中国科学院机构知识库网格系统: 检索

On the Theoretical Properties and Experimental Detection of Dark Matter Axions 期刊论文 OAI收割
ASTRONOMISCHE NACHRICHTEN, 2025, 页码: 12
作者: Gao, Zhi-Fu; Li, Biao-Peng; Garcia de Andrade, Luiz C.; Yang, Xiao-Feng

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收藏 | 浏览/下载：1/0 | 提交时间：2025/10/09

dark matter axions experimental detection Maxwell's equations pulsar observations theoretical properties

On-ground demonstration of laser-link construction for space-based detection of gravitational waves 期刊论文 OAI收割
OPTICS AND LASERS IN ENGINEERING, 2023, 卷号: 160, 页码: 7
作者: Gao RH(高瑞弘); Wang, Yikun; Cui, Zhao; Liu HS(刘河山); Liu, Anwei

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收藏 | 浏览/下载：82/0 | 提交时间：2022/12/20

Gravitational wave detection Interferometer Laser acquisition Differential wavefront sensing Experimental demonstration system

Proof-of-principle Experimental Demonstration of Time-delay-interferometry for Chinese Space-borne Gravitational Wave Detection Missions 期刊论文 OAI收割
MICROGRAVITY SCIENCE AND TECHNOLOGY, 4, 2022, 卷号: 34, 页码: 64
作者: Li, Xiaokang; Liu HS(刘河山); Wu, Pengzhan; Li, Haosi; Xu P(徐鹏)

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收藏 | 浏览/下载：60/0 | 提交时间：2022/10/23

Space-borne gravitational wave detection Laser frequency fluctuation noise Time delay interferometry Experimental verification

Development of High-Speed Image Acquisition and Processing System for Real-Time Plasma Control on EAST 期刊论文 OAI收割
IEEE TRANSACTIONS ON PLASMA SCIENCE, 2021, 卷号: 49
作者: Hang, Qin; Zhang, Heng; Chen, Dalong; Huang, Yao; Xiao, Bingjia

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收藏 | 浏览/下载：83/0 | 提交时间：2022/01/25

Experimental Advanced Superconducting Tokamak (EAST) high-speed acquisition plasma control quasi-real-time visualization thermal event detection

激光干涉引力波空间阵列核心问题的综合讨论 期刊论文 OAI收割
科学通报, 2019, 卷号: 64, 期号: 24, 页码: 2468-2474
作者: 罗子人; 张敏; 靳刚

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收藏 | 浏览/下载：151/0 | 提交时间：2019/12/16

space laser interferomter gravitational wave detection inter-satellite laser ranging interferomter drag-free control system gravitational wave astronomy theoretical and experimental relativity

Improved method of target detection on optoelectronic hybrid joint transform correlator in cluttered scences (EI CONFERENCE) 会议论文 OAI收割
2011 3rd International Conference on Mechanical and Electronics Engineering, ICMEE 2011, September 23, 2011 - September 25, 2011, Hefei, China
作者: Yang L.; Yang L.

收藏 | 浏览/下载：41/0 | 提交时间：2013/03/25

A classical joint transform correlator (JTC) usually yields large correlation sidelobes as well as a large correlation peak width strong zero-order peak and low diffraction efficiency which make the detection ability of JTC lower. To overcome these difficulties firstly a joint power spectrum (JPS) subtraction technique in Fourier plane was proposed where reference image power spectrum and object image power spectrum are subtracted from the JPS before inverse Fourier-transform operation it is obvious that the modified JPS removes the zero-order term. Secondly a fringe-adjusted filter (FAF) was presented to suppress sidelobes and noises. The modified JPS is multiplied by a FAF before the inverse Fourier-transform operation to obtain the cross-correlation peak. Computer simulations demonstrated the improved method can obviously remove zero-order diffraction and effectively suppress the sidelobes and noises compared with classic JTC and then improve the detection ability for JTC. Experimental results presented the sharp correlation peak and also confirmed the method effectiveness. (2012) 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：63/0 | 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.

The shape edge measure of automobile airbag based on image processing (EI CONFERENCE) 会议论文 OAI收割
2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012, October 18, 2012 - October 20, 2012, Nanjing, China
作者: Li Y.; Wang Z.; Wang Z.; Li Y.; Li Y.

收藏 | 浏览/下载：48/0 | 提交时间：2013/03/25

At present micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD and then it is sent to the computer to be processed and segmented. The edge of image is extracted through Canny edge detection algorithm in order to acquire shape edge of airbag in this paper and the image similarity degree are calculated to provide the information of matching in the template matching process. Finally the comprehensive test shape edge of airbag is realized. The experimental results show that the detection method is effective feasible intuitive and clear. 2012 IEEE.

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：32/0 | 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.

Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (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: Li Y.; Li Y.; Li Y.; Zhang X.; Zhang X.

收藏 | 浏览/下载：41/0 | 提交时间：2013/03/25

Crowd panic behavior detection is an important task in video analysis and event recognition whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper the crowd is regard as a fluid and the crowd motion is described by four fluid kinematic features (divergence vorticity gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.