• Proceedings of the IEEK Conference
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.73-75
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• 2009

The smart grid which is called the future power system should satisfy the customers who want various choices and realtime energy price. The two-way information exchange platform for energy customers provides the infrastructure to transform today's ESP(Energy Service Provider)-centered power system operation into customer-oriented operation. It enables ESPs to provide their customers with a variety of services by communicating with various appliances in customer's premises. In this paper, the portal-based platform model for the two-way information exchange and its implementation are described.

• The Korean Journal of Food And Nutrition
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• 제20권4호
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• pp.509-515
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• 2007

The purpose of this study was to determine the service quality satisfier and dissatisfier factors of family restaurants in Korea by using a qualitative research method, the critical incident technique(CIT). The CIT helps researchers find new factors or attributes by grouping key issues and categorizing common factors from the raw data, critical incidents which critically satisfied or dissatisfied customers. The respondents must describe the incidents in details. There are many previous studies on the attributes related to service qualities, selections, and revisiting intentions and the relationships between the attributes. These studies offer many insights for general trends and directions for managing service qualities, but not how to improve service quality practically. It is difficult to know specific service quality factors especially influencing Korean customers because the factors come from previous research and not from the respondents themselves. Therefore, this research categorized key satisfier and dissatisfier factors from 402 critical incidents described by 261 respondents into 5 groups and 33 subcategories. Real cases and examples are also explained that either critically satisfied for dissatisfied customers at family restaurants.

• The Korean Journal of Food And Nutrition
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• 제23권1호
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• pp.94-101
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• 2010

Concept mapping was used to understand the structure of customer's cafe experience. In January and February, 2009, interviews were conducted with 26 subjects residing in the Seoul-Gyeonggi area. One hundred-two statements describing cafe experience were extracted from the interview transcripts, and were sorted and rated for their importance. Concept mapping software was used to generate a concept map denoting seven dimensions of cafe experience('comfort', 'place of my own', 'pleasant atmosphere', 'personal coffee preference', 'service', 'uniqueness', and 'value'). The results provided meaningful dimensions of cafe customers' experience, which ought to be considered when planning a cafe.

• The Transactions of The Korean Institute of Electrical Engineers
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• 제59권10호
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• pp.1712-1717
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• 2010

To analyze the load of distribution line, real LPs (Load Profile) of AMR (Automatic Meter Reading) customers and VLPs (Virtual Load Profile) of non-AMR customers are required. Accuracy of VLP is an important factor to improve the analysis performance. There are 2 kinds of methods to generate the VLP; one is using ALP (Average Load Profile) per each industrial code and PNN (Probability neural networks) algorithm; the other is using LSI (Load Shape Index) and C5.0 algorithm. In this paper, existing researches are studied, and new method is suggested. Each methods are compared the performance with same LP data of real high voltage customers.

• The Transactions of The Korean Institute of Electrical Engineers
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• 제57권9호
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• pp.1516-1521
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• 2008

Recently, distribution load analysis using AMR (Automatic Meter Reading) data is researched in electric utilities. Load analysis method based on AMR system generates the typical load profile using load data of AMR customers, estimates the load profile of non-AMR customers, and analyzes the peak load and load profile of the distribution circuits and sectors per every 15 minutes/hour/day/week/month. Typical load profile is generated by the algorithm calculating the average amount of power consumption of each groups having similar load patterns. Traditional customer clustering mechanism uses only contract type code as a key. This mechanism has low accuracy because many customers having same contract code have different load patterns. In this research, We propose a customer clustring mechanism using k-means algorithm with contract type code and AMR data.

• Journal of Distribution Science
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• 제12권9호
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• pp.65-72
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• 2014

Purpose - This study aims to provide a brief understanding of usability and its extended models with TAM as well as identifying additional determinants that had been suggested in previous studies on mobile services. Research design, data, and methodology - Empirical data were collected by conducting a field survey of potential mobile application service users. The call for participation was also made in mobile related application issues, which were widely discussed. Result - The ease of use and usefulness had a significantly positive influence on attitude and intention. It also was revealed that added value services can offer practical value to customers. Thus, positive attitudes toward the adoption of services by customers are present when they perceive higher usefulness and ease of use of mobile application services. Conclusion - It was indicated that customers who are more inclined to try new products or who have a higher demand for new things tend to think about those functionalities and added value mobile application services from the perspective of usefulness and ease of use and operation.

• Culinary science and hospitality research
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• 제11권1호
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• pp.70-86
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• 2005

This study is a research on eating-out customer's behavior of inquiring information through the supporting research on the searching information behavior of the customers who visit family restaurants. The result was deduced that the types of eating-out customer's behavior of searching information were different to age, sex, education, incomes, etc., based on demographic analysis. In addition, this study investigated the satisfaction with information and the information types of eating-out customers with verification.

• Journal of the Korean Operations Research and Management Science Society
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• 제25권1호
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• pp.15-26
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• 2000

We consider an open tandem queueing network with population constraint and constant service times. The total number of customers that may be present in the network can not exceed a given value k. Customers arriving at the queueing network when there are more than k customers are forced to walt in an external queue. The arrival process to the queueing network is assumed to be arbitrary. It is known that the queueing network with population constrant and constant service times can be transformed into a simple network involving only two nodes. In this paper, the departure process from the queueing network is examined using this simple network. An approximation can be calculated with accuracy. Finally, validations against simulation data establish the tightness of these.

• Culinary science and hospitality research
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• 제12권4호
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• pp.154-169
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• 2006

This study examined the effects of organizational citizenship behavior (OCB) upon perception of service quality as well as evaluation of customers. 300 copies of questionnaires were distributed to the employees as well as the customers respectively, and 276 copies and 282 copies were collected from each group. There remained 265 copies each to investigate after excluding each 11 and 17 copies of noneffective questionnaires. As a result, the effects of organizational citizenship behavior upon service quality such as altruistic behavior, citizens' consciousness and sportsmanship, etc had significant influence upon the customers' perception of service quality.

• Proceedings of the KAIS Fall Conference
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• 한국산학기술학회 2003년도 Proceeding
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• pp.149-154
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• 2003

Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules that ore generating method. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by using association rules. We expect that the sets of rules generated by association rules could act as an estimator of good or bad credit status classifier.