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Prediction of shiver differentiation by the form alteration on the stable condition

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication KCI 등재후보 바로가기
  • 통권
    Vol.9 No.4 (2017.11)바로가기
  • 페이지
    pp.8-13
  • 저자
    Jeong-lae Kim, Kyu-dong Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A315392

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원문정보

초록

영어
Movement technique is comprised of the movement status of the circulation differentiation rate (CDR) and rotation differentiation rate (RDR) on the shiver movement form. Condition of the differentiation rate by the shiver movement form is to be modified the teetering movement system. As to fix the movement of signal on the material of body, we compared a shiver value of the circulation differentiation rate on the circulation state. The concept of rotation differentiation rate was identified the reference of rotation differentiation signal and rotation differentiation signal by the rotation state. For detecting a alteration of the CDR-RDR of the maximum and average in terms of the movement form, and shiver movement value that was a shiver value of the top alteration of the Top-фMAX-AVG with 12.80±1.27 units, that was a shiver value of the peripheral alteration of the Per-фMAX-AVG with 4.38±1.15 units, that was a shiver value of the limbus alteration of the Lim-фMAX-AVG with 1.65±0.25 units, that was a shiver value of the center alteration of the Cen-фMAX-AVG with 0.25±0.01 units. The teetering movement will be to assess at the ability of the movement form for the control degree of differentiation rate on the CDR-RDR that was shown the circulation and rotation form by the differentiation rate system. Teetering differentiation system was modified of a form by the special movement and was included a shiver data of teetering movement rate.

목차

Abstract
 1. Introduction
 2. Theory
 3. Experiments
 4. Results and Discussion
  4.1 Properties of the sequence selection
  4.2 Improvements of multiple sequence selections
 5. Conclusion
 References

키워드

movement techniques circulation differentiation rotation differentiation differentiation rate system

저자

  • Jeong-lae Kim [ Department of Biomedical Engineering Eulji University, Seongnam, 13135, Korea ]
  • Kyu-dong Kim [ Department of Medical IT, Eulji University, Seongnam, 13135, Korea ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.9 No.4

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