• 한국시뮬레이션학회논문지
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• 제27권1호
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• pp.51-60
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• 2018

본 연구는 혁신확산이론과 관련 선행연구를 기반으로 사용자의 핀테크 결제 서비스 사용 영향요인을 서비스와 사용자 측면으로 분류하여 파악하고 인과관계를 실증 검증하였다. 사용자 수용에 영향을 미치는 서비스 특성으로 복잡성, 혜택, 서비스 제공자 신뢰와 인지된 위험을 서비스 특성으로, 개인 혁신성과 보안사고 경험을 사용자 특성으로 분류하여 연구모형을 구성하였다. 이항 로지스틱 회귀분석 결과 인지된 위험과 사용의 복잡성, 보안사고 경험은 사용자의 핀테크 수용에 부정적인 영향을 미치며 개인혁신성은 긍정적인 영향을 미치는 것으로 나타났다. 추가로 인지된 위험이 핀테크 서비스 수용에 미치는 부정적인 영향을 강화하는 보안사고 경험의 조절효과 역시 유의미하게 나타났다.

• Communications for Statistical Applications and Methods
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• 제28권2호
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• pp.135-150
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• 2021

We propose principal differential analysis based classification methods. Computations of squared multiple correlation function (RSQ) and principal differential analysis (PDA) scores are reviewed; in addition, we combine principal differential analysis results with the logistic regression for binary classification. In the numerical study, we compare the principal differential analysis based classification methods with functional principal component analysis based classification. Various scenarios are considered in a simulation study, and principal differential analysis based classification methods classify the functional data well. Gene expression data is considered for real data analysis. We observe that the PDA score based method also performs well.

• 한국농공학회논문집
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• 제62권5호
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• pp.1-13
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• 2020

The empty houses' problem is important in the local revitalization and local sustainability, and these phenomenon caused by various factors of the region. The population and housing census data are the most effective data available to study this phenomenon by small regions. In this study, logistic regression and multiple regression analysis were performed to understand the effects of population, household, and housing characteristics on empty houses using population and housing census data. Also, the scale and direction of the effect of each characteristic in large cities, small cities, and rural areas were compared. As results, there was a slight difference between cities and province regions in the district and housing characteristic variables. In the comparison of Eup-Myeon-Dong, the affected variables were different in the Dong and Myeon areas. The significance of this study is to examine the effect of the characteristics of population and housing on the vacant houses and to confirm that the factors affecting different regions.

• 한국정보통신학회논문지
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• 제25권1호
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• pp.56-62
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• 2021

미세먼지 예보에 대한 높은 정확도가 요구됨에 따라 기계 학습의 알고리즘을 적용하여 예측 정확도를 높이려는 다양한 시도들이 이루어지고 있다. 그러나 미세먼지의 특성과 불균형적인 농도별 발생 비율에 대한 문제로 예측 모델의 학습 및 예측이 잘 이루어지지 않는다. 이러한 문제를 해결하기 위해 특정 농도를 기준으로 미세먼지를 저농도와 고농도로 구분하여 예측을 수행하는 등 다양한 연구가 진행되고 있다. 본 논문에서는 미세먼지 농도의 불균형 특성으로 인한 예측 성능 향상의 문제를 해결하기 위한 미세먼지 농도의 이진 분류 모델을 제안하였다. 분류 알고리즘 중 logistic regression, decision tree, SVM 및 MLP를 이용하여 PM10에 대한 이진분류 모델들을 설계하였다. 오차 행렬을 통해 성능을 비교한 결과, 4가지 모델 중 MLP 모델이 89.98%의 정확도로 가장 높은 이진 분류 성능을 보였다.

• Imaging Science in Dentistry
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• 제48권4호
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• pp.277-281
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• 2018

Purpose: This study was performed to investigate the relationship between sleep bruxism(SB) and pulpal calcifications in young women. Materials and Methods: A total of 100 female participants between 20 and 31 years of age who were referred to our radiology clinic for a dental check-up, including 59 SB and 41 non-SB patients, were sampled for the analysis. SB was diagnosed based on the American Academy of Sleep Medicine criteria. All teeth were evaluated on digital panoramic radiographs to detect pulpal calcifications, except third molars, teeth with root canal treatment, and teeth with root resorption. Binary logistic regression analysis was used to determine the risk factors for pulpal calcifications. The Spearman correlation coefficient was applied and the Pearson chi-square test was used for categorical variables. To test intra-examiner reproducibility, Cohen kappa analysis was applied. P values <.05 were considered to indicate statistical significance. Results: A total of 2800 teeth were evaluated (1652 teeth from SB patients and 1148 from non-SB patients), and 61% of patients had at least 1 dental pulpal calcification. No statistically significant relationship was found between SB and pulpal calcifications (P>0.05). In SB patients, the total number of pulpal calcifications was 129, while in non-SB patients, it was 84. Binary logistic analysis showed that SB was not a risk factor for the presence of pulpal calcifications(odds ratio, 1.19; 95% CI, 0.52-2.69, P>.05). Conclusion: No relationship was found between SB and pulpal calcifications.

• 농촌계획
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• 제16권2호
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• pp.47-55
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• 2010

Land cover and land use change data are important in many studies including climate change and hydrological studies. Although the various theories and models have been developed, it is difficult to identify the driving factors of the land use change because land use change is related to policy options and natural and socio-economic conditions. This study is to attempt to simulate the land cover change using the CLUE model based on a statistical analysis of land-use change. CLUE model has dynamic modeling tools from the competition among land use change in between driving force and land use, so that this model depends on statistical relations between land use change and driving factors. In this study, Yongin, Icheon and Anseong were selected for the study areas, and binary logistic regression and factor analysis were performed verifying with ROC curve. Land cover probability map was also prepared to compare with the land cover data and higher probability areas are well matched with the present land cover demonstrating CLUE model applicability.

• 동의신경정신과학회지
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• 제16권1호
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• pp.185-192
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• 2005

Objectives : This study is for discovering the clinical Features of the sleep in ordinary symptoms based on the Sasang Constitution. The result of this study could be helpful to understand and to identify the patients as Soeumin in contrast with the other constitutions-Soyangin, Taeumin and Taeyangin. Methods : There were 1,229 patients(700 female), who answered the questionnaire about their ordinary sleeping patterns. They had been diagnosed, including their clinical Sasang Constitution, by the Sasang Constitution specialist at Bundang Oriental Hospital of Dongguk University. By applying the binary logistic regression analysis, we can measure the characteristics and the influence of ordinary sleeping patterns to the dependent variable(Sasang Constitution). Results : As a result of the binary logistic analysis on the observed questionnaire, we found the characteristics of the ordinary sleeping patterns on Soeumin in contrast the other constitutions. Firstly, Soeumin has a tendency that he wouldn't snore well in comparison with the others. Secondly, Soeumin has a tendency that he will dreams more, when he sleeps in contrast with the others. Thirthly, Soeumin has a tendency that he will sleep longer than 6-7hours. Fourthly, Soeumin has a tendency that he will struggle during sleeping in contrast with the others. Conclustion : This study will be used to identify patients as Soeumin in contrast with the others-Soyangin, Taeumin and Taeyangin.

• 환경영향평가
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• 제22권3호
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• pp.231-240
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• 2013

The Purpose of this research was to propose positioning strategies of urban park (UP) based on the assessment of location characteristics at cheongju city. To do that, this research found out urban park service area (UPSA) using GIS network analysis and built socio-economic attribute database, UP map, and other public service thematic maps such as public transportation, education, child-care, and convenience services. And this research analyzed spatial and attribute data using Pearson's correlation analysis, multiple linear regression, and binary logistic regression methods. As a result of this analysis, 1) the nearer neighborhood park and children's park, the higher land price and assumption income level (AIL). 2) children's parks were closed to living convenience facilities such as bank, hospital, and convenience store. 3) land price, AIL, population, and other public services level (PSL) in UPSA were higher than that of non-UPSA. 4) The higher land price, AIL, population, and other PSL, the higher urban park service level. The results of this research may contribute to resolve the regional UP unbalance and to improve UP service level as public service.

• 한국노년학
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• 제38권2호
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• pp.351-364
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• 2018

본 연구는 김포시 거주 노인들을 대상으로 노인복지관 이용 결정요인을 파악하는데 목적을 두고 있다. 그 이유는 노인복지관이 종합서비스 제공기관으로 국가정책 차원에 명시되어 있음에도 불구하고 실천 현장에서 과연 노인들에게 고유의 역할과 기능을 하고 있느냐 하는 관점에서 출발하고 있다. 특히 농어촌 거주 노인들의 경우 평소 여가활용 기회가 부족한 상황에서 지난 10년간 전국의 노인복지관 관련 수가 획기적으로 증가하였음에도 노인복지관 역할과 위상이 동일하게 여겨지고 있는가하는 점은 의구심을 불러일으키고 있다. 이에 도농형 도시 김포시에 거주하는 만 65세 이상 노인 360명을 대상으로 실태조사를 하였다. 연구방법으로 앤더슨 모형의 선행요인과 가능요인, 욕구요인간의 영향과 관계를 검증하고자 로짓분석 및 의사결정나무분석을 시행하였다. 연구결과 로짓분석에서는 앤더슨 모형에서 제시한 대부분의 요인들이 통계적으로 유의미하였다. 선행요인에서는 성별, 연령, 교육수준이, 가능요인에서는 월평균소득이, 욕구요인에서는 노후를 위한 경제자금준비와 경제활동준비가 유의미하였다. 다음으로 요인간 상호작용을 감안한 의사결정나무분석 시행 결과, 선행요인 중 교육수준이 높은 경우 노인복지관을 이용할 가능성이 가장 높았으며, 다음으로 욕구요인 중 건강증진 준비수준이 낮은 경우 노인복지관을 이용할 가능성이 높게 예측되었다. 이상과 같은 연구결과에 근거하여 노인복지관의 종합적 서비스 제공의 필요성을 제안하였다.

• 디지털콘텐츠학회 논문지
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• 제19권4호
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• pp.685-692
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• 2018

본 연구는 통계분석을 이용한 중년 성인의 고혈압 예측모델 개발이 목적이다. 국민건강영양조사자료(2013년-2016년)를 사용하여 통계분석과 예측모델을 개발하였다. 이진 로지스틱 회귀분석으로 통계적 유의한 고혈압 위험인자를 제시하였으며, Wrapper 변수선택기법을 적용한 로지스틱회귀와 나이브베이즈 알고리즘을 이용하여 예측모델을 개발하였다. 통계분석에서 고혈압에 가장 높은 연관성을 갖는 인자는 남성에서 WHtR (p<0.0001, OR = 2.0242), 여성에서 AGE(p<0.0001, OR = 3.9185)로 나타났다. 예측모델의 성능평가에서, 로지스틱 회귀 모델이 남성(AUC = 0.782)과 여성(AUC = 0.858)에서 가장 좋은 예측력을 보였다. 우리의 연구 결과는 고혈압에 대한 대규모 스크리링 도구를 개발하는데 중요한 정보를 제공하며, 고혈압 연구에 대한 기반정보로 활용할 수 있다.