Nothing Special   »   [go: up one dir, main page]
Skip to main content
SpringerLink
Log in

Appliance Recognition from Electric Current Signals for Information-Energy Integrated Network in Home Environments

  • Conference paper
Ambient Assistive Health and Wellness Management in the Heart of the City (ICOST 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5597))

Included in the following conference series:

Abstract

We are developing a novel home network system based upon the integration of information and energy. The system aims to analyze user behavior with a power-sensing network and provide various life-support services to manage power and electric appliances according to user behavior and preferences. This paper describes an electric appliance recognition method using power-sensing data measured by CECU (Communication and Energy Care Unit) which is an intelligent outlet with voltage and current sensors to integrate legacy appliances (which are incompatible with a communications network) with the home network. Furthermore, we demonstrate a prototype home energy management system and examples of services based upon appliance recognition.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Yamazaki, T., Jung, J., Kim, Y.J., Hahn, M., Teng, R., Tan, Y., Matsuyama, T.: Integration of sensor network and energy management system in home and regional community environments. In: Proc. of the 4th International Symposium on Energy, Informatics and Cybernetics (EIC 2008), pp. 276–279 (2008)

    Google Scholar 

  2. Higuchi, M., Morioka, R., Inagaki, K., Togashi, A.: Outline of HAVi. In: PIONEER R&D, vol. 11, pp. 39–49

    Google Scholar 

  3. HAVi, http://www.havi.org/

  4. DLNA Alliance, http://www.dlna.org/jp/industry/

  5. ECHONET CONSORTIUM, http://www.echonet.gr.jp/

  6. ZigBee®Alliance, http://www.zigbee.org/en/index.asp

  7. HD-PLC Alliance, http://hd-plc.org/

  8. Vapnik, V.N.: The Nature of Statistical Learning Theory, 2nd edn. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  9. Scholkopf, B., Platt, J.C., Shawe-Taylor, J., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Computation (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Institute of Information and Communications Technology, 3-5 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619 0289, Japan

    Takekazu Kato, Dongwook Lee, Tetsuo Toyomura & Tatsuya Yamazaki

  2. Digital Media Laboratory IT Convergence Campus, KAIST Seoul, Korea

    Hyun Sang Cho

Authors
  1. Takekazu Kato
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hyun Sang Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dongwook Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tetsuo Toyomura
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tatsuya Yamazaki
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institut TELECOM/TELECOM SudParis, Handicom Lab., 9, rue Charles Fourier, 91011, Evry Cedex, France

    Mounir Mokhtari  & Jérémy Bauchet  & 

  2. Institute of Telecooperation, Johannes Kepler University Linz, Altenberger Strasse 69, 4040, Linz, Austria

    Ismail Khalil

  3. Telecommunication Network and Services Department, HANDICOM Lab., Institut TELECOM & Management SudParis, 9, rue Charles Fourier, 91011, Evry Cedex, France

    Daqing Zhang

  4. School of Computing and Mathematics, University of Ulster at Jordanstown, Shore Road, Newtownabbey, BT37 0QB, Co. Antrim, UK

    Chris Nugent

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kato, T., Cho, H.S., Lee, D., Toyomura, T., Yamazaki, T. (2009). Appliance Recognition from Electric Current Signals for Information-Energy Integrated Network in Home Environments. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02868-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02868-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02867-0

  • Online ISBN: 978-3-642-02868-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation