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Analysis Support for Communication Information in Information Equipment by Clustering of Multivariate Time Series Data and Word Embedding

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Advances in Industrial Design (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 260))

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Abstract

In this study, we propose a method to support a part of analysis of communication information between subsystems in information equipment. In the proposed method, we used clustering with the signal waveforms of components in information equipment and word embedding of communication information to support estimates of the contents of unknown communication information from known communication information. As a result, we confirmed the relevance and similarity between known communication information using the proposed method and indicated the possibility of supporting communication information analysis for unknown communication information.

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References

  1. Homma, R., Sato, H., Watanuki, K., Fujinami, K.: Interface analysis support for communication information in information equipment by subsequence segmentation and clustering of multivariate time series data. In: Proceedings of the 21st SICE System Integration Conference (SICE SI 2020), pp. 3009–3014 (2020) (in Japanese)

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  2. Hallac, D., Vare, S., Boyd, S., Leskovec, J.: Toeplitz inverse covariance-based clustering of multivariate time series data. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 215–223 (2017)

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  3. Sato, H., Homma, R., Watanuki, K., Fujinami, K.: Unknown commands analysis support for communication information in information equipment by word embedding. In: Proceedings of JSME Information, Intelligence and Precision Equipment Division Conference (JSME IIP 2021), No. 21-11, IIP 1B3–1 (2021) (in Japanese)

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  4. Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv: 1301.3781 (2013)

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Author information

Authors and Affiliations

  1. Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama-shi, 338-8570, Saitama, Japan

    Ryusei Homma, Hayata Sato & Keiichi Watanuki

  2. Advanced Institute of Innovative Technology, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama-shi, 338-8570, Saitama, Japan

    Keiichi Watanuki

  3. Tamron Co., Ltd, 1385 Hasunuma, Minuma-ku, Saitama-shi, 337-8556, Japan

    Kenji Fujinami

Authors
  1. Ryusei Homma
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  2. Hayata Sato
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  3. Keiichi Watanuki
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  4. Kenji Fujinami
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Corresponding author

Correspondence to Ryusei Homma .

Editor information

Editors and Affiliations

  1. Department of Industrial Design, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Cliff Sungsoo Shin

  2. Dipartimento di Architettura, Università degli Studi G. d’Annunzio, Pescara, Italy

    Giuseppe Di Bucchianico

  3. System Design and Management, Keio University, Musashino, Japan

    Shuichi Fukuda

  4. DAAP School of Design, University of Cincinnati, Cincinnati, OH, USA

    Yong-Gyun Ghim

  5. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Gianni Montagna

  6. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Cristina Carvalho

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Homma, R., Sato, H., Watanuki, K., Fujinami, K. (2021). Analysis Support for Communication Information in Information Equipment by Clustering of Multivariate Time Series Data and Word Embedding. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_114

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  • DOI: https://doi.org/10.1007/978-3-030-80829-7_114

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80828-0

  • Online ISBN: 978-3-030-80829-7

  • eBook Packages: EngineeringEngineering (R0)

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