Zobrazeno 1 - 6
of 6
pro vyhledávání: '"You-Ting Jheng"'
Autor:
You-Ting Jheng, 鄭有廷
98
This thesis investigates the indoor localization based on minimum mean square error (MMSE) estimation for wireless sensor networks (WSN). With three received signal strength (RSS) of the unknown node, a trilateral localization is performed to
This thesis investigates the indoor localization based on minimum mean square error (MMSE) estimation for wireless sensor networks (WSN). With three received signal strength (RSS) of the unknown node, a trilateral localization is performed to
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/55710927915777728352
Publikováno v:
Electronics
Volume 10
Issue 16
Electronics, Vol 10, Iss 1949, p 1949 (2021)
Volume 10
Issue 16
Electronics, Vol 10, Iss 1949, p 1949 (2021)
This study strengthens the external distance variation for the indoor positioning performance. With the received signal strength (RSS) of the unknown node, a localization is performed to positioning its coordinates. The mean square error (MSE) of loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d38a85d0953f790d337e1e0abe5a51a7
https://doi.org/10.3390/electronics10161949
https://doi.org/10.3390/electronics10161949
Autor:
Yung-Fa Huang, Ching-Chuang Wei, Jong-Shin Chen, Yao-Jen Cheng, You-Ting Jheng, Chuan-Bi Lin, Wen Huang
Publikováno v:
2018 International Symposium on Computer, Consumer and Control (IS3C).
This study explores the indoor positioning in wireless networks. We used the Minimum Mean Square Error (MMSE) algorithm for triangulation positioning with the received signal strength (RSS). Through previous research, it is found that the accuracy of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f695c80e465b3454e5efb5f8bf5d54b6
https://doi.org/10.1109/is3c.2018.00118
https://doi.org/10.1109/is3c.2018.00118
Publikováno v:
ISDA (1)
Although weight decay learning has been proposed to improve generalization ability of a neural network, many simulated studies have demonstrated that it is able to improve fault tolerance. To explain the underlying reason, this paper presents an anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749d3b9f031bb22d4777bae153f31fad
https://doi.org/10.1109/isda.2008.146
https://doi.org/10.1109/isda.2008.146
Publikováno v:
2010 Sixth International Conference on Networked Computing & Advanced Information Management (NCM); 2010, p671-675, 5p
Publikováno v:
2008 Eighth International Conference on Intelligent Systems Design & Applications; 2008, p152-157, 6p