• 터널과지하공간
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• 제26권2호
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• pp.87-99
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• 2016

본 연구에서는 지하광산 트럭-로더 운반시스템의 이산 사건 시뮬레이션을 수행할 수 있는 Windows용 프로그램을 개발하였다. 강원도 삼척시에 위치한 대성엠디아이 석회석 광산을 연구지역으로 선정하여 프로그램을 설계하였다. 개발된 프로그램은 Visual Basic.NET 2012로 구현된 그래픽 사용자 인터페이스와 GPSS/H 시뮬레이션 언어로 구현된 시뮬레이션 엔진으로 구성되어 있다. 사용자가 그래픽 사용자 인터페이스를 통해 시뮬레이션을 위한 입력 인자 값들을 설정하면, 프로그램은 시뮬레이션 엔진을 가동시키며, 시뮬레이션이 완료되면 그 결과는 다시 그래픽 사용자 인터페이스를 통해 화면에 출력된다. 본 논문에서는 프로그램 개발과 관련한 세부적인 사항과 함께 서로 다른 운영조건에서 각각의 적재 지점에 배차해야하는 최적의 트럭의 수를 결정하기 위해 프로그램을 연구지역에 적용한 결과를 제시한다.

• 천문학회보
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• 제43권2호
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• pp.31.3-31.3
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• 2018

On August 17th 2017, for the first time in the history, the gravitational wave (GW) detectors recorded signals coming from the merger of two neutron stars. This event was named as GW170817, and more interestingly, gamma-ray emission was detected 2 seconds after the gravitational wave signal, and 11 hours later, telescopes in Chile identified that the GW signal came from the NGC 4993 galaxy at the distance of about 40 Mpc. This is again the first time that electromagnetic (EM) signals are detected for a GW source. The follow-up observations by astronomers all around the world, including our group in Korea, successfully identified the optical emission as the kilonova, the elusive optical/NIR counterpart that has been proposed to originate from a neutron star merger. This whole event started the new era of astronomy, so-called the "multi-messenger astronomy", where the combined information from GW and EM radiation reveals an unprecedented view of the universe. In this talk, I summarize this exciting event, and describe the efforts by Korean astronomers that have led to important discoveries about the kilonova and the host galaxy properties, and finally provide the future prospects.

• 천문학회보
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• 제42권2호
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• pp.61.2-61.2
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• 2017

We report a fine scale transient brightening event near a pore boundary with the Fast Imaging Solar Spectrograph (FISS) of the 1.6m Goode Solar Telescope (GST), the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamics Observatory (SDO), and Helioseismic and Magnetic Imager (HMI) aboard SDO. The event appears in all AIA extreme ultraviolet bands, also in the two FISS lines, $H{\alpha}$ and Ca II $8542{\AA}$, and lasted for a minute. The brightening occurred at a footpoint of a loop. The conjugate brightening occurred at the other foot point outside the FISS field of view. The brightening near the pore exhibit a redshift of 4.3 km s-1 in the $H{\alpha}$ and about 2.3 km s-1 in Ca II line. Differential emission measure derived from 6 AIA EUV passbands and cloud model fitting of the two FISS lines indicate the temperature increase of between 10,000 and 20 MK at the main event. After the brightening, the upward mass motion appears in the AIA images. We discuss the physical implication of this brightening in the context of magnetic reconnection and coronal heating.

• 응용통계연구
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• 제25권4호
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• pp.621-632
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• 2012

Recurrent event data can be easily found in longitudinal studies such as clinical trials, reliability fields, and the social sciences; however, there are a few observations that disappear temporarily in sight during the follow-up and then suddenly reappear without notice like the Young Traffic Offenders Program(YTOP) data collected by Farmer et al. (2000). In this article we focused on inference for a cumulative mean function of the recurrent event data with these incomplete observation gaps. Defining a corresponding risk set would be easily accomplished if we know the exact intervals where the observation gaps occur. However, when they are incomplete (if their starting times are known but their terminating times are unknown) we need to estimate a distribution function for the terminating times of the observation gaps. To accomplish this, we treated them as interval-censored and then estimated their distribution using the EM algorithm proposed by Turnbull (1976). We proposed a nonparametric estimator for the cumulative mean function and also a nonparametric test to compare the cumulative mean functions of two groups. Through simulation we investigated the finite-sample performance of the proposed estimator and proposed test. Finally, we applied the proposed methods to YTOP data.

• 한국정밀공학회지
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• 제22권3호
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• pp.170-178
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• 2005

The purpose of this study is to develop a gait-event detection system, which is necessary for the cycle-to-cycle FES control of locomotion. Proposed gait event detection system consists of a signal measurement part and gait event detection part. The signal measurement was composed of the sensors and the LabVIEW program for the data acquisition and synchronization of the sensor signals. We also used a video camera and a motion capture system to get the reference gait events. Machine learning technique with ANN (artificial neural network) was adopted for automatic detection of gait events. 2 cycles of reference gait events were used as the teacher signals for ANN training and the remnants ($2\sim5$ cycles) were used fur the evaluation of the performance in gait-event detection. 14 combinations of sensor signals were used in the training and evaluation of ANN to examine the relationship between the number of sensors and the gait-event detection performance. The best combinations with minimum errors of event-detection time were 1) goniometer, foot-switch and 2) goniometer, foot-switch, accelerometer x(anterior-posterior) component. It is expected that the result of this study will be useful in the design of cycle-to-cycle FES controller.

• 한국압력기기공학회 논문집
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• 제5권2호
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• pp.35-39
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• 2009

In this study, Event Type Analysis System (ETAS) is developed for the accident evaluation in nuclear power plant. The ETAS system can be used in supporting regulator and/or operator under event situation in nuclear power plants. The ETAS system can categorize the all transient events to 3 categories such as Down-2000, Down-2173, and Slow Fluctuation. We develop the program structure for ETAS system and web-based ETAS system. The ETAS system will be used as sub module of Knowledge-Based Event Evaluation Network (K-EvENT) which is developing for the against the accident in nuclear power plants.

• 한국컴퓨터정보학회논문지
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• 제20권8호
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• pp.35-43
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• 2015

Recently, internal information leaks is increasing rapidly by internal employees and authorized outsourcing personnel. In this paper, we propose a method to integrate internal control systems like system access control system and Digital Rights Managements and so on through expansion model of SIEM(Security Information Event Management system). this model performs a analysis step of security event link type and validation process. It develops unit scenarios to react illegal acts for personal information processing system and acts to bypass the internal security system through 5W1H view. It has a feature that derives systematic integration scenarios by integrating unit scenarios. we integrated internal control systems like access control system and Digital Rights Managements and so on through expansion model of Security Information Event Management system to defend leakage of internal information and customer information. We compared existing defense system with the case of the expansion model construction. It shows that expanding SIEM was more effectively.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2003년도 춘계 학술발표회논문집
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• pp.118-125
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• 2003

Seismic damage assessment program for containment structure is developed. The program has been established through the combination of inelastic seismic analysis program and 3-D animation program. Damage indices at finite element level and structural level have been introduced for the seismic damage assessment. The seismic damage assessment program makes it possible to analyze in real-time the actual resistance capacity and damage level of containment structure. It will be expected that the program enables to establish the measures more quickly under the earthquake event.

• 한국정보과학회논문지:소프트웨어및응용
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• 제27권2호
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• pp.108-119
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• 2000

병렬 프로그램 테스팅을 위한 기존의 연구는 대부분 프로그램 수행 중에 얻어진 이벤트 트레이스(event trace)를 바탕으로 재수행성을 보장하는데 중점을 두고 있다. 반면에 개발과정에서 만들어진 요구/설계 명세로부터 테스팅을 위한 이벤트 시퀀스를 생성하는 방법에 대한 연구는 빈약한 실정이다. 이 논문에서는 통신 소프트웨어 개발 분야에서 광범위하게 사용되는 메시지 순차도(MSC)로부터 병렬 프로그램의 모듈 테스팅을 위한 이벤트 시퀀스를 생성하는 방법을 제시한다. 명세로부터 이벤트 시퀀스를 생성하기 위해서는 명세 내에 묵시적으로 포함되어 있는 이벤트들과 그들 간의 선후관계를 파악해야 한다. 이를 위해서 이 연구에서는 프로그램 수행 중에 이벤트들의 발생 순서를 결정하기 위해 사용해오던 논리시간 벡터(logical time stamp)를 MSC 명세에 적용함으로써 이벤트 간의 선후관계를 추출한다. 또한 이를 바탕으로 이벤트 시퀀스를 자동 생성하는 방법을 제시하고 전화 통화 예제를 사용해서 제시한 방법의 효용성을 보인다.

• 한국식생활문화학회지
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• 제30권1호
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• pp.29-40
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• 2015

This study analyzed purchasing characteristics of local agricultural products and processed products as well as evaluated operation programs for Changnyeon festival participants. The purchasing rates of local agricultural products and processed products at this festival were 63.6% and 49.1%, respectively, and the main purchased crops were onion (42.6%) and garlic (20.7%). Drinks (43.6%) were highly purchased processed products. The recognition (95.3%) and preferences (98.4%) for Changyeong local agricultural products were high at this festival. Subjects (72.5%) responded that public relations were effective for sale at this festival, and evaluation of the operation program for the festival was $3.51{\pm}0.74$ (total score 5 points). Satisfaction with the experience event (37.7%) and exhibition event (33.6%) were high at this festival program, whereas participants gave low rates for art exhibition and sale events of local agricultural products (16.2%), cooking education (14.7%), direct education program (12.9%), and games (12.1%). This festival was an effective means of public relations, although purchase effects were not significant. This result suggests that the festival is necessary for planning a program to increase purchasing.