Zobrazeno 1 - 10
of 354
pro vyhledávání: '"PENG Xiaohui"'
Non-intrusive Appliance Load Monitoring (NALM) aims to recognize individual appliance usage from the main meter without indoor sensors. However, existing systems struggle to balance dataset construction efficiency and event/state recognition accuracy
Externí odkaz:
http://arxiv.org/abs/2410.16293
Autor:
Luo, Jiajin, Zhou, Baojian, Yu, Yang, Zhang, Ping, Peng, Xiaohui, Ma, Jianglei, Zhu, Peiying, Lu, Jianmin, Tong, Wen
In order to address the lack of applicable channel models for ISAC research and evaluation, we release Sensiverse, a dataset that can be used for ISAC research. In this paper, we present the method of generating Sensiverse, including the acquisition
Externí odkaz:
http://arxiv.org/abs/2308.13789
An indoor layout sensing and localization system in 60GHz millimeter wave (mmWave) band, named mmReality, is elaborated in this paper. The mmReality system consists of one transmitter and one mobile receiver, each with a phased array and a single rad
Externí odkaz:
http://arxiv.org/abs/2206.02996
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Autor:
Wang, Yankai, Peng, Xiaohui, Lian, Xuechun, Yu, Qi, Zhang, Lingli, Li, Tingting, Luo, Haoyu, Yu, Kaili, Zhang, Wenli, Zhong, Deyi, Zhao, Yonghui, Li, Shengben
Publikováno v:
In The Crop Journal October 2024 12(5):1414-1425
Publikováno v:
In Journal of Voice September 2024 38(5):1207-1213
Autor:
Li, Guoliang, Wang, Shuai, Li, Jie, Wang, Rui, Liu, Fan, Peng, Xiaohui, Han, Tony Xiao, Xu, Chengzhong
Characterizing the sensing and communication performance tradeoff in integrated sensing and communication (ISAC) systems is challenging in the applications of learning-based human motion recognition. This is because of the large experimental datasets
Externí odkaz:
http://arxiv.org/abs/2107.09621
Human motion recognition (HMR) based on wireless sensing is a low-cost technique for scene understanding. Current HMR systems adopt support vector machines (SVMs) and convolutional neural networks (CNNs) to classify radar signals. However, whether a
Externí odkaz:
http://arxiv.org/abs/2104.10378
Autor:
He, Chuansheng, Hu, Xiaochen, Peng, Xiaohui, Zhao, Yidan, Li, Yunchao, Li, Xiaohong, Fan, Louzhen, Zhang, Yang
Publikováno v:
In Journal of Alloys and Compounds 5 July 2023 948
Publikováno v:
In Information Sciences April 2023 623:146-163