• Title/Summary/Keyword: Simulator model

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Developing a Simulator of the Capture Process in Towed Fishing Gears by Chaotic Fish Behavior Model and Parallel Computing

  • Kim Yong-Hae;Ha Seok-Wun;Jun Yong-Kee
    • Fisheries and Aquatic Sciences
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    • v.7 no.3
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    • pp.163-170
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    • 2004
  • A fishing simulator for towed fishing gear was investigated in order to mimic the fish behavior in capture process and investigate fishing selectivity. A fish behavior model using a psycho-hydraulic wheel activated by stimuli is established to introduce Lorenz chaos equations and a neural network system and to generate the components of realistic fish capture processes. The fish positions within the specified gear geometry are calculated from normalized intensities of the stimuli of the fishing gear components or neighboring fish and then these are related to the sensitivities and the abilities of the fish. This study is applied to four different towed gears i.e. a bottom trawl, a midwater trawl, a two-boat seine, and an anchovy boat seine and for 17 fish species as mainly caught. The Alpha cluster computer system and Fortran MPI (Message-Passing Interface) parallel programming were used for rapid calculation and mass data processing in this chaotic behavior model. The results of the simulation can be represented as animation of fish movements in relation to fishing gear using Open-GL and C graphic programming and catch data as well as selectivity analysis. The results of this simulator mimicked closely the field studies of the same gears and can therefore be used in further study of fishing gear design, predicting selectivity and indoor training systems.

Current Industrial and Technological Trends in Satellite Simulator (위성시뮬레이터 산업기술동향)

  • Lee, Hoon-Hee;Park, Young-Woong;Park, Keun-Joo;Kim, Dae-Kwan;Lee, Sun-Ho;Yong, Ki-Lyuk
    • Current Industrial and Technological Trends in Aerospace
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    • v.9 no.1
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    • pp.110-118
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    • 2011
  • In this paper, design techniques and technological trends applied on simulator development, which are based on Model Driven Architecture, are described. The methodology, process and modeling support tools for development of simulation software are introduced with both satisfaction of user's requirements and benefit to simulator developers of reducing cost. In addition, contents in ECSS standard for reusability of simulation model and its usages applied on industries are presented and major features of current technological changes with highlights of key-word are discussed.

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A Study On Mathematical Model of Manoeuvring Motions of Twin-screw and Twin-rudder Ship for Construction of Real-time Ship-handling Simulator (시뮬레이터 구축을 위한 2축2타선박의 조종운동 수학모델에 관한 연구)

  • 손경호;김용민
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.7 no.3
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    • pp.1-16
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    • 2001
  • In view of the fact that marine casualties have more often occurred recently, there is a need for ship-handling simulator as a useful tool for maritime training, safety assessment and so on. Moreover various kinds of hull forms have appeared for the purpose of improving ship manoeuvrality. Therefore ship-handling simulator is in need of a database for various ships, and it can make diverse maneuvering simulations possible to apply respective mathematical model to ship-handling simulator. In this paper, we adopted twin-screw and twin-rudder ship and discussed mathematical model of maneuvering motions for her. It was discussed from the viewpoint of hull damping forces at low advance speed and interaction between hull, propeller and rudder. Using this model, maneuvering motion of twin-screw and twin-propeller ship was simulated numerically and her principal manoeuvrability was examined.

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A Study on the Shallow $p^+-n$ Junction Formation and the Design of Diffusion Simulator for Predicting the Annealing Results ($p^+-n$ 박막접합 형성방법과 열처리 모의 실험을 위한 시뮬레이터 개발에 관한 연구)

  • Kim, Bo-Ra;Lee, Jae-Young;Lee, Jeong-Min;Hong, Shin-Nam
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2005.07a
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    • pp.115-117
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    • 2005
  • In this paper, we formed the shallow junction by preamorphization and low energy ion implantation. And a simulator is designed for predicting the annealing process results. Especially, if considered the applicable to single step annealing process(RTA, FA) and dual step annealing process(RTA+FA, FA+RTA). In this simulation, the ion implantation model and the boron diffusion model are used. The Monte Carlo model is used for the ion implantation. Boron diffusion model is based on pair diffusion at nonequilibrium condition. And we considered that the BI-pairs lead the diffusion and the boron activation and clustering reaction. Using the boundary condition and initial condition, the diffusion equation is solved successfully. The simulator is made ofC language and reappear the experimental data successfully.

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Soft Error Rate Simulator for DRAM (DRAM 소프트 에러율 시뮬레이터)

  • Shin, Hyung-Soon
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.36D no.2
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    • pp.55-61
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    • 1999
  • A soft error rate (SER) simulator for DRAM was developed. In comparison to the other SER simulator using device simulator or Monte Carlo simulator, the proposed simulator substantially reduced the CPU time using an analytical model for the alpha-particle-induced charge collection. By analysing the soft error modes in DRAM, the bit-bar mode was identified as the main cause of soft error. Using the new SER simulator, SER of 256M DRAM was investigated and it was found that the storage capacitance had a 5fF margin.

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Development of Regression Models for Predicting Simulator Sickness in Driving Simulation (자동차 모의운전환경에서 Simulator Sickness의 예측 회귀모형 개발)

  • 김도회
    • Journal of the Korea Society for Simulation
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    • v.8 no.4
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    • pp.53-59
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    • 1999
  • This study proposed multiple linear regression models to predict those who can be easily infected simulator sickness(SS) in simulator or virtual reality environment. In this study, SSQ(Simulator Sickness Questionnaire) scores which are recently used for assessing SS, and RSSQ(Revised Simulator Sickness Questionnaire) scores are selected as dependent variables. Also ten dependent variables are used. The results are these models coefficient of determination(max $R^2=0.52$) is improved 18% more than Kolasinski's model($R^2=0.35$), and it became easy to predict with simple data. Accordingly, we can easily predict who will be apt to get into simulator sickness.

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A Study on Simulator for Testing of Digital Protective Relay (디지털 보호계전기의 시험을 위한 시뮬레이터에 관한 연구)

  • Park, Chul-Won;Shin, Myong-Chul;Ahn, Tae-Pung
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.55 no.4
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    • pp.183-189
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    • 2006
  • In this work, the digital simulator for testing of digital protective relay is presented. The proposed simulator software has EMTP simulation data file conversion, sequence waveform generation, user define simulation data generation, communication engine, data analysis engine and measurements function etc. The simulator hardware is designed using 32bit floating point DSP architecture to achieve flexibility and high speed operation. This simulator is tested to evaluate the performance of relay simulator by using a output data of simulation model on EMTP.

On a Ship Manoeuvring Simulator Newly Developed by Korea Maritime University

  • Sohn, Kyoung-Ho;Kim, Jin-Kook;Yang, Seung-Yeul
    • Proceedings of KOSOMES biannual meeting
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    • 2002.10a
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    • pp.111-124
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    • 2002
  • Ship manoeuvring simulator has been widely utilized for training mariners, for assessing safety, for developing harbour and port, and for designing ships. We discuss a ship manoeuvring simulator which has been newly developed by Korea Maritime University. The simulator consists of simulator bridge and control console. All the computers used in the simulator are connected with one another by UDP or TCP network system. All the instruments are connected with interface computer by signal line which is controlled by RS232 communication protocol, or by voltage controlled A/D board. Next the mathematical model of ship manoeuvring motion in harbour areas, and ship and terrain modeling technique are also briefly discussed. Finally using the simulator an experiment of distance cognition and a simulation example of berthing/deberthing manoeuvre are shown.

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A Study on the Development of Drum-Type Boiler Simulator for Thermal Power Plant Using the Signal Flow Diagram Model (신호흐름도 모델을 이용한 화력 발전소 드럼형 보일러 시뮬레이터의 개발에 관한 연구)

  • ;;;Zeungnam Bien
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.39 no.12
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    • pp.1269-1280
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    • 1990
  • Owing to the need to accommodate the load variation, thermal power plants need a modern controller in order to achieve better frequency regulation, faster response and higher efficiency. For a successful development of the digital instrumentation and control system that can adopt advanced control algorithms, power plant simulator must be available for safe and convenient test. In this paper, a simple drum-type boiler model is proposed using Signal Flow Diagram that describes the system by a combination of basic time responses representing the relationships between cause and effect process variables. After verifying the model and thereafter building a simulator based on the proposed model, we tested the operation of the controller and stability or efficiency of the implemented control algorithms.

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A study on the development of drum-type boiler simulator using the signal-flow diagram model (신호 흐름도 모델을 이용한 드럼형 보일러 시뮬레이터의 개발에 관한 연구)

  • 김재선;황동환;김병국;변증남
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.194-199
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    • 1990
  • Because of being operated to accomodate the load variation, fossile power plants need modern controller to satisfy frequency regulation, fast response and efficiency requirement. But in the way of developing the Digital Instrumentation and Control System that can adopt advanced control algorithms, power plant simulator must be available for safe and convenient test. In this paper, a simple drum-type boiler model is proposed, using Signal Flow Diagram that describes the system by a collection of basic time response representing the relationship between process variables. After verifying the model and thereafter building simulator based on the proposed model, we test the operation of controller and approve stability or efficiency of implemented control algorithms.

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