Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Xueqin Liang"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 2, Pp 248-264 (2024)
Digital Twin (DT) supports real time analysis and provides a reliable simulation platform in the Internet of Things (IoT). The creation and application of DT hinges on amounts of data, which poses pressure on the application of Artificial Intelligenc
Externí odkaz:
https://doaj.org/article/ec1cd0806b574744860eeec91678e6dc
Autor:
Shuai Yuan, Siqi Ding, Bin Ai, Daming Chen, Jingsheng Jin, Jiaxing Ye, Depeng Qiu, Xiaopu Sun, Xueqin Liang
Publikováno v:
International Journal of Photoenergy, Vol 2022 (2022)
In order to investigate the light-induced-degradation (LID) and regeneration of industrial PERC solar cells made from different positions of silicon wafers in a silicon ingot, five groups of silicon wafers were cut from a commercial solar-grade boron
Externí odkaz:
https://doaj.org/article/f3f98dc44dbe4e418e0ed96f08dd4f1b
Publikováno v:
Energies, Vol 15, Iss 20, p 7764 (2022)
In order to study the effect of device structures and silicon wafer positions on light-induced degradation (LID) and regeneration, five groups of industrial PERC and Al-BSF solar cells were fabricated by using silicon wafers from different positions
Externí odkaz:
https://doaj.org/article/e3c19f3a596a4e9aa8ec7766f43f6c56
In-Situ LID and Regeneration of Al-BSF Solar Cells from Different Positions of a B-Doped Cz-Si Ingot
Autor:
Siqi Ding, Chen Yang, Shuai Yuan, Bin Ai, Cheng Qin, Zhengke Li, Yecheng Zhou, Xiaopu Sun, Jianghai Yang, Quan Liu, Xueqin Liang
Publikováno v:
Energies, Vol 15, Iss 15, p 5591 (2022)
In this paper, five groups of industrial aluminium back-surface-field (Al-BSF) solar cells were made from silicon wafers from different locations of a B-doped Czochralski silicon ingot. Then, we performed the first LID (45 °C, 1 sun, 12 h), regenera
Externí odkaz:
https://doaj.org/article/52c338a678f74e009db335a9a639f1e1
Publikováno v:
IEEE Access, Vol 6, Pp 57787-57801 (2018)
Cloud radio access network (C-RAN) has become one of the hot-spot research directions in both industry and academia to facilitate 5G development. Its architecture is mainly divided into three parts: 1) Virtual base station (VBS) pool including a numb
Externí odkaz:
https://doaj.org/article/c1aa35aa616d4846918261db79ea70e8
Publikováno v:
IEEE Internet of Things Journal. 9:17488-17502
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75beb75426c07b0bed9e39996264b4fe
https://doi.org/10.1109/jiot.2022.3155631
https://doi.org/10.1109/jiot.2022.3155631
Taxonomy and Recent Advance of Game Theoretical Approaches in Adversarial Machine Learning: A Survey
Publikováno v:
ACM Transactions on Sensor Networks.
Carefully perturbing adversarial inputs degrades the performance of traditional machine learning (ML) models. Adversarial machine learning (AML) that takes adversaries into account during training and learning emerges as a valid technique to defend a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d71e7b9e15541db13a850b7a6c2cd0d3
https://doi.org/10.1145/3600094
https://doi.org/10.1145/3600094
Message from Dependability in Sensor, Cloud and Big Data System and Applications 2022 Program Chairs
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aaf7f139cdda0f1bf50b0122a164fe4
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00032
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00032
Publikováno v:
ACM Computing Surveys; Jul2023, Vol. 55 Issue 7, p1-38, 38p
Publikováno v:
Digital Communications and Networks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9b9108080056c0802ed270e7c5f8a74
https://doi.org/10.1016/j.dcan.2022.08.001
https://doi.org/10.1016/j.dcan.2022.08.001