• Title/Summary/Keyword: Simulation Based Acquisition

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Investigation of Dual-Spin Turn and Attitude Acquisition of Satellite (위성의 Dual-Spin Turn 방법 분석 및 자세획득)

  • Seo, Hyeon-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.2
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    • pp.36-47
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    • 2006
  • The process of dual spin turn maneuver is introduced for attitude acquisition or recovery from flat spin state of a satellite. The physical principle of momentum transfer during dual spin turn is explained clearly. The case studies of special dual spin turn, in addition to the conventional dual spin turn, that are known as an acceptable cases, are performed to investigate the principle of dual spin turn and to provide a physical insight as well as the solution of dual spin turn. This study is done based on case-study simulation, which includes two-state control scheme composed of open-loop maneuver and energy dissipation device. Furthermore, we investigate the stability for the verification of all control cases after implementing two-stage control. We also provide the simulation scenario of flat spin recovery using dual spin turn method as an example.

Logical Modeling of Base System Model for Tank Engagement Simulation (전차 교전 시뮬레이션을 위한 기본체계모델의 논리 모델링 방법)

  • Lee, Sunju
    • Journal of the Korea Society for Simulation
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    • v.29 no.2
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    • pp.63-72
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    • 2020
  • Tank, which is a representative ground weapon system, is one of the most important weapon systems in each country. For the cost-effective acquisition of a tank based on scientific analysis, the operational concept and effectiveness should be studied based on engagement simulation technology. Besides physical capabilities including maneuver and communication, logical models including decision-making of a tank commander should be developed systematically. This paper describes a method to model a tank for engagement simulation based on Base System Model(BSM), which is the standard architecture of the weapon system model in AddSIM, an integrated engagement simulation software. In particular, a method is proposed to develop logical models by hierarchical and modular approach based on human decision-making model. The proposed method applies a mathematical formalism called DEVS(Discrete EVent system Specification) formalism. It is expected that the proposed method is widely used to study the operational concept and analyze the effectiveness of tanks in the Korean military in the future.

Adaptive Partition-Based Address Allocation Protocol in Mobile Ad Hoc Networks

  • Kim, Ki-Il;Peng, Bai;Kim, Kyong-Hoon
    • Journal of information and communication convergence engineering
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    • v.7 no.2
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    • pp.141-147
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    • 2009
  • To initialize and maintain self-organizing networks such as mobile ad hoc networks, address allocation protocol is essentially required. However, centralized approaches that pervasively used in traditional networks are not recommended in this kind of networks since they cannot handle with mobility efficiently. In addition, previous distributed approaches suffer from inefficiency with control overhead caused by duplicated address detection and management of available address pool. In this paper, we propose a new dynamic address allocation scheme, which is based on adaptive partition. An available address is managed in distributed way by multiple agents and partitioned adaptively according to current network environments. Finally, simulation results reveal that a proposed scheme is superior to previous approach in term of address acquisition delay under diverse simulation scenarios.

Design of a knowledge-based controller for job scheduling in assembly (조립 작업에서의 생산계획 수립을 위한 지식베이스형 제어기의 설계)

  • 김성수;서기성;우광방
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.514-518
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    • 1990
  • This paper describes an experimental Knowledge-Based Control System, named KBCS, for manufacturing and assembly. The KBCS of five parts and function : data-base, knowledge acquisition, optimization, and graphic monitoring. The KBCS is utilized for a FMS which is of five machine centers and automatic assembly lines. Each machine can perform almost all manufacturing functions which some difference in efficiency. Buffers store temporarily the incoming components and the outing components. Parts arrive at assembly lines after many steps of manufacturing, and the transfer path and time are determined by procedural knowledge of control systems. Nine different incoming components are set up. The total control system is expected to perform four algorithms, timing algorithm ,sequencing algorithm, penalty algorithm, and cart algorithm. The construction of controller require basic components of manufacturing systems in which knowledges are formulated on the base of the results and the repeated simulation of KBCS with graphic monitoring system. Simulation results by KBCS are compared with those by the other rules of manufacturing.

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Recognition of Road Direction for Magnetic Sensor Based Autonomous Vehicle (자기센서 기반 자율주행차량의 도로방향 인식)

  • 유영재;김의선;김명준;임영철
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.9
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    • pp.526-532
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    • 2003
  • This paper describes a recognition method of a road direction for an autonomous vehicle based on magnetic sensors. Using the sensors mounted on a vehicle and the magnetic markers embedded along the center of road, the autonomous vehicle can recognize a road direction and control a steering angle. Using the front lateral deviation of a vehicle and the rear one, the road direction is calculated. The analysis of magnetic field, the acquisition technique of training data, the training method of neural network and the computer simulation are presented. According to the computer simulation, the proposed method is simulated, and its performance is verified. Also, the experimental test is confirmed its reliability.

A Study on the process and frameworks Supporting Simulation-based Naval-ship design and information management (시뮬레이션 기반 함정 설계와 정보 관리를 위한 프로세스 및 프레임워크 연구)

  • Lee, Hye-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.522-525
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    • 2011
  • 지금까지 제조업에서는 CAx(CAD, CAE, CAM) 시스템을 중심으로 설계와 생산의 효율성 증대를 이뤄왔다. 최근에는 제품을 중심으로 PLM(Product Lifecycle Management), 디지털 메뉴팩처링(Digital Manufacturing) 등의 개념을 도임하고 있으며, 이를 기반으로 설계와 생산의 효율성 증대뿐만 아니라, 디지털 제품을 중심으로 하는 제품 개발환경 구축을 통해 제조업의 불변과제 해결과 경쟁력 확보를 위해 노력하고 있다. 본 논문에서는 함정 설계와 정보 관리를 위한 프로세스 및 프레임워크 연구를 수행한다. 그리고 함정획득에 SBA 개념을 적용하기 위한 인프라스트럭쳐에 대해 연구를 수행한다. 객체 지향 개발방법론의 요구사항 분석법에 기반을 둔 SBA(Simulation-Based Acquisition) 프레임워크 정의 방법론을 정립하고 이를 바탕으로 3 차원 함정제품모델 중심의 획득업무 분석을 통해 SBA-NS 아키텍처와 함정제품정보(NSPI : Naval Ship Product Information) 참조모델을 정의하고자 한다.

Performance Simulation of the Data Transmissions and Network Protocols for Railway Signalling (철도용 정보전송 및 네트워크 프로토콜 성능 시뮬레이션)

  • Kang, Moon-Ho;Lee, Jae-Ho;Hwang, Jong-Gyu
    • Proceedings of the KIEE Conference
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    • 2004.07d
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    • pp.2562-2564
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    • 2004
  • This paper addresses a simulation for the Ethernet based data transmission between the CIC(Centralized Traffic Control System) and the SCADA(Supervisory Control and Data Acquisition) system. Fame error rate and throughput are calculated and compared for the two cases that the CTC/SCADA has an extra error control scheme besides the internal CRC32 of the Ethernet and that no extra error control has been done. Simulation program is constructed with the Matlab and the Matlab GUI and then converted into a stand-alone $c^{++}$ program to be used on any non-Matlab environments.

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Drone Simulation Technologies (드론 시뮬레이션 기술)

  • Lee, S.J.;Yang, J.G.;Lee, B.S.
    • Electronics and Telecommunications Trends
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    • v.35 no.4
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    • pp.81-90
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    • 2020
  • The use of machine learning technologies such as deep and reinforcement learning has proliferated in various domains with the advancement of deep neural network studies. To make the learning successful, both big data acquisition and fast processing are required. However, for some physical world applications such as autonomous drone flight, it is difficult to achieve efficient learning because learning with a premature A.I. is dangerous, cost-ineffective, and time-consuming. To solve these problems, simulation-based approaches can be considered. In this study, we analyze recent trends in drone simulation technologies and compare their features. Subsequently, we introduce Octopus, which is a highly precise and scalable drone simulator being developed by ETRI.

Current status of simulation training in plastic surgery residency programs: A review

  • Thomson, Jennifer E.;Poudrier, Grace;Stranix, John T.;Motosko, Catherine C.;Hazen, Alexes
    • Archives of Plastic Surgery
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    • v.45 no.5
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    • pp.395-402
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    • 2018
  • Increased emphasis on competency-based learning modules and widespread departure from traditional models of Halstedian apprenticeship have made surgical simulation an increasingly appealing component of medical education. Surgical simulators are available in numerous modalities, including virtual, synthetic, animal, and non-living models. The ideal surgical simulator would facilitate the acquisition and refinement of surgical skills prior to clinical application, by mimicking the size, color, texture, recoil, and environment of the operating room. Simulation training has proven helpful for advancing specific surgical skills and techniques, aiding in early and late resident learning curves. In this review, the current applications and potential benefits of incorporating simulation-based surgical training into residency curriculum are explored in depth, specifically in the context of plastic surgery. Despite the prevalence of simulation-based training models, there is a paucity of research on integration into resident programs. Current curriculums emphasize the ability to identify anatomical landmarks and procedural steps through virtual simulation. Although transfer of these skills to the operating room is promising, careful attention must be paid to mastery versus memorization. In the authors' opinions, curriculums should involve step-wise employment of diverse models in different stages of training to assess milestones. To date, the simulation of tactile experience that is reminiscent of real-time clinical scenarios remains challenging, and a sophisticated model has yet to be established.

Road-friendliness of Fuzzy Hybrid Control Strategy Based on Hardware-in-the-Loop Simulations

  • Yan, Tian Yi;Li, Qiang;Ren, Kun Ru;Wang, Yu Lin;Zhang, Lu Zou
    • Journal of Biosystems Engineering
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    • v.37 no.3
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    • pp.148-154
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    • 2012
  • Purpose: In order to improve road-friendliness of heavy vehicles, a fuzzy hybrid control strategy consisting of a hybrid control strategy and a fuzzy logic control module is proposed. The performance of the proposed strategy should be effectively evaluated using a hardware-in-the-loop (HIL) simulation model of a semi-active suspension system based on the fuzzy hybrid control strategy prior to real vehicle implementations. Methods: A hardware-in-the-loop (HIL) simulation system was synthesized by utilizing a self-developed electronic control unit (ECU), a PCI-1711 multi-functional data acquisition board as well as the previously developed quarter-car simulation model. Road-friendliness of a semi-active suspension system controlled by the proposed control strategy was simulated via the HIL system using Dynamic Load Coefficient (DLC) and Dynamic Load Stress Factor (DLSF) criteria. Results: Compared to a passive suspension, a semi-active suspension system based on the fuzzy hybrid control strategy reduced the DLC and DLSF values. Conclusions: The proposed control strategy of semi-active suspension systems can be employed to improve road-friendliness of road vehicles.