• Korean Journal of Culture and Social Issue
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• v.23 no.1
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• pp.25-52
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• 2017

The purpose of this study is to explore the motivation for, expectations of, consequences of, and attitudes toward whistle-blowing. that whistle-blowers experience in the whistle-blowing process, and clarify the difference between the ideal and reality. Fourteen official whistle-blowers were interviewed and qualitative data were analyzed based on phenomenological approach. As a result, motivational themes appeared such as professional spirit and personal values. They also tried to pursue public interest such as social changes as well as public support for them. In addition, the participants believed that the cultural characteristics of Korean society such as vertical collectivism are responsible for the gap between ideals and reality of whistle-blowing. In particular, They also suggested a few alternative for reducing the gap.

• East Asian Economic Review
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• v.28 no.3
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• pp.359-388
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• 2024

With the escalation of global trade, the Chinese commodity futures market has ascended to a pivotal role within the international shipping landscape. The Shanghai Containerized Freight Index (SCFI), a leading indicator of the shipping industry's health, is particularly sensitive to the vicissitudes of the Chinese commodity futures sector. Nevertheless, a significant research gap exists regarding the application of Chinese commodity futures prices as predictive tools for the SCFI. To address this gap, the present study employs a comprehensive dataset spanning daily observations from March 24, 2017, to May 27, 2022, encompassing a total of 29,308 data points. We have crafted an innovative deep learning model that synergistically combines Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) architectures. The outcomes show that the CNN-LSTM model does a great job of finding the nonlinear dynamics in the SCFI dataset and accurately capturing its long-term temporal dependencies. The model can handle changes in random sample selection, data frequency, and structural shifts within the dataset. It achieved an impressive R² of 96.6% and did better than the LSTM and CNN models that were used alone. This research underscores the predictive prowess of the Chinese futures market in influencing the Shipping Cost Index, deepening our understanding of the intricate relationship between the shipping industry and the financial sphere. Furthermore, it broadens the scope of machine learning applications in maritime transportation management, paving the way for SCFI forecasting research. The study's findings offer potent decision-support tools and risk management solutions for logistics enterprises, shipping corporations, and governmental entities.

• The Transactions of the Korea Information Processing Society
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• v.13 no.9
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• pp.460-467
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• 2024

Targeted career development is critical for student success but is often lacking for underrepresented students at many public higher-education institutions due to insufficient career counseling resources. We propose an innovative career development tool leveraging Large Language Models (LLMs) to enhance student career prospects through three steps: (1) identifying relevant jobs by analyzing resumes, (2) pinpointing skill gaps using external resources such as classroom assignments, in addition to resumes, and (3) suggesting customized learning paths. Our tool accurately matches jobs in real-world settings, identifies true skill gaps while reducing false positives, and provides learning paths that receive high satisfaction scores from faculty. Future research will enhance the solution's capabilities by incorporating diverse external resources and leveraging advancements in LLM technology to better support early-stage career seekers.

• Journal of Environmental Policy
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• v.8 no.4
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• pp.25-36
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• 2009

The Total Pollutant Load Management System(TPLMS) in the Han River basin is being changed from a voluntary to a mandatory system. Accordingly, this study suggests directions and priorities for research that can support implementation of TPLMS through an objective approach that deploys gap analysis and analytic hierarchy processes (AHP). Gap analysis indicated that TPLMS in Korea is still focused on compliance with regulations, and that implementation of TPLMS is still in its early stage. Improvements are thus needed in flexibility and effectiveness, including introduction of emissions rights trading, and upgrading to a renewable emissions permit system. The AHP study indicated that R&D will need to proceed in parallel in multiple areas to improve systems and resolve scientific uncertainties. Balanced R&D will be needed in both the institutional and technical groups. Subgroup analysis indicated that developing a reasonable process to establish water quality management targets is of the highest priority in the institutional group. In the technical group, higher priority will need to be given to improving model reliability and developing innovative pollution load reduction technologies.

• Korean journal of communication and information
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• v.47
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• pp.120-147
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• 2009

The purpose of this paper is to promote bilateral friendly relations, the elements that hinder Hate Korea wave's(Kenkanryu) status and an analyzation of the characteristics of its causes and solutions for it. The Hate Korea wave is to be discussed in the fountain Hate Korea wave 2ch(2channel, ni channeru) acquaintances of information and representation to analyze the causes of this Japanese anti-Korean thinking. All of society should be aware of the differences and see what we have in common. I researched discussions of 2ch information and the content of other similar media. The expression was very violent. However, there was both general awareness of a gap between criticism and support. The gap was about what is not unusual on the Internet and not to be greatly concerned about. I also compares anti-Korean's awareness to Korea with general Japanese's, and finds that there are gap between them. For example by analyzing general Japanese's awareness we can find 18% of people who criticize the Hate Korea wave or have positive image of Korea. futhermore the proportion of anti-Korean contents in internet is not very high, so we don't have to worrying about the phenomenon seriously. but because of the following three points, there are sufficient needs to concern about the phenomenon constantly. First, sources of Hate Korea wave are traditional media. Second, the consumers of Hate Korea wave are mainly young generation who will make future relation of two countries. And last, Hate Korea wave include potential power to explode when certain conditions are met.

• The Journal of Korean Academic Society of Nursing Education
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• v.10 no.1
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• pp.54-63
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• 2004

The purpose of this study is to identify the factors that influence stress experienced by nursing students and to provide a perceived causal structure model among these variables. The ultimate goal of this study is to develop efficient guidance to clinical nursing education in this population. This study intends to apply perceived causal structure: network analysis method which was developed by Kelly(1983), and has been applied in nursing research. This method is selected to show dynamic relationship of stressor using network method. Data was collected from convenient sample of 186 junior college nursing students who had the clinical practice experience during 10 weeks. Data collection and analysis was conducted in 2 steps from December, 9, 2002 to February, 8, 2003. Step 1.: Data was collected using literature review(10 articles) to identify the causes of stress. Nine causes of stress were extracted. Step 2.: As perceived casual structure network study, data was collected using questionnaires which included 9 extracted cause and stress. The questionnaire contained a 10 X 10 grid table with 10 causes and effects printed. In network analysis, 'Yes' was scored as 1, 'No' was scored as 0, and the mean(maximum 1, minimum 0) was calculated. Construction of the network under inductive eliminative analysis which stopped the construction of the network when the consensual agreement level dropped near 50% was proceeded by adding causes in order of the mean rating level. In this study, construction of the final network was stopped by consensual agreement level of 52% of the total subjects. The results are summarized as follows : Step 1: Investigation of the causes of stress ; The extracted causes of stress from quality data was identified 9 categories ; negative nurse, lack of clinical practice opportunity, ambiguous role, negative patient, lack of nursing knowledge and skill, difficult of personal relations, inefficient clinical practice guidance, gap of theory and practice, lack of support. Step 2 : Construction of the perceived causal structure model ; 1) The most central cause of stress is ambiguous role in the systems of causation. 2) The distal cause of stress is inefficient clinical practice guidance 3) The causes that have a number of outgoing link are negative nurse, ambiguous role. 4) The causes that have a number of incoming link are ambiguous role, gap of theory- practice, lack of clinical practice opportunity, lack of nursing knowledge- skill. 5) There is a mutual relationship between stress and difficult of personal relations, stress and ambiguous role, ambiguous role and negative nurse, ambiguous role and lack of clinical practice opportunity, ambiguous role and lack of nursing knowledge-skill, lack of nursing knowledge-skill and gap of theory- practice. In conclusion, the network suggests that the first centre cause is related on ambiguous role and the second on negative nurse, inefficient clinical practice guidance in the systems of causation

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.636-644
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• 2019

The purpose of this study is to explore practical intervention strategies by identifying the relationships among digital informatization capacity, level of digital informatization accessability and life satisfaction of disabled people and to determine differences among these relationships depending on perceived level of social support networks. The participants were 1,639 disabled people from the 2017 digital information gap survey and the results, based on structural equation modeling and multi-group analysis, are as follows. First, digital informatization capacity has a positive influence on the level of digital informatization accessability(β=.65), and life satisfaction(β=.08). The level of digital informatization accessability also has positive influence on life satisfaction(β=.44). Second, the analysis result of the mediated effects of digital informatization accessability level between digital informatization capacity and life satisfaction was significant at a level (β=.29) even greater than the direct effect of digital informatization capacity on life satisfaction. Third, digital information capacity and digital informatization accessability have an influence on life satisfaction regardless of their perceived level of social support. The findings suggest that creating online environments where disabled people can enjoy leisure, culture, and social interaction with high accessibility and utility are as important as providing education for improving their digital informatization capacity.

• Korean Chemical Engineering Research
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• v.48 no.6
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• pp.717-724
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• 2010

The flash point is one of the most important physical properties used to determine the potential for fire and explosion hazards of flammable liquids. Despite the needs of the experimental flash point data for the design and construction of chemical plants, there is often a significant gap between the demands for the data and their availability. This study have built and compared two models of partial least squares(PLS) and support vector machine(SVM) to predict the experimental flash points of 893 organic compounds out of DIPPR 801. As the independent variables of the models, 65 functional groups were chosen based on the group contribution method that was oriented from the assumption that each fragment of a molecule contributes a certain amount to the value of its physical property, and the logarithm of molecular weight was added. The prediction errors calculated from cross-validation were employed to determine the optimal parameters of two models. And, an optimization technique should be used to get three parameters of SVM model. This work adopted particle swarm optimization that is one of heuristic optimization methods. As the selection of training data can affect the prediction performance, 100 data sets of randomly selected data were generated and tested. The PLS and SVM results of the average absolute errors for the whole data range from 13.86 K to 14.55 K and 7.44 K to 10.26 K, respectively, indicating that the predictive ability of the SVM is much superior than PLS.

• Journal of the Korean Home Economics Association
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• v.39 no.11
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• pp.129-144
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• 2001

In spite of rapid sociocultural changes and an increase in the number of nuclear families in recent years, quite many families in Korea still have taken the extended family form where daughter-in-law provides care for the elderly parents. Even though the nature of the inter-generational relationship in Korea is reciprocal in many regards, most of the studies looked at the burden or costs of coresidence with the elderly parents while relatively little attention has been given to the positive side of the coresidence. This study is an attempt to fill this gap in the area. The purpose of this study is to examine not only the costs but also benefits of the coresidence with the elderly parents. We also explore whether there is a rural-urban differences in costs and benefits of coresidence and related factors. For the purpose, data were gathered from 876 daughters-in-law of three generational family both in rural and urban area, using structured questionnaire. The statistical methods used for data analysis were descriptive statistics, cross tables, and regression analysis with SPSS/PC+ program. The major findings of this study were as follows: Marital and economic status of the elderly parents, age, job status and filial responsibility attitude of caregiver, sibling support, and coresidence duration were the significant variables predicting the level of perceived benefits. Marital status of elderly parents, income, job status, educational level, and filial responsibility altitude of caregiver, residence region affected the level of perceived costs. Rural-urban differences are found in many aspects of coresidence experiences and related factors. Rural caregivers receive higher level of the sibling support, have more traditional final responsibility altitude and perceived less costs and more benefit than urban caregivers. There also are differences in the factors influencing the level of perceived costs and benefits between rural and urban area. Level of sibling support and final responsibility attitude have significant impact on both the perceived costs and benefits. But there are differences in terms of that perceived costs and benefits of urban caregivers are affected by job status of caregivers while those of rural caregivers are affected by educational level of caregivers and marital status of elderly. The results confirm that Korean caregivers experience both positive and negative aspects of coresidence and shows that the nature of the inter-generational relationships differ between rural and urban Korea.

• Journal of the Korea Safety Management & Science
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• v.15 no.3
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• pp.151-161
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• 2013

This paper proposes a strategic model of linkage between productivity metrics and financial accounting metrics to properly evaluate the financial effect of TPM activities and the business performance. This linkage strategy provides a connection tool for clear communication between factory-level and headquarters that the metrics proposed by this paper ultimately improves a quality of support from the management by receiving the factors required for productivity activities in the practical field. This factor includes such as equipment, raw materials and labors. Here, we propose that chain reaction models using break down structure of productivity metrics and financial metrics enhance the knowledge sharing of KPI (Key Performance Indicator) which generally tend to create oversimplified communication between management in headquarters and employees in the practical fields. The productivity metrics include OEE(Overall Equipment Effectiveness) of TPM (Total Productive Maintenance), OLE (Overall Labor Effectiveness) of PAC(Performance and Analysis and Control) activities, and OYE (Overall Yield Effectiveness) of TMM(Total Material Management) activities. The financial accounting metrics include ROE(Return on Equity), ROA(Return on Asset), and AVR(Added-Value Rate). The suggested chain reaction model selects the financial metrics as initial stage and branch down until final stage of productivity metrics. When demand exceeds supply, an ideal speed rate, the lean OEE strategy can be initially applied to reduce the gap between the demand and supply, then apply variable costing to estimate correct amount of operating profit. In addition, the paper presents a new type of model for linkage between financial accounting metrics including CAPEX(Capital Expenditure), OPEX(Operating Expenditure), EVA(Economic Added Value), DCL(Degree of Combined Leverage), and TPM productivity activities including AM(Autonomous Maintenance), PM(Preventive Maintenance), MP(Maintenance Prevention) and QM(Quality Maintenance). In order to support the evidence of proposed linkage strategy, a case analysis on 52 projects from national TPM contest from 2011 to 2012 is analyzed. The case presents the classification of CAPEX and OPEX activities from TPM, and proposes the correct implementation of financial effect for TPM projects.