Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Junjie Sheng"'
Autor:
Junjie Sheng, Haijun Wei
Publikováno v:
Lubricants, Vol 11, Iss 2, p 62 (2023)
Oil detection technology improves the reliability of machinery or equipment. The physical and chemical indicators of the fluid can reflect the cause of the failure in various aspects, which can prevent major accidents to the greatest extent by settin
Externí odkaz:
https://doaj.org/article/13fadb70f3b9497a80e46bf16d5c5abc
Autor:
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Publikováno v:
Proceedings of the ACM Web Conference 2023.
Oversubscription is a common practice for improving cloud resource utilization. It allows the cloud service provider to sell more resources than the physical limit, assuming not all users would fully utilize the resources simultaneously. However, how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db17f56cb3e7c84591059d99b6695618
https://doi.org/10.1145/3543507.3583298
https://doi.org/10.1145/3543507.3583298
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 5, Iss 4, Pp 155-159 (2015)
Under an applied voltage, dielectric elastomers (DEs) produce an actuation strain that is nonlinear, partly because of the material properties. In this study, an experimental characterization is conducted to evaluate how the ambient temperature and p
Externí odkaz:
https://doaj.org/article/14039e23ab5d446fbabf2731f9b2ab23
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccba933cdb21c941c95aa1b579cd3c38
https://doi.org/10.1109/bigdata55660.2022.10020550
https://doi.org/10.1109/bigdata55660.2022.10020550
Dynamic Electromechanical Response of a Viscoelastic Dielectric Elastomer under Cycle Electric Loads
Autor:
Junjie Sheng, Yuqing Zhang
Publikováno v:
International Journal of Polymer Science, Vol 2018 (2018)
Dielectric elastomer (DE) is able to produce large electromechanical deformation which is time-dependent due to the viscoelasticity. In the current study, a thermodynamic model is set up to characterize the influence of viscoelasticity on the electro
Externí odkaz:
https://doaj.org/article/2e634c268c2247b5a2ad9227923146f9
Publikováno v:
Mechanics of Time-Dependent Materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04ebe61f182832794e39c7b15efda0cf
https://doi.org/10.1007/s11043-022-09562-z
https://doi.org/10.1007/s11043-022-09562-z
Autor:
Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Virtual machine (VM) scheduling is one of the critical tasks in cloud computing. Many works have attempted to incorporate machine learning, especially reinforcement learning, to empower VM scheduling procedures. Although improved results are shown in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f0ff81bd6c98798072b520154c7eba
https://doi.org/10.24963/ijcai.2022/860
https://doi.org/10.24963/ijcai.2022/860
Publikováno v:
2022 IEEE 5th International Electrical and Energy Conference (CIEEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14a4a70690c0e81e03c5e215eea9500
https://doi.org/10.1109/cieec54735.2022.9846640
https://doi.org/10.1109/cieec54735.2022.9846640
Autor:
Keli Wang, Jie Ru, Lijie Li, Yanjie Wang, Longfei Chang, Jiale Wang, Junjie Sheng, Gangqiang Tang, Zhao Chun
Ionic polymer metal composite (IPMC) is one of typical electromechanical transducing materials integrating actuation and sensing functions. In this work, we systematically investigate the evolutions of the capacitance, surface resistance and ionic el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b42bafb4fc8236bdb83487f7d84762cc
https://cronfa.swan.ac.uk/Record/cronfa57293
https://cronfa.swan.ac.uk/Record/cronfa57293
Autor:
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
This work explores the large-scale multi-agent communication mechanism under a multi-agent reinforcement learning (MARL) setting. We summarize the general categories of topology for communication structures in MARL literature, which are often manuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8580f61a5ff9756525d1931b1a36fe8c
http://arxiv.org/abs/2002.04235
http://arxiv.org/abs/2002.04235