Pub Date : 2004-09-27DOI: 10.1109/SSST.2004.1295694
M. G. Rashed, C. Madubata
This paper presents the design of a 40 Gbps BiCMOS transimpedance amplifier for use as the front-end preamplifier stage of an optical communication receiver system. The design is modeled using Pspice. Stability is achieved using a shunt-shunt feedback circuit. This feedback circuit is also used to improve the bandwidth of the amplifier. A shunt inductor peaking technique is used to further extend the bandwidth. Analytical expressions were developed for the transfer functions of the input stage, output stage and the overall amplifier. Frequency response curves were obtained for each stage using MATLAB. The performance of the designed amplifier was analyzed and evaluated with respect to gain, bandwidth and noise using developed analytical models and Pspice simulation results. This amplifier is stable, provides good gain and should be suitable for OC-768 SONET applications.
{"title":"Design, simulation and performance analysis of a 40 Gbps transimpedance amplifier for optical fiber links","authors":"M. G. Rashed, C. Madubata","doi":"10.1109/SSST.2004.1295694","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295694","url":null,"abstract":"This paper presents the design of a 40 Gbps BiCMOS transimpedance amplifier for use as the front-end preamplifier stage of an optical communication receiver system. The design is modeled using Pspice. Stability is achieved using a shunt-shunt feedback circuit. This feedback circuit is also used to improve the bandwidth of the amplifier. A shunt inductor peaking technique is used to further extend the bandwidth. Analytical expressions were developed for the transfer functions of the input stage, output stage and the overall amplifier. Frequency response curves were obtained for each stage using MATLAB. The performance of the designed amplifier was analyzed and evaluated with respect to gain, bandwidth and noise using developed analytical models and Pspice simulation results. This amplifier is stable, provides good gain and should be suitable for OC-768 SONET applications.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115092816","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295719
A.R. Sakehare, A. Davari, A. Feliachi
Fuel cells are very promising sources of electricity; environmentally safe and very efficient. The fuel cells have numerous applications: houses, industries, hospitals, vehicles etc. Another facet of these fuel cell applications is distributed generation, the implementation of various power generating resources, near the site of need, for reducing reliance on grid power. Fuel cells generate electricity from hydrogen by a chemical process. In this paper a solid oxide fuel cell mathematical model is adopted. The solid oxide fuel cells are very efficient and the technology is most suited to applications in the distributed generation. The main aim of the paper is to achieve the control of the fuel cell for stand-alone and grid connection. To achieve a grid interface and stand-alone working by designing suitable power conditioning units. The power conditioning unit is needed for the processing of the raw power output of the fuel cell in order to make it usable. The power conditioning unit might consist of only a DC/DC converter or the two stages of a DC/DC converter and a DC/AC inverter. For the stand-alone part the concentration is on the controlled DC power thus, only a boost converter (DC/DC) stage is used. For the grid interface of the solid oxide fuel cell controlled AC power is needed at the interface point, thus, both stages; boost converter as well as the inverter (DC/AC) are needed. A power conditioning unit is designed for this solid oxide fuel cell and for fuel cells in general. The fuzzy logic control strategy is used for designing the controllers.
{"title":"Control of solid oxide fuel cell for stand-alone and grid connection using fuzzy logic technique","authors":"A.R. Sakehare, A. Davari, A. Feliachi","doi":"10.1109/SSST.2004.1295719","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295719","url":null,"abstract":"Fuel cells are very promising sources of electricity; environmentally safe and very efficient. The fuel cells have numerous applications: houses, industries, hospitals, vehicles etc. Another facet of these fuel cell applications is distributed generation, the implementation of various power generating resources, near the site of need, for reducing reliance on grid power. Fuel cells generate electricity from hydrogen by a chemical process. In this paper a solid oxide fuel cell mathematical model is adopted. The solid oxide fuel cells are very efficient and the technology is most suited to applications in the distributed generation. The main aim of the paper is to achieve the control of the fuel cell for stand-alone and grid connection. To achieve a grid interface and stand-alone working by designing suitable power conditioning units. The power conditioning unit is needed for the processing of the raw power output of the fuel cell in order to make it usable. The power conditioning unit might consist of only a DC/DC converter or the two stages of a DC/DC converter and a DC/AC inverter. For the stand-alone part the concentration is on the controlled DC power thus, only a boost converter (DC/DC) stage is used. For the grid interface of the solid oxide fuel cell controlled AC power is needed at the interface point, thus, both stages; boost converter as well as the inverter (DC/AC) are needed. A power conditioning unit is designed for this solid oxide fuel cell and for fuel cells in general. The fuzzy logic control strategy is used for designing the controllers.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124471445","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295700
H. Pullela, P. Rajan
An algorithm is developed to separate signals mixed with piecewise constant matrices. Independent component analysis technique is employed to separate the signals. Algorithms are presented to identify the lengths of the segments and remove order, scaling and sign ambiguities present in the independent component analysis of consecutive segments.
{"title":"Blind separation of signals from piece-wise constant gain mixtures using independent component analysis","authors":"H. Pullela, P. Rajan","doi":"10.1109/SSST.2004.1295700","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295700","url":null,"abstract":"An algorithm is developed to separate signals mixed with piecewise constant matrices. Independent component analysis technique is employed to separate the signals. Algorithms are presented to identify the lengths of the segments and remove order, scaling and sign ambiguities present in the independent component analysis of consecutive segments.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123398898","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295623
R. Amirifar, N. Sadati
This paper considers the problem of stabilizing a class of linear time-invariant large-scale systems composed of a number of subsystems using several local dynamic output feedback controllers. For this problem, a sufficient condition on each closed-loop individual subsystem is derived under which the decentralized controller composed of the local controllers designed for individual subsystems, achieves stability for the overall system. This condition is used to convert the decentralized stabilization problem to a set of the H/sub /spl infin// disturbance rejection subproblems.
{"title":"H/sub /spl infin// formulation of decentralized stabilization problem","authors":"R. Amirifar, N. Sadati","doi":"10.1109/SSST.2004.1295623","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295623","url":null,"abstract":"This paper considers the problem of stabilizing a class of linear time-invariant large-scale systems composed of a number of subsystems using several local dynamic output feedback controllers. For this problem, a sufficient condition on each closed-loop individual subsystem is derived under which the decentralized controller composed of the local controllers designed for individual subsystems, achieves stability for the overall system. This condition is used to convert the decentralized stabilization problem to a set of the H/sub /spl infin// disturbance rejection subproblems.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123643970","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295666
J. Grob, J. Waters, J. Piepmeier
Vision-based water wave sensing is a technique that can be used to create a pro-active ride control system for high-speed marine vessels. This project researches creating a vision-based wave sensing approach that will be able to determine pertinent wave characteristics, such as slope, height, and frequency. The main initial goal of this project is to develop a system that can acquire an image of a wave surface and accurately measure its characteristics. System equipment includes a stereo vision system from Pt. Grey Research. The stereo vision system is capable of producing point cloud images. MATLAB will be used to analyze the recorded data and compute critical information, such as local maximums and minimums, for examining wave characteristics. The goal of this project is to eventually study and characterize regular and irregular waves with the vision-based system. The tests of regular and irregular waves determines the ultimate precision and accuracy of the camera, which allows and further the goal of a vision-based proactive system for a high-speed vessel.
{"title":"Vision-based wave sensing for high speed vessels","authors":"J. Grob, J. Waters, J. Piepmeier","doi":"10.1109/SSST.2004.1295666","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295666","url":null,"abstract":"Vision-based water wave sensing is a technique that can be used to create a pro-active ride control system for high-speed marine vessels. This project researches creating a vision-based wave sensing approach that will be able to determine pertinent wave characteristics, such as slope, height, and frequency. The main initial goal of this project is to develop a system that can acquire an image of a wave surface and accurately measure its characteristics. System equipment includes a stereo vision system from Pt. Grey Research. The stereo vision system is capable of producing point cloud images. MATLAB will be used to analyze the recorded data and compute critical information, such as local maximums and minimums, for examining wave characteristics. The goal of this project is to eventually study and characterize regular and irregular waves with the vision-based system. The tests of regular and irregular waves determines the ultimate precision and accuracy of the camera, which allows and further the goal of a vision-based proactive system for a high-speed vessel.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126889733","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295717
V.V. Kantubhukta, M. Abdelrahman
Coal-fired power plants are highly complex nonlinear systems. Several performance-monitoring techniques based on linearization and empirical estimations have been developed. However, there is a need for nonlinear modeling for the power plant performance analysis in order to meet the growing demands of economic and operational requirements. In the present research neural networks are used to model the thermodynamic process of a coal-fired power plant, based on actual plant data and simulated data obtained from mathematical models that provide information that is currently not directly available. A sensitivity analysis study is performed to determine the effect of various plant variables on an essential performance parameter, namely, coal flow rate. The safe operation of a coal-fired power plant also requires correct operation of plant instrumentation. Failed instruments provide inaccurate information on the state of a process, which can lead to undesirable or inefficient operation of the power plant. Artificial neural networks are used to develop the analytical redundancy to infer the state of important plant parameters. A sensitivity analysis study is performed to determine the critical parameters influencing the estimated plant parameters.
{"title":"A feasibility study on using neural networks in performance analysis of coal-fired power plants","authors":"V.V. Kantubhukta, M. Abdelrahman","doi":"10.1109/SSST.2004.1295717","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295717","url":null,"abstract":"Coal-fired power plants are highly complex nonlinear systems. Several performance-monitoring techniques based on linearization and empirical estimations have been developed. However, there is a need for nonlinear modeling for the power plant performance analysis in order to meet the growing demands of economic and operational requirements. In the present research neural networks are used to model the thermodynamic process of a coal-fired power plant, based on actual plant data and simulated data obtained from mathematical models that provide information that is currently not directly available. A sensitivity analysis study is performed to determine the effect of various plant variables on an essential performance parameter, namely, coal flow rate. The safe operation of a coal-fired power plant also requires correct operation of plant instrumentation. Failed instruments provide inaccurate information on the state of a process, which can lead to undesirable or inefficient operation of the power plant. Artificial neural networks are used to develop the analytical redundancy to infer the state of important plant parameters. A sensitivity analysis study is performed to determine the critical parameters influencing the estimated plant parameters.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126913273","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295661
M. Shukla, M. Abdelrahman
The focus of this paper is to present an artificial neural network based methodology to assess the steady state security of a power system. The security of the system is assessed on the basis of the voltage profile at each bus with reference to changes in generation and load in the system. The input to the neural network is the voltage level at each bus. The ANN used is a feedforward multilayer network trained with a backpropagation algorithm. The output of the ANN classifies the security of the power system into normal, alert and emergency states. An IEEE 14-bus system is considered to demonstrate the results of the methodology.
{"title":"Artificial neural networks based steady state security analysis of power systems","authors":"M. Shukla, M. Abdelrahman","doi":"10.1109/SSST.2004.1295661","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295661","url":null,"abstract":"The focus of this paper is to present an artificial neural network based methodology to assess the steady state security of a power system. The security of the system is assessed on the basis of the voltage profile at each bus with reference to changes in generation and load in the system. The input to the neural network is the voltage level at each bus. The ANN used is a feedforward multilayer network trained with a backpropagation algorithm. The output of the ANN classifies the security of the power system into normal, alert and emergency states. An IEEE 14-bus system is considered to demonstrate the results of the methodology.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127223174","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295639
A. Parks, J. Gray
To take advantage of recent and future advances in communications and information processing technology, military systems of the 21st century will create systems that enable the elements to operate as nodes in a geographically distributed information collection and processing network. Each network node is immersed in its local information environment. If a node is isolated from the rest of the system, then its perception of - as well as its response to the system's information environment is strictly local and based only upon data provided by its local sensor observations. However, completely autonomous responses to such locally determined perceptions can be undesirable from certain global network level perspectives. Fratricide, multiple engagements by weapons platforms and saturation of sensor resources by soft-kill weapons usage are all examples of unintended consequences of ignoring the global picture. In those cases where the exercise of some degree of coordination between individual platform elements is required for global coordination, it is necessary to have available for use by the system's decision functions sufficiently representative perceptions of pertinent aspects of the system's universal information environment. Such a network of perceptions must necessarily be synthesized using the mixture of measurements gathered from the local information environments of individual platform sensors. A method for quantifying the quality of perceptions has been developed. This method enables one to study several important system level problems from a perception quality perspective.
{"title":"Analyzing the quality of a system's perception of its information environment with special application to distributed military systems","authors":"A. Parks, J. Gray","doi":"10.1109/SSST.2004.1295639","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295639","url":null,"abstract":"To take advantage of recent and future advances in communications and information processing technology, military systems of the 21st century will create systems that enable the elements to operate as nodes in a geographically distributed information collection and processing network. Each network node is immersed in its local information environment. If a node is isolated from the rest of the system, then its perception of - as well as its response to the system's information environment is strictly local and based only upon data provided by its local sensor observations. However, completely autonomous responses to such locally determined perceptions can be undesirable from certain global network level perspectives. Fratricide, multiple engagements by weapons platforms and saturation of sensor resources by soft-kill weapons usage are all examples of unintended consequences of ignoring the global picture. In those cases where the exercise of some degree of coordination between individual platform elements is required for global coordination, it is necessary to have available for use by the system's decision functions sufficiently representative perceptions of pertinent aspects of the system's universal information environment. Such a network of perceptions must necessarily be synthesized using the mixture of measurements gathered from the local information environments of individual platform sensors. A method for quantifying the quality of perceptions has been developed. This method enables one to study several important system level problems from a perception quality perspective.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127415194","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295667
Y. C. Tan, B. Bishop
This paper involves the synthesis of a swarm controller that is suitable for coordinating movements of a group of autonomous robotic vehicles performing underwater mine countermeasures (UMCM). The main objective of this research is to combine behavior-based robot control methods with systems-theoretic swarm control techniques to achieve a hybrid that has the best characteristics of both. Behavior-based robotic theories are combined with statistical methods to give rise to a robust form of control for robots performing UMCM. This highly reactive and responsive system demonstrates an elegant solution for UMCM through simulation and experiments.
{"title":"Evaluation of robot swarm control methods for underwater mine countermeasures","authors":"Y. C. Tan, B. Bishop","doi":"10.1109/SSST.2004.1295667","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295667","url":null,"abstract":"This paper involves the synthesis of a swarm controller that is suitable for coordinating movements of a group of autonomous robotic vehicles performing underwater mine countermeasures (UMCM). The main objective of this research is to combine behavior-based robot control methods with systems-theoretic swarm control techniques to achieve a hybrid that has the best characteristics of both. Behavior-based robotic theories are combined with statistical methods to give rise to a robust form of control for robots performing UMCM. This highly reactive and responsive system demonstrates an elegant solution for UMCM through simulation and experiments.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127428074","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 : 2004-09-27DOI: 10.1109/SSST.2004.1295696
T. A. Shirey, R. Roberts
Motion control of robot manipulators is typically accomplished by sensing and regulating the positions of the joint actuators to cause the end-effector to follow a programmed trajectory. Unfortunately, position control schemes usually fail for tasks that require significant physical interaction between the robot and a workpiece. This restriction severely limits the scope of work that robots are able to do. A solution to this problem is to incorporate some form of compliance into the manipulator to compensate for positioning errors. Researchers have been focused on two principal methods of achieving manipulator compliance - passive mechanism synthesis and active force control - both of which have advantages and disadvantages. In this paper, the authors present recent advances in passive mechanism synthesis algorithms, and investigate the utility of combining a simple, passive mechanism with an active force control scheme to obtain a compliant manipulator with desirable characteristics for interaction control.
{"title":"Hybrid active/passive interaction control for robot manipulators","authors":"T. A. Shirey, R. Roberts","doi":"10.1109/SSST.2004.1295696","DOIUrl":"https://doi.org/10.1109/SSST.2004.1295696","url":null,"abstract":"Motion control of robot manipulators is typically accomplished by sensing and regulating the positions of the joint actuators to cause the end-effector to follow a programmed trajectory. Unfortunately, position control schemes usually fail for tasks that require significant physical interaction between the robot and a workpiece. This restriction severely limits the scope of work that robots are able to do. A solution to this problem is to incorporate some form of compliance into the manipulator to compensate for positioning errors. Researchers have been focused on two principal methods of achieving manipulator compliance - passive mechanism synthesis and active force control - both of which have advantages and disadvantages. In this paper, the authors present recent advances in passive mechanism synthesis algorithms, and investigate the utility of combining a simple, passive mechanism with an active force control scheme to obtain a compliant manipulator with desirable characteristics for interaction control.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132893898","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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