Browsing by Author "Tsai, Chen-Fang"

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A user centric service-oriented modeling approach
(2011-07-01)
Cheng, Ding-Yuan
;
Chao, Kuo-Ming
;
Lo, Chi-Chun
;
Tsai, Chen-Fang
;
資訊管理與財務金融系註：原資管所+財金所
With rapid development of service-oriented architecture and cloud computing, web services have been widely employed on the Internet. Quality of Service (QoS) is a very important criterion for service consumers to measure and select services. The selection of web services with respect to non-functional QoS criteria can be considered as a Multiple Criteria Decision Making (MCDM) problem when multiple consumers need to share a number of services. This paper describes a new user centric service-oriented modeling approach which is featured by integrating fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Service Component Architecture (SCA) to facilitate web service selection and composition and to effectively satisfy a group of service consumers' subjective requirements and preferences in the dynamic environment. The main contribution of this method is able to translate a group of users' fuzzy requirements to services as well as model different levels of hardware and software as services to meet the requirements. We also design a simulated environment that includes 8*8 LED matrix on a circuit board that corresponds to an office with different appliances to demonstrate the dynamic service selection and binding. The simulation is used to assess the computational efficiency of the fuzzy TOPSIS method and the effectiveness of the proposed system.
INTELLIGENT HOUSEHOLD ENERGY MANAGEMENT RECOMENDER SYSTEM
(2010)
Shah, Nazaraf
;
Tsai, Chen-Fang
;
Chao, Kuo-Ming
;
Lo, Chi-Chun
;
資訊管理與財務金融系註：原資管所+財金所
Recent years have seen extensive research in home energy management systems to address the issues of rising energy prices and global warming. The focus of these research efforts is to create a smart environment which integrates household energy consumption appliances and devices into a home area network. This home area network collects energy consumption data constantly in real time in order support data analysis, decision making and enable the householders to have a transparent view of their energy consumption. The ultimate goal is to use Information and Communication Technologies (ICT) to help householders to reduce their energy consumption while maintaining level of their comfort. The proposed recommender system is a subsystem of an integrated energy management system which involves innovative technologies to monitor and analyse energy consumption of households in real time and enables them to have more detailed picture of their energy consumption and also provide them advice on efficient energy usage. The recommender system is supported by the monitoring system which consists of a network of energy consumption monitoring sensors. These sensors read energy consumption of household appliances in real time and send the data to a central server for storage, analysis and query purposes. In this paper we present a recommender system which provides advice to householders proactively by taking in account their energy consumption patterns and also provides answers to their queries regarding efficient use of energy.