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	A simple and novel coupling method for CFD-DEM modeling with uniform kernel-based approximation 期刊论文 OAI收割 COMPUTATIONAL PARTICLE MECHANICS, 2024 作者: Zhang, Yan; Ren WL(任万龙); Li, Peng; Zhang XH(张旭辉); Lu XB(鲁晓兵) \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/12/02 CFD-DEM Multiphase flow Momentum exchange Kernel-based method
	Tree-based ensemble methods and their applications in analytical chemistry 期刊论文 OAI收割 trac-trends in analytical chemistry, 2012, 卷号: 40, 页码: 158-167 作者: Cao, Dong-Sheng; Xu, Qing-Song; Zhang, Liang-Xiao; Huang, Jian-Hua; Liang, Yi-Zeng 收藏 \| 浏览/下载：39/0 \| 提交时间：2015/11/09 Chemometrics Classification and regression tree (CART) Cluster analysis Complex data Ensemble algorithm Kernel method Outlier detection Pattern analysis Tree-based ensemble Variable selection
	Eight-neighborhood based background modeling (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012, August 24, 2012 - August 26, 2012, Xi'an, Shaan, China Yan L.; Ming D.; Lei J. 收藏 \| 浏览/下载：11/0 \| 提交时间：2013/03/25 In order to solve the Gaussian kernel density-based background modeling we propose a background modeling method based on an 8-neighborhood pixels sample set. In this method we use the target pixel and its surrounding 8-neighborhood pixels to analyze whether it is included in the background or in the foreground sample space. Experimental results show that the method can judge the object as the background interference caused by the cyclical movement. By practical verification the algorithm of the background modeling can full meet the requirements of the target detection algorithm. (2012) Trans Tech Publications Switzerland.
	Research of software re-injection technology for aerospace camera controller in-orbit (EI CONFERENCE) 会议论文 OAI收割 2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012, August 5, 2012 - August 8, 2012, Chengdu, China Xu W. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 For the factors of increased of tasks enhancements of functions and improvement of integrity and complexity in aerospace camera application system has raised high and long-term in-orbit autonomy and reliability requirements on camera controller. Based on an actual project application background this paper has put forward a design method of new high reliability aerospace camera controller in-orbit software reinjection instruction sequence which use TSC695F as kernel CPU and process flow of bootstrap receive cache checkout and storage update data. Finally combined with specific test module for camera controller software re-injection the validity of the software re-injection method raised here has been verified. Still here gives out reference codes of update data package which generated by the ground. 2012 IEEE.
	A parallel decomposition algorithm for training multiclass kernel-based vector machines 期刊论文 OAI收割 OPTIMIZATION METHODS & SOFTWARE, 2011, 卷号: 26, 期号: 3, 页码: 431-454 作者: Niu, Lingfeng; Yuan, Ya-Xiang \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2018/07/30 Kernel-based vector machines decomposition method projected gradient parallel algorithm
	Bootstrap loader design of aerospace payload controller based on TSC695F (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Computational Intelligence and Natural Computing, CINC 2010, September 13, 2010 - September 14, 2010, Wuhan, China Xu W.; Piao Y. 收藏 \| 浏览/下载：39/0 \| 提交时间：2013/03/25 Anti-radiation TSC695F is usually used as aerospace payload controller in tasks to ensure the aerospace payload having extremely high reliability in abominable space environment. The processor bases on SP ARC V7 architecture with parity check and EDAC so it could design out high reliable bootstrap loader to guarantee the operation system of VxWorks and application codes loaded correctly and worked stable and high effective. First this paper put forward the system hardware composition and boot mode which apply for aerospace payload then it makes clear the related contents of register group initialization stack initialization system hardware initialization in bootstrap loader of TSC695F and give out the method to establish TRAP table. That's all through comparing different type of organize mode of program image. After that compiling of target codes have been described and the kernel code of MakeFile had been given at the same time for reference aimed at the realization of engineering. Although this paper is based on TSC695F but it could be extended to other embedded system based on SP ARC for bootstrap loader analysis and design for example the TSC697 which based on SP ARC V8 with higher performance so this paper has extremely high engineering value. 2010 IEEE.
	An intelligent method for early design and decision of space payload (EI CONFERENCE) 会议论文 OAI收割 2010 1st IEEE International Conference on Progress in Informatics and Computing, PIC 2010, December 10, 2010 - December 12, 2010, Shanghai, China 作者: Han C.-S. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 This paper is concerned with the design and decision method of space payload in the early design phase. The objective is to develop a generalized intelligent framework to assist designers in designing space payload. A multi-level method is introduced which is based on the combination of case-based reasoning (CBR) multicriteria rough sets theory (MRST) and kernel-based self-organizing maps (KSOM). The first is CBR module which aims to help designers to obtain some similar cases of the new situation. The second is MRST module which can extract the decision rules of configuration seletion. The third is KSOM module which can reduce the variable range and design space of the space payload. The results demonstrate the effectiveness of the proposed design method. 2010 IEEE.
	Forecasting China's foreign trade volume with a kernel-based hybrid econometric-AI ensemble learning approach 期刊论文 OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2008, 卷号: 21, 期号: 1, 页码: 1-19 作者: Yu, Lean; Wang, Shouyang; Lai, Kin Keung \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/07/30 artificial neural networks error-correction vector auto-regression foreign trade prediction hybrid ensemble learning kernel-based method support vector regression