• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.983-992
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• 2012

Social indicator survey can identify the state of society as a whole. When we create a policy, social indicator survey can reflect the public opinion of the region. Social indicator survey is an important measure of social change. Social indicator survey has been conducted in many municipalities (Seoul, Incheon, Busan, Ulsan, Gyeongsangnamdo, etc.). But, the result of social indicator survey analysis is mainly the basic statistical analysis. In this study, we propose a new data mining methodology for effective analysis. We propose a 3-step complex data mining in society indicator survey. 3-step complex data mining uses three data mining method (intervening association rule, clustering, decision tree).

• International conference on construction engineering and project management
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• 2015.10a
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• pp.354-356
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• 2015

As domestic recession has had an adverse impact on many Korean companies in Korea, financial soundness has become a critical issues. It is essential to identify financial risk factors to prevent workout as well as to improve the financial condition of domestic construction companies. Therefore, this study derived important management indicators and the financial ratios that belong to each indicator through a comparative analysis between healthy companies and workout companies with financial statement. As a consequence, key financial ratios are derived into 3 of 25 ratios; Equity Ratio in stability indicator, Total Asset Turnover Ratio in activity indicator, and Labor Equipment Ratio in productivity indicator. So, Korean construction firms are required close monitoring these critical financial ratios indicating variation between construction companies which have opposing statuses in finance in order to keep sound financial condition and increase productivity.

• Journal of Environmental Science International
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• v.23 no.8
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• pp.1455-1462
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• 2014

The purpose of this study is to examine green consumer behavior (green product purchasing behavior and green consumption life) affected by demographical characteristics, and cognition degree of green life (cognition of a green indicator, a green life catalyst system, and environmental problems). It's also to promote strategy and suggest effective activation plans for the vitalization of green consumer behavior. To carry out the task, verification of credibility, multiple regression analysis, two-step cluster analysis, and multinomial logistic analysis were used. The results are as follows: First, the factors that effect green product purchasing behavior were gender, age, cognitive of a green indicator, carbon points system, electricity peak hour system, and seriousness of environmental damage due to lifestyle. Second, the factors that effect green lifestyle were gender, age, carbon grade indicator system, cognition of a green system, and the seriousness of environmental damage due to lifestyle. Third, the comparative group characteristic analysis showed low rates for careless green consumer behavior groups compared to the passive green consumer behavior groups in cognition of a green indicator, green system, and environmental problems. For active green consumer behavior groups, the analysis showed high rates in cognition of carbon grades, eco-labeling, electricity peak hour system, and environmental damage due to lifestyle. In order to encourage green consumer behavior, it's evident that cognition of a green indicator, a green life catalyst system, and environmental problems need to be improved through strategic education and continuous encouragement.

• KIEAE Journal
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• v.13 no.2
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• pp.131-139
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• 2013

The aim of this dissertation is establishing internal indicator list for achieving policy goal of Carbon Neutrality Green City. First of all, it started to construct the basic system of planning indicator based on through comprehension of current studies such as advanced researches, government guidelines and green building certifications. And then it was set up final indicator list through inspecting FGI (Focus Group Interview), Verification of suitability, and Analysis of importance). As a result of this research, the planning indicator divided three steps and there were classified four fields in the top-level; Green Land and Ecology, Green Energy, Green Resource and Transportation, Green Living and Institution. According to the data, it deducted four items (ratio of green land, site plan, heat island and management of climate, base of nature ecology) and twelve index in the field of green land and ecology, three item(energy conservation and self-supporting, energy efficiency, new regeneration energy) and twelve index in the field of green energy and regeneration, five items(water resources utilize and circulation, other resource reduction and circulation, public transportation, green transportation plan) and fifteen index. Totally, Planning Indicators of forty nine were deducted. Therefore, there was the result of importance analysis that the indicators of plan and maintain management as the side of space for carbon neutrality were more appreciated than carbon reduction of individual building.

• The Korean Journal of Health Service Management
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• v.13 no.3
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• pp.1-12
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• 2019

Objectives: The purpose of this study was to provide hospital management diagnosis status and basic data required for the future development of hospital management diagnosis program. Methods: We conducted a questionnaire survey on administrative staff of manager level or over of medical institutions in B metropolitan city. Results: As a result of analyzing the relative influence of the needs by hospital management diagnosis indicator, the effect of financial analysis indicator, patient treatment record indicator and medical revenues indicator were high in the medical institutions with number of beds of 100 beds or over and general hospital level or over both on a hospital level and on an individual level. Conclusions: Since the existing laws or systems are centered on large major hospitals, the management environment is very unfavorable for small and medium hospitals as can be seen from the results of this study. Therefore, the government should improve the transparency and rationality of the hospital management environment in Korea through regulation and system reforms that can be applied to all medical institutions.

• New & Renewable Energy
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• v.6 no.2
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• pp.33-39
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• 2010

The objective of this study is to present a basis for the evaluation on the renewable energy dissemination program in Korea applying the outcome evaluation, one of the five types of evaluation methods of EERE, DOE, and the effectiveness indicator, which is suggested by IEA, OECD. The outcome evaluation quantifies achievements of program outputs and outcomes against planned time frame. We analyze the correlation coefficients between cumulative expenditure on the renewable energy dissemination program and each renewable energy deployment and the unit installation cost of several dissemination programs for the outcome evaluation. Meanwhile, the effectiveness indicator is calculated by dividing the additional renewable energy deployment achieved in a given year by the remaining mid-term realizable potential to 2020 in each source of renewable energy. The results show that correlation coefficients between cumulative expenditure and each renewable energy deployment are significantly positive during the implementation period of each deployment program. And photovoltaic energy, bio energy, and wind power energy show high effectiveness indicator.

• Journal of Korean Library and Information Science Society
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• v.48 no.3
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• pp.177-205
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• 2017

The present study develops an evaluation indicator for cultural value of library. First, a preliminary evaluation indicator was developed based on analysis of both domestic and foreign studies on the value of library. The preliminary evaluation indicator was used for three rounds of Delphi survey conducted by 10 experts for development of the final evaluation indicator. The final evaluation indicator consists of four evaluation areas community cultural development, succession - and promotion of cultural heritage, contribution to local residents' enjoyment of culture, and establishment of community culture and 10 evaluation items, and 50 specific evaluation indicators.

• Journal of Environmental Health Sciences
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• v.33 no.4
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• pp.299-305
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• 2007

Distribution of fecal pollution indicator bacteria and environmental parameter were investigated of urban artificial lakes. An average concentration of temperature, pH, SS, DO, $COD_{Mn}$, T-P, T-N, Turbidity, Chl-a were $21.5^{\circ}C$, 8.07, 116.70 mg/l, 8.66 mg/l, 2.24 mg/1, 0.52 mg/l, 1.71mg/l, 80.54 NTU, and 52.12 mg/l respectively. From the results of bivariate correlation analysis, fecal contamination indicator bacteria were found to be mutually correlated. And turbidity and suspended solid were correlated. From the results of principal component analysis, four factors were extracted. And four factors of variance explained up to 81.5 percentage. Factor 1 was pollution pattern by fecal contamination, factor 2 was physical pollution pattern by pollution source, factor 3 was natural pollution by precipitation, and factor 4 was artificial pollution pattern by organism.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.1-12
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• 2021

The International Maritime Organization (IMO) is promoting the introduction of e-Navigation that prevents maritime accidents by fusion of Information & Communication Technology (ICT) with ship operation technology. In Korea, Korean e-Navigation is also being developed for fishing vessels and small vessels sailing offshore, which are vulnerable to maritime accidents. However, for the successful development of Korean e-Navigation, it is necessary to develop an indicator that can evaluate the development performance so that the development performance that has been progressed so far can be evaluated and the development direction can be re-established. Therefore, this study attempted to develop an evaluation index tailored to the development goal of e-Navigation service centering on the collision accident, which is a major maritime accident. In this study, a collision accident evaluation index for e-Navigation service was developed by deriving and quantifying the root cause of maritime collision accidents using Root cause analysis(RCA) and fault tree analysis (FTA) techniques. This indicator is considered to be helpful in reducing maritime accidents as it is used as a development indicator for e-Navigation and an indicator for maritime collision accident analysis.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.69-82
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• 2017

R-indicator (representativeness indicator) is used to check the representativeness of samples when non-responses occur. The representativeness is related with the accuracy of parameter estimator and the accuracy is related with bias of the estimator. Hence, unbiased estimator generates high accuracy. Therefore, high value of R-indicator guarantees the accuracy of parameter estimation with a small bias. R-indicator is calculated through propensity scores obtained by logit or probit modeling. In this paper we investigate the degree of relation between R-indicator and different non-response rates in strata using simulation studies. We also analyze a modified Korea Economic Census data for real data analysis.