• 한국시뮬레이션학회논문지
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• 제11권2호
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• pp.77-88
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• 2002

Petri nets is a widely used formalism for specification and analysis of concurrent systems which is a subclass of discrete event systems. The DEVS (Discrete Event System Specification) formalism provides a general framework for specification of discrete event systems in a hierarchical, modular form. Often, modeling a discrete event system may employ both Petri Nets and DEVS formalism. In such a case low-level operational logics are modeled by Petri Nets and high-level managements by the DEVS formalism. Analysis of the system requires simulation of the overall system. This paper presents an algorithm for transformation of Petri Nets to DEVS formalism. The transformation enables modelers to simulate an overall system, which consists of DEVS models and Petri Nets models, in a unified DEVS simulation environment such as DEVSim++. An example for such transformation will be given.

• Journal of Power Electronics
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• 제17권6호
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• pp.1650-1657
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• 2017

In this study, the distributed secondary voltage control of islanded microgrids with multi-agent consensus algorithm is investigated. As an alternative to a time-triggered approach, an event-triggered scheme is proposed to reduce the communication load among inverter-based distributed generators (DGs). The proposed aperiodic control scheme reduced unnecessary utilization of limited network bandwidth without degrading control performance. By properly establishing a distributed triggering condition in DG local controller, each inverter is only required to send voltage information when its own event occurs. The compensation of voltage amplitude deviation can be realized, and redundant data exchange related to fixed high sampling rate can be avoided. Therefore, an efficient use of communication infrastructure can be realized, particularly when the system is operating in steady state. The effectiveness of the proposed scheme is verified by simulations on a microgrid test system.

• Journal of Astronomy and Space Sciences
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• 제34권2호
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• pp.139-151
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• 2017

This paper presents an overview of deep space orbit determination software (DSODS), as well as validation and verification results on its event prediction capabilities. DSODS was developed in the MATLAB object-oriented programming environment to support the Korea Pathfinder Lunar Orbiter (KPLO) mission. DSODS has three major capabilities: celestial event prediction for spacecraft, orbit determination with deep space network (DSN) tracking data, and DSN tracking data simulation. To achieve its functionality requirements, DSODS consists of four modules: orbit propagation (OP), event prediction (EP), data simulation (DS), and orbit determination (OD) modules. This paper explains the highest-level data flows between modules in event prediction, orbit determination, and tracking data simulation processes. Furthermore, to address the event prediction capability of DSODS, this paper introduces OP and EP modules. The role of the OP module is to handle time and coordinate system conversions, to propagate spacecraft trajectories, and to handle the ephemerides of spacecraft and celestial bodies. Currently, the OP module utilizes the General Mission Analysis Tool (GMAT) as a third-party software component for high-fidelity deep space propagation, as well as time and coordinate system conversions. The role of the EP module is to predict celestial events, including eclipses, and ground station visibilities, and this paper presents the functionality requirements of the EP module. The validation and verification results show that, for most cases, event prediction errors were less than 10 millisec when compared with flight proven mission analysis tools such as GMAT and Systems Tool Kit (STK). Thus, we conclude that DSODS is capable of predicting events for the KPLO in real mission applications.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.45-53
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• 2020

Past literatures have not studied the impact of real-world events or information on the return and volatility of virtual currencies, particularly on the COVID-19 event, day-of-the-week effect, daily high-low price spreads and information flow rate. The study uses the ARMA-GARCH model to capture Bitcoin's return and conditional volatility, and explores the impact of information flow rate on conditional volatility in the Bitcoin market based on the Mixture Distribution Hypothesis (Clark, 1973). There were 3,064 samples collected during the period from 1^st of January 2012 to 20^th April, 2020. Empirical results show that in the Bitcoin market, a daily high-low price spread has a significant inverse relationship for daily return, and information flow rate has a significant positive relationship for condition volatility. The study supports a significant negative relationship between information asymmetry and daily return, and there is a significant positive relationship between daily trading volume and condition volatility. When Bitcoin trades on Saturday & Sunday, there is a significant reverse relationship for conditional volatility and there exists a day-of-the-week volatility effect. Under the impact of COVID-19 event, Bitcoin's condition volatility has increased significantly, indicating the risk of price changes. Finally, the Bitcoin's return has no impact on COVID-19 events and holidays (Saturday & Sunday).

• 대한임베디드공학회논문지
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• 제8권6호
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• pp.347-357
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• 2013

Cyber-Physical system(CPS) is characterized by collaborating computational elements controlling physical entities. In CPS, human desire to acquire useful information and control devices anytime and anywhere automatically has increased the necessity of a high reliable system. However, the physical world where CPS is deployed has management complexity and maintenance cost of 'CPS', so that it is impossible to make reliable systems. Thus, this paper presents an 'Autonomic Control System towards High-reliable Cyber-Physical Systems' that comprise 8-steps including 'fault analysis', 'fault event analysis', 'fault modeling', 'fault state interpretation', 'fault strategy decision', 'fault detection', 'diagnosis&reasoning' and 'maneuver execution'. Through these activities, we fascinate to design and implement 'Autonomic control system' than before. As a proof of the approach, we used a ISR(Intelligent Service Robot) for case study. The experimental results show that it achieves to detect a fault event for autonomic control of 'CPS'.

• Journal of Astronomy and Space Sciences
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• 제18권2호
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• pp.163-173
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• 2001

본 논문에서는 아리랑 2호가 운용될 궤도의 우주방사능 환경 및 single event 영향(SEE)에 관하여 분석하였다. 위성체 외부 및 내부 방사능 환경으로서 지구 자기장 내부에 포획되어 활동하는 포획된 양자, 태양 및 태양계 외부에서 전달되는 SEP(solar energetic particle) 및 GCR(galactic cosmic ray)고 에너지 입자에 대하여 양자와 중이 온으로 구분하여 그들의 스펙트럼을 분석하였다. 아리랑 2호 전자소자로 사용 예정인 Intel 계열 80386 마이크로 프로세서 CPU에 대한 SEU 및 SEL발생률을 추정하였다. 분석결과, 정상적인 조건에서 포획된 양자나 고 에너지 양자에 의한 SEU 영향은 아리랑 2호 위성이 운용되는 3년동안 발생하지 않을 것으로 추정된다. 반면에, GCR 중이온에 의한 SEU 발생은 운용 중에 수차례 발생할 수 있는 것으로 추정되었다. 아리랑 2호는 탑재 소프트웨어의 프로세서 CPU오류 감지기능을 이용하여 SEU발생에 대처할 수 있는 시스템 레벨의 설계를 반영하고 있다.

• 한국환경보건학회지
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• 제43권6호
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• pp.491-498
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• 2017

Objective: Bacterial abundance and community compositions have been examined in Asian dust events, clarifying their impacts on public health. This study aims to determine the bacterial community compositions and viable bacteria in Asian dust particles in the Asian dust or non-Asian dust event of March 2016. Methods: The dust samples were collected using the high volume air sampler or high volume cascade impactor, and bacterial 16S rRNA genes were amplified using PCR, followed by pyrosequencing. Bacterial diversity index, richness estimate and community composition in the particles were analyzed from the sequencing data using Mothur software. Results: The results showed that the diversity and richness during Asian dust events were higher than them in non-Asian dust events. The total bacterial community analysis showed that at the phylum Proteobacteria, Actinobacteria and Firmicutes were the most dominant of Asian dust events and non-Asian dust events. In addition, the bacterial colony counts were higher during Asian dust event, comparing with non-Asian dust event. Conclusions: This study showed that bacterial community and richness of Asian dust samples was more complex and higher than non-Asian dust samples in Gyeonggi-do, Korea, which could affect public health and environment. Thus, the continuous monitoring of Asian dust could be an alternative for managing airborne bacteria.

• 한국게임학회 논문지
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• 제11권1호
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• pp.37-46
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• 2011

고성능 피처폰과 스마트폰이 등장함에 따라 모바일 게임의 규모와 개발 인원이 급속도로 증가하고 있다. 이런 이유들로 인해 모바일 게임의 개발 프로세스는 변하고 있다. 효율적인 프로그램 개발을 위한 툴은 전 세계적으로 개발되었지만, 이벤트 연출을 위한 툴에 대한 연구는 미비한 상태이다. 이벤트 연출에서 기획자는 프로그래머보다 더 중요한 역할을 한다. 본 논문에서는 기획자를 위한 모바일 게임 이벤트 연출 툴을 개발하고 개발된 툴의 효용성과 유용성을 테스트하기 위해 상용화 모바일 게임들의 이벤트를 작성하였다. 그 결과 개발 기간이 15%정도 단축되었다.

• 융합보안논문지
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• 제5권2호
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• pp.1-8
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• 2005

최근 새로운 공격기법에 대한 대응방법의 하나로 네트워크 상황 즉, 네트워크 사용량을 분석을 통한 외부 공격 예방기법이 연구되고 있다. 이를 위한 네트워크 분석을 데이터 마이닝 기법을 통하여 네트워크 이벤트에 대한 연관 규칙을 주어 외부뿐만 아니라 내부 네트워크를 분석할 수 있는 기법이 제안되었다. 대표적인 데이터 마이닝 알고리즘인 Apriori 알고리즘을 이용한 네트워크 트래픽 분석은 과도한 CPU 사용시간과 메모리 요구로 인하여 효율성이 떨어진다. 본 논문에서는 이를 해결하기 위해서 새로운 연관 규칙 알고리즘을 제시하고 이를 이용하여 네트워크 이벤트 감사 모듈을 개발하였다. 새로운 알고리즘을 적용한 결과, Apriori 알고리즘을 적용한 시스템에 비해 CPU 사용시간과 메모리의 사용량에 있어 큰 향상을 보였다.

• 한국환경과학회지
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• 제19권7호
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• pp.819-827
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• 2010

This study was conducted to investigate runoff characteristics of non-point pollutants source at the urban area in boeun area, Chungbuk Province. The monitoring site covering the watershed of $2.11\;km^2$ contains about 40.3 % of total watershed with the urban area. The monitoring was conducted with six events for five months and Event Mean Concentration(EMC) and Site Mean Concentration(SMC) of SS, BOD, CODMn, T-N, T-P were calculated on the result of the water quality parameters. As a result of the comparion between Arithmetic Mean Concentration and Event Mean Concentration, it showed that over all Event Mean Concentration was higher than Arithmetic Mean Concentration. And it showed that SS, BOD, T-P featured the first-flushing effect, showing relatively high concentration in early-stage storm event.