• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2000.04a
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• pp.49-54
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• 2000

Korea Institute of Geology Mining and Materials(KIGAM) has been operating Korean Earthquake Monitoring System(KEMS) to archive the real-time data stream and to determine event parameters (epicenter origin time and magnitude)by the automatic processing and analyst review. To do this KEMS uses the Vindel Hue's velocity model which was derived from Wonju KSRS data. Because KIGAM now receives the real-time data from many stations including Wonju KSRS Cholwon seismo-acoustic array Uljin Wolsung Youngkwang Taejon Seoul Kimcheon Taegu etc. the proper velocity model should be established around the Korean peninsula, In this study P were velocity structures was derived from VELEST program using 69 events among the 835 events determined by KEMS in 1999 which were recorded by at least 5 stations. General trend of velocity structure was similar to Sang Jo Kim's model but velocity value was low in crust and high in upper mantle. Due to the sensitivity of inversion results to the initial input model the artificial short and blast data might be added.

• Proceedings of the KSEEG Conference
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• 2000.04a
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• pp.137-138
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• 2000

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.294-295
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• 2008

Korea has excellent IT capability. Adding Information Technology to KPX's experience of Power system operation, KPX is developing KEMS(Korea EMS) through cooperation between industry and the academic world. Monitoring EMS's essential elements is necessary for the EMS functions which are managing massive realtime data. This paper describes the most important and advanced structure of the TRMS(Total Resource Management System) in the process of developing KEMS(Korean Energy Management System).

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2003.03a
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• pp.12-15
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• 2003

Korea Institute of Geoscience and Mineral Resources(KIGAM) is operating Wonju Korea Seismic Research Station(KSRS), 29 regional seismic research stations and 5 Korea-China joint seismic stations in China. Also KIGAM is operating Korea Earthquake Monitoring System (KEMS) to archive the real-time data stream and to determine event parameters (epicenter, origin time, and magnitude) by the automatic processing and analyst review. To do this, KEMS used KIGAM's regional seismic network and other institute's network in a near real-time base. From Dec. 1, 2001 to Nov. 30, 2002, 3,827 seismic events were analyzed in a automatic processing procedure and finally 3,437 events were analyzed by analyst and archived. But problem is this event catalog includes not only natural earthquake, but also artificial events produced by the blast. More than 80 % events were concentrated in daytime and many events were concentrated in the confirmed blast sites, Pyeongyang, Pocheon, Yeongjong-do, Donghae city, etc. Because these artificial events are a major potential cause of error when estimating the seismicity of a specific region, discrimination procedure has to be developed in the first place.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.71-72
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• 2008

한국형 에너지관리 시스템 개발 사업은 전력거래소에서 사용하는 현 EMS 설비의 교체수명 주기가 다가오게 되어 새로운 EMS 설비를 순수 국내 전력IT 기술을 통해 개발하는 총 개발기간 5년의 대규모 국가 프로젝트이다. 본 논문에서는 현 Baseline 단계에서의 KEMS 개발내용을 소개하고 기능개발과 관리, 어플리케이션의 통합 및 검증기법 등에 대해 소개하고자 한다.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2000.10a
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• pp.49-56
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• 2000

Instrumental observation of earth quakes in KIGAM was first attempted in the earty 1980`s by using 6 portable seismographs in the vicinity of Yang-San Faults. Now twenty-four permanent stations, which are equipped with short-period or broad-band seismometer, are included in seismic research network in KIGAM, including KSRS array station in Wonju which is consisted of 26 bore-hole stations. The seismic network of KIGAM is also linked to that of KEPRI(Korea Electric Power Research Institute)which is consisted of eight stations installed within and around the nuclear power plants. Owing to real-time data acquisition by telemetry, it became feasible to automatically locate hypocenters of the local events within fifteen minutes by computer data processing system, named KEMS(Korea Earthquake Monitoring System). Results of the hypocenter determination, together with observational data, are compiled and stored in the data base system. And they are published via web site whose URL is http://quake.kigam.re.kr KIGAM is also running t재 permanent geomagnetic stations installed in Daejun and Kyungju. The observed geomagnetic data are transmitted to Earthquake Research Centre in KIGAM by seismic network and compiled for the purpose of earthquake prediction research and other basic geophysical research.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.66_67
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• 2009

전력거래소는 전력IT 국가전략과제 중 하나인 한국형 에너지관리 시스템(Korean Energy Management System)개발[1]의 총괄을 담당하고 있으며, KEMS의 각 개발단계인 Baseline, Prototype, Fullscale에서의 단위, 실증, 통합 등의 모든 시험을 주관한다. KEMS는 세부 5개 과제의 여러 산학연 기관들이 참여하는 대규모 프로젝트로 통합된 시스템의 시험관리가 매우 중요하다. 전력거래소에서 사용하는 통합시험관리시스템(Total Project Administration System)은 KEMS의 이러한 통합된 시험관리를 웹에서 가능하도록 해주는 시스템으로, 시험 진행 중 발생되는 Variance를 발행하고, 그에 대한 보완계획을 입력하고 해결여부를 추적하는 것이 주된 기능이다. 이 논문에서는 현재 버전 2.0까지 개발되어 사용되고 있는 TOPAS시스템과 KEMS개발에서의 시험관리 방법 등에 대하여 살펴보고자 한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.40_41
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• 2009

본 논문은 한국형 에너지 관리 시스템(Korean Energy Management System)의 프로토타입 네트웍 어플리케이션 개발을 위한 데이터 베이스 구축에 대해 요약하였다. 본 논문에서는 두가지 측면에 집중하였다. 첫째, 각 어플리케이션 프로그램의 연산에 필요한 데이터를 추출하였다. 몇 가지 네트웍 어플리케이션 프로그램이 기저 모델로 선택되었으며 각 기저 모델에 필요한 데이터가 추출되었다. 둘째, 국내 실정에 적합한 전력계통의 토폴로지 구조 및 설비 모델에 대한 공통 모델이 구축되었다. 본 논문에서는 KEMS 너트웍 어플리케이션 프로그램에 공통으로 적용될 어플리케이션 공통 모델(application common model, ACM)을 제시하였다. 공통 모델은 계층적 비계층적 전력계통 구조를 포함하며 직간접의 데이터 링크를 이용하여 연관관계가 정의되었다. 제안한 데이터베이스 모델은 국내 전계통 데이터를 이용하여 시험되었으며 실시간 SCADA 데이터가 시험을 위해 사용되었다. 시험을 통해 제안한 데이터베이스 구조가 한국형 에너지 관리 시스템에 효과적으로 적용될 수 있음을 입증하였다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.414-415
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• 2007

AGC (Automatic Generation Control) is supplementary tool for area frequency control in EMS(Energy Management System). This pater addresses the key features of AGC function in KEMS which is under development.

• Survey Research
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• v.18 no.2
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• pp.67-98
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• 2017

The purposes of this study are to identify the latent classes of school violence depending on bullying and victimized experience by type and the influences of individual-level and school-level variables on determining these latent profiles. For these research goals, the present study utilized data from the Seoul Education Longitudinal Study(SELS) 5th wave, containing data from 2,195 middle school students who experienced school violences more than once. Multilevel latent profile models were applied to examine school violence among students. Our results indicated that there were four latent classes; high-level bullying and victimized group (1.7%), mainly bullying group(2.1%), mainly victimized group(3.7%), verbal bullying and victimized group(92.5%). Gender, resilience, self-control, peer relationship, parental relationship were significant determinants of the latent profiles at student level. Teacher-student relationships, school violence prevention, gender ratio of school were significant determinants of the latent profiles at school level. The present study contributed to extending theoretical discussions by classifying students into groups based on frequency and different forms of bullying and victimization. Moreover, this study examined determinants of student and school level simultaneously by dealing with multilevel data.