Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Tan-Jan Ho"'
Autor:
Tan-Jan Ho, Chun-Hao Chang
Publikováno v:
Applied Sciences, Vol 8, Iss 2, p 159 (2018)
To feasibly achieve economical and satisfactory robust velocity tracking of an induction machine (IM), we propose an Arduino-implemented intelligent speed controller. Because a voltage/frequency controlled IM framework is simple and well suited for b
Externí odkaz:
https://doaj.org/article/390c7f38a1c445af867efcfb55b05fbd
Autor:
Tan-Jan Ho, Meng-Ju Chung
Publikováno v:
Applied Sciences, Vol 6, Iss 7, p 196 (2016)
For satisfactory traffic management of an intelligent transport system, it is vital that traffic microwave radar detectors (TMRDs) can provide real-time traffic information with high accuracy. In this study, we develop several information-aided smart
Externí odkaz:
https://doaj.org/article/2f04783600b3442b9d5bf141834974b8
Autor:
Tan-Jan Ho
Publikováno v:
IEEE Transactions on Wireless Communications. 21:4269-4281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b26d281504bee4564ac73a37dd5e4a14
https://doi.org/10.1109/twc.2021.3128396
https://doi.org/10.1109/twc.2021.3128396
Autor:
Tan-Jan Ho, Chi-Yang Hsu
Publikováno v:
2021 15th International Conference on Signal Processing and Communication Systems (ICSPCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44ed477d064848675c8796880bb5ea01
https://doi.org/10.1109/icspcs53099.2021.9660314
https://doi.org/10.1109/icspcs53099.2021.9660314
Publikováno v:
2021 13th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fc349d0ea471a4af4c331ec1dbc768b
https://doi.org/10.1109/icumt54235.2021.9631716
https://doi.org/10.1109/icumt54235.2021.9631716
Publikováno v:
Sustainability; Volume 14; Issue 13; Pages: 7928
In this paper, our design aims to assist in sleep inertia reduction and avoid the startle response and irritation caused by alarm-made unpleasant wakeup stimuli. Thus, we propose an approach that employs a soft and alerting sunrise simulation, condit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65e39ea7013cd84818c554adb011a119
https://doi.org/10.3390/su14137928
https://doi.org/10.3390/su14137928
Publikováno v:
2020 International Automatic Control Conference (CACS).
Tracking a target in a mixed line-of-sight (LOS)/non-LOS (NLOS) environment is a challenging nonlinear uncertain problem. Its difficulty is compounded by the condition that received measurements are probabilistically corrupted by known LOS noises and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::098087d27531cd304c489e2f159497ce
https://doi.org/10.1109/cacs50047.2020.9289731
https://doi.org/10.1109/cacs50047.2020.9289731
Autor:
Tan-Jan Ho
Publikováno v:
SMC
This paper presents new M-estimation based robust extended Kalman filter (M-REKF) and fuzzy M-REKF (F-M-REKF) for mobile location estimation in smart urban macro-cells. Both filters can effectively counter the effects of non-Gaussian observation nois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::715fd7879e2b0aec736f9ef86ba23441
https://doi.org/10.1109/smc.2019.8914517
https://doi.org/10.1109/smc.2019.8914517
Robust Urban Wireless Localization: Synergy Between Data Fusion, Modeling and Intelligent Estimation
Autor:
Tan-Jan Ho
Publikováno v:
IEEE Transactions on Wireless Communications. 14:685-697
In this paper, we present a viable Bayesian estimation alternative to mobile localization enhancement in mixed line-of-sight (LOS)/non-LOS (NLOS) urban areas. The development of the proposed approach relies on a synergistic combination of valid aggre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e40752c0ab804e450a31bbaa462ae91
https://doi.org/10.1109/twc.2014.2357807
https://doi.org/10.1109/twc.2014.2357807
Autor:
Tan-Jan Ho, Chun-Chieh Yang
Publikováno v:
WiMob
Due to continuous and unplanned urbanization, biases and probability of occurrences of non-line-of-sight (NLOS) errors can be drastically enlarged in macro-cellular smart urban environments. This paper presents a new robust estimation approach to mob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b92baafdfec31ad6ac5279ef10a5bb3
https://doi.org/10.1109/wimob.2017.8115840
https://doi.org/10.1109/wimob.2017.8115840