Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zhibo Zhai"'
Autor:
Xiang Liu, Xuanqi Li, Chunjie Yang, Hongbo Kang, Zhibo Zhai, Yuhao Cui, Wenjie Qi, Binhui Han, Fuxi Liu
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
This paper studies the effect of the dimple cross-sectional profile on the behavior of gas parallel slider bearings using the numerical method. The numerical method is performed in MATLAB software. The influence of geometrical parameters of dimples o
Externí odkaz:
https://doaj.org/article/ab0deb9fd0614d59987abd2967b454e5
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5625-5634 (2021)
In this paper, we introduce a class of stochastic harvesting population system with Fractional Brownian Motion (FBM), which is still unclear when the stochastic noise has the character of memorability. Stochastic optimal control problems with FBM can
Externí odkaz:
https://doaj.org/article/8c18524e61974e1399f5047c7e739c74
Publikováno v:
Sensors, Vol 23, Iss 2, p 1041 (2023)
In order to address the shortcomings of the traditional bidirectional RRT* algorithm, such as its high degree of randomness, low search efficiency, and the many inflection points in the planned path, we institute improvements in the following directi
Externí odkaz:
https://doaj.org/article/bceb2a2e90dc4ef98ef1af38c7c02a8a
Autor:
Yuanyuan Zhang, Zhibo Zhai
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0250205 (2021)
Satellite communication has played an important part in many different industries because of its advantages of wide coverage, strong disaster tolerance and high flexibility. The security of satellite communication systems has always been the concern
Externí odkaz:
https://doaj.org/article/77e373e7a5d44dce9b9bd049cd9ec2a5
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
The prominent shortcoming of the basic artificial raindrop algorithm in UAV route planning is easily trapped into local optimal solution. In the present work, the original artificial raindrop algorithm is improved. A Balwin-teaching-learning-based ar
Autor:
Xiliang Zhang, Shengjia Gai, Tao Liu, Yindong Shi, Yanhui Wang, Qian Zhou, Zhenguo Xing, Hongji Liu, Zhibo Zhai
Publikováno v:
Materials Characterization. 197:112650
Publikováno v:
Signal Processing: Image Communication. 111:116897
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5625-5634 (2021)
In this paper, we introduce a class of stochastic harvesting population system with Fractional Brownian Motion (FBM), which is still unclear when the stochastic noise has the character of memorability. Stochastic optimal control problems with FBM can
Publikováno v:
2020 International Conference on Intelligent Design (ICID).
The currently Multi-Objective Teaching-Learning-Based Optimization (MOTLBO) only can obtain a well-distributed solution set on several bi-objective problems. To tri-objective or more problems, however, it is quite difficult to achieve optimal solutio
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2015, Vol. 29 Issue 6, p2345-2356. 12p.