Zobrazeno 1 - 10
of 4 066
pro vyhledávání: '"safety monitoring"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Internet of Things (IoT) technologies present transformative opportunities through connectivity of intelligent devices, environmental sensors, and integrated management systems. This study aims to investigate the benefits and impact of IoT i
Externí odkaz:
https://doaj.org/article/937e772bddc14d3688086772278dfa5c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Currently, the alarm functions of existing levee seepage monitoring systems are limited to single-parameter monitoring and lack rate-of-change alarms and correlation alarms. This can lead to false alarms, missed alarms, equipment failures, o
Externí odkaz:
https://doaj.org/article/befa0d2b5c294f23b3c32df8012f89f1
Autor:
Xiangzeng WANG, Hong YANG, Fangna LIU, Haiwen HU, Chaoyue LI, Ying LIU, Quansheng LIANG, Chunwei ZHANG
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 9, Pp 248-262 (2024)
Through the innovative combination of CO2 capture in the coal chemical industry and oil reservoir CO2 storage, Yanchang Petroleum has realized multiple benefits such as clean utilization of coal, carbon emission reduction, and crude oil production in
Externí odkaz:
https://doaj.org/article/3ad314ce9ded4c649eba6516e82ceba1
Publikováno v:
Journal of Engineering, Project, and Production Management, Vol 14, Iss 3, Pp 1-13 (2024)
Rapid advances in deep learning and computer vision enable traditional cloud-based decision-making through edge computing with the Artificial Intelligent Internet of Things (AIoT) image sensors (AIoT-IS), thus improving the timeliness and security of
Externí odkaz:
https://doaj.org/article/3bda18f4d2f84c93ad8f826367da9964
Publikováno v:
Journal of Engineering, Design and Technology, 2022, Vol. 22, Issue 4, pp. 1282-1305.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEDT-08-2021-0407
Autor:
Weiguo ZHANG
Publikováno v:
Meikuang Anquan, Vol 55, Iss 8, Pp 221-226 (2024)
In view of the diversity of equipment failure causes in the field application of coal mine safety monitoring system at the present stage, for some deep-level equipment failure causes, field technicians do not have the ability to conduct in-depth anal
Externí odkaz:
https://doaj.org/article/f5b5fa79a0f04f5f8e2edd1f7e794f84
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 7, Pp 89-97 (2024)
At present, the combination of edge computing and machine vision has a good application prospect for coal mine safety monitoring. But the storage space and computing resources at the edge are limited, and high-precision complex visual models are diff
Externí odkaz:
https://doaj.org/article/73267469762249a39e7b9c107740a9d4
Publikováno v:
Perspectives in Clinical Research, Vol 15, Iss 2, Pp 94-98 (2024)
There is a need to transition from conventional (on-site) clinical trials (CTs) to trials conducted within the comfort of a patient’s home or community (decentralized CT) through e-consent, remote data monitoring, and telemedicine consults. This sh
Externí odkaz:
https://doaj.org/article/f84d98d04bda4617936c9981aed9924b
Autor:
Si Tran
Publikováno v:
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, Vol 14, Iss 1, Pp 21-30 (2024)
Construction safety monitoring is vital in enhancing site safety, such as tracking entering hazardous areas and the correlation between workers and other hazard entities. Therein, computer vision-based image/video processing, one of the emerging tech
Externí odkaz:
https://doaj.org/article/7f46904efae7407b87d3aab76be7f26e
Autor:
Laure Cougnaud, Margaux Faes, Dirk Van Krunckelsven, Arne De Roeck, Michela Pasetto, Ann Fieuw, Claus A. Andersen, Paul Meyvisch
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Continuous medical and safety monitoring of subject data during a clinical trial is a critical part of evaluating the safety of trial participants and as such is governed by protocol procedures and regulatory guidelines to meet the trial's intended o
Externí odkaz:
https://doaj.org/article/fb40f6b85987488a9b160e93011cebfe