• 한국융합학회논문지
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• 제13권2호
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• pp.303-312
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• 2022

이 연구에서는 원격대학원생 콘텐츠 구성요소에 대한 중요도-수행도 분석(IPA)을 하였다. 이를 위해 J대학 원격대학원생 221명을 대상으로 온라인 설문조사를 한 결과 다음과 같은 결과를 얻었다. 첫째, 콘텐츠 구성요소의 영역별 중요도는 학습 내용, 상호작용, 교수-학습 전략, 평가의 순으로, 수행도는 교수-학습 전략, 상호작용, 평가, 학습내용의 순으로 나타났다. 둘째, 콘텐츠 구성요소 4가지 영역, 즉 학습내용, 교수-학습 전략, 상호작용, 평가 영역 모두 중요도와 수행도 간에 유의미한 차이가 있는 것으로 나타났다. 중요도-수행도 분석(IPA)은 영역별 및 항목별 두 차원에서 실시하였는데 그 결과는 다음과 같다. 학습내용은 유지관리 영역으로, 교수-학습 전략과 상호작용은 중점개선 영역으로, 평가 영역은 과잉투자 영역으로 밝혀졌다. 이 연구 결과는 원격대학원 콘텐츠의 현재를 진단하고 그에 기초하여 앞으로 개선해야 할 점이 무엇인가를 가늠하는 데 기초자료로 활용할 수 있을 것이다.

• 한국시스템다이내믹스연구
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• 제13권1호
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• pp.159-182
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• 2012

Strategic decision on the execution of national security improvement project is greatly important for the present and future national security. Though, the importance of strategic decision, decision making process has been executed under one-way thinking framework. This research provides a decision-making tool with make-or-buy approach for the national security improvement policy execution methods: foreign purchase and military R&D project, and, via simulation, confirms dynamic change of military capability index respect to change in ratio of foreign purchase and military R&D. A result shows that current ratio of foreign purchases and military R&D is insufficient for national security improvement policy goal. Applying the model from this research provides an appropriate ratio for short term and long term defense strategy and policy goal, and consequent result of increase in national security capability. Thus, this research model can be effectively utilized for national security improvement project.

• 한국의류학회지
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• 제42권5호
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• pp.884-896
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• 2018

This study investigates coping strategies of overweight or underweight males in Korea. For this purpose, the authors identify types of stress related to weight management. A qualitative method was utilized to collect the data related to successful weight management experiences of males aged 20-37 years. Data were analyzed based on a motivation theory of coping, which suggests coping strategy elements. The results of this study identified the stress related to weight: dissatisfaction with appearance, others' disapproval of appearance, health problems, weaker athletic ability, negative self-perception, passiveness about appearance, lower romantic attractiveness, others' disapproval of lower romantic attractiveness, weakened task execution capability, and negative stereo-types about task execution capability. In addition, six coping strategies were suggested: improved appearance, improved physical function, improved positive self-perception, more choices to improve appearance, enhanced romantic relationship, and enhanced job performance. This study shows that weight problems in modern society are diverse and complex. Therefore a man who has abnormal weight needs to clarify his stress first and then proposes strategies that are appropriate for each type of stress.

• 산업공학
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• 제24권3호
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• pp.231-240
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• 2011

Manufacturing enterprises have been doing their best endeavors to obtain competitiveness using various methodologies, such as information technology. In order to achieve competitiveness, they are adopting manufacturing execution system (MES). MES is a total management system that manages from the beginning of the production by product order until the quality inspection of the finished product. And MES is an inter-mediator for supplementation of information gap between ERP and inspection machine and equipment. This paper describes on establishment of effective strategy based on BPR methodology and implementation of MES small and medium PCB manufacturing company with multiple-types of products and mixed process flows. And then we proposed evaluation model based on balanced score card (BSC) for considering non-finance elements as well as finance elements. With evaluation model, we analyzed benefits and effects of MES.

• 한국의류학회지
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• 제30권4호
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• pp.519-530
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• 2006

The purpose of this study was to investigate whether management strategic types and entry strategy moderate the influence of Guanxi on the relationship performance between Korean apparel firms & Chinese partners. For these purposes, three hypotheses were developed and data was collected from 85 Korean apparel firms which have a business relationship with Chinese partners. Data was analyzed with SPSS methods such as frequency, factor analysis, multiple-regression, and hierarchical-regression analysis. The results were as follows: First, 'Prior to Guanxi' and 'Execution of Guanxi', which were sub-factors of Guanxi, influence positively on the relationship performance. And also the influence of 'Prior to Guanxi' was higher than 'Execution of Guanxi' on the relationship performance. Second, the influence of the 'Prior to Guanxi' on the relationship performance was stronger when Defender strategic type was used rather than other types. Third, the influence of the 'Prior to Guanxi' on the relationship performance was stronger when the entry scope of 'Both production & distribution in China' and the entry mode of 'Entry through Agent' were chosen.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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• pp.7-10
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• 2022

본 연구는 국내 주식의 intraday 가격변화를 딥러닝 모형들로 예측하고 그 예측모형을 이용한 매매전략 딥러닝 모형을 제안한다. 주식의 intraday 가격변화에 따라서, 고빈도 매매, 주문집행문제 (order execution problem), 자동화 매매 등과 같은 intraday 주식 트레이딩의 수익률이 달라지기 때문에, 주식의 intraday 가격변화 예측은 주식 투자에 있어서 중요하다. 해외 시장에 대해서는 인공지능 등을 이용한 intraday 가격변화 예측 연구가 활발히 이루어졌지만, 국내의 경우 관련한 연구가 드물어 그 효용성이 명확히 드러나지 않았었다. 그에 따라서, KOSPI 50의 구성 종목에 대하여 정준의(canonical) 딥러닝 모형들을 적용하여 예측 성능을 비교한다. 또한, 그 예측모형들을 활용하여 간소화된 주문집행문제에서의 매매전략 딥러닝 모형을 제안한다. 그리고, 제안한 매매전략 딥러닝 모형을 KOSPI 50의 구성 종목에 대하여 실험하여, 제안한 방법론이 유효함을 밝힌다. 제시된 모형을 실제 주식 매매에 직접 적용하여 수익성을 개선을 기대할 수 있고, 사람이 직접 거래할지라도 효과적인 보조 지표가 될 수 있기에 본 논문은 실용적 의미를 지닌다.

• 수산해양교육연구
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• 제24권2호
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• pp.272-285
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• 2012

The purpose of this study was to develop the Learning Strategy e-Learning Contents based on the storytelling in university students. The objective of the Learning Strategy e-Learning Contents based on the storytelling was to increase in learning skill which university students will use to keep major learning during their courses. The Learning Strategy e-Learning Contents was based on the results of pre-research on storytelling and learning skill. In order to verify the effectiveness of the Learning Strategy e-Learning Contents based on the storytelling, it was analyzed to validity of contents by five professionals. The results of the study were as follows. The Learning Strategy e-Learning Contents based on the storytelling for increasing in learning skill of university students consisted of 15 sessions which proceeding a per semester: the starting phase(1-2), the execution phase(3-13), and the ending phase(14-15). The subjects were 20 university students who had randomly assigned to an experimental group(10) and a control group(10). Subjects completed a learning skill scale. Data analyses were conducted using ANCOVA. The results of the analyses revealed that subjects of experimental group showed significantly higher scores on learning skill than one of control group. Based on the above results, it is concluded that the Learning Strategy e-Learning Contents based on the storytelling was effective in improving learning skill of university students.

• 한국산학기술학회논문지
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• 제10권6호
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• pp.1369-1375
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• 2009

본 연구는 전자상거래 사업을 추진하는 기업을 대상으로 연구하였다. 전자상거래 활성화를 위해 기업이 추진하는 경영전략, 마케팅, 구매/물류, 서비스 측면의 전략이 지식 경영 실천 유형인 시스템적 접근, 행동론적 접근 방식에 구조적으로 어떠한 영향을 미치는지 분석하였다. 또한 지식 경영 실천 유형은 경영성과에 어떠한 영향을 미치는지 분석하였다. 결과적으로 경영전략, 마케팅, 구매/물류, 서비스 측면의 전략은 시스템적 접근, 행동론적 접근 방식에 구조적으로 양의 영향을 미치는 것으로 나타났다. 또한 지식 경영 실천 유형도 경영 성과에 양의 영향을 미치는 것으로 나타났다.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.721-736
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• 2021

For the mobile edge computing (MEC) system supporting dense network, a joint allocation algorithm of computing and communication resources based on reinforcement learning is proposed. The energy consumption of task execution is defined as the maximum energy consumption of each user's task execution in the system. Considering the constraints of task unloading, power allocation, transmission rate and calculation resource allocation, the problem of joint task unloading and resource allocation is modeled as a problem of maximum task execution energy consumption minimization. As a mixed integer nonlinear programming problem, it is difficult to be directly solve by traditional optimization methods. This paper uses reinforcement learning algorithm to solve this problem. Then, the Markov decision-making process and the theoretical basis of reinforcement learning are introduced to provide a theoretical basis for the algorithm simulation experiment. Based on the algorithm of reinforcement learning and joint allocation of communication resources, the joint optimization of data task unloading and power control strategy is carried out for each terminal device, and the local computing model and task unloading model are built. The simulation results show that the total task computation cost of the proposed algorithm is 5%-10% less than that of the two comparison algorithms under the same task input. At the same time, the total task computation cost of the proposed algorithm is more than 5% less than that of the two new comparison algorithms.

• 산업경영시스템학회지
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• 제28권2호
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• pp.139-145
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• 2005

As today's business environment becomes more globalized and distributed, the importance of collaboration is rapidly increasing. This Paper Presents a systematic approach to collaboration strategy planning. The framework suggests that a Collaborative Process Map needs to be identified first. Then, Collaboration Maturity of an enterprise is evaluated. Based on the Collaborative Process Map and Collaboration Maturity Evaluation, Collaboration Execution Plans are systematically established. A case study shows that the proposed framework can successfully be applied to the strategic collaboration planning of semiconductor industry