The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform

S. Kumagai - One of the best experts on this subject based on the ideXlab platform.

  • A Modeling method of a rule based control System with hierarchical Petri net
    2005 IEEE International Symposium on Circuits and Systems, 2005
    Co-Authors: M. Sakamoto, T. Miyamoto, S. Kumagai
    Abstract:

    Usually, control of a large-scale real time System is performed by a combination of simple control rules (rulebase). With growing control rule-bases, new problems such as consistency among rules, and behavior of a physical System under the control, arise. For this reason, checking techniques for such problems are required. In this paper, we assume that a multi agent net, which is a hierarchical extended Petri net (T. Murata, Proc. IEEE, vol. 77, no. 4, pp. 541-580, 1989), Model for physical System is given, and we propose a Modeling technique for an Integrated System Model of control rule-bases and physical Systems for verification.

  • ISCAS (1) - A Modeling method of a rule based control System with hierarchical Petri net
    2005 IEEE International Symposium on Circuits and Systems, 2005
    Co-Authors: M. Sakamoto, T. Miyamoto, S. Kumagai
    Abstract:

    Usually, control of a large-scale real time System is performed by a combination of simple control rules (rulebase). With growing control rule-bases, new problems such as consistency among rules, and behavior of a physical System under the control, arise. For this reason, checking techniques for such problems are required. In this paper, we assume that a multi agent net, which is a hierarchical extended Petri net (T. Murata, Proc. IEEE, vol. 77, no. 4, pp. 541-580, 1989), Model for physical System is given, and we propose a Modeling technique for an Integrated System Model of control rule-bases and physical Systems for verification.

Hyo-derk Park - One of the best experts on this subject based on the ideXlab platform.

  • A Cooperative Metabolic Syndrome Estimation With High Precision Sensing Unit
    IEEE Transactions on Biomedical Engineering, 2011
    Co-Authors: Chan-hyun Youn, Eun Bo Shim, Yeon Shik Choi, Hyuck Ki Hong, Hyo-derk Park
    Abstract:

    In this letter, we discuss a sensor-Integrated System Model for metabolic syndrome prediction with workflow System. This Model measures not only a cell temperature variation using invasive method but also controlling simulation for metabolic syndrome prediction. To identify the System realization, we discuss the schemes for predicting metabolic syndrome from measurement of mitochondrial activity by using high precision sensors and Integrated simulation Model of human energetic under high performance workflow computing environment. To predict metabolic syndrome, we built a sensor-Integrated chamber that had network interface to deliver analysis results of human cells, annotation data from public hospital, and metabolic data. Using the proposed System, we showed the possibility to evaluate the functionality of human mitochondria and analyze energy metabolism.

  • Kepler-based collaborative workflow System for metabolic syndrome estimation
    TENCON 2010 - 2010 IEEE Region 10 Conference, 2010
    Co-Authors: Chan-hyun Youn, Eun Bo Shim, Yeon Shik Choi, Hyo-derk Park, Hak Chul Jang
    Abstract:

    In this paper, we discuss nano sensor-Integrated System Model for metabolic syndrome estimation with workflow management System. We also represent function modules which can measure the heat metabolism in cell level and analyze it to distinguish condition of cell and human System. As for the evaluation of proposed System, we composed prototype workflows that automate each step of metabolism estimation simulation experiment processes with Kepler Extension Model that is useful for distributed collaborative simulation. Through the experimental results, we conclude that the proposed System enhanced distributed workflow execution performance according to the cell metabolism simulation Model.

M. Sakamoto - One of the best experts on this subject based on the ideXlab platform.

  • A Modeling method of a rule based control System with hierarchical Petri net
    2005 IEEE International Symposium on Circuits and Systems, 2005
    Co-Authors: M. Sakamoto, T. Miyamoto, S. Kumagai
    Abstract:

    Usually, control of a large-scale real time System is performed by a combination of simple control rules (rulebase). With growing control rule-bases, new problems such as consistency among rules, and behavior of a physical System under the control, arise. For this reason, checking techniques for such problems are required. In this paper, we assume that a multi agent net, which is a hierarchical extended Petri net (T. Murata, Proc. IEEE, vol. 77, no. 4, pp. 541-580, 1989), Model for physical System is given, and we propose a Modeling technique for an Integrated System Model of control rule-bases and physical Systems for verification.

  • ISCAS (1) - A Modeling method of a rule based control System with hierarchical Petri net
    2005 IEEE International Symposium on Circuits and Systems, 2005
    Co-Authors: M. Sakamoto, T. Miyamoto, S. Kumagai
    Abstract:

    Usually, control of a large-scale real time System is performed by a combination of simple control rules (rulebase). With growing control rule-bases, new problems such as consistency among rules, and behavior of a physical System under the control, arise. For this reason, checking techniques for such problems are required. In this paper, we assume that a multi agent net, which is a hierarchical extended Petri net (T. Murata, Proc. IEEE, vol. 77, no. 4, pp. 541-580, 1989), Model for physical System is given, and we propose a Modeling technique for an Integrated System Model of control rule-bases and physical Systems for verification.

Venkata Dinavahi - One of the best experts on this subject based on the ideXlab platform.

  • Faster-Than-Real-Time Dynamic Simulation of AC/DC Grids on Reconfigurable Hardware
    IEEE Transactions on Power Systems, 2020
    Co-Authors: Venkata Dinavahi
    Abstract:

    Dynamic simulation of Integrated AC and DC grids is paramount to address real-time operation challenges in energy control centers, such as available transfer capacities, relieving grid congestion, and taking effective control actions for improving the Integrated grid System stability and reliability. This paper proposes a faster-than-real-time (FTRT) dynamic simulation of Integrated AC/DC grids on the reconfigurable parallel hardware architecture of the field programmable gate array (FPGA). A fine-grained relaxation algorithm (FGRA) is proposed for a more efficient solution of the nonlinear differential algebraic equations of the Integrated System Model, including the detailed nonlinear Models of the synchronous generators in the AC System which can be solved in parallel without matrix on the FPGA. The System solution is massively parallelized and pipelined in hardware to realize the lowest latencies and minimum utilization of hardware resource. Two case studies are used to illustrate the efficacy of the proposed algorithm and demonstrated a closed-loop prediction scenario for improving grid stability. Computational acceleration of up to 134 times faster than real-time are reported for the two case studies, and the accuracy of the dynamic interaction is validated using the off-line transient stability simulation tool TSAT of the DSATools package.

Chan-hyun Youn - One of the best experts on this subject based on the ideXlab platform.

  • A Cooperative Metabolic Syndrome Estimation With High Precision Sensing Unit
    IEEE Transactions on Biomedical Engineering, 2011
    Co-Authors: Chan-hyun Youn, Eun Bo Shim, Yeon Shik Choi, Hyuck Ki Hong, Hyo-derk Park
    Abstract:

    In this letter, we discuss a sensor-Integrated System Model for metabolic syndrome prediction with workflow System. This Model measures not only a cell temperature variation using invasive method but also controlling simulation for metabolic syndrome prediction. To identify the System realization, we discuss the schemes for predicting metabolic syndrome from measurement of mitochondrial activity by using high precision sensors and Integrated simulation Model of human energetic under high performance workflow computing environment. To predict metabolic syndrome, we built a sensor-Integrated chamber that had network interface to deliver analysis results of human cells, annotation data from public hospital, and metabolic data. Using the proposed System, we showed the possibility to evaluate the functionality of human mitochondria and analyze energy metabolism.

  • Kepler-based collaborative workflow System for metabolic syndrome estimation
    TENCON 2010 - 2010 IEEE Region 10 Conference, 2010
    Co-Authors: Chan-hyun Youn, Eun Bo Shim, Yeon Shik Choi, Hyo-derk Park, Hak Chul Jang
    Abstract:

    In this paper, we discuss nano sensor-Integrated System Model for metabolic syndrome estimation with workflow management System. We also represent function modules which can measure the heat metabolism in cell level and analyze it to distinguish condition of cell and human System. As for the evaluation of proposed System, we composed prototype workflows that automate each step of metabolism estimation simulation experiment processes with Kepler Extension Model that is useful for distributed collaborative simulation. Through the experimental results, we conclude that the proposed System enhanced distributed workflow execution performance according to the cell metabolism simulation Model.