• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2200-2204
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• 2009

In this paper the analysis of natural cause of Beijing Storm inundation and the effect of the human activities has been taken. Flood risk can hardly be eliminated solely by projects. Pre-warning system established is an efficient measure to minimize the influence of flood. Several main functions of this system and their examples are described in the paper, such as: monitoring, forecast, scheme, warning, dynamic decision-making and information publication.

• Journal of the military operations research society of Korea
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• v.22 no.2
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• pp.18-36
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• 1996

This paper provides a research on some design techniques of Industrial Engineering / Management Science (IE/MS) for more efficient logistics support in developing armament systems. It includes RAM (reliability, availability and maintainability) analysis techniques, decision making analysis techniques, human factors engineering techniques and logistics support analysis techniques.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.290-298
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• 2016

Human cognition and decision-making related to information systems (IS) is a major area of interest in IS research. Among these areas, cognitive bias rooted in behavioral economics is gaining considerable attention from researchers. In the present study, we identify the role of cognitive biases and discuss how they shape the information security behavior. We also seek research opportunities to provide directions and implications for future research.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.1-6
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• 2019

Recently, big data and artificial intelligence (AI) based on communication systems have become one of the hottest issues in the technology sector, and methods of analyzing big data using AI approaches are now considered essential. This paper presents diverse paradigms to subjects which deal with diverse research areas, such as image segmentation, fingerprint matching, human tracking techniques, malware distribution networks, methods of intrusion detection, digital image watermarking, wireless sensor networks, probabilistic neural networks, query processing of encrypted data, the semantic web, decision-making, software engineering, and so on.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.83-88
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• 2013

Many studies adopting brain functions to the engineering systems have been made for recent years as the brain Science has developed. If we investigate the parts which take part in memorizing and emotional process, we can know that Hippocampus of memorizing center and Amygdala of Emotional center closely cooperate each other. Actually Knowledge effects on Emotion and Emotion effects on Knowledge. During the human decision making, emotional factor has much important effects on Decision making process. For implementing more delicate intelligent system, the knowledge base coupled to emotional factor should be designed. Accordingly in this paper starting from the idea of cooperating system between Hippocampus and Amygdala,, we design Knowledge Emotion Binding System and propose Emotional changing mechanism by Memory retrieval and knowledge reasoning process.

• Journal of Korean Society for Quality Management
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• v.42 no.2
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• pp.131-143
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• 2014

Purpose: This paper discusses the intrinsic assumption of one-dimensional relationship between the upper and lower levels in AHP(Analytic Hierarchy Process) for the Preliminary Feasibility Study of National R&D Program. This assumptions has not been questioned in academia and industry so far. Methods: This discussion is induced by understanding the Theory of Attractive Quality (Kano et al. 1984) and explains the limitation of AHP in the preliminary feasibility study of national R&D program. Results: In this paper, we propose a new questioning method based on two dimensional perspective, which is named as 2D-AHP (two dimensional AHP), to overcome the limitation. The main idea stems from the observation that the relationship between the upper and lower levels in AHP can vary depending on the subject of R&D. Conclusion: The two dimensional perspective pointed out in this paper should be more deeply studied in the field of MCDM(multi-criteria decision making) since it can be applied to the more general problems in human decision making.

• Journal of the Korean Society of School Health
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• v.26 no.2
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• pp.114-123
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• 2013

Purpose: The purpose of this study was to compare life skill's levels of adolescents. Methods: This was descriptive comparative survey using as convenience sample of 460, fifth and sixth grades in elementary school in Seoul Korea. The life skill was measured by life skill scale that 78 items regarding self esteem, social skill, decision making skill, and goal setting skill. Collected data were analyzed by frequency, mean, t-test and Pearson correlation using the SPSS/WIN 20.0. Results: The family-related self-esteem was higher ($26.02{\pm}3.73$) than other self-esteem score. Low family-related self-esteem associated with health behavior such as current drinking, accessing to pornography sites on internet in adolescents. There was a significant positive correlation between self-esteems (cognitive, peer, family, body, general), decision making skill and goal-setting skill. Conclusion: The results of this study suggest that it is important to develop a program that focuses on enhancing family-related self-esteem to effectively reduce the risk behaviors among adolescents.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.19 no.1
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• pp.66-73
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• 2011

According to U.S. NTSB, from 1989 to 1992, Situation Awareness(SA) was a major factor causing 80% of all aircraft accidents in scheduled airlines. Therefore, the prevention of accidents through effective training in SA became a pivot in aviation safety. Furthermore, during the past 10 years, since all helicopter accidents in Korea were caused by the factors related to SA, an appropriate countermeasure has been required. This study, which uses survey data, examines various factors related to SA that could affect helicopter pilots. Common characteristics of situation awareness factors are that the result from the independent variables which are flight time, duty period and age of a first officer is statistically significant with the result from the independent variables of an instructor pilot's. However, only experience is statistically significant independent variable for factors influencing decision making in emergency situations, but anxiety, expectation and comprehension are not significant.

• Journal of the Korean Operations Research and Management Science Society
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• v.21 no.3
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• pp.159-174
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• 1996

Facing decision-making tasks, managers frequently make judgments, However, since managers are human beings, the fficiency of their judgments is limited. Two major sources of inefficiency in their judgments have been recognized : one is systematic deviations from normatively preferred decisions, so called bias or incorrect intuition, and the other is inconsistency in their judgments, i. e. erratic decision making variance. Rather than bias, variance is really expensive or damaging. Thus, if the inconsistency inmanagers judgments is removed, performance could be by far improved by virtue of the reduced random variance. One of the approaches to improve managerial judgment is to simply bring managers together by effectively moderating the random variance due to inconsistency. Focusing on combining judgments, this paper addresses many relevant issues such as why combining and how to combine judgments, and suggests methods and models to effectively aggregate subjective judgments, We conduct an experiment to validata the effectiveness of combining jugements over individual judgments. Various combining schemes are also evaluated in terms of their prective accuracy. Among them, mean bias based wighting scheme turns out the best. However, when available information is not enough to estimate the expertise of judges, simple and robust equal weighting might be more efficient and productive. This urges an imperative future research on the issue of how many and which ones to combine from a large set of experts.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.411-420
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• 2021

Based on the Financial Management Information Systems (FMIS) variables and supporting arenas, the current study aims to highlight the importance of FMIS in supporting organizations to achieve organizational excellence (Managing Liabilities, Support Decision Making, Cost Efficiency, Financial Quality, and Security). A quantitative approach was utilized by adopting a questionnaire as a tool. A convenient sample of (249) individuals from different Kuwaiti SMEs answered the questionnaire. SPSS v. 26 was used to analyze gathered data. The study's findings revealed that FMIS has a significant impact on organizational trials to achieve organizational excellence. This impact was most noticeable on the level of cost-efficiency, with an R-value of 0.583, followed by a positive impact on security, with an R-value of 0.453. Based on the results, it can be widely generalized that FMIS can help the organization reach organizational excellence through managing its financial affairs. As a result, the study recommends paying more attention to the quality of data presented to FMIS, keeping in mind that human errors in data entry might result in incorrect and malfunctioned data, even if it is processed by FMIS. FMIS also improves the ability of an organization to schedule financial information, such as obligations, receivables, debts, payments, and expenses.