@article {368,
	title = {Study on a robot 3D laser radar information collection system},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {69 - 75},
	abstract = {This paper studies a low-cost computerbased 3D laser radar collection system. First, the control of actuator is realized by serial communication and the 2D image is captured from lines to surface, then denoise processing calibration is carried out by using Open CV. By using Irrlicht3D engine, the point cloud data is to be rendered to convert the 2D images to the 3D effect. Robot{\textquoteright}s collection on external image is achieved through the study of Open CV learning that combined with VC2008.},
	keywords = {3D laser radar, Information collection, Low-cost},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879113061\&partnerID=40\&md5=7941cc253a0c68dabc5b5f89de60ee27},
	author = {Chen, W. and Shen, J. and Xue, J.}
}
@article {84,
	title = {Knowledge-based support for object-oriented software design and synthesis: A category theoretic approach},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2007},
	pages = {115 - 122},
	abstract = {To reuse previous knowledge of objectoriented design and adapt them to solve new problems, the collaboration relationships and the responsibility distribution among software objects need to be thoroughly understood and precisely formulated. The paper proposes a knowledge-based approach that employs category theoretic models to formalize and mechanize objectoriented software design and synthesis by focusing concern on reasoning about the interdependency relationships at different levels of abstraction and granularity. The major benefit of our approach is twofold: First, it provides an explicit semantics for formal object-oriented specifications, and therefore enables a high-level of reusability and dynamic adaptability. Second, it utilizes the ability of categorical computations to support automated software composition and refinement. A prototype tool that demonstrates the feasibility and effectiveness of our approach is also presented.},
	keywords = {Automated software, Object oriented design, Software metrics, Software quality},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350673897\&partnerID=40\&md5=de1990a30fe9efe685a0df6e39e37b82},
	author = {Zheng, Y. and Xue, J. and Hu, Q.}
}
