Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Eunshin Byon"'
Autor:
Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum E. Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye
Publikováno v:
IEEE Access, Vol 9, Pp 156071-156113 (2021)
The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the future, IoFT, the “cloud” will be substituted by the “crowd” where model training is brought to the edge, allowing IoT devices to collaboratively
Externí odkaz:
https://doaj.org/article/062590f52ce0422fa225371fa898a329
Autor:
David E. Jahn, William A. Gallus, Phong T. T. Nguyen, Qiyun Pan, Kristen Cetin, Eunshin Byon, Lance Manuel, Yuyu Zhou, Elham Jahani
Publikováno v:
Atmosphere, Vol 10, Iss 12, p 727 (2019)
Climate studies based on global climate models (GCMs) project a steady increase in annual average temperature and severe heat extremes in central North America during the mid-century and beyond. However, the agreement of observed trends with climate
Externí odkaz:
https://doaj.org/article/3614df73deab4822bb189bc3e6f6c76a
Publikováno v:
INFORMS Journal on Data Science.
Parameter calibration aims to estimate unobservable parameters used in a computer model by using physical process responses and computer model outputs. In the literature, existing studies calibrate all parameters simultaneously using an entire data s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89980909fb66a949e9c4adb21b5e9340
https://doi.org/10.1287/ijds.2023.0029
https://doi.org/10.1287/ijds.2023.0029
Autor:
Youngchan Jang, Eunshin Byon, Soham Vanage, Kristen Cetin, David E. Jahn, William Gallus, Lance Manuel
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3543f3043424466f6451bb6af3ff1a6
https://doi.org/10.1109/tase.2022.3201475
https://doi.org/10.1109/tase.2022.3201475
Publikováno v:
2022 Winter Simulation Conference (WSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bc9ee4aafc6663c3bf6ccbdbbddd52e
https://doi.org/10.1109/wsc57314.2022.10015515
https://doi.org/10.1109/wsc57314.2022.10015515
Autor:
Young Myoung Ko, Eunshin Byon
Publikováno v:
IISE Transactions. 54:881-893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e92c82b007548524b95afe4ee0e4848e
https://doi.org/10.1080/24725854.2021.1953197
https://doi.org/10.1080/24725854.2021.1953197
Publikováno v:
The Annals of Applied Statistics. 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::977ece7f8c789a9663944173d6205fbe
https://doi.org/10.1214/21-aoas1567
https://doi.org/10.1214/21-aoas1567
Publikováno v:
IEEE Transactions on Reliability. 70:134-145
Extreme quantiles are important measures in reliability analysis. At the system design stage, quantiles are often estimated via stochastic simulations. This article aims to quantify quantile estimation uncertainties by constructing confidence interva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a60ab1a2318980be7048f569a3c6924
https://doi.org/10.1109/tr.2020.2980448
https://doi.org/10.1109/tr.2020.2980448
Autor:
Milo Engoren, Satya Krishna Ramachandran, Jungyoon Kim, Dawn M. Tilbury, Mi-Sun Kang, Youngchan Jang, Eunshin Byon
Publikováno v:
IEEE Sensors Journal. 21:3810-3821
In this paper, we propose a respiration monitoring system based on the channel state information received from a commercial off-the-shelf Wi-Fi device. We develop data processing modules for extracting respiration parameters from the Wi-Fi signal and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03c5f5d18cdc701e53888c118cad1213
https://doi.org/10.1109/jsen.2020.3023178
https://doi.org/10.1109/jsen.2020.3023178
Autor:
Chinedum E. Okwudire, Xubo Yue, Seokhyun Chung, Raed Kontar, Mosharaf Chowdhury, Romesh Saigal, Judy Jin, Wissam Kontar, Eunshin Byon, Garvesh Raskutti, Zhisheng Ye, Karandeep Singh, Naichen Shi, Neda Masoud, Maher Noueihed
Publikováno v:
IEEE Access, Vol 9, Pp 156071-156113 (2021)
The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the future, IoFT, the “cloud” will be substituted by the “crowd” where model training is brought to the edge, allowing IoT devices to collaboratively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f96a903c11e34e877140a18cd14e293b
https://ieeexplore.ieee.org/document/9611259/
https://ieeexplore.ieee.org/document/9611259/