@article {593,
	title = {Differential evolution enhanced with composite population information based mutation operators},
	journal = {Journal of Digital Information Management},
	volume = {13},
	year = {2015},
	note = {Cited By :3Export Date: 22 February 2018},
	month = {2015},
	pages = {210 - 223},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942511121\&partnerID=40\&md5=7309be081ccccb38955635c7e2c213ec},
	author = {Liao, J. and Cai, Y. and Chen, Y. and Wang, T. and Tian, H.}
}
@article {378,
	title = {Exception detection for web service composition using improved bayesian network},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {108 - 114},
	abstract = {New application systems generated by composition of web services dynamically have become a development trend in network environment. However, since a variety of external services are invoked with different quality of service during processing, the problem of how to keep the execution stable must be addressed in order to improve the reliability and availability of the combination of services. In this paper, an approach of exception detection is presented for web service composition by improved Bayesian network. Firstly, the topological structure of Bayesian network is established, where the causal relationships between underlying web services are mapped to Bayesian network in service combination process. The conventional Bayesian network algorithm is improved to satisfy the demand of better conversion from nodes in web service composition to nodes in Bayesian network. Secondly, the parameter setting in Bayesian network is explored for determining the prior probability of service nodes and the conditional probability of service output node. Thirdly, the algorithm of the improved exception detection model is introduced, with the aim of locating the web services that cause exceptions in the execution of composite services. Lastly, a case study is given and the results analysis is also conducted. The results show that the presented approach not only considers the uncertainty during exception detection, but also can identify the exception web services in the process.},
	keywords = {Bayesian network, Exception handling, Web service, Web service composition},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879099166\&partnerID=40\&md5=0973327f022946c84a165872a2285524},
	author = {Chen, Y. and Ying, S. and Zhang, L. and Wu, J.}
}
@article {369,
	title = {The research and realization of wireless energy consumption detector based on the internet of things},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2013},
	pages = {62 - 68},
	abstract = {Intelligent power consumption detection device is an important part in Smart Home system, which can intelligent identification , positioning , tracking, monitoring and management the household electrical parameters, enabling users to keep abreast of household electricity consumption. This paper is mainly about the design of a Wireless Energy Consumption Detector (WECD) based on the Internet of Things, combine with the IEEE802.15.4E wireless protocol. The whole system includes hardware and software parts, the choice of MCU chip, RF chip and power measurement chip for WECD, the design of each module circuit based on the chip working principle, the paper also make a key analysis of device driver module, wireless data forwarding module and wireless data showing module of indoor terminal. After a series of rigorous testing, the result indicates a high reliability and accuracy of the WECD.},
	keywords = {IEEE802.15.4E, Smart home, Wireless energy consumption detector},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879106063\&partnerID=40\&md5=32877c7463cacdf6d4cc123f5922c0a9},
	author = {Fu, W. and Shui, M. and Chen, Y. and Chen, L.}
}
@article {397,
	title = {Research on the anti-perspective correction algorithm of QR barcode},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {202 - 206},
	abstract = {2-D (2-dimension) bar code has many advantages compared with 1-D bar code, so it has many prevalent applications in recent days. However, there{\textquoteright}re several factors that affecting the sampling process, they lead to a certain degree of deformation towards the 2-D bar code. Furthermore, this deformation may too severe for 2-D bar code to be recognized. Generally, the main stream of twisted image correcting is based on the approach of control-point transformation. So how to locate the control point accurately becomes a key factor in 2-D bar code correcting. This paper develops a QR barcode searching graph and gets the precise location of control point. Experiment shows that our algorithm has good efficiency and accuracy.},
	keywords = {Image correction, Line fitting, Perspective transformation, QR code, Searching graphics},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84880830674\&partnerID=40\&md5=4b80f450374df6601877d816dd4cc9af},
	author = {Li, J. and Wang, Y.-W. and Wang, Y. and Chen, Y. and Wang, G.}
}
@article {82,
	title = {Editorial: Special issue on computational intelligence in information retrieval},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Export Date: 10 July 2014},
	month = {2007},
	pages = {97 - 98},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350664206\&partnerID=40\&md5=881162d6fe901d46e633d998f654ed1b},
	author = {Abraham, A. and Chen, Y. and Xhafa, F.}
}
