@article {498,
	title = {Formal transformation of spatiotemporal data from object-oriented database to XML},
	journal = {Journal of Digital Information Management},
	volume = {15},
	year = {2017},
	note = {Export Date: 22 February 2018},
	month = {2017},
	pages = {1 - 6},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016500198\&partnerID=40\&md5=5fffc49e324bc3aea22d6f102ff4b293},
	author = {Bai, L. and Jia, Z. and Liu, J.}
}
@article {415,
	title = {Improved image fusion algorithm for detecting obstacles in forests},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {378 - 384},
	abstract = {The harvester has been widely used in forestry operations. However the existence of obstacles in forests, such as stones, animals, human and clustered trees, may leads to safety accident and decreases the operating efficiency of the harvester. Therefore it becomes vital to show the obstacles accurately to provide guidance for the harvester. In this paper, an improved image fusion algorithm based on Contourlet transform and pulse coupled neural network (PCNN) is proposed to enhance the fused images{\textquoteright} clarity and capture more abundant information of the reality. As for comparison, algorithms, such as wavelet transform, Principal Component Analysis (PCA) and PCNN are simulated to evaluate the proposed algorithm. Visible and infrared thermal image are captured in forest in this experiment. The experimental results demonstrate that the proposed algorithm outperform the mentioned methods by the objective criteria of Entropy, Average gradient and Standard deviation.},
	keywords = {Contourlet transform, Image fusion, Improved algorithm, Obstacles in forests, Pulse coupled neural network},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84890541561\&partnerID=40\&md5=16f7eefad0eaee5c1b654f4eb9b1a1ba},
	author = {Yan, L. and Yu, Z. and Han, N. and Liu, J.}
}
@article {384,
	title = {Optimization and application of support vector machine based on SVM algorithm parameters},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {165 - 169},
	abstract = {The hospital customer classification is very important for the integration and allocation of hospital resources, can greatly enhance the market competitiveness of the hospital. Support Vector Machine (SVM) is an approach to solve classification problem by using optimization method. Selecting different kernel parameters can construct different classifiers, meanwhile parameters decide their learning and generalization ability. In order to solve the limitation of selecting parameters by experience, so the particle swarm (PSO) pattern search algorithm is proposed to search optimal parameters and take them into the practice of hospital customer classification; The PSO mode search algorithm is to combine the advantages of PSO algorithm and pattern search algorithm, PSO mode search algorithm has strong global search capability and good advantage of local convergence. The result of experiment shows that this method is not only efficient, but also to search the optimal parameters achieving a high accuracy, which is an effective method of SVM parameter optimization.},
	keywords = {Customer data classification, Kernel parameters selection, Particle swarm pattern search, Support vector machine},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879098093\&partnerID=40\&md5=aa26078b417c2386e1244d36d3bacb09},
	author = {Yan, H.-F. and Wang, W.-F. and Liu, J.}
}
@article {371,
	title = {Study on current protection in distribution network with distributed generation},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {46 - 53},
	abstract = {Running with distributed generation, configuration of distribution network will be changed, that influences strength, flowing direction and duration of fault current. It analysed influence on current protection in main feeder, recloser and conventional branch line protection through the calculation formula of fault current before and after distributed generation synchronization development. In Matlab/Simulink, it constructed distribution network model with distributed generation, used simulation examples to prove influence on current protection and put forward improvement measures which can meet requirements of relay protection in distribution network.},
	keywords = {Current protection, Distributed generation, Distribution network, Fault current},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879100407\&partnerID=40\&md5=c313cd9e2a75b7b6bd904c992a809445},
	author = {Zhu, X.-L. and Liu, J. and Han, F.}
}
@article {349,
	title = {An intelligent communication path planning method of metallurgical equipment multi-dimensional information space},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2012},
	pages = {295 - 300},
	abstract = {With the development of ubiquitous information environment in metallurgical industry, driving type of metallurgical equipment systems is changing from energy-driven to information-driven. The problems of the metallurgical equipment information communication path intelligent planning are taken as the research object. Based on the cellular automata theory, the integrated framework of metallurgical equipment information space is built. Information communication path intelligent planning method of metallurgical equipment based on ant colony algorithm is explored. The practicality and effectiveness of the divided information spaces and designed algorithms are verified by simulation, which provides theoretical support to enhance the level of metallurgical equipment.},
	keywords = {Ant colony algorithm, Cellular automata, Intelligent planning of the communication path, Metallurgical equipments},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870775516\&partnerID=40\&md5=662c43d3290cf4324b438895204b0c6b},
	author = {Liu, J. and Kong, J. and Zhou, M. and Wang, X.}
}
@article {169,
	title = {Improving user{\textquoteright}s Web search experience by interactive re-ranking and zooming interfaces},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Export Date: 10 July 2014},
	month = {2009},
	pages = {35 - 43},
	abstract = {The well-known search engines such as Google, Yahoo! and MSN, are not enough for the advanced users who require user experience, for instance, much more correlative words, or interactive operations applied to returned results such as re-ranking and zooming. To focus on this idea of interactivity, we proposed and implemented interactive interfaces to improve user experience for supporting Web search. they are nice interfaces supporting dynamically changing re-ranking, related word zooming, and related word emphasizing and deemphasizing. It has been served as online search service recently. Our experimental evaluations confirm their convenience and good online performance.},
	keywords = {Interactive search, Online web search, Re-ranking, Zooming interfaces},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350657173\&partnerID=40\&md5=1b8f312e46399e7ccb384b0f2b26c92a},
	author = {Liu, J. and Chen, H. and Furuse, K. and Ohbo, N.}
}
