中国科学院机构知识库网格系统: 检索

Thermomechanical Analysis of the Structure Components of 15 T Magnet in Super-X Facility 期刊论文 OAI收割
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2024, 卷号: 34
作者: Wu, Yongsheng; Han, Houxiang; Wu, Lei; Shi, Yi; Wu, Yu

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收藏 | 浏览/下载：9/0 | 提交时间：2024/11/22

Superconducting magnets Magnetomechanical effects Magnetic analysis Superconductivity Stress Thermal loading Steady-state Background magnet comprehensive research facility for fusion technology (CRAFT) mechanical analysis super-X

Application of Cognitive Bias Testing in neuropsychiatric disorders: A Mini-Review based on animal studies 期刊论文 OAI收割
Frontiers in behavioral neuroscience, 2022, 卷号: 16, 页码: 16:924319
作者: Yu-Han Zhang; Ning Wang; Xiao-Xiao Lin; Jin-Yan Wang; Fei Luo

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收藏 | 浏览/下载：39/0 | 提交时间：2022/08/01

affective state animal research application cognitive bias test interpretation bias memory bias.

Research Progress on Femtosecond Laser Drilling of Cooling Holes in Aeroengines 会议论文 OAI收割
Shenzhen, PEOPLES R CHINA, 2016-12-30
作者: Hou, Xueqin; Zhang, Zheng; Liu, Xinling; Yang, Yong; Hou, XQ (reprint author), Beijing Inst Aeronaut Mat, AVIC Failure Anal Ctr, Beijing 100095, Peoples R China.

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收藏 | 浏览/下载：18/0 | 提交时间：2018/01/03

Femtosecond Laser Drilling Cooling Hole Aeroengine Research State Challenge

Ionic liquid-based green processes for energy production 期刊论文 OAI收割
CHEMICAL SOCIETY REVIEWS, 2014, 卷号: 43, 期号: 22, 页码: 7838-7869
作者: Zhang, Suojiang; Sun, Jian; Zhang, Xiaochun; Xin, Jiayu; Miao, Qingqing

收藏 | 浏览/下载：33/0 | 提交时间：2014/12/01

SENSITIZED SOLAR-CELLS GAS SHIFT REACTION DOUBLE-LAYER CAPACITANCE RESEARCH-AND-DEVELOPMENT SOLID-STATE ELECTROLYTE N-HETEROCYCLIC CARBENE REDOX FLOW BATTERIES CARBON-DIOXIDE FORMIC-ACID LIGNOCELLULOSIC BIOMASS

AUTONOMOUS INTEGRATED NAVIGATION USING X-RAY PULSARS AND ASTEROIDS 会议论文 OAI收割
63rd International Astronautical Congress 2012, IAC 2012, Naples, Italy, 2012
Yang Chengwei; Gao Dong; Zheng Jianhua

收藏 | 浏览/下载：39/0 | 提交时间：2014/04/30

To improve the navigation performance of the spacecraft during interplanetary cruise a novel integrated navigation system is proposed. For X-ray pulsar navigation (XNAV) is a hot and prospective research subject and the optical navigation using asteroids is practical in space engineering we designed an autonomous navigation system using one X-ray detector and one navigation camera. The measurement models of the XNAV based on the time difference of arrival and the optical navigation based on the images of asteroids are presented. To enhance practicality the X-ray pulsars and asteroids are observed by turns. The batch least square filter used by Deep Space I is adopted to estimate the system state. The numerical simulation results show that the integrated navigation is feasible on the interplanetary cruise orbit. Moreover compared with the XNAV and the optical navigation the integrated navigation system can provide higher navigation performance.

Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文 OAI收割
International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China
作者: Zhang X.; Zhang J.; Zhang J.; Zhang X.; Zhang X.

收藏 | 浏览/下载：68/0 | 提交时间：2013/03/25

Vision-based human action recognition provides an advanced interface and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set but also proves practical to some real world applications in addition this method is computationally simple and able to achieve a satisfactory accuracy.

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：60/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Flow state analysis on abrasive motion of centrifugal grinding under different working conditions 会议论文 OAI收割
16th Conference of Abrasive Technology in China, Urumqi, China, AUG 07-10, 2011
作者: Wang HC; Zhang DL(张德良); Fang X(方新)

收藏 | 浏览/下载：32/0 | 提交时间：2013/02/26

Behavioral research Centrifugation Grinding (comminution) Grinding (machining) Lapping Two phase flow Abrasive grains Centrifugal grinding Design and technology Flow state Flowing analysis Working conditions Working quality

The stripper design and test at HIRFL-CSR 期刊论文 OAI收割
NUCLEAR SCIENCE AND TECHNIQUES, 2010, 卷号: 21, 期号: 4, 页码: 237-240
作者: Xu Hushan; Zhao Tiecheng; Mao Ruishi; Lu Ziwei; Li Zhankui

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收藏 | 浏览/下载：27/0 | 提交时间：2011/04/20

Heavy Ion Research Facility and Cooling Storage Ring at Lanzhou Stripper section Stripping efficiency Charge state distribution Charge Stripping injection

Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文 OAI收割
2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China
Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform visual guidance intelligent vehicle JLUIV-5 is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model and two-degree steering dynamic model of vehicle the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results carry out in Jilin University Nanling Campus and Culture Center of Jilin Province show that the image identify algorithms and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.