• 제목/요약/키워드: Height Prediction

검색결과 580건 처리시간 0.028초

한국 과체중 및 비만 여성의 휴식대사량 측정 및 예측값의 비교 (Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women)

  • 박지숙;임정은
    • 대한지역사회영양학회지
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    • 제23권5호
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    • pp.424-430
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    • 2018
  • Objectives: The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea. Methods: The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI. Results: Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = $721-(1.5{\times}age)+(0.4{\times}height)+(9.9{\times}weight)$. Conclusions: These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.

일정경사 수심단면에서 평균수위의 상승/저하 효과를 고려한 해빈류의 예측 (Prediction of Longshore Current with Set-up/down Effect on a Plane Beach)

  • 이철응;김영중;최한규
    • 산업기술연구
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    • 제17권
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    • pp.277-289
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    • 1997
  • The numerical model for prediction of longshore current with set-up/down effect on a plane beach is developed using the longshore component of the depth-integrated momentum balance equation. To predict the longshore current, the wave height model should first be formulated because the longshore current depends on the wave height directly. Two wave model, regular wave model and random wave model, are developed based on the energy flux balance equation. Also, the numerical model estimating the set-up inside the shoreline is developed using both the on-offshore momentum equation and the moving boundary technique. The numerical models are verified by the analytical solution, and compared with laboratory data. It is found from the comparison that developed models may be predicted accurately the longshore current with set-up/down effect on a plane beach.

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파랑변형 모형의 예측에 관한 연구 (A Study on the Prediction of Wave Deformation Model)

  • 옥치율;민일규
    • 한국해양공학회지
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    • 제9권2호
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    • pp.41-52
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    • 1995
  • the necessity of development of the Nearshore zone greatly emphasis in recent years. In the wave deformation model, we can get the wave height and wave direction using the hyperbolic mild slope equation considered the reflection wave. Radiation Stress the driving force of flow was calculated by the Watanabe and Maruyama who proposed on the partial standing wave. In the surf zone, applying the Izumiya and Horikawa's turbulent model considered the bottom friction and energy dissipation, we compared and examined with the Numerical model and Hydraulic test result of Watanabe and Maruyama. This model results obtained for Jin-ha Beach agreed well with the Numerical results. This model is expected so helpful to solve the prediction of the wave deformation problems in the development of the Nearshore zone in the future.

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풍황자원 예측시 기상청 풍황자료의 유효성 (Effectiveness of Wind Data from Automated Weather Stations for Wind Resources Prediction)

  • 황윤석;이원선;백인수;유능수
    • 산업기술연구
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    • 제29권B호
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    • pp.181-186
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    • 2009
  • The wind data measured from automated weather stations (AWS) at complex terrains in Korea was used to predict the wind velocity at nearby sites that are several kilometers away. The ten-minute averaged wind data was measured at a height of 10 meters. A commercial CFD code, WindSIM, based on the weighted averaged Navier-Stokes equation was employed. The results were compared with the data measured using meteorological masts (MM) at a height of 40 meters. The predictions using the AWS data and WindSIM showed good agreements with the measured data.

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랜스거동 분석을 이용한 슬로핑 예지기술 (Slopping Prediction using Analysis of Lance Behavior in BOF)

  • 임은섭;김흥묵;손붕호
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.31-35
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    • 2001
  • Slopping deteriorates the productivity and the stability of operation in BOF refining process, and hence POSCO has developed methods to predict and prevent slopping. Specific equipment was developed to measure the change of the reacting force to the oxygen-blowing lance against oxygen jet and the force was gathered and analyzed with the flow rate of oxygen and the height of lance. From this study, it was found that the reacting force is strongly correlated to the slag foam height. Currently, the modeling of the relation of the slag foaming level and the vertically acted force to lance is being approached for predicting the slopping.

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Monitoring The Children's Health Status and Forecasting Height with Nutritional Advice

  • Nguyen, Kim Ngan;Ton, Nu Hoang Vi;Vu, Tran Minh Khuong;Bao, Pham The
    • 전기전자학회논문지
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    • 제22권3호
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    • pp.680-692
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    • 2018
  • Children's health is interesting to parents and society. A system that assists to monitor the development of their children and gives nutritional advices is an interesting of parents. In this study, we present a system that allows to track the heights and weights of a child since he/she was born up to adulthood, to predict his age of puberty, and to provide nutritional advice. Particularly, it predicts the height in near future and the adult stature for detecting the child with abnormal development. We applied Sager's model for predicting the height in near future by using interpolation and regression techniques before puberty. After determining the puberty time, we proposed a model for predicting the height. Then we applied fuzzy logic for evaluating the health status and providing nutritional advice. Our system predicted stature in near future with error bound of $1.7361{\pm}0.0397cm$ in girls and $2.4020{\pm}0.0799cm$ in boys. Our model also gave a reliable adult stature prediction with error bound of $0.3507{\pm}0.2808cm$ in girls and $1.3414{\pm}0.7024cm$ in boys. At the same time, the nutrition was provided appropriately in terms of protein, lipid, glucid. We implemented a program based on this research. Our system promises to improve the health of every child.

수평 분할된 연약 점성토 지반 침하 예측에 관한 연구 (A Study on the Prediction of Settlement Horizontally Divided Soft Ground)

  • 류재하;김민수;김연중;정찬기
    • 한국지반환경공학회 논문집
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    • 제22권8호
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    • pp.13-19
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    • 2021
  • 연약 점성토 지반에 고속국도 등 대규모 SOC 공사 시 과대한 침하량으로 인하여 많은 문제점들이 발생하고 있어 정확한 침하예측은 개량공법의 선정, 사업비, 사업기간에 많은 영향을 미치게 된다. 현재 설계 시 사용되고 있는 대부분의 침하량 예측기법으로는 연약 점성토 지반의 두께를 단일층으로 하여 1차원 Terzaghi 압밀이론을 적용하고 있다. 그러나 연약 점성토 지반의 침하예측 시 대상층을 다수의 수평층으로 분할할 경우 침하량에 변화가 발생하고 있다. 본 연구에서는 성토고 변화 조건에서 연약점성토지반 수평분할에 따른 압밀침하거동을 분석하였다.

사출성형공정에서 다수 품질 예측에 적용가능한 다중 작업 학습 구조 인공신경망의 정확성에 대한 연구 (A study on the accuracy of multi-task learning structure artificial neural network applicable to multi-quality prediction in injection molding process)

  • 이준한;김종선
    • Design & Manufacturing
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    • 제16권3호
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    • pp.1-8
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    • 2022
  • In this study, an artificial neural network(ANN) was constructed to establish the relationship between process condition prameters and the qualities of the injection-molded product in the injection molding process. Six process parmeters were set as input parameter for ANN: melt temperature, mold temperature, injection speed, packing pressure, packing time, and cooling time. As output parameters, the mass, nominal diameter, and height of the injection-molded product were set. Two learning structures were applied to the ANN. The single-task learning, in which all output parameters are learned in correlation with each other, and the multi-task learning structure in which each output parameters is individually learned according to the characteristics, were constructed. As a result of constructing an artificial neural network with two learning structures and evaluating the prediction performance, it was confirmed that the predicted value of the ANN to which the multi-task learning structure was applied had a low RMSE compared with the single-task learning structure. In addition, when comparing the quality specifications of injection molded products with the prediction values of the ANN, it was confirmed that the ANN of the multi-task learning structure satisfies the quality specifications for all of the mass, diameter, and height.

An enhanced analytical calculation model based on sectional calculation using a 3D contour map of aerodynamic damping for vortex induced vibrations of wind turbine towers

  • Dimitrios Livanos;Ika Kurniawati;Marc Seidel;Joris Daamen;Frits Wenneker;Francesca Lupi;Rudiger Hoffer
    • Wind and Structures
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    • 제38권6호
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    • pp.445-459
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    • 2024
  • To model the aeroelasticity in vortex-induced vibrations (VIV) of slender tubular towers, this paper presents an approach where the aerodynamic damping distribution along the height of the structure is calculated not only as a function of the normalized lateral oscillation but also considering the local incoming wind velocity ratio to the critical velocity (velocity ratio). The three-dimensionality of aerodynamic damping depending on the tower's displacement and the velocity ratio has been observed in recent studies. A contour map model of aerodynamic damping is generated based on the forced vibration tests. A sectional calculation procedure based on the spectral method is developed by defining the aerodynamic damping locally at each increment of height. The proposed contour map model of aerodynamic damping and the sectional calculation procedure are validated with full-scale measurement data sets of a rotorless wind turbine tower, where good agreement between the prediction and measured values is obtained. The prediction of cross-wind response of the wind turbine tower is performed over a range of wind speeds which allows the estimation of resulting fatigue damage. The proposed model gives more realistic prediction in comparison to the approach included in current standards.

필드모델에서 연료소모에 기초한 화학적 화염높이 산정 (Estimation of Chemical Flame Height based on Fuel Consumption in a Fire Field Model)

  • 김성찬
    • 한국화재소방학회논문지
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    • 제30권2호
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    • pp.92-97
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    • 2016
  • 본 연구는 필드모델에서 소모된 연료에 기초하여 화학적 화염높이를 산정하기 위한 방법을 검토하고자 한다. 높이 방향으로 HRRPUL의 누적값과 연료농도에 따른 계산 알고리즘을 FDS 해석결과에 적용하였으며 평균화학적 화염높이는 알고리즘을 적용한 순간화염높이의 시간평균을 통해 산정하였다. 연료농도에 기초한 평균화염높이는 HRRPUL의 누적값에 의해 계산된 화염높이와 10% 이내의 상향예측범위에서 일치된 결과를 보였다. 이러한 연구는 전산화재해석모델에서 정량적인 화염높이를 산정하고 보다 상세한 화재거동특성을 이해하는데 기여하고자 한다.