• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1996년도 추계학술대회발표논문집; 고려대학교, 서울; 26 Oct. 1996
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• pp.214-217
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• 1996

Early decision support systems (DSS) were the "passive" decision support systems in the sense that the systems only able to do what the users explicitly direct them to do. But some researchers such as Raghav Rao et al. [51 showed architectures to suggest general idea of the innovative DSS systems which offer active form of decision support, say, "active Intelligent Decision Support Systems(active IDSS)". The system can perform not only what the users want to do but some voluntary (or involuntary) intelligent works. This paper presents the issues in the design of the active IDSS in the domain of investment evaluation, a domain area where few researchers have suggested frameworks or architectures to discriminate good investment from bad one. We propose a new paradigm, by utilizing historical investment results using neural network and Multivariate Discriminant Analysis(MDA), to identify goodness of investment. A new active IDSS architecture which consists of neural network, expert system and three components of the traditional passive DSS is suggested with some scenario based results.nario based results.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.675-676
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• 2013

본 논문에서는 TDBM과 CMTEDD를 사용하여 다중출력조합디지털논리시스템 설계방법의 한가지를 제안하였다. 또한, CBDD와 CMTEDD를 기반으로 최종 조합디지털논리시스템 구성을 멀티플렉서를 사용하여 구현하였다. 제안한 방법은 기존의 방법에 비해 모듈사이의 내부결선을 효과적으로 줄일 수 있으며 입력변수의 쌍과 출력함수의 쌍에 의해 게이트 수를 줄일 수 있는 장점이 있다.

• 디지털산업정보학회논문지
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• 제7권1호
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• pp.111-125
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• 2011

Smartphone is becoming as a core device of mobile environment. The purpose of this study is to investigate the factors affecting customer's buying decision on smartphone. Based on prior studies and cases, this study identifies network effect, switching cost, function, design, brand, after service, price as affecting factors of customer's buying decision on smartphone. It also aims to investigate the relationship between network effect/switching cost and re-purchasing. Result shows that network effect brand, after service are significantly related to customer's buying decision on smartphone by device types, but switching cost, function, design, price are not. Network effect also was found to be significantly related to the re-purchasing. The result of this study may provide a guideline of supply strategy with smartphone suppliers.

• 산업경영시스템학회지
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• 제29권1호
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• pp.87-93
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• 2006

In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence are applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It communicates with other active agents such as sensory and dialogue agent. The proposed design of decision support agent facilitates the effective operation and control of machine tools and provides a systematic way to integrate the expert's knowledge that will implement Intelligent Machine Tools.

• Nuclear Engineering and Technology
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• 제39권6호
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• pp.703-716
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• 2007

As digital and computer technologies have grown, human-machine interfaces (HMIs) have evolved. In safety-critical systems, especially in nuclear power plants (NPPs), HMIs are important for reducing operational costs, the number of necessary operators, and the probability of accident occurrence. Efforts have been made to improve main control room (MCR) interface design and to develop automated or decision support systems to ensure convenient operation and maintenance. In this paper, an integrated decision support system to aid operator cognitive processes is proposed for advanced MCRs of future NPPs. This work suggests the design concept of a decision support system which accounts for an operator's cognitive processes. The proposed system supports not only a particular task, but also the entire operation process based on a human cognitive process model. In this paper, the operator's operation processes are analyzed according to a human cognitive process model and appropriate support systems that support each cognitive process activity are suggested.

• 한국IT서비스학회지
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• 제13권2호
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• pp.133-149
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• 2014

It is unavoidable to provide products that meet customers' needs and wants so that firms may survive under the competition in this globalized market. This paper focuses on how to provide levels for attributes that compse product so that firms may give the best products to customers. In particular, its main issue is how to determine common attributes and the others with their appropriate levels to maximize firms' profits, and how to construct a decision support system to ease decision makers' decisons about optimal common attribute selection using the Semantic Web and SWCL technologies. Parameter data in problems and the relationships in the data are expressed in an ontology data model and a set of constraints by using the Semantic Web and SWCL technologies. They generate a quantitative decision making model through the automatic process in the proposed system, which is fed into the solver using the Logic-based Benders Decomposition method to obtain an optimal solution. The system finally provides the generated solution to the decision makers. This presentation suggests the opportunity of the integration of the proposed system with the broader structured data network and other decision making tools because of the easy data shareness, the standardized data structure and the ease of machine processing in the Semantic Web technology.

• 한국통신학회논문지
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• 제22권9호
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• pp.2035-2042
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• 1997

비동기 부호 분할 다중 접속(Code Division Multiple Access: CDMA) 시스템을 위한 다단(mutistage) 간섭 제거 검출기의 매 단에서 기존에 사용되어 온 경판정(hard decision)을 대신할 수 있는 연판정(soft decision) 함수의 설계를 고려한다. 특히, 평균 제곱 오류(mean square error: MSE)의 관점에서 최적인 시그모이드(sigmoid) 함수와 구현시 복잡도를 줄이면서 시그모이드 함수를 가장 잘 근사화하는 다단계 양자화기(multu-level quantizer)들을 유도한다. 다단 검출기의 매 단에서 이들 판정 함수들의 변수는 산출된 입력 특성에 의해 조정된다. 컴퓨터 모의 실험을 통하여 이들 연판정 함수를 갖는 다단 검출기가 경판정을 사용하는 경우보다 현저하게 성능을 향상시킴을 보인다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 추계 학술발표회
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• pp.1090-1097
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• 2008

This study conducted the decision method of lateral flow in abutment structures founded on the soft soils and the reliability analysis on the foundation pile for abutment. On the basis of the results, this study proposed the reliability design model. Reliability analysis was conducted by applying second moment method, point estimation method, and expected total cost minimization to lateral movement index, lateral movement decision index, modified lateral movement decision index, and circular failure safety factor for the decision criteria of lateral flow. The reliability index by analysis method had a similar tendency each other. Point estimation method was found as a practical method in the aspect of convenience because it could conduct the analysis only by mean and standard deviation as well as the partial derivative on random variables was not necessary. Optimum reliability index and optimum safety according to increasing in failure factors and load ratio were analyzed and loads and resistance factors of the design criteria of optimum reliability were estimated. It presented rational design model which can consider construction level and stability and economical efficiency overall.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 추계학술대회
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• pp.687-688
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• 2011

본 논문에서는 최근에 디지털논리시스템의 회로 구현시에 적용되기 시작한 분할설계기법의 한가지 방법을 제안하였다. 기존의 디지털논리회로설계기법은 적용되는 개별소자를 어떻게 효과적이며 효율적으로 이용하느냐 하는 것이 큰 목적이었으나, 최근의 전자공학의 발달과 회로의 집적도가 높아짐에 따라서 디지털논리설계기법은 각각의 모듈을 구성하고 있는 소자들의 개별소자를 사용하는 것보다는 복잡하더라도 좀 더 경제적이고 다기능의 분할설계기법이 요구되고 있다. 이러한 내용을 근간으로 본 논문에서는 효과적인 분할기법을 이용한 스위칭함수구성의 한가지 방법을 제안하였다.

• Journal of Information Technology Applications and Management
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• 제14권4호
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• pp.75-96
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• 2007

The effects of information quality and the importance of information have been reported in the Information Systems (IS) literature. However, little has been learned about the impact of information visualization types and contextual information on decision quality. Therefore, this study investigated the interaction effects of these variables on decision quality by conducting a laboratory experiment. Based on two types of information visualization and the availableness of contextual information, this study had a $2{\times}2$ factorial design. The dependent variables used to measure the outcomes of decision quality were decision accuracy and time. The results demonstrated that the effects of contextual information on decision quality were significant. In addition, there was a significant main effect of information visualization on decision accuracy. The findings suggest that decision makers can expect to improve their decision quality by enhancing information visualization types and contextual information. This research may extend a body of research examining the effects of factors that can be tied to human decision-making performance.