Zobrazeno 1 - 10
of 5 400
pro vyhledávání: '"Zhou SHENG"'
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 7, Pp 108-112 (2024)
Objective During the construction of shield method connecting passage, the jacking and cutting actions cause significant changes in the stress at tunnel intersection, exacerbating the impact of breakthroughs and reducing safety performance. To effici
Externí odkaz:
https://doaj.org/article/0eb1017082c4442ead0256c9199f0cfb
Autor:
Zhou SHENG
Publikováno v:
Zhongguo yiliao qixie zazhi, Vol 48, Iss 2, Pp 221-227 (2024)
In the field of medical devices, there has been a long-term lack of a general technical requirements framework for reliability that can be applied in the development of high-risk active implantable medical devices. This study combines the requirement
Externí odkaz:
https://doaj.org/article/32e13a8cd3ae4abb868311cd50a4a694
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 5, Pp 19-24 (2023)
To solve the problem of vehicle shaking and substantial lateral control deviation in the autonomous lateral control of autonomous-rail rapid tram and ensure its stable driving and safe lane changing on the road, this paper studies the road reconstruc
Externí odkaz:
https://doaj.org/article/9d210a4b94f64265ab9c31ea837492b8
Autor:
Ma Yunkang, Yan Wei, Song Yanjie, Zhang Meiqin, Zhou Sheng, Xiong Tianfang, Geng Jia, Li Xiaofan, Cheng Xuesong
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract The construction of cross passages using the tunnel boring machine (TBM) method represents an emerging construction technique with numerous advantages. However, owing to the scarcity of application instances, the safety control methodologies
Externí odkaz:
https://doaj.org/article/c11c0ba96ef640bcb5fa985d6a30543c
Autor:
Zhou Sheng, Liu Yue, Yue Zhao, Gao Jin, Qiang Zhang, Shufang Fu, Xiangguang Wang, Xuan Wang, Xuanzhang Wang
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26727- (2024)
Natural hyperbolic materials can confine electromagnetic waves at the nanoscale. In this study, we propose a waveguide design that combines a high quality factor (FOM) with low loss, utilizing hexagonal boron nitride and graphene and gold substrate.
Externí odkaz:
https://doaj.org/article/5c81a3934b7943689adb907e7f3e617f
Autor:
Zhou Sheng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The arrival of the big data era makes the amount of data explosive growth, which puts forward new challenges and demands for computer network technology, and the integration of big data and network technology has become an important trend. This paper
Externí odkaz:
https://doaj.org/article/65e308394168498eb874de939d3713e1
Autor:
Zhou Sheng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This study on the fusion of deep convolutional neural network (CNN) and extended short-term memory network (LSTM) aims to improve the efficiency and accuracy of broken information recovery. The challenges faced by traditional information recovery tec
Externí odkaz:
https://doaj.org/article/dd9d0e087a7e45378167a4fa8819479c
Publikováno v:
Shipin yu jixie, Vol 39, Iss 1, Pp 116-124,151 (2023)
Objective: The study aimed to improve the storage quality of frozen cooked crawfish tail meat. Methods: Crawfish tail meat were immersed in different proportions of complex phosphate, trehalose and sorbitol antifreeze agents. The thawing loss rate, w
Externí odkaz:
https://doaj.org/article/58bbbe222e3747278e127ed0a6858690
Autor:
ZHOU Sheng-yi, ZENG Hong-wei
Publikováno v:
Jisuanji kexue, Vol 48, Iss 12, Pp 107-116 (2021)
The worst case execution path is an important indicator of program complexity,which helps to discover possible complexity vulnerabilities in the system.In recent years,the application of symbolic execution in program complexity analysis has made grea
Externí odkaz:
https://doaj.org/article/d6303f7a7dc04e1aa04fcc4a2940f39c
Future Vehicle-to-Everything (V2X) scenarios require high-speed, low-latency, and ultra-reliable communication services, particularly for applications such as autonomous driving and in-vehicle infotainment. Dense heterogeneous cellular networks, whic
Externí odkaz:
http://arxiv.org/abs/2412.11491
