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1,274 results on '"Xu, Yongjian"'

3. Scalable Multiple Patterning Layout Decomposition Implemented by a Distribution Evolutionary Algorithm

Author

Chen, Yu, Xu, Yongjian, and Xu, Ning

Subjects
Computer Science - Neural and Evolutionary Computing
Abstract

As the feature size of semiconductor technology shrinks to 10 nm and beyond, the multiple patterning lithography (MPL) attracts more attention from the industry. In this paper, we model the layout decomposition of MPL as a generalized graph coloring problem, which is addressed by a distribution evolutionary algorithm based on a population of probabilistic model (DEA-PPM). DEA-PPM can strike a balance between decomposition results and running time, being scalable for varied settings of mask number and lithography resolution. Due to its robustness of decomposition results, this could be an alternative technique for multiple patterning layout decomposition in next-generation technology nodes.

Published
2023

6. A Distribution Evolutionary Algorithm for the Graph Coloring Problem

Author

Xu, Yongjian, Cheng, Huabin, Xu, Ning, Chen, Yu, and Xie, Chengwang

Subjects
Computer Science - Neural and Evolutionary Computing, 68Q07
Abstract

Graph coloring is a challenging combinatorial optimization problem with a wide range of applications. In this paper, a distribution evolutionary algorithm based on a population of probability model (DEA-PPM) is developed to address it efficiently. Unlike existing estimation of distribution algorithms where a probability model is updated by generated solutions, DEA-PPM employs a distribution population based on a novel probability model, and an orthogonal exploration strategy is introduced to search the distribution space with the assistance of an refinement strategy. By sampling the distribution population, efficient search in the solution space is realized based on a tabu search process. Meanwhile, DEA-PPM introduces an iterative vertex removal strategy to improve the efficiency of $k$-coloring, and an inherited initialization strategy is implemented to address the chromatic problem well. The cooperative evolution of the distribution population and the solution population leads to a good balance between exploration and exploitation. Numerical results demonstrate that the DEA-PPM of small population size is competitive to the state-of-the-art metaheuristics.utes to its competitiveness to the state-of-the-art metaheuristics.

Published
2022

7. Effects of resonant magnetic perturbations on neutral beam heating in a tokamak

Author

Hu, Youjun, Xu, Yingfeng, Hao, Baolong, Li, Guoqiang, He, Kaiyang, Sun, Youwen, Li, Li, Wang, Jinfang, Huang, Juan, Ye, Lei, Xiao, Xiaotao, Wang, Feng, Pan, Chengkang, and Xu, Yongjian

Subjects
Physics - Plasma Physics
Abstract

Effects of resonant magnetic perturbations (RMPs) on tangential neutral beam heating in the EAST tokamak are studied numerically. RMPs with linear resistive magnetohydrodynamics response are used in the modeling. A variety of representing configurations of RMP coil currents are examined and their effects on the NBI heating efficiency are compared, in order to find a parameter window where deleterious effects of RMPs on NBI heating efficiency are minimized. It is found that the internal redistribution of fast ions by RMPs induces local accumulation of fast ions, resulting in higher local fast ion pressure than the case without RMPs. It is also found that the toroidal phasing of the RMP with respect to the fast ion source has slight effects on the steady-state radial profile of fast ions. The dependence of fast ion loss fraction on the RMP up-down phase difference shows similar behavior as the dependence of the radial width of chaotic magnetic field on the phase difference. A statistical method of identifying resonances between RMPs and lost fast ions is proposed and the results indicate that some resonances between RMPs and lost passing particles may be of non-integer fractional order, rather than the usual integer order.

Published
2021
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12. A Cuckoo Quantum Evolutionary Algorithm for the Graph Coloring Problem

Author

Xu, Yongjian and Chen, Yu

Subjects
Computer Science - Neural and Evolutionary Computing
Abstract

Based on the framework of the quantum-inspired evolutionary algorithm, a cuckoo quantum evolutionary algorithm (CQEA) is proposed for solving the graph coloring problem (GCP). To reduce iterations for the search of the chromatic number, the initial quantum population is generated by random initialization assisted by inheritance. Moreover, improvement of global exploration is achieved by incorporating the cuckoo search strategy, and a local search operation, as well as a perturbance strategy, is developed to enhance its performance on GCPs. Numerical results demonstrate that CQEA operates with strong exploration and exploitation abilities, and is competitive to the compared state-of-the-art heuristic algorithms.

Published
2021

14. Heterogeneities and impact profiles of early chronic obstructive pulmonary disease status: findings from the China Pulmonary Health Study

Author

Lei, Jieping, Huang, Ke, Wu, Sinan, Xu, Jianying, Xu, Yongjian, Zhao, Jianping, Zhang, Xiangyan, Bai, Chunxue, Song, Yuanlin, Kang, Jian, Ran, Pixin, Zhou, Yumin, Shen, Huahao, Wen, Fuqiandg, Huang, Kewu, Chen, Yahong, Yao, Wanzhen, Sun, Tieying, Lin, Yingxiang, Zhu, Jianguo, Shan, Guangliang, Yang, Ting, and Wang, Chen

Published
2024
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40. Associations of residential greenness with lung function and chronic obstructive pulmonary disease in China

Author

Xiao, Yalan, Gu, Xiaoying, Niu, Hongtao, Meng, Xia, Zhang, Lina, Xu, Jianying, Yang, Lan, Zhao, Jianping, Zhang, Xiangyan, Bai, Chunxue, Kang, Jian, Ran, Pixin, Shen, Huahao, Wen, Fuqiang, Huang, Kewu, Chen, Yahong, Sun, Tieying, Shan, Guangliang, Lin, Yingxiang, Wu, Sinan, Zhu, Jianguo, Wang, Ruiying, Shi, Zhihong, Xu, Yongjian, Ye, Xianwei, Song, Yuanlin, Wang, Qiuyue, Zhou, Yumin, Ding, Liren, Li, Diandian, Yao, Wanzhen, Guo, Yanfei, Xiao, Fei, Lu, Yong, Peng, Xiaoxia, Zhang, Biao, Xiao, Dan, Wang, Zuomin, Zhang, Hong, Bu, Xiaoning, Zhang, Xiaolei, An, Li, Zhang, Shu, Cao, Zhixin, Zhan, Qingyuan, Yang, Yuanhua, Liang, Lirong, Cao, Bin, Dai, Huaping, Wu, Tangchun, He, Jiang, Kan, Haidong, Chen, Renjie, Yang, Ting, and Wang, Chen

Published
2022
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41. Effects of partial lignin extraction on rheological characteristics and combustion performance of high solids bamboo kraft black liquor.

Author

Guo, Kangkang, Xu, Yongjian, Chen, Xin, and Yin, Xuefeng

Subjects
*SULFATE waste liquor, *SULFATE pulping process, *COMBUSTION efficiency, *RHEOLOGY, *BOILER efficiency
Abstract

This study investigates the impact of lignin extraction on the rheological and combustion properties of high-solids bamboo kraft black liquor (BKBL), focusing on viscosity reduction and silicon interference mitigation. Lignin was extracted from BKBL using CO2 acid precipitation. The effects on viscosity, silicon content, calorific value, and Volumetric Isothermal Expansivity (VIE) were systematically analyzed. Extracting 25 % of lignin reduced the apparent viscosity of BKBL and achieved a 33 % desilication rate. However, this extraction also led to a proportional decrease in calorific value and VIE, with a 15 % extraction resulting in approximately 11 % and 13 % reductions, respectively. An extraction rate of 15–25 % is recommended to balance viscosity reduction and silicon removal with minimal impact on boiler combustion efficiency. This study provides practical insights into optimizing lignin extraction from BKBL, offering significant operational, economic, and environmental benefits for the bamboo kraft pulping industry. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Ship Detection in SAR Images Based on an Improved Detector with Rotational Boxes

Author

Ding, Xiaowei, Hou, Changbo, Xu, Yongjian, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Xiong, Jinbo, editor, Wu, Shaoen, editor, Peng, Changgen, editor, and Tian, Youliang, editor

Published
2021
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48. Association of fine particulate matter air pollution and its constituents with lung function: The China Pulmonary Health study

Author

Yang, Ting, Chen, Renjie, Gu, Xiaoying, Xu, Jianying, Yang, Lan, Zhao, Jianping, Zhang, Xiangyan, Bai, Chunxue, Kang, Jian, Ran, Pixin, Shen, Huahao, Wen, Fuqiang, Huang, Kewu, Chen, Yahong, Sun, Tieying, Shan, Guangliang, Lin, Yingxiang, Wu, Sinan, Zhu, Jianguo, Wang, Ruiying, Shi, Zhihong, Xu, Yongjian, Ye, Xianwei, Song, Yuanlin, Wang, Qiuyue, Zhou, Yumin, Ding, Liren, Yao, Wanzhen, Guo, Yanfei, Xiao, Fei, Lu, Yong, Peng, Xiaoxia, Zhang, Biao, Xiao, Dan, Wang, Zuomin, Zhang, Hong, Bu, Xiaoning, Zhang, Xiaolei, An, Li, Zhang, Shu, Cao, Zhixin, Zhan, Qingyuan, Yang, Yuanhua, Liang, Lirong, Cao, Bin, Dai, Huaping, van Donkelaar, Aaron, Martin, Randall V., Wu, Tangchun, He, Jiang, Kan, Haidong, and Wang, Chen

Published
2021
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