• Title/Summary/Keyword: 롤 모델

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포스코, 그룹차원 중기(中企)상생 협의체 운영

  • 포스코 흥보팀
    • Venture DIGEST
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    • s.131
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    • pp.34-35
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    • 2009
  • 대기업과 중소기업 간의 상호 협력을 통해 동반성장을 하는 상생협력이 국내 경제에 긍정적인 영향을 미치고 있다. 또한 대부분의 대기업들이 상생협력 전담팀을 구성하거나, 그룹차원의 상생협력을 주도하고 있다. 포스코는 국내 최초로 그룹차원의 중소기업 상생협력협의체를 구성하고, 지속적이고 체계적인 상생협력을 추진할 것이라고 한다. 공급사, 외주파트너사, 고객사의 목소리를 경청해 원할한 소통과 신뢰를 바탕으로 함께 성장하는 상생협력의 롤모델 역할을 할 것이다.

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A Study on the Factors that Affect Adolescents' Reading Effectiveness - represented mainly from special high School in G city (청소년의 독서유효성에 영향을 미치는 요인에 관한 연구 - G지역 특성화고를 중심으로 -)

  • Jeong, Dae-Keun;Hong, Hyun-Jin
    • Journal of Korean Library and Information Science Society
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    • v.44 no.3
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    • pp.235-259
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    • 2013
  • The purpose of this study is to find out the factors that affect adolescents' reading effectiveness. This study suggested three things as factors that influence reading effectiveness and they are an attitude towards reading, reading role models(parents, teachers, peers), a library influence(library use, library visit, library psychology). This study also examined the correlation of reading effectiveness and the influence of reading education. As results, most suggested factors made significant differences in adolescents' reading attitude and a positive attitude towards public libraries also influenced greatly in students' reading effectiveness.

A Study on the Estimation of Roll Motion in Large Scale LNG Ships (대형 LNG 선박의 롤 선체운동 추정에 관한 연구)

  • Song, Jaeyoung;Lee, Chun-Ki;Yim, Jeong-Bin
    • Journal of Navigation and Port Research
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    • v.44 no.3
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    • pp.145-150
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    • 2020
  • The ship motion of large LNG ships affects ships' safety. The purpose of this study was to estimate the transfer function of roll motion among the hull motion of 153,000 m3 class LNG vessels. The ship motion transfer function was modeled using a Linear Time-Invarient system with single input, single output, and transfer function. The transfer function of the ship motion was estimated by the system identification method using single ocean wave as input of the model, and using the roll motion of the LNG ship obtained through ANSYS as the output of the model. The usefulness of the experimental results was evaluated using the precision and estimation rate of the model for cases wherein the different transfer function dimensions. Results of the experiment showed a precision at 99% and 98%, with estimation rate at 78% and 50%. From these results, we found the proposed method of estimating the transfer function of ship motion in this study reasonable. In the future, data of ship motion in actual sea conditions will be acquired and it will be applied to make the construction of models with multiple inputs and multiple outputs for practical use.

Roll Motion Analysis of a 3 D.O.F. Planar Car Model using Instantaneous Centers (순간중심을 이용한 평면 3 자유도 자동차 모델의 롤 운동 해석)

  • Lee, Jae-Kil;Shim, Jae-Kyung
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.4
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    • pp.92-98
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    • 2006
  • In this paper, a planar car model with 3 degrees of freedom was analyzed using the concept of the roll center. To avoid ambiguity, force components which require experimental data were excluded. Only kinematic approach was used to find the position and orientation of the vehicle body and the position of the roll center. The roll center was found by the pole with infinitesimal movement and Kennedy-Aronhold theorem. Centrodes, which are the loci of instantaneous centers of planar motion, were constructed with analyzed results to show characteristics of vehicle body motion. To verify the presented analysis method in this paper, the locus of the roll center and the motion of a 3 D.O.F. planar car model were compared with those of the 1 D.O.F. model.

Design of a Robust Estimator for Vehicle Roll State for Prevention of Vehicle Rollover (차량 전복 방지를 위한 강건한 롤 상태 추정기 설계)

  • Park, Jee-In;Yi, Kyoung-Su
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.1103-1108
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    • 2007
  • This paper describes a robust model-based roll state estimator for application to the detection of impending vehicle rollover. The roll state estimator is based on a 2-D bicycle model and a roll model to estimate the maneuver-induced vehicle roll motion. The measurement signals are lateral acceleration, yaw rate, steering angle, and vehicle speed. Vehicle mass is adapted to obtain robust performance of the estimator. Computer simulation is conducted to evaluate the proposed roll state estimator by using a validated vehicle simulator. It is shown that the roll state estimator shows robust performance without exact vehicle mass information.

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An Effect of the Complexity in Vehicle Dynamic Models on the Analysis of Vehicle Dynamic Behaviors: Model Comparison and Validation (차량 모델의 복잡성이 차량동력학 해석에 미치는 영향 : 모델의 비교 및 검증)

  • 배상우;윤중락;이장무;탁태오
    • Transactions of the Korean Society of Automotive Engineers
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    • v.8 no.6
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    • pp.267-278
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    • 2000
  • Vehicle dynamic models in handing and stability analysis are divided into three groups: bicycle model, roll axis model and full vehicle model. Bicycle model is a simple linear model, which hag two wheels with load transfer being ignored. Roll axis model treats left and right wheels independently. In this model, load transfer has a great effect on nonlinearity of tire model. Effects of suspension system can be analyzed by using full vehicle model, which is included suspension stroke motions. In this paper, these models are validated and compared through comparison with road test, and the effects of suspension kinematics and compliance characteristics on vehicle motion are analyzed. In handling and stability analysis, roll axis model can simulate the real vehicle motion more accurately than full vehicle model. Compliance steer has a significant effect, but the effect of suspension kinematics is negligible.

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A digital system for apparel fabrication based on a fuzzy/multi-attribute model (퍼지-다속성 모델을 이용한 디지털 소재 기획 시스템)

  • 김주용;이지현
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.11a
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    • pp.157-159
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    • 2002
  • 패션트렌드와 소비자감성에 적합한 패션소재를 기획, 선정하는데 도움을 주는 컴퓨터 기반의 의사 결정시스템이 개발되었다. 패션소재로서의 유용성을 결정하는 속성을 두께, 무게, 밀도, 광택, 색상등으로 한정한 후 다속성 모델을 구축하였다. 각 속성들의 가중치는 의류 매장의 방문객 대상의 설문 조사에 의해 결정되었으며, 한 소재의 최조 가치는 퍼지 추론 시스템에 의해 계산되었다. 구축된 “퍼지-다속성” 모델을 이용하여 패션소재의 총 가치를 i) 품질로부터의 가치, ii) 품질을 기반으로 부가되는 가치, iii) 품질과는 무관하게 형성되는 브랜드 가치의 세가지 요소롤 분해하였다. 시중의 유명 스포츠 의류 브랜드 2종을 선정하여 위의 모델을 적용하였다. 위의 모델은 컴퓨터 시스템으로 개발되어, 특정 소재의 기본정보가 입력이 되면 그에 해당하는 감성정보로 변환되는 소재 평가 시스템과 역으로 원하는 감성 어휘를 입력하면 그에 해당하는 소재를 제안하는 소재 기획 시스템의 독립적인 두 요소로 구성된다.

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A Cooperative Swimlane Workflow Model (협동 스윔레인 워크플로우 모델)

  • 한승혁;오동근;이정훈;원재강;김형목;김광훈
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.683-685
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    • 2003
  • 차세대 전자상거래 기술로 인정되고 있는 기업간 워크플로우(Cross-Organizational Workflow)기술의 핵심인 기업간 워크플로우 모델과 그의 효율적인 운영환경을 제공하는 것은 국내외적으로 주목을 받고 있는 연구개발 분야이며. 효과적인 워크플로우 모델링 기법에 대한 필요성은 날로 증가하고 있다. 이에 본 논문에서는 각 조직에서 실제로 액티비티를 수행하는 참여자 또는 관리자들이 협업을 통한 스윔레인(Swimlane) 모델로 워크플로우 프로세스를 정의하는 방법론을 제안한다. 협동 스윔레인 워크플로우 모델에서는 비즈니스 프로세스의 각 엑티비티를 먼저 정의하고, 각 엑티비티로 구성되는 전체 글로벌 프로세스를 정의하게 되는Fragment-driven 방식의 모델을 사용한다. 또한, 프로세스 정의 시에 각 엑티비티를 수행하게 되는 조직 또는 롤의 그룹이 직접적으로 참여함으로써 보다 거대하고 복잡한 프로세스를 정의하는데 있어서 협업을 통한 효율성과 각 조직들의 독립성을 꾀한다.

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A Learning Model of Forward Slip Ratio Based on Model Identification in Hot Strip Finishing Mill Process (모델규명법에 기초한 열간 사상압연 선진율 학습모델)

  • Hwang, I Cheol;Kim, Shin Il
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.1
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    • pp.63-68
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    • 2017
  • This paper reviews the learning model of a forward slip ratio in order to improve the mass-flow stability and strip qualities in the hot strip finishing mill process. Firstly, it is shown, from mathematical analysis, that the significant parameters of the forward slip ratio are the tension, looper angle, and roll velocity. Secondly, a discrete-time learning model of the forward slip ratio is proposed from these parameters, which is identified by an instrumental variable (IV) identification algorithm. Finally, it is shown from computer simulation that the proposed learning model is more effective than the existing learning model.