• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.2
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• pp.84-91
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• 2015

In this paper, to overcome disadvantages of existing lining boards, the parametric studies to evaluate safety and verify performance of newly suggested lining boards was performed. Since the calculated stresses of steel plates are lower than the allowable stress for considered all analytical variables, end reinforcement locations, and crane rail loads, it can be concluded that the suggested lining board is structurally safe. Where, "$3,000{\times}2,000{\times}6t$" was select to be optimized cross-section and the reinforcement from the end to 200mm to the internal direction looks like the best case. In addition, the suggested lining board is economical since the steel amount per unit area compared to existing lining board is reduced by 36% and it can apply to the lining structural system of subway and underpass since construction speed is past due to the less installation number of lining boards.

• Journal of Korean Society of Steel Construction
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• v.19 no.6
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• pp.575-585
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• 2007

In this study, a new design equation was presented for square CFTs with high-strength concrete subjected to axial compression and bending. In a previous study, a design equation for square CFTs with normal strength concrete was proposed. A parametric study by fiber analysis was performed taking the width-to-thickness ratio (b/t) and the relative concrete strength to the yield strength of the steel tube (fck/Fy) as the main parameters of this study to determine the maximum moment and the axial load at the maximum moment. A new constitutive model for concrete was adopted for fiber analysis in order to take into account the effect of high-strength concrete. The results of the parametric study were embedded into the method which was presented in the previous study to formulate a new design equation that can be easily used for estimating the strength of square CFTs with high-strength concrete.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3833-3838
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• 2010

Brainwave can be the most effective means of detecting the state of the brain that changes moment by moment. Since brain has closed relations with hormones which are a foundation of metabolism, it needs to examine closely the mutual relationship between brainwave and hormone. We examined the possibility to find out such information about metabolism by comparing brainwave with cortisol hormone. The major variables are anti-stress quotient of brainwave and cortisol density which give stress information of the working women, to measure from March 3 to May 28, 2007. To find out the relationship between them, we performed such statistical analysis about the before and after of brainwave training as t-test, correlational analysis and regression analysis. We obtained following results: First, considerable changes of variables is shown by brain-wave training. Second, there exist a correlation between variables. Third, according to regression analysis, influence between variables is verified. Thus, we found that stress information of hormone analytical level can be obtined only through brainwave analysis.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.199-206
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• 2018

This study was to investigate the Influence of smart phone use on gait in healthy adults. Twenty healthy adults were recruited in this study. All subjects performed twice for each normal gait and smart phone gait. The normal gait walked at their chosen speed, and the smart phone gait walked while watching the video. GAITRite system was used to identify the temporal and spatial variables related to the gait pattern during walking. Statistical analysis was analyzed by paired t-test. In comparison of temporal variables, smart phone gait was significantly lower in gait speed and cadence than in normal gait(p<.05), and was significantly longer in single support time and double support time(p<.05). In comparison of spatial variables, smart phone gait was significantly shorter in step length and stride length than in normal gait(p<.05) and significantly longer in step width(p<.05). The results of this study demonstrated that smartphone use can negatively affect the correct gait patterns during walking.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.64-75
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• 2017

Previous count models using fixed parameter can not consider the unobserved heterogeneity, as the standard error of the count value is underestimated, excessive t-values are derived thereby reducing the reliability of the model. Also, the study of unsignalized intersections are inadequate because of the difficulty of collecting data and statistical limits for accurate analytical processes compared to the signalized intersections. The purpose of this study is to analyze the factors affecting traffic accidents by constructing the count model using random parameters, and it aimed to distinguish between existing studies based on the rural unsignalized intersections. As a result of the analysis, 7 variables were presented as significant variables, and 2 variables(presence of crosswalk, speed limit) were presented as random parameter.

• Journal of Biomedical Engineering Research
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• v.21 no.3 s.61
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• pp.303-309
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• 2000

An accurate quantitative biomechanical evaluation for the spasticity caused by the disorder of central nervous system was made in this study. A sudden leg dropper was designed to generate objective testing environment at every trial. 3-dimensional motion analysis system(Elite. B.T.S. Italy) was used to measure kinematic data which were angle. and angular velocity of a lower limb. A program was developed to analyze the kinematic data of lower limb motion. and dynamic EMG data at the same time. To evaluate spasticity quantitatively. total 26 parameters including 14 parameters newly driven were analyzed, and statistical analysis were made for bilateral correlations. Results showed possibility to make accurate quantitative and objective evaluation for spasticity with various new parameters using new devices and program.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.271-276
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• 2019

This study is about the effectiveness of Jahwal consulting. We analyzed 275 self-supporting participants of 58 self-supporting companies in eight wide-area self-supporting centers nationwide. After consulting by conducting a questionnaire before consulting, we conducted a questionnaire to analyze the differences. The measurement variables consisted of 3 variables and 6 subparameters. The top variables are interpersonal relationships, organizational systems, and self-help business will. The sub-elements are interaction, communication between members, horizontal leadership, organizational stability, personal suitability and developability. The questionnaire was analyzed using SPSS 21.0, frequency analysis, and t-test. The purpose of this study is to verify the effectiveness of consulting conducted by Jahwal institutions. For this reason, we developed a measurement scale, and analyzed changes before and after consulting using that scale. As a result of the analysis, it was found that self-help consulting is effective. It was also analyzed that there was mode significance in the analysis by gender, age, region and educational background.

• Industry Promotion Research
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• v.7 no.1
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• pp.1-8
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• 2022

We investigated various types of machine learning methods that can be applied to censored data. Exploratory data analysis reveals the distribution of each feature, relationships among features. Next, classification problem has been set up where the dependent variable is death_event while the rest of the features are independent variables. After applying various machine learning methods to the data, it has been found that just like many other reports from the artificial intelligence arena random forest performs better than logistic regression. But recently well performed artificial neural network and gradient boost do not perform as expected due to the lack of data. Finally Kaplan-Meier and Cox proportional hazard model have been employed to explore the relationship of the dependent variable (t_i, δ_i) with the independent variables. Also random forest which is used in machine learning has been applied to the survival analysis with censored data.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.511-511
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• 2023

기후변화로 동절기 기온 저하에 따른 수도계량기의 동파는 지속적으로 심화되고 있으며, 이는 계량기 교체 비용, 누수, 누수량 동결에 의한 2차 피해, 단수 등 사회적 문제를 야기한다. 이와같은 문제를 해결하고자 구조적 대책으로 개별 가정에서 동파 방지형 계량기를 설치할 수 있으나 이를 위한 비용발생이 상당하고, 비구조적 대책으로는 기상청의 동파 지도 알림 서비스를 활용하여 사전적으로 대응하고자 하나, 기상청자료는 대기 온도를 중심으로 제공하고 있기 때문에 해당서비스만으로는 계량기의 동파를 예측하는데 필요한 추가적인 다양한 변수를 활용하는데 한계가 있다. 최근 정부와 공공부문에서 22개 지역, 110개소 이상의 수도계량기함내 IoT 온도센서를 시범 설치하여 계량기 함내의 상태 등을 확인할 수 있는 사업을 수행했다. 전국적인 계량기 상태의 예측과 진단을 위해서는 추가적인 센서 설치가 필요할 것이나, IoT센서 설치 비용 등의 문제로 추가 설치가 더딘 실정이다. 본 연구에서는 겨울 동파 예방을 위해 실제 온도센서를 기반으로 가상센서를 구축하고, 이를 혼합한 하이브리드 방식으로 동파위험 기준에 따라 전국 동파위험 지도를 구축하였다. 가상센서 개발을 위해 독립변수로 위경도, 고도, 음·양지, 보온재 여부 및 기상정보(기온, 강수량, 풍속, 습도)를 활용하고, 종속변수로 실제 센서의 온도를 사용하여 기계학습 모델을 개발하였다. 지역 특성에 따라 정확한 모델을 구축하기 위해 위치정보 및 보온재여부 등의 변수를 활용하여 K-means 방법으로 군집화 하였으며, 각 군집별로 3가지의 기계학습 회귀모델을 적용하였다. 최적의 군집 수를 검토한 결과 4개가 적정한 것으로 판단되었다. 군집의 특성은 지역별 구분과 유사한 패턴을 보이며, 모든 군집에서 Gradient Boosting 회귀모델을 적용하는 것이 적합한 것으로 나타났다. 본 연구에서 개발한 모델을 바탕으로 조건에 따라 동파 예측 알람서비스에 실무적으로 활용할 수 있도록 양호·주의·위험·매우위험 총 4개의 기준을 설정하였다. 실제 본 연구에서 개발된 알고리즘을 국가상수도정보 시스템에 반영하여 테스트 수행중에 있으며, 향후 지속 검증을 할 예정에 있다. 이를 통해 동파 예방 및 피해 최소화, 물절약 등 직간접적 편익이 기대된다.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.341-346
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• 2013

Objectives: This study was designed to provide basic data that would be helpful in planning mental health programs designed to help elderly people have a satisfying life as an elder by identifying the factors that affect cognition of urban and rural elderly people. Methods: Subjects included 160 elderly people on Daejeon and Geumsam. Structured questionnaires were used for data collection from march 2, 2011 to July 30, and descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and hierarchical regression analysis of SPSS 18.0 program were performed for data analysis. Results: A significant difference in cognition was observed between two groups(t=-2.232, p=.029). Cognition & depression didn't have correlation(urban area(r=.021, p=.860), rural area(r=.-131, p=.271)). Significant factors influencing cognition included education(t=4.069, p<.001) and age(t=-2.812, p=.001) in urban area and sex(t=-3.011, p<.001), age(t=-4.866, p<.001), education(t=3.525, p<.001) in rural area. These factors explained 26.1% and 57.2% of the variance. Conclusion: Findings of this study suggest the need for development of appropriate nursing strategies depending on the difference of the environment to increase cognitive function and to decrease the incidence of depression in elderly people.