• Korean Business Review
• /
• v.11
• /
• pp.39-66
• /
• 1998

Based on the empirical analysis result of informatization in Kang Won province, the major goals of diffusion for the advanced informational society may be summarized as follows: (i) The basic goal for local informatization, an affluent wealthy society for our life, should be come true. (ii) The informatization should be forwarded in order to accelerate the domestic industrial promotion. (iii) The formation of nucleus cities for information backbone in Kang Won province & local informatization based on balance and combination between city and rural and between regions should be forwarded. In order to establish the domestic informatization referred above, the following specific practice should be accompanied. (a) The effective separation of role and affair on local informatization between central and local governments should be studied. (b) The financial resources should be considered, due to the economic unbalance between locals. (c) The preparation for local informatization spreading method by private enterprise's initiative rather than the government's. (d) The specification of the systematic support for the local informatization business by central government. (e) The establishment of collaboration with the other city, province and local government.

• 대한공업교육학회지
• /
• v.30 no.2
• /
• pp.60-71
• /
• 2005

A pendulum of industrial education begins to shift from one based on industrialized society to one on information-based age. To produce an effective result in this situation, It is necessary that an accurate estimate of a change in the circumstances of industrial high schools of Gyeonggi-do. This study researched the province's characteristics and countermeasures on industrial education adjusting the change of industrial environments by regional groups and suggested the solutions as follows. First, This study classified Gyeonggi-do into 9 regions considering the region's respective industrial structure and suggested the structure adjustment plan. Second, This study suggested '3-type curriculum management plan' based on the structure adjustment plan of industrial high schools. It includes employment-centered curriculum which provides the human resources required by industrial community, foundation-centered curriculum which revitalizes starting up a enterprises and clears up the manpower problems, college preparation-centered curriculum which meets the need of the students who are much interested in going to the next stage of education. Third, this study suggested a solution to a problem of surplus industry teacher. It includes 3 methods: Increasing practical training from 2 ours to 3 hours, assigning teachers for a task of academic-industrial collaboration and career counseling, qualifying industrial teachers for another course by minor. An amicable settlement on these matters requires a systematic administrative and financial support based on closely connected governmental-academic-industrial collaboration.

• 모자간호학회지
• /
• v.4 no.1
• /
• pp.80-90
• /
• 1994

Concept analysis is a strategy that examines the attributes or characteristics of a concept. It is a formal linguistic exercise to determine those defining attributes. The basic purpose of concept analysis is to clarify ambiguous concepts in theory, and to propose a precise operational definition which reflects the theoretical base of the concept. The concept of maternal role is too broad and variable in expression, therefore there has been no authentic definition nor standard opinion for this concept. The purpose of this study is to clarify the concept of maternal role which in turn will help in the development of a theory of maternal role attainment. In order to analyze the concept of maternal role, much effort was extended to look up "maternal role" in various dictionaries and literature, but only a few cases were found which listed this terminology. Consultation on the meaning of "mother" and "role" separately was then done and consequently a definition of "maternal role" was obtained through concept analysis of these two words independently, finding their attributes and unifying them. The attributes of the concept of maternal role which was analyzed based on the steps of concept analysis by Walker & Avant (1988) are : 1) Women who have pregnancies 2) Women who have a child 3) Women who rear a child 4) Expected behavior according to social status 5) Learning through social cultures 6) Social interrelationships. The antecedents of the maternal role are : 1) women who are pregnant and deliver a baby, must keep in contact with their child. 2) Circumstances for childrearing must be provided. 3) Formation of self-concept as mother should be developed, cognitive activity, which is necessary for the nurturing activity, financial support and preparation of childrearing should be provided. And the consequences of the maternal role are : 1) Improvement 2) Changeability 3) Ambiguity 4) Stability Through this concept analysis, the concept of the maternal role is defined as "expected behavior by social interrelationships and learned nurturing behavior through social cultures."

• Korean Journal of Construction Engineering and Management
• /
• v.14 no.3
• /
• pp.22-32
• /
• 2013

Generally, asset management procedure consists of exact information collection, decision of service level, analysis of aspiration level, analysis of financial condition and available budget, preparation of asset management plan, and value of modified asset. In this study, for the risk-based asset management, condition assessment and performance measuring, assessment of failure modes and risks, evaluation/selection of treatment options, and implementation of optimum solution are additionally included. For this, bridge inventory and performance measure considering risks are classified and method of quantitative/qualitative performance measure is suggested. Also, evaluation method of risk analysis for bridge asset management is suggested and basic research is carried out for applicable method of risk-based asset management. Using suggested risk procedure and method of risk-based bridge service level evaluation, it is possible to perform resonable asset management. Moreover, it is concluded that the proposed applicable method of risk-based asset management will provide a solution to contribute the development of systematical asset management for optimal decision making and prototype asset management system.

• Korean Journal of Community Nutrition
• /
• v.13 no.3
• /
• pp.405-417
• /
• 2008

The purpose of the study was to investigate the sanitation management status and implementation barriers of the HACCP system. A survey was conducted based on 760 schools through e-mail after having gone through phone interviews to dieticians in Seoul, Gyeonggi and Incheon areas from December 2006 to March 2007. The following statistics were drawn out from the 459 surveys out of the 760, thus giving a response rate of 60.4% (N = 459). The statistical data analysis was completed using the SPSS program. 92.6% of the respondents operated sanitary education once a month and 67.1 % used internet as their sanitary educational source. 50.5% of the pre-preparation rooms were not divided and 78.0% of kitchen floors were always kept wet. Only 15.7% of the respondents used heat and cold insulators and 73.2% of drinking water was natural or purified water. 60.3% of food trays were electronically sterilized and 70.2% of spoons and chopsticks were sterilized by boiling water. The main cause of food-borne diseases was the lack of facilities and equipment (33.1%). Also, the deficiency of facilities and equipment (4.07 points) acted as an implementation barrier of the HACCP system. Compared to Gyeonggi or Incheon area results, Seoul's facilities and equipment (p < 0.001) and implementing barriers of the HACCP system (p < 0.001) results came out relatively high. After the analysis of the implementation barriers of the HACCP system, 91.7% of school principals said it was difficult to apply the HACCP system due to lack of financial support. In consideration to the school foodservice support, solutions for the facilities of school foodservice and a systematic sanitary education of the HACCP system must be made for the employees and everyone else who are related.

• Korean Journal of Social Welfare Studies
• /
• v.44 no.1
• /
• pp.113-134
• /
• 2013

The aim of this qualitative study was to explore and understand the planning experiences of dreams and vision of the youths living in poorer area, from their own perspectives. The contents of their dreams and vision, and the preparation process to realize them and their realistic expectation for the future were experientially and systematically explored by qualitative methods. The participants were middle school students living in poorer neighborhood, recruited from 24 social work agencies under the umbrella of World Visions Korea. Focused group interviews were carried out in 24 World Visions agencies. The collected data was analyzed according to the content analysis methods. The results showed that the poor youths' dreams and vision were molded by their real experiences and continuously updated or frustrated by personal interaction with surrounding environment. It was also verified that poor youths were experiencing great difficulties in materializing their vision into practical careers due to the scarcity of emotional and financial support. Therefore, we suggest that direct and indirect social support should be provided to boost their interest in dreams and future, and that participation-oriented career guidance programs should be vitalized to help them to overcome their environmental obstacles.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.1
• /
• pp.77-82
• /
• 2019

AI is applied increasingly to overall industries such as living, medical, financial service, autonomous car, etc. thanks to rapid technology development. AI-leading countries are strengthening their competency to secure competitiveness since AI is positioned as the core technology in $4^{th}$ Industrial Revolution. Although Korea has the competitive IT infra and human resources, it lags behind traditional AI-leaders like United States, Canada, Japan and, even China which devotes all its might to develop intelligent technology-intentive industry. AI is the critical technology influencing on the national industry in the near future according to advancement of intelligent information society so that concentration of capability is required with national interest. Also, joint development with global AI-leading companies as well as development of own technology are crucial to prevent technology subordination. Additionally, regulatory reform and preparation of related law are very urgent.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.281-290
• /
• 2019

This study analyzed the recognition types of the economic burden for cancer treatment and the characteristics of each recognition type by employing Q methodology. For this study, we determined the final 45 Q statements by conducting literature surveys, internet searches and in-depth interviews. The P samples are 35 people of cancer patients, their family members, and experts. The Q statements were classified according to the forced normal distribution method and the collected data was analyzed using the PC QUANL program. For the analysis results, we extracted four recognition types on the economic burden of cancer treatment, and we named them 'uncertain anxiety', 'acceptance by family burden', 'object to challenge with active response' and 'insurance preparation', depending on their characteristics. The results of this study can be used as a basis for preparing the clinical intervention plan and the policies for cancer patients and the families involved in the fields of medicine, nursing and social welfare.

• Nutrition Research and Practice
• /
• v.17 no.6
• /
• pp.1185-1200
• /
• 2023

BACKGROUND/OBJECTIVES: In the United States, one in every 5 children is obese with greater likelihood in low-income households. The coronavirus disease 2019 (COVID-19) pandemic may have accelerated disparities in child obesity risk factors, such as poor dietary intake and increased sedentary behaviors, among low-income families because of financial difficulties, social isolation and other struggles. This study reveals insights into nutrition and health challenges among low-income families of young children in West Texas to better understand needs and develop interventions. SUBJECTS/METHODS: In-depth individual interviews were performed via Zoom among 11 families of children under the age of 3. A semi-structured interview guide was developed to explore 3 areas: changes in (1) dietary intake and (2) sedentary behaviors and (3) families' preferences regarding a parent nutrition education program. Each interview was audiorecorded, transcribed, and coded using MaxQDA software. RESULTS: Eating together as a family become challenging because of irregular work schedules during the COVID-19 pandemic. Most parents stated that their children's dietary habits shifted with an increased consumption of processed foods. Many parents are unable to afford healthful foods and have utilized food and nutrition assistance programs to help feed their families. All families reported that their children's screen time substantially increased compared to the pre-pandemic times. Moreover, the majority of parents did not associate child screen time with an obesity risk, so this area could be of particular interest for future interventions. Meal preparation ideas, remote modality, and early timing were identified as key intervention strategies. CONCLUSIONS: Online nutrition interventions that emphasize the guidelines for child screen time and regular meal routines will be effective and promising tools to reach low-income parents for early childhood health promotion and obesity prevention.

• Journal of Intelligence and Information Systems
• /
• v.26 no.2
• /
• pp.105-129
• /
• 2020

This study uses corporate data from 2012 to 2018 when K-IFRS was applied in earnest to predict default risks. The data used in the analysis totaled 10,545 rows, consisting of 160 columns including 38 in the statement of financial position, 26 in the statement of comprehensive income, 11 in the statement of cash flows, and 76 in the index of financial ratios. Unlike most previous prior studies used the default event as the basis for learning about default risk, this study calculated default risk using the market capitalization and stock price volatility of each company based on the Merton model. Through this, it was able to solve the problem of data imbalance due to the scarcity of default events, which had been pointed out as the limitation of the existing methodology, and the problem of reflecting the difference in default risk that exists within ordinary companies. Because learning was conducted only by using corporate information available to unlisted companies, default risks of unlisted companies without stock price information can be appropriately derived. Through this, it can provide stable default risk assessment services to unlisted companies that are difficult to determine proper default risk with traditional credit rating models such as small and medium-sized companies and startups. Although there has been an active study of predicting corporate default risks using machine learning recently, model bias issues exist because most studies are making predictions based on a single model. Stable and reliable valuation methodology is required for the calculation of default risk, given that the entity's default risk information is very widely utilized in the market and the sensitivity to the difference in default risk is high. Also, Strict standards are also required for methods of calculation. The credit rating method stipulated by the Financial Services Commission in the Financial Investment Regulations calls for the preparation of evaluation methods, including verification of the adequacy of evaluation methods, in consideration of past statistical data and experiences on credit ratings and changes in future market conditions. This study allowed the reduction of individual models' bias by utilizing stacking ensemble techniques that synthesize various machine learning models. This allows us to capture complex nonlinear relationships between default risk and various corporate information and maximize the advantages of machine learning-based default risk prediction models that take less time to calculate. To calculate forecasts by sub model to be used as input data for the Stacking Ensemble model, training data were divided into seven pieces, and sub-models were trained in a divided set to produce forecasts. To compare the predictive power of the Stacking Ensemble model, Random Forest, MLP, and CNN models were trained with full training data, then the predictive power of each model was verified on the test set. The analysis showed that the Stacking Ensemble model exceeded the predictive power of the Random Forest model, which had the best performance on a single model. Next, to check for statistically significant differences between the Stacking Ensemble model and the forecasts for each individual model, the Pair between the Stacking Ensemble model and each individual model was constructed. Because the results of the Shapiro-wilk normality test also showed that all Pair did not follow normality, Using the nonparametric method wilcoxon rank sum test, we checked whether the two model forecasts that make up the Pair showed statistically significant differences. The analysis showed that the forecasts of the Staging Ensemble model showed statistically significant differences from those of the MLP model and CNN model. In addition, this study can provide a methodology that allows existing credit rating agencies to apply machine learning-based bankruptcy risk prediction methodologies, given that traditional credit rating models can also be reflected as sub-models to calculate the final default probability. Also, the Stacking Ensemble techniques proposed in this study can help design to meet the requirements of the Financial Investment Business Regulations through the combination of various sub-models. We hope that this research will be used as a resource to increase practical use by overcoming and improving the limitations of existing machine learning-based models.