• Nuclear Engineering and Technology
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• v.41 no.3
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• pp.237-246
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• 2009

Digitalization of not only non-safety but also safety-grade I &C systems with full computerized Main Control Room (MCR) is the recent trend of I&C systems of nuclear power plants (NPP) around the world, while plant maintenance has been shifting from traditional time based maintenance to condition based maintenance. In order to cope with the new trend of operation and maintenance in NPP, a concept of online distributed diagnostic system for both plant operation and maintenance has been proposed in order to further improve both the plant efficiency and the work environment of plant operation staff members by organizational learning. In this respect, the research subjects of human machine interface (HMI) for the online distributed diagnostic system are also discussed for supporting the plant personnel at both MCR and local working places in the plant by the application of advanced ICT (Information and Communication Technologies).

• Journal of Information Technology Applications and Management
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• v.16 no.3
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• pp.17-28
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• 2009

This paper presents a novel method for evaluating the usefulness of online product recommendation. Previous studies on evaluating recommendation systems have mostly relied on two methods : testing the accuracy of estimating user preferences by recommendation systems, or empirically testing the effectiveness with lab experiments involving human participants. The former does not measure the usefulness directly and hence can be misleading; the latter is expensive in that it requires a working online store System and test participants. In order to address the problems, the proposed approach uses simulation to imitate customer behavior and evaluate the usefulness of recommendation. Models for user behavior and an abstract Internet store are developed for simulation. Actual simulation experiments are performed to illustrate the use of the approach.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.820-824
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• 2010

Genetic algorithm is known to be an effective method to solve a global nonlinear optimization. However, a huge amount of calculation is needed to improve the dependability of the solution and thus Ga is not adequate for online implementation. In this paper, we propose an online nonlinear system identification scheme which employs population feedback genetic algorithm. The effectiveness of our scheme is shown by several simulations.

• ETRI Journal
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• v.33 no.3
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• pp.407-414
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• 2011

In an effort to reduce energy consumption, research into adaptive power management in real-time systems has become widespread. In this paper, a novel dynamic voltage scaling scheme is proposed for multiprocessor systems. Based on the concept of the Nash bargaining solution, a processor's clock speed and supply voltage are dynamically adjusted to satisfy these conflicting performance metrics. In addition, the proposed algorithm is implemented to react adaptively to the current system conditions by using an adaptive online approach. Simulation results clearly indicate that the superior performance of the proposed scheme can strike the appropriate performance balance between contradictory requirements.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.10
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• pp.891-895
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• 2013

This paper proposes the development of a new method for online analysis which measured acid concentration in a pickling line. Pickling is the most important step to remove surface scale layers and is strongly depending on the exactly controlled pickling liquor composition. Today, there is no feasible system available for the online control of pickling lines. Within this paper, new methods for online analysis of pickling liquors have been tested and implemented into an overall pickling process control tool. This method measured simultaneously the hydrochloric acid and iron ion concentration in a solution of hydrochloric acid by measuring the ultrasonic speed, the solution temperature, and the electrical conductivity. Experimental results showed excellent precision and the measurement error was ${\pm}2g/l$ compared with the neutralization titration measurement.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.1
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• pp.8-16
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• 2014

We consider the visual barcode recognition problem in a noisy video data setup. Unlike most existing single-frame recognizers that require considerable user effort to acquire clean, motionless and blur-free barcode signals, we eliminate such extra human efforts by proposing a robust video-based barcode recognition algorithm. We deal with a sequence of noisy blurred barcode image frames by posing it as an online filtering problem. In the proposed dynamic recognition model, at each frame we infer the blur level of the frame as well as the digit class label. In contrast to a frame-by-frame based approach with heuristic majority voting scheme, the class labels and frame-wise noise levels are propagated along the frame sequences in our model, and hence we exploit all cues from noisy frames that are potentially useful for predicting the barcode label in a probabilistically reasonable sense. We also suggest a visual barcode tracking approach that efficiently localizes barcode areas in video frames. The effectiveness of the proposed approaches is demonstrated empirically on both synthetic and real data setup.

• Management & Information Systems Review
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• v.25
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• pp.115-142
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• 2008

Much attention has been devoted recently to the concept of brand equity. The Definition of brand equity is the added value with which a brand endows a product. From a consumer's perspective, this added value can be viewed in terms of enhancing a consumer's ability to interpret and store large amounts of information about a product. Online, several different approaches are also need to enhance brand equity of website. Noteworthy, significant research has not been conducted on the effectiveness of experiences in websites. As such, several researchers are discussing mainly as strategic alternatives that websites can use to build brand equity. This article explores the roles of many online brand experience variable like attention, arousal, telepresence, and flow on brand equity factors. And findings show that these kinds of experiences variable can be major factors that lead the better brand association, strong brand loyalty and brand equity.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.133-161
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• 2005

This research is to investigate the effects of product involvement on the selection of online shopping malls. From the statistical analysis of 282 response data, it was found that consumers buying products with higher involvement tend to shop in a shopping mall with greater trust, which provide more information regarding their products and a wider variety of products. The other purpose of this research is to investigate factors of shopping malls which influence the buyer's purchase intention. The results of data analysis indicate that consumers are more likely to buy in a shopping mall with greater trust, with detailed product information, and with higher entertaining contents. The results of the study indicate that the shopping malls which give more detailed product information to their customers and establish greater trust will finally lead to a higher sales revenue because more expensive products will be sold.

• Asia pacific journal of information systems
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• v.17 no.1
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• pp.77-93
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• 2007

Risk has been considered as one of very important topics in traditional consumer behavior theoretically and practically since its tendency of minimizing errors rather than maximizing utilization in addition to its intuitive appealing with very high explaining power. In addition to a traditional view of risk, importance of risk in online transactions such as Internet banking is due to technical instability in security of the Internet as well as temporal and spatial separation of transaction partners. Therefore, risk in online transactions should be analyzed by a very comprehensive way since it is very inherent in the Internet. The objective of this study is to suggest a research model for explaining the use of online transactions in some risk related variables including risk results, security result, perceived security, and social influence and show its validity by applying it to Internet banking users. In result, hypotheses suggested by our research model are shown to be valid ones.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.2
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• pp.29-39
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• 2006

Every online shopping mall is concerned about service quality and trust issues. We analyze and compare the impacts of service quality and trust on customer satisfaction and loyalty. In addition, we investigate service quality and trust attributes and their effects on overall service quality and trust. The results unveil that, in our e-business setting, overall trust has more powerful leverage than overall service quality.