• Title/Summary/Keyword: 롤 모델

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Research Capability Enhancement System Based on Prescriptive Analytics (지시적 분석 기반 역량 강화 시스템)

  • Gim, Jangwon;Jung, Hanmin;Jeong, Do-Heon;Song, Sa-Kwang;Hwang, Myunggwon
    • KIISE Transactions on Computing Practices
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    • v.21 no.1
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    • pp.46-51
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    • 2015
  • The explosive growth of data and the rapidly changing technical social evolution new analysis paradigm for predicting and reacting the future the past and present ig data. Prescriptive analysis has a fundamental difference because can support specific behaviors and results according to user's goals with defin researchers establish judgments and activities achiev the goals. However research methods not widely implemented and even the terminology, Prescriptive analysis, is still unfamiliar. This paper thus propose an infrastructure in the prescriptive analysis field with key considerations for enhancing capability of researchers through a case study based on InSciTe Advisory developed with scientific big data. InSciTe Advisory system s developed in 2013, and offers a prescriptive analytics report which contains various As-Is analysis results and To-Be analysis results 5W1H methodology. InSciTe Advisory therefore shows possibility strategy aims to reach a target role model group. Through the availability and reliability of the measurement model the evaluation results obtained relative advantage of 118.8% compared to Elsevier SciVal.

Improvement of Roll Profile Prediction Model in Hot Strip Rolling (열간압연 공정에서 롤 프로파일 예측모델 향상)

  • Chung, J.S.;You, J.;Park, H.D.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2007.05a
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    • pp.229-232
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    • 2007
  • In hot strip rolling, the work roll profile is one of the main factors in predicting and correcting the strip profile. Various studies concerning the wear profile and the thermal crown of work roll have been performed, and the results of these studies have shown that the work roll profile must be predicted accurately so as to efficiently control the strip qualities such as thickness, crown, flatness, and camber. Therefore, a precise prediction model of roll profile is called for in a perfect shape control system. In this paper, a genetic algorithm was applied to improve on the roll profile prediction model in hot strip rolling. In this approach, the optimal design problem is formulated on the basis of a numerical model so as to cover the diverse design variables and objective functions. A genetic algorithm was adopted for conducting design iteration for optimization to determine the coefficient of the numerical model for minimization of errors in the result of the calculated value and the measured data. A comparative analysis showed a satisfactory conformity between them..

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Development of a Computer Model for the Turning Maneuver Analysis of a Heavy Truck (대형 트럭의 선회 주행특성 해석을 위한 컴퓨터 모델의 개발)

  • 문일동;권혁조;오재윤
    • Transactions of the Korean Society of Automotive Engineers
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    • v.8 no.4
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    • pp.121-129
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    • 2000
  • this paper develops a computational model for the turning maneuver analysis of a cabover type heavy truck. The model having 42 degree-of-freedom is developed using ADAMS. Leaf springs used in the front and rear suspension systems are modeled by dividing it three links and joining them with joints. Force and displacement relationship showing nonlinear hysteric characteristics of the leaf spring is measured and modeled with an exponential function. A velocity and force relationship of a shock absorber is measured and modeled with a spline function. And a stabilizer bar is modeled using ADAMS beam element to consider a twisting and bending effect. To verify the developed model an actual vehicle test is performed in the double lane change course with 50kph and 60kph vehicle velocity. In the actual vehicle test lateral acceleration roll angle and yaw rate are measured, The tendency and peak-to-peak values of the actual vehicle test and simultion results are compared each other.

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Social Welfare Policies and Supporting Systems for Single Teen Mothers(never married) in the U. S. A. and Suggestions for Korean teen mothers (십대 미혼모를 위한 미국의 사회복지 체계와 서비스 그리고 한국적 활용 방안에 관한 연구)

  • Nam, Bu-Hyun
    • Journal of Agricultural Extension & Community Development
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    • v.17 no.1
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    • pp.103-135
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    • 2010
  • 미국사회는 미혼모들의 문제를 개인적 뿐만 아니라 사회적 그리고 국가적 문제로 인식하므로 이들을 위한 다양한 사회복지 정책과 서비스, 그리고 프로그램들을 제공하여 이들이 스스로 자활할 수 있는 토대를 마련하여 왔다. 특히 십대미혼모들은 학교를 중퇴하고 직업을 갖지 못하며 빈곤한 환경에서 아이를 키우기 때문에 심리적 정신적으로 불안한 상태에 있다. 이들에 대한 서비스는 국가적으로 미혼모뿐만 아니라 어린아이들까지도 돌보는 것으로 가정과 사회의 안정을 가져오며 인적자원을 잘 보존하는 것이다. 한국의 경우도 현대화/산업화된 사회로 발전하며 청소년들의 문제가 특히나 십대 미혼모의 문제가 사회적으로 이슈화되고 있다. 따라서 이 연구는 미국의 상황을 분석하고 미국의 복지 정책, 프로그램, 자원봉사자들을 이용한 서비스들을 살펴보고 한국에 적용 가능한 복지프로그램과 지원서비스를 제안하고자 한다. 미국의 미혼모를 위한 대안 학교차원의 교육/직업훈련/부모교육 등과 가족지원프로그램은 미혼모뿐만 아니라 사회와 가족이 모두 혜택을 받을 수 있는 서비스며 프로그램이므로 한국사회에 적용하면 효율적으로 미혼모들의 어려움과 사회문제를 해결 할 수 있다고 본다. 또한 자원봉사의 서비스 체계가 미혼모를 위한 사회복지 프로그램 등에 적극적으로 활용되면 미혼모들은 믿고 따를 수 있는 롤 모델을 갖게 되며 국가적으로는 인력의 활용과 자원 절약의 효과를 기대할 수 있다.

Sociocultural Factors Influencing Gender Differences in Mathematics Attitude and Achievement for Korean Students in TIMSS 2011 (사회문화적 요인들이 수학학습태도와 수학성취도의 성별차이에 미치는 영향: TIMSS 2011를 중심으로)

  • Yoo, Yang-Seok
    • The Mathematical Education
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    • v.53 no.4
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    • pp.463-478
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    • 2014
  • 우리나라 중학교 2학년 학생들은 TIMSS와 같은 국제적인 평가에서 높은 수학 성취도를 보이고 있다. 성별 성취도를 분석하면 TIMSS 1995부터 TIMSS 2011까지 남학생이 여학생보다 지속적으로 높은 평균점수를 받고 있다. TIMSS 1995와 TIMSS 2011의 성별 점수 차이는 유의한 것으로 나타났다. TIMSS 2011에 참가한 42개국 중 성차가 없거나 여학생이 더 높은 성취도를 보인 국가는 35개국이며 남학생이 더 높은 성취도를 보인 국가는 우리나라를 포함하여 7개국이다. 수학 성취도의 성차는 사회문화적 요인과 수학학습태도와 연관이 있다는 여러 연구 결과가 있다. 본 연구는 TIMSS 2011에 참가한 중2학년 5,165명 남녀학생들의 수학성취도 결과를 분석하여 사회문화적 요인이 수학학습태도와 수학성취도에 미치는 영향을 찾아보았다. 연구결과 남녀학생의 교사선호도는 유의한 성차가 없었는데 학부모의 교육 참여도에 유의한 성차가 있었다. 여학생의 수학에 관한 가치와 수학에 관한 자신감은 남학생보다 유의하게 낮았다. 학부모의 교육 참여도는 여학생의 수학학습태도와 수학성취도에 더 높은 영향력을 미치는 것으로 나타났다. 학부모들의 교육 참여도를 높이고 여학생들의 수학에 관한 가치와 자신감을 높이기 위해서는 여학생들의 롤 모델과 여성들의 과학 분야의 진출을 장려하는 사회적 요인의 조성이 함께 필요하다.

A Model for Slab Width Spread during Hot Rough Rolling Using a Profiled Edger Roll (형상 엣저 롤을 이용한 열간 조압연 공정의 슬래브 폭 퍼짐 예측 모델)

  • Lee, K.H.;Han, J.G.;Yoo, K.H.;Kim, H.J.;Kim, B.M.
    • Transactions of Materials Processing
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    • v.25 no.2
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    • pp.102-108
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    • 2016
  • The aim of the current study was to develop an advanced prediction model for the slab width spread during hot rough rolling. Rough rolling consists of both vertical rolling using a set of profiled edger rolls and horizontal rolling using a set of plain work rolls. FE-simulations were performed to investigate the influences of process variables such as initial slab width, initial thickness, sizing draft, edger roll draft and work roll draft on the final slab width variation. From a statistical analysis of the simulation results, an advanced model, which can predict the slab width spread during the edger rolling and horizontal rolling, was developed. The experimental hot rolling trials showed that the newly developed model provided fairly accurate predictions on the slab width spread during hot rough rolling process using a profiled edger rolls.

Design of an Auto-Tuning IMC-PID Controller for a Heater System Using uDEAS (uDEAS를 이용한 히터 시스템의 IMC-PID 자동 동조 제어기 설계)

  • Kim, Man-Seok;Kim, Jo-Hwan;Choi, Min-Koo;Park, Jong-Oh;Kim, Jong-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.530-535
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    • 2011
  • This paper deals with the precise temperature control of the heater used at a weaving thread or a drawn process. For precise temperature control, we suggest a design method that is auto-tuning IMC-PID controller using an optimization method uDEAS. For this method, we model the roll heater from the measurement data and we automatically tune the low pass filter value of IMC-PID controller that satisfies stability and conrol performance. Finally, we implement the designed controller using DSP kit.

Development of Prediction Model for Flexibly-reconfigurable Roll Forming based on Experimental Study (실험적 연구를 통한 비정형롤판재성형 예측 모델 개발)

  • Park, J.W.;Kil, M.G.;Yoon, J.S.;Kang, B.S.;Lee, K.
    • Transactions of Materials Processing
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    • v.26 no.6
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    • pp.341-347
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    • 2017
  • Flexibly-reconfigurable roll forming (FRRF) is a novel sheet metal forming technology conducive to produce multi-curvature surfaces by controlling strain distribution along longitudinal direction. Reconfigurable rollers could be arranged to implement a kind of punch die set. By utilizing these reconfigurable rollers, desired curved surface can be formed. In FRRF process, three-dimensional surface is formed from two-dimensional curve. Thus, it is difficult to predict the forming result. In this study, a regression analysis was suggested to construct a predictive model for a longitudinal curvature of FRRF process. To facilitate investigation, input parameters affecting the longitudinal curvature of FRRF were determined as maximum compression value, curvature radius in the transverse direction, and initial blank width. Three-factor three-level full factorial experimental design was utilized and 27 experiments using FRRF apparatus were performed to obtain sample data of the regression model. Regression analysis was carried out using experimental results as sample data. The model used for regression analysis was a quadratic nonlinear regression model. Determination factor and root mean square root error were calculated to confirm the conformity of this model. Through goodness of fit test, this regression predictive model was verified.

Application of Machine Learning to Predict Web-warping in Flexible Roll Forming Process (머신러닝을 활용한 가변 롤포밍 공정 web-warping 예측모델 개발)

  • Woo, Y.Y.;Moon, Y.H.
    • Transactions of Materials Processing
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    • v.29 no.5
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    • pp.282-289
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    • 2020
  • Flexible roll forming is an advanced sheet-metal-forming process that allows the production of parts with various cross-sections. During the flexible process, material is subjected to three-dimensional deformation such as transverse bending, inhomogeneous elongations, or contraction. Because of the effects of process variables on the quality of the roll-formed products, the approaches used to investigate the roll-forming process have been largely dependent on experience and trial- and-error methods. Web-warping is one of the major shape defects encountered in flexible roll forming. In this study, an SVR model was developed to predict the web-warping during the flexible roll forming process. In the development of the SVR model, three process parameters, namely the forming-roll speed condition, leveling-roll height, and bend angle were considered as the model inputs, and the web-warping height was used as the response variable for three blank shapes; rectangular, concave, and convex shape. MATLAB software was used to train the SVR model and optimize three hyperparameters (λ, ε, and γ). To evaluate the SVR model performance, the statistical analysis was carried out based on the three indicators: the root-mean-square error, mean absolute error, and relative root-mean-square error.

A Study on the Simulation Model Verification for Performance Estimation of Torsion Beam Axle (토션빔액슬 성능 평가를 위한 해석 모델 검증에 관한 연구)

  • Choi, Sung-Jin;Park, Jung-Won;Jeon, Kwang-Ki;Lee, Dong-Jae;Choi, Gyoo-Jae;Park, Tae-Won
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.2
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    • pp.107-113
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    • 2006
  • The torsion beam axle type is widely used in the rear suspension for small passenger cars due to low cost, good performance, etc. To develop the torsion beam axle, it is necessary to estimate the characteristics of rear suspension from the design process. The characteristics estimation of the torsion beam axle is performed using FEM, dynamic simulation and is verified the real test. In this study, the natural frequency and roll stiffness of the torsion beam axle were measured by FEM, and the reliability of the FE model was evaluated according to the comparison of test data. This study presents a unique method for the finite element modeling and analysis of the torsion beam axle. The results of the FEA were verified using test data.