Pipelined MPSoCs provide a high throughput implementation platform for multimedia applications, with reduced design time and improved flexibility. Typically a pipelined MPSoC is balanced at design-time using worst-cas...
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ISBN:
(纸本)9781450306362
Pipelined MPSoCs provide a high throughput implementation platform for multimedia applications, with reduced design time and improved flexibility. Typically a pipelined MPSoC is balanced at design-time using worst-case parameters. Where there is a widely varying workload, such designs consume exorbitant amount of power. In this paper, we propose a novel adaptive pipelined MPSoC architecture that adapts itself to varying workloads. Our architecture consists of Main Processors and Auxiliary Processors with a distributed run-time balancing approach, where each Main Processor, independent of other Main Processors, decides for itself the number of required Auxiliary Processors at run-time depending on its varying workload. The proposed run-time balancing approach is based on off-line statistical information along with workload prediction and run-time monitoring of current and previous workloads' execution times. We exploited the adaptability of our architecture through a case study on an H.264 video encoder supporting HD720p at 30 fps, where clock- and power-gating were used to deactivate idle Auxiliary Processors during low workload periods. The results show that an adaptive pipelined MPSoC provides energy savings of up to 34% and 40% for clock- and power-gating based deactivation of Auxiliary Processors respectively with a minimum throughput of 29 fps when compared to a design-time balanced pipelined MPSoC.
Operator training without a process model is necessary in certain plant manufacturing industry's applications because the process models from the control theory perspective are still not available. This paper desc...
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Operator training without a process model is necessary in certain plant manufacturing industry's applications because the process models from the control theory perspective are still not available. This paper describes an experiment that analyzed the benefits of 3D data visualization integrated in HMI for process control in combination with different types of operator training to obtain process knowledge. The benefits of interactive 3D slider training in identifying errors during operation could be proven.
作者：
Yi-Sheng HuangSheng-Luen ChungMu-Der JengDepartment of Aeronautical Engineering
Chung Cheng Institute of Technology National Defense University Tashi Taoyuan 335 Taiwan R.O.C. Department of Electrical Engineering
National Taiwan University of Science and Technology Taipei 106 Taiwan R.O.C. Department of Electrical Engineering
National Taiwan Ocean University Kellung 202 Taiwan R.O.C. MuDer Jeng received the Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute
Troy NY in 1992. Since August 1992 Dr. Jeng has been with National Taiwan Ocean University Keelung Taiwan where he is currently a full Professor at the Department of Electrical Engineering. His current research interests include Petri nets discrete event systems computer integrated manufacturing semiconductor factory automation embedded systems. Dr. Jeng is the author/co-author of over 120 book chapters journal papers and conference papers. Dr. Jeng received the Franklin V. Taylor Outstanding Paper Award from the IEEE Systems Man and Cybernetics Society in 1993. He was granted the Research Award by the National Science Council of Taiwan annually from 1994 to 2000. He is an Associate Editor for IEEE Transactions on Systems Man and Cybernetics-Part A IEEE Transactions on Robotics and Automation IEEE Transactions on Robotics and serves on the Editorial Board of International Journal of Computer Integrated Manufacturing. He has been a Guest Editor for eight leading journals. Dr. Jeng is the Chair of the Technical Committee on Discrete Event Systems of the IEEE SMC Society and the Founding Chair of the Technical Committee on Semiconductor Factory Automation of the IEEE Robotics and Automation Society. He served as the Exhibitions Chair of 2003 IEEE International Conference on Robotics and Automation and the Special Sessions Chair of 2004 IEEE International Conference on Networking Sensing and Control. He serves as a Program Co-Chair of 2005 IEEE International Conference on Networking Sensing and Control and the Organization Commit
Statechart has been utilized as a visual formalism for the modeling of complex and interactive systems for its illuminating features on describing properties of causality, concurrency, and synchronization. This paper ...
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Statechart has been utilized as a visual formalism for the modeling of complex and interactive systems for its illuminating features on describing properties of causality, concurrency, and synchronization. This paper presents the application of satechart to the modeling, design and implementation of an elevator system, whose system behavior involves aggregating complexity of state descriptions, and imposition of underlying control policy. Based on the operational flow of an elevator, we derive the associated statechart model by looking into the inherent hierarchical structure of the elevator. The advantage of the proposed approach is the clear presentation of system behavior in terms of conditions and events that cause the transitions in system dynamics. Implementation of the controlled elevator based on the modeled statechart is also presented.
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