中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文  OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11
作者:  
Peng, Xinyu;  Wang, Fei-Yue;  Li, Li
  |  收藏  |  浏览/下载:29/0  |  提交时间:2022/06/06
Experimental study on Jet-A pool fire at high altitude 会议论文  OAI收割
11th International Symposium on Fire Safety Science, FSS 2014, Canterbury, New zealand, February 10, 2014 - February 14, 2014
作者:  
Zhou ZH;  Yao W(姚卫);  Li HH;  Lin CH;  Yin J
收藏  |  浏览/下载:31/0  |  提交时间:2017/05/27
Auxiliary stream for optimizing memory access of video decoders 期刊论文  OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2014, 卷号: 57, 期号: 1
作者:  
Liu Shaoli;  Li Ling;  Chen Yunji;  Hu Weiwu
  |  收藏  |  浏览/下载:15/0  |  提交时间:2023/12/04
Design of controlling system in multi-function durability testing device for vehicle vacuum booster with brake master cylinder (EI CONFERENCE) 会议论文  OAI收割
2012 International Conference on Mechanical and Electronic Engineering, ICMEE 2012, June 23, 2012 - June 24, 2012, Hefei, China
Hao X.; Zhang R.; Li X.; Wang M.
收藏  |  浏览/下载:38/0  |  提交时间:2013/03/25
The quality of vehicle vacuum booster with brake master cylinder is related to the safe of drivers and automobiles. The testing experiment must be executed strictly before leaving factory based on the national standards.The paper introduces the controlling system of multi-function durability testing device  which is designed for doing durable testing experiments and Anti-lock braking system (ABS) performance experiments. The structure and theory of device is presented. The controlling system is illuminated in detail. To test the dynamic property  this system was identified by a recursive BP neural network. According to the character of a great deal of sensors and actuators  the high precision  capabilities and reliability  the distributed control mode (DCS) including the computer and PLC by RS-485 bus is utilized. The four channels testing experiments are achieved at the same time. The test data is directly memorized into the computer. The results of general endurance and ABS endurance testing experiments are shown to demonstrate the excellent performance of the testing device. 2012 Springer-Verlag Berlin Heidelberg.  
Modular aircraft simulation platform based on simulink (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, August 4, 2010 - August 7, 2010, Xi'an, China
Chen C.-Q.; Ji Y.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Aircraft simulation platform is the most important supporting technology in the aircraft development process. This simulation platform can be used for validating the design of subsystem and also it provides the necessary data for the Aircraft design. Wind has great impact on the flight parameter. In order to accurately simulate the wind model and calculate the flight parameters  a simulation modeling method for flight parameter simulation platform under wind field environment is established. Firstly  the various sub-systems which affecting flight parameters are analyzed  some mathematical models of the flight parameter simulation platform is established. Secondly  the atmospheric wind field is studied to analyze the impact on its trajectory. Then the model is built in the Simulink toolbox in the Matlab which is based on the principles of hierarchy and modularity  using C MEX S-function for the complex kinetic equations. Finally  when the models have been established  encapsulating models for several subsystem and assembling them for the Aircraft simulation platform based on the unified interface. The simulation tests (including the performance test of a certain gliding Aircraft  the wind influence test of a certain uncontrolled aircraft) prove the simulation capability of the platform  and its calculating step can reach 1 ms. Comparing simulation with field test data of a certain uncontrolled aircraft  it shows that the relative deviation of range is 0.47%  the relative deviation of maximal altitude is 2.1%. Taking relevant standards as a reference standard  it is demonstrated the platform is reliable  meets the engineering accuracy requirements. 2010 IEEE.