文献
J-GLOBAL ID:201702263318737072
整理番号:17A0056440
IRIS微粉を用いた屋内環境における人間検出のための受信電力によるDFLの解析【Powered by NICT】
Analysis of RSSI-based DFL for human detection in indoor environment using IRIS mote
著者 (9件):
Shukri S.
(School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia)
,
Kamarudin L. M.
(School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia)
,
Cheik Goh Chew
(School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia)
,
Gunasagaran R.
(School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia)
,
Zakaria A.
(Centre of Excellence for Advanced Sensor and Technology (CEASTech), UniMAP, Perlis, Malaysia)
,
Kamarudin K.
(Centre of Excellence for Advanced Sensor and Technology (CEASTech), UniMAP, Perlis, Malaysia)
,
Zakaria S. M. M. S
(Centre of Excellence for Advanced Sensor and Technology (CEASTech), UniMAP, Perlis, Malaysia)
,
Harun A.
(Centre of Excellence for Advanced Sensor and Technology (CEASTech), UniMAP, Perlis, Malaysia)
,
Azemi S. N.
(School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
ICED
ページ:
216-221
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)