中国科学院机构知识库网格系统: 检索

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	Estimation of Young's modulus for rocks using a non-invasive CSAMT method 期刊论文 OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2024, 卷号: 83, 期号: 11, 页码: 19 作者: Hasan, Muhammad; Shang, Yanjun; Di, Qingyun; Meng, Qingsen \| 收藏 \| 浏览/下载：6/0 \| 提交时间：2024/12/04 Young's modulus (E) Geomechanical parameters Geophysical methods Controlled-source audio-frequency magnetotellurics (CSAMT) Engineering structures Geotechnical model
	Characteristics of wave propagation in thermoelastic medium 期刊论文 OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 卷号: 64, 期号: 4, 页码: 1364-1374 作者: Hou WanTing; Fu LiYun; Wei Jia; Wang ZhiWei \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2021/10/19 Thermoelastic medium Propagation of elastic wave Dispersion analysis Green's function Numerical simulation Influence of thermal medium parameters
	On Using Inspiraling Supermassive Binary Black Holes in the PTA Frequency Band as Standard Sirens to Constrain Dark Energy 期刊论文 OAI收割 The Astrophysical Journal, 2020, 卷号: 889, 期号: 2 作者: Yan,Changshuo; Zhao,Wen; Lu,Youjun \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2020/03/10 Supermassive black holes Gravitational waves Gravitational wave astronomy Dark energy Cosmological parameters Active galactic nuclei Fisher's Information Black hole physics Pulsar timing method
	Performance Evaluation and Improvement of Chipset Assembly & Test Production Line Based on Variability 期刊论文 OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 186-198 作者: Chang-Jun Li; Zong-Shi Xie; Xin-Ran Peng; Bo Li \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/02/22 Performance evaluation and improvement chipset assembly & test production line (CATPL) parameters Little′s law variability.
	Configuration optimization and kinematic analysis of a wearable exoskeleton arm 会议论文 OAI收割 2017 International Conference on Robotics and Automation Sciences, ICRAS 2017, Hong Kong, Hong kong, August 26-29, 2017 作者: Wang, Xuelin; Ding QC(丁其川); Xiao, Yongfei; Zhu, Yunhai; Zhao, Yongguo \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2018/01/15 s-wearable exoskeleton robots design parameters optimal configuration singularity workspace
	Structural design and simulation analysis of ejector used in automotive power steering oil discharge equipment (EI CONFERENCE) 会议论文 OAI收割 2012 International Conference on Mechanical Engineering, Materials Science and Civil Engineering, ICMEMSCE 2012, August 18, 2012 - August 20, 2012, Harbin, China Cheng K.; Zou H.; Kong X.; Tang J. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The structure of ejector used in automotive power steering oil discharge equipment is designed in accordance with the theory of gas-liquid ejector.The two important parameters of the ejector are elected respectively to five values and then 25 ejector models are obtained by the permutations and combinations.The ejector's CFD model is created by Fluent module of Ansys then it is divided into a grid and analyzed. Analyse its pressure distribution and velocity vector which provides the optimal size for the manufacture of the ejectors and a theoretical basis for experiment. (2013) Trans Tech Publications Switzerland.
	Moving target detection and classification using spiking neural networks (EI CONFERENCE) 会议论文 OAI收割 2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011, October 23, 2011 - October 25, 2011, Xi'an, China 作者: Sun H.; Wang Z.; Wang Z.; Wang P.; Sun H. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 We proposed a spiking neural network (SNN) to detect moving target in video streams and classify them into real categorization in this paper. The proposed SNN uses spike trains to encoding information such as the gray value of pixels or feature parameters of the target detects moving target by simulating the visual cortex for motion detection in biological system with axonal delays and classify them into different categorizations according to their distance to categorization's centers found by Hebb learning rule. The experimental results show that the proposed SNN is promising in intelligence computation and applicable in general visual surveillance system. 2012 Springer-Verlag.
	Determination of optimum process parameters in gas-assisted injection molding (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electrical Information and Mechatronics, ICEIM2011, December 23, 2011 - December 25, 2011, Jiaozuo, China Zi K.; Chen L. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 With finite element analysis software Moldflow numerical simulation and studies about FM truck roof handle were conducted on gas-assisted injection molding process. The influences of melt pre-injection shot gas pressure delay time and melt temperature were observed by using multi-factor orthogonal experimental method. According to the analysis of the factors' impact on evaluation index the optimized parameter combination is obtained. Therefore the optimization design of technological parameters is done. The results show that during the gas-assisted injection molding optimum pre-injection shot is 94% gas pressure is 15MPa delay time is 0.5s melt temperature is 240 C. This study provided a more practical approach for the gas-assisted injection molding process optimization.