• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.3
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• pp.1-11
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• 2007

The purpose of this study is to predict promising Location Based Services under an ubiquitous environment based on their technical characteristics, which is strongly required in rapidly changing circumstances with ubiquitous computing and Broadband Convergence Network (BcN). To begin with, this study proposes a classification scheme of ubiquitous services and defines five technology factors required for ubiquitous services. Next, this study collects a number of ubiquitous services from previous researches and classified them according to the classification scheme of ubiquitous services. And then, technical importance of the collected ubiquitous services are evaluated in terms of technology factors by using service-technology metrics. Finally, a set of important Location Based Services under ubiquitous environments and the correlations between technology factors are identified by using the evaluation results.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.263-268
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• 2015

Put your information in the object-based sensors and mobile networks has been developed that correlate with ubiquitous information technology as the development of IT technology. However, a security solution is to have the data stored in the server, what minimal conditions. In this paper, we propose a data management method is applied to a hash chain of the properties of the multiple techniques to the data used by the big user and the data services to ensure safe handling large amounts of data being provided in the big data services. Improves the safety of the data tied to the hash chain for the classification to classify the attributes of the data attribute information according to the type of data used for the big data services, functions and characteristics of the proposed method. Also, the distributed processing of big data by utilizing the access control information of the hash chain to connect the data attribute information to a geographically dispersed data easily accessible techniques are proposed.