Zobrazeno 1 - 10
of 14 647
pro vyhledávání: '"Tuo, P"'
Autor:
Zheng, Jianchao, Lai, Xiazhi, Wu, Tuo, Elkashlan, Maged, da Costa, Daniel Benevides, Yuen, Chau, Adachi, Fumiyuki
In this letter, we investigate the security of fluid antenna system (FAS)-reconfigurable intelligent surfaces (RIS) communication systems. The base station (BS) employs a single fixed-position antenna, while both the legitimate receiver and the eaves
Externí odkaz:
http://arxiv.org/abs/2411.01400
In this paper, we pave the way to six-generation (6G) by investigating the outage probability (OP) of fluid antenna system (FAS)-active reconfigurable intelligent surface (ARIS) communication systems. We consider a FAS-ARIS setup consisting of a base
Externí odkaz:
http://arxiv.org/abs/2411.01398
The area under the curve (AUC) of the mean cumulative function (MCF) has recently been introduced as a novel estimand for evaluating treatment effects in recurrent event settings, capturing a totality of evidence in relation to disease progression. W
Externí odkaz:
http://arxiv.org/abs/2410.24163
Autor:
Liu, Q., Santangelo, A., Kong, L. D., Ducci, L., Ji, L., Wang, W., Serim, M. M., Güngör, C., Tuo, Y. L., Serim, D.
We report a detailed timing and spectral analysis of the X-ray pulsar 2S~1417-624 using the data from Insight-HXMT during the 2018 outburst. The pulse profiles are highly variable with respect to both unabsorbed flux and energy. A double-peaked pulse
Externí odkaz:
http://arxiv.org/abs/2410.22859
Autor:
Blum, T., Boyle, P. A., Bruno, M., Chakraborty, B., Erben, F., Gülpers, V., Hackl, A., Hermansson-Truedsson, N., Hill, R. C., Izubuchi, T., Jin, L., Jung, C., Lehner, C., McKeon, J., Meyer, A. S., Tomii, M., Tsang, J. T., Tuo, X. -Y.
We provide the first ab-initio calculation of the Euclidean long-distance window of the isospin symmetric light-quark connected contribution to the hadronic vacuum polarization for the muon $g-2$ and find $a_\mu^{\rm LD,iso,conn,ud} = 411.4(4.3)(2.4)
Externí odkaz:
http://arxiv.org/abs/2410.20590
Autor:
Mao, Xuan, Liu, He-Yang, Wang, Song, Ling, Zhixing, Yuan, Weimin, Cheng, Huaqing, Pan, Haiwu, Li, Dongyue, Favata, Fabio, Ji, Tuo, Zhang, Jujia, Zhao, Xinlin, Wan, Jing, Cai, Zhiming, Castro-Tirado, Alberto J., Dai, Yanfeng, Deng, Licai, Ding, Xu, Ji, Kaifan, Jin, Chichuan, Lei, Yajuan, Li, Huali, Lin, Jun, Liu, Huaqiu, Liu, Mingjun, Liu, Shuai, Liu, Yuan, Sun, Hui, Sun, Shengli, Sun, Xiaojin, Shi, Jianrong, Wang, Jianguo, Wang, Jingxiu, Wang, Wenxin, Wei, Jianyan, Xin, Liping, Xiong, Dingrong, Zhang, Chen, Zhang, Wenda, Zhang, Yonghe, Zhang, Xiaofeng, Zhao, Donghua, Zhou, Guiping
LEIA (Lobster Eye Imager for Astronomy) detected a new X-ray transient on November 7, 2022, identified as a superflare event occurring on a nearby RS CVn-type binary HD 251108. The flux increase was also detected in follow-up observations at X-ray, U
Externí odkaz:
http://arxiv.org/abs/2410.17999
In this paper, we conduct a theoretical analysis of how to integrate reconfigurable intelligent surfaces (RIS) with cooperative non-orthogonal multiple access (NOMA), considering URLLC. We consider a downlink two-user cooperative NOMA system employin
Externí odkaz:
http://arxiv.org/abs/2410.17609
Autor:
Zhenyuan, Yang, Zhengliang, Liu, Jing, Zhang, Cen, Lu, Jiaxin, Tai, Tianyang, Zhong, Yiwei, Li, Siyan, Zhao, Teng, Yao, Qing, Liu, Jinlin, Yang, Qixin, Liu, Zhaowei, Li, Kexin, Wang, Longjun, Ma, Dajiang, Zhu, Yudan, Ren, Bao, Ge, Wei, Zhang, Ning, Qiang, Tuo, Zhang, Tianming, Liu
This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compared directly to those produced by graduate-level human participants. B
Externí odkaz:
http://arxiv.org/abs/2410.18142
In this paper, we explore a dual-sniffer passive localization system that detects the timing difference of signals from both commercial base station (eNb) and user equipment (UE) to the sniffers. We design two localization schemes for UE localization
Externí odkaz:
http://arxiv.org/abs/2410.12218
We study the convergence rate of first-order methods for rectangular matrix factorization, which is a canonical nonconvex optimization problem. Specifically, given a rank-$r$ matrix $\mathbf{A}\in\mathbb{R}^{m\times n}$, we prove that gradient descen
Externí odkaz:
http://arxiv.org/abs/2410.09640