Zobrazeno 1 - 10
of 2 152
pro vyhledávání: '"Zhang Xiao-ping"'
Publikováno v:
Zhipu Xuebao, Vol 45, Iss 1, Pp 123-130 (2024)
The content of ethanol in wine can affect its quality. Some edible alcohol contains small amounts of methanol, and its accumulation can cause serious health problems. Therefore, it is very important to test the contents of methanol and ethanol in alc
Externí odkaz:
https://doaj.org/article/b51ed77087224d4d989b0b8594b72ef7
Autor:
LI Jing-ling, ZHANG Xiao-ping, HU Ping-hua, ZHENG Ming-yu, ZHANG Xing-lei, HU Li-yun, SU Rui, CHEN Huan-wen1
Publikováno v:
Zhipu Xuebao, Vol 45, Iss 1, Pp 174-182 (2024)
Microdroplets have many unique features such as small size and high electric field, therefore they can be accelerated to initiate chemical reactions and even promote some reactions that cannot be carried out in liquid phase. N, N-Dimethylaniline (DMA
Externí odkaz:
https://doaj.org/article/eaca5214f40243af967b3dc2bf7afc2c
Publikováno v:
Hecheng xiangjiao gongye, Vol 45, Pp 201-206 (2022)
The desulfurized ground tire rubber (DGTR) was prepared from 40 mesh waste ground tire rubber by ultrasonic desulfurization process in an ultrasonic co-rotating twin- screw extruder. The effects of ultrasonic amplitude on the die pressure and power c
Externí odkaz:
https://doaj.org/article/078f4971f8d240cfb1b241e5eff144d2
The \(L_1/L_2\) norm ratio has gained significant attention as a measure of sparsity due to three primal advantages: sharper approximation to the \(L_0\) norm compared to the widely-used \(L_1\) norm, being parameter-free and scale-invariant, and exc
Externí odkaz:
http://arxiv.org/abs/2409.18748
Deep learning-based network traffic classification (NTC) techniques, including conventional and class-of-service (CoS) classifiers, are a popular tool that aids in the quality of service (QoS) and radio resource management for the Internet of Things
Externí odkaz:
http://arxiv.org/abs/2409.05096
Integrated sensing and communication (ISAC) is a key technology of next generation wireless communication. Backscatter communication (BackCom) plays an important role for internet of things (IoT). Then the integration of ISAC with BackCom technology
Externí odkaz:
http://arxiv.org/abs/2409.02797
In data driven deep learning, distributed sensing and joint computing bring heavy load for computing and communication. To face the challenge, over-the-air computation (OAC) has been proposed for multi-sensor data aggregation, which enables the serve
Externí odkaz:
http://arxiv.org/abs/2409.00738
The integration of backscatter communication (BackCom) technology with integrated sensing and communication (ISAC) technology not only enhances the system sensing performance, but also enables low-power information transmission. This is expected to p
Externí odkaz:
http://arxiv.org/abs/2407.19235
Autor:
Li, Shoujie, Wang, Zihan, Wu, Changsheng, Li, Xiang, Luo, Shan, Fang, Bin, Sun, Fuchun, Zhang, Xiao-Ping, Ding, Wenbo
Tactile sensors, which provide information about the physical properties of objects, are an essential component of robotic systems. The visuotactile sensing technology with the merits of high resolution and low cost has facilitated the development of
Externí odkaz:
http://arxiv.org/abs/2406.12226
Autor:
Li, Menglu, Zhang, Xiao-Ping
Explaining the decisions made by audio spoofing detection models is crucial for fostering trust in detection outcomes. However, current research on the interpretability of detection models is limited to applying XAI tools to post-trained models. In t
Externí odkaz:
http://arxiv.org/abs/2406.08825