• 정보과학회 논문지
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• 제43권11호
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• pp.1281-1297
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• 2016

최근 스마트 기기의 보급으로 자유롭게 비디오 컨텐츠를 생성하고 이를 빠르고 편리하게 공유할 수 있는 네트워크 환경이 갖추어지면서, 퍼스널 비디오가 급증하고 있다. 그러나, 퍼스널 비디오는 비디오라는 특성 상 멀티 모달리티로 구성되어 있으면서 데이터가 시간의 흐름에 따라 변화하기 때문에 이벤트 분류를 할 때 이에 대한 고려가 필요하다. 본 논문에서는 비디오 내의 멀티 모달리티들로부터 고수준의 특징을 추출하여 시간 순으로 재배열한 것을 바탕으로 모달리티 사이의 연관관계를 Deep Neural Network(DNN)으로 학습하여 퍼스널 비디오 이벤트를 분류하는 방법을 제안한다. 제안하는 방법은 비디오에 내포된 이미지와 오디오를 시간적으로 동기화하여 추출한 후 GoogLeNet과 Multi-Layer Perceptron(MLP)을 이용하여 각각 고수준 정보를 추출한다. 그리고 이들을 비디오에 표현된 시간순으로 재 배열하여 비디오 한 편당 하나의 특징으로 재 생성하고 이를 바탕으로 학습한 DNN을 이용하여 퍼스널 비디오 이벤트를 분류한다.

• Journal of Astronomy and Space Sciences
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• 제21권2호
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• pp.93-100
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• 2004

We have investigated characteristic solar wind dynamics associated with relativistic electron events at geosynchronous orbit. Most of the events for April, 1999 through December, 2002 are found to be accompanied by a prolonged solar quiet period which is characterized as low solar wind density, weak interplanetary magnetic field (IMF), and fast alfvenic fluctuations in IMF $B_z$. In a typical relativistic event, electron fluxes begin to increase by orders of magnitude when solar wind parameters drop to low values (e.g., $n_{sw}∼5 cm^{-3}$ and ｜$B_{IMF}$∼5 nT) after sharp peaks. Then the elevated electron fluxes stay at the high level during the solar quiet period. This observation may suggest the following scenario for the occurrence of a geosynchronous relativistic event: (ⅰ) Quiet solar winds can yield a stable and more dipole-like magnetospheric configurations in which the geosynchronous orbit locates well inside the trapping boundary of the energetic electrons. (ⅱ) If a large population of MeV electrons are generated (by whatever acceleration process(es)) in the inner magnetosphere, they can be trapped and effectively accumulated to a high intensity. (ⅲ) The high electron flux can persist for a number of days in the geosynchronous region as long as the solar wind dynamics stays quiet. Therefore the scenario indicates that the occurrence of a relativistic event would be a result of a delicate balance between the effects of electron acceleration and loss. In addition, the sensitive dependence of a relativistic event on the solar wind conditions makes the prediction of solar wind variability as important as understanding of electron acceleration processes in the forecast of a relativistic event.

• 한국정보과학회논문지:시스템및이론
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• 제29권1호
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• pp.42-56
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• 2002

WHDL이나 Verilog와 같은 기존의 하드웨어 기술 언어(Hardware Description Language)를 이용하여 비동기 마이크로세서를 모델링하고 시뮬레이션을 수행할수 있으나 핸드셰이크 프로토콜 (handshake protocol) 에 의해 동작하는 비동기 마이크로프로세서의 기술이 지나치게 복잡해진다. 결과적으 로 성능 평가 시간이 너무 길어져 상위 수준(system level)에서의 효과적인 설계 공간 탐색에 많은 어려움을 겪는다. 따라서 상위 수준에서 비동기적 특성인 핸드 셰이크 프로토콜을 쉽게 모델링하고 빠른시간 내에 효과적으로 시뮬레이션할수 있는 방법론과 도구가 필요하다. 이런 목적 하에 프로세서 모델링과 시 뮬레이션을 통하여 성능 평가를 수행할수 있는 자동화 도구 SLEDS(System Level Event Driven Simulator)를 개발하였다. 본 도구의 궁극적 목표는 프로세서를 구성하는 모듈들의 지연을 조절하여 (delay balancing)전체적으로 프로세서가 고성능을 얻을수 있도록 최적화 조건을 구하는 것이다. 이와 더불어 정의된 행위를 실제로 수행함으로써 예상한 결과와 실제 결과를 비교하여 설계가 제대로 되었는지 상위 수준에서의 검증을 목표로 한다.

• 대한전기학회논문지:시스템및제어부문D
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• 제49권1호
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• pp.33-40
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• 2000

In this paper, an integrated method for the path planning and motion control of wheeled mobile robots using a hybrid system model and control is presented. The hybrid model including the continuous dynamics and discrete dynamics with the continuous and discrete state vector is derived for a two wheel driven mobile robot. The architecture of the hybrid control system for real time path planning and following is designed which has the 3-layered hierarchical structure : the discrete event system using the digital automata as the higher process, the continuous state system for the wheel velocity controls as the lower process, and the interface system as the interaction process between the continuous system as the low level and the discrete event system as the high level. The reference motion commands for autonomous navigation are generated by the abstracted motion in the discrete event system. The motion control tasks including the feasible path planning and autonomous motion control with various initial conditions are investigated as the applications by the simulation studies.

• 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.

• 한국경영과학회지
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• 제22권3호
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• pp.175-190
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• 1997

Organizational change projects such as Business Process Redisign (BPR) have been perceived to incur high risk due to their high management complexity, enterprise-wide impace, and steep project cost. This research intends to reduce such risk by developing a systematic process redesign methods, called Dynamic Process Modeling (DPM) method. DPM integrates the customer-oriented business process modeling technique with computerized visual simulation technique to promote better understanding of the target process and enable performance simulation of the proposed redesign alternatives prior to actual BPR implementations. For the cusstomer-oriented process modeling, we propose Dynamic-Event Process Chain (Dynamic-EPC) extending from the conceptual customer process model, Event-Process Chain (EPC). We compare DPM with four other implementation-level process modeling methods over eight criteria and demonstrate its effectiveness by applying it to the real-world hospital BPR case.

• 한국안전학회지
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• 제15권1호
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• pp.167-175
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• 2000

Work performance and human error are complicated phenomena so that it is very difficult to grasp the true nature of them. However, Event Related Potential (ERP) may give a clue to them because human brain reflects diverse psychophysiological process. In the present study, the possibility of ERP application to the ergonomic area was evaluated in view of grasping error symptoms. For that purpose, the subjects were asked to count specific characters in a random character matrix on a computer monitor, and their ERP was compared with their performance data. Based upon the results, the amplitude of P300 was not so high as that in the case of the Odd Ball tasks, correct response corresponded with stable ERP with high P300 amplitude whereas wrong response did with unstable, fluctuating ERP with low P300 amplitude. Those results coincided with the work performance, and it was concluded that 3-wave fluorescent with illumination level of 800 lux would be recommendable for the counting task in concern. Conclusively, ERP including P300 might supply an objective clue to the problem of human errors in cognitive process.

• 천문학회보
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• 제46권2호
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• pp.67.2-67.2
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• 2021

We present preliminary results on the chemical and kinematic analysis of accreted and heated metal-rich (-1.0 < [Fe/H] < -0.3) stars in the Galactic disk. These stars are in the ranges of e > 0.7, -100 < V_𝜙 < 100 km/s, and |Z| < 3 kpc, and are presumably heated (accreted) by (from) past merger events such as Gaia Enceladus and Sausage (GSE). These stars are largely separated into two groups based on the level of [α/Fe] and radial velocity dispersion. The first group has low [α/Fe] and high radial velocity dispersion, and the second group shows high [α/Fe] and low radial velocity dispersion. We propose that the first group of stars are accreted from the GSE galaxy, whereas the second group of stars are dynamically heated by the GSE merger event.

• 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.

• 한국멀티미디어학회논문지
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• 제23권10호
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• pp.1270-1285
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• 2020

As a representative concept of the fourth industrial revolution era where everything is digitized, digital twin means analyzing and optimizing a complex system using a simulation model synchronized with the system. In this paper, we propose a digital twin simulation model for the efficient operation of urban railways in Busan. Due to the geopolitical nature of Busan, where there are many mountains and narrow roads, the railways are more useful than other public transportation. However, this inversely results in a high level of congestion, which is an inconvenience to citizens and may be fatal to the spread of the virus, such as COVID19. Considering these characteristics, the proposed model analyzes the congestion level of the railways in Busan. The model is developed based on a mathematical formalism called discrete-event system specification and deduces the congestion level and the average waiting time of passengers depending on the train schedule. In addition, a new schedule to reduce the congestion level is derived through particle swarm optimization, which helps the efficient operation of the railways. Although the model is developed for the railways in Busan, it can also be used for railways in other cities where a high level of congestion is a problem.