Zobrazeno 1 - 10
of 10
pro vyhledávání: '"CHENGFENG YIN"'
Publikováno v:
High Voltage, Vol 6, Iss 6, Pp 1031-1039 (2021)
Abstract Insulator pollution degree detection is of great significance for preventing a flashover. Equivalent salt deposit density, leakage current, and surface pollution layer conductivity are commonly used to describe insulator pollution degree; ho
Externí odkaz:
https://doaj.org/article/4d9a1ab41ad0426bade630e724970608
Publikováno v:
Human-Centric Intelligent Systems, Vol 1, Iss 1-2, Pp 25-31 (2021)
Abstract Aspect level sentiment analysis aims at identifying sentiment polarity towards specific aspect terms in a given sentence. Most methods based on deep learning integrate Recurrent Neural Network (RNN) and its variants with the attention mechan
Externí odkaz:
https://doaj.org/article/aa34e299cbe24318bbb0a15d85f6880a
Publikováno v:
Wireless Communications and Mobile Computing. 2023:1-12
Based on the function and performance testing requirements of Internet of Vehicles, a design scheme for automatic simulation test and verification platform for the Internet of Vehicles based on cellular networks and real network in-loop is proposed.
Publikováno v:
2022 International Conference on 6G Communications and IoT Technologies (6GIoTT).
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-8
Knowing more about insulator pollution is of guiding significance to the development of anti-pollution strategies. Traditional methods can be used to determine only the pollution degree of insulators. However, the pollution distribution also has a su
Autor:
SHUANG LIANG, DI WANG, DAN LIU, YANG TIAN, HAIBO WANG, FENGXIA LI, GANG DONG, CHENGFENG YIN, YI YANG
Publikováno v:
Archives of Mining Sciences; 2023, Vol. 68 Issue 2, p301-318, 18p
Method for detection the non-soluble deposit density of insulators based on hyperspectral technology
Publikováno v:
2021 International Conference on Electrical Materials and Power Equipment (ICEMPE).
The rapid development of agriculture and industry in China leads to a fast increase in the non-soluble deposit density (NSDD) of insulators. At present, the detection of NSDD is concentrated in the use of optical principles, which is difficult to ach
Publikováno v:
Developments of Artificial Intelligence Technologies in Computation and Robotics.
Publikováno v:
Human-Centric Intelligent Systems. 1:25
Publikováno v:
Data Science and Knowledge Engineering for Sensing Decision Support.