Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161111
Feng Shan
An artificial-intelligence (AI)-aided simulation system (AASS) embedded in a model-based decision support system IEDSS is reported. In technical content, the IEDSS stems from AASS, and is extended with AI components to create an expert-system-supported simulation environment and thus to raise the system capability to its full potential. A mathematical description of the decision making is presented. The integration of simulation model systems, decision analysis and expert systems for decision support in the system implementation is reviewed. The intent of the author is to provide insight as to how system capability and acceptability can be enhanced by this integration.<>
{"title":"An AI-aided simulation system AASS","authors":"Feng Shan","doi":"10.1109/ICSYSE.1991.161111","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161111","url":null,"abstract":"An artificial-intelligence (AI)-aided simulation system (AASS) embedded in a model-based decision support system IEDSS is reported. In technical content, the IEDSS stems from AASS, and is extended with AI components to create an expert-system-supported simulation environment and thus to raise the system capability to its full potential. A mathematical description of the decision making is presented. The integration of simulation model systems, decision analysis and expert systems for decision support in the system implementation is reviewed. The intent of the author is to provide insight as to how system capability and acceptability can be enhanced by this integration.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"23 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":"124825957","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161117
E. Teixeira, G. Jayaraman, G. Shue, P. Crago, K. Loparo, H. Chizeck
The authors consider the control of a class of nonlinear systems using feedback linearization methods, in which the control maps are learned using an artificial neural net. The class of systems investigated involves the multiplication of separate subsystems. The motivation for considering the real-time control of such systems is the fact that they represent the input-output properties of electrically stimulated muscle. Such systems must be controlled as part of neural prostheses that are designed to restore function to individuals who are paralyzed.<>
{"title":"Feedback control of nonlinear multiplicative systems using neural networks: an application to electrically stimulated muscle","authors":"E. Teixeira, G. Jayaraman, G. Shue, P. Crago, K. Loparo, H. Chizeck","doi":"10.1109/ICSYSE.1991.161117","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161117","url":null,"abstract":"The authors consider the control of a class of nonlinear systems using feedback linearization methods, in which the control maps are learned using an artificial neural net. The class of systems investigated involves the multiplication of separate subsystems. The motivation for considering the real-time control of such systems is the fact that they represent the input-output properties of electrically stimulated muscle. Such systems must be controlled as part of neural prostheses that are designed to restore function to individuals who are paralyzed.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"25 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":"134323203","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161159
Mike V. Chan, James A. Heinen, R. Niederjohn
A formula for the impulse response of a general piecewise-linear-digital filter is developed. A special case of this filter (the trapezoidal filter) produces linear phase FIR filters with good frequency response characteristics when windowed with Hanning (or even rectangular) windows. Bandpass filters designed using this technique result in filter banks with very flat composite frequency responses. In addition, it is found the FIR filters with arbitrary shapes may readily be designed by combining subfilters with trapezoidal shapes. The filter banks and arbitrary shape filters designed by this method have application in techniques used to enhance the intelligibility of noise-corrupted speech signals. The methods presented have considerable potential for the design of both individual filters and filter banks.<>
{"title":"A comparison of FIR filter bank design methods with applications to intelligibility enhancement of noise-corrupted speech signals","authors":"Mike V. Chan, James A. Heinen, R. Niederjohn","doi":"10.1109/ICSYSE.1991.161159","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161159","url":null,"abstract":"A formula for the impulse response of a general piecewise-linear-digital filter is developed. A special case of this filter (the trapezoidal filter) produces linear phase FIR filters with good frequency response characteristics when windowed with Hanning (or even rectangular) windows. Bandpass filters designed using this technique result in filter banks with very flat composite frequency responses. In addition, it is found the FIR filters with arbitrary shapes may readily be designed by combining subfilters with trapezoidal shapes. The filter banks and arbitrary shape filters designed by this method have application in techniques used to enhance the intelligibility of noise-corrupted speech signals. The methods presented have considerable potential for the design of both individual filters and filter banks.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","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":"126826604","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161170
G. Batta, A. Chen
A modular rotational vibration system designed to facilitate the study of active control of vibrating systems is discussed. The model error associated with four common types of identification problems has been studied. The general multiplicative uncertainty shape for a vibration system is small in low frequencies, large at high frequencies. The frequency-domain error function has sharp peaks near the frequency of each mode. The inability to identify a high-frequency mode causes an increase of uncertainties at all frequencies. Missing a low-frequency mode causes the uncertainties to be much larger at all frequencies than missing a high-frequency mode. Hysteresis causes a small increase of uncertainty at low frequencies, but its overall effect is relatively small.<>
{"title":"An experimental system for the study of active vibration control-development and modeling","authors":"G. Batta, A. Chen","doi":"10.1109/ICSYSE.1991.161170","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161170","url":null,"abstract":"A modular rotational vibration system designed to facilitate the study of active control of vibrating systems is discussed. The model error associated with four common types of identification problems has been studied. The general multiplicative uncertainty shape for a vibration system is small in low frequencies, large at high frequencies. The frequency-domain error function has sharp peaks near the frequency of each mode. The inability to identify a high-frequency mode causes an increase of uncertainties at all frequencies. Missing a low-frequency mode causes the uncertainties to be much larger at all frequencies than missing a high-frequency mode. Hysteresis causes a small increase of uncertainty at low frequencies, but its overall effect is relatively small.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"8 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":"124569823","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161135
J. Peterson, L. Pujara
How to partition an unstable polytope of polynomials into stable and unstable regions is addressed. L.R. Pujara and N. Shanghag have taken the first step by proposing a partition algorithm for unstable polygons of continuous polynomials. The present study begins with a discrete version of the segment lemma of H. Chapellat and S.P. Battacharyya (1989). Some necessary and sufficient conditions are proven for a polynomial vanishing at e* (where *=J omega /sub 0/), for some omega /sub 0/, in a polygon of discrete polynomials. These results lead directly to a method for partitioning polygons of discrete polynomials.<>
{"title":"Some robust stability theorems for polygons of discrete polynomials","authors":"J. Peterson, L. Pujara","doi":"10.1109/ICSYSE.1991.161135","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161135","url":null,"abstract":"How to partition an unstable polytope of polynomials into stable and unstable regions is addressed. L.R. Pujara and N. Shanghag have taken the first step by proposing a partition algorithm for unstable polygons of continuous polynomials. The present study begins with a discrete version of the segment lemma of H. Chapellat and S.P. Battacharyya (1989). Some necessary and sufficient conditions are proven for a polynomial vanishing at e* (where *=J omega /sub 0/), for some omega /sub 0/, in a polygon of discrete polynomials. These results lead directly to a method for partitioning polygons of discrete polynomials.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"4 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":"124344218","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161101
Q. Liu, J. Astola, Y. Neuvo
An improved adaptive Kronecker Ll filtering algorithm for estimating the optimal Kronecker lL filters under the mean square error criterion is derived. Besides suppressing impulsive noise, the adaptive Kronecker Ll filters preserve signal details, such as edges, more effectively than the traditional ones. Simulation results on image processing are provided to demonstrate the performance of the Kronecker Ll filters.<>
{"title":"An improved Kronecker Ll filtering algorithm","authors":"Q. Liu, J. Astola, Y. Neuvo","doi":"10.1109/ICSYSE.1991.161101","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161101","url":null,"abstract":"An improved adaptive Kronecker Ll filtering algorithm for estimating the optimal Kronecker lL filters under the mean square error criterion is derived. Besides suppressing impulsive noise, the adaptive Kronecker Ll filters preserve signal details, such as edges, more effectively than the traditional ones. Simulation results on image processing are provided to demonstrate the performance of the Kronecker Ll filters.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"106 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":"123693596","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161107
J. D. Johnson, T. A. Grogan
The selectively attentive environmental learning system (SAELS), that is capable of formulating decision policies while operating under terminally applied, minimally descriptive, reinforcement feedback is discussed. This type of reinforcement signals only that the generated policy is correct, or incorrect, and provides no information on the closeness of the generated policy to the correct policy. SAELS uses the drive-reinforcement neuronal model that, through the predictive qualities of its learning, is capable of solving the temporal credit assignment problem that arises under these reinforcement conditions. It is shown that SAELS can generate the necessary decision policy to maneuver through a multi-intersection maze.<>
{"title":"The selectively attentive environmental learning system","authors":"J. D. Johnson, T. A. Grogan","doi":"10.1109/ICSYSE.1991.161107","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161107","url":null,"abstract":"The selectively attentive environmental learning system (SAELS), that is capable of formulating decision policies while operating under terminally applied, minimally descriptive, reinforcement feedback is discussed. This type of reinforcement signals only that the generated policy is correct, or incorrect, and provides no information on the closeness of the generated policy to the correct policy. SAELS uses the drive-reinforcement neuronal model that, through the predictive qualities of its learning, is capable of solving the temporal credit assignment problem that arises under these reinforcement conditions. It is shown that SAELS can generate the necessary decision policy to maneuver through a multi-intersection maze.<<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":"130646317","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161129
Y. Shiu, C. Huang
The problem of finding the 3-D position and orientation of a circular cylinder using one view and known values of its radius and height is considered. Since a cylinder does not have uniquely matchable points or line features, traditional viewpoint recovery mathematics cannot be used. Instead, elliptical projection of the circular ends and straight-line projection of the cylinder sides can be used to calculate the cylinder position up to five degrees of freedom. It is shown that the viewpoint can be independently computed based on either the elliptical projection of the circular top or the straight-line projection of the cylinder sides.<>
{"title":"Pose determination of circular cylinders using elliptical and side projections","authors":"Y. Shiu, C. Huang","doi":"10.1109/ICSYSE.1991.161129","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161129","url":null,"abstract":"The problem of finding the 3-D position and orientation of a circular cylinder using one view and known values of its radius and height is considered. Since a cylinder does not have uniquely matchable points or line features, traditional viewpoint recovery mathematics cannot be used. Instead, elliptical projection of the circular ends and straight-line projection of the cylinder sides can be used to calculate the cylinder position up to five degrees of freedom. It is shown that the viewpoint can be independently computed based on either the elliptical projection of the circular top or the straight-line projection of the cylinder sides.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"200 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":"115476741","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161125
V. Ramamoorthy
A computationally simple algorithm to enhance the visual quality of coarsely quantized video sequences is presented. This algorithm uses nonlinear filters to smooth discontinuous edges and granular noise associated with the quantization process. The nonlinear order statistics filtering approach does not attempt to preserve the edges, but to fill in and smooth the edge discontinuities. With a minor modification, these filters also function as controllable low-pass filters. The structure of these filters is suitable for cost-effective VLSI implementation. Simulation experiments show the efficiency of the enhancement algorithm.<>
{"title":"Adaptive nonlinear enhancement of coarsely quantized video sequences","authors":"V. Ramamoorthy","doi":"10.1109/ICSYSE.1991.161125","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161125","url":null,"abstract":"A computationally simple algorithm to enhance the visual quality of coarsely quantized video sequences is presented. This algorithm uses nonlinear filters to smooth discontinuous edges and granular noise associated with the quantization process. The nonlinear order statistics filtering approach does not attempt to preserve the edges, but to fill in and smooth the edge discontinuities. With a minor modification, these filters also function as controllable low-pass filters. The structure of these filters is suitable for cost-effective VLSI implementation. Simulation experiments show the efficiency of the enhancement algorithm.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"146 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":"125862537","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161150
K. G. Kirby
Inductive inference is the process of inferring a description of a function from a finite subset of its graph. Connectionist inductive inference typically involves gradient descent algorithms in weight space. When inferring functions of unbounded sequences such algorithms run on recurrent nets and become computationally expensive. A broader framework for inductive inference is presented, and it is shown that such problems admit a dual approach, which can be phrased in terms of the simulation-as-homomorphism perspective in systems theory. Whereas the usual approach adapts the dynamics of the net to match the dynamics of the target system, the dual approach keeps the dynamics fixed and learns a homomorphism from the net to the target. The latter technique is promising because of its efficiency and its direct applicability to learning by continuous nonconnectionist system, such as neural fields.<>
{"title":"Duality in neurocomputational inductive inference: a simulationist perspective","authors":"K. G. Kirby","doi":"10.1109/ICSYSE.1991.161150","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161150","url":null,"abstract":"Inductive inference is the process of inferring a description of a function from a finite subset of its graph. Connectionist inductive inference typically involves gradient descent algorithms in weight space. When inferring functions of unbounded sequences such algorithms run on recurrent nets and become computationally expensive. A broader framework for inductive inference is presented, and it is shown that such problems admit a dual approach, which can be phrased in terms of the simulation-as-homomorphism perspective in systems theory. Whereas the usual approach adapts the dynamics of the net to match the dynamics of the target system, the dual approach keeps the dynamics fixed and learns a homomorphism from the net to the target. The latter technique is promising because of its efficiency and its direct applicability to learning by continuous nonconnectionist system, such as neural fields.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"5 1‐2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133111063","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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