• Child Health Nursing Research
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• v.18 no.2
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• pp.53-59
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• 2012

Purpose: This study was done to verify the reliability and validity of the Korean version of DMCI in Korean adolescents. Methods: A methodological study design was used with Cronbach's ${\alpha}$ for reliability, and an exploratory factor analysis and contrasted groups approach for construct validity. DMCI was translated into Korean and tested with a sample of 406 adolescents in Korea. The data were analyzed using Cronbach's ${\alpha}$, item correlation with total, principal component factor analysis, and t-test. Results: The translated content of the DMCI was validated by nursing faculty members and translation equivalency was obtained. The Cronbach's ${\alpha}$ of the DMCI simplified with 18 items was .78. The factor analysis revealed three factors explaining 41.5% of total variance and the corresponding factors were self-observation (21.6%), self-judgement (11.4%), and self-confidence (8.6%). The mean score for the DMCI in the aggression group was significantly lower than the non-aggression group. Conclusion: Results of this study suggest that the Korean version of DMCI can used as a reliable and valid measure to assess decision making competency in Korean adolescents.

• Korean Medical Education Review
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• v.18 no.2
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• pp.90-98
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• 2016

Assessment tools for non-academic qualities such as ethics frequently employ hypothetical scenarios to lay out a contextual framework underlying the corresponding criteria of assessment. Due to the context-specific nature of the assessment criteria, details of the scenarios become very important in obtaining accurate results. This study aims to explore how medical school applicants differ in ethical decision making depending on the types of ethical dilemma scenarios, and how they correlate with academic achievements after admission. In 2014, all 82 applicants invited for an admission interview for a graduate-entry program were asked to complete a questionnaire comprised of 13 hypothetical scenarios. There were three domains (unethical business decisions, unethical academic decisions, and sexual quid pro quos) and participants were made to choose between the profitable-but-unethical choice or the unprofitable-but-ethical choice, using a four-point Likert-type scale. On average, tendencies toward unethical decisions were lowest for sexual favors ($1.34{\pm}0.46$), and highest for gaining academic advantages ($2.22{\pm}0.56$). Unethical decisions for academic advantages and sexual benefits showed significant correlation respectively with the female gender and those who graduated from overseas universities. In addition, the propensity for choosing unethical academic decisions was significantly correlated with high academic achievements in medical school (r=0.396). Not only does this study demonstrate that different levels of ethical decision making depend on the scenarios, but also those differences may be a determinant factor in subsequent academic performances in medical school. In conclusion, given the possible influence of the details of the hypothetical scenarios to the applicant's responses, careful consideration must be given during their development.

• Journal of Biosystems Engineering
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• v.25 no.5
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• pp.391-398
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• 2000

This study was performed to analyze the holding pace and decision factors of tractor in Korea and Japan, which probably should be used for making master plan of agricultural mechanization. The logistic function is used for holding pace estimation of tractor, and log-log function for analysis of decision factors. The results of this study are as follows: First, the increasing rate of the total amount of holding tractor power in Korea has been over that in Japan during 1980∼、94 which is now, however, under Japan. So, it could be forecasted that the per tractor holding power in Japan will increase continuously, and will be over 30PS in the short run. Second, the most important one of decision factors to support tractor demand is agricultural income in Korea, but on the other hand Non-Agricultural Income in Japan. From these, the fast increase of total amount of holding power of tractor in Korea could not expected, because Korea Agriculture has some difficulties to increase Agricultural Income. There are differences on the holding pace and decision factors of tractor between Korea and Japan, therefore, the plan of agricultural mechanization should be made in accordance with self-features.

• Korean Journal of Construction Engineering and Management
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• v.1 no.4 s.4
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• pp.74-81
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• 2000

The duration of construction in the construction works contains non-working days as well as working days. The duration is so relevant to climate that it should be calculated after fully considered about the regional climate in which construction processes. In most construction fields, however, there has been a frequent adjustment of duration because the field supervisor's experiences have decided non-working days indiscriminately without any accurate information about weather. Not only has that done great economic damages, but also caused many problems in interests among construction subject. So, in this study, we will analyse the elements of climate which has influences on the duration and implement the hypothetical weather simulation. By connecting the results of simulation with the duration of construction, we will propose the decision-making support model for the efficient calculation of duration when the field supervisor makes the projects schedule.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.106-121
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• 2016

While economic crises are happening internationally due to the global financial crisis and the long-term recession of the domestic economy, South Korea is also experiencing an aging society with the retirement of the baby-boomers and a low birth-rate. The rapid retirement of baby-boomers, which is one of the essential parts of the Korean economy, is ongoing. Consequently, the number of seniors showing interest in entrepreneurship, as a way to avoid the economic threat, is increasing. Therefore, this study examined the correlation between two factors and its success, which can be stated as the influence of decision making in entrepreneurship and the influence of promotion policies to entrepreneurship. A survey was taken from 393 people, who received academic and managerial assistance from the Senior-Founded Support Center of Small Business Market Corporation and Adults Incubators of Seoul-Business Agency. and 'Hypothesis 1-1' and 'Hypothesis 2-2' were selected, because a positive effect was derived at each verification process. As a result, under the decision making types of entrepreneurship, only a reasonable type showed a positive effect at both the financial outcome and non-financial outcome of success, and the intuitive type was affected positively by the non-financial outcome. In addition, under the entrepreneur supporting business, among financial support, managerial support and educational support only managerial support had a positive effect.

• Journal of Korea Technology Innovation Society
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• v.5 no.2
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• pp.228-244
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• 2002

The survey of research and development (R&D) in science and technology (S&T) covers the current status of R&D activities in S&T in Korea, and provides a basis for decision making regarding S&T policy. Continuous improvement of the survey is widely needed to present reliable national basic statistics. Therefore, the purpose of the study is two-fold: to introduce sampling survey method in industrial sector and to make statistical technique to deal with non-response data from industrial sector. To these ends, first, case studies of the United States and Japan are illustrated. A new sampling design for the R&D survey is proposed and implementing stratified random sampling scheme is suggested. Moreover, statistical analysis of the non-response data is dealt with. Based on several screening criteria, we develop a new imputation method suitable for the R&D survey and also provide more detailed implementation plan. Various solutions to a problem arising from non-response item are also presented. Finally, some implications of the results are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2156-2170
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• 2020

This paper presents a fire detection algorithm with a minimal false detection rate, intended for a thermal imaging surveillance environment, whose properties vary depending on temporal conditions of day or night and environmental changes. This algorithm was designed to minimize the false detection alarm rate while ensuring a high detection rate, as required in fire detection applications. It was necessary to reduce false fire detections due to non-flame elements occurring when existing fixed threshold-based fire detection methods were applied. To this end, adaptive flame thresholds that varied depending on the characteristics of input images, as well as the center of gravity of the heat-source and hot-source regions, were analyzed in an attempt to minimize such non-flame elements in the phase of selecting flame candidate blocks. Also, to remove any false detection elements caused by camera shaking, one of the most frequently raised issues at outdoor sites, preliminary decision thresholds were adaptively set to the motion pixel ratio of input images to maximize the accuracy of the preliminary decision. Finally, in addition to the preliminary decision results, the texture correlation and intensity of the flame candidate blocks were averaged for a specific period of time and tested for their conformity with the fire decision conditions before making the final decision. To verify the fire detection performance of the proposed algorithm, a total of ten test videos were subjected to computer simulation. As a result, the fire detection accuracy of the proposed algorithm was determined to be 94.24%, with minimum false detection, demonstrating its improved performance and practicality compared to previous fixed threshold-based algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2895-2921
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• 2018

Security has become one of the major concerns in mobile adhoc networks (MANETs). Data and voice communication amongst roaming battlefield entities (such as platoon of soldiers, inter-battlefield tanks and military aircrafts) served by MANETs throw several challenges. It requires complex securing strategy to address threats such as unauthorized network access, man in the middle attacks, denial of service etc., to provide highly reliable communication amongst the nodes. Intrusion Detection and Prevention System (IDPS) undoubtedly is a crucial ingredient to address these threats. IDPS in MANET is managed by Command Control Communication and Intelligence (C3I) system. It consists of networked computers in the tactical battle area that facilitates comprehensive situation awareness by the commanders for timely and optimum decision-making. Key issue in such IDPS mechanism is lack of Smart Learning Engine. We propose a novel behavioral based "Smart Multi-Instance Multi-Label Intrusion Detection and Prevention System (MIML-IDPS)" that follows a distributed and centralized architecture to support a Robust C3I System. This protocol is deployed in a virtually clustered non-uniform network topology with dynamic election of several virtual head nodes acting as a client Intrusion Detection agent connected to a centralized server IDPS located at Command and Control Center. Distributed virtual client nodes serve as the intelligent decision processing unit and centralized IDPS server act as a Smart MIML decision making unit. Simulation and experimental analysis shows the proposed protocol exhibits computational intelligence with counter attacks, efficient memory utilization, classification accuracy and decision convergence in securing C3I System in a Tactical Battlefield environment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.85-93
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• 2020

The paper investigates the impact of the statement of cash flows of listed companies on lending decisions of commercial banks in the context of Vietnam. Survey data for the research were collected from 160 credit officers of Vietnamese commercial banks for short-term and long-term lending decisions, whether the cash flow statement includes complete information or has a lack of information. The cash flow statement, in which the information on the cash flow is completely contrary to the profit information on the income statement is examined. This paper employed T-tests to address the research issues in a market considered to be ineffective, like Vietnam. The research results show: (1) the information on the cash flow statement affects both the short-term and long-term lending decisions of credit officers, and (2) the lack of information on the cash flow statement in both cases of positive and negative profits affects the comfort and confidence of credit officers in making decisions. The research findings also indicate that cash flow statements are important for lending decisions of credit institutions in Vietnam. Therefore, this paper provides a new insight to managers on how to improve the quality of cash flow statement to meet the needs of lenders.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.10a
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• pp.42-46
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• 1999

Knowledge management(KM) is emerging as a robust management mechanism with which an organization can remain highly intelligent and competitive in a turbulent market. Organization memory(or knowledge) is at the heart of KM success. How to create organizational memory has been debated among researchers. In literature, a wide variety of methods for creating organizational memory have been proposed only to prove that its applicability is limited to decision-making problems which require shallow or non-causal knowledge type. However, organizational memory with a sense of causal knowledge is highly required in solving complicated decision-making problems in which complex dynamics exist between various factors and influence each other with cause and effect relationship among them. In this respect, we propose a new approach to creating a causal-typed organizational memory (CATOM), which has a form of causal knowledge and is represented in a matrix form, by using an inference diagram. An algorithm for CATOM creation is suggested and applied to an illustrative example. Results show that our proposed KM approach can effectively equip an organization with semi-automated CATOM creation and inference process which is deemed useful in a highly competitive business environment.