processes of achieving low power consumption and the detailed steps of the detection process. In addition, test circuit is given and the software processes successfully applies to it.
{"title":"Research and Implementation of Low-power TPMS","authors":"Xi Liu, Zhong Xiao, Jian Cheng","doi":"10.1109/IHMSC.2012.49","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.49","url":null,"abstract":"This paper describers the history and trends of application about TPMS, mainly introduces the basic principles of transmitter based TPMS, the structure of the system, as well as the main features of components. To solve the problem of reducing the power of the direct-type TPMS system from the engineering Application Perspective, It focuses on software processes of achieving low power consumption and the detailed steps of the detection process. In addition, test circuit is given and the software processes successfully applies to it.","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":"131166436","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}
Non-photorealistic rendering (NPR) such as stylization has received much concern in area of computer graphics and image processing. In this paper, a simple and effective method is proposed for streamline stylization. Through a kind of sequential filters, the method performs a series of operations, including detail removal, region smoothing, structure enhancement, and edge sharpen, to transform common pictures into Impressionist oil-painting like images with streamline style. Experimental results on a gallery of images demonstrate that our method can render images in good NPR style impressively and provide encouraging visual effects.
{"title":"Non-Photorealistic Rendering for Streamline Stylization Using Sequential Filters","authors":"Xiaoguang Chen, Jiang Liu, Ran Wu","doi":"10.1109/IHMSC.2012.68","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.68","url":null,"abstract":"Non-photorealistic rendering (NPR) such as stylization has received much concern in area of computer graphics and image processing. In this paper, a simple and effective method is proposed for streamline stylization. Through a kind of sequential filters, the method performs a series of operations, including detail removal, region smoothing, structure enhancement, and edge sharpen, to transform common pictures into Impressionist oil-painting like images with streamline style. Experimental results on a gallery of images demonstrate that our method can render images in good NPR style impressively and provide encouraging visual effects.","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":"132201686","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, we propose one adaptive pinning synchronization scheme in complex dynamical networks, whose adaptive law is simple in form. When a nonlinear vector field meets different conditions, we prove that the scheme is synchronous and that the synchronous solution is locally and globally asymptotically stabile. We analyze the process of using maximum eigenvalues of low matrix to judge pinning synchronization, and give one method to calculate the number of pinning nodes. At last, three numerical simulations are given to verify the effectiveness of the proposed scheme. The first two examples show relations between maximum eigenvalues of the principal submatriecs and the number of pinning nodes under the conditions of three pinning strategies in a scale-free network and under the conditions of the random pinning strategy in a nearest-neighbor network, respectively, and the last one shows effectiveness of the adaptive pinning synchronization by selecting pinning nodes randomly in a scale-free network.
{"title":"Adaptive Pinning Synchronization in Complex Dynamical Networks with a Novel Adaptive Law","authors":"Yi Liang, Xing-yuan Wang","doi":"10.1109/IHMSC.2012.9","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.9","url":null,"abstract":"In this paper, we propose one adaptive pinning synchronization scheme in complex dynamical networks, whose adaptive law is simple in form. When a nonlinear vector field meets different conditions, we prove that the scheme is synchronous and that the synchronous solution is locally and globally asymptotically stabile. We analyze the process of using maximum eigenvalues of low matrix to judge pinning synchronization, and give one method to calculate the number of pinning nodes. At last, three numerical simulations are given to verify the effectiveness of the proposed scheme. The first two examples show relations between maximum eigenvalues of the principal submatriecs and the number of pinning nodes under the conditions of three pinning strategies in a scale-free network and under the conditions of the random pinning strategy in a nearest-neighbor network, respectively, and the last one shows effectiveness of the adaptive pinning synchronization by selecting pinning nodes randomly in a scale-free network.","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":"132997006","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 high precisely analyzing and inspecting for IC wafer image, the real-time sampling and automatic focusing of image is the key technology to guarantee acquiring sharply focused image. In this paper, a vision detecting based on embedded high-speed image sampling and automatic image focusing judgment is put forward, which includes the multitasking real-time image sampling, the precise stages control, and the management and task scheduling of automatic focus process. During the process of image sampling, FPGA and chromatic image transducer is the core of the image sampling, and to appraise the definition of the image with gray gradient judging function, compare the focusing data of mean-variance appreciation with gray level appreciation. After analyzed, the gray level focus method, which meets the need of the IC wafer micro imaging system, is obvious unimodality, with a little local peak and a low error.
{"title":"Embedded Automatic Focus Method for Precise Image Sampling","authors":"Ge Li, Deng Yaohua","doi":"10.1109/IHMSC.2012.36","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.36","url":null,"abstract":"In the high precisely analyzing and inspecting for IC wafer image, the real-time sampling and automatic focusing of image is the key technology to guarantee acquiring sharply focused image. In this paper, a vision detecting based on embedded high-speed image sampling and automatic image focusing judgment is put forward, which includes the multitasking real-time image sampling, the precise stages control, and the management and task scheduling of automatic focus process. During the process of image sampling, FPGA and chromatic image transducer is the core of the image sampling, and to appraise the definition of the image with gray gradient judging function, compare the focusing data of mean-variance appreciation with gray level appreciation. After analyzed, the gray level focus method, which meets the need of the IC wafer micro imaging system, is obvious unimodality, with a little local peak and a low error.","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":"114074944","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 order to solve the fault diagnosis problem of automobile engine, the thesis puts forward an entropy-based grey correlation fault diagnosis prediction model. In light of the momentary of oil parameter for automobile engine, entropy-based data fusion can determine the weight of each factor in comprehensive evaluation. Then it makes forecast by grey correlation and evaluation of system oil. The result indicates that, the model is reliable, with strong generalization ability and higher failure recognition rate than that of the single models.
{"title":"Entropy-based Grey Correlation Fault Diagnosis Prediction Model","authors":"Zhao Ying, Kong Li-fang, H. Guoliang","doi":"10.1109/IHMSC.2012.117","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.117","url":null,"abstract":"In order to solve the fault diagnosis problem of automobile engine, the thesis puts forward an entropy-based grey correlation fault diagnosis prediction model. In light of the momentary of oil parameter for automobile engine, entropy-based data fusion can determine the weight of each factor in comprehensive evaluation. Then it makes forecast by grey correlation and evaluation of system oil. The result indicates that, the model is reliable, with strong generalization ability and higher failure recognition rate than that of the single models.","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":"122851004","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}
How to identify community structure is a fundamental problem for analysis of complex network. In this paper we propose a novel similarity matrix of the nodes for this purpose, which combines the information of adjacency matrix and common-neighbors matrix. We compare it with diffusion kernel similarity and adjacency matrix using several algorithms which are widely used in detecting community structure, including the standard nonnegative matrix factorization, symmetric nonnegative matrix factorization and spectral clustering. The results performed on the synthetic benchmark networks show that the novel similarity matrix is relatively effective to find the community structures in networks with heterogeneous distribution of node degrees and community sizes, and this effectiveness is also manifested on the real world networks.
{"title":"A Novel Similarity Measurement for Community Structure Detection","authors":"Junyong Jiao, D. Hu, Zhongyuan Zhang","doi":"10.1109/IHMSC.2012.82","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.82","url":null,"abstract":"How to identify community structure is a fundamental problem for analysis of complex network. In this paper we propose a novel similarity matrix of the nodes for this purpose, which combines the information of adjacency matrix and common-neighbors matrix. We compare it with diffusion kernel similarity and adjacency matrix using several algorithms which are widely used in detecting community structure, including the standard nonnegative matrix factorization, symmetric nonnegative matrix factorization and spectral clustering. The results performed on the synthetic benchmark networks show that the novel similarity matrix is relatively effective to find the community structures in networks with heterogeneous distribution of node degrees and community sizes, and this effectiveness is also manifested on the real world networks.","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":"121200287","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}
Following the widely use of search engines, the impact Web crawlers have on the Web sites should not be ignored. After analyzing the navigational patterns of Web crawlers from Web logs, a new algorithm based on Web page member list is proposed. The algorithm constructs one member list for every Web page and one show table for every visitor. The experiment shows that the new algorithm can detect the unknown crawlers and unfriendly crawlers who do not obey the Standard for Robot Exclusion.
{"title":"A Web Crawler Detection Algorithm Based on Web Page Member List","authors":"Weigang Guo, Yong Zhong, Jianqin Xie","doi":"10.1109/IHMSC.2012.54","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.54","url":null,"abstract":"Following the widely use of search engines, the impact Web crawlers have on the Web sites should not be ignored. After analyzing the navigational patterns of Web crawlers from Web logs, a new algorithm based on Web page member list is proposed. The algorithm constructs one member list for every Web page and one show table for every visitor. The experiment shows that the new algorithm can detect the unknown crawlers and unfriendly crawlers who do not obey the Standard for Robot Exclusion.","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":"129103886","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 wireless sensor network may form a part of the base for cloud computing through Internet. We present a framework of task-oriented distributed data fusion, and investigate the assignments of heterogeneous sensors on nodes in the network for a specified task, assuming the network has been self-organized to be a temporally static hierarchy with fixed coordinators. The merits of the distributed data fusion are evaluated through a case study on a classic database from five aspects, quality of estimates, computing scalability, realtime performance, data flow, and energy consumption.
{"title":"Task-oriented Distributed Information Fusion in Wireless Sensor Networks","authors":"Hongmei He, Zhenhuan Zhu, E. Makinen","doi":"10.1109/IHMSC.2012.187","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.187","url":null,"abstract":"A wireless sensor network may form a part of the base for cloud computing through Internet. We present a framework of task-oriented distributed data fusion, and investigate the assignments of heterogeneous sensors on nodes in the network for a specified task, assuming the network has been self-organized to be a temporally static hierarchy with fixed coordinators. The merits of the distributed data fusion are evaluated through a case study on a classic database from five aspects, quality of estimates, computing scalability, realtime performance, data flow, and energy consumption.","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":"116964145","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 order to solve the problem of underwater acoustic target detection and identification in the low-frequency, long-range, advantages of the vector hydrophone characteristics which measures three dimensional acoustic particle velocity vector, as well as the acoustic pressure at one location, are used to improved the acoustic pressure adaptive line spectrum enhancer. Analysis of simulation data under different SNR and measured target radiated noise data show that the performance of pressure and particle velocity combined adaptive line enhancer on target radiated noise characteristic line spectrum is indeed better than the traditional ones in low SNR cases.
{"title":"The Study of Adaptive Line Spectrum Enhancement by Pressure and Particle Velocity Combined","authors":"Zhang Wei, Jinfang Cheng, Li Nan","doi":"10.1109/IHMSC.2012.108","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.108","url":null,"abstract":"In order to solve the problem of underwater acoustic target detection and identification in the low-frequency, long-range, advantages of the vector hydrophone characteristics which measures three dimensional acoustic particle velocity vector, as well as the acoustic pressure at one location, are used to improved the acoustic pressure adaptive line spectrum enhancer. Analysis of simulation data under different SNR and measured target radiated noise data show that the performance of pressure and particle velocity combined adaptive line enhancer on target radiated noise characteristic line spectrum is indeed better than the traditional ones in low SNR cases.","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":"115667138","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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