• Korean Journal of Human Ecology
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• v.21 no.5
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• pp.957-973
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• 2012

This study analyzed consumer public complaint behaviors and the satisfaction of complaint handling among credit card users who availed of credit card services. Relatively little research has been done in this area, despite the obvious importance of understanding and improving credit card market conditions. The purpose of this study was to examine consumer compliant behaviors with a focus on public actions, such as voice responses and the third party actions among credit card users. With the goal of providing consumers with more positive expectations of credit card companies' complaint handling process, this study investigated the status of public actions and the negative effect of complaints on the overall satisfaction of post-complaint behavior toward credit card services. The responses from 1,000 credit card users were analyzed using descriptive analysis, factor analysis, multi-logit analysis, and Heckman selection estimate. The analysis provided three major results: (1) perceived service quality among credit card users was conceptualized into groups such as responsiveness, innovation, company, additional service, and fee, (2) perceived service qualities, age, residential area, employment status, and subjective economic status had significant effect on public compliant action behaviors, and (3) unidimensional factors resulting from post-complaint behaviors were analyzed and several variables, such as period of credit card use, average amount used, and perceived service quality had significant effects on the degree of satisfaction associated with complaint handling in terms of credit card services. Several implications and directions for further research are discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.11B
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• pp.673-684
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• 2007

In this paper, we introduce an FARNS (Flooding algorithm with Adaptive Retransmission Nodes Selection). It is an efficient cross layer-based flooding technique to solve broadcast storm problem that is produced by simple flooding of nodes in wireless sensor network. FARNS can decrease waste of unnecessary energy by preventing retransmission action of whole network node by deciding retransmission candidate nodes that are selected by identification in MAC and distance with neighborhood node through received signal strength information in PHY. In simulation part, we show the results that FARNS has excellent performance than the other flooding schemes in terms of broadcast forwarding ratio, broadcast delivery ratio, number of redundancy packets and overhead. And FARNS can adjust of node ratio for retransmission operation, it can solve broadcast storm problem as well as meet the requirements of various network environments.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2875-2878
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• 2003

In this paper, we propose an EEG-based mental state prediction method during a mental tasks. In the experimental task, a subject goes through the process of responding to visual stimulus, understanding the given problem, controlling hand motions, and hitting a key. Considering the subject's varying brain activities, we model subjects' mental states with defining selection time. EEG signals from four subjects were recorded while they performed three mental tasks. Feature vectors defined by these representations were classified with a standard, feed-forward neural network trained via the error back-propagation algorithm. We expect that the proposed detection method can be a basic technology for brain-computer interface by combining with left/right hand movement or cognitive decision discrimination methods.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1287-1290
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• 2003

Generally, it is known that human beings have both emotion and rationality. Especially, emotion is so subjective that human beings might act in different way for the same environment according to their own emotion. Emotion also plays very important role in communication with someone else For an agent, even though it is designed to act delicately, when it is designed without internal emotion, it can not interact dynamically just like human beings. In this paper, we suggest an agent which action is effected by not only rationality but also emotion to make it interact with human beings dynamically. It is composed of supervised learning, SOM (Self-Organizing Map) and fuzzy decision.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.21 no.3
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• pp.485-501
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• 1997

Pressure control is possible driving a simple ON/OFF 3-way valve of hydraulic servo system by pulse width modulation signal. But the pressure varies according to the duty ratio and carrier frequency and repeated on-off action induces pressure fluctuation. So equations for mean pressure and ripple amplitude are theoretically derived as a function of on/off time, the system parameters which decide the pressure characteristics are arranged and they are verified by experimental study. As the result selection criteria for the major design parameters are established and the basic strategy to suppress the unnecessary fluctuation can be provided for a hydraulic pressure control system using these type of valves.

• Journal of the Korean Society for Precision Engineering
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• v.7 no.3
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• pp.56-65
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• 1990

This paper describes a computer aided tool design system of deep drawing of cylindrical cups with or without flange by press. An approach to system is based on knowledge based system. The computer program has written in basic language with personal computer Knowledges for tool design are formulated from the plasticity theory, handbooks, experimental results and empirical knowhow of the field experts. The capabilities of developed system include 1) the selection of tool structure (with or without blank holder, single or double action, lift up or draw off type), 2) the design of tool elements(punch/holder, die/holder etc.) for the previous selected tool structure by the process planning output and the production quantity. The final output is generated in graphics form for design sheet.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2003.05a
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• pp.160-163
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• 2003

For the purpose of rolling hard metals such as silicon steel and non-ferrous metals, the backup roll driven-type mill has been widely used in cold rolling industry. Since the backup roll drive results in horizontal bending of the work rolls and therefore exerted reciprocal action on the roll gap contour, the selection of slim work rolls is very restricted. In this paper, we present an analytic equation based scheme to determine a proper horizontal position of work roll minimizing the horizontal force subject to mechanical constraints.

• 보존과학연구
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• s.26
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• pp.5-25
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• 2005

A consideration number of investigation have begun to elucidate the essential role biological agents play in the deterioration of stone. What is becoming clear is that many factors affect the durability of stone. Physical, chemical, and biological agentsact in co-association, ranging from synergistic to antagonistic, to deteriorate stone. Biodeterioration has usually been considered to be a degradation process following the initial deterioration effects of inorganic agents, especially objects of cultural value such as pagoda, stature of Buddha etc. These agents were thought to condition stone surfaces for microbial contamination due to structural changes and enrichment of inorganic organic nutrient substrates. This report concentrates on the action of biodeteriogens from bacteria to algae and higher plants. Preventive and remedial methods are surveyed, as are a selection of chemical treatments.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.473-475
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• 2003

최근 빠른 시간에 행동을 표현할 수 있는 장점을 가진 반응형 시스템과 최적화된 시퀀스를 생성할 수 있는 계획에 기반만 시스템을 통합하기 위한 하이브리드 시스템의 연구가 활발히 진행되고 있다. 행동 네트워크 구조는 센서와 목적에 대한 외부연결과 행동들 사이의 내부연결을 통해 수동적으로 설계되지만. 자동적으로 행동을 생성할 수 있고 복잡한 문제에 적용할 수 있는 장점이 있다. 본 논문에서는 이동 에이전트의 행동을 생성하기 위한 최적화된 방법을 찾는 문제에 대해 이 행동 네트워크에 계획 기능을 부가함으로 행동 시퀀스를 최적화하는 방법을 제안한다. 행동 네트워크는 입력된 정보와 목적 정보를 가지고 다음에 수행할 행동을 선택하여 각 상황에 가장 높은 우선순위를 가지는 행동만을 선택한다. 이 행동 네트워크에서 선택된 모든 행동들을 몇 단계 앞서 수행시켜 가장 좋은 결과를 가져올 행동으로 다음의 행동을 선택하는 방법을 통하여 복잡하고 불확실한 환경에서 주어진 목표를 달성하기 위한 전체적인 최적 행동 시퀀스를 생성할 수 있다. Khepera 이동 로봇을 이용한 실험을 통해 제안한 행동 네트워크에 계획을 이용한 방법이 행동 네트워크 구조에서보다 더 적은 행동 시퀀스로 목적을 달성함을 알 수 있었다.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.1
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• pp.85-99
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• 1995

Increasingly, risk analysis is becoming important ingredients in achieving the successful implementation and application in the area of the project management. The project management system is designed to manage or control the project resources on a given activity within time, cost and performance so called TPPM (Total Productive Project Management). In this research, a risk analysis model misproposed to identify potential problem areas, quantify the risks, and generated the chice of the action that can be taken to reduce the risk. In addition two analysis models are proposed : 1) risk factor model and 2) network simulation model using VERT (Venture Evaluation and Review Technique ). The objective of the remodels is to estimate the schedule, cost performance risks. These proposed quantitative models for project risk analysis are proving its value for the project managers who need to assess the risk of changes in cost, schedule, or performance. The proposed models will be used in the area of project selection, evaluation and the allocation of project resources.