@article {387,
	title = {High points recognition method of scraped surface based on background Subtraction},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {115 - 119},
	abstract = {Using computer vision library OpenCV, a method of automatic recognition high points of scraped workpiece surface is presented. The image is dealt with by background subtraction, Median filtering, morphological processing, image negates, contour finding and drawing contours. In order to accurately and efficiently recognize the high-point contours and mark its center positions, mathematical morphology and specific processing function were used.},
	keywords = {Background subtraction, Contour analysis, High points recognition, Image processing, Scrapping},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879125674\&partnerID=40\&md5=593c3c4ffe380889b98f09f916fa0b8c},
	author = {Li, X. and Sun, L. and Liu, Y.}
}
@article {312,
	title = {An equivalent circuit model for on-chip inductors with gradual changed structure},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {99 - 103},
	abstract = {Inductor with gradual changed metal width and space by good design can get better Q factor than the inductor with fixed metal width and space. In this paper, a simple wide-band inductor model is presented considering both the increase of resistance and the decrease of inductance due to the skin and proximity effects. This model has been verified with simulation and the experimental results of spiral inductors with various geometrical configurations on high-resistivity silicon substrate. Good agreements have been achieved under the selfresonance frequency, which indicates its accuracy. This model has also been proved to be suitable for both the conventional inductor with fixed structure and the inductor with gradual changed structure.},
	keywords = {Eequivalent circuit, Gradually changed structure, Inductor, Model},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84866462474\&partnerID=40\&md5=02e9de97a74f79993822587bc84bfc42},
	author = {Li, X. and Ren, Z. and Shi, Y.}
}
@article {343,
	title = {A new customer classification algorithm for electronic commerce enterprises},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {284 - 288},
	abstract = {Correctly and effectively customer classification according to their characteristics and behaviors will be the most important resource for electronic marketing and online trading of network enterprises. A new customer classification algorithm for electronic commerce enterprises is advanced based on analyzing customer characteristics and behaviors. First, based on consumer characteristics and behavior analysis, 21 customer classification indicators, including customer characteristics type variables and customer behavior type variables, are designed, Second, aiming at the shortages of the existing BP neural network algorithm of data-mining for customer classification, the immune-genetic algorithm is used to correct BP neural network to speed up the convergence of the model. Finally the experimental results verify that the new algorithm can improve customer classification accuracy and can guarantee the effectiveness and validity of customer classification for electronic commerce enterprises in its engineering application.},
	keywords = {BP Neural Network, Customer classification, Electronic commerce, Immune genetics},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870801373\&partnerID=40\&md5=e0e9cd1f8a408b64aa0f9dc6037ec8e6},
	author = {Li, X.}
}
@article {352,
	title = {Swarm-robot system based on wireless sensor network},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Cited By (since 1996):4Export Date: 10 July 2014},
	month = {2012},
	pages = {277 - 283},
	abstract = {The study about the swarm-robot system is one of the most important directions of multitudinous robots system. It is an extraordinary challenged issue which how to communicate with each swarm-robot to cooperate together to accomplish a mission in numerous units. The swarm-robot system, which is based on CC2510 wireless sensor network, with the Radio Frequency of FHSS as the communication mode, has realized the swarm-robot unit sensor organ information coordination alternately fleet that improving the stability, interference immunity and transferability. The coordinating scheme possesses availability and practicability has been proved.},
	keywords = {CC2510, Coordination, FHSS, Swarm-robot},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870787456\&partnerID=40\&md5=1543551d520c6b04bd2a82a95ffe8283},
	author = {Peng, J.-S. and Li, X. and Qin, Z.-Q. and Li, W.}
}
@article {302,
	title = {Research on color consistency for color marketing in network transactionsystem based on color management},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Export Date: 10 July 2014},
	month = {2011},
	pages = {276 - 280},
	abstract = {Color consistency is one of the key techniques for color marketing in color reproduction in network transaction system. A new color management method is presented based on analyzing the color rendering principles of scanned input images. Firstly, the method substitutes color blocks in color shade district in standard color target for complete color space to solve the difficulties of color sample selection. Secondly, contraction-expansion curve fitting algorithm is improved to improve its search efficiency and decrease its calculation. Thirdly, parameters of Yule-Nielson equation are reinterpreted, making them applied for non-printing dot image which only can be used for printed dot image originally and then the color conversion model for scanned images is deduced gradually though single color, double color and tricolor conversion correction. Finally the experimental results show that the model can improve scanner color conversion accuracy and can guarantee color consistency in color marketing in electronic business system in practice.},
	keywords = {Color Management, Color Reproduction, Contraction-expansion Curve Fitting, Yule-Nielson Equation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855376957\&partnerID=40\&md5=0b49993c20664cc749d00431998517a2},
	author = {Li, X.}
}
@article {185,
	title = {A novel graph containment query algorithm on graph databases},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Export Date: 10 July 2014},
	month = {2009},
	pages = {143 - 151},
	abstract = {Nowadays, efficient graph query processing method is coming more and more important along with the structured data accumulating. Given a graph database, a graph containment query retrieves the graphs from the database that are subgraphs of the query graph. In this paper, an algorithm is proposed, which is founded on a CFG (Closed Frequent subgraph) based index, to answer graph containment query. CFG is a set of special frequent subgraph of a graph database. When query processes through this index, it gets back a smaller candidate answer set than other methods which means much less subgraph isomorphism calculation. Both theoretical analysis and experimental evaluation result shows that the proposed method not only efficiently prunes the search branches in the feature index, but also effectively reduces the subgraph isomorphism test between the query graph and the indexed features.},
	keywords = {Frequent subgraphs, Graph databases, Graph indexing, Graph querying},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-73249130115\&partnerID=40\&md5=c53fbe52cb4f2481146df6768914245f},
	author = {Li, X. and Zhang, W. and Li, J.}
}
