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IEEE 1991 International Conference on Systems Engineering最新文献

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Wheels identification using machine vision technology 车轮识别采用机器视觉技术
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161131
B. Shabestari, J.W.V. Miller, V. Wedding
{"title":"Wheels identification using machine vision technology","authors":"B. Shabestari, J.W.V. Miller, V. Wedding","doi":"10.1109/ICSYSE.1991.161131","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161131","url":null,"abstract":"An application of an online vision system using statistical pattern recognition algorithms for identifying various polycast wheels is described. The recognition is independent of part orientation and position in camera field of view. Simplicity, efficiency, low cost, and easy training for new designs are important criteria of the system. Software and algorithms to locate the wheel, exclude the windows of the wheel, and extract features which are used for classification are developed. The results indicate a constraint-free system with real-time recognition rate and considerable increase in recognition accuracy.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"82 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":"121441587","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}
引用次数: 3
On the hard contact adaptive force control of a manipulator 机械臂硬接触自适应力控制研究
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161090
Y. Zhou
{"title":"On the hard contact adaptive force control of a manipulator","authors":"Y. Zhou","doi":"10.1109/ICSYSE.1991.161090","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161090","url":null,"abstract":"A formulation of the force acting at the center-point of the end-effector of a manipulator based on a free-body diagram is described. With this formulation, the information about uncertainties at the contact point can be obtained by the force sensor. Therefore, the hard contact adaptive force control is formulated and solved by modifying the end-effector's trajectory and the acting proper force/torque in the joint space. A force control scheme to compensate for an external force and exert a desired force is presented.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"22 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":"124986392","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}
引用次数: 1
An improved iterative design for powers-of-two coefficient FIR filters 二阶幂系数FIR滤波器的改进迭代设计
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161156
A. Mahmood
{"title":"An improved iterative design for powers-of-two coefficient FIR filters","authors":"A. Mahmood","doi":"10.1109/ICSYSE.1991.161156","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161156","url":null,"abstract":"An iterative design technique for sum of powers-of-two (SOPOT) coefficient filters which uses two complementary filters in cascade is developed. These filters are designed to equalize each other's errors in the frequency domain, and thus when cascaded yield near-optimum frequency response. The technique is universal in the sense that it can be used to design filters in the minimax or the least-square-error sense. The initial SOPOT coefficients for the complementary filters are obtained by simple rounding to SOPOT values from an optimum real coefficient design. A localized search scheme is used to adjust the response of each of the filters such that the overall error from the ideal design is minimized. This process is repeated until convergence is reached. The cascaded complement design not only provides error equalization, but it also brings the SOPOT coefficients closer to optimum real values due to the convolution taking place between coefficients in the cascaded model.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"94 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":"121507169","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}
引用次数: 2
Optimal reduced-order observer-estimators 最优降阶观测器估计器
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161167
L. Hong
{"title":"Optimal reduced-order observer-estimators","authors":"L. Hong","doi":"10.1109/ICSYSE.1991.161167","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161167","url":null,"abstract":"An optimal reduced-order filter (in the sense of minimum error variance) which can provide a full vector of state estimates for systems where the dimension of the measurement vector is smaller than that of the state vector and no measurements are noise-free is presented. The optimal reduced-order filter is constructed using two-step L-K transformations for optimization. In step one, a K-transformation is utilized to construct an optimal-observer-type subfilter with order of n-m. An L-transformation is then used to build an optimal complementary subfilter with order m. The L and K matrices are determined to minimize the estimate error variances at each step. The order of the optimal reduced-order filter which combines two subfilters is max(n-m,m). When the dimension of the measurement vector is the same as that of state vector. the optimal reduced-order filter is then the Kalman filter (full order). Since two subfilters can be implemented by two processors in parallel, the proposed filter is computationally efficient.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"1 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":"131458331","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}
引用次数: 4
An overview of radar-based, automatic, noncooperative target recognition techniques 基于雷达的自动非合作目标识别技术综述
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161074
M. Cohen
{"title":"An overview of radar-based, automatic, noncooperative target recognition techniques","authors":"M. Cohen","doi":"10.1109/ICSYSE.1991.161074","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161074","url":null,"abstract":"Radar target recognition techniques tend to fall into two principle classes: those that exploit the radar characterization of a platform's physical shape and those that exploit the radar characterization of the dynamic characteristics of the moving parts of the target. The former are based on the platform's (essentially instantaneous) range (time)-amplitude radar signature and are exploited through generation and analysis of the platform's ultrahigh range resolution (UHRR) profile. The latter are based on the platform's frequency-amplitude radar signature as represented in the time evolution of its high-resolution Doppler signature. The methodologies applicable to automatic, noncooperative recognition of platforms based on both these classes of techniques are discussed. The choice and implications of radar parameters, signal processing techniques, and pattern recognition techniques are discussed, compared, and evaluated in terms of their impact on recognition system performance.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"69 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":"133514000","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}
引用次数: 19
Non-moving regions preserving median filters for image sequence filtering 图像序列滤波中保留非移动区域的中值滤波器
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161124
Tim 0 Viero, Yrjo Neuvo
{"title":"Non-moving regions preserving median filters for image sequence filtering","authors":"Tim 0 Viero, Yrjo Neuvo","doi":"10.1109/ICSYSE.1991.161124","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161124","url":null,"abstract":"Three-dimensional weighted median filters for noise reduction in gray-level image sequences are presented. The filters are designed to retain completely nonmoving regions in image sequences. In moving regions, 3-D filter structures adapt automatically to changes in image sequence content and perform a filtering operation in moving regions. Noise attenuation capability of the filters is studied. The performance of the filters in terms of detail preservation and noise reduction is examined using real image sequences.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"507 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":"134624445","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}
引用次数: 10
State estimation using adaptive linear combiner and multilayer neural network 基于自适应线性组合器和多层神经网络的状态估计
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161110
A. Kanekar, A. Feliachi
{"title":"State estimation using adaptive linear combiner and multilayer neural network","authors":"A. Kanekar, A. Feliachi","doi":"10.1109/ICSYSE.1991.161110","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161110","url":null,"abstract":"The state estimation problem using artificial neural networks is considered. Stochastic systems are analyzed. The neural networks used are the adaptive linear combiner (ALC) and a multilayer network. An approach to train the network based on several Kalman filter solutions whose average is used as the desired output is developed. The performance of the training algorithms gives state estimates when measurement are presented. Examples are given for cases of high and low signal-to-noise ratio to illustrate the proposed approach.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"7 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":"123311614","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}
引用次数: 0
Nonlinear filters for image sharpening and smoothing 用于图像锐化和平滑的非线性滤波器
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161123
S. Mitra, T.-H. Yu
{"title":"Nonlinear filters for image sharpening and smoothing","authors":"S. Mitra, T.-H. Yu","doi":"10.1109/ICSYSE.1991.161123","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161123","url":null,"abstract":"A general approach to the transform-magnitude-shaping-based image enhancement method is advanced. In the method, the magnitude of the input image transform is modified using a nonlinear mapping expressible as a power series, while its phase is kept invariant. The inverse transform of the modified image transform results in a sharpening or smoothing depending on the choice of the power series coefficients. Further improvement in the overall enhancement is achieved by a two-channel processing scheme which is implemented by applying different transform amplitude shaping methods to the low-frequency and high-frequency components. Examples the proposed enhancement method are included.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"12 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":"121598253","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}
引用次数: 7
Robot singularity rate control with phantom d.o.f. strategy 基于幻形dooff策略的机器人奇点速率控制
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161091
Y. Gutman, M. Lee, J. D'Costa
{"title":"Robot singularity rate control with phantom d.o.f. strategy","authors":"Y. Gutman, M. Lee, J. D'Costa","doi":"10.1109/ICSYSE.1991.161091","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161091","url":null,"abstract":"Singularity is an inherent problem and an important obstacle to be overcome in robotic kinematics. When it is near a singular configuration, a robot loses one or more degrees of freedom (d.o.f.), and joint velocities approach infinitely leading to control instability. A strategy for stabilizing robot rate control near or at a singularity (degenerate) configuration using phantom d.o.f. is proposed. The phantom d.o.f. is considered as part of a robot kinematic velocity model and is activated only when the joint velocity exceeds its limit or at singularity configurations. A numerical illustration of singularity control of a 5-d.o.f. robot is discussed.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"44 9 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":"126125804","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}
引用次数: 0
Estimation of colored plant noise using Kalman filter based deconvolution 基于反卷积卡尔曼滤波的有色植物噪声估计
IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI: 10.1109/ICSYSE.1991.161164
M.-H. Yoon, T. Ramabadran
{"title":"Estimation of colored plant noise using Kalman filter based deconvolution","authors":"M.-H. Yoon, T. Ramabadran","doi":"10.1109/ICSYSE.1991.161164","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161164","url":null,"abstract":"In many deconvolution problems, the signal to be estimated is modeled as the input to a known plant and assumed white. There are, however, situations in which this signal is not white. A simple iterative scheme for estimating colored sequences is presented. In this scheme, the colored plant noise is modeled as the output of a shaping filter excited by white noise. The shaping filter is considered as part of the plant while applying Mendel's minimum variance deconvolution (MVD) algorithm based on the Kalman filter to estimate the plant noise. To begin with, the shaping filter is just an identity filter. The estimated plant noise is then used to update its coefficients iteratively until the change in the coefficient values is small. The iterative scheme has been tested using simulated data under different conditions, and is found to perform quite well under certain situations.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"22 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":"126197823","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}
引用次数: 2
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