• 제목/요약/키워드: model systems

검색결과 23,622건 처리시간 0.052초

JIT 생산시스템에서의 발주량 결정을 위한 모델 설계 (AN ORDERING MODEL TO DETERMINE PRODUCTION QUANTITY IN JUST-IN-TIME PRODUCTION SYSTEM)

  • 안범준
    • 한국산학기술학회논문지
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    • 제7권2호
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    • pp.251-256
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    • 2006
  • 본 논문은 다단계, 다품종 조립라인을 고려한 모델이며 JIT 생산시스템에서의 최적의 발주량 계산을 목적으로 하고 있다. 제안 모델의 목적함수는 재고비와 setup 비의 합이 최소화되도록 설계되어 있다. 이는 대부분의 자동차 부품회사의 경우 setup 공정을 포함하고 있기 때문이다. 마지막으로 수치실험을 통해 제안 모델의 유효성을 보여 주고 있다.

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방공교전모델(DADSim) 개발 및 활용사례 (Distributed Air Defense Simulation Model and its Applications)

  • 최상영;김의환
    • 한국국방경영분석학회지
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    • 제27권2호
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    • pp.134-148
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    • 2001
  • In this paper, air-defense simulation model, called "DADSim", will be introduced. DADSim(Distributed Air Defense Simulation Model) was developed by Modeling&Simulation Lab of K.N.D.U.(Korea National Defence Univ) Weapon Systems Department. This model is an analysis-purpose model in the engagement-level. DADSim can simulate not only the global air-defense or Korean Peninsula but also the local air-defense or a battle field. DADSim uses the DTED(digital terrain elevation data) LeveII it for the representation of peninsula terrain characteristics. The weapon systems cooperated in the model are low/medium-range missile systems such as HAWK, NIKE, SAM. DADSim was designed in the way of object-oriented development method, implemented by C++ language. The simulation view is an event-sequenced object-orientation. For the convenience of input, output analysis, GUI(Graphic User Interface) of menu, window, dialog box, etc. are provided to the user, For the execution of DADSim, Silicon Graphic IRIX 6.3 or high version is required. DADSim can be used for the effectiveness analysis of­defence systems. Some illustrative examples will be shown in this paper.

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Shared Memory Model over a Switchless PCIe NTB Interconnect Network

  • Lim, Seung-Ho;Cha, Kwangho
    • Journal of Information Processing Systems
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    • 제18권1호
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    • pp.159-172
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    • 2022
  • The role of the interconnect network, which connects computing nodes to each other, is important in high-performance computing (HPC) systems. In recent years, the peripheral component interconnect express (PCIe) has become a promising interface as an interconnection network for high-performance and cost-effective HPC systems having the features of non-transparent bridge (NTB) technologies. OpenSHMEM is a programming model for distributed shared memory that supports a partitioned global address space (PGAS). Currently, little work has been done to develop the OpenSHMEM library for PCIe-interconnected HPC systems. This paper introduces a prototype implementation of the OpenSHMEM library through a switchless interconnect network using PCIe NTB to provide a PGAS programming model. In particular, multi-interrupt, multi-thread-based data transfer over the OpenSHMEM shared memory model is applied at the implementation level to reduce the latency and increase the throughput of the switchless ring network system. The implemented OpenSHMEM programming model over the PCIe NTB switchless interconnection network provides a feasible, cost-effective HPC system with a PGAS programming model.

베이지안 딥러닝 기법을 이용한 확률적 적설심 예측 모델 개발 (Development of a Stochastic Snow Depth Prediction Model Using a Bayesian Deep Learning Method)

  • 정영준;이상익;이종혁;서병훈;김동수;서예진;최원
    • 한국농공학회논문집
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    • 제64권6호
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    • pp.35-41
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    • 2022
  • Heavy snow damage can be prevented in advance with an appropriate security system. To develop the security system, we developed a model that predicts snow depth after a few hours when the snow depth is observed, and utilized it to calculate a failure probability with various types of greenhouses and observed snow depth data. We compared the Markov chain model and Bayesian long short-term memory models with varying input data. Markov chain model showed the worst performance, and the models that used only past snow depth data outperformed the models that used other weather data with snow depth (temperature, humidity, wind speed). Also, the models that utilized 1-hour past data outperformed the models that utilized 3-hour data and 6-hour data. Finally, the Bayesian LSTM model that uses 1-hour snow depth data was selected to predict snow depth. We compared the selected model and the shifting method, which uses present data as future data without prediction, and the model outperformed the shifting method when predicting data after 11-24 hours.

함정 전투체계 개발을 위한 모델기반 시스템 엔지니어링 프로세스 연구 (A Study on the Model-Based Systems Engineering Process for Developing the Naval Combat System)

  • 조명섭;송하석;윤태훈;오성균;박영원
    • 시스템엔지니어링학술지
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    • 제8권1호
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    • pp.29-39
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    • 2012
  • The conventional systems engineering has been performed mainly based on documentation artifacts. Although the Document-Based Systems Engineering has played a very important role in developing and deploying systems, it is difficult for systems engineers to build, to clarify, and to reuse the operational, functional and physical views of the System of Interest (SOI) efficiently. An information-age approach to this problem is the Model-Based Systems Engineering which has been emerging as a very productive solution for stakeholders to define, and understand the desired systems easily, to communicate and collaborate efficiently among each other, and also to verify and validate the systems solutions effectively. This paper proposes a set of MBSE process, methods, and models for use during the systems analysis and design phase of the naval combat system development. An example application of the proposed approach was exercised and a set of artifacts was generated for an export combat system project to demonstrate its effectiveness.

데이터모델 관점에서의 시스템설계 및 시스템안전 프로세스의 통합에 관한 연구 (On the Integration of Systems Design and Systems Safety Processes from an Integrated Data Model Viewpoint)

  • 김영민;이재천
    • 대한안전경영과학회지
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    • 제14권4호
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    • pp.107-116
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    • 2012
  • The issues raised so far in the development of safety-critical systems have centered on how effectively the safety requirements are met in systems design. The systems are becoming more complex due to the increasing demand on the functionality and performance. As such, the integration of both the systems design and systems safety processes becomes more important and at the same time quite difficult to carry out. In this paper, an approach to solving the problem is presented, which is based on an integrated data model. To do so, the data generated from the inputs and outputs of the systems design and systems safety processes are analyzed first. The results of analysis are used to extract common attributes among the data, thereby making it possible to define classes. The classes then become the cores of the interface data model through which the interaction between the two processes under study can be modeled and interpreted. The approach taken has also been applied in a design case to demonstrate its value. It is expected that the results of the study could play a role of the stepping stone in extending to the architecture development of the integrated process.

무인자율수중운동체의 보정항법을 위한 축소된 오차 모델 (Reduced Error Model for Integrated Navigation of Unmanned Autonomous Underwater Vehicle)

  • 박용곤;강철우;이달호;박찬국
    • 제어로봇시스템학회논문지
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    • 제20권5호
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    • pp.584-591
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    • 2014
  • This paper presents a novel aided navigation method for AUV (Autonomous Underwater Vehicles). The navigation system for AUV includes several sensors such as IMU (Inertial Measurement Unit), DVL (Doppler Velocity Log) and depth sensor. In general, the $13^{th}$ order INS error model, which includes depth error, velocity error, attitude error, and the accelerometer and gyroscope biases as state variables is used with measurements from DVL and depth sensors. However, the model may degrade the estimation performance of the heading state. Therefore, the $11^{th}$ INS error model is proposed. Its validity is verified by using a degree of observability and analyzing steady state error. The performance of the proposed model is shown by the computer simulation. The results show that the performance of the reduced $11^{th}$ order error model is better than that of the conventional $13^{th}$ order error model.

실시간 디지털 시뮬레이터를 위한 서대구 SVC 모델 개발 (Development of RTDS model for Sea-Deagu SVC)

  • 김용길;이진;윤용범;김용학
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 하계학술대회 논문집 A
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    • pp.280-282
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    • 2002
  • This paper presents the characteristics and Real Time Digital Simulator(RTDS) model for Seo-deagu Static Var Compensator(SVC) systems installed in 1999. SVC system is a power system controller using power electronics called Flexible AC Transmission Systems (FACTS). RTDS model for Seo-deagu SVC is developed and verified, we recognize to be essential for SVC systems and understand SVC systems through simulation.

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Frequency-Domain Balanced Stochastic Truncation for Continuous and Discrete Time Systems

  • Shaker, Hamid Reza
    • International Journal of Control, Automation, and Systems
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    • 제6권2호
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    • pp.180-185
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    • 2008
  • A new method for relative error continuous and discrete time model order reduction is proposed. The reduction technique is based on two recently developed methods, namely frequency domain balanced truncation within a frequency bound and inner-outer factorization techniques. The proposed method is of interest for practical model order reduction because in this context it shows to keep the accuracy of the approximation as high as possible without sacrificing the computational efficiency. Numerical results show the accuracy and efficiency enhancement of the method.

B2B 상거래 협상을 위한 지능형 인터페이스 모델 (Intelligent interface model for B2B electronic commerce negotiation)

  • 임기영;고성범;조용대
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
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    • pp.195-198
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    • 2001
  • The electronic commerce systems has been emerge in the field of commerce by making it possible to sell goods without the restriction of time and space. As the business based on the electronic commerce is increased, many studies related to the electronic commerce have been presented. In conventional electronic commerce systems, the buyers purchase some goods by using the information such as quality and price that are offered by the seller. In this paper we propose intelligent interface model that can satisfy the both sides.

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