logo
言語
ブックマーク
ログアウト

ジャーナル

論文検索サイト

アカウント

© 2022 Steel Science Portal

ヘルプ

詳細検索

論文検索サイト

site
site
site
site

システム/制御/情報 Vol. 16 (2003), No. 7

ISIJ International
belloff
オンライン版ISSN: 2185-811X
冊子版ISSN: 1342-5668
発行機関: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

Backnumber

  1. Vol. 37 (2024)

    1. No.8
    2. No.7
    3. No.6
    4. No.5
    5. No.4
    6. No.3
    7. No.2
    8. No.1

  2. Vol. 36 (2023)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  3. Vol. 35 (2022)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  4. Vol. 34 (2021)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  5. Vol. 33 (2020)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  6. Vol. 32 (2019)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  7. Vol. 31 (2018)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  8. Vol. 30 (2017)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  9. Vol. 29 (2016)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  10. Vol. 28 (2015)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  11. Vol. 27 (2014)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  12. Vol. 26 (2013)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  13. Vol. 25 (2012)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  14. Vol. 24 (2011)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  15. Vol. 23 (2010)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  16. Vol. 22 (2009)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  17. Vol. 21 (2008)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  18. Vol. 20 (2007)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  19. Vol. 19 (2006)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  20. Vol. 18 (2005)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  21. Vol. 17 (2004)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  22. Vol. 16 (2003)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  23. Vol. 15 (2002)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  24. Vol. 14 (2001)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  25. Vol. 13 (2000)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  26. Vol. 12 (1999)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  27. Vol. 11 (1998)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  28. Vol. 10 (1997)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  29. Vol. 9 (1996)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  30. Vol. 8 (1995)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  31. Vol. 7 (1994)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  32. Vol. 6 (1993)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  33. Vol. 5 (1992)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  34. Vol. 4 (1991)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  35. Vol. 3 (1990)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  36. Vol. 2 (1989)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  37. Vol. 1 (1988)

    1. No.7
    2. No.6
    3. No.5
    4. No.4
    5. No.3
    6. No.2
    7. No.1

キーワードランキング

03 Dec. (Last 30 Days)

システム/制御/情報 Vol. 16 (2003), No. 7

マルコフ解析に基づいた遺伝的アルゴリズムの性能評価

岡村 寛之, 北須賀 一慶, 土肥 正

pp. 303-312

DOI:

10.5687/iscie.16.303

抄録

Genetic algorithm (GA) is a probabilistic algorithm for solving optimization problems, which is modeled on a genetic evolution process in biology, and is focused as an effective algorithm to find the global optimal solutions for many types of problems. Most research results on GAs are related to the design for some specific GAs and the simulation-based study for their applicability. It has not been established yet how to evaluate the performance of specific GAs in a general framework. In this paper, we give two theoretical results on the performance evaluation of GAs by using the Markovian analysis. First, we discuss convergence properties of GAs, and derive an associated performance measure, called the relaxation time for the Markov chain. Secondly, we develop an alternative Markovian analysis with rewards for real-coded GAs having real-vector individuals.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

マルコフ解析に基づいた遺伝的アルゴリズムの性能評価

twitter
facebook
mendeley

Bibtex

Ris

階層化意思決定法を用いたソフトウェア開発プロセスの改善必要性評価

高橋 理, 駒谷 喜代俊, 田村 坦之

pp. 313-320

DOI:

10.5687/iscie.16.313

抄録

Software engineering organizations now tend to improve their processes according to such standards as CMM (Capability Maturity Model), a process evaluation model, in addition to improving their software products. This is because it is believed that mature engineering processes can bring high-quality products within the original schedule. It is reported, however, that the result of the improvement activities is strongly related with engineer satisfaction for the process, that is, effective improvement can be expected on the phases where engineers have not been satisfied with. This paper proposes a method to evaluate how much engineers feel the current engineering process needs to be improved, with Descriptive AHP (Descriptive Analytic Hierarchy Process), one of decision making tools. Our method, based on the idea that the necessity evaluation can be related with engineers satisfaction, evaluates four engineering phases under six criteria defined at CMM Level 2, determining which phases should be improved first. As a result of having system engineers use this method, we found that quality assurance activities in the manufacturing and examination phases need to be superior for improvement to other phases.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

階層化意思決定法を用いたソフトウェア開発プロセスの改善必要性評価

twitter
facebook
mendeley

Bibtex

Ris

複数の記憶テーブルを有する連想記憶セルラニューラルネットワーク

難波 道弘, 章 忠, 川畑 洋昭

pp. 321-329

DOI:

10.5687/iscie.16.321

抄録

It is reported that the CNNs (Cellular Neural Networks) have a high ability of associative memory. However, the number of memory patterns and their similarity influence the recall capability of conventional CNNs. Hence, it is considered that the appropriate number of memory patterns which gives the maximum of the recall capability exists. In this paper, we investigate the influence of memory patterns on the recall capability in CNNs, and estimate the range of the appropriate number of memory patterns.
Furthermore, we propose the CNN for associative memory with Multiple Memory Tables (MTT-CNN) in order to apply to practical fields. Thereupon, in order to verify the usefulness of the MMT-CNN, we performed the experiments by using 6×6, 12×12, 15×15 MMT-CNN, and examined the incomplete recall rate in each experiment. As a result, the incomplete recall rate of the MTT-CNN was far below that of the conventional CNN, and we could confirm an improvement of self-recall function. Moreover, we could avoid the incomplete recall completely by choosing more appropriate divisions.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

複数の記憶テーブルを有する連想記憶セルラニューラルネットワーク

twitter
facebook
mendeley

Bibtex

Ris

ファジィ推論を用いた油圧ショベルの作業判別

新谷 裕和, 鹿児島 昌之, 絹川 秀樹, 新井 健生

pp. 330-338

DOI:

10.5687/iscie.16.330

抄録

This paper describes the recognition method of operation with hydraulic excavators. Features of operation are extracted from the lever operating data to recognize the operation. Using fuzzy reasoning depending on these features, high accuracy recognition became possible for various operators. We have also developed tuning method for membership functions in fuzzy reasoning. Even if the type of hydraulic excavators is changed, high accuracy recognition is maintained by this method. These methods were experimentally shown to be useful and have been put to practical use.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

ファジィ推論を用いた油圧ショベルの作業判別

twitter
facebook
mendeley

Bibtex

Ris

製造工程のスケジューリングと組み合わせた発注方式の提案

飯間 等, 三宮 信夫

pp. 339-346

DOI:

10.5687/iscie.16.339

抄録

This paper deals with simultaneous determination of ordering and scheduling in a manufacturing process. The objectives of this problem are to minimize both the out-of-stock ratio and the total inventory. We propose an iterative algorithm which solves successively the respective problems for the inventory control system and the manufacturing system. Moreover, a new ordering policy is proposed in the inventory control system. In this policy, the ordering amount is determined in such a way that the minimum of margin stock ratio in all items is maximized. In the manufacturing system, the schedule is determined for that order. It is confirmed from the computational result that the proposed method outperforms the method without iteration and a periodic inventory based method.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

製造工程のスケジューリングと組み合わせた発注方式の提案

twitter
facebook
mendeley

Bibtex

Ris

可調整パラメータを持つmax-plus線形システムに対するモデル予測制御

五島 洋行, 増田 士朗, 雨宮 孝, 竹安 数博

pp. 347-355

DOI:

10.5687/iscie.16.347

抄録

This paper proposes model predictive control (MPC) design method for the max-plus linear systems with adjustable parameters. The several studies have been done so far under the constraints that system parameters are constant. However, it is common and inevitable that system parameters are changed in practical systems, so, it is worthwhile to design a new MPC controller with variable parameters. In this paper, we handle a max-plus linear system with system parameters dependent upon event counters and the optimization method we proposed recenlty for an optimal inverse system of max-plus linear system with linear-parameter-varying structure is applied to MPC. Since MPC uses greater prediction step than that of the inverse systems, the controller can be made more robust and the operation cost can be reduced. Finally, the proposed method is applied to a production system with three machines, and the effectiveness of this method is verified through numerical simulations.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

可調整パラメータを持つmax-plus線形システムに対するモデル予測制御

twitter
facebook
mendeley

Bibtex

Ris

複数装置から成るプラントの多期間生産計画問題に対する並列型主双対内点法

山川 栄樹, 江本 源一

pp. 356-365

DOI:

10.5687/iscie.16.356

抄録

A parallel implementation of a primal-dual interior point method is presented for multi-period and multi-facility production planning problems with nonlinear constraints. Exploiting the nested primal block-angular structure of the problem, the system of linear equations for calculating the search direction is decomposed into independent systems of linear equations and another system of linear equations which can be solved efficiently owing to the staircase structure of the coupling constraints. Computational experiments on the parallel computer VPP800 shows that the proposed method is very efficient for large-scale multi-period and multi-facility production planning problems.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

複数装置から成るプラントの多期間生産計画問題に対する並列型主双対内点法

twitter
facebook
mendeley

Bibtex

Ris

2自由度構成によるモデル予測制御におけるランプ状外乱に対する制御則の構成

吉永 慎一, 井上 昭, 矢納 陽, 平嶋 洋一, Yoichi HIRASHIMA

pp. 366-368

DOI:

10.5687/iscie.16.366
mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

2自由度構成によるモデル予測制御におけるランプ状外乱に対する制御則の構成

twitter
facebook
mendeley

Bibtex

Ris

論文アクセスランキング

03 Dec. (Last 30 Days)

この機能はログイン後に利用できます。
下のボタンをクリックしてください。

詳細検索

論文タイトル

著者

抄録

ジャーナル名

年

出版日を西暦で入力してください（4桁の数字）。

検索したいキーワードを入力して下さい