中国科学院机构知识库网格系统: 检索

Numerical studies of the Kelvin-Hemholtz instability in a coronal jet 期刊论文 OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2018, 卷号: 18, 期号: 4
作者: Zhao TL(赵天乐); Ni L(倪蕾); Lin J(林隽); Ziegler, Udo

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收藏 | 浏览/下载：30/0 | 提交时间：2018/06/08

Sun: Corona Jet Kelvin-hemholtz Instability Guide-field Method: Numerical Simulations

High-power GaSb-based microstripe broad-area lasers 期刊论文 OAI收割
Applied Physics Express, 2018, 卷号: 11, 期号: 3, 页码: 4
作者: Lu, Z. F.; Wang, L. J.; Zhang, Y.; Shu, S. L.; Tian, S. C.

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收藏 | 浏览/下载：11/0 | 提交时间：2019/09/17

low-beam divergence mu-m semiconductor-lasers diode-lasers wave-guide field Physics

Single-photon scattering on a strongly dressed atom 期刊论文 OAI收割
PHYSICAL REVIEW A, 2012, 卷号: 86, 期号: 2, 页码: 23824
作者: Sun, CP; Zhang, P

收藏 | 浏览/下载：16/0 | 提交时间：2014/04/25

ROTATING-WAVE APPROXIMATION QUANTUM MODE RESONATOR SYSTEM GUIDE FIELD

Energetic electrons associated with magnetic reconnection in the sheath of interplanetary coronal mass ejection 期刊论文 OAI收割
CHINESE SCIENCE BULLETIN, 2012, 卷号: 57, 期号: 12, 页码: 1455-1460
作者: Huang ShiYong; Deng XiaoHua; Zhou Meng; Yuan ZhiGang; Li HuiMin

收藏 | 浏览/下载：23/0 | 提交时间：2014/12/15

energetic electrons magnetic reconnection guide field interplanetary coronal mass ejection

Single-photon scattering on a strongly dressed atom 期刊论文 OAI收割
PHYSICAL REVIEW A, 2012, 卷号: 86, 期号: 2
Wang, ZH; Li, Y; Zhou, DL; Sun, CP; Zhang, P

收藏 | 浏览/下载：19/0 | 提交时间：2013/09/24

ROTATING-WAVE APPROXIMATION QUANTUM MODE RESONATOR SYSTEM GUIDE FIELD

Magnetostratigraphy of deep drilling core SG-1 in the western Qaidam Basin (NE Tibetan Plateau) and its tectonic implications 期刊论文 OAI收割
QUATERNARY RESEARCH, 2012, 卷号: 78, 期号: 1, 页码: 139-148
Zhang WL (张伟林); Appel E (Appel, Erwin); Fang XM (方小敏); Song CH (Song, Chunhui); Cirpka O (Cirpka, Olaf)

收藏 | 浏览/下载：18/0 | 提交时间：2013/05/23

RESOLUTION MAGNETO STRATIGRAPHY ASTRONOMICAL CALIBRATION PALEOMAGNETIC EVIDENCE ENVIRONMENTAL-CHANGES CENOZOIC DEFORMATION GEOMAGNETIC-FIELD QINGHAI PROVINCE CENTRAL-ASIA GUIDE BASIN UPLIFT

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：59/0 | 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).

The ship-borne infrared searching and tracking system based on the inertial platform (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: Li Y.; Zhang H.; Zhang H.; Li Y.; Li Y.

收藏 | 浏览/下载：36/0 | 提交时间：2013/03/25

As a result of the radar system got interferenced or in the state of half silent it can cause the guided precision drop badly In the modern electronic warfare therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings but when interference is in the process of radar leading especially the electro-optical equipment is influenced by the roll pitch and yaw rotation it can affect the target appear outside of the field of optoelectronic devices for a long time so the infrared optoelectronic equipment can not exert the superiority and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Graded index profiles and loss-induced single-mode characteristics in vertical-cavity surface-emitting lasers with petal-shape holey structure 期刊论文 OAI收割
chinese physics b, 2011, 卷号: 20, 期号: 2, 页码: article no.24204
作者: Jiang B

收藏 | 浏览/下载：74/7 | 提交时间：2011/07/06

vertical-cavity surface-emitting lasers single mode low divergence angle graded index profile OPTICAL INTERCONNECTS QUANTUM-DOT WAVE-GUIDE VCSELS POWER FIELD OPERATION OXIDATION DESIGN FIBERS

Research on software defect prediction based on data mining (EI CONFERENCE) 会议论文 OAI收割
2nd International Conference on Computer and Automation Engineering, ICCAE 2010, February 26, 2010 - February 28, 2010, Singapore, Singapore
作者: Chen Y.

收藏 | 浏览/下载：36/0 | 提交时间：2013/03/25

As the development of computer technology software system becomes more and more complicated. Because of human's ability limit there must be a lot of defects generated in the software development life cycle. This paper reviewed the state of art in the field of software defect management and prediction and presented data mining technology briefly. Finally proposed an ideal software defect management and prediction system researched and analyzed several software defect prediction methods based on data mining techniques and specific models (Bayesian Network and PRM). With this system we can efficiently draw up some prevention and solution scheme to guide the development of new software. 2010 IEEE.