• The Journal of Engineering Geology
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• v.17 no.3
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• pp.393-404
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• 2007

The purpose of this study is to capture the essentials in survey and evaluation scheme which are able to assess the hazard of a rock slope systematically. Statistical analysis are performed on slope instability parameters related to failure of the rock slope. As the slope instability parameters, twelve survey items are considered such as tension crack, surface deformation, deformation of retaining structures, volume of existing failures, angles between strike of discontinuity and strike of cut slope face, angles between dip of discontinuity and dip of cut slope face, discontinuity condition, cut slope angle, rainfall or ground water level, excavation condition, drainage condition, reinforcement. A total of 233 road cut slopes located in Gyeongnam were considered. The stability of the road cut slopes were evaluated by estimating the slope instability index(SII) and corresponding stability rank. 126 rock slopes were selected to analyze statistical relation between SII and slope instability parameters. The multiple regression analysis was applied to derive statistical models which are able to predict the SII and corresponding slope stability rank. Also, its applicability was explored to predict the slope failures using the variables of slope instability parameters. The results obtained in this study clearly show that the methodology given in this paper have strong capabilities to evaluate the failures of the road cut slope effectively.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.81-91
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• 2019

Although the number of users of urban railways is greatly influenced by the land use plan around the railway station, Korea has been studying this problem in a small scale, so that the entrance width is uniformly calculated irrespective of the land use plan, And there is little deviation. Therefore, this study aims to establish a demand estimation model for the entrance and exit of urban railway stations. For this purpose, the demand, land use area, and socioeconomic indicators for each of the 20 urban railway stations were surveyed at 200m and 500m Regression model. The model is based on the assumption that the dependent variable (response variable) of the model is set to 1 day, peak 1 hour, peak time 5 minutes, Education, and park) and socioeconomic indicators (population, employer, employee, and student) as independent variables (explanatory variables). As a result, it was analyzed that the fit of the model is more statistically significant when the use area of the land use by 500 meters of the center radius of the city rail is used as an independent variable and the demand for the daily use of the railway station is used as a dependent variable. The purpose of this study is to estimate the optimal size of urban railway entrance in order to improve the mobility of the user and the transportation weak in urban railway station.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.465-468
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• 2005

MMA(Multi-Modulus Algorithm) is inferior at a initial equalization in high ISI(intersymbol interference), because it is the inaccurate decision. To improve this probel SMMA(Sliced Multi-Modulus Algorithm) is based on using the MCMA(Modified Constant Modulus Algorithm). SMMA is a improved capability than MMA in high SNR but is inaccurate decision in low SNR. In this paper, We propose some multi-modulus blind equalization algorithm scheme. It is a method of operation in some multi-modulus algorithm which does no obstruct a convergence property at the initial equalization in the low SNR. Proposed algorithm improves the steady-state performance. And it uses residual ISI of the equalizer output in order to decide the optimum switching time between the single modulus and the multi-modulus algorithm.

• The korean journal of orthodontics
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• v.41 no.3
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• pp.154-163
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• 2011

Objective: The purpose of this study was to quantitatively evaluate relapse tendency after orthodontic treatment and determine the contributing factors by using the American Board of Orthodontics objective grading system (ABO-OGS). Methods: The subjects were 80 patients with more than 2 years of retention period after completing orthodontic treatment at the dental hospitals of Busan University, Kyunghee University, and Dankook University. The posttreatment (T2) and post-retention (T3) ABO-OGS measurements were analyzed in relation to age, gender, Angle's classification, extraction, retention period, and pretreatment condition (initial peer assessment rating (PAR) index, T1) by multiple regression analysis. Results: Among the 7 ABO-OGS criteria, alignment worsened but occlusal contact and interproximal contact improved in T3, but not in T2 ($p$ < 0.01). The 4 other criteria showed no significant differences. Multiple regression analysis showed that alignment, occlusal relationship, overjet, and interproximal contact were significant linear models, but with a low explanation power. Age, gender, Angle's classification, extraction, retention period, and pretreatment condition (initial PAR index, T1) had little influence on the ABO-OGS changes between T3 and T2. Conclusions: An orthodontist's understanding of posttreatment relapse tendency can be useful in diagnosis and during patient consultation.

• Journal of Korean Tunnelling and Underground Space Association
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• v.2 no.2
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• pp.41-49
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• 2000

Rock Mass Rating has been widely applied to the underground tunnel excavation and many other practical problems in rock engineering. However, Rock Mass Rating is hard, even by the experts of tunnel assessment owing to lack of investigation system. In this study, using multivariate analysis we presented rock mass rating system that is objective and easy to use. The constituents of RMR are decided to RQD, condition of discontinuities, groundwater conditions, intact rock strength, orientation of discontinuities, spacing of discontinuities in important order. In each step, we proposed the best multiple regression model for RMR system.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.40-40
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• 2021

수재해 방지를 위한 수문해석 모형에서 정량적인 강수자료의 역할은 매우 중요하다. 최근에는 기후변화로 인한 국지성 집중호우 등 돌발 강수의 빈도가 증가하고 있어 지상에 설치된 우량계보다 시·공간적 변동성을 반영할 수 있는 격자형 위성 강수자료의 활용성이 커지고 있다. 하지만 위성강수자료는 관측 시에 대기의 상태 또는 위성별 관측 센서, 공간적 스케일 차이 등에 의해 실제 내린 강수와의 편의가 존재한다. 이를 해결하기 위해 지점 강수자료를 이용한 통계적, 지형정보학적 상세화 기법이 적용되고 있으나, 대부분의 연구에서 강수자료의 양적 보정만을 목적으로 수행되었다. 본 연구에서는 머신러닝 기반의 랜덤포레스트(random forest) 모델을 사용하여 다중위성 강수자료(CHIRPSv2, CMORPH, GSMaP, TRMMv7)와 기상청에서 제공하는 AWS, ASOS 지점 강수를 사용하여 최적 위성강수자료를 생성 후 각 위성강수자료와 비교·분석하였다. 2003년에서 2017년까지의 각 위성강수자료를 수집하여 같은 공간 스케일로 전처리한 뒤 모델에 입력하였으며 AWS 강수자료는 훈련, ASOS 강수자료는 검증에 이용되었다. 그 결과, 생성된 최적 위성강수자료는 각 위성강수자료보다 지점강수와의 편의가 줄고 높은 상관관계를 나타내고 있다. 이는 앞으로 사용될 위성강수자료의 시·공간적 보정 및 단기예측에 활용할 수 있으며, 특히 원격탐사자료의 의존도가 높은 미계측 대유역 수문해석에 정량적인 강수자료를 제공할 수 있을 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.264-264
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• 2015

최근 기후변화는 우리 삶에 다양한 영향을 미치고 있으며, 이에 따른 수문순환 변화 역시 자명하게 받아들이고 있다. 이에 따라 수자원 취약성 평가 및 대책에 관한 연구는 다양하게 진행되고 있는 실정이다. 하지만 국내의 경우 전체 유역에 대한 수자원 취약성 평가 연구는 부족한 실정이다. 따라서 본 연구에서는 국내 총 12 수계인 한강, 안성천, 금강, 삽교천, 영산강, 섬진강, 탐진강, 만경강, 동진강, 낙동강, 태화강, 형산강 유역에 대한 수자원 취약성 평가를 실시하였다. 평가 방법으로는 장기간에 걸친 다양한 토양의 특징, 토지이용, 관리상태의 변화에 따른 크고 복잡한 유역의 유출량을 추정하기 위해 개발된 SWAT(Soil and Water Assessment Tool) 모형을 이용하여 수문 모형을 구축하였고, 유출 관련 매개변수 최적화 작업은 SWAT-CUP 모형을 이용하였다. 최적화된 매개변수의 적용을 통해 각 유역별 유출량을 산정하였다. 그 결과 2009년과 2011년은 한강, 낙동강, 금강, 영산강순 이였으며, 2010년은 낙동강, 한강, 금강, 영산강순 이였다. 면적별 유출량인 비유량(specific discharge)을 산정한 결과, 2009년에는 영산강, 낙동강, 금강, 한강순 이며, 2010년에는 영산강, 금강, 낙동강, 한강순 이였으며, 2011년에는 금강, 한강, 영산강, 낙동강 순을 보였다. 또한, 인구당 유출량 산정 결과 2009년에는 영산강, 금강, 낙동강, 한강순 이며, 2010년에는 영산강, 금강, 낙동강, 한강순 이며, 2011년에는 영산강, 금강, 낙동강, 한강순 이었다. 이를 바탕으로 국내 총 12 수계에 대한 수자원 취약성을 산정해보았다. 대응변수는 이수의 수요 및 공급적인 측면에서 구분하였으며, 사회/경제, 물 이용, 환경, SWAT으로 구성하였습니다. 수자원 취약성 평가를 위해 다기준의사결정기법(MCDM, Multi-Criteria Decision Making) 중 하나인 TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution)기법을 사용하였다. 산정 결과 삽교천, 동진강, 형산강, 안성천, 섬진강, 만경강, 낙동강, 영산강, 태화강, 금강, 한강, 탐진강 순 이였다. 본 연구 결과는 향후 다중 공간에 구축한 고해상도 모형을 통해 국내 수문상황 진단 및 고해상도 미래 수문 시나리오 생산을 통한 수자원 관리에도 활용될 전망이며, 기후변화 취약성 평가를 위한 지표 개발에 이용될 예정이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.349-357
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• 2020

This study aimed to examine the effects of self-rated health on life satisfaction among Korean babyboomers and to address the mediating effect of depression on the self-rated health-life satisfaction relationship. Further, this study attempted to identify any relationship between self-rated health, depression, and life satisfaction among babyboomers according to work status. Researchers conducted a secondary data analysis using the 6th wave of the Korean Longitudinal Study on Aging. The final sample was 2,479 babyboomers born between 1955 and 1963. Testing the mediating effect of depression was done by the significance of direct, indirect, and total effects. Researchers also compared an unconstrained model with constrained model for multiple group analysis. Results indicate that self-rated health was a significant factor in determining the life satisfaction of babyboomers. In addition, depression had a significant mediating effect on the self-rated health and life satisfaction of babyboomers. Multiple group analysis demonstrated, in the non-working babyboomer model, the effects of self-rated health and depression on life satisfaction, and the effect of depression on life satisfaction was stronger than that of the working babyboomer model. The results of this study have established the importance of health and working status in addressing depression and life satisfaction among babyboomers.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.81-90
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• 2006

It is important to clarify the relationship between traffic accidents and various influencing factors in order to reduce the number of traffic accidents. This study developed a traffic accident frequency prediction model using by multi-linear regression and qualification theories which are commonly applied in the field of traffic safety to verify the influences of various factors into the traffic accident frequency The data were collected on the Korean National Highway 17 which shows the highest accident frequencies and fatality rates in Chonbuk province. In order to minimize the uncertainty of the data, the fuzzy theory and neural network theory were applied. The neural network theory can provide fair learning performance by modeling the human neural system mathematically. Tn conclusion, this study focused on the practicability of the fuzzy reasoning theory and the neural network theory for traffic safety analysis.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.25-34
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• 2020

The purpose of this study was to identify its influencing factors of depressive symptoms in postmenopausal middle-aged women though analyzing secondary data. The data of 647 with 40~65 aged women who participated in the Seventh Korea National Health and Nutrition Examination Survey in 2016 were used. The data were analyzed by complex sample independent t-test and multiple linear regression. In multiple linear regression analysis, economic status, subjective health status, perceived stress, smoking, physical activity, and limitation of active had significant effect on depressive symptoms in postmenopausal middle-aged women. These variables explained 36% of the variance in depressive symptoms. The findings suggest that healthcare providers should be considered to these factors when developing intervention strategies to decrease depressive symptoms in postmenopausal middle-aged women.