Výsledky vyhledávání - "Kaisheng Zhang"

Akademický článek

Biological properties of Vibrio parahaemolyticus lytic phages and transcriptome analysis of their interactions with the host

Autor: Duanduan Chen, Zhiwei Wang, Xiangkai Li, Hongchi Du, Kaisheng Zhang, Shengliang Cao, Jianbiao Lu, Shuang Zhao, Hui Wang, Yubao Li

Publikováno v: Aquaculture Reports, Vol 39, Iss , Pp 102450- (2024)

Vibrio parahaemolyticus (V. parahaemolyticus) is an opportunistic pathogen primarily affecting aquaculture animals, leading to severe aquatic animal diseases and fatalities. Furthermore, the consumption of undercooked seafood contaminated with this s

Externí odkaz: https://doaj.org/article/1d32bdfc11b54393bffbd0ef7789dc89

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Akademický článek

A Bio-Inspired Drag Reduction Method of Bionic Fish Skin Mucus Structure

Autor: Pengfei Zhao, Xin Li, Zhengjie Luo, Qihang Zhai, Ye Tian, Kaisheng Zhang, Hao Guo

Publikováno v: Micromachines, Vol 15, Iss 3, p 364 (2024)

Efforts to enhance the speed and reduce the energy consumption of underwater vehicles have led to the proposal of a novel mucus release structure inspired by the secretion of mucus cells on fish skin. This structure features interconnected microgroov

Externí odkaz: https://doaj.org/article/2ed503c574d74bb4a6df99915b5f8326

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Akademický článek

RISE-Adaptive Neural Control for Robotic Manipulators With Unknown Disturbances

Autor: Shifen Shao, Kaisheng Zhang

Publikováno v: IEEE Access, Vol 8, Pp 97729-97736 (2020)

In this paper, a RISE-based adaptive neural network prescribed performance control is presented for the robotic manipulator with unknown disturbance. A prescribed performance function (PPF) characterizing settling time, overshoot, steady-state error,

Externí odkaz: https://doaj.org/article/1d2f218dd545411fab516a4c94b0eeef

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Akademický článek

An Improved Multisensor Self-Adaptive Weighted Fusion Algorithm Based on Discrete Kalman Filtering

Autor: Shifen Shao, Kaisheng Zhang

Publikováno v: Complexity, Vol 2020 (2020)

When the multisensor self-adaptive weighted fusion algorithm fuses the data sources that were severely interfered by noise, its fusion precision, data smoothness, and algorithm stability will be reduced. To overcome this drawback, the idea was propos

Externí odkaz: https://doaj.org/article/40c9f591556742feb43cf835bec8b40a

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Akademický článek

Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data

Autor: Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu

Publikováno v: Journal of Transport and Land Use, Vol 10, Iss 1 (2017)

With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relations

Externí odkaz: https://doaj.org/article/94a84955a3f04579b19ebeafce619cd9

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