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      • SCIESCOPUSKCI등재

        A study for production simulation model generation system based on data model at a shipyard

        Back, Myung-Gi,Lee, Dong-Kun,Shin, Jong-Gye,Woo, Jong-Hoon The Society of Naval Architects of Korea 2016 International Journal of Naval Architecture and Oc Vol.8 No.5

        Simulation technology is a type of shipbuilding product lifecycle management solution used to support production planning or decision-making. Normally, most shipbuilding processes are consisted of job shop production, and the modeling and simulation require professional skills and experience on shipbuilding. For these reasons, many shipbuilding companies have difficulties adapting simulation systems, regardless of the necessity for the technology. In this paper, the data model for shipyard production simulation model generation was defined by analyzing the iterative simulation modeling procedure. The shipyard production simulation data model defined in this study contains the information necessary for the conventional simulation modeling procedure and can serve as a basis for simulation model generation. The efficacy of the developed system was validated by applying it to the simulation model generation of the panel block production line. By implementing the initial simulation model generation process, which was performed in the past with a simulation modeler, the proposed system substantially reduced the modeling time. In addition, by reducing the difficulties posed by different modeler-dependent generation methods, the proposed system makes the standardization of the simulation model quality possible.

      • KCI등재

        A study for production simulation model generation system based on data model at a shipyard

        백명기,이동건,신종계,우종훈 대한조선학회 2016 International Journal of Naval Architecture and Oc Vol.8 No.5

        Simulation technology is a type of shipbuilding product lifecycle management solution used to support production planning or decisionmaking. Normally, most shipbuilding processes are consisted of job shop production, and the modeling and simulation require professional skills and experience on shipbuilding. For these reasons, many shipbuilding companies have difficulties adapting simulation systems, regardless of the necessity for the technology. In this paper, the data model for shipyard production simulation model generation was defined by analyzing the iterative simulation modeling procedure. The shipyard production simulation data model defined in this study contains the information necessary for the conventional simulation modeling procedure and can serve as a basis for simulation model generation. The efficacy of the developed system was validated by applying it to the simulation model generation of the panel block production line. By implementing the initial simulation model generation process, which was performed in the past with a simulation modeler, the proposed system substantially reduced the modeling time. In addition, by reducing the difficulties posed by different modeler-dependent generation methods, the proposed system makes the standardization of the simulation model quality possible.

      • KCI등재

        제품, 공정, 설비 정보 표현 방법을 개선한공정 중심 시뮬레이션 모델링 방법

        백선중,오대균,이동건,이필립,유철호,우종훈,정용국 해양환경안전학회 2017 海洋環境安全學會誌 Vol.23 No.4

        A process-centric simulation modeling method has been proposed to define a shipbuilding simulation model. Existing modeling methods have limitations for expressing various production information for a shipyard. The advanced process-centric modeling method proposed in this paper offers an improvement, effectively representing production information and constraints for a shipyard. To achieve this, a method and diagram components to define a process-centric simulation model in detail have been suggested. The modeling method can assign priorities when multiple products and facilities are assigned to the process. And layer concept was applied to express simulation model with hierarchical structure. To verify the effectiveness of the modeling method, comparative analysis has been performed and the actual shipbuilding process has been modeled using the proposed method. When a single facility was used for various purposes, we found that the proposed method was more advantageous than existing methods. As a result, it was possible to express constraints and flows that were difficult to identify with existing process-centric simulation modeling methods, and the methods were improved for use in shipyard production planning verification simulations. 본 연구에서는 기존에 제안되었던 공정 중심 모델링 방법을 개선하여 조선소의 다양한 생산 정보와 제약조건을 효과적으로 표현할 수 있도록 개선된 공정 중심 시뮬레이션 모델링 방법을 제안하였다. 그리고 이를 이용하여 시뮬레이션 모델을 구축할 수 있도록 다이어그램 구성 요소와 모델링 방법을 상세히 기술하였다. 이 모델링 방법에서는 복수의 제품과 설비가 공정에 투입되었을 때 우선순위를 지정할 수 있으며, 계층 구조를 가진 시뮬레이션 모델을 표현할 수 있도록 레이어 개념이 적용되어 있다. 그리고 조선소 생산 계획 정보를 바탕으로 절단 공정부터 대조립 블록 조립 공정까지를 본 논문에서 제안하는 방법으로 모델링하다. 이를 통하여 본 논문에서 제안하는 방법이 단일 설비가 여러 용도로 사용되는 경우에 기존의 모델링 방법에 비하여 유리한 것을 확인하였다. 결과적으로, 개선된 공정 중심 시뮬레이션 모델링 방법은 기존의 공정 중심 시뮬레이션 모델링 방법에서 표현하기 힘들었던 제약 조건과 흐름을 효과적으로 표현할 수 있으며, 계층 구조를 가진 조선소 생산 계획 검증 시뮬레이션 모델을 체계적으로 구축하는데 활용할 수 있다.

      • Domain-oriented variability modeling for reuse of simulation models

        Lee, Hyesun,Yang, Jin-Seok,Kang, Kyo Chul,Pyun, Jai-Jeong SAGE Publications 2014 Simulation Vol.90 No.4

        <P>Reusability is an important quality attribute for defense modeling and simulation (MS) due to the ever-changing combat simulations and new requirements. There has been research conducted worldwide for reusing simulation models. The methods proposed in these studies (including One Semi-Automated Forces (OneSAF)) support reuse of simulation components in the development of new models. As the reuse units in the existing methods are at the simulation component level, when existing components do not satisfy new simulation requirements, new components have to be developed and maintained separately from the existing ones. However, simulation components in the same domain tend to have common parts; behavior models for tactical missions and battlefield functions in the same domain are derived from the same tactical doctrine/manual, and thus they tend to have a common structure. There is a need for a new method to maximize reusability by providing “fine-grained” reuse, i.e. composing simulation components from reusable fine-grained modules (i.e. behaviors/functions). We address the problem by applying the product line engineering concept to the development of simulation components. Commonalities and variabilities (CVs) of domain-specific simulation requirements and CVs of tactical behaviors and battlefield functions are identified in domain-oriented variability modeling. Then, the CVs are used to design and implement domain-specific simulation component assets with domain-specific tactical behaviors and battlefield functions while embedding the identified variabilities. These domain-specific component assets are instantiated based on selections of variabilities and then integrated to develop a simulation model. Feasibility of the method was demonstrated in an infantry squad combat domain of the Republic of Korea armed forces.</P>

      • KCI등재

        복합 통행행태모형을 이용한 동적 기·종점 통행량 추정

        김채만,조중래 대한교통학회 2006 대한교통학회지 Vol.24 No.6

        The purpose of this paper is to develop a dynamic OD estimating model to overcome the limitation of depicting real situations in dynamic simulation models based on static OD trip. To estimate dynamic OD matrix we used the hybrid discrete choice model( called the 'Demand Simulation Model’), which combines travel departure time with travel mode and travel path. Using this Demand Simulation Model, we deduced that the traveler chooses the departure time and mode simultaneously, and then choose his/her travel path over the given situation. In this paper, we developed a hybrid simulation model by joining a demand simulation model and the supply simulation model(called LiCROSIM-P) which was previously developed. We simulated the hybrid simulation model for dependent/independent networks which have two origins and one destination. The simulation results showed that AGtt(Average gap expected travel time and simulated travel time) did not converge, but average schedule delay gap converged to a stable state in transportation network consisted of multiple origins and destinations, multiple paths, freeways and some intersections controlled by signal..We present that the hybrid simulation model can estimate dynamic OD and analyze the effectiveness by changing the attributes of the traveler and networks. Thus, the hybrid simulation model can analyze the effectiveness that reflects changing departure times, travel modes and travel paths by demand management policy, changing network facilities, traffic information supplies, and so on. 정적 기종점 통행량을 가정함으로써 갖는 동적 시뮬레이션 모형의 현실 모사 능력의 한계를 극복하기 위하여 동적 기종점 통행량 추정 모형을 개발하였다. 동적 기종점 통행량 추정은 통행자의 출발시간, 통행수단, 통행경로 선택 행태모형을 결합한 복합통행행태 수요시뮬레이션 모형을 이용하였다. 본 연구에서 개발된 수요 시뮬레이션 모형과 기 개발된 공급 시뮬레이션 모형인 LiCROSiM-P를 결합하여 통합 시뮬레이션 모형을 구축하였다. 단속류/연속류가 공존하는 다경로 가로망에서 출발시간/수단선택/통행경로 선택모형은 AGtt(기종점통행시간의 시뮬레이션 시간과 기대치의 차이 백분율)는 수렴하지 않고, 평균스케줄지체는 안정 상태로 수렴하는 것으로 나타났다. 통합 시뮬레이션 모형은 교통시설공급 변화와 통행자의 속성 변화에 따른 기종점 통행량 변화 추정과 효과분석이 가능함을 모형의 적용을 통해 제시하였다. 따라서 통합시뮬레이션 모형은 수요관리정책, 교통시설변화, 교통정보제공 등이 가져오는 출발시간, 통행수단, 통행경로변화를 반영한 시스템의 효과분석이 가능하다.

      • KCI등재

        사용자 및 이기종 사물간의 상호작용을 효과적으로 시뮬레이션하기 위한 디지털 트윈기법

        강명진(Myeong-jin Kang),박대진(Daejin Park) 한국정보통신학회 2023 한국정보통신학회논문지 Vol.27 No.4

        디지털 트윈은 현실세계의 물리적 객체를 데이터로 모델링 하고 이를 바탕으로 모델링한 객체들 간의 상호작용 등을 시뮬레이션하고 얻어낸 결괏값을 다시 현실세계로 피드백 하여 현실의 물리적 비용을 최소화하면서 최적의 결과를 얻어낸다. 이 때, 물리적 객체를 데이터로 모델링하는 과정이 이상적으로 구현되기 어려우며, 모델링된 객체간의 상호작용 시뮬레이션이 복잡해지면서 많은 연산이 요구되고, 결괏값또한 이해하기 어려운 현상이 나타난다. 본 논문에서는 디지털 트윈을 통해 모델링한 객체의 시뮬레이션과정을 가상 시뮬레이션을 통해 구현하고, 시뮬레이션과정을 시각화 함으로써, 사용자의 직관을 통해 시뮬레이션 중간과정에 개입할 수 있는 모델을 제시한다. 제시하는 모델은 모델링에 대한 피드백을 구현하여 시뮬레이션의 반복횟수를 줄이고, 시뮬레이션 결괏값에 대한 이해도를 높이는 환경을 제안한다. 본 논문에서는 3D-Unity를 사용하여 시뮬레이션의 반복횟수를 줄여 시뮬레이션의 수행시간을 주어진 환경에서 대해서 57% 감소를 검증하였다. The digital twin makes optimistic results by simulating the interactions between modeled data from the physical object in reality and getting the parameter to the reality, with minimizing physical cost. However, it is a challenge to ideally implement the process of modeling physical objects to data. Also, the simulation of interactions between modeled objects becomes more complicated, requiring a lot of arithmetic operations which makes it difficult to understand results and parameters. In this paper, we suggest a model, which combines the digital twin and virtual simulation. The combination model visualizes the simulation and makes the user involved in the process of simulation. Through the user’s process intervention and visualization, our model presents feedback on modeling, which presents highly understandable results and shows accurate parameters results. Also, we verify the 57% reduction in simulation time with iterations reduction of simulation with 3D-Unity in proposed environment.

      • KCI등재

        무인비행체 물체 낙하 지점 결정을 위한 실시간 시뮬레이션 모델 분석

        황호진 한국CDE학회 2023 한국CDE학회 논문집 Vol.28 No.3

        With the increasing importance of initial response in emergency maritime rescue systems, there has been a rise in applications involving aerial delivery or dropping of objects from unmanned vehicles. Training plays a vital role in supporting mission execution in military and emergency situations. However, real-world training encounters limitations in terms of cost and safety, mak- ing virtual training a viable alternative. This paper analyzes and proposes approaches for real- time simulation of dropping object from unmanned vehicles for educational training purposes. The educational training simulation models can be classified into three categories: physics-based simulation mathematical models, data-driven search models, and probability-based simulation estimation models. Physics-based models ensure accuracy, but real-time processing is challeng- ing. Data-driven models, on the other hand, cannot adapt to new input conditions. Therefore, a probability-based simulation estimation model, considering uncertainties, is deemed suitable for educational training simulations. The probability-based model provides estimation outputs based on probability distributions, accommodating diverse variables. To implement a specific probabil- ity-based estimation model, diverse environmental input conditions should be utilized, and simu- lation results must be compared and validated against mathematical models. The model's development is expected to enhance real-time aerial delivery and dropping training, improving mission execution efficiency.

      • Model Concept for Simulating Mechanical Behavior of Deep Geological Repository

        Pilhyeon Ju,Nakkyu Chae,Samuel Park,Taehoon Park,Seongkoo Hong,Gyosoon Kim,Yongmin Gwon,Sungyeol Choi 한국방사성폐기물학회 2023 한국방사성폐기물학회 학술논문요약집 Vol.21 No.1

        For the performance analysis of deep geological repository systems, numerical simulation with multi-physics is required, which specifically covers Thermal (T), Hydraulic (H), and Mechanical (M) behaviors in the disposal environment. Numerous simulation models have been developed so far, each of which varies in the approach and methodology for solving THM problems. Fully-coupled THM simulation codes such as ROCMAS, THAMES, and CODE_BRIGHT were mainly developed in the initial stage of DEvelopment of COupled models and their VALidation against EXperiments (DECOVALEX), with the advantage of thorough calculations consisting of correlated several variables on different physics. Due to the difficulty of solving the complex Jacobian Matrix and the following burden for the computational calculation, weakly-coupled THM models have been suggested in recent researches: TOUGH2-MP with FLAC3D, TOUGH2 with UDEC and OpenGeoSys with FLAC3D. This methodology of loose coupling allows the practical use of computational code optimized for each physics, thereby increasing the efficiency in simulation. However, these suggested models require two different numerical codes to calculate THM behaviors, which leads to several inherent issues: compatibility during maintenance, updating and dependency between two codes. In this study, therefore, the authors build a unified code for simulating THM behaviors in the deep geological repository. The concept involves the iterative sequential coupling between TH and M for calculation efficiency. As having developed the simulation code, High-level rAdiowaste Disposal Evaluation System (HADES), to describe TH behavior based on Multi-physics Object-Oriented Simulation Environment (MOOSE) software, the authors make a milestone to develop and couple the MOOSE-based new code for M behavior as Sub-app, with the previous HADES set to be Main-app. New model for M behavior will be verified with the benchmark case of DECOVALEX-THMC Task D, comparing the mechanical simulation results: stress evolution over time, profiles of stress and vertical displacement. The existing simulation results from HADES will also be updated with the coupled calculations, with regard to temperature and saturation. Additionally, the effective stress evolution can be assessed in terms of repository’s stability with Spalling Strength and Mohr-Coulomb failure criterion. This concept for new simulation model has its meaning in that it aims to demonstrate the specific methodology of loosely coupling multi-physics in unified simulation code and analyze THM complex interactions with considering mutual influence on various physics. It is expected that HADES can be renewed as an integral simulation model for deep geological repository systems by possessing the capacity for analyzing and assessing mechanical behavior.

      • KCI등재

        반도체 FAB의 자동화 물류 시스템을 위한 다중해상도 모델링 방법

        이관우,송시용,박상철 한국시뮬레이션학회 2023 한국시뮬레이션학회 논문지 Vol.32 No.2

        In this study, we propose a multi-resolution modeling method for the automated material handling system in semiconductor FABs. Discrete-event simulation is a crucial tool for experimenting and solving decision-making problems in the semiconductor industry. However, when both the production and logistics systems of semiconductor FABs are modeled together, simulation speed can become slow. To address this issue, we suggest a method that uses high-resolution and low-resolution models simultaneously to create a model of FAB’s automated material handling system. By inheriting the logistics system characteristics extracted from the high-resolution model into the low-resolution model, we can obtain an FAB automated material handling system model with high simulation speed and accuracy. We verified the efficiency of our proposed method through simulation case studies using SMT2020 and SMAT2022 testbeds. Our proposed multi-resolution modeling method is expected to make an important technical contribution to improving the efficiency and accuracy of semiconductor FAB simulation. 본 연구에서는 반도체 FAB의 자동화 물류 시스템에 대한 다중해상도 모델링 방법을 제안한다. 이산사건 시뮬레이션은 반도체 산업 분야에서 중요한 도구로 활용되고 있지만, 반도체 생산 시스템과 물류 시스템을 함께 모델링하면 시뮬레이션 속도가 느려지는 문제점이 있다. 본 연구에서는 이러한 문제를 극복하기 위해, 고해상도 모델과 저해상도 모델을 동시에 사용하여 FAB의 자동화 물류 시스템에 대한 모델을 생성하는 방법을 제안한다. 고해상도 모델에서 추출된 FAB의 물류 시스템 특성을 저해상도 모델에 상속함으로써, 높은 시뮬레이션 속도와 높은 정합성을 갖는 FAB의 자동화 물류 시스템 모델을 획득할 수 있다. 본 연구에서는 SMT2020, SMAT2022 테스트배드를 활용한 시뮬레이션 사례 연구를 통해 제안된 방법의 효율성을 입증하였다. 이를 통해 제안된 다중해상도 모델링 방법이 반도체 FAB 시뮬레이션의 효율성과 정확성을 향상할 수 있는 중요한 기술적 기여할 것으로 기대된다.

      • KCI등재

        사이버 공격 시뮬레이션을 위한 공격자 및 호스트 모델링

        정정례,이장세,박종서,지승도 한국시뮬레이션학회 2003 한국시뮬레이션학회 논문지 Vol.12 No.2

        The major objective of this paper is to propose the method of attacker and host modeling for cyber-attack simulation. In the security modeling and simulation for information assurance, it is essential the modeling of attacker that is able to generate various cyber-attack scenarios as well as the modeling of host, which is able to represent behavior on attack concretely The security modeling and simulation, which was announced by Cohen, Nong Ye and etc., is too simple to concretely analyze attack behavior on the host. And, the attacker modeling, which was announced by CERT, Laura and etc., is impossible to represent complex attack excepting fixed forms. To deal with this problem, we have accomplished attacker modeling by adopted the rule-based SES which integrates the existing SES with rule-based expert system for synthesis and performed host modeling by using the DEVS formalism. Our approach is to show the difference from others in that (ⅰ) it is able to represent complex and repetitive attack, (ⅱ) it automatically generates the cyber-attack scenario suitable on the target system, (ⅲ) it is able to analyze host's behavior of cyber attack concretely. Simulation tests performed on the sample network verify the soundness of proposed method.

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