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| 1 | Stochastic structural optimization using particle swarm optimization, surrogate models and Bayesian statistics显示文摘This paper focuses on a method to solve structural optimization problems using particle swarm optimization (PSO), surrogate models and Bayesian statistics. PSO is a random/stochastic search algorithm designed to find the global optimum. However, PSO needs many evaluations compared to gradient-based optimization. This means PSO increases the analysis costs of structural optimization. One of the methods to reduce computing costs in stochastic optimization is to use approximation techniques. In this work, surrogate models are used, including the response surface method (RSM) and Kriging. When surrogate models are used, there are some errors between exact values and approximated values. These errors decrease the reliability of the optimum values and discard the realistic approximation of using surrogate models. In this paper, Bayesian statistics is used to obtain more reliable results. To verify and confirm the efficiency of the proposed method using surrogate models and Bayesian statistics for stochastic structural optimization, two numerical examples are optimized, and the optimization of a hub sleeve is demonstrated as a practical problem. | Jongbin Im Jungsun Park | 2013 | Chinese Journal of Aeronautics2013，26，1： | 6 |
| 2 | Stochastic particle based models for suspended particle movement in surface flows显示文摘Modeling of suspended sediment particle movement in surface water can be achieved by stochastic particle tracking model approaches.In this paper,different mathematical forms of particle tracking models are introduced to describe particle movement under various flow conditions,i.e.,the stochastic diffusion process,stochastic jump process,and stochastic jump diffusion process.While the stochastic diffusion process can be used to represent the stochastic movement of suspended particles in turbulent flows,the stochastic jump and the stochastic jump diffusion processes can be used to describe suspended particle movement in the occurrences of a sequence of extreme flows.An extreme flow herein is defined as a hydrologic flow event or a hydrodynamic flow phenomenon with a low probability of occurrence and a high impact on its ambient flow environment.In this paper,the suspended sediment particle is assumed to immediately follow the extreme flows in the jump process(i.e.the time lag between the flow particle and the sediment particle in extreme flows is considered negligible).In the proposed particle tracking models,a random term mainly caused by fluid eddy motions is modeled as a Wiener process,while the random occurrences of a sequence of extreme flows can be modeled as a Poisson process.The frequency of occurrence of the extreme flows in the proposed particle tracking model can be explicitly accounted for by the Poisson process when evaluating particle movement.The ensemble mean and variance of particle trajectory can be obtained from the proposed stochastic models via simulations.The ensemble mean and variance of particle velocity are verified with available data.Applicability of the proposed stochastic particle tracking models for sediment transport modeling is also discussed. | Christina W.TSAI Chuanjian MAN Jungsun OH | 2014 | International Journal of Sediment Research2014，29，2： | 6 |
| 3 | Epidemiologic psychiatric studies on post‐disaster impact among Chi‐Chi earthquake survivors in Yu‐Chi, Taiwan显示文摘 | FRANK HUANG‐CHIHCHOU HUNG‐CHIWU PESUSCHOU CHAO‐YUEHSU KUAN‐YITSAI SHIN‐SHINCHAO MING‐CHAOCHEN TOM TUNG‐PINGSU WEN‐JUNGSUN WEN‐CHENOU‐YANG | 2007 | Psychiatry and Clinical Neurosciences2007，，4： | 1 |
| 4 | Geometric optimization in presence of contact singularities显示文摘 | Jungsun P Anderson W J | 1995 | AIAA J1995，33，8： | 1 |
| 5 | Th9 cells promote antitumor immune responses in vivo显示文摘 | Lu Yong Hong Sungyoul Li Haiyan Park Jungsun Hong Bangxing Wang Lijuan Zheng Yuhuan Liu Zhiqiang Xu Jingda He Jin Yang Jing Qian Jianfei Yi Qing | 2012 | EN2012，，11： | 1 |
| 6 | Delayed flowering time in Arabidopsis and Brassica rapa by the overexpression of FLOWERING LOCUS C (FLC) homologs isolated from Chinese cabbage (Brassica rapa L. ssp. pekinensis)显示文摘 | Soo-Yun Kim Beom-Seok Park Soo-Jin Kwon Jungsun Kim Myung-Ho Lim Young-Doo Park Dool Yi Kim Seok-Chul Suh Yong-Moon Jin Ji Hoon Ahn Yeon-Hee Lee | 2007 | Plant Cell Reports2007，，3： | 1 |
| 7 | Delayed flowering time in Arabidopsis and Brassica rapa by the overexpression of FLOWERING LOCUS C (FLC) homologs isolated from Chinese cabbage (Brassica rapa L. ssp. pekinensis)显示文摘 | Soo-Yun Kim Beom-Seok Park Soo-Jin Kwon Jungsun Kim Myung-Ho Lim Young-Doo Park Dool Yi Kim Seok-Chul Suh Yong-Moon Jin Ji Hoon Ahn Yeon-Hee Lee | 2007 | Plant Cell Reports2007，，3： | 1 |
| 8 | Pec- tin-like acidic polysaccharide from Panax ginseng with selective antiadhesive activity against pathogen- ic bacteria显示文摘 | Lee Jihye Shim Jinsun Lee Jungsun | 2006 | Carbohydrate Research2006，341，9： | 1 |
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