• Title/Summary/Keyword: Early Warning

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A Study of the Application of Earthquake Early Warning System for the Enhancements in Protective Action by Korea National Park (국립공원의 지진 대응 체계 개선을 위한 지진 조기경보 시스템의 적용에 관한 연구)

  • Yang, Eomzi;Ha, Seong Jun;Kim, Won Kyung;Yun, Tae Sup
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.3
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    • pp.439-448
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    • 2018
  • Conventional Earthquake Early Warning System (EEWS) detects the propagated P-wave from epicenter which should be achieved within 5 seconds to provide seconds to minutes of warning, allowing people to prepare for protective actions. EEWS in Korea is currently capable of providing a warning within 50 seconds after the primary P-wave detection, however, it is well-known that earthquake warning systems operating around Korean National Parks (KNP) have limited capability to fully monitor earthquake events. This study, therefore, presents a strategy to quantify the potential vulnerability to earthquake hazards by superimposing the distribution of Korea Integrated Seismic System (KISS) and the discretized map of KNP. Total 22 national parks are evaluated, and the results suggest that the improvement of the on-site systems should be necessitated for Gyoengju, Gyeryongsan, Songnisan, Gayasan, and Deogyusan national parks, whereas enhancement of regional systems is required for Bukhansan national park.

A Study on the Monitoring Criteria of Disaster Signs for Early-warning System based on Multiple Hazardous Gas Sensor (복합 유해 가스 센서 기반의 조기 경보 시스템을 위한 재난 전조 감시 기준에 관한 연구)

  • Han, Kyusang;Park, Sosoon;Yoon, En Sup
    • Journal of the Korean Institute of Gas
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    • v.17 no.2
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    • pp.28-35
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    • 2013
  • The number of large and complex buildings is growing and they are usually concentrated in metropolitan cities. There is a possibility in such buildings that a small accident can expand to a massive disaster since their scale and complexity. To deal with this issue, a research on gas sensors which can detect multiple gases and early-warning systems has been conducted. Proper criteria or standards are necessary for effective application and operation of such sensor-based disaster monitoring system. In this study, we have proposed the alarm criteria of concentration of hazardous gases for the detection and the alarm release. For each alarm level, systematic disaster response plans consist of responsive actions and information delivery have been prepared. These disaster monitoring criteria can help the detection of hazardous gas-related disaster in the early stage of accident and the provision of appropriate emergency responses.

Early adjusting damping force for sloped rolling-type seismic isolators based on earthquake early warning information

  • Hsu, Ting-Yu;Huang, Chih-Hua;Wang, Shiang-Jung
    • Earthquakes and Structures
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    • v.20 no.1
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    • pp.39-53
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    • 2021
  • By means of installing sloped rolling-type seismic isolators (SRI), the horizontal acceleration transmitted to the to-be-protected object above can be effectively and significantly reduced under external disturbance. To prevent the maximum horizontal displacement response of SRI from reaching a threshold, designing large and conservative damping force for SRI might be required, which will also enlarge the transmitted acceleration response. In a word, when adopting seismic isolation, minimizing acceleration or displacement responses is always a trade-off. Therefore, this paper proposes that by exploiting the possible information provided by an earthquake early warning system, the damping force applied to SRI which can better control both acceleration and displacement responses might be determined in advance and accordingly adjusted in a semi-active control manner. By using a large number of ground motion records with peak ground acceleration not less than 80 gal, the numerical results present that the maximum horizontal displacement response of SRI is highly correlated with and proportional to some important parameters of input excitations, the velocity pulse energy rate and peak velocity in particular. A control law employing the basic form of hyperbolic tangent function and two objective functions are considered in this study for conceptually developing suitable control algorithms. Compared with the numerical results of simply designing a constant, large damping factor to prevent SRI from pounding, adopting the recommended control algorithms can have more than 60% reduction of acceleration responses in average under the excitations. More importantly, it is effective in reducing acceleration responses under approximately 98% of the excitations.

Financial Distress Prediction Models for Wind Energy SMEs

  • Oh, Nak-Kyo
    • International Journal of Contents
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    • v.10 no.4
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    • pp.75-82
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    • 2014
  • The purpose of this paper was to identify suitable variables for financial distress prediction models and to compare the accuracy of MDA and LA for early warning signals for wind energy companies in Korea. The research methods, discriminant analysis and logit analysis have been widely used. The data set consisted of 15 wind energy SMEs in KOSDAQ with financial statements in 2012 from KIS-Value. We found that five financial ratio variables were statistically significant and the accuracy of MDA was 86%, while that of LA is 100%. The importance of this study is that it demonstrates empirically that financial distress prediction models are applicable to the wind energy industry in Korea as an early warning signs of impending bankruptcy.

Development and Application of Risk Recovery Index using Machine Learning Algorithms (기계학습알고리즘을 이용한 위험회복지수의 개발과 활용)

  • Kim, Sun Woong
    • Journal of Information Technology Applications and Management
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    • v.23 no.4
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    • pp.25-39
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    • 2016
  • Asset prices decline sharply and stock markets collapse when financial crisis happens. Recently we have encountered more frequent financial crises than ever. 1998 currency crisis and 2008 global financial crisis triggered academic researches on early warning systems that aim to detect the symptom of financial crisis in advance. This study proposes a risk recovery index for detection of good opportunities from financial market instability. We use SVM classifier algorithms to separate recovery period from unstable financial market data. Input variables are KOSPI index and V-KOSPI200 index. Our SVM algorithms show highly accurate forecasting results on testing data as well as training data. Risk recovery index is derived from our SVM-trained outputs. We develop a trading system that utilizes the suggested risk recovery index. The trading result records very high profit, that is, its annual return runs to 121%.

Design of Intelligent Insulation Degradation Sensor

  • Kim, Yi-Gon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.3
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    • pp.191-193
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    • 2002
  • Insulation aging diagnosis system provides early warning in regard to electrical equipment defects. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. For solving this problem, many researchers proposed a method that diagnose power plant by using partial discharge. In this paper, we design the intelligent sensor to diagnose insulation degradation state that uses a Microprocessor and Al. Proposed sensor has MCU that is used to diagnose insulation degradation and communicate with main IDD system. And we use a fuzzy model to diagnose insulation degradation.

Real-Time Monitoring and Warning System for Slope Movements Using FBG Sensor. (광섬유격자 센서를 활용한 사면거동 실시간 안전 진단 시스템)

  • 장기태;정경선;김성환;박권제;이원효;김경태;강창국;홍성진
    • Proceedings of the Korean Geotechical Society Conference
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    • 2000.11b
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    • pp.60-76
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    • 2000
  • Early detection in real-time response of slope movements ensures tremendous saving of lives and repair costs from catastrophic disaster Therefore, it is essential to constantly monitor the performance and integrity of slope-stabilizing structures such as Rock bolt, Nail and Pile during or after installation. We developed a novel monitoring system using Fiber Bragg Grating (FBG)sensor. It's advantages are highly sensitivity, small dimension and electro-magnetic immunity. capability of multiplexing, system integrity, remote sensing - these serve real-time health monitoring of the structures. Real-time strain measurement by the signal processing program is shown graphically and it gives a warning sound when the monitored strain state exceeds a given threshold level so that any sign of abnormal disturbance on the spot can be easily perceived.

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Analysis of the Active Volcano Monitoring Program of China (중국의 활화산 모니터링 프로그램에 대한 분석)

  • Yun, Sung-Hyo;Chang, Cheolwoo
    • The Journal of the Petrological Society of Korea
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    • v.25 no.1
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    • pp.95-106
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    • 2016
  • The distribution of active volcanoes in China, overview of an active volcano monitoring of China, monitoring equipment status in China volcano observatory, and Changbaishan volcano observatory and volcano early warning system plan were investigated in this study.

Homeland Defense Radar-Hawaii(HDR-H) for Anti-Ballistic Missile (하와이 배치 탄도미사일 방어용 레이더)

  • Park, Tae-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.258-259
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    • 2018
  • The United States has deployed and operates a ballistic missile defense system to defend the homeland from ballistic missile attacks launched from direct and potential threats. The Missile Defense Agency has deployed the Aegis BMDs, Sea-based X-band radars(SBX), Ground-Based Interceptors(GBI), Early Warning Radars and THAADs. In addition, the Homeland Defense Radar-Hawaii(HDR-H) will be deployed in Hawaii. The HDR-H is expected to improve defensive ability to ballistic missile threats in the Asia-Pacific region.

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Project Risk Management by Early Warning System (조기경보체계를 통한 프로젝트 위험 관리)

  • Lee, Jong-Seok
    • 한국IT서비스학회:학술대회논문집
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    • 2005.11a
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    • pp.400-407
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    • 2005
  • Project의 Quality, Cost, Delivery의 세 가지 목표를 달성하기 위해서는 프로젝트 Risk의 조기 인식 및 대처는 프로젝트 성공의 가장 중요한 요소가 되고 있다 Project Risk는 1)프로젝트의 이해관계자(고객, 협력회사)간의 재무적, 법률적 Risk [수주 Risk]와 2)프로젝트 수행상의 제품공학, 개발환경, 외부제약조건 등의 Risk [수행 Risk]로 나눌 수 있으며, 수주 Risk는 분석 결과가 수행 Risk의 식별, Monitoring에 직접적으로 반영되어야 한다. 프로젝트 수행 Risk는 조기에 식별하고 정량적/정성적 영향을 분석하여 대응계획을 수립하여 지속적으로 Monitoring함으로서 영향을 최소화할 수 있으므로 Risk를 조기 식별하고 경보할 수 있는 시스템(EWS: Early Warning System)의 구축 운영이 반드시 필요하다. 본문에서는 프로젝트 Risk에 대한 분석 및 대웅방안, 프로젝트관리시스템 및 조기경보체계의 표준, 상호간의 관계에 대하여 SK C&C에서 수립하여 적용중인 실증적인 해법을 제시 하고자 한다.

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