Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Wen Jun Tan"'
Publikováno v:
IEEE Access, Vol 12, Pp 1747-1760 (2024)
In cloud computing, multiple workflow scheduling is important to optimize resource allocation and utilization for concurrent execution of diverse workflows across different applications. While previous research has focused on clustering-based resourc
Externí odkaz:
https://doaj.org/article/babff927d5fe47ffa7ceaaed0f233e97
Autor:
Junping Chen, Rong-Feng Shen, Wen-Jun Tan, Chen-Wei Wang, Shao-Lin Xiong, Run-Chao Chen, Bin-Bin Zhang
Publikováno v:
The Astrophysical Journal Letters, Vol 973, Iss 1, p L33 (2024)
The progenitors of gamma-ray bursts (GRBs) have long been an unresolved issue. GRB 230307A stands out as an exceptionally bright event, belonging to the long-duration GRBs but also exhibiting a late-emission component reminiscent of a kilonova. Toget
Externí odkaz:
https://doaj.org/article/f628989a36674180acea9d26156f0a04
Autor:
Yan-Qiu Zhang, Haoxiang Lin, Shao-Lin Xiong, Zhuo Li, Ming-Yu Ge, Chen-Wei Wang, Shu-Xu Yi, Zhen Zhang, Shuang-Nan Zhang, Li-Ming Song, Chao Zheng, Wang-Chen Xue, Jia-Cong Liu, Wen-Jun Tan, Yue Wang, Wen-Long Zhang
Publikováno v:
The Astrophysical Journal Letters, Vol 972, Iss 2, p L25 (2024)
Gamma-ray bursts (GRBs) are believed to launch relativistic jets, which generate prompt emission by internal processes, and produce long-lasting afterglows by driving external shocks into the surrounding medium. However, how the jet powers the extern
Externí odkaz:
https://doaj.org/article/8e1d02dcda704dec8bfa28302177e729
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:6208-6219
Autor:
Jun Yang, Xiao-Hong Zhao, Zhenyu Yan, Xiangyu Ivy Wang, Yan-Qiu Zhang, Zheng-Hua An, Ce Cai, Xin-Qiao Li, Zihan Li, Jia-Cong Liu, Zi-Ke Liu, Xiang Ma, Yan-Zhi Meng, Wen-Xi Peng, Rui Qiao, Lang Shao, Li-Ming Song, Wen-Jun Tan, Ping Wang, Chen-Wei Wang, Xiang-Yang Wen, Shuo Xiao, Wang-Chen Xue, Yu-Han Yang, Yi-Han Iris Yin, Bing Zhang, Fan Zhang, Shuai Zhang, Shuang-Nan Zhang, Chao Zheng, Shi-Jie Zheng, Shao-Lin Xiong, Bin-Bin Zhang
The brightest Gamma-ray burst, GRB 221009A, has spurred numerous theoretical investigations, with particular attention paid to the origins of ultra-high energy TeV photons during the prompt phase. However, analyzing the mechanism of radiation of phot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21f1b8f5e8858b8fe766df5066bc82e0
Autor:
Lin Lan, He Gao, An Li, Shuo Xiao, Shunke Ai, Zong-Kai Peng, Long Li, Chen-Yu Wang, Nan Xu, Shijie Lin, Wei-Hua Lei, Bing Zhang, Yan-Qiu Zhang, Chao Zheng, Jia-Cong Liu, Wang-Chen Xue, Chen-Wei Wang, Wen-Jun Tan, Shao-Lin Xiong
The gamma-ray burst GRB 221009A, known as the ``brightest-of-all-time" (BOAT), is the closest energetic burst detected so far, with an energy of $E_{\gamma,\rm iso} \sim 10^{55}$ ergs. This study aims to assess its compatibility with known GRB energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ab396a3700a52ca01ff5578b942fbe2
Publikováno v:
2022 Winter Simulation Conference (WSC).
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 31:1-26
Spiking neural networks (SNN) are among the most computationally intensive types of simulation models, with node counts on the order of up to 10 11 . Currently, there is intensive research into hardware platforms suitable to support large-scale SNN s
Publikováno v:
SIGSIM Conference on Principles of Advanced Discrete Simulation.
Publikováno v:
SIMULATION. :003754972311599
Applying simulation-based optimization to city-scale traffic signal optimization can be challenging due to the large search space resulting in high computational complexity. A divide-and-conquer approach can be used to partition the problem and optim