• Title/Summary/Keyword: Events

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Artificial blasts discrimination by using seismo-acoustic data in 2002 (지진-공중음과 자료를 이용한 2002천도 인공발파 식별)

  • 제일영;전정수;이희일;신인철
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2003.03a
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    • pp.38-44
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    • 2003
  • Artificial blasts, defined as seismo-acoustic events, were discriminated from natural earthquakes in the Korean Peninsula by the seismo-acoustic analysis. Total 197 seismo-acoustic events corresponding to 9 percent of seismic events in 2002 were analyzed and classified as artificial surface blasts. Events distribution pattern of the seismo-acoustic events in 2002 was similar to the previous result in 1999-2001, except for two regions. Newly determined seismo-acoustic events were added to the previous artificial blast database. To extend infrasound detection capability, new small-scale infrasound array(TJIAR) was installed in KIGAM. Preliminary analysis for the small array was conducted to discriminate artificial blasts in the southwestern part of the Korean Peninsula. The small array discriminated S seismo-acoustic events during short period analysis. And two infrasound arrays(TJIAR and CHNAR) were used to determine approximate sound source location by cross bearing method.

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Characteristics of local events occured in and around the Korean Peninsula in 2002 (한반도 일원에서 발생한 Event 특성)

  • 전정수;제일영;지헌철;박윤경
    • 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.

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Hazardous Events and Causes for Train Collision and Derailment (열차 충돌/탈선사고의 위험사건 정의 및 원인 분류)

  • Park, Joo-Nam;Wang, Jong-Bae;Park, Chan-Woo;Kwak, Sang-Log
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1174-1179
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    • 2007
  • Train collision and derailment are types of accident that happen with low probability of occurrence but could lead to disastrous consequences including multiple life losses. Risk assessment of the accidents are typically performed per their hazardous events, which are defined as events that cause accidents. This study classifies the train collision and derailment based on the relevant hazardous event, and investigates the causes related to the hazardous events. Finally, the relation of the causes, hazardous events, and the accidents are defined.

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Identification of Fire Modeling Issues Based on an Analysis of Real Events from the OECD FIRE Database

  • Hermann, Dominik
    • Nuclear Engineering and Technology
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    • v.49 no.2
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    • pp.342-348
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    • 2017
  • Precursor analysis is widely used in the nuclear industry to judge the significance of events relevant to safety. However, in case of events that may damage equipment through effects that are not ordinary functional dependencies, the analysis may not always fully appreciate the potential for further evolution of the event. For fires, which are one class of such events, this paper discusses modelling challenges that need to be overcome when performing a probabilistic precursor analysis. The events used to analyze are selected from the Organisation for Economic Cooperation and Development (OECD) Fire Incidents Records Exchange (FIRE) Database.

Research Trends on External Event Identification and Screening Methods for Safety Assessment of Nuclear Power Plant (원자력발전소 안전성 평가를 위한 외부사건 식별 및 선별 방법 연구동향)

  • Kim, Dongchang;Kwag, Shinyoung;Kim, Jitae;Eem, Seunghyun
    • Journal of the Society of Disaster Information
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    • v.18 no.2
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    • pp.252-260
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    • 2022
  • Purpose: As the intensity and frequency of natural hazards are increasing due to climate change, external events that affecting nuclear power plants(NPPs) may increase. NPPs must be protected from external events such as natural hazards and human-induced hazards. External events that may occur in NPPs should be identified, and external events that may affect NPPs should be identified. This study introduces the methodology of identification and screening methods for external events by literature review. Method: The literature survey was conducted on the identification and screening methods of external events for probabilistic safety assessment of NPPs. In addition, the regulations on the identification and screening of external events were investigated. Result: In order to minimize the cost of external event impact analysis of nuclear power plants, research on identifying and screening external events is being conducted. In general, in the identification process, all events that can occur at the NPPs are identified. In the screening process, external events are selected based on qualitative and quantitative criteria in most studies. Conclusions: The process of identifying and screening external events affecting NPPs is becoming important. This paper, summarize on how to identify and screen external events for a probabilistic safety assessment of NPPs. It is judged that research on bounding analysis and conservative analysis methods performed in the quantitative screening process of external events is necessary.

Automatic Recognition of Pitch Accents Using Time-Delay Recurrent Neural Network (시간지연 회귀 신경회로망을 이용한 피치 악센트 인식)

  • Kim, Sung-Suk;Kim, Chul;Lee, Wan-Joo
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.4E
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    • pp.112-119
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    • 2004
  • This paper presents a method for the automatic recognition of pitch accents with no prior knowledge about the phonetic content of the signal (no knowledge of word or phoneme boundaries or of phoneme labels). The recognition algorithm used in this paper is a time-delay recurrent neural network (TDRNN). A TDRNN is a neural network classier with two different representations of dynamic context: delayed input nodes allow the representation of an explicit trajectory F0(t), while recurrent nodes provide long-term context information that can be used to normalize the input F0 trajectory. Performance of the TDRNN is compared to the performance of a MLP (multi-layer perceptron) and an HMM (Hidden Markov Model) on the same task. The TDRNN shows the correct recognition of $91.9{\%}\;of\;pitch\;events\;and\;91.0{\%}$ of pitch non-events, for an average accuracy of $91.5{\%}$ over both pitch events and non-events. The MLP with contextual input exhibits $85.8{\%},\;85.5{\%},\;and\;85.6{\%}$ recognition accuracy respectively, while the HMM shows the correct recognition of $36.8{\%}\;of\;pitch\;events\;and\;87.3{\%}$ of pitch non-events, for an average accuracy of $62.2{\%}$ over both pitch events and non-events. These results suggest that the TDRNN architecture is useful for the automatic recognition of pitch accents.

Detection of planetary signals in extremely weak central perturbation microlensing events via next-generation ground-based surveys

  • Chung, Sun-Ju;Lee, Chung-Uk
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.72.1-72.1
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    • 2013
  • Even though current microlensing follow-up observations focus on high-magnification events due to the high efficiency of planet detection, it is very difficult to do a confident detection of planets in high-magnification events with extremely weak central perturbations (i.e., the fractional deviation is ${\delta}{\leq}0.02$). For the confident detection of planets in the extremely weak central perturbation events, it is needed both the high cadence monitoring and the high photometric accuracy. A next-generation ground-based observation project, KMTNet (Korea Microlensing Telescope Network), satisfies both the conditions. Here we investigate how well planets in high-magnification events with extremely weak central perturbations are detected by KMTNet. First, we determine the probability of occurrence of events with ${\delta}{\leq}0.02$. From this, we find that for ${\leq}100M_E$ planets in the separation of $0.2AU{\leq}d{\leq}20AU$, events with ${\delta}{\leq}0.02$ occur with a frequency of more than 70%, in which d is the projected planet-star separation. Second, we estimate the efficiency of detecting planetary signals in the events with ${\delta}{\leq}0.02$ via KMTNet. We find that for main-sequence and subgiant source stars, ${\geq}1M_E$ planets can be detected more than 50% in a certain range that has the efficiency of ${\geq}10%$ and changes with the planet mass.

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IDENTIFICATION OF HUMAN-INDUCED INITIATING EVENTS IN THE LOW POWER AND SHUTDOWN OPERATION USING THE COMMISSION ERROR SEARCH AND ASSESSMENT METHOD

  • KIM, YONGCHAN;KIM, JONGHYUN
    • Nuclear Engineering and Technology
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    • v.47 no.2
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    • pp.187-195
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    • 2015
  • Human-induced initiating events, also called Category B actions in human reliability analysis, are operator actions that may lead directly to initiating events. Most conventional probabilistic safety analyses typically assume that the frequency of initiating events also includes the probability of human-induced initiating events. However, some regulatory documents require Category B actions to be specifically analyzed and quantified in probabilistic safety analysis. An explicit modeling of Category B actions could also potentially lead to important insights into human performance in terms of safety. However, there is no standard procedure to identify Category B actions. This paper describes a systematic procedure to identify Category B actions for low power and shutdown conditions. The procedure includes several steps to determine operator actions that may lead to initiating events in the low power and shutdown stages. These steps are the selection of initiating events, the selection of systems or components, the screening of unlikely operating actions, and the quantification of initiating events. The procedure also provides the detailed instruction for each step, such as operator's action, information required, screening rules, and the outputs. Finally, the applicability of the suggested approach is also investigated by application to a plant example.

Mediating Effect of Mindfulness between Stressful Life Events and Depression in Nursing Students (간호대학생의 생활스트레스와 우울의 관계에서 마음챙김의 매개효과)

  • Song, Yeoungsuk
    • Journal of Korean Public Health Nursing
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    • v.31 no.3
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    • pp.518-527
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    • 2017
  • Purpose: This study examined the relationship among stressful life events, mindfulness and depression, and explored the mediating role of mindfulness between stressful life events and depression in nursing students. Methods: A cross-sectional survey was undertaken. A sample of 120 nursing students participated in the study. The self-reported measures of stressful life events (revised life stress scale), depression (DASS-D) and mindfulness (MAAS) were adopted in April, 2017. The data were analyzed using descriptive statistics, frequency, Pearson correlation coefficient and multiple regression. Mediation analysis was performed using the Baron & Kenny method and Sobel test. Results: The mean scores of stressful life events, mindfulness and depression were 39.50, 77.03, and 8.18, respectively. Higher levels of stressful life events were associated with lower mindfulness (r = -46, p < .001) and higher depression (r = -44, p < .001), and mindfulness was negatively associated with depression (r = -72, p < .001). Mindfulness showed full mediation in the relationship between stressful life events and depression. Conclusion: Stressful life events influenced the nursing students' depression via the full mediating effect of mindfulness. Promoting mindfulness plays an important role in reducing depression in nursing students. Therefore, it is important to develop a mindfulness program or use a mindfulness-based stress reduction program (MBSR) for nursing students.

The types and roles of domestic events by luxury jewelry brands analyzed based on articles during the period of 1990~2013 (1990~2013년 기사로 분석한 럭셔리 주얼리 브랜드의 국내 이벤트 유형 및 역할)

  • Hong, Jiyoun;Hong, Nayoung
    • The Research Journal of the Costume Culture
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    • v.22 no.5
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    • pp.862-872
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    • 2014
  • Global luxury jewelry brands had begun to launch their direct businesses in Korea since the 1990s, and have attained fast growth by holding events reflecting their philosophies. The purpose of this study was to analyze the background of their growth by examining the types and roles of events in Korea held by luxury jewelry brands. For the research method, the quantitative and qualitative analysis were performed about domestic events of Tiffany & Co., Cartier, Bvlgari, Chaumet, and Van Cleef & Arples during the period from 1990 to 2013. Also, theoretical study was reviewed. The results are as follows. The events are largely classified into jewelry exhibitions, jewelry shows, wedding fairs, and hybrids. The roles of such events were, first, the artification of products and, second, the contemporization of traditions. According to the findings of this study, luxury jewelry brands transmitted new emotions and values to their customers through their events in Korea, and extended their influence continuously over the Korean high-end jewelry market.