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. 34 (2021), No. 4

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

23 Nov. (Last 30 Days)

システム/制御/情報 Vol. 34 (2021), No. 4

計算コスト削減を目指したRNNの構造構築および性能解析

藤田 倫弘, 羅 志偉, 全 昌勤, 森 耕平

pp. 89-97

DOI:

10.5687/iscie.34.89

抄録

This paper presents novel RNN structures. In order to reduce the calculation as well as to overcome the analysis difficulty of gate structure and the problem of data dependence related normalization in the conventional method, 4 types of new RNNs inspired by shortcut connection were constructed while taking the advantages of gated RNNs and a sech function. Experiments and analyses are carried out to evaluate the performance of the RNNs. In detail, the experiments are performed using two corpus of WikiText-2 and IMDB, which have different properties. As a result, in the binary classification task using IMDB, the accuracy was about the same as LSTM and GRU with the parameter of 1/6 or less. However, in the language modeling task using WikiText-2, even if multilayer and the parameters of the intermediate layer were increased, the results were worse than that of conventional RNNs. This should be clarified in our future research.

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

計算コスト削減を目指したRNNの構造構築および性能解析

twitter
facebook
mendeley

Bibtex

Ris

WRS 2018 競技用タスクボードを用いた複数ロボットアームによる組立作業の分析

柴田 瑞穂, 土橋 宏規, 植村 渉, 横小路 泰義

pp. 98-106

DOI:

10.5687/iscie.34.98

抄録

This paper describes comparative analyses of time-efficient multi-arm assembly using a task board for a belt drive unit. The task board was used for the World Robot Summit (WRS) 2018 competition. From the viewpoint of using multiple arms, handling multiple parts simultaneously, and representing assembly both by robot systems and by human subjects, this paper introduces the set that shows only the contact condition between the arm and the part to arrange the time series data easily. Based on this analysis, there is a significant difference in the whole work time between the robot systems and the human subjects. One of the reasons is the difference in the usage of multiple arms. It will be important for robot systems to utilize multiple arms simultaneously to realize the time-efficient multi-arm assembly.

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

WRS 2018 競技用タスクボードを用いた複数ロボットアームによる組立作業の分析

twitter
facebook
mendeley

Bibtex

Ris

建設機械の稼働データを活用した残存耐用時間予測の一提案

小熊 尚太, 大松 繁, 大野 修一, 岩崎 和宏, 宍戸 義昭

pp. 107-112

DOI:

10.5687/iscie.34.107

抄録

For users to carry out various jobs according to the construction plan, if unexpected machine failures occur and their machines go down for an extended time, they will be huge losses. Therefore, machine maintenances are required for their machines to prevent from machine failures. However, due to operation in severe environment condition such as high load or long time use and in unexpected use, they often fail earlier than expected. For the maintenance of construction machinery, we propose to detect early indications of failure by predicting remaining useful times. Thereby, their machines can be performed maintenance before their failures and prevent unexpected machine failures. We propose to predict the machine failures of lower traveling bodies of hydraulic excavators by estimating their remaining useful times. Moreover, we also propose a practical example of maintenance activity using remaining useful times prediction in addition to failure prediction by neural network for hydraulic excavators and its effectiveness is shown.

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

建設機械の稼働データを活用した残存耐用時間予測の一提案

twitter
facebook
mendeley

Bibtex

Ris

深度センサを用いた電動車いすの衝突回避アシスト制御

君野 功季, 山下 湧大, 中村 文一

pp. 113-121

DOI:

10.5687/iscie.34.113

抄録

In a modern aging society, electric wheelchairs are an essential means of transportation for the elderly. In contrast, human operation errors of the electric wheelchair cause some accidents. For a control system operated by a human, human assist control to avoid accidents attracts much attention in recent years. For this problem, Hayashi et al. have proposed a human assist control of the electric wheelchair by using the control barrier function. However, the proposed method had a problem that delays human assist control due to a Laser Range Finder which needs some time to get the distance to obstacles. In this paper, we consider a depth sensor as a novel position measurement sensor. The depth sensor attracts much attention because the depth sensor is cheap and high availability. We evaluate the effectiveness of the depth sensor for human assist control of the electric wheelchair. Finally, we demonstrate the superior performance of the depth sensor by actual experiments, compared with a Laser Range Finder.

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

深度センサを用いた電動車いすの衝突回避アシスト制御

twitter
facebook
mendeley

Bibtex

Ris

骨格筋の力―長さ関係に変形の拘束条件が及ぼす影響

小田 俊明, 山村 直人, 高木 周

pp. 122-127

DOI:

10.5687/iscie.34.122

抄録

Deformation in skeletal muscle during contraction is restricted by skin, bone, and adjacent muscles. In this study, the relationship between these constraints and muscle function was examined using finite element simulation. An unconstrained model (UC), a model with limited bulge in the direction of skin and bone (CC1), and a model with limited bulge in the direction of skin and bone and adjacent muscles (CC2) were used. In comparison to UC, the muscle strength in force-length relationship decreased by 6.2% in CC1 and 9.9% in CC2 on average. It suggested that the difference in strain distribution of muscle tissue and the energy loss other than the direction of the force line due to bulging and rotation of muscle resulted in these force differences.

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

骨格筋の力―長さ関係に変形の拘束条件が及ぼす影響

twitter
facebook
mendeley

Bibtex

Ris

論文アクセスランキング

23 Nov. (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