Pub Date : 1996-03-31DOI: 10.1109/SSST.1996.493467
Tung Ouyang, A. Nilsson
Analyzes the performance of an output-buffered asynchronous transfer mode service multiplexer (ATM-SMX) in the North Carolina Information Highway (NCIH). The ATM-SMX is modeled as a discrete-time finite-buffer single-server queueing system, where two types of traffic represent the inputs of the multiplexer: (1) nonreal-time loss-sensitive traffic; and (2) real-time loss-insensitive traffic. The authors assume that there are N identical type 1 sources each modeled as a Bernoulli process. The authors also assume that there is a single type 2 source modeled as a periodic batch arrival where the batch site follows a general distribution. All the slow-speed inputs of the ATM-SMX are multiplexed onto a single high-speed output link, and the service rate is constant. The authors adopt a scheduling policy which suits the characteristics of these two types of traffic. An exact analysis is developed to obtain the waiting time distributions and cell loss probabilities for both types of traffic.
{"title":"Performance analysis of an ATM service multiplexer in the NCIH","authors":"Tung Ouyang, A. Nilsson","doi":"10.1109/SSST.1996.493467","DOIUrl":"https://doi.org/10.1109/SSST.1996.493467","url":null,"abstract":"Analyzes the performance of an output-buffered asynchronous transfer mode service multiplexer (ATM-SMX) in the North Carolina Information Highway (NCIH). The ATM-SMX is modeled as a discrete-time finite-buffer single-server queueing system, where two types of traffic represent the inputs of the multiplexer: (1) nonreal-time loss-sensitive traffic; and (2) real-time loss-insensitive traffic. The authors assume that there are N identical type 1 sources each modeled as a Bernoulli process. The authors also assume that there is a single type 2 source modeled as a periodic batch arrival where the batch site follows a general distribution. All the slow-speed inputs of the ATM-SMX are multiplexed onto a single high-speed output link, and the service rate is constant. The authors adopt a scheduling policy which suits the characteristics of these two types of traffic. An exact analysis is developed to obtain the waiting time distributions and cell loss probabilities for both types of traffic.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133297221","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 : 1996-03-31DOI: 10.1109/SSST.1996.493543
Xiao Nong, Shouren Hu, Hongkui Gao
The paper introduces object-oriented large-grain data flow model and a parallelizing translator for the model. We design an efficient program partitioning algorithm based on objects for distributed system. Program restructuring according to the parallel model is automatically implemented by the translator.
{"title":"A parallelizing translator for object-oriented large-grain data flow model","authors":"Xiao Nong, Shouren Hu, Hongkui Gao","doi":"10.1109/SSST.1996.493543","DOIUrl":"https://doi.org/10.1109/SSST.1996.493543","url":null,"abstract":"The paper introduces object-oriented large-grain data flow model and a parallelizing translator for the model. We design an efficient program partitioning algorithm based on objects for distributed system. Program restructuring according to the parallel model is automatically implemented by the translator.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131995242","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 : 1996-03-31DOI: 10.1109/SSST.1996.493516
M. Zebina
This paper explains the implementation of a real time bi-target tracking using both acoustic and video data. We show how the cooperation of highly heterogeneous sensors may improve the overall efficiency. These data are filtered using Kalman filtering techniques. We send reconfiguration orders to the actuators for an optimal new data sampling. The observed scene raises some classical control problems like the partial observability conditions, the unpredictable behaviors for the different components of the world because of the limited a priori knowledge and the synchronisation of the data.
{"title":"Cooperation of acoustic and vision data for multitarget tracking","authors":"M. Zebina","doi":"10.1109/SSST.1996.493516","DOIUrl":"https://doi.org/10.1109/SSST.1996.493516","url":null,"abstract":"This paper explains the implementation of a real time bi-target tracking using both acoustic and video data. We show how the cooperation of highly heterogeneous sensors may improve the overall efficiency. These data are filtered using Kalman filtering techniques. We send reconfiguration orders to the actuators for an optimal new data sampling. The observed scene raises some classical control problems like the partial observability conditions, the unpredictable behaviors for the different components of the world because of the limited a priori knowledge and the synchronisation of the data.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134214766","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 : 1996-03-31DOI: 10.1109/SSST.1996.493530
M.R. Issa, E. Barbieri
The design of an optimal MIMO PI-lead controller is described for linear, time-invariant systems. The authors consider the linear quadratic regulator (LQR) design framework as a means of optimally selecting the gains of the controller. Therefore, the controller is designed by solving a steady state algebraic Riccati equation. The performance between the PID and optimal PI-lead controllers is illustrated and compared through an example. Simulations and implementations of the controllers are done using the MATLAB and SIMULINK software packages.
{"title":"Optimal PI-lead controller design","authors":"M.R. Issa, E. Barbieri","doi":"10.1109/SSST.1996.493530","DOIUrl":"https://doi.org/10.1109/SSST.1996.493530","url":null,"abstract":"The design of an optimal MIMO PI-lead controller is described for linear, time-invariant systems. The authors consider the linear quadratic regulator (LQR) design framework as a means of optimally selecting the gains of the controller. Therefore, the controller is designed by solving a steady state algebraic Riccati equation. The performance between the PID and optimal PI-lead controllers is illustrated and compared through an example. Simulations and implementations of the controllers are done using the MATLAB and SIMULINK software packages.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114734233","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 : 1996-03-31DOI: 10.1109/SSST.1996.493476
A. Azemi, E. Yaz
Extensions of a robust adaptive observer are presented for state reconstruction of nonlinear systems with uncertainty having unknown bounds. The observers use nonlinear gains which are continuously updated to guarantee a globally asymptotically convergent observation error. A generalization to known waveform type disturbances and measurement uncertainties is pointed out and an example is included for illustrative purposes.
{"title":"Nonlinear robust adaptive observers","authors":"A. Azemi, E. Yaz","doi":"10.1109/SSST.1996.493476","DOIUrl":"https://doi.org/10.1109/SSST.1996.493476","url":null,"abstract":"Extensions of a robust adaptive observer are presented for state reconstruction of nonlinear systems with uncertainty having unknown bounds. The observers use nonlinear gains which are continuously updated to guarantee a globally asymptotically convergent observation error. A generalization to known waveform type disturbances and measurement uncertainties is pointed out and an example is included for illustrative purposes.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122652476","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 : 1996-03-31DOI: 10.1109/SSST.1996.493500
S. Hsu
Properties of a reactive power compensator with a harmonic blocking feature that enables the author to reduce the waveform distortion caused by harmonic generating loads are discussed in this paper. The discussed compensator is built of a series filter tuned to the fundamental frequency and a shunt capacitor. Due to voltage resonance, the series filter does not increase the line impedance for the fundamental, but increases this impedance for higher harmonics. Because of this property, such a compensator is termed as a 'harmonic blocking compensator' (HBC) in the paper. The shunt capacitor provides the needed susceptance for reactive power compensation and a low impedance shunt path for current harmonics generated in the load. This paper discusses the design procedure and presents simulation results of the HBC.
{"title":"Reactive power compensator with harmonic blocking feature","authors":"S. Hsu","doi":"10.1109/SSST.1996.493500","DOIUrl":"https://doi.org/10.1109/SSST.1996.493500","url":null,"abstract":"Properties of a reactive power compensator with a harmonic blocking feature that enables the author to reduce the waveform distortion caused by harmonic generating loads are discussed in this paper. The discussed compensator is built of a series filter tuned to the fundamental frequency and a shunt capacitor. Due to voltage resonance, the series filter does not increase the line impedance for the fundamental, but increases this impedance for higher harmonics. Because of this property, such a compensator is termed as a 'harmonic blocking compensator' (HBC) in the paper. The shunt capacitor provides the needed susceptance for reactive power compensation and a low impedance shunt path for current harmonics generated in the load. This paper discusses the design procedure and presents simulation results of the HBC.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985785","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 : 1996-03-31DOI: 10.1109/SSST.1996.493553
O. Ismail, J. M. Jahabar
In this paper a method for structured linear uncertain system reduction is presented. The reduced model is obtained by retaining [/spl beta//sub 1//sup -/, /spl beta//sub 1//sup +/] and [/spl alpha//sub 1//sup -/, /spl alpha//sub 1//sup +/] (for the steady state of reduced model and original system be equal) along with [/spl beta//sub 1//sup -/, /spl beta//sub 1//sup +/] and [/spl alpha//sub 1//sup -/, /spl alpha//sub 1//sup +/] for (i=2, 3, ..., r-1) which are contributing most to impulse response energy [I/sub s//sup -/, I/sub s//sup +/]. A numerical example illustrates the procedure.
{"title":"Structured linear uncertain systems reduction","authors":"O. Ismail, J. M. Jahabar","doi":"10.1109/SSST.1996.493553","DOIUrl":"https://doi.org/10.1109/SSST.1996.493553","url":null,"abstract":"In this paper a method for structured linear uncertain system reduction is presented. The reduced model is obtained by retaining [/spl beta//sub 1//sup -/, /spl beta//sub 1//sup +/] and [/spl alpha//sub 1//sup -/, /spl alpha//sub 1//sup +/] (for the steady state of reduced model and original system be equal) along with [/spl beta//sub 1//sup -/, /spl beta//sub 1//sup +/] and [/spl alpha//sub 1//sup -/, /spl alpha//sub 1//sup +/] for (i=2, 3, ..., r-1) which are contributing most to impulse response energy [I/sub s//sup -/, I/sub s//sup +/]. A numerical example illustrates the procedure.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128708667","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 : 1996-03-31DOI: 10.1109/SSST.1996.493490
Mon-Chu Chen, Yu-Tung Liu
Recognizing multiple shape is one kind of human visual behavior. People usually recognize several distinct emergent subshapes from multiple shapes and give them different interpretations. This paper presents a symbolic/neural hybrid system to provide computers with this kind of ability. Through this approach, the recognition system is divided into three modules. Source images are sent to the first module, that is a neural network, of the hybrid system. The network is responsible for transforming the source image into abstract visual data, named pre-attention distribution and local feature information. Then, the abstract visual data are processed in the second module that is a symbolic subsystem. The subsystem is responsible for making decision in the visual search attention processes and for managing the features of the whole shape. Finally, another neural network takes the previous results from the symbolic subsystem and performs the final recognition.
{"title":"A symbolic/neural hybrid approach to multiple shape recognition","authors":"Mon-Chu Chen, Yu-Tung Liu","doi":"10.1109/SSST.1996.493490","DOIUrl":"https://doi.org/10.1109/SSST.1996.493490","url":null,"abstract":"Recognizing multiple shape is one kind of human visual behavior. People usually recognize several distinct emergent subshapes from multiple shapes and give them different interpretations. This paper presents a symbolic/neural hybrid system to provide computers with this kind of ability. Through this approach, the recognition system is divided into three modules. Source images are sent to the first module, that is a neural network, of the hybrid system. The network is responsible for transforming the source image into abstract visual data, named pre-attention distribution and local feature information. Then, the abstract visual data are processed in the second module that is a symbolic subsystem. The subsystem is responsible for making decision in the visual search attention processes and for managing the features of the whole shape. Finally, another neural network takes the previous results from the symbolic subsystem and performs the final recognition.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121285726","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 : 1996-03-31DOI: 10.1109/SSST.1996.493557
P. Bhattacharya
Industries desire that each newcomer comes up the learning curve much faster than the previous one. They can help make this difference by partnership with educational institutions and universities, and taking advantage of the power of diversity these can provide. Acceleration of innovative ideas and production requires state of the art technologies and closer collaboration between academician, government and the private sector. It requires all engineering disciplines work effectively and achieve excellence in "doing it right for the first time". The ability to reach these goals will determine the next generation of winners and losers. This paper describes the necessary steps to implement all cross-functional cooperation with schools and industries. Specific examples are used to point out educational program enhancement, to reduce research expenditure, unite a broad range of engineering disciplines, to manufacture cost effective reliable products and put them in the market on time.
{"title":"How will enhancement of research, infrastructure and quality of undergraduate programs affect industry expectations?","authors":"P. Bhattacharya","doi":"10.1109/SSST.1996.493557","DOIUrl":"https://doi.org/10.1109/SSST.1996.493557","url":null,"abstract":"Industries desire that each newcomer comes up the learning curve much faster than the previous one. They can help make this difference by partnership with educational institutions and universities, and taking advantage of the power of diversity these can provide. Acceleration of innovative ideas and production requires state of the art technologies and closer collaboration between academician, government and the private sector. It requires all engineering disciplines work effectively and achieve excellence in \"doing it right for the first time\". The ability to reach these goals will determine the next generation of winners and losers. This paper describes the necessary steps to implement all cross-functional cooperation with schools and industries. Specific examples are used to point out educational program enhancement, to reduce research expenditure, unite a broad range of engineering disciplines, to manufacture cost effective reliable products and put them in the market on time.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121170521","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 : 1996-03-31DOI: 10.1109/SSST.1996.493546
F. Simons, R. Harden, A.L. Robinson
In spite of the proliferation of signals and system texts, authors have tended to avoid adequate treatments of continuous singularity functions. Furthermore, the limited treatments of singularity functions are not only incomplete, they often include erroneous concepts. Thus, the authors attempt to provide some insight to the nature of singularity functions, present a generalized extension of singularity function definitions, and correct a serious error in several signal and system texts. All topics are designed to supplement signal and system text instructions.
{"title":"Continuous singularity functions insight, extensions, and corrections","authors":"F. Simons, R. Harden, A.L. Robinson","doi":"10.1109/SSST.1996.493546","DOIUrl":"https://doi.org/10.1109/SSST.1996.493546","url":null,"abstract":"In spite of the proliferation of signals and system texts, authors have tended to avoid adequate treatments of continuous singularity functions. Furthermore, the limited treatments of singularity functions are not only incomplete, they often include erroneous concepts. Thus, the authors attempt to provide some insight to the nature of singularity functions, present a generalized extension of singularity function definitions, and correct a serious error in several signal and system texts. All topics are designed to supplement signal and system text instructions.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130718769","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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