• 제목/요약/키워드: Standard Dynamic Model

검색결과 380건 처리시간 0.028초

고속열차 팬터그래프 동특성 측정 및 동역학 해석을 통한 최적 전차선 장력 예측 (Prediction of Optimal Catenary Tension by Dynamic Characteristic Measurement and Dynamic Analysis of Pantograph in High-Speed Train)

  • 오혁근;유근준;박태원
    • 한국산학기술학회논문지
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    • 제19권11호
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    • pp.350-356
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    • 2018
  • 팬터그래프(Pantograph)와 전차선간의 동적 상호작용인 접촉력(contact force)은 차량에 대한 안정적 전원공급 특성인 집전성능을 평가하는 중요한 지표이다. 본 연구에서는 동력분산형 고속열차 시험차량인 HEMU-430X(High-speed Electric Multiple Unit - 430km/h eXperiment) 차량의 팬터그래프 동적 접촉력 특성을 전차선 장력에 따라 분석하였고, 이를 팬터그래프-전차선 동적 상호작용 모델을 이용한 해석결과와 비교하였다. 시험결과와 해석결과를 비교한 결과, 주요 동적접촉력 특성인 평균접촉력 및 접촉력 표준편차가 비교적 잘 일치하는 것을 확인하였다. 또한 해석모델을 이용하여 전차선 장력과 접촉력과의 상관관계를 차량 운행속도에 따라 제시하였으며, 이를 이용하여 각 운영속도별 최적 전차선 장력을 제시하였고 이를 국제규격과 비교하였다. 그 결과 해석을 통해 도출된 결과와 국제 규격에서 권장하는 전차선 장력이 비교적 잘 일치하는 것을 알 수 있었다.

Product data model for PLM system

  • Li, Yumei;Wan, Li;Xiong, Tifan
    • International Journal of CAD/CAM
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    • 제11권1호
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    • pp.1-10
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    • 2011
  • Product lifecycle management (PLM) is a new business strategy for enterprise's product R&D. A PLM system holds and maintaining the integrity of the product data produced throughout its entire lifecycle. There is, therefore, a need to build a safe and effective product data model to support PLM system. The paper proposes a domain-based product data model for PLM. The domain modeling method is introduced, including the domain concept and its defining standard along the product evolution process. The product data model in every domain is explained, and the mapping rules among these models are discussed. Mapped successively among these models, product data can be successfully realized the dynamic evolution and the historical traceability in PLM system.

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원자력 규제정책에 대한 국민신뢰도 평가 SD모델 연구 (System Dynamic Model Study of Public Trust on Nuclear Regulation Policy)

  • 곽미애;차현주;김성현;정관용
    • 한국시스템다이내믹스연구
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    • 제16권1호
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    • pp.53-74
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    • 2015
  • The purpose of this paper is to simulate public trust on nuclear regulation policy. The first of all, public trust variables and the model were developed and analysed by system dynamic method. The model are consisted of the operator safety culture level, regulatory competence levels, the public satisfaction and public trust level. The scenario is made up three type which base scenario, the system operator's safety culture level and accident event level. First. the simulation results of standard scenario shows that rapidly declining public satisfaction and trust level of the national safety after Japan's nuclear accident in November 2011. Second, operator safety culture level and simulated divided into three levels. The results showed that a greater impact on the public satisfaction if bad than good case. Finally, the size of the accident was simulated divided into three levels levels(no accident, medium, serious accidents). the results showed a weak effect against the regulatory capacity and safety performance levels but showed a significant impact on public satisfaction and confidence level.

치유환경을 위한 광선반 부착방법에 따른 노인요양시설 침실 내 자연채광 유입 환경 연구 - 기상데이터 기반 동적 자연채광 시뮬레이션을 기반으로 - (A study on Daylighting inducement within bedroom of Elderly care facility by light shelf attaching method for Therapeutic environment - By Dynamic Daylight Simulation Using Weather Data -)

  • 조주영;이기호;윤영일;이효원
    • KIEAE Journal
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    • 제11권6호
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    • pp.71-79
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    • 2011
  • There are high recognitions on the importance of comforts in Elderly living environment, but the circumstance is that studies on seniors facility space itself are approached only in planning level, and studies on lighting environment which is significantly associated with the comfort in the indoor environment of seniors where they actually spend the majority of their time are not that active. This study was intended to deduce cozy bedroom environment to which existing elderly care facility can be improved by using light shelf the lighting system with the advantage of being able to serve both as building sun visor and lighting window simultaneously in order to analyze the interior environment of bedroom space of elderly care facility the indoor space where the aged spend the majority of their life and examine the directions for the improvement of existing building lighting system through remodeling and renovation. In this study, lighting performance analysis was done in a way that the windows of the bedroom unit in existing facility were set in southbound direction based on two standard types and were put under initial simulation with the use of Autodesk Revit 2011, and after the simulation results were converted to Green Building Studio gbXML file to be used in ECOTECT, Daylight Autonomy a dynamic simulation and static natural lighting simulation the existing method of calculating daylight factors were deduced through Ecotect Analysis 2011. In conclusion, exiting standard model was found in such a condition that the daylight factors for both type A and type B were above 5% the proper standard value, and required improvement. In case light shelf the natural lighting system was attached, the daylight factor was improved to proper standard value for type A, and also was improved above existing facility for type B.

몰수체 모형 시험 해석을 위한 운동방정식의 구조 선택 및 계수 식별 결합법 (The Combined Method of Structure Selection and Parameter Identification of Equations of Motion to Analyze the Model Tests of a Submerged Body)

  • 김찬기
    • 대한조선학회논문집
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    • 제35권2호
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    • pp.20-28
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    • 1998
  • 몰수체의 운동을 정확하게 예측하기 위해서는 동적 모형의 비선형 구조를 선택하고, 이에 해당하는 조종계수를 모형 시험을 통해 추정하여야 한다. 모형 구조가 주어지면 조종계수들의 값만이 미지수가 되어 추정은 표준 최소 자승 문제로 정식화될 수 있다. 불행하게도 몰수체들의 비선형모형 구조는 거의 알려지지 않고 있다. 따라서, 모형 시험에서 측정된 자료들로부터 운동 방정식의 구조를 결정하는 방법을 개발하여 계수 추정 절차에 중요한 한 부분으로 포함시켜야 한다. 본 연구에서는 모형 시험 결과 해석을 위해 널리 사용되고 있는 최소 자승 알고리즘과 그 성능평가법에 대해 살펴보고, Gram-Schmidt에 의한 직교 분리법에 기초를 둔 계수 식별 알고리즘을 매우 단순하고 효과적으로 구조 선택법과 계수 추정법을 결합할 수 있도록 확장하였다. 마지막으로 시뮬레이션과 실제 몰수체에 대한 모형 시험 자료로의 적용을 통해 이 기법의 성능을 검증하였다. 결론적으로 본 연구의 방법은 모형 시험 결과로부터 효율적으로 운동 방정식의 구조를 식별하고 조종 계수를 추정함을 확인하였다.

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Machine learning-based prediction of wind forces on CAARC standard tall buildings

  • Yi Li;Jie-Ting Yin;Fu-Bin Chen;Qiu-Sheng Li
    • Wind and Structures
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    • 제36권6호
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    • pp.355-366
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    • 2023
  • Although machine learning (ML) techniques have been widely used in various fields of engineering practice, their applications in the field of wind engineering are still at the initial stage. In order to evaluate the feasibility of machine learning algorithms for prediction of wind loads on high-rise buildings, this study took the exposure category type, wind direction and the height of local wind force as the input features and adopted four different machine learning algorithms including k-nearest neighbor (KNN), support vector machine (SVM), gradient boosting regression tree (GBRT) and extreme gradient (XG) boosting to predict wind force coefficients of CAARC standard tall building model. All the hyper-parameters of four ML algorithms are optimized by tree-structured Parzen estimator (TPE). The result shows that mean drag force coefficients and RMS lift force coefficients can be well predicted by the GBRT algorithm model while the RMS drag force coefficients can be forecasted preferably by the XG boosting algorithm model. The proposed machine learning based algorithms for wind loads prediction can be an alternative of traditional wind tunnel tests and computational fluid dynamic simulations.

The System Performance of Wireless CSMA/CA Protocol with Capture Effect

  • Dai, Jiang-Whai
    • Journal of Communications and Networks
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    • 제6권3호
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    • pp.226-234
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    • 2004
  • This work presents a deterministic channel that rules according to inverse a power propagation law. The proposed channel model allows us to derive the lower bound and upper bound of packet's capture probability in Rayleigh fading and shadowing cellular mobile system. According to these capture probabilities, we analyze the system performance in the case of finite stations and finite communicated coverage of a base station. We also adopted a dynamic backoff window size to discuss the robustness of IEEE 802.11 draft standard. Some suggestions and conclusions from numerical results are given to establish the more strong CSMA/CA protocol.

Dynamic Incomplete Information Game을 이용한 선도기업과 추종기업 간의 표준화 경쟁과 전략 분석 (The Analysis on Standardization Competition between a Leader and a Follower and their strategies through Dynamic Incomplete Information Game)

  • 박웅;곽용원;민재홍
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2003년도 춘계종합학술대회
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    • pp.804-807
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    • 2003
  • 최근 정보통신 산업에서 일어나고 있는 기술 및 제품 경쟁은 표준화 경쟁이라고 해도 과언이 아닐 정도로 표준 획득은 시장을 선점하기 위하여 핵심 요소로 정보통신기술 변화의 흐름은 표준화를 지향하고 있다. 더욱이 WTO TBT(Technical Barries to Trade)의 발효는 범세계적으로 하나의 표준을 지향해 나아감에 따라 국제표준(Global Standards)의 중요성은 크게 증대되고 있다. 이에 기업은 물론 각 국가는 표준을 핵심 전략으로 인식하고, 다양한 전략적 접근을 통하여 시장선점 나아가 표준획득을 위해 치열한 경쟁을 하고 있다. 본 고에서는 게임이론 중 상대 경기자의 유형(type)을 알 수 없는 동적 불비정보게임(Dynamic Incomplete Information Game)을 이용하여, 정보통신 산업 내 먼저 네트워크를 형성한 선도기업과 이에 대하여 선도기업의 기술과의 호환을 추구하고자 진입한 추종기업간의 경쟁을 분석하고, 이를 통하여 선도기업과 추종기업 간 표준화 경쟁에 있어서 최선의 경쟁 전략을 분석해 보고자 한다.

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EnergyPlus에 적용된 Simple Window Model의 한계와 개선에 관한 연구 (A Study on the Limitation and Improvement of Simple Window Model applied to EnergyPlus)

  • 김태호;고성호
    • 설비공학논문집
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    • 제29권10호
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    • pp.515-529
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    • 2017
  • EnergyPlus, which is widely used in various fields, provides Simple Window Model, a window model that can be used practically. However, the results of building load using the model are different from those of the standard model. The main cause of the deviation by Simple Window Model was analyzed to be due to the assumption that all windows were considered as single layer. The purpose of this study is to propose a window model that improves the cause of deviation by Simple Window Model and can be easily calculated from the algebraic relations. The proposed window model solved the heat balance equation algebraically by using seven window characteristic coefficients. The coefficient relationships consisted of the heat transmission coefficient and solar heat gain coefficient as input parameters make practical use and calculation possible. As a result of comparing the deviation between each window model by implementing the dynamic analysis method, the proposed window model showed that the deviation of the total heating/cooling energy consumption was reduced to 1/3 compared to Simple Window Model for one year. Although the maximum energy consumption did not show any significant improvement, the indoor temperature evaluation showed significantly reduced deviation.

Development of Real time Air Quality Prediction System

  • Oh, Jai-Ho;Kim, Tae-Kook;Park, Hung-Mok;Kim, Young-Tae
    • 한국환경과학회:학술대회논문집
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    • 한국환경과학회 2003년도 International Symposium on Clean Environment
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    • pp.73-78
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    • 2003
  • In this research, we implement Realtime Air Diffusion Prediction System which is a parallel Fortran model running on distributed-memory parallel computers. The system is designed for air diffusion simulations with four-dimensional data assimilation. For regional air quality forecasting a series of dynamic downscaling technique is adopted using the NCAR/Penn. State MM5 model which is an atmospheric model. The realtime initial data have been provided daily from the KMA (Korean Meteorological Administration) global spectral model output. It takes huge resources of computation to get 24 hour air quality forecast with this four step dynamic downscaling (27km, 9km, 3km, and lkm). Parallel implementation of the realtime system is imperative to achieve increased throughput since the realtime system have to be performed which correct timing behavior and the sequential code requires a large amount of CPU time for typical simulations. The parallel system uses MPI (Message Passing Interface), a standard library to support high-level routines for message passing. We validate the parallel model by comparing it with the sequential model. For realtime running, we implement a cluster computer which is a distributed-memory parallel computer that links high-performance PCs with high-speed interconnection networks. We use 32 2-CPU nodes and a Myrinet network for the cluster. Since cluster computers more cost effective than conventional distributed parallel computers, we can build a dedicated realtime computer. The system also includes web based Gill (Graphic User Interface) for convenient system management and performance monitoring so that end-users can restart the system easily when the system faults. Performance of the parallel model is analyzed by comparing its execution time with the sequential model, and by calculating communication overhead and load imbalance, which are common problems in parallel processing. Performance analysis is carried out on our cluster which has 32 2-CPU nodes.

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