電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
139 巻 , 4 号
選択された号の論文の46件中1~46を表示しています
特集:スマートシステムと計測・制御技術
巻頭言
特集解説
特集論文
<システム・計測・制御>
特集研究開発レター
<システム・計測・制御>
論文
<電気回路・電子回路>
<情報通信工学>
  • 中尾 司ピエール, 三浦 康之, 深瀬 尚久
    2019 年 139 巻 4 号 p. 492-503
    発行日: 2019/04/01
    公開日: 2019/04/01
    ジャーナル 認証あり

    A 2-D torus network is one of the most popular networks for parallel processing. Many algorithms have been proposed based on the turn model, but most of them cannot be applied to a torus network without modification. In this paper, we mention the North-South First (NSF) routing that is applicable to a 2-D torus and combines the North-First method (NF) and the South-First method (SF). Our methods focused on the proposal of routing algorithms aimed at avoiding congestion of the coupled network, so we have not evaluated the fault tolerance. In fact, since the proposed method was a routing algorithm that guarantees the shortest path between source and destination, it was superior in congestion tolerance, but it was not known whether it had fault tolerance. In this paper, we evaluate the congestion tolerance of NSF by software simulation and evaluate the fault tolerance by simulation with faulty PE. Moreover, we propose an improved North-South First method (Improved NSF, NSF-IP) which is a new routing algorithm with improved fault tolerance by correcting the conventional NSF algorithm. For the proposed method, we evaluated both of congestion resistance and fault tolerance by dynamic communication performance evaluation by simulation. The software simulation showed that improved NSF method has higher performance.

<システム・計測・制御>
  • Kun-Young Han, Hee-Hyol Lee
    2019 年 139 巻 4 号 p. 504-513
    発行日: 2019/04/01
    公開日: 2019/04/01
    ジャーナル 認証あり

    An ultra-compact binary power plant converts thermal energy into electric power using low temperature difference thermal energy between heat source and cooling source. In control of the binary power plant, the negative effects such as characteristic changes caused by environmental condition and corrosion of related equipment, and coupling between control loops are the main difficulties in designing a controller and fine-tuning its parameters. In order to realize the stable power generation it is necessary to consider a control system to keep control performance when characteristic change of the binary power plant, and to compensate coupling in Multi-Input and Multi-Output (MIMO) systems. A Multiply-Connected (MC) Neuro PID control system using a Neural Network architecture connected directly by neurons of each control loop is proposed to overcome above difficulties, and its strategy for design of the control system is introduced. The proposed MC Neuro PID control system is compared to traditional control systems to show the effectiveness of the MC Neuro PID control through simulations in this paper.

<情報処理・ソフトウェア>
研究開発レター
<システム・計測・制御>
<情報処理・ソフトウェア>
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