• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.269-272
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• 2021

본 논문에서는 변수간의 다양한 관계 분석 또는 예측 모델에 많이 적용되는 베이지안 네트워크 모델에 대한 양자 회로를 설계하고, 설계한 양자 회로를 '모여봐요! 동물의 숲' 게임에서 진행되는 무 거래에 대한 무값을 예측하는 시나리오에 적용했다. 제안한 양자 가격 예측 모델은 양자 회로로 표현했으며 IBM 의 Qiskit 을 이용해 구현하였다. 구현한 회로는 시뮬레이션 백엔드 뿐만아니라 IBM 에서 클라우드로 제공하는 실제 양자 컴퓨터 2 종의 백엔드에 실행하였고, 실행 결과와 설계한 회로를 바탕으로 제안한 모델의 성능을 분석하여 제안 모델의 효용성을 보였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.11 no.2
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• pp.13-26
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• 2001

This paper presents the network security modeling methodology and simulation using the hierarchical and modular modeling and simulation framework. Recently, Howard and Amoroso developed the cause-effect model of the cyber attack, defense, and consequences, Cohen has been proposed the simplified network security simulation methodology using the cause-effect model, however, it is not clear that it can support more complex network security model and also the model-based cyber attack simulation. To deal with this problem, we have adopted the hierarchical and modular modeling and simulation environment so called the System Entity Structure/Model Base (SES/MB) framework which integrates the dynamic-based formalism of simulation with the symbolic formalism of AI. Several simulation tests performed on sample network system verify the soundness of our method.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.145-146
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• 2022

물동량 증가로 인하여 부산신항에는 극초대형 컨테이너 선박들이 입항하고 있으며 서컨테이너 부두 건설 사업이 완료되면 부산신항 진출입 항로 내 다양한 조우 상황 발생으로 충돌 위험 상황을 초래할 수 있어 선박 통항 안전성 향상 방안 마련을 위하여 부산신항 내 항만 입출항 현황과 해상교통흐름을 살펴보았으며, AHP 기법을 활용하여 위험요소 및 안전대책 식별로 도출된 안전대책을 기반으로 환경 스트레스 모델을 활용하여 해상교통류 시뮬레이션을 실시하여 각 안전대책의 교통 위험도를 파악하였다. 설문조사 및 시나리오 평가 결과, 선박운항자는 일방통행을 위한 진입금지 해역 설정을 가장 중요하게 생각하였으며, 이는 위험도 경감에 큰 효과가 있을 것으로 예상되었다, 본 연구는 부산신항을 입출항 하는 선박들의 통항 안전성 제고를 위한 안전대책 마련의 기반이 될 수 있을 것이다.

• Journal of the Korea Computer Industry Society
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• v.3 no.8
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• pp.1049-1062
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• 2002

As the distributed resources in the networks have become increasingly popular, the accesses to these resources having been activated. Especially, the accesses to the distributed resources using the mobile agent technologies provide the mechanisms supporting mobility with mobile users as well as the dynamic accesses to the resources in the fixed networks. Proxy-based mobile agent model is defined as mobile agent network model which allocates the hierarchical domains to the distributed resources changed dynamically, assigns one proxy server for each domain, and promotes the management and the cooperation of the mobile agents. In this paper, we introduce the architecture and the execution scenario for proxy-based mobile agent model which is suitable for the hierarchical management domains. In simulation, we evaluate the proxy server's route optimization functionality and the performance reducing execution time of the mobile agents.

• Journal of the Korea Society for Simulation
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• v.32 no.4
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• pp.41-58
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• 2023

As naval warfare changes to composite warfare that includes simultaneous engagements against surface, underwater, and air enemies, performance and tactical analysis are required to respond to naval warfare. In particular, for practical analysis of composite warfare, it is necessary to study engagement simulations that can appropriately utilize the limited performance resources of the detection system. This paper proposes a DEVS (Discrete Event Systems Specifications)-based simulation model for composite warfare analysis. The proposed model contains generalized models of combat platforms and armed objects to simulate various complex warfare situations. In addition, we propose a detection performance allocation algorithm that can be applied to a detection system model, considering the characteristics of composite warfare in which missions must be performed using limited detection resources. We experimented with the effectiveness of composite warfare according to the strength of the detection system's resource allocation, the enemy force's size, and the friendly force's departure location. The simulation results showed the effect of the resource allocation function on engagement time and success. Our model will be used as an engineering basis for analyzing the tactics of warships in various complex warfare situations in the future.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.379-389
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• 2014

The purpose of this study is to optimize the patient(examinee) flow in a health examination center via a simulation model and to improve operational efficiency. Two experimentation scenarios were implemented into the simulation model to determine which proposed scenario provides better improvement in terms of the following performance measures: LOS(Length of Stay), staff utilization, and occupancy level. The simulation results demonstrated that there was no significant difference in response results of two scenarios. Although the original motivation of this study was suggest optimal policy for a patient(examinee) flow, the insight into applying simulation in efficiently managing hospital operations is of more value. Simulation approach is a powerful technique that supports efficient decision-making compared to traditional healthcare management approach based on past experience, feelings, and intuition. Therefore, the proposed experimentation model has wide applicability in healthcare systems.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.33 no.6
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• pp.359-366
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• 2020

In this study, a simulation-based damage estimation method for helidecks is proposed using an artificial neural network. The structural members that share a connecting node in the helideck are regarded as a damage group, and a total of 37,400 damage scenarios are numerically generated by applying randomly assigned damage to up to three damage groups. Modal analysis is then performed for all the damage scenarios, which are selectively used as either training or validation or verification sets based on the purpose of use. An artificial neural network with three hidden layers is constructed using a PyTorch program to recognize the patterns of the modal responses of the helideck model under both damaged and undamaged states, and the network is successively trained to minimize the loss function. Finally, the estimated damage rate from the proposed artificial neural network is compared to the actual assigned damage rate using 400 verification scenarios to show that the neural network is able to estimate the location and amount of structural damage precisely.

• Journal of the Korea Society for Simulation
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• v.27 no.3
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• pp.13-21
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• 2018

The system of systems (SoS) based analysis method for the C3 system consisting of the communication system and the command and control (C2) system has the advantage that detailed analysis is possible, but it requires long execution time per one trial, which makes the analysis of various scenarios difficult. To solve this problem, this paper proposes a method for analysis of C3 SoS using a transformation of a federation into an integrated simulation. This transformation technique reduces the execution time while maintaining accuracy by abstracting the system other than the one to be analyzed, consisting of model hypothesis and function identification. The former can construct an abstracted model for the simulation through the proposed extended Discrete Event Systems Specification (DEVS) formalism and the latter can express the characteristics of the model influenced by other systems. From the case study on C and C2 analysis, the experimental results show that this method shortened the time considerably while maintaining the accuracy within an acceptable error range and we expect that this method will enable the exploratory analysis of the complex systems other than C3.

• Journal of the Korea Society for Simulation
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• v.33 no.3
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• pp.37-50
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• 2024

In indoor disaster scenarios such as fires or gas leak, prompt rescue operations are essential to minimize expected casualties. This paper proposes a simulation model that applies the concept of Manned-Unmanned Teaming (MUM-T) for effective search and rescue in indoor fires. To this end, we first identify appropriate agents to model search and rescue operations. The proposed agent-based simulation consists of a fire and map model, an occupant model, a drone model for occupants searching, a rescuer model for searching and rescuing occupants, and a control center model that assigns missions to drones and rescuers. The agent models identified according to the MUM-T concept interact with other agents during the fire response simulation. Simulation experiments were conducted for search and rescue operations in three scenarios, one consisting of only rescuers and two with mixed rescuers and drones for MUM-T. The simulation results indicated that a drone applied to MUM-T could replace an average of four rescuers. The simulation method proposed in this study is expected to improve the efficiency of search and rescue operations in indoor disaster situations and minimizing the loss of life.

• Journal of IKEEE
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• v.27 no.4
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• pp.650-656
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• 2023

This paper implements a channel model for mmWave bands using an NS-3-based 5G system-level simulator and analyzes the reliability and validity of the implemented model through RF performance verification. The channel model for RF performance verification in the mmWave bands consider parameters such as characteristics defined in 3GPP TR 38.901, beam-forming, antenna configuration, scenarios, among others. Furthermore, the simulation results verify compliance within the ranges permitted by the 3GPP standards and verify reliability in indoor environmental scenarios by exploiting the Radio Environment Map (REM). Therefore, the channel model implemented in this study is applicable to the actual design and establishment of 5G networks, presenting a method to evaluate and validate RF performance by adjusting various parameters.