Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Delong Cui"'
Autor:
Yujiang Zhang, Dunpeng Zhang, Guorui Feng, Shuai Zhang, Yexing Chen, Xianfeng Zhang, Qian Wang, Delong Cui
Publikováno v:
ACS Omega, Vol 9, Iss 24, Pp 26168-26182 (2024)
Externí odkaz:
https://doaj.org/article/9ab52f1fa80240858a5e697d6eaabf25
Publikováno v:
Measurement + Control, Vol 57 (2024)
Cooling systems provide a safe thermal environment for the reliable operation of IT equipment in data centers (DCs) while generating significant energy consumption. Therefore, to achieve energy savings in cooling system control under dynamic thermal
Externí odkaz:
https://doaj.org/article/d9345a9381744f3a845e1792cb05317e
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-14 (2023)
Abstract Cloud task scheduling and resource allocation (TSRA) constitute a core issue in cloud computing. Batch submission is a common user task deployment mode in cloud computing systems. In this mode, it has been a challenge for cloud systems to ba
Externí odkaz:
https://doaj.org/article/f68d3d6d2f6c4536a25bba0400e4c595
Autor:
Delong Cui, Hong Huang, Zhiping Peng, Qirui Li, Jieguang He, Jinbo Qiu, Xinlong Luo, Jiangtao Ou, Chengyuan Fan
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 9, Pp 9168-9199 (2022)
This study aimed to develop a 5G + "mixed computing" + deep learning-based next-generation intelligent health-monitoring platform for an ethylene cracking furnace tube based on 5G communication technology, with the goal of improving the health manage
Externí odkaz:
https://doaj.org/article/1d679b38f07543139afff38757be0e19
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 3472-3486 (2022)
In the chemical industry, the ethylene cracking furnace is the core ethylene production equipment, and its safe and stable operation must be ensured. The fire gate is the only observation window to understand the high temperature operating conditions
Externí odkaz:
https://doaj.org/article/3345477db4d14e2ab9cf797b753860fa
Publikováno v:
IEEE Access, Vol 8, Pp 197863-197874 (2020)
With the development of artificial intelligence and the Internet of things, the prospects of cloud computing applications have become broader, and the number of users and cloud data centers (CDCs) has exploded. It is a challenge to realize efficient
Externí odkaz:
https://doaj.org/article/6f08efda084d4fee86f4884d9639edc0
Publikováno v:
International Journal of Chemical Engineering, Vol 2022 (2022)
As an important raw material for the chemical industry, ethylene is one of the surest indicators that measure the development level of a country. The diene yield is an important production quality index parameter of ethylene units, and it is very imp
Externí odkaz:
https://doaj.org/article/e7a20a6049eb48ae9a3bd9b430b35415
Publikováno v:
IEEE Access, Vol 7, Pp 158643-158654 (2019)
Temperature monitoring of the tube metal temperature (TMT) of cracking furnace tubes is essential to the normal production of ethylene. However, the existing infrared temperature measurement technology has certain defects in the accuracy of temperatu
Externí odkaz:
https://doaj.org/article/2124fffb475c44d888f8df4a75e5f934
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9360 (2021)
Task scheduling is key to performance optimization and resource management in cloud computing systems. Because of its complexity, it has been defined as an NP problem. We introduce an online scheme to solve the problem of task scheduling under a dyna
Externí odkaz:
https://doaj.org/article/a43cb4f615d640048d8fe1283eadb656
Publikováno v:
Soft Computing. 27:4823-4851