• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.221-230
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• 2022

The purpose of this study is to identify career decision-making types of college students majoring in beauty, and to improve career preparation behaviors by analyzing their effects on career preparation behaviors and major satisfaction. It was conducted from November 1 to 30, 2021, and a total of 485 questionnaires were used as analysis data. Frequency analysis, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis were performed as research methods. As a result of the study, first, the type of career decision-making showed a positive (+) correlation between career preparation behavior and major satisfaction, indicating that it was statistically significant. Second, rational career decision-making style was correlated with dependence and intuitive style. As the career preparation behavior, the career preparation behavior of time effort, ability activity, and information collection, and the satisfaction of the major showed a statistically significant positive (+) correlation in class satisfaction and subject satisfaction. Third, among career decision-making types, rational and dependent types were found to have a statistically significant effect on ability activity, which is a sub-factor of career preparation behavior.

• Information and Communications Magazine
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• v.31 no.3
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• pp.69-77
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• 2014

물리적으로 분산된 환경에서 진행하는 대규모 과제에서는 참여자 간 의사소통에 많은 비용이 들고, 의사결정을 위한 공유 자료의 신뢰성도 확보하기 어렵다. 이를 해결하기 위해 K-Hub와 Redmine을 적용한 협업 시스템을 구축하여 과제를 진행하고 있다. 기존의 오피스 툴을 활용한 과제관리방식에서 K-Hub와 Redmine를 도입함으로써 과제 내 의사소통 및 과제 정보 공유 환경을 구축하여, 과제관리에 소요되는 시간과 비용을 절약하고 참여자들에게 제공되는 정보의 신뢰성을 확보하였다. 문서의 관리비용을 줄이고, 과제 참여자에게 제공되는 정보에 대한 신뢰성 확보하여, 빠른 의사결정과 효과적인 의사소통의 기반을 실현하였다. 결국 불필요한 관리 업무를 최소화 하였고, 관리의 편리성을 향상 시켰다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.40-42
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• 2003

주어진 실시간 환경의 복잡성 때문에. 항상 최적의 행동을 수행하는 완벽하게 이성적인 에이전트 (rational agent) 의 구현은 실질적으로 가능하지 않다. 이러한 실시간 문제 해결기법에서의 전통적인 접근 방식은 미리 정의된 규약에 의존한 조건-행동 추론 방식이다. 이러한 조건-행동추론 방식은 문제 영역이 다양하거나 문제의 재설계가 필요한 경우에는 아무런 해법을 갖지 못한다. 따라서 이러한 문제점을 해결하기 위해 본 논문에서는 주어진 행동들의 유틸리티를 실시간에 계산하고, 긴급한 정도를 측정하여 상황이 긴급할 경우에는 더 이상의 계산을 중단하고 즉각적인 행동을 취하며. 반면에 상황이 긴급하지 않을 경우에는 최선의 의사결정을 위하여 추가적인 정보를 고려하여 더 바람직한 행동을 결정하는 방법론을 제안한다. 제안한 방법론의 평가를 위하여 시간 제약적인 환경에서 최선의 의사결정을 수행하는 실질적이며 유연한 에이전트를 구현 하고자 한다.

• Korean Chemical Engineering Research
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• v.58 no.3
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• pp.346-355
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• 2020

This study proposed a new optimization-based decision model for an enterprise resource planning and production scheduling of a pharmaceutical intermediates manufacturing plant. To do this work, we first define the inflow and outflow information as well as the model structure, and develop an optimization model to minimize the production time (i.e., makespan) using a mixed integer linear programing (MILP). The unique feature of the proposed model is that the optimal process scheduling is established based on real-time resource logistics information using a radio frequency identification (RFID) technology, thereby theoretically requiring no material inventories. essential information for process operation, such as the required amount of raw materials and estimated arrival timing to manufacturing plant, is used as logistics constraints in the optimization model to yield the optimal manufacturing scheduling to satisfy final production demands. We illustrated the capability of the proposed decision model by applying the optimization model to two scheduling problems in a real pharmaceutical intermediates manufacturing process. As a result, the optimal production schedule and raw materials order timing were identified to minimize the makespan while satisfying all the product demands.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.9
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• pp.2055-2062
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• 2013

Digital evidence which is the new form of evidence to crime makes little difference in value and function with existing evidences. As time goes on, digital evidence will be the important part of the collection and the admissibility of evidence. Usually a digital forensic investigator has to spend a lot of time in order to find clues related to the investigation among the huge amount of data extracted from one or more potential containers of evidence such as computer systems, storage media and devices. Therefore, these evidences need to be ranked and prioritized based on the importance of potential relevant evidence to decrease the investigate time. In this paper we propose a methodology which prioritizes order in which evidences are to be examined in order to help in selecting the right evidence for investigation. The proposed scheme is based on Fuzzy Multi-Criteria Decision Making, in which uncertain parameters such as evidence investigation duration, value of evidence and relation between evidence, and relation between the case and time are used in the decision process using the aggregation function in fuzzy set theory.

• Journal of the Korean Data and Information Science Society
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• v.12 no.2
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• pp.113-124
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• 2001

CHAID, logistic regression, bagging trees, and bagging trees are compared on SAS artificial data set as HMEQ in terms of classification accuracy and training time. In error rates, bagging trees is at the top, although its run time is slower than those of others. The run time of logistic regression is best among given models, but there is no uniformly efficient model satisfied in both criteria.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.453-454
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• 2019

현대 사회에서는 의사 결정을 위해 다양한 도구가 사용되고 있다. 대규모로 진행되는 토의나 토론에서는 데이터를 분석하는데 많은 비용과 시간이 소모되고 있다. 회의록 요약시스템은 기존 문서처리방법을 자동화하여 인건비 절감과 처리시간을 단축하는 긍정적 효과를 기대하고 있다. 본 논문은 기존에 수작업으로 진행되었던 과정을 보다 효과적으로 운영할 수 있도록 회의록 요약시스템을 설계하고 구현한다. 대규모 토론이나 토의에서도 요약시스템 통해 대표의견을 제시받아 정확한 의사결정을 하여 시간절약과 비용절감 효과를 기대한다.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.1-17
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• 2001

This paper deals with an agent-based decision-supporting system for Taguchi experiment planning. Among the four major parts of Taguchi experiment, the planning phase includes the most important decision-making issues such as determination of experiment objectives, quality characteristics, and control factors. The planning phase, however, has not been paid proper attention by experiment designers. In this research, an agent-based decision-supporting system for Taguchi experiment planning has been developed to facilitate the planning tasks of experiment designer. The decision-supporting system is composed of two agent-based mechanisms. The first employs an Internet agent that collects the domain knowledge from knowledge providers who may be distributed in remote places. Another agent then visualizes the collected knowledge and reports it to the experiment designer. Engineers who would normally have difficulties in collaborating because of limitations on their time or because they are in different places can easily work together in the same experiment team and brainstorm to make good decisions. The second agent-based mechanism offers context-sensitive advice generated by another intelligent agent during the experiment planning process. it prevents the experiment designer from making improper decisions, which will increase the feasibility of the experiment and minimize the unnecessary expense of time and resources.

• Korean Business Review
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• v.22 no.1
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• pp.139-156
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• 2009

This article investigates the relationships between motivation and revisit intention of visitors to Gangneung Danoje Festival as cultural festival with social demand. Out of 550 questionnaires distributed, a total of 514 usable questionnaires were collected. The hypothesized causal model was tested by logit model, which included satisfaction model to each program as well as overall satisfaction model to cultural festival. Model 1 is constructed with satisfaction and revisit intention to each program, and Model 2 with overall satisfaction and revisit intention to cultural festival. In this models causal variables were inputted including satisfaction to festival programs, frequency of visitation, days of stay, time required to destination. In Model 1 positive sign were shown by causal variables as satisfaction to each program, frequency of visitation, days of stay but negative signs was shown by time required to festival place. In Model 2 sign directions of causal variables were same in Model 1. In comparison, Model 2 is more significant than Model 1 on the basis of statistical theory as significance level and coefficient of determination. Consequently, cultural festival managers should test the satisfaction level of visitors to each program of cultural festival and make efforts to establish advanced program in order to attract more visitors.

• Proceedings of the Korean DIstribution Association Conference
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• 1999.11a
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• pp.229-246
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• 1999

구매환경이 포함하고 있는 상황적 요인은 소비자들의 의사결정 과정에 상당한 영향력을 행사할 수 있음에도 불구하고 그간 이루어진 연구들은 의사결정이 발생되는 특정 시점이나 장소를 고려하지 못한 것이 일반적이다. 그러나 현실적으로 이러한 상황적 요인은 소비자의 구매행위에 커다란 영향을 미치게 된다. Belk(1975)는 상황적 영향력(situational influence)이란 현재의 행위에 명백하고 구체적인 효과를 미치는 특정 시점(time) 및 장소(place)와 관계되는 요인이라고 정의하고 있다. (중략)