• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3368-3373
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• 2013

The purpose of this study was to analyze the risk factors of self-reported voice problem. Data were from the Korea National Health and Nutritional Examination Survey 2008. Subjects were 3,600 persons (1,501 men, 2,099 women) aged 19 years and older. A prediction model was developed by the use of a exhaustive CHAID (Chi Squared Automatic Interaction Detection) algorism of decision tree model. In the decision tree analysis, pain and discomfort during the last 2 weeks, age, the longest occupation and thyroid disorders was significantly associated with self-reported voice problem. The findings of associated factors suggest potential ways of targeting counseling and prevention efforts to control self-reported voice problem.

• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.1-11
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• 2006

This study aims at identifying what effect ARCS model based instruction and cognitive style have on learning motivation and achievement in computer education. In order to accomplish this goal. 70 high school students were randomly allocated into the experiment group and the control group. And each group was divided into field-independent group and field-dependent group. The results were as follows. First, post test of learning motivation among four groups showed that mean differences were statistical significant. Especially 'ARCS model based instruction-field independent group got higher score than 'traditional instruction field dependent' group. Second, post test of learning achievement showed no significant mean difference among four group. The result of the pre and post test difference analysis showed that the change scores of means were significantly different.

• Journal of Korea Port Economic Association
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• v.30 no.2
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• pp.133-143
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• 2014

The paper uses a panel gravity model to analyse the determinants of export via Gwangyang port for the period from 2000-2012. The gravity model includes export via Gwangyang port, GDP and population of trading partners, the distances between Korea and its partners, and Korea-ASEAN FTA dummy. Hausman test shows up which one is exactly appropriate between random effect estimation and fixed effect estimation to use panel dataset. It depends on whether or not existence or nonexistence of the correlation between unobserved omitted factors and variables. Fixed effect estimation is suitable for this paper by the rejection of null hypothesis. An Empirical analysis of this paper shows GDP influences positive effects and distance influences negative effects to Gwangyang port trading partners. In addition, the results strongly supported the effects of Korea-ASEAN FTA on the growth of Gwangyang port export.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.257-257
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• 2022

댐 건설은 홍수 및 가뭄에 대응하기 위한 구조적 방법으로써 우리나라와 같이 지표수에 의존적인 지역에서는 가용 수자원을 확보하기 위한 확실한 수단으로 활용되어왔다. 신규 댐의 건설은 대상 하천의 수리학적 특성에 큰 변화를 야기할 수 있으며, 댐의 안정성 및 하천의 하도보호를 위해 댐 주변의 수리적 특성의 변화에 대해서도 사전에 인지하여 설계 시 반영할 필요가 있다. 수공구조물 신설에 따라 변화되는 수리학적 특성을 분석하는 방법으로는 그 수단에 따라 상사법칙을 적용한 수리모형실험과 수치기법을 활용한 수치모형실험으로 나눌 수 있다. 본 연구에서는 수리모형실험을 통한 실험적 방법을 이용하여 댐 상하류 구간의 수리학적 특성을 분석하였다. 해당 실험은 한국농어촌공사 농어촌연구원의 대형수리모형실험시설에서 수행되었다. 적용대상 댐의 제원은 높이 약 70m, 길이 약 230m이며, 폭 55m의 여수로를 포함하는 구조로 설정하였다. 수리모형은 Froude 상사법칙을 적용하여 1/30 규모로 축소하였으며, 콘크리트 및 아크릴 재료를 이용하여 제작되었다. 댐 모형이 설치되는 하천구간은 댐 구조물을 포함하여 실규모를 기준으로 흐름방향으로 약 800m, 하폭방향으로 약 450m의 범위를 포함하도록 설계되었으며, 하류구간에 사행하천이 존재하는 것이 특징이다. 본 실험에서 유량은 총 12개의 펌프를 이용하여 공급되었으며, 최대 4cms에 해당하는 유량공급이 가능하도록 설계하였다. 공급유량은 정교한 절차에 의해 보정된 전자식 유량계를 통해 통제되었으며, 사용된 유량계의 허용오차는 약 0.5% 수준인 것으로 나타났다. 수위 측정은 오차범위 0.05mm 수준의 초음파 수위측정기를 이용하였으며, 유속측정은 약 0.5cm/s의 정확도를 지닌 3차원 전자기 유속계를 이용한 접촉식 측정과 흐름구조 가시화를 위한 비접촉식 입자추적기법을 병행하였다. 실험조건은 실규모 기준으로 방류량 3,000~5,000cms에 대해 수행하였으며, 각 방류량별 댐 상하류의 흐름패턴에 대해 정량적으로 분석하였다.

• Journal of Global Scholars of Marketing Science
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• v.4
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• pp.173-196
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• 1999

현대의 급변하는 환경 하에서 다양한 고객의 욕구를 총족시켜야 하는 기업으로서는 기업성장에 관련된 전략을 끊임없이 수립하여야 한다. 특히 기존 시장 및 새로운 시장에 대해 지속적으로 소비자의 욕구 및 기업의 목적 등에 어느 정도 기여하는 가를 반드시 평가하여야 한다. 효과적인 시장의 선정은 기업의 목표를 달성하는 데 필요한 시장을 유지하게 할 뿐 아니라 기업의 가용자원을 사업과정에서 할당할 수 있게 해준다. 본 연구에서는 기업의 시장 평가와 선정을 위한 모형을 구축하였다. 기존 시장선정모형에서는 시장 성장률, 판매 수익, 현금 흐름 등과 같은 속성들의 단일 목표에 대한 최적해를 구하고자 하였다. 그러나 기업의 의사결정과정은 여러 상충하는 목적들을 동시에 고려하는 경우가 대부분이기 때문에 이러한 상황에 적합한 다목표 지향적인 수리모형 구축의 필요성이 제시되었다. 또한 제공되는 데이터의 불명확성과 여러 목적들을 동시에 고려할 경우 발생할 수 있는 의사결정자의 열망수준과 그 만족정도를 반영하기 위해 본 연구에서는 퍼지집합을 적용한 3 유형의 다목적계획모형을 제시하였다. 최소연산자 모형, 가중치 다목적계획 모형 및 선제우선순위 다목적계획모형의 구축 후, 설례를 통해 그 적용가능성을 알아보았다.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.861-870
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• 2001

Since most of studies for information efficiency measurement of healthcare organizations have mainly focused on searching a measuring standard used for performance of informatization and each researchers subjective standard having been used, they can not be easily measured and objective. This study showed a possibility that efficiency measurement of healthcare organization can be performed by solving a problem related to objectiveness, which may occur in measuring many organization with many measuring items, with DEA (data envelopment analysis). For proving this possibility, efficiency evaluation and analysis for information resources utilization of domestic tertiary healthcare organizations have been performed by using DEA model. As a result, DMU (decision making unit) having efficiency rate of 1 will be evaluated that output is higher than input and information resources are being used efficiently, but on the other hand, DMU having efficiency rate of below 1 will be evaluated that output is lower than input and information resources are being used inefficiently, which is required to be improved.

• Information Systems Review
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• v.23 no.1
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• pp.135-154
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• 2021

In the network economy, the informatization of Small and Medium enterprises(SME) plays an important role in determining productivity while being competitive in the businesses. Informatization of SME has become important along with the recent trend of the fourth industrial revolution. Based on the IT Business Value Model, this study analyzes the key factors of information service of SME with the structure model. In addition, multi-level model was conducted by dividing the layers according to the size of the SME. The analysis confirmed that complementary organizational resources are a key factor in determining the informatization of SME. In addition, the effect of informatization of SME on the scale of SME varies depending on the type of entry into the industrial complex.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.143-152
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• 2017

Restriction of completely randomization within a block can be handled by a split plot factorial design splitted by several plots. $3{\times}3$ split plot factorial design with two fixed main factors and one fixed block shows that powers of the rank transformed statistic for testing whole plot factorial effect and split plot factorial effect are superior to those of the parametric statistic when existing effect size is small or the remaining effect size is relatively smaller than the testing factorial effect size. Powers of the rank transformed statistic show relatively high level for exponential and double exponential distributions, whereas powers of the parametric and rank transformed statistic maintain similar level for normal and uniform distributions. Powers of the parametric and rank transformed statistic with two fixed main factors and one random block are respectively lower than those with all fixed factors. Powers of the parametric andrank transformed statistic for testing split plot factorial effect with two fixed main factors and one random block are slightly lower than those for testing whole plot factorial effect, but powers of the rank transformed statistic show comparative advantage over those of the parametric statistic.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.237-254
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• 2020

Housing vacancies have become a major issue in urban areas, there have been many efforts to address this issue at the national and local levels. The purpose of this paper is to investigate the factors contributing to housing vacancies in old town Incheon in South Korea. In particular, the research focuses on examining the effects of multiple levels of factors on housing vacancies in a comprehensive way; the three levels of factors were identified with a literature review including housing (Level 1), Neighborhood (Level 2), and Region (Level 3). A multi-level logistic regression model was used to examine the relationship between 13 factors in three spatial levels and housing vacancies. As a result, the factors in all three levels were able to explain housing vacancies including site area and shape, proximity to major roads (Level 1), ratio of houses in designated urban renewal area and slope (Level 2), and ratio of the elderly living alone, land price, changes in land price and ratio of new houses (Level 3). These results show that the combination of the physical inferiority of the housing site and the neighborhood environment and the economic and social vulnerability of the region is likely to increases the number of vacant houses. This study also suggested that a multi-dimensional policy strategy is needed to solve the problem of housing vacancies, and urban policies, such as supplying new housing or urban renewal area designation, should be carefully implemented in a way not to create housing vacancies.

• 한국노년학
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• v.41 no.3
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• pp.421-444
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• 2021

The purpose of this research is to examine the reciprocal relationships between depression and marital satisfaction among older couples. For longitudinal dyadic analysis, this study sets up a research model based on the Actor-Partner Interdependence Model, the Common Fate Model, and Autoregressive Cross-Lagged Model. Data came from four annual waves from the 10th year (2015) to the 13th year (2018) of the Korean Welfare Panel Survey and the final sample comprised a total of 1,383 married couples over 60 years of age in 2015. Structural Equation Modeling identified the reciprocal relationship between depression and marital satisfaction among older couples, with higher marital satisfaction of older couples leading to lower depression of husbands' and wives', and with higher depression of husbands' and wives' inducing lower marital satisfaction of the couples. Thus, this study suggested that longitudinal interplay between depression and marital satisfaction can lead to a vicious cycle. Based on these findings, the need to intervene at both the individual level and the couple level was discussed in order to reduce depression and improve marital satisfaction.