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Education of Embedded System by Using Electric Fan

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6278))

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Abstract

These days most electronic equipment uses system engineering incorporating computers. The increased number of semiconductor elements in computer-embedded systems causes both the hardware and the software to grow in size, making them increasingly complex. It is therefore an urgent task to develop compatible techniques and maintain quality. Considering this situation, this paper discusses a method of training engineers and managers for computer-embedded systems using fans.

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References

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Author information

Authors and Affiliations

  1. Professional Graduate School Embedded Technology, Tokai University, 2-2-12 takanawa, minato-ku, Tokyo-to, 108-8619, Japan

    Osamu Yuuki, Junji Namiki & Kunihiro Yamada

Authors
  1. Osamu Yuuki
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  2. Junji Namiki
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  3. Kunihiro Yamada
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Editor information

Editors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, University of Portsmouth, BUckingham Building, Lion Terrace, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Yuuki, O., Namiki, J., Yamada, K. (2010). Education of Embedded System by Using Electric Fan. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_63

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  • DOI: https://doi.org/10.1007/978-3-642-15393-8_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15392-1

  • Online ISBN: 978-3-642-15393-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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