{"title":"H/spl infin/ robust filter design of fuzzy dynamic systems","authors":"Meng Chen, G. Feng, Yixin Yin, Haiyan Ma","doi":"10.1109/ICIA.2005.1635078","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635078","url":null,"abstract":"This paper addresses robust H/spl infin/ filtering of fuzzy dynamic systems based on a piecewise Lyapunov function. It has been shown that the robust filtering design problem can be solved by using linear matrix inequalities and variable linearization technique. A simulation example is also given to illustrate the performance of the proposed approaches.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114719216","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}
{"title":"A survey of desert ant navigation","authors":"Gao Jun, Wang Lei, Yang Xuezhi","doi":"10.1109/ICIA.2005.1635062","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635062","url":null,"abstract":"Desert ant (Cataglyphis) is famous for its ability in navigation. In a desert with very few visual and odor information, the ant can return it's den almost along a straight line after foraging away in a distance of much more than thousands of times of it's body length. Two main mechanisms compose Cataglyphis's navigational toolbox: path integration and visual navigation. Path integration is achieved by using sky light compass based on polarized light and odometer, while visual navigation relies on landmark based memory and matching. In this paper, a survey of research work on desert ant navigation is presented, as well as the application of these navigation mechanism of desert ant to robots' navigation, especially bionic robots cruising in strange environment.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387865","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}
{"title":"Learning particle filter for multiple target tracking","authors":"Lai-xiong Wang, Yangping Chen, Shitan Huang","doi":"10.1109/ICIA.2005.1635160","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635160","url":null,"abstract":"This paper presents a learning particle filter (LPF) to solve the problems of uncertainty, varying number, overlap, ambiguous, non-rigid, nonlinear, and non-Gaussian in tracking multiple visual targets. Evolution learning obtains a detector that guides proposal distribution originally, and then online learning renders the detector adaptive to pose altering and proposal distribution closer to posterior distribution. Simulation results demonstrate the performance of LPF algorithm.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125401447","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}
{"title":"Recognition of contact state of arrayed type tactile sensor by using neural network","authors":"T. Tanaka, K. Makihira, S. Aoyagi","doi":"10.1109/ICIA.2005.1635050","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635050","url":null,"abstract":"In this research, the output of an arrayed type tactile sensor is simulated by using a finite element method. The information of this output is processed using a neural network, and the 14 types of objects are recognized. This recognition succeeded even if the contact position and the rotation angle of these objects are changed.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127033976","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}
{"title":"The approach of concept designing of the products based on ant clustering","authors":"Chunlai Zhou, Zhigang Li","doi":"10.1109/ICIA.2005.1635119","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635119","url":null,"abstract":"An approach of concept designing of the products based on ant clustering is presented. The database of products and assembly as well as parts in the expert system is clustered based ant algorithm and expressed by feature vectors. A concept designing specifications of a product is mapped into feature vectors, by matching the feature vectors with the feature vectors of products and assembly as well as parts in the database, by means of pattern recognition way to decide the class to be designed concept product. The concept designing product is produced by driving the parameter models of the product and assembly and parts.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121505872","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}
Fuxue Zhang, Hongwei Wang, Wei Zhang, Xu Mao, N. Zhang
{"title":"A silicon micromachined gyroscope driven by the rotating carrier's angle velocity","authors":"Fuxue Zhang, Hongwei Wang, Wei Zhang, Xu Mao, N. Zhang","doi":"10.1109/ICIA.2005.1635068","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635068","url":null,"abstract":"In this paper, a novel silicon micromachined gyroscope is introduced, which is driven by the rotating carrier's angular velocity. The principle of structure is analyzed .The mathematic module is also established and authors calculate the dynamics parameters of the gyroscope. The theories research and computer imitation have certificated that the principle of the gyroscope is correct.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125141199","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}
{"title":"A robust technique for structure from planar motion using image sequences","authors":"Chen Tai, Yun-hui Liu","doi":"10.1109/ICIA.2005.1635141","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635141","url":null,"abstract":"This paper proposes a robust method for recovery of motion and structure from two image sequences taken by stereo cameras undergoing a planar motion. The feature correspondence between images are extracted and refined automatically by the relation of the stereo cameras and the property of the motion. To improve the robustness, the random sample consensus (RANSAC) algorithm is adopted in the motion and structure estimation. Unlike other researchers to recover of epipolar geometry, here we use it to recover the 2D motion and to exclude the outliers not only out of the epipolar lines but also in them. Also the spirit of RANSAC is used in structure estimation to exclude the outlier from the sequence view. The most important contribution of this work is a way to make this estimation scheme more robust and efficient so as to be used in real applications. The experiments indoor and outdoor have been done to verify the feasibility of the algorithm. The results show the algorithm is robust and efficient for applications in planar motion.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124677624","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}
{"title":"An integrated relative displacement sensor for magnetorheological damper","authors":"D. Lai, D.H. Wang","doi":"10.1109/ICIA.2005.1635086","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635086","url":null,"abstract":"A novel approach to make magnetorheological (MR) dampers self-sensing based on the magnetic flux linkage measurement and the working principle of an integrated relative displacement sensor (IRDS) integrated into a commercially available MR damper are presented. The IRDS mainly comprises an exciting coil wound on the piston head and an induction coil wound on the nonmagnetic cylinder, which is covered by a cylindrical cover made from the materials with high magnetic permeability. In order to validate and optimize the performance of the IRDS, the modeling and analyzing with the finite element method based on ANSYS are carried out and the simulation results are presented.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133618756","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}
{"title":"DSA image registration based on multiscale Gabor filters and mutual information","authors":"Z. Cao, Xiaoxiao Liu, Bo Peng, Y. Moon","doi":"10.1109/ICIA.2005.1635063","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635063","url":null,"abstract":"In clinical practice, digital subtraction angiography (DSA) is a powerful technique for the visualization of blood vessels in X-ray image sequences. Different with traditional DSA image registration processes, in our proposed image registration method, the control points are selected from the vessel centerlines using multiscale Gabor filters, and mutual information (MI) is then taken as the similarity criterion to find the correspondences. Experimental results demonstrate our algorithm efficiently yields satisfying registration result for DSA images.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130119164","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}
{"title":"Data-driven signal decomposition method","authors":"Pornchai Chanyagorn, M. Cader, H. Szu","doi":"10.1109/ICIA.2005.1635133","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635133","url":null,"abstract":"This paper introduces the data-driven signal decomposition method based on the empirical mode decomposition (EMD) technique. The decomposition process uses the data themselves to derive the base function in order to decompose the one-dimensional signal into a finite set of intrinsic mode signals. The novelty of EMD is that the decomposition does not use any artificial data windowing which implies fewer artifacts in the decomposed signals. The results show that the method can be effectively used in analyzing non-stationary signals. Furthermore, we applied this method to analyze closing equity prices of a financial stock. The result demonstrates the usefulness of the method in analyzing financial time series data, and some practical considerations in envelope estimation.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"64 6 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130147934","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}