• Title/Summary/Keyword: Prediction of the Shape

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다중 선형 회귀 기반 기계 학습을 이용한 인공지지체의 사각 기공 형태 진단 모델에 관한 연구 (A Study on Square Pore Shape Discrimination Model of Scaffold Using Machine Learning Based Multiple Linear Regression)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제19권4호
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    • pp.59-64
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    • 2020
  • In this paper, we found the solution using data based machine learning regression method to check the pore shape, to solve the problem of the experiment quantity occurring when producing scaffold with the 3d printer. Through experiments, we learned secured each print condition and pore shape. We have produced the scaffold from scaffold pore shape defect prediction model using multiple linear regression method. We predicted scaffold pore shapes of unsecured print condition using the manufactured scaffold pore shape defect prediction model. We randomly selected 20 print conditions from various predicted print conditions. We print scaffold five times under same print condition. We measured the pore shape of scaffold. We compared printed average pore shape with predicted pore shape. We have confirmed the prediction model precision is 99 %.

국내 지진기록의 통계적 분석에 기반한 스펙트럴 가속도 응답 예측기법 (Prediction of Spectral Acceleration Response Based on the Statistical Analyses of Earthquake Records in Korea)

  • 신동현;홍석재;김형준
    • 한국지진공학회논문집
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    • 제20권1호
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    • pp.45-54
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    • 2016
  • This study suggests a prediction model of ground motion spectral shape considering characteristics of earthquake records in Korea. Based on the Graizer and Kalkan's prediction procedure, a spectral shape model is defined as a continuous function of period in order to improve the complex problems of the conventional models. The approximate spectral shape function is then developed with parameters such as moment magnitude, fault distance, and average shear velocity of independent variables. This paper finally determines estimator coefficients of subfunctions which explain the corelation among the independent variables using the nonlinear optimization. As a result of generating the prediction model of ground motion spectral shape, the ground motion spectral shape well estimates the response spectrum of earthquake recordings in Korea.

Aerosol을 이용한 Direct-Write 시스템에서 침착된 입자의 형상예측 모델에 관한 연구 (DEVELOPMENT OF PREDICTION MODEL OF THE SHAPE OF DEPOSITED PARTICLES APPLIED FOR AEROSOL BASED DIRECT-WRITE TECHNOLOGY)

  • 박준정;백성구;리광훈
    • 한국전산유체공학회지
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    • 제13권1호
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    • pp.1-6
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    • 2008
  • Direct Write Technologies are being utilized in various industrial fields such as antennas, engineered structures, sensors and tissue engineering. With Direct Write Technologies, producing features have the mesoscale range, from 1 to 100 microns. One form of the Direct Write Technologies is based on aerosol dynamics. The shape of deposited aerosols determine the form of products in the Direct Write Technology based on aerosol dynamics. To predict shape of deposited aerosol, a prediction model is created. In this study, we estimated Line-Width and Line-Thickness from the prediction model. Results of prediction model is valid from comparison with experimental results.

Development of weight prediction 2D image technology using the surface shape characteristics of strawberry cultivars

  • Yoo, Hyeonchae;Lim, Jongguk;Kim, Giyoung;Kim, Moon Sung;Kang, Jungsook;Seo, Youngwook;Lee, Ah-yeong;Cho, Byoung-Kwan;Hong, Soon-Jung;Mo, Changyeun
    • 농업과학연구
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    • 제47권4호
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    • pp.753-767
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    • 2020
  • The commercial value of strawberries is affected by various factors such as their shape, size and color. Among them, size determined by weight is one of the main factors determining the quality grade of strawberries. In this study, image technology was developed to predict the weight of strawberries using the shape characteristics of strawberry cultivars. For realtime weight measurements of strawberries in transport, an image measurement system was developed for weight prediction with a charge coupled device (CCD) color camera and a conveyor belt. A strawberry weight prediction algorithm was developed for three cultivars, Maehyang, Sulhyang, and Ssanta, using the number of pixels in the pulp portion that measured the strawberry weight. The discrimination accuracy (R2) of the weight prediction models of the Maeyang, Sulhyang and Santa cultivars was 0.9531, 0.951 and 0.9432, respectively. The discriminative accuracy (R2) and measurement error (RMSE) of the integrated weight prediction model of the three cultivars were 0.958 and 1.454 g, respectively. These results show that the 2D imaging technology considering the shape characteristics of strawberries has the potential to predict the weight of strawberries.

동결생선의 외형과 부피 예측 모델링 및 정중량 절단 (Shape, Volume Prediction Modeling and Identical Weights Cutting for Frozen Fishes)

  • 현수환;이성춘;김경환;서기성
    • 한국지능시스템학회논문지
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    • 제22권3호
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    • pp.294-299
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    • 2012
  • 본 논문은 단체 급식용 동결 생선을 일정한 중량으로 절단하기 위하여, 생선의 외형 및 부피 예측 모델링 기법을 제안하고, 실제 생선에 대한 절단 실험을 수행한다. 단체 급식용 동결 생선은 동결 하는 시점에서 발생한 생선의 휘어짐과, 머리를 절단하고 내장을 제거할 때에 발생하는 중공이 존재한다. 이외에도 동결의 영향으로 나타나는 표면의 반짝임이나 수분 량에 따른 무게의 차이로 인해 측정 및 추정의 어려움이 크다. 따라서 동결 생선의 외형과 부피를 정확히 추정하기 위해서는 상기의 특성과 문제점들을 반영한 복합적인 추정 알고리즘이 필요하다. 이를 위해, 중공 예측, 신경망을 이용한 꼬리부분 패턴 분류 및 모델링, 그리고 적분 기법 기반의 부피 예측 알고리즘을 각각 제안하고, 삼치, 꽁치, 고등어 3종류의 생선에 대해서 3차원 계측, 부피 예측 및 절단 실험을 수행한다.

이형인발공정 하중예측에 관한 연구 (Prediction of Drawing Load in the Shape Drawing Process)

  • 이태규;이찬주;이상곤;김병민
    • 소성∙가공
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    • 제18권4호
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    • pp.323-328
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    • 2009
  • The prediction of drawing load is very important in the drawing process. However, it is not easy to calculate the drawing load for the shape drawing process through a theoretical model because of a complex arbitrary final cross section shape. The purpose of this study is to predict drawing load in shape drawing process. The cross section of product is divided with small angle as much as similar with fan-shape. The drawing load of each section was calculated by theoretical model of round to round drawing process. And the shape drawing load was determined by summation of drawing load of each section. The effectiveness of the proposed method was verified through the FE analysis and shape drawing experiment. It had a good agreement between proposed method, FE analysis and experiment within about 3% errors.

원형 캐비테이터의 받음각에 따른 환기초공동 형상 예측 연구 (The prediction of ventilated supercavitation shapes according to the angle of attack of a circular cavitator)

  • 이종주;김민재;백부근;김경천
    • 한국가시화정보학회지
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    • 제19권3호
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    • pp.22-30
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    • 2021
  • Ventilated cavity shapes by varying angle of attack of a circular cavitator were predicted based on Logvinovich's Independence Principle in order to verify the cavity shape prediction method. The prediction results were compared with model experiments conducted in the high-speed cavitation tunnel. In the prediction of the cavity centerline, the movement of the cavity centerline due to the effect of gravity and cavitator's angle of attack were well predicted. In the prediction of the cavity contour, it was found that the cavity edge prediction error increased as the angle of attack increased. The error of the upper cavity contour was small at the positive angle of attack, and the error of the lower cavity contour was small at the negative angle of attack.

2중 Wiebe 연소모델을 이용한 2행정 대형 선박용 디젤엔진의 성능예측 (The prediction of Performance in Two-Stroke Large Marine Diesel Engine Using Double-Wiebc Combustion Model)

  • 김태훈
    • Journal of Advanced Marine Engineering and Technology
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    • 제23권5호
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    • pp.637-653
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    • 1999
  • In this study well-known burned rate expressions of Weibe function and double Wiebe function have been adopted for the combustion analysis of large two stroke marine diesel engine. A cycle simulation program was also developed to predict the performance and pressure waves in pipes using validated burned rate function,. Levenberg-Marquardt iteration method was applied to cali-brate the shape coefficients included in double Wiebe function for the performance prediction of two-stroke marine diesel engine. As a result the performance prediction using double Wiebe func-tion is well correlated withexperimental dta with the accuracy of 5% and pressure waves in intake and transport pipe are well predicted. From the results of this study it can be confirmed that the shape coefficients of burned rate function should be modified using the numerical method suggested for the accurated prediction and double Wiebe function is more suitable than Wiebe func-tion for combustion analysis of large two stroke marine engine.

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$\mu$BGA 솔더접합부의 형상과 수명평가 (Optimal Shape of $\mu$BGA Solder Joints and Thermal Fatigue Life)

  • 신영의;황성진;김종민
    • 한국마이크로전자및패키징학회:학술대회논문집
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    • 한국마이크로전자및패키징학회 2002년도 춘계 기술심포지움 논문집
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    • pp.117-120
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    • 2002
  • In this paper, several methods to predict the solder joint shape are studied. Although there are various methods to predict the solder joint shape, such as truncated sphere method, force-bal tranced analytical solution, and energy-based methods like surface evolver developed by Ken Brakke, we calculate solder joint shape of $\mu$BGA by two solder joint shape prediction methods(truncated sphere method and surface evolver) and then compare results of each method. The results in dicate that two methods can accurately predict the solder joint shape in an accurate range. After that, we calculate reliability solder joint shape under thermal cycle test by FEA program ANSYS. As a result, it could be found that optimal solder joint shape calculated by solder joint prediction method has best reliability in thermal cycle test.

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일축압축강도에 미치는 암석시편의 형상효과 고찰 및 로드헤더 굴진율 예측모델 수정 (Investigation on Shape Effect of Rock Specimens to Uniaxial Compressive Strength and Modification of Performance Prediction Model of a Roadheader)

  • 김문규;이상민;조정우;최성현;엄준원
    • 터널과지하공간
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    • 제31권6호
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    • pp.440-459
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    • 2021
  • 최근 대형 로드헤더가 국내 터널현장에 도입되면서 해외 제조사의 굴진율 예측모델에 대한 관심이 증가하고 있다. 현재 주로 사용되는 해외모델은 압축강도로부터 굴진율을 예측하고 있는데, 암석 시험편의 직경 대 길이의 비율이 1.0인 시편을 일축압축시험으로 사용하고 있다. 일반적으로 시편의 형상과 치수는 강도에 영향을 미치는 것으로 알려져 있다. 본 기술보고에서는 직경 대 길이 비율에 따른 암석강도의 변화에 대한 기존 연구사례를 조사하였다. 그 형상효과에 대한 원인을 이론적으로 고찰하였다. 이를 토대로 국내 예정된 암종에 대해서 길이 비율에 따른 강도의 변화 양상을 예측하고 굴진율 수정모델을 제시하였다.