中国科学院机构知识库网格系统: 检索

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	Three-dimensional numerical study of a kitchen extractor adopting nearby pumping method 会议论文 OAI收割 2012 International Conference on Material Sciences and Manufacturing Technology, ICMSMT 2012, Dalian, China, OCT 05-06, 2012 作者: Deng J(邓晶); Hong CG; Wang GQ(王贵全); Sheng HZ(盛宏至); Deng J(邓晶) 收藏 \| 浏览/下载：51/0 \| 提交时间：2013/02/26 Computational fluid dynamics Computer simulation Efficiency Kitchens Manufacture Materials science Pumps Collection efficiency Computational Fluid Dynamics software Energy cost Gas films Negative pressures Numerical results Optimum designs Particular distribution Positive pressure Pumping effect Pumping mechanism Pumping methods Third generation
	Study of experimental design and Response Surface method for surrogate model of computational simulation (EI CONFERENCE) 会议论文 OAI收割 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China Xi R.; Jia H.; Xiao Q. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 While the high-precision simulation is widely used in science and technology Design of Experiment (DOE) based on Response Surface (RS) method can be employed in surrogate model to reduce the cost and error. In order to illustrate the relationship between parameters and response features several DOE methods and Response Surface (RS) method are studied. The author used polynomial regression and RBF neural network based on orthogonal array to build a rocket aerodynamic discipline surrogate model respectively which proved their feasibility. From the results of the test case conclusion is drawn that characteristic as well as acclimatization of DOE methods and different approximation should be considered for different issues so the factors of cost and accuracy could reach a balance synthetically. 2011 IEEE.
	Chang'E-1 Lunar Mission: An Overview and Primary Science Results 期刊论文 OAI收割 Chinese Journal of Space Science , 2010, 卷号: 30, 期号: 5, 页码: 392-403 Ouyang Ziyuan; Li Chunlai; Zou Yongliao 收藏 \| 浏览/下载：34/0 \| 提交时间：2011/11/23 Chang'E-1 Lunar probe Science results China's Lunar Exploration Program Moon
	Level 0 and level 1 data processing for a type of hyper-spectral imager (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 21, 2009, Shanghai, China Li X.; Yan C. 收藏 \| 浏览/下载：74/0 \| 提交时间：2013/03/25 Hyper-spectral imaging (HSI) is a kind of optical remote sensor that can simultaneously obtain spatial and spectral information of ground targets. We are now designing a data processing system for a type of space-borne push-broom HSI then it performs radiometric and spectral calibration based on the ground calibration results and onboard calibration collection. The detailed algorithms for bad pixel replacement which has 128 spectral channels covering the spectral range from 400nm to 2500nm. With its large amount of spectral channels radiometric and spectral calibration were presented. After processing the HSI collects large volume of spectral imaging data need to be efficiently and accurately processed and calibrated. In this paper the digital numbers downlinked from the spacecraft can be converted into at-sensor absolute spectral radiance of ground targets the detailed Level 0 and Level 1 data processing steps for the HSI were presented. The Level 0 processing refers to a set of tasks performed on the data downlinked from the spacecraft thus providing accurate quantified spectral imaging data for various applications. 2009 SPIE. including decoding to extract science data separating the science data into files corresponding to different tasks (e.g. ground imaging dark imaging and onboard calibration) checking data integrity and instrument settings data format conversion and Level 0 files creation. The Level 1 processing performs several steps on Level 0 data. Firstly it corrects the image artifacts (mostly the SWIR smear effect) subtracts the dark background and performs the bad pixel replacement according to the prelaunch measurement
	Mental imagery knowledge representation mode of human-level intelligence system (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, July 14, 2009 - July 16, 2009, Gold Coast, QLD, Australia 作者: Zhang D.; Zhang D. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 For the human-level intelligence simulation we should simulate it from the essence of intelligence and with the research results of brain science cognitive science artificial intelligence and others. In our study a mental imagery knowledge representation mode had been established based on cognitive mechanism of human. Two kinds of table named mental imagery concept attributes table and concept attribute value ranges table had been used together to represent mental imagery knowledge in system. Mental imagery concept attributes table which formed by the thought of concept lattice was used to decide relations among concepts and attributes under the circumstance of coarse granularity. While concept attribute value ranges table was used to record differences of individual objects belong to the same concept under the circumstance of fine granularity. The concrete structured method of tables and decision-making process of system were described in the paper. Finally the validity and feasibility of the knowledge representation mode are illustrated with real examples. 2009 Springer Berlin Heidelberg.