INT-06 STUDY ON EFFICIENT PHS POSITION TRACKING SYSTEM FOR TRANSPORT EQUIPMENTS USING ACCELEROMETER AND SUPERVISED MACHINE LEARNING(Intelligent Machines II,Technical Program of Oral Presentations)
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概要
- 論文の詳細を見る
This paper studies an algorithm to judge moving and stopping status of distribution equipment from continuous vibration measurement. The key for this algorithm is a decision of threshold level, which differs according to the distribution equipment. For this end, supervised machine learning, which decides the proper threshold using the result of PHS location measurement as a training data is employed and fundamental effectiveness of algorithm is confirmed.
- 一般社団法人日本機械学会の論文
- 2009-06-17
著者
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YOSHIDA Hiroshi
Department of Clinical Laboratory Medicine, Fukushima Medical College
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Kawahara Yasuhiro
Department of Internal Medicine (1st Division), Kobe University School of Medicine
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Hosaka Hiroshi
Department Of Environmental Studies Graduate School Of Frontier Sciences The University Of Tokyo
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Kawahara Yasuhiro
Department Of Biochemistry Kobe University School Of Medicine
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Hosaka Hiroshi
Department Of Frontier Sciences The University Of Tokyo
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Kawahara Yasuhiro
Department Of Frontier Sciences The University Of Tokyo
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Yoshida Hiroshi
Department Of Biophysics Graduate School Of Science Kyoto University
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Yoshida Hiroshi
Department Of Frontier Sciences The University Of Tokyo
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Yoshida Hiroshi
Departmen Of Radiology School Of Medicine Asahikawa Medical University
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Hosaka Hiroshi
Department of Applied Chemistry, Faculty of Science, Science University of Tokyo
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