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RISS 인기검색어
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- 저자 : ( Zhicheng Nie ) (검색결과 3 건)
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A new visual tracking approach based on salp swarm algorithm for abrupt motion tracking
( Huanlong Zhang ),( Junfeng Liu ),( Zhicheng Nie ),( Jie Zhang ),( Jianwei Zhang ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.3
Salp Swarm Algorithm (SSA) is a new nature-inspired swarm optimization algorithm that mimics the swarming behavior of salps navigating and foraging in the oceans. SSA has been proved to enable to avoid local optima and enhance convergence speed benefiting from the adaptive nonlinear mechanism and salp chains. In this paper, visual tracking is considered to be a process of locating the optimal position through the interaction between leaders and followers in successive images. A novel SSA-based tracking framework is proposed and the analysis and adjustment of parameters are discussed experimentally. Besides, the qualitative analysis and quantitative analysis are performed to demonstrate the tracking effect of our proposed approach by comparing with ten classical tracking algorithms. Extensive comparative experimental results show that our algorithm has good performance in visual tracking, especially for abrupt motion tracking.
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An adaptive marine predator algorithm based optimization method for hood lightweight design
Zhang Chenglin,He Zhicheng,Li Qiqi,Chen Yong,Chen Shaowei,NIE XINYU 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.3
The lightweight design of the hood is crucial for the structural optimization of an entire vehicle. However, traditional high-fidelity-based lightweight methods are time-consuming due to the complex structures of the hood, and the lightweight results heavily rely on engineering experiences. To this end, an improved adaptive marine predator algorithm (AMPA) is proposed to solve this problem. Compared to the original marine predator algorithm (MPA), the proposed AMPA adapts to optimization problems through three enhancements, including chaotic theory-based initialization, a mixed search strategy, and dynamic partitioning of iteration phases. Experimental comparisons of AMPA, MPA, and eight state-of-the-art algorithms are conducted on IEEE CEC2017 benchmark functions. AMPA outperforms the others in both 30- and 50-dimensional experiments. Friedman and Wilcoxon’s sign-rank tests further confirm AMPA’s superiority and statistical significance. An implicit parametric model of the hood is generated, and the critical design variables are determined through global sensitivity analysis to realize hood lightweight. The stacking method is employed to construct a surrogate meta-model of the hood to accelerate the optimization efficiency of the vehicle hood. Utilizing the meta-model and the proposed AMPA, the hood mass is reduced by 7.43% while all six static and dynamic stiffness metrics are enhanced. The effectiveness of the proposed optimization method is validated through finite element analysis.
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Local Joule heating targets catalyst surface for hydrocarbon combustion
Qian Xiong,Xingbao Zhu,Ri He,Xueyi Mei,Yexin Zhang,Zhicheng Zhong,Wei Zhao,Weiming Nie,Jian Zhang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.117 No.-
Most industrial catalytic reactions are achieved by external heating and catalysts are entirely heated tooffer enough thermal energy to surface active sites. However, there is an inherent drawback that mostinput energy is dissipated into the bulk while minor is donated to the surface, leading to high energywaste. Here, we proposed a so-called local Joule heating method via passing an electric current throughpacked catalyst nanoparticles with a large contact resistance, which can generate sufficient heat to targetat the surface region. We selected hydrocarbon combustion, a common way to eliminate unburned pollutants,as a probe reaction and used the conductive antimony-doped tin oxide (ATO) as a model catalyst. Compared with traditional external heating, this method consumed one order lower energy input,reduced the macroscopically average temperature for same conversion by 100 C, improved the durabilitywith smaller activity loss within 100 h operation, and suppressed water poisoning effect by 60 %. Also, the combustion was sparked in seconds by pulsing electric current into the catalyst bed, allowing anapplication in prompt treatment of leaked hydrocarbons. The local Joule heating between contactednanoparticles, which could focus thermal energy on catalyst surface, is prospective to improve catalysisefficiency.
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