{"title":"Molecule algorithm for perfect matching problem based on sticker models","authors":"Dong Yafei, Zheng Xuedong, Wang Shudong","doi":"10.1109/ICIMA.2004.1384198","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384198","url":null,"abstract":"Perfect matching problem is a difticult problem in combinatorial and Optimization, which has general values in engineering practice, such as the distribution of people and the optimum mapping. Based on the basic ideas of the sticker models, through a special link mode between PNA (peptide nucleic acid), a new type of biological material, and DNA molecule, the molecule algorithm for matching problem is discussed in this paper.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133492704","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}
F. Cong, Peng Jia, Shaoling Ji, Xizhi Shi, Zhenhai Wang, Chi Hau Chen
{"title":"Approach based on colored character to blind deconvolution for speech signals","authors":"F. Cong, Peng Jia, Shaoling Ji, Xizhi Shi, Zhenhai Wang, Chi Hau Chen","doi":"10.1109/ICIMA.2004.1384227","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384227","url":null,"abstract":"The time-based convolutive mixing can be transformed to the frequency-based instantaneous mixing in blind problems as the convolution operation in time domain corresponds to a multiplication in frequency one. After performing blocks on the whole speech signal, and applying Fast Fourier Transform (FFT) on each blocked signal, the new colored instantaneous mixing signals in frequency domain are constructed. Making use of the Second Order Statistics (SOS), the unmixed matrices are respectively computed at each frequency bin by blind separation based on cost function which is aimed at colored signals. Thus, in time domain, deconvolution is performed after employing correlation-based permutation to the inferred signals which are associated with the unmixed matrices at different frequency bins. The experiment proves the effectiveness of the approach to blind deconvolution by blind separation in frequency domain.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132710187","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":"Generalized method of fuzzy interpolative-type reasoning based on lagrange's interpolation","authors":"Baowen Wang, Xiaodong Shao, Wenyuan Liu, Yan Shi","doi":"10.1109/ICIMA.2004.1384321","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384321","url":null,"abstract":"When fuvy rule base is sparse, reference (I) proposed a fuzzy interpolative-type reasoning based on Lagrange's interpolation. This fuzzy reasoning method can guarantee the membership function of the inference consequence to be of ~iamgular-fypeiiall ofmembership fyDEtiDllE dfuuy rules and an Observation are given by triangular-type when fuzzy rule base is sparse. But to many membership functions of other type, this method is not applicable. We generalized this method so that this method is applicable to most normal convex fuzzy sets.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132995481","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":"Application of MIMU/magnetometer integrated system on the attitude determination of micro satellite","authors":"K. Su, D. Ren, Z. You, Q. Zhou","doi":"10.1109/ICIMA.2004.1384262","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384262","url":null,"abstract":"Micro Inertial Measurement Unit (MIMU) has given Inertial Measurement Unit (IMU) a widely application respective. In this paper, we study the application of MIMUl magnetometer integrated system on the attitude determination of micro satellite. Based on the principle of MIMU and the` measurement of magnetometer, MIMU/magnetometer system is integrated. Through designing the simulatien models of attitude determination for micro satellite, consisted of< the `SGP4 orbit model, the IGRF model and the satellite dynamic model, we do the simulation research. Simulation results with EKF show that, in 1/3 orbit time, the measurement error of attitude angular is controlled within 0.5 deg, meeting the requirement of the micro satellite attitude determination. In addition, we compare the UKF results with the EKF and find the UKF results converge faster than the EKF while the state estimate precision of the two filters are comparable.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103283","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":"Perspective observation based motion recovery","authors":"Xinkai Chen, H. Kano, R. Abdursul","doi":"10.1109/ICIMA.2004.1384157","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384157","url":null,"abstract":"The recovery of motion for a class of movements in the space by using the perspective observation of one point is considered in this paper. The motion equation can cover a wide class of practical movements in the space. The estimations of the position and motion parameters which are all time-varying are simultaneously developed in the proposed algorithm. The formulated problem can be converted into the observation of a dynamical system with nonlinearities. The proposed observer is based on the second method of Lyapunov. First, the parameters relating to the rotation of the motion are identified, where only one camera is needed. Then the position of the moving object is identified, where the stereo vision is necessary. In the third step, the parameters relating to the straight movement are identified. The assumptions about the perspective system are reasonable, and the convergence conditions are intuitive and have apparently physical interpretations. The proposed method requires minor (I priori knowledge about the system and can cope with a much more general class of perspective systems. Furthermore, the algorithm is modified to deal with the occlusion phenomenon.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116328751","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":"Flow line machining of turbine blades","authors":"S. Ding, D.C.H. Yang, Zhonglin Han","doi":"10.1109/ICIMA.2004.1384177","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384177","url":null,"abstract":"Flow line machining is a new method to mill free- form surfaces with tool paths that reflect the nature shapes of surfaces. High efficiency machining of turbine blades requires the two sides of the blade to be milled together from top to bottom continuously. Currently available CAD/CAM systems in market have the functions to provide flow line tool paths, but are unable to process complicated surfaces, for example, to mill the whole blade which are trimmed surfaces iin once. This paper introduces the implementation of a new tool path generation algorithm - boundary conformed tool path generation in milling of blade surfaces. With this method, The lirst segment of tool paths is along the top edge of the blade while the end one follows the intersection curve between the blade and the hub surface, those in,between cover the surface by \"morplhing\" smoothly from the start tool path to the end one, the two siides of the blade are machined together from top to bottom with boundary conformed flow line tool paths. This method has been successfully integrated into a commercial CAD/CAM system, ProlEngineer. Detailed algorithm and implementation processes have been introduced.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116513022","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 wavelet-transfonn-based binarization algorithm on dynamic threshold of vertical orientation of fingerprint","authors":"Jun Li, Huaiyu Wu, Kang-ling Fang, Lijuan Hu","doi":"10.1109/ICIMA.2004.1384322","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384322","url":null,"abstract":"Absfracf A wavelet transform based binarization algorithm on the dynamic threshold of vertical orientation of the input fingerprint is proposed firstly. The gray values of the pixels in the neighbourhood region are specially Considered, and a wavelet multi-resolution approximation @RA) is used to filter out the high Irequencyooise Secondly, a portable fiogerprint recognition system based on FPSZOO sensor is designed to realiie the algorithm. The experimental results show that the proposed algorithm can effectively reduce eliminate the noise from the fingerprint image and presents more reliable binarization image which is very beneficial to improvement the thinned images of fingerprint.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116232047","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 analog PLL using fuzzy inference circuit","authors":"K. Fujimoto, H. Sasaki, Yan Shi","doi":"10.1109/ICIMA.2004.1384213","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384213","url":null,"abstract":"In this paper, we propose a fuzzy phase-locked loop (PLL) in which a fuzzy inference circuit is used instead of a loop filter consisting of resistors and capacitors in an analog PLL. This circuit can be integrated in small chip size in the low frequency, and a performance similar to that of conventional PLLs is achieved.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121230290","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":"Hopping locomotion mechanism system","authors":"Y. Lu, Yuehua Wu, Jie Yang, H. Aoayama","doi":"10.1109/ICIMA.2004.1384208","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384208","url":null,"abstract":"A new type of locomotion mechanism is introduced in this paper. A vibrating motor was used to control the movement of the hopping locomotion mechanism. A spring was added to the mechanism to control the frequency, and with the syntonous hopping, the load of the mechanism was greatly increased. Some sensors could be added to this mechanism. Optical sensors were used to lead the mechanism to the special light.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478626","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 ascertainment of scale sampling step for numerical realization of the continuous wavelet transform","authors":"Yi-fei Pu, Xiao Yuan, Ke Liao, Ji-Liu Zhou","doi":"10.1109/ICIMA.2004.1384315","DOIUrl":"https://doi.org/10.1109/ICIMA.2004.1384315","url":null,"abstract":"One of the key discrete approach for the numerical realization of the continuous wavelet transform is to ascertain the ripple capability of corresponding numerical wavelet filter, which is the requirement and basic for wavelet analytic engineering achievement and research in theory. This article disserts the basic theory for the ascertainment of corresponding numerical wavelet filter's ripple capability for numerical realization of the continuous wavelet transforms. According to the highest numeric angle frequency of signal is or below π, in these two cases the article respectively deduces the corresponding numerical wavelet filter's ripple capability of Gauss function's each phases differential coefficient for even or odd symmetric mother wave in the numerical realization of the continuous wavelet transform when even dot-and-grid sampling is adopted. These useful conclusions solve a fundamental issue of wavelet analyses in engineering practice and research in theory.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114658514","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}