• 한국지반환경공학회 논문집
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• 제15권11호
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• pp.21-27
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• 2014

본 연구에서는 37개의 CCRD에 대한 계측자료(46개 지점)를 통해 댐 축조단계에서 얻어지는 계측자료를 이용하여 담수 후 댐의 정부침하량 및 내부침하량 예측기법을 제안하였다. 전체 데이터에 대한 분석 결과, 담수 후 시간경과에 따라 정부침하량이 함께 증가함이 확인되었으며, 댐 코어의 재료를 조립질과 세립질의 2가지 유형으로 구분한 댐 높이와 시공 중 최대 내부침하량의 관계로부터 조립질 재료를 사용 시의 내부침하량이 다소 크게 평가되었다. 또한 내부침하량은 댐 높이에 비례하여 증가하였으며, 댐 코어로서 세립질 재료를 사용하는 경우의 정부침하량이 상대적으로 크게 평가되었다. 본 연구결과는 향후 CCRD의 설계, 시공, 장기적 유지관리를 위한 유용한 도구가 될 것으로 전망된다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2194-2199
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• 2007

An experimental study is performed to investigate the thermal and flow characteristics of subcooled liquid nitrogen in a natural circulation loop. Experimental apparatus is designed and constructed such that a closed loop is cooled at the top by a cryocooler and heated nearly at the bottom by cartridge heaters. Steady state is obtained by controlling the heating power to the cartridge heaters and a thin-film heater to reduce the cooling power of the cryocooler. Temperature is measured at several locations of the loop and the mass flow rate through the loop is estimated from the energy balance in terms of the measured temperatures. Experiment is repeated for various values of the vertical height between the cooling and heating parts. The results show that the heat transfer capability of the loop has a maximum at a certain value of height. The optimal height to maximize the heat transfer is in a good agreement with analytical prediction to take into account the buoyancy and viscous forces in the loop.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.147-154
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• 2019

In this paper, we conducted a study that utilizes deep learning to calculate appropriate physical exercise information when basic human factors such as sex, age, height, and weight of users come in. To apply deep learning, a method was applied to calculate the amount of fat needed to calculate the amount of one repetition maximum by utilizing the structure of the basic Deep Neural Network. By applying Accuracy improvement methods such as Relu, Weight initialization, and Dropout to existing deep learning structures, we have improved Accuracy to derive a lean body weight that is closer to actual results. In addition, the results were derived by applying a formula for calculating the one repetition maximum load on upper and lower body movements for use in actual physical exercise. If studies continue, such as the way they are applied in this paper, they will be able to suggest effective physical exercise options for different conditions as well as conditions for users.

• 해양환경안전학회지
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• 제26권7호
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• pp.892-903
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• 2020

태풍 내습 시 신속하고 정확한 해일고 예측은, 연안재해 대응에 필수적인 요소이다. 이러한 해일고의 예측을 위해서 기존에는 태풍예측정보를 수치모델에 적용하여 예측자료를 생산하는 것이 대부분 이였다. 이러한 방법은 대용량의 컴퓨팅 자원과 시간이 소요된다는 단점이 있다. 최근에는 인공지능 기반으로 신속하게 예측자료를 생산하는 연구가 다양한 분야에서 진행되고 있으며, 본 연구에서는 인공지능 기반 해일고 예측을 수행하였다. 인공지능 적용을 위해서는 많은 수의 학습자료가 필요하게 되며, 기왕 발생태풍은 개수가 한정되어 있어 본 연구에서는 TCRM(Tropical Cyclone Risk Model)을 통하여 합성태풍을 생성하고, 이를 폭풍해일 모델에 적용하여 해일고 자료를 생성한 후, 학습자료로 활용하였다. 인공지능으로 예측한 해일고와 실제 발생 태풍에 대한 비교 결과, RMSE(Root Mean Square Error)는 0.09 ~ 0.30 m, CC(Correlation Coefficient)는 0.65 ~ 0.94, 최대 해일고의 ARE(Absolute Relative Error)는 1.0 ~ 52.5 %로 분석되었다. 특정 태풍/지점에서는 다소 오차가 크게 나타나고 있으나, 향후 학습자료의 최적화 등을 통하여 정확도를 개선할 수 있을 것으로 기대된다.

• 한국화재소방학회논문지
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• 제32권1호
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• pp.16-23
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• 2018

다양한 밀폐 구획을 대상으로 내부 체적 및 화재성장률의 변화에 따라 최대 열발생률의 예측이 가능한 상관식이 수치적으로 검토되었다. 구획의 체적은 ISO 9705 화재실의 바닥면 형상을 기준으로 길이 비의 변화를 통해 조절되었으며, 이때 천장 높이는 2.4 m로 고정되었다. 주요 결론으로서, 천장 높이의 변화가 고려된 선행연구 결과와의 비교를 통해, 천장 높이의 변화가 최대 열발생률에 미치는 영향이 검토되었다. 또한 밀폐된 구획에서 천장 높이 변화와 관계없이 최대 열발생률을 예측할 수 있는 보다 일반화된 상관식이 제안되었다. 이 상관식은 수치결과와 비교할 때 다양한 화재성장률에 대하여 평균적으로 7%, 그리고 최대 19%의 오차를 갖는 것으로 확인되었다. 마지막으로 국내 성능위주설계에 적용된 5개의 대표적인 구획을 대상으로, 제안된 상관식의 적용 가능성이 검토되었다. 본 연구결과는 화재시뮬레이션에서 요구되는 입력정보 뿐만 아니라, 밀폐된 공간에서 플래시오버에 의해 야기될 수 있는 최대 열발생률의 예측에 관한 유용한 정보를 제공할 것으로 기대된다.

• 한국화재소방학회논문지
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• 제20권2호
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• pp.14-20
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• 2006

본 연구의 목적은 건축내장재의 발화시간과 열방출율을 예측하고자 한다. 반응표면방법론(RSM)과 문헌자료를 사용하여 건축내장제의 새로운 발화시간과 열방출율의 예측식을 제시하였다. 재료의 두께와 밀도에 의한 발화시간의 예측값과 문헌값의 A.A.P.E.는 4.35초, A.A.D.는 1.57초 그리고 상관계수는 0.987이였다. 버너의 폭과 열량에 의한 순열방출율의 예측값과 문헌값의 상관계수는 0.983이였으며, 버너의 폭과 열량에 의한 총열방출율의 예측값과 문헌값의 상관계수는 0.999였다. 또한 버너의 폭과 열량에 의한 최대 화염높이의 상관계수는 0.999로서, 제시한 예측식들에 의한 예측값은 문헌값과 일치하였다.

• 한국안전학회지
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• 제24권2호
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• pp.89-93
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• 2009

The muscular-skeletal disorders that have become a major issue recently in Korean industrial safety area are mainly caused by manual material handling task. The objective of this study is to provide scientific data for the establishment of work safety standard for Korean workers through the experiments of lifting task under various conditions, in order to prevent the muscular-skeletal disorders in the industrial work site. This study used the psychophysical approach to determine the maximum acceptable weight(MAWL) for seven young male subjects, and used isometric and isoinertial strength variables as predictors to develop prediction models. Also, the oxygen consumption, heart rate, and RPE were measured or recorded while subjects were lifting their MAWL. Three different lifting frequencies(1, 3, 5lifts/min) with two lifting range from floor to knuckle height and knuckle to shoulder height for one hour's work shift using free style lifting technique were studied. These results may not only provide scientific data in establishing the safety standards for Korean workers' lifting tasks, but also contribute preventing the rapidly increasing muscular-skeletal disorders lately on the industrial site.

• 대한인간공학회지
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• 제27권2호
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• pp.1-7
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• 2008

This study quantified 7 trunk muscles' physiological cross-sectional areas (PCSAs) and developed prediction equations for the physiological cross-sectional area as a function of anthropometic variables for Korean people. Nine females and nine males were participated in the magnetic resonance imaging (MRI) scans approximately from S1 through T8. Muscle fiber angle corrected cross-sectional areas (anatomical cross sectional areas: ACSAs) were recorded at each vertebral level and maximum value of ACSAs were determined as physiological cross sectional area (PCSA). There was a significant gender difference in PCSAs of all muscles (p<0.05). Stepwise linear regression techniques using anthropometric measures (e.g., height, weight, trunk depths and widths) as independent variables were conducted to develop prediction equations for the PCSA for each muscle. For males, six muscles' significant prediction equations (p<0.05) were developed except quadratus lumborum. For females, three prediction equations were developed for psoas, quadratus lumborum, and erector spinae muscles (p<0.05).

• Earthquakes and Structures
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• 제6권3호
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• pp.251-266
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• 2014

Dynamic analyses for a suite of ground of motions were conducted on concrete gravity dam sections to examine the earthquake induced stresses and effective damping. For this purpose, frequency domain methods that rigorously incorporate dam-reservoir-foundation interaction and time domain methods with approximate hydrodynamic foundation interaction effects were employed. The maximum principal tensile stresses and their distribution at the dam base, which are important parameters for concrete dam design, were obtained using the frequency domain approach. Prediction equations were proposed for these stresses and their distribution at the dam base. Comparisons of the stress results obtained using frequency and time domain methods revealed that the dam height and ratio of modulus of elasticity of foundation rock to concrete are significant parameters that may influence earthquake induced stresses. A new effective damping prediction equation was proposed in order to estimate earthquake stresses accurately with the approximate time domain approach.

• Journal of Biosystems Engineering
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• 제22권2호
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• pp.256-265
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• 1997

The objectives of this study were to examine the ability to predict soluble solid and firmness in intact apples based on the visible/near-infrared spectroscopic technique. Two cultivars of apples, Delicious and Gala, were handled, tested and analyzed separately. Reflectance spectra, Magness-Tayor (MT) firmness, and soluble solids in apples were measured sequentially. Maximum and minimum diameters, height, and weight of apples were recorded before the MT firmness tests. A spectrophotometer was used to collect reflectance spectra of intact apples over a wavelength range of 400 to 2, 498 nm. The W firmness tests were conducted using a standard 11.1mm (7/16 in.) MT probe mounted in an Instron universal testing machine. A digital refractormeter was used to measure soluble solid contents in the apples. Apple samples were divided into a calibration set and a prediction set. The calibration set was used during model development, and the prediction set was used to predict soluble solids and firmness from unknown spectra. The method of partial least square (PLS) analysis was used. An unique set of PLS loading vectors (factors) was developed for soluble solid content and firmness. The PLS model showed good correlations between predicted and measured soluble solids of intact apples in 860～1078 nm of the wavelengths. However, the PLS analysis was not good enough to predict the apple firmness.