中国科学院机构知识库网格系统: 检索

中国国家公园分类分区管理研究 学位论文 OAI收割
北京: 中国科学院大学, 2020
作者: 郭姣姣

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收藏 | 浏览/下载：40/0 | 提交时间：2021/12/10

分类分区保护对象管理目标引力模型指标体系中国国家公园 classification and space partitioning protected objects management objectives Gravitational model Indicator system China National Park

Gelatin microgels with various nano-objects fabricated by "casting" strategy and application as a catalytic system 期刊论文 OAI收割
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS, 2019, 卷号: 580, 页码: 10
作者: Duan, Li; Qin, ChenChen; Wang, Anhe; Wang, Shengtao; Li, Jieling

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收藏 | 浏览/下载：70/0 | 提交时间：2019/12/02

Gelatin microgels "Casting" strategy Nano-objects Catalytic system

Scalable Multi-objects meta-level coordinated learning in Internet of Things 期刊论文 OAI收割
Personal and Ubiquitous Computing, 2015, 卷号: 19, 期号: 7, 页码: 1133–1144
作者: Wang JP(王军平); JUNPING WANG

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收藏 | 浏览/下载：28/0 | 提交时间：2016/10/20

Coordinated Multi-objects System Meta-level Control Coordinated Learning

Solar System's Bounds on the Extra Acceleration of f(R, T) Gravity Revisited 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 2015, 卷号: 54, 期号: 6, 页码: 1739-1749
作者: Deng, Xue-Mei; Xie, Yi

收藏 | 浏览/下载：30/0 | 提交时间：2015/12/03

f (R,T) gravity Experimental studies of gravity Solar system objects Orbit determination and improvement Ephemerides

基于属性数据的系统调用过滤方法 期刊论文 OAI收割
计算机工程与设计, 2014, 卷号: 35, 期号: 8, 页码: 2621-2627
郭航; 连一峰

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收藏 | 浏览/下载：29/0 | 提交时间：2014/12/16

系统调用系统对象属性数据系统调用依赖规则网络攻击 system call system objects attribute system call dependency rules network attack

基于时空数据库的船舶损管系统研究 期刊论文 OAI收割
计算机仿真, 2014, 卷号: 31, 期号: 9, 页码: 436-440
朱庆猛; 邓勇; 胡晓惠

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收藏 | 浏览/下载：26/0 | 提交时间：2014/12/16

损管系统时空数据库移动对象路径规划 Damage control system Spatio-temporal database Moving objects Path planning

Data normalization of single camera visual measurement network system (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Information Technology and Management Innovation, ICITMI 2012, November 10, 2012 - November 11, 2012, Guangzhou, China
作者: Zhang Y.-C.; Zhou J.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

With the development of visual measurement system Normalize the measured coordinates into the same world coordinate system Apply in the three coordinate measuring machine(CMM) to have the simulation experiment So the data normalization has the advantage of more high precision. (2013) Trans Tech Publications the visual measurement system of single camera which applied in the imaging theory of optical feature points then get the global data the result indicates that the maximum absolute tolerance between the normalization coordinates via the center of point set and the ones measured by CMM directly is 0.058mm Switzerland. it has been widespread used in the modern production. Due to the limit of the environment in scene and achieve the overall measurement the visual measurement system of single camera could not measure the shield between the measured objects each other. Focus on this problem But the one between the coordinate repeatedly measured at the position of one network control point is 0.066mm present a kind of the the knowledge of measurement network based on the visual measurement of single camera set up the measurement network system via the multi-control points. Measure the optical feature points in every network control point via the visual measurement system of single camera

A Multi-Agent Based Architecture for Processing Continuous Geospatial Queries in Transportation Networks 期刊论文 OAI收割
Journal of Convergence Information Technology, 2012, 卷号: 7, 期号: 20, 页码: 138-147
作者: He B(何兵); Tong, Xiao-Hua; Chen, Peng

收藏 | 浏览/下载：19/0 | 提交时间：2016/12/08

Geographic Information System Moving Objects Multi- agents

Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文 OAI收割
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
作者: Yang L.; Zhang X.; Zhang X.; Zhang X.; Yang L.

收藏 | 浏览/下载：47/0 | 提交时间：2013/03/25

In the imaging process of the space remote sensing camera there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation the remote sensing images were restored to give prominence to the characteristic objects in the images. First the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images the point spread function of the imaging system was estimated. In order to improve the accuracy the estimated point spread function was corrected with Gaussian fitting method. Finally the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored its variance and its gray mean gradient increased also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration the blur phenomenon of the images is reduced. The characters are highlighted and the visual effect of the images is clearer. 2011 IEEE.

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (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: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：116/0 | 提交时间：2013/03/25

Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).