@article {497,
	title = {A novel approach for regularization of convolutional neural network},
	journal = {Journal of Digital Information Management},
	volume = {15},
	year = {2017},
	note = {Export Date: 22 February 2018},
	month = {2017},
	pages = {30 - 36},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016461859\&partnerID=40\&md5=546e0229eda800292c211f2c58adf7b5},
	author = {Zhang, Y. and Shi, B.}
}
@article {420,
	title = {Modeling and simulation of DIGSILENT-based micro-grid system},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {342 - 351},
	abstract = {The accurate modeling of micro-grid access to power system planning and design stage needs is the primary problem to solve. This paper modeled the micro grid photovoltaic power generation system, including silicon solar cell, photovoltaic inverters, battery energy storage system, and the micro power distribution system. In the use of power system analysis software (DIGSILENT) of actual power system simulation, the simulation results verify the model{\textquoteright}s correctness. In the power grid fault disturbance, the light intensity of disturbance and the load disturbances, the simulation results show that the optical storage combined with micro network has fast dynamic response characteristics, and its network of grid-connected voltage influenced by the changes of the light and load is little, while more affected by the network fault influence.},
	keywords = {Battery energy storage system, Micro grid, Photovoltaic inverter, Silicon solar cell},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84890522361\&partnerID=40\&md5=6ae6926a5a8e9c87e46f14f7d564b0cc},
	author = {Zhang, Y. and Zhu, X. and Li, Q. and Liu, T.}
}
@article {403,
	title = {Parameters selection in the discrete particle swarm optimization algorithm solving gate and runway combinational optimization problem},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {197 - 201},
	abstract = {Gate and runway combinational optimization (GRCO) problem is of great significance in airport operation. In this paper, experimental analysis is performed on the parameters characteristics of the discrete particle swarm optimization (DPSO) algorithm for combinatorial optimization problems. Inertia weight, acceleration constants and population size all have an important impact on the performance of the algorithm. Optimal values exist in the specific application of the respective parameters. The optimal value interval of the population size does not vary with different acceleration constants when inertia weight is constant. Increasing the population size can improve the solution quality, but the time overhead increases significantly. Finally, each parameters selection guidelines are provided.},
	keywords = {Airport operation, Discrete particle swarm optimization, Gate and runway combinational optimization, Parameters selection},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84880782704\&partnerID=40\&md5=b89c7c4e42430962155e9283216c7b70},
	author = {Ding, J. and Zhang, Y.}
}
@article {398,
	title = {Robust zero-watermarking algorithm for CAD models},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {240 - 243},
	abstract = {Copyright protection and authentication of digital contents have become a significant issue in the current digital epoch with efficient communication mediums such as Internet. Digital watermarking technique is now one of the hot research fields of copyright protection for CAD graphic data under the network environment. But there are very limited techniques available for that because of its high shape-preserving demand. Zero-watermarking is such a good means to deal with it and it has lots of advantages such as high capacity, good robustness and various functions. In this paper, we will discuss zerowatermarking algorithm for CAD models and eventually propose a watermarking-based digital rights management system that would test our techniques.},
	keywords = {CAD, Chaos, Copyright, Embedded design, NURBS, Zero-watermarking},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84880814416\&partnerID=40\&md5=7e8682b26931ad23644dd6e4bbbd6318},
	author = {Liu, N. and Zhang, S. and Zhang, Y.}
}
@article {296,
	title = {Application-level solution for data integration in ubiquitous computing environment},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Export Date: 10 July 2014},
	month = {2011},
	pages = {233 - 241},
	abstract = {The Ubiquitous Computing envisions a world of communicating mobile devices and sensors. Advances in wireless communications raise users{\textquoteright} expectations about the accessibility of information in Ubiquitous Computing environments. Getting meaningful information from disparate sensor nodes and/or mobile devices spread in Ubiquitous Computing environment is an urgent task. On the one hand, the heterogeneity of the sensor nodes makes share and finding data at the mobile devices and sink nodes much harder. On the other hand, nodes in Ubiquitous Computing environment are highly dynamic which means query planning in Ubiquitous Computing environment should be able to dynamically re-make their plan when the network conditions change due to intermittent connectivity. To address these two issues, this paper proposes a new service-oriented framework(called UCDS, standing for Ubiquitous Computing Data Services ) at application-level, which supports for semantic integration and querying of heterogeneous data sets distributed over the Ubiquitous Computing environment. We propose a RDF-View-based approach for mobile data mediation, and describe the service-composition-based query planning algorithm implemented in UCDS. We explore an ontology based approach to, mapping mobile data to data services (DS for short), publishing DS with the shared domain ontology. We also explore dynamically evolving service interface enabled by richly service description capability using the semantic web languages, and answering queries through DS composition. Experimental results show that the approach adopted by UCDS provides a better performance compared with the conventional approach.},
	keywords = {Data integration, Query processing, Service composition, Ubiquitous Computing Data Services},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855403966\&partnerID=40\&md5=c0fbe9d31dec46666f6361a5d9fb7a72},
	author = {Zhou, L. and Zhang, Y. and Guan, B.}
}
@article {98,
	title = {A comparative study on key phrase extraction methods in automatic Web Site Summarization},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Cited By (since 1996):5Export Date: 10 July 2014},
	month = {2007},
	pages = {323 - 332},
	abstract = {Web Site Summarization is the process of automatically generating a concise and informative summary for a given Web site. It has gained more and more attention in recent years as effective summarization could lead to enhanced Web information retrieval systems such as searching for Web sites. Extraction-based approaches to Web site summarization rely on the extraction of the most significant sentences from the target Web site based on the density of a list of key phrases that best describe the entire Web site. In this work, we benchmark five alternative key phrase extraction methods, TFIDF, KEA, Keyword, Keyterm, and Mixture, in an automatic Web site summarization framework we previously developed. We investigate the performance of these underlying methods via a formal user study and demonstrate that Keyterm is the best choice for key phrase extraction while Mixture should be used to obtain key sentences. We also discuss why one method performs better than another and what could be done to further improve the summarization system.},
	keywords = {Key phrase extraction, Web retrieval, Web site study},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350686085\&partnerID=40\&md5=1e62cb16df24be6167a1dbde14d4281c},
	author = {Zhang, Y. and Milios, E. and Zincir-Heywood, N.}
}
@article {96,
	title = {Unsupervised learning aided by clustering and local-global hierarchical analysis in knowledge exploration},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2007},
	pages = {237 - 246},
	abstract = {Unsupervised learning plays an important role in the Knowlede exploration discovery. The basic task of unsupervised learning is to find latent variablesor relationships in a given dataset wihout any assumed regularities or patterns. In this paper we apply two advanced models, clustering analysis and hierarchial analysis to accomplish unsupervised learning. K-Means clustering presents its strength in large scale clustering. The original data can be pre-processed and the potential variables are targeted. Correlations among these variables are explored in the subsequent sets by Local Global Hierarchial Analysis (LGHA) assisted by three main steps. In the first step, we use a structural approach to find qualititative patterns from the given variables. Then, the second step applies a quantitative based algorithm to find quantitative patterns from those variables. The and last step generated global hybrid patterns by combining the local patterns obtained from the first two steps based on a certain criterion. Both of the K-Means and Local Global Hierarchial Analysis (LGHA) models are applied in experiments with real world longitutional medical datasets.},
	keywords = {Hierarchical analysis, K-means clustering, Knowledge exploration, Unsupervised learning},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44949188275\&partnerID=40\&md5=2448112a6f72451c391f1e75cc38eeed},
	author = {Zhang, Y. and Orgun, M.A. and Lin, W.}
}
