• Korean Journal of Community Nutrition
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• v.23 no.5
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• pp.411-423
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• 2018

Objectives: The purpose of this study was to develop new meal planning tools for a nutritionally balanced diet. Methods: Based on the food exchange list for diabetes, we adjusted the food group classification system to reflect the suggested nutritional factors for chronic disease prevention and health promotion. We developed a nutritionally balanced dietary profile for adults and compared it with the dietary reference intakes for Koreans (KDRIs) and the food pattern recommended by the Korean Diabetes Association. Results: The newly developed menu planning tools are the LOHAS food exchange table and the LOHAS food pattern. Our recommended daily 1,800 kcal dietary composition for adults is as follows: The carbohydrate food group consists of 4 'whole grains', 3 'refined grains', 2 'sugars', 9 'vegetables', 3 'starchy vegetables', 2 'fruits' and 1 'high sugar fruits'. The protein food group includes 3 'plant protein foods', 3 'animal protein foods (low-fat)', and 1 'animal protein foods (high-fat)'. The fat food group consists of 2 'oils and nuts' and 1 'solid fats'. The total number of calories is estimated at 1,840 kcal and the energy ratio is 62% carbohydrate, 18% protein, 20% fat, 6.8% saturated fat and 13.2% sugars. Using the LOHAS food exchange table, it is possible to estimate values of saturated fat, unsaturated fat, dietary fiber, and sugars besides carbohydrate, protein and fat. It is also possible to compose a dietary design considering carbohydrate, sugars, saturated fat and dietary fiber. The LOHAS food pattern provides benefits for the management of both institutional food services and individual meals, as it can help reduce the levels of saturated fat and sugar intake and help develop healthy meals rich in unsaturated fats and dietary fiber. Conclusions: The LOHAS food exchange table and LOHAS food pattern are expected to be practical tools for designing and evaluating nutritionally balanced diets.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1345-1352
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• 2014

Data mining is the representative methodology to obtain meaningful information in the era of big data.By Wikipedia, association rule learning is a popular and well researched method for discovering interesting relationship between itemsets in large databases using association thresholds. It is intended to identify strong rules discovered in databases using different interestingness measures. Unlike general association rule, inverse association rule mining finds the rules that a special item does not occur if an item does not occur. If two types of association rule can be simultaneously considered, we can obtain the marketing information for some related products as well as the information of specific product marketing. In this paper, we propose a balanced attributable relative accuracy applicable to these association rule techniques, and then check the three conditions of interestingness measures by Piatetsky-Shapiro (1991). The comparative studies with rule accuracy, relative accuracy, attributable relative accuracy, and balanced attributable relative accuracy are shown by numerical example. The results show that balanced attributable relative accuracy is better than any other accuracy measures.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.2
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• pp.83-94
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• 2020

Busan Metropolitan City, a research site of this study, was promoted to a metropolitan city in 1995 with the implementation of the local autonomy system, and the overall change was made as it absorbed the surrounding areas to address the shortage of population and space. Twenty-five years after the introduction of the local autonomy system, it is necessary to diagnose whether balanced development of the entire city is being made in accordance with the reorganization of the metropolitan city in terms of spatial structure. In this study, changes in spatial structure and regional characteristics were analyzed by applying population potential, which means potential for future spatial interaction, in time and space. According to the analysis, the development was taking place around the center area and the sub-center established by the urban master plan, but Gangseo-gu and Gijang-gun, which were incorporated in the past, remained stagnant. In addition, it was shown that the spatial expansion of the city was suppressed by the green belt surrounding the city. However, in other regions where the green belt is located, the city has been expanded, which is different from Gijang-gun or Gangseo-gu, which was incorporated into the metropolitan city. Therefore, the cause of the decline in incorporated areas should not be limited to the institutional dimension of land use regulation. Growth management and balanced development plans will be necessary for the development of declining old downtowns and underdeveloped incorporated areas.

• Journal of Korean Society of Rural Planning
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• v.26 no.1
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• pp.23-38
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• 2020

This study is aimed at the deduction of the important priority factors by setting the comprehensive rate in each of the economy, sociability and environmental areas for the sustainable development of fishing villages. As the research methods, review of domestic and overseas literature and Delphi questionnaire survey on experts, and hierarchical structure analysis were executed. Accordingly, this study is aimed at providing the basic data at the time of establishing plans by assessing the level of importance and priorities for each item through the deduction of the elements necessary for the fishing village plan. Key results of the study are as follows. First, as the results of review of domestic and overseas literature related to sustainability indices of fishing villages, a total of 50 items in the areas of economy, sociability and environment were deduced. Second, validity for each area was confirmed through Delphi questionnaire survey on experts. Third, as the results of factor analysis conducted on the basis of the hierarchical structure analysis for detailed items for each sector, 3 factors in the economic area, 2 factors in the social area and 3 factors in environment area were deduced. Fourth, as the results of the relative importance of the higher tiers, economic sector (0.528) displayed results that are more than 2 times higher than the social (0.261) and environmental (0.212) sectors. Establishment of foundation for independent competition (0.105), balanced development of small fishing village (0.086) and population engaged in economic activities in comparison to the fishing village population (0.077) were analyzed as the most important detailed items. Based on these results, experts pointed out that the economic sector is most important for the sustainable development of fishing village and, in detail, priority must be placed on the balanced development on the basis if the extent of independence of the fishing villages, and emphasized activation of residents engaged in economic activities in fishing villages in order to support them. That is, in order to increase the level of independence of the fishing villages, it was determined that there is a dire needs for expansion of diversified specialized businesses and infrastructural facilities through agreement by the residents capable of economic activities, and means of activating fishing villages through securing of budget at the local autonomous government level to provide support for the residents.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.2
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• pp.40-51
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• 2021

The purpose of this study is to diagnose urban spatial structures using spatial modeling techniques for balanced urban development as part of sustainable urban growth management. Since urban spatial structure is an interaction of various activities, it is necessary to interpret the analysis results in conjunction with the analysis of changes in spatial structural elements. In this study, population and transportation were approached for research purposes. Population data were applied to the Getis-Ord G_i^* method, a spatial statistical technique, to analyze the concentration-decreasing region of the population. Traffic data analyzed the trend of centrality change by applying commuting traffic O-D data to Social Network Analysis techniques. The analysis showed that urban imbalance was growing, and the centrality of transportation was changing. The results of the analysis of spatial structure elements could be interpreted by linking the results of each factor to each neighborhood unit, predicting changes in urban spatial structure and suggesting directions for sustainable urban growth management.These results could also be used as a decision-making tool for various urban growth management policies introduced to cope with rapid urban development and uncontrollable development in many cities around the world.

• International Area Studies Review
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• v.21 no.4
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• pp.125-139
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• 2017

This study analyzes the determinants and patterns of regional migration in Myanmar. Population migration is affected by various factors such as economic and social factors as well as regional characteristics. It is affected by factors such as income, employment and social overhead capital. Therefore, this study attempts to analyze the following two research problems. First, I would like to analyze whether the reform and opening of Myanmar is causing the migration of rural to urban population. Myanmar is also trying to verify the pattern of population migration experienced by other developing countries. Second, we analyze the impact of social overhead capital on population migration in Myanmar. We analyze the impact of basic infrastructure such as roads, electricity and water on population movements. This will give implications for investment policy decision of social overhead capital for balanced regional development. First, the pattern of population migration in Myanmar is shifting from rural to urban areas, as other developing countries have experienced. Myanmar's urban areas of Yangon and Mandalay have been analyzed as having migration. Second, the expansion of social overhead capital was found to have an impact. Social overhead capital such as roads and educational environments were analyzed to have the capacity to inhale the population. Especially, the educational environment of the region has a great effect on population migration. It is analyzed that education reform is an important policy issue for the balanced regional development of Myanmar. Fourth, employment opportunities were analyzed to have the greatest impact on Myanmar population movements. In the early stage of economic development, it is analyzed that the population moves to a region where employment opportunity is high in the situation where foreign capital is coming in. It is analyzed that the direction of inflow of foreign capital and the imbalance of development in the region will be determined in the situation where the economic development is carried out through foreign capital.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.86-97
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• 2014

Incheon Free Economic Zone is the first free economic zone specified in 2003 in Korea. Previous research on the Free Economic Zone has focused on the activation of the free economic zone or foreign investment issue at the level of the national economic plan. Related to the development of a free economic zone, studies are currently insufficient on the relevance of the local economy, the development of linkages with hinterland, and the balanced regional development. Therefore, this study tried to investigate the impact of Incheon Free Economic Zone to the local economy through analyzing the causes and characteristics of the imbalance between the regions in Incheon by comparing before (1996~2002) and after (2003~2009) of the Incheon Free Economic Zone legislation (2003). The result shows that development of the free economic zone has not been connected to the local economy activation and the ripple effect on the old town in Incheon. Further, the construction of a large apartment and infrastructure in the free economic zones have increased the disparity between the free zones and the old town.

• Journal of Korean Academy of Nursing
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• v.45 no.3
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• pp.429-438
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• 2015

Purpose: This study was conducted to develop key performance indicators (KPIs) for home care nursing (HCN) based on a balanced scorecard, and to construct a performance prediction model of strategic objectives using the Bayesian Belief Network (BBN). Methods: This methodological study included four steps: establishment of KPIs, performance prediction modeling, development of a performance prediction model using BBN, and simulation of a suggested nursing management strategy. An HCN expert group and a staff group participated. The content validity index was analyzed using STATA 13.0, and BBN was analyzed using HUGIN 8.0. Results: We generated a list of KPIs composed of 4 perspectives, 10 strategic objectives, and 31 KPIs. In the validity test of the performance prediction model, the factor with the greatest variance for increasing profit was maximum cost reduction of HCN services. The factor with the smallest variance for increasing profit was a minimum image improvement for HCN. During sensitivity analysis, the probability of the expert group did not affect the sensitivity. Furthermore, simulation of a 10% image improvement predicted the most effective way to increase profit. Conclusion: KPIs of HCN can estimate financial and non-financial performance. The performance prediction model for HCN will be useful to improve performance.

• Journal of Korean Academy of Nursing
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• v.38 no.5
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• pp.656-666
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• 2008

Purpose: The purpose of this study was to develop visions of nursing service, nursing strategies and key performance indicators (KPIs) for an intensive care unit (ICU) based on a Balanced Scorecard (BSC). Methods: This study was undertaken by using methodological research. The development process consisted of four phases; the first phase was to develop the vision of nursing in ICUs. The second phase was to develop strategies according to 4 perspectives of a BSC. The third phase was to develop KPIs according to the 4 perspectives of BSC and the final phase was to combine the nursing visions, strategies and KPIs of ICUs. Results: Two main visions of nursing service for ICUs were established. These were 'realization of harmonized professional nursing with human respect' and 'recovery of health through specialized nursing' respectively. In order to reach the aim of developing nursing visions, thirteen practical strategies and nineteen KPIs were developed by four perspectives of the BSC. Conclusion: The results will be used as objective fundamental data to attain business outcomes for the achievement of nursing visions and strategies of ICUs.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.273-287
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• 2013

The objective of this study is to empirically develop performance evaluation measures for LIS (logistics information systems) based upon BSC (balanced scorecard) model and determine the relative importance among four perspectives of BSC using AHP (analytic hierarchy process) methodology. Above all, forty nine probable measures for evaluating LIS performance were identified through reviewing the previous research related with SCM (supply chain management), logistics management, and information systems evaluation. And then, these probable measures were examined by means of coincidence analyses using three mutually exclusive criteria(validity of content, ease of measurement and reliability of measurement). Data for conducting the coincidence analyses were collected from LIS users and LIS development personnel. As the results of the coincidence analyses, it was found that 31 ones among 49 probable performance evaluation measures theoretically derived could be qualified for LIS performance evaluation. And AHP analysis showed that the weight of each perspective was respectively as follows : 46.8% for financial perspective, 31.3% for customer perspective, 14.8% for internal business process perspective, and 7.1% for learning and growth perspective. The academic contribution of this study is that performance evaluation measures for LIS could be systematically and empirically developed on the basis of BSC. Also, the results of this study are expected to be used as a practice guideline of evaluating and improving LIS.