The Experts below are selected from a list of 201 Experts worldwide ranked by ideXlab platform
F. Hara - One of the best experts on this subject based on the ideXlab platform.
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Dynamic distributed knowledge system in self-organizing robotic system: CEBOT
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:The dynamical self knowledge allocation method is presented for a distributed intelligent system. The authors apply the method to the cellular robotic system CEBOT, which is one of the distributed systems. They propose a new Matrix Notation, the knowledge-based structure Matrix, to express the communication link and states of the knowledge allocation. They also propose a Matrix Notation for describing a given task, the task Matrix. The efficiency of the dynamical self knowledge allocation method reduces the total system communication information volume.
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ICRA - Dynamic distributed knowledge system in self-organizing robotic system: CEBOT
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:The dynamical self knowledge allocation method is presented for a distributed intelligent system. The authors apply the method to the cellular robotic system CEBOT, which is one of the distributed systems. They propose a new Matrix Notation, the knowledge-based structure Matrix, to express the communication link and states of the knowledge allocation. They also propose a Matrix Notation for describing a given task, the task Matrix. The efficiency of the dynamical self knowledge allocation method reduces the total system communication information volume. >
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A knowledge allocation method for cellular robotic system which is one of the distributed intelligent system
Proceedings. 5th IEEE International Symposium on Intelligent Control 1990, 1990Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:A knowledge allocation method for distributed intelligent system system is proposed and applied the method to the cellular robotic system CEBOT distributed systems. A new Matrix Notation is proposed to express the communication link and states of the knowledge allocation, knowledge based structure Matrix. A Notation for describing a given task is also proposed. The efficiency of the method, which the amount of system information communication is shown by simulations. It is concluded that the proposed knowledge allocation method is applicable to general distributed systems.
Karlheinz Ernst - One of the best experts on this subject based on the ideXlab platform.
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unification of the Matrix Notation in molecular surface science
Surface Science, 2010Co-Authors: Leo Merz, Karlheinz ErnstAbstract:Abstract The Matrix Notation connecting the adsorbate lattice with the substrate is a suitable method to define periodic molecular overlayers on single crystalline surfaces. Despite the simplicity of this Notation, there are different sets of rules in use, which are incomplete and allow ambiguous results. We suggest here a new consistent set of rules for unit cell selection and how to find in a uniform way a single Matrix Notation for equivalent structures. This is in particular important for meaningful database entries. Using examples from the literature, we show why existing rules fail to give unambiguous results and discuss in a tutorial manner how to apply the new rules.
T. Fukuda - One of the best experts on this subject based on the ideXlab platform.
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Dynamic distributed knowledge system in self-organizing robotic system: CEBOT
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:The dynamical self knowledge allocation method is presented for a distributed intelligent system. The authors apply the method to the cellular robotic system CEBOT, which is one of the distributed systems. They propose a new Matrix Notation, the knowledge-based structure Matrix, to express the communication link and states of the knowledge allocation. They also propose a Matrix Notation for describing a given task, the task Matrix. The efficiency of the dynamical self knowledge allocation method reduces the total system communication information volume.
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ICRA - Dynamic distributed knowledge system in self-organizing robotic system: CEBOT
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:The dynamical self knowledge allocation method is presented for a distributed intelligent system. The authors apply the method to the cellular robotic system CEBOT, which is one of the distributed systems. They propose a new Matrix Notation, the knowledge-based structure Matrix, to express the communication link and states of the knowledge allocation. They also propose a Matrix Notation for describing a given task, the task Matrix. The efficiency of the dynamical self knowledge allocation method reduces the total system communication information volume. >
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A knowledge allocation method for cellular robotic system which is one of the distributed intelligent system
Proceedings. 5th IEEE International Symposium on Intelligent Control 1990, 1990Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:A knowledge allocation method for distributed intelligent system system is proposed and applied the method to the cellular robotic system CEBOT distributed systems. A new Matrix Notation is proposed to express the communication link and states of the knowledge allocation, knowledge based structure Matrix. A Notation for describing a given task is also proposed. The efficiency of the method, which the amount of system information communication is shown by simulations. It is concluded that the proposed knowledge allocation method is applicable to general distributed systems.
Leo Merz - One of the best experts on this subject based on the ideXlab platform.
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unification of the Matrix Notation in molecular surface science
Surface Science, 2010Co-Authors: Leo Merz, Karlheinz ErnstAbstract:Abstract The Matrix Notation connecting the adsorbate lattice with the substrate is a suitable method to define periodic molecular overlayers on single crystalline surfaces. Despite the simplicity of this Notation, there are different sets of rules in use, which are incomplete and allow ambiguous results. We suggest here a new consistent set of rules for unit cell selection and how to find in a uniform way a single Matrix Notation for equivalent structures. This is in particular important for meaningful database entries. Using examples from the literature, we show why existing rules fail to give unambiguous results and discuss in a tutorial manner how to apply the new rules.
Y. Kawauchi - One of the best experts on this subject based on the ideXlab platform.
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Dynamic distributed knowledge system in self-organizing robotic system: CEBOT
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:The dynamical self knowledge allocation method is presented for a distributed intelligent system. The authors apply the method to the cellular robotic system CEBOT, which is one of the distributed systems. They propose a new Matrix Notation, the knowledge-based structure Matrix, to express the communication link and states of the knowledge allocation. They also propose a Matrix Notation for describing a given task, the task Matrix. The efficiency of the dynamical self knowledge allocation method reduces the total system communication information volume.
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ICRA - Dynamic distributed knowledge system in self-organizing robotic system: CEBOT
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:The dynamical self knowledge allocation method is presented for a distributed intelligent system. The authors apply the method to the cellular robotic system CEBOT, which is one of the distributed systems. They propose a new Matrix Notation, the knowledge-based structure Matrix, to express the communication link and states of the knowledge allocation. They also propose a Matrix Notation for describing a given task, the task Matrix. The efficiency of the dynamical self knowledge allocation method reduces the total system communication information volume. >
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A knowledge allocation method for cellular robotic system which is one of the distributed intelligent system
Proceedings. 5th IEEE International Symposium on Intelligent Control 1990, 1990Co-Authors: T. Fukuda, Y. Kawauchi, F. HaraAbstract:A knowledge allocation method for distributed intelligent system system is proposed and applied the method to the cellular robotic system CEBOT distributed systems. A new Matrix Notation is proposed to express the communication link and states of the knowledge allocation, knowledge based structure Matrix. A Notation for describing a given task is also proposed. The efficiency of the method, which the amount of system information communication is shown by simulations. It is concluded that the proposed knowledge allocation method is applicable to general distributed systems.
