• Korean Journal of Child Studies
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• v.26 no.1
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• pp.183-202
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• 2005

This study performed intensive indicators based on a model of economics of education. Trends of childcare in Korea were obtained by producing values developed with statistical data. Results showed that such simple initial indicator values as numbers of children, institutions and teachers have improved. However, intensive indicator values that take demographic and economic conditions into consideration have not reached the same rate of progress as the initial indicator values. In other words, qualitative growth remains at an unsatisfactory level in comparison to quantitative growth and to qualitative growth in members of the Organization for Economics Cooperation and Development (OECD).Thus, financial investment by the government should be expanded in order to reach the desired level of high quality in daycare for children.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1313-1320
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• 2011

World Business Council for Sustainable Development(WBCSD) is effort to achieve sustainable development in economic growth, environmental preservation and social development. Being this way, it is essential for developing evaluation tool which quantify to fulfill sustainable development. Eco-efficiency is one of the quantitative tools to evaluate environmental impact and economic aspect. Eco-efficiency, in general term, means creating more value of product or services with less impact to environment. It indicates as environmental impact in denominator and value of product or services in numerator. Eco-efficiency shows how much economic value reveals to unit environmental impact caused by product or service as an indicator. This study aims at developing eco-efficiency indicator of railway industry considering use stage among the entire life cycle stage of KTX and Saemaul train and also, figure out eco-efficiency value through indicator. Therethrough, it is enables to evaluate created value per environmental aspects. Since rail vehicles demands a lot of energy to transport people during use stage, the environmental impact is more significant than other lkfe cycle stages. Therefore, it quantified environmental indicator as CO2 emission and economic indicator as transportation record per a year with an annual income. This study contributes to be used as a tool for quantifying indicator of comparison evaluation in respect of rail vehicle in use stage.

• Journal of Community Nutrition
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• v.1 no.1
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• pp.39-43
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• 1999

Anthropometric measurements, particularly weight and height, are the most commonly employed measures of nutritional status in epidemiologic studies because of their simplicity and ease of collection. However, the usefulness of the anthropometric indicator is controversial. The aim of this study was to evaluate the usefulness of the anthropometric indicator to represent the nutritional status of individual adult in epidemiologic studies. In order to evaluate the usefulness of the anthropometric indicator to represent the nutritional status of individual, the validity in terms of sensitivity and specificity of anthropometric indicators was estimated by comparing the biochemical indicators to the reference indicators. The relative validity of dietary intake indicators was also measured for comparison between the three indicators of biochemistry, anthropometry and dietary assessment. The results showed that sensitivity of weight and height and dietary indicators were 16.7 an 50.5, respectively comparing the reference value of 100 as biochemical indicator in identifying anemic adults. Whereas the sensitivity of weight and height and dietary indicators were 63.6 and 36.4, respectively comparing reference value of 100 in identifying hyperlipidemic individuals(obesity). In conclusion, the validity of weight and height is much lower than that of biochemical indicator, burt weight and height still has some usefulness in identifying anemic individuals. Especially, it is more useful in identifying hyperlipidemic individual adults thant in identifying anemic individuals.

• 한국데이터정보과학회:학술대회논문집
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• 2005.04a
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• pp.185-192
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• 2005

There are many data mining techniques such as association rule, decision tree, neural network analysis, clustering, genetic algorithm, bayesian network, memory-based reasoning, etc. We analyze 2003 Gyeongnam social indicator survey data using k-means clustering technique for environmental information. Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper, we used k-means clustering of several clustering techniques. The k-means clustering is classified as a partitional clustering method. We can apply k-means clustering outputs to environmental preservation and environmental improvement.

• Journal of the Korean Society for Railway
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• v.9 no.4 s.35
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• pp.504-509
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• 2006

Currently, most of TDIS(Train Destination Indicator System) is operated colored-LED type equipment in Korea. This current LED type TDIS equipment has not graceful display and causes passenger's fatigues because of the LED module inherent characteristics as a display light source, high power consumption, high operating and maintenance costs, and et al. To address these several, we are developed new colored-LCD type TDIS equipment. According to our developed new TDIS equipment, we can achieve high resolution and graceful color stone of information display. Thus high graded service are able to provide to passengers. In addition, LCD module decreases power consumption, and it can be used permanently by changing only backlight in comparison with conventional equipment. Therefore we can decrease the maintenance cost and extend durability-period of TDIS equipment using new equipment.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.5
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• pp.583-590
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• 2015

Evaluation and comparison for the performance on the contracting-out became possible after the introduction of the performance indicators(PIs) in 2012 in Korea, And local governments and private companies are utilizing them as evaluation data to enhance the performance of the contracting-out. Several revisions on performance indicator were carried out by expert group on contents validity of PIs, But the review of the composition validity of PIs was not sufficient. In this study, the applicability, distinction ability and composition validity of PIs is evaluated by statistical method. From the results, Improvement of indicator is required in order to increase the interrelationship among indicators to enhance the compostion validity of indicators related with operation, sludge and water reuse.

• The Transactions of the Korea Information Processing Society
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• v.6 no.3
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• pp.615-621
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• 1999

On the aspect of on-time and development resource use, it is very important to predict the software release time during the software development process. In this paper, we present the optimal release problem based on the evaluation indicator and cost evaluation. And also we show the optimal release point considered with both of them. We applied the Exponential Software Reliability Growth Model(E-SRGM) and Testing-effort dependent Software Reliability Growth Model(Te-SRGM) and decided the software release time according to software reliability indicator. As a result of two models comparison, we verify the Te-SRGM is more adopted in our switching system software.

• The Journal of Fisheries Business Administration
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• v.51 no.4
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• pp.123-136
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• 2020

This study attempted to propose a method of determining a project implementation area according to the purpose of the Offshore Project for Fishery Stock Enhancement after analyzing the regional economic effects in advance targeting the candidate regions for the Offshore Project for Fishery Stock Enhancement. The main results of this study can be summarized as follows: first, in comparison with the overall effect of the Offshore Project for Fishery Stock Enhancement to 2013, the production inducement coefficient increased by 0.08 in the region, but decreased by 0.39 in other regions and by 0.33 in the whole country. The value-added inducement coefficient increased by 0.01 in the region and by 0.06 in other regions, increasing 0.27 for the whole country. In the case of the employment inducement coefficient, the number of workers in the region decreased by 9.48 and increased by 0.3 in other regions, resulting in a decrease of 9.1 people in the whole country. Second, depending on the purpose of the Offshore Project for Fishery Stock Enhancement, an aggregating indicator of economic effects within the region, an aggregating indicator of economic effects in other regions, and an aggregating indicator of economic effects across the country were prepared to be used to determine the priority of the project implementation region. There was a little difference between the 2013 and 2015 regional rankings according to the standardization method, indicating that the analysis results were somewhat consistent. In conclusion, the results of this study may contribute to determine the project implementation area according to the purpose of a specific project after analyzing the regional economic effect in advance.

• Korean Journal of Remote Sensing
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• v.25 no.4
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• pp.321-338
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• 2009

The objective of this paper is to compare spatial prediction capabilities of univariate kriging algorithms for generating GIS-based thematic maps from ground survey data with asymmetric distributions. Four univariate kriging algorithms including traditional ordinary kriging, three non-linear transform-based kriging algorithms such as log-normal kriging, multi-Gaussian kriging and indicator kriging are applied for spatial interpolation of geochemical As and Pb elements. Cross validation based on a leave-one-out approach is applied and then prediction errors are computed. The impact of the sampling density of the ground survey data on the prediction errors are also investigated. Through the case study, indicator kriging showed the smallest prediction errors and superior prediction capabilities of very low and very high values. Other non-linear transform based kriging algorithms yielded better prediction capabilities than traditional ordinary kriging. Log-normal kriging which has been widely applied, however, produced biased estimation results (overall, overestimation). It is expected that such quantitative comparison results would be effectively used for the selection of an optimal kriging algorithm for spatial interpolation of ground survey data with asymmetric distributions.

• Korean Journal of Comparative Education
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• v.26 no.4
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• pp.125-152
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• 2016

This study aims to analyze the impacts of the QS Asia University Rankings (QSAUR) indicators and to compare the scores obtained by major countries. Hierarchical multiple regression was performed on the results of the QSAUR 2013-2015 and the average indicator and overall scores of each country were calculated. In the QSAUR, the most influential indicator was academic reputation. Each indicator's influence corresponded to its assigned weights and standard deviations. The results of the comparison revealed that Japan, South Korea, and China had the largest number of institutions among the top 150, while Singapore maintained the highest average scores on the indicators as well as the overall score. Each country had different areas that required improvement. South Korean colleges scored lower than some countries on academic reputation, papers per faculty, and international faculty. To attain higher ranks in the QSAUR, academic reputation, institutions' research capability improvement, and internationalization are needed. The implementation of these strategies is necessary to diminish the gap between South Korean institutions and other Asian institutions.