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	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 \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2016/10/20 Coordinated Multi-objects System Meta-level Control Coordinated Learning
	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：20/0 \| 提交时间：2016/12/08 Geographic Information System Moving Objects Multi- agents
	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).
	Station mode for attitude determination of small-multi-target with high speed (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China 作者: Wang J.; Zhao L.; Li M. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 A key problem of attitude measurement of small-multi-target with high speed is how to decide the optimum of the CMOS stations. A multi-CMOS station mode is designed in this paper multiple CMOS videos were placed on two parallel sides in measurement system every two CMOS form an intersection viewing field multiple viewing field join to cover shooting range which can augment Effective Viewing Field(EVF) increase capture ratio of objects with high speed and measurement precision of small objects. When an object passes through the joint area it will be imaged separately on each CMOS focal plane. Multiple CMOS videos were triggered synchronously a sequence of image information was extracted the target attitude was confirmed by digital image processing technology. The merit of station mode is low cost large measurement scope extending freely and so on. 2010 IEEE.
	Research on station mode for attitude determination of multiple targets (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China 作者: Zhao L.; Wang J.; Li M. 收藏 \| 浏览/下载：42/0 \| 提交时间：2013/03/25 A key problem of attitude determination system is how to locate CMOS cameras and deal with relations among them. In this paper several kinds of multi-CMOS station mode are introduced. Fundamental principles and classification of station mode directly affect on measurement parameters of system. No matter what mode is designed the ultimate goal is to extend Effective Viewing Field (EVF) increase capture ratio of objects and increase measurement precision. Station mode introduced in this paper is made of CMOS cameras because of low cost high speed frame frequency and low power consumption CMOS cameras were putted near from object tested. So sequences of image are legible which are convenient for analysis of three dimensional(3D) attitude. 2010 IEEE.