Zobrazeno 1 - 10
of 32
pro vyhledávání: '"GUANGSHUN YAO"'
Autor:
Qian Ren, Guangshun Yao
Publikováno v:
IEEE Access, Vol 10, Pp 121109-121119 (2022)
Opportunistic routing (OR) is widely used in energy-harvesting wireless sensor networks (EH-WSNs). The transmission power of sensor nodes in EH-WSNs is usually adjusted dynamically to make full use of the harvested energy. Many OR algorithms with dyn
Externí odkaz:
https://doaj.org/article/ff2b731b15e9431493c3b30d9a54e500
Autor:
Qian Ren, Guangshun Yao
Publikováno v:
IEEE Access, Vol 9, Pp 119279-119288 (2021)
The energy limitation in traditional wireless sensor networks is effectively ameliorated by equipping energy harvesting modules and rechargeable batteries on nodes in energy harvesting wireless sensor networks (EH-WSNs). However, enhancing the harves
Externí odkaz:
https://doaj.org/article/69c1ae9a68a7430bb109e8a955f322ea
Autor:
Qian Ren, Guangshun Yao
Publikováno v:
Sensors, Vol 20, Iss 1, p 187 (2019)
Concerning the large amount of energy consumption during the cluster head selection stage and the unequal harvested energy among nodes in energy-harvesting wireless sensor networks (EH-WSNs), an energy- efficient cluster head selection scheme called
Externí odkaz:
https://doaj.org/article/705af32d59694e11bc7b37edef17c1e9
Publikováno v:
IEEE Transactions on Services Computing. 15:1371-1384
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1a74f99d6f8cca925989c7c16801fa3
https://doi.org/10.1109/tsc.2020.2992928
https://doi.org/10.1109/tsc.2020.2992928
Publikováno v:
IEEE Transactions on Services Computing. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e9b1a7cc2f0fb962aebaca0fc9d1c70
https://doi.org/10.1109/tsc.2022.3188414
https://doi.org/10.1109/tsc.2022.3188414
Input-to-state Stabilization of Delayed Semi-Markovian Jump Neural Networks Via Sampled-Data Control
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c52b9f4d54c1a2a684caa15dfc073b0
https://doi.org/10.1007/s11063-022-11008-z
https://doi.org/10.1007/s11063-022-11008-z
Publikováno v:
Discrete & Continuous Dynamical Systems - Series B; Feb2023, Vol. 28 Issue 2, p1553-1570, 18p
Autor:
Yichao Huang, Yaqiang Wu, Hui Li, Weihong Ma, Shuang Yan, Hesuo Zhang, Guangshun Yao, Lianwen Jin
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030865481
ICDAR (1)
ICDAR (1)
In this paper, we fill the research gap by adopting state-of-the-art computer vision techniques for the data extraction stage in a data mining system. As shown in Fig. 1, this stage contains two subtasks, namely, plot element detection and data conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcc6e05ce2f5a58b25ccc1b6cc74841
https://doi.org/10.1007/978-3-030-86549-8_37
https://doi.org/10.1007/978-3-030-86549-8_37
Autor:
Guangshun Yao, Qian Ren
Publikováno v:
Sensors, Vol 20, Iss 1, p 187 (2019)
Sensors
Volume 20
Issue 1
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 1
Sensors (Basel, Switzerland)
Concerning the large amount of energy consumption during the cluster head selection stage and the unequal harvested energy among nodes in energy-harvesting wireless sensor networks (EH-WSNs), an energy- efficient cluster head selection scheme called
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95ff8089c98d584e3d56dc0e2c3d031c
https://www.mdpi.com/1424-8220/20/1/187
https://www.mdpi.com/1424-8220/20/1/187
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 28:3671-3683
Resubmission and replication are two fundamental and widely recognized techniques in distributed computing systems for fault tolerance. The resubmission based strategy has an advantage in resource utilization, while the replication based strategy can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f79ba69a4810f1ac6c500b08ceb1a03
https://doi.org/10.1109/tpds.2017.2687923
https://doi.org/10.1109/tpds.2017.2687923