• 한국가정과학회지
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• 제10권2호
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• pp.43-51
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• 2007

This study aims at looking into the differences of the adolescent's school adjustment of the high school first and second graders according to their school type, family background factors and family strength. Based on the results, this study is to identify the relative influences of those students' school type, family background factors and family strength factors on their school adjustment by gender. The conclusions of this study are as follows: First, adolescent's school adjustment shows some differences according to their school type and gender but does not exhibit any interaction effect. Second, the parent's educational levels don't show any difference on their school adjustment by both gender. Third, the most important predictor affecting adolescent's school adjustment is family strength factors in boys and girls all together.

• 한국산학기술학회논문지
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• 제19권12호
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• pp.7-13
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• 2018

콘크리트 강도는 시멘트, 물, 자갈, 모래 그리고 혼화재 등 내부영향요인뿐만 아니라 실제 현장에서 발생하는 현장기온과 타설지연시간 등 외부영향요인의 영향을 받게 된다. 본 연구의 목적은 콘크리트 배합설계 시 내부영향요인과 외부영향요인을 고려하여 현장 콘크리트 타설시 최적의 콘크리트 강도를 확보하는 것이다. 본 연구에서는 내부영향요인과 외부영향요인에 대한 수준을 정의하고, 모두 24개의 조합에 대한 콘크리트 강도 테스트를 한 후 콘크리트 강도예측 뉴럴 네트워크 모델을 개발했다. 본 콘크리트 강도예측 뉴럴 네트워크 모델은 현장 콘크리트 타설 시 현장기온과 타설지연시간을 고려하여 콘크리트 강도를 예측하는 기능을 제공한다. 본 콘크리트 강도예측 뉴럴 네트워크 모델은 내부영향요인과 외부영향요인을 분석하고 실제 현장에서 콘크리트를 타설할 때 양생온도와 타설지연시간을 뉴럴 네트워크 입력변수로 처리하여 콘크리트 강도를 예측하는 기능을 제공한다. 시공사는 콘크리트 강도예측 결과를 활용하여 콘크리트 배합을 조정함으로써 현장타설 콘크리트 강도를 관리할 수 있을 것이다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.130-131
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• 2018

The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, nine influential factors (W/B ratio, Water, Cement, Aggregate(Coarse, Fine), Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at 4 conferences in order to know the various correlations among data and the tendency of data. The selected mixture and compressive strength data were learned using the Deep Learning Algorithm to derive an estimated function model. The purpose of this study is to investigate the effect of the number of hidden layers on the prediction performance in the process of estimating the compressive strength for an arbitrary combination.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2017년도 춘계 학술논문 발표대회
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• pp.152-153
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• 2017

In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, six influential factors (Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. After using algorithm of various methods of machine learning techniques, we selected the most suitable regression analysis model for estimating the compressive strength.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2003년도 가을 학술발표회 논문집
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• pp.527-532
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• 2003

When fresh concrete is exposed to sufficiently low temperature, the free water in the concrete is cooled below its freezing point and transforms into ice, which causes decrease in compressive strength of concrete. Of the many influencing factors on the loss of compressive strength, the age of concrete at the beginning of freezing, water-cement ratio, and cement-type are significantly important. The objective of this study is to examine how the these factors affect the compressive strength of concrete frozen at early ages. The results from the tests showed that as age at the beginning of freezing is delayed and water-cement ratio is low, the loss of compressive strength decreases. In addition, concrete made with high-early-strength cement is less susceptible to frost damage than concrete made with ordinary portland cement.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2017년도 추계 학술논문 발표대회
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• pp.83-84
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• 2017

In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, seven influential factors (W/B ratio, Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. The purpose of this paper is to estimate compressive strength more accurately by applying it to algorithm of the Deep learning.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2005년도 춘계 학술기술논문발표대회 논문집
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• pp.41-44
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• 2005

The aim of this study is to develop experimentally ultra high-strength concrete with compressive strength over 100MPa with current materials by important factors to influence the compressive strength of concrete. There are so many factors which influence the manufacturing of ultra high-strength concrete. But the experimental factors selected in this study are the sand aggregate ratio, the silica fume replacement ratio, the type of aggregate. the type of superplasticizer, the fiber mixing ratio. The results of this experimental study show that. it is possible to applicate in the field

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2009년도 춘계 학술발표회
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• pp.288-298
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• 2009

It is well known that the peak strength envelope of geomaterials with no cohesion, such as sand, gravel and rockfill, exhibits significant curvature over a range of stresses. In a practical design of slope, however, the linear Mohr-Coulomb's failure envelope is used as a failure criterion and consequently gives inaccurate safety factors, especially for some ranges of small normal stresses on shallow failure surfaces. Necessity of a nonlinear shear strength envelope in slope stability analysis is on this point. Hence, this study describes how to evaluate nonlinear shear strength of gravel fill materials using the results of large triaxial tests under consolidated-drained condition, and compares the safety factors from slope stability analyses for a homogeneous gravel fill or rockfill embankment incorporating the non-linearity of strength, so as to show its effects on safety factors.

• 한국치위생학회지
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• 제19권5호
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• pp.743-752
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• 2019

Objectives: Grip strength is a measure for assessing overall muscle strength, muscle mass, and nutritional status, and is a useful tool for early examination of a person's general health. Thus, this study analyzed the association between oral health-related factors and grip strength, using the 6th Korea National Health and Nutrition Examination Survey (KNHANES) data. Methods: Data were analyzed using the IBM SPSS version 25.0 (IBM Co., Armonk, NY, USA) software with a complex sampling analysis of stratified and clustered variables, all with weighted values, applied for every analysis conducted. From the 6th KNHANES data, a total of 26,101 people were selected as the study population. A complex sample generalized linear model analysis was performed for participants' sociodemographic characteristics, health status, use of oral care products, and factors such as adult mastication and speaking habits. Results: Grip strength was found to be higher among men compared to women. Grip strength was the highest in the 20-39 year old group. Furthermore, grip strength was statistically significantly higher among married and employed individuals, and in the right hand (p<0.001). Grip strength was statistically significantly higher among people who perceived themselves to have good health and among those who did not have health-related problems in the past two weeks (p<0.001). It was also higher among those who used interdental brushes and electronic toothbrushes (p<0.001), but decreased with greater discomfort in mastication and speaking among adults (p<0.05). Conclusions: Grip strength was found to be associated with oral health-related factors and therefore, these could be helpful tools in evaluating both general and subjective health statuses. In general, oral care products are small in size with oral care involving the use of hands and certain precise motions and actions to remove foreign substances in the oral cavity. As shown in the findings, grip strength declines with increased age and as a result, the use of oral care products should be strongly recommended in order to promote better general health.

• 한국지반공학회논문집
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• 제22권10호
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• pp.33-45
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• 2006

C.S.G(Cemented Sand and Gravel) 재료는 댐 수몰지로부터 쉽게 얻을 수 있는 굴착토와 하상자갈에 소량의 시멘트와 물을 혼합한 재료를 총칭하는 것으로 최근 댐, 도로, 호안등의 건설재료로 그 활용성이 점차 증가하고 있다. 통상적으로 C.S.G 재료의 강도특성은 입도분포, 단위시멘트량, 재령, 그리고 함수비 등과 같은 여러 가지 요소에 의하여 영향을 받는 것으로 보고되고 있다. 본 연구에서는 화북댐 유역의 하상자갈을 3가지 종류의 입도분포로 재구성하여 재령, 단위시멘트량 그리고 함수비의 혼합 비율에 따른 일축압축강도의 변화를 연구하였다. 실험결과 C.S.G 재료의 일축압축강도는 상기 영향 인자들에 의하여 다양하게 영향을 받았으며, 특히 입도분포와 단위수량은 C.S.G 재료의 강도를 결정하는데 매우 중요한 인자임을 알 수 있었다. 또한 이러한 실험적 결과를 토대로 각 영향인자를 고려한 강도 예측식을 제안함으로써 설계 및 시공에 필요한 기초적인 자료를 제공하고자 한다.