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- 저자 : Yunkai Sun (검색결과 2 건)
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Fatigue optimization with combined ensembles of surrogate modeling for a truck cab
Jianguang Fang,Yunkai Gao,Guangyong Sun,Chengmin Xu,Qing Li 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.11
In this study, we propose the ensembles of surrogates for an industrial application of fatigue optimization problem that aims to maximizea truck cab’s fatigue life. After validating the numerical model, different ensembles of surrogates comprised polynomial responsesurface (PRS), radial basis function (RBF) and Kriging (KRG) models are established to approximate the fatigue life function. A hybridPSO algorithm, which integrates the standard PSO with sequential quadratic programming (SQP), is implemented here to seek a quasiglobaloptimum. Compared with individual surrogates, the ensembles of surrogates can attain more competent optima and yield a smallersurrogate error at the optimal point. Moreover, the hybrid PSO technique proves to search the better optima than the standard PSO in thefatigue optimization problem considered. Finally, it is found that a more accurate surrogate model may not necessarily produce a betteroptimum for the ensembles of surrogates, thus multiple ensembles are recommended without increasing much extra computational cost.
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Zhihui Lan,Yunkai Sun,Lei Zhao,Yang Xiao,Changxiao Kuai,Shao-Wei Xue 대한신경정신의학회 2021 PSYCHIATRY INVESTIGATION Vol.18 No.8
Objective The connectivity alterations in the putamen were found in revealing the neural correlates of attention-deficit/hyperactivity disorder (ADHD), but whether the effective connectivity of the putamen is atypical in ADHD remains unclear. Investigating this abnormality contributes to describing the neural circuit of ADHD at the level of macrostructural organization. Methods Data were acquired from thirty-two boys with ADHD and fifty-two matched typically developing controls (TDC) from Peking University (Peking) dataset deposited at the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) platform. We examined the effective connectivity of the putamen using Granger causality analysis (GCA) and then determined whether these connections could differentiate ADHD from TDC. Results Compared with TDC, the ADHD group showed decreased effective connectivity from the left ventral rostral putamen (VRP) to left calcarine (CAL), right medial part of the superior frontal gyrus, left orbital part of superior frontal gyrus and left middle occipital gyrus (MOG). Increased effective connectivity from the left inferior occipital gyrus and right lingual gyrus to left VRP was also found in ADHD. The result of the classification accuracy showed that 72.3% of participants were correctly classified using support vector machine. Moreover, GCA values from the left VRP to left CAL and left MOG were significantly correlated with hyper/impulsive scores of patients with ADHD. Conclusion The findings may help extend our understanding of the ADHD-related neural loops.
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