• 제목/요약/키워드: computational-platform

검색결과 316건 처리시간 0.025초

중소·중견기업을 위한 사용자 친화형 웹 기반 ezSIM 플랫폼 개발 (User-friendly Web-based ezSIM Platform Development for SMBs)

  • 윤태호;박형욱;손일엽;황재순;서동우
    • 한국CDE학회논문집
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    • 제20권1호
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    • pp.65-74
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    • 2015
  • Structure and/or fluid analysis is gradually increased by an essential design process in the small and medium-sized businesses (SMBs) because of the needs for a rapid design process and the certification about the supplement of the parts by the large business (LB). In this paper, we developed the web-based ezSIM platform installed in the resources integrated system server. The ezSIM platform is based on the heterogeneous linux and windows operating system for the user-friendly connection with the part of the analysis for the SMBs. The procedure of the structure/fluid analysis service module using the public software and the license-free open code in the ezSIM platform was explained. The convenience of the ezSIM platform service was presented by the reaction rate of the graphic motion compared with that of a local PC and the solving and pre-post processing interface compared with that of the KISTI supercomputer. The web-based ezSIM platform service was identified as a useful and essential platform to the SMBs for the usage of the structure and/or fluid analysis procedure.

ISO 15926 기반 공정 플랜트 3D 설계 정보 통합 플랫폼의 개발 (Development of an ISO 15926-based Integration Platform of 3D Design Data for Process Plants)

  • 김병철;박상진;김봉철;명세현;문두환
    • 한국CDE학회논문집
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    • 제20권4호
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    • pp.385-400
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    • 2015
  • ISO 15926 is an international standard for the integration and sharing of plant lifecycle data. Plant 3D design data typically consist of logical configuration, equipment specifications and ports, and 3D shape data. This paper presents the method for the ISO 15926-based integration of plant 3D design data. For this, reference data (class, attribute, and template) of ISO 15926 were extended to describe plant 3D design data. In addition to the data model extension, a plant design information integration platform which reads plant 3D design data in ISO 15926 and displays 3D design information was developed. Finally, the prototype platform is verified through the experiment of loading and retrieving plant 3D design data in ISO 15926 with the platform.

수중 운동체의 거동 및 표면 압력하중 예측에 관한 수치적 연구 (A Computational Study About Behavior of an Underwater Projectile and Prediction of Surficial Pressure Loading)

  • 조성민;권오준
    • 한국군사과학기술학회지
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    • 제20권3호
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    • pp.405-412
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    • 2017
  • In the present study, two phase flows around a projectile vertically launched from an underwater platform have been numerically investigated by using a three dimensional multi-phase RANS flow solver based on pseudo-compressibility and a homogeneous mixture model on unstructured meshes. The relative motion between the platform and projectile was described by six degrees of freedom(6DOF) equations of motion with Euler angles and a chimera technique. The propulsive power of the projectile was modeled as the fluid force acting on the lower surface of the body by the compressed air emitted from the platform. Qualitative analysis was conducted for the time history of vapor volume fraction distributions. Uncorking pressure around the projectile and platform was analyzed to predict impact force acting on the surfaces. The results of 6DOF analysis presented similar tendency with the surficial pressure distributions.

지하철 승강장 열차풍 특성 분석 (Train Wind Analysis of Subway Platforms)

  • 배성준;황선호;신창헌;김신도;이경빈;박덕신
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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    • pp.100-106
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    • 2011
  • PSD(platform screen door) was completely installed at all of Seoul subway station(line 1~8) using 640million people per day by 2010. After installation of PSD, the influence of train induced wind at platform decreased, but is estimated to increase in subway tunnel. In this paper, train induced wind occurred by pass of subway at platform was measured and analyzed using numerical analysis by computational fluid dynamics.

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스튜어트 플랫폼형 범용 수동조작기의 설계연구 (On the design of a stewart platform-based universal hand-controller)

  • 김상범;최용제
    • 대한기계학회논문집
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    • 제19권1호
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    • pp.150-160
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    • 1995
  • The practical design and construction of a Stewart Platform-based unilateral universal hand-controller is presented. It is also presented that such a design concept could be implemented by developing a technical method of determining the forward kinematics of a Stewart Platform in real time. In this work, the forward kinematics of a Stewart Platform has been determined in real time using three additional displacement sensors which eliminate the computational burden of solving the forward kinematics described in nonlinear simultaneous equations. The workspace of the Stewart Platform via inverse kinematics has been analyzed numerically and used as a design guide for the determination of the mechanism dimensions such as the sizes of the upper and base platforms and the minimum and maximum lengths of the legs. The hardware of the hand-controller has been constructed and tested to demonstrate the feasibility of the design concept.

New Formulation Method for Reducing the Direct Kinematic Complexity of the 3-6 Stewart-Gough Platform

  • Song, Se-Kyong;Kwon, Dong-Soo
    • Transactions on Control, Automation and Systems Engineering
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    • 제4권2호
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    • pp.156-163
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    • 2002
  • This paper presents a new formulation to simplify the three resulting constraint equations of the direct kinematics of the 3-6 (Stewart-Gough) Platform. The conventional direct kinematics of the 3-6 Platform has been formulated through complicated steps with trigonometric functions in three angle variables and thus results in the computational burden. In order to reduce the formulation complexity, we replace an angle variable into a length one and express three connecting joints on the moving platform in the same frame. The proposed formulation yields considerable abbreviation of the number of the calculation terms involved in the direct kinematics. It is verified through a series of simulation results.

Big data platform for health monitoring systems of multiple bridges

  • Wang, Manya;Ding, Youliang;Wan, Chunfeng;Zhao, Hanwei
    • Structural Monitoring and Maintenance
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    • 제7권4호
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    • pp.345-365
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    • 2020
  • At present, many machine leaning and data mining methods are used for analyzing and predicting structural response characteristics. However, the platform that combines big data analysis methods with online and offline analysis modules has not been used in actual projects. This work is dedicated to developing a multifunctional Hadoop-Spark big data platform for bridges to monitor and evaluate the serviceability based on structural health monitoring system. It realizes rapid processing, analysis and storage of collected health monitoring data. The platform contains offline computing and online analysis modules, using Hadoop-Spark environment. Hadoop provides the overall framework and storage subsystem for big data platform, while Spark is used for online computing. Finally, the big data Hadoop-Spark platform computational performance is verified through several actual analysis tasks. Experiments show the Hadoop-Spark big data platform has good fault tolerance, scalability and online analysis performance. It can meet the daily analysis requirements of 5s/time for one bridge and 40s/time for 100 bridges.

Real-time Multi-device Control System Implementation for Natural User Interactive Platform

  • 김명진;황태민;채승훈;김민준;문연국;김승준
    • 인터넷정보학회논문지
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    • 제23권1호
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    • pp.19-29
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    • 2022
  • Natural user interface (NUI) is used for the natural motion interface without using a specific device or tool like a mouse, keyboards, and pens. Recently, as non-contact sensor-based interaction technologies for recognizing human motion, gestures, voice, and gaze have been actively studied, an environment has been prepared that can provide more diverse contents based on various interaction methods compared to existing methods. However, as the number of sensors device is rapidly increasing, the system using a lot of sensors can suffer from a lack of computational resources. To address this problem, we proposed a real-time multi-device control system for natural interactive platform. In the proposed system, we classified two types of devices as the HC devices such as high-end commercial sensor and the LC devices such astraditional monitoring sensor with low-cost. we adopt each device manager to control efficiently. we demonstrate a proposed system works properly with user behavior such as gestures, motions, gazes, and voices.

지하역사 승강장 및 대합실 평상시 비상시 급·배기 환기 Large Eddy Simulation (LARGE EDDY SIMULATION OF ORDINARY & EMERGENCY VENTILATION FLOW IN UNDERGROUND SUBWAY STATION)

  • 장용준;류지민;박덕신
    • 한국전산유체공학회지
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    • 제18권3호
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    • pp.72-78
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    • 2013
  • The turbulent flow behavior of air supply and exhaustion in the Shin-gum-ho subway station is analyzed for ordinary and emergency state. The depth of Shin-gum-ho station is 43.6m which consists of the island-type platform(8th floor in underground) and a two-story lobby (first & second floor in underground). An emergency stairway connects between the platform and the lobby. Ventilation operation mode for ordinary state is set up as a combination of air supply and exhaustion in the lobby and platform, while for emergency state it is set up as a full air supply in the lobby and a full exhaustion in the platform. The entire station is covered for simulation. The ventilation diffusers are modeled as 95 square shapes of $0.6m{\times}0.6m$ in the lobby and as 222 square shapes of $0.6m{\times}0.6m$ and 4 rectangular shapes of $1.2m{\times}0.8m$ in the platform. The total of 7.5million grids are generated and whole domain is divided to 22 blocks for MPI efficiency of calculation. Large eddy simulation(LES) is applied to solve the momentum equation and Smagorinsky model($C_s$=0.2) is used as SGS(subgrid scale) model. The time-averaged velocity fields are compared to experimental data and show a good agreement with it.

KISTI-ML 플랫폼: 과학기술 데이터를 위한 커뮤니티 기반 AI 모델 개발 도구 (KISTI-ML Platform: A Community-based Rapid AI Model Development Tool for Scientific Data)

  • 이정철;안선일
    • 인터넷정보학회논문지
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    • 제20권6호
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    • pp.73-84
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    • 2019
  • 최근 서비스로서의 머신러닝(MLaaS) 개념은 데이터 자체를 제외하고 네트워크 서버, 스토리지 또는 데이터 과학자 없이도 생산적인 서비스 모델을 구축할 수 있다는 점에서 기계학습을 다루는 대부분의 산업 분야와 연구 그룹들의 많은 관심을 받고 있다. 그러나 과학 분야에서는 양질의 빅데이터를 확보하는 가정 자체가 커다란 도전이 된다. 즉, 연구자 간 연구 결과물의 공유가 쉽지 않을 뿐 아니라 과학기술 데이터의 비정형성 문제를 해결해야하는 문제가 선행된다. 본 논문에서 제안된 KISTI-ML 플랫폼은 과학기술 데이터를 위한 AI 모델 고속 개발 도구로서, 머신러닝에 익숙하지 않은 연구자들을 위해 웹 기반 GUI 인터페이스를 제공하고 연구자는 자신의 데이터를 이용하여 머신러닝 코드를 손쉽게 생성하고 구동할 수 있다. 또한 승인된 커뮤니티 멤버들을 중심으로 데이터셋 및 특징 추출에 사용되는 데이터전처리, 학습 네트워크 설계 등이 포함되는 프로그래밍 코드를 공유할 수 있는 환경을 제공한다.