• Title/Summary/Keyword: 전조 현상

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A Study on the discomfortable feeling's appraisals of driver for the instant brightness fluctuation of the Vehicle's Headlamps (2) Appraisals and analysis with age (전조등의 순간적 밝기 변동에 대한 운전자의 불쾌감 평가 연구 (2) 20대/60대에 대한 불쾌감 평가 및 분석)

  • Lee, Chang-Mo;Kim, Hyun-Ji;Min, Jea-Woong;Kim, Hoon
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2008.05a
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    • pp.186-188
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    • 2008
  • 자동차에 탑재된 부하 특히, 여름의 에어컨 사용과 같이 큰 부하가 걸릴 경우와 같이 차량내 전기적 부하의 변동이 발생하게 된다. 이러한 부하의 변동이 할로켄 램프를 사용하고 있는 전조등의 밝기를 변화시킨다. 이러한 밝기의 변동은 운전자가 인식할 수 있는 정도가 되며, 그로인해 운전자는 심리적으로 불쾌함을 느낄 것이다. 그러므로 차량 전조등의 밝기변화 패턴에 영향을 미치는 전조등의 전압과 시간을 변수로 하여, 순간적으로 밝기변동이 발생하였을 경우, 연령대별(20/60대)로 운전자가 느끼는 심리적인 반응(불쾌감)이 어떠한 경향을 갖는지를 파악하는 것이 중요하다. 따라서 본 논문에서는 밝기변동 요소가 되는 전압변동 범위 ${\Delta}V$와 전압변동 시간 ${\Delta}t$로 순간적으로 전조등의 밝기가 변동하였을 때, 이러한 현상이 운전자의 심리적인 반응에 어떠한 영향을 미치는가를 20대와 60대를 대상으로 평가하였다. 이 결과 각각의 전압패턴에 따라 불쾌감이 다르게 나타났으며, 또한 20대와 60대가 전압패턴에 대해 경향을 유사하였으나, 평가치에 대해서는 상당한 차이를 보였다.

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Cognitive characteristics of artificial intelligence techniques for searching and interpreting disaster information (재난 정보 검색 및 해석을 위한 인공지능 기법의 인지 특성)

  • SeokHwan Hwang;Jeongha Lee;Byoung-Hwa Oh
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.450-450
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    • 2023
  • 인공지능 기법의 급격한 발달에 따라 다양한 분야에서 인공지능 기법을 활용하기 위한 노력이 이루어지고 있다. 재난은 발생하기 전에 다양한 전조 현상을 나타내나 수많은 정보 속에서 전조 증상을 정확히 인지하는 것은 매우 어렵다. 따라서 인공지능은 방대한 사전 정보의 해석을 통해 재난 발생의 전조를 신속 정확하게 감지하는데 최적의 기술이다. 최근 OpenAI의 딥러닝 기반의 언어모델인 GPT(Generative Pre-trained Transformer)의 성능이 기대 이상을 나타내면서 많은 분야에서 GPT에 대한 관심과 실험이 시작되고 있다. 본 실험에서는 GPT를 이용하여 재난 검색 및 해석의 특징을 검토하여 보았다. 정확한 재난 기록은 정확한 재난 예측을 위해 반드시 필요한 자료이나 부정확한 재난 기록은 그 기록이 비록 방대하더라도 오히려 예측의 신뢰도를 크게 떨어뜨린 수 있다. 따라서 비지도학습 기반의 대화형 인공지능을 재난 검색에 활용하기 위해서는 인공지능 기법의 인지 특성을 반드시 가늠해 봐야 한다. 향후 보다 많은 연구자가 이에 관심을 가진다면 보다 정확한 인공지능 기반의 재난 탐지 기술의 개발이 가능할 것으로 기대된다.

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Literature Review on the relation between Animals Unusual Behavior and Premonitory Symptoms of an Earthquake (동물 이상행동과 지진전조 가설검증 연구동향 및 한계점)

  • Lee, Sohee;Park, Youngjin
    • Journal of the Society of Disaster Information
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    • v.13 no.1
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    • pp.89-95
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    • 2017
  • The cases of animals unusual behavior have been reported occasionally before a major disaster occurs. Could animals unusual behavior associated with a major disaster occurrence, if so, could we foreknow a disaster occurrence? The purpose of study is to quest an answer through literature reviews on the relation between animals unusual behavior and premonitory symptoms of an earthquake. These empirical studies are classified three parts according as methodological framework; statistical analysis, experimental analysis, observation analysis. The results are simply divided as two, 'animals unusual behavior may be seen as a precursor of pre-disaster phenomena' and 'difficult to see.' A number of studies have been performed abroad, however there is no one in Korea. Most of the studies point out common limitations-difficult to verify the reliability of data, accidentally get and fewer samples of data, difficulty of ensuring appropriate data, etc. That is why more related research with animals unusual behavior and disaster occurrence is needed to validate cause-and-effect relation of animal unusual behavior and pre-disaster phenomena.

A Study about Transitional Modulations in Jazz Music (재즈 음악내의 일시적 전조에 관한 연구)

  • Kim, Jung-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.518-528
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    • 2016
  • It seems like many songs have the tonality of one key in jazz standards, but there are many cases in which more than one new key could be formed, despite being a short moment. Moreover, some songs contain keys of temporary changes many times in the event that keys are changed transitionally with the sequencing of cords many times, which is called 'Transitional Modulation with Sequences. The proceeding II-V-I of the major and minor keys are used as the sequencing of cords, and the most popular type in this sequencing pattern is the downward modulation in whole-steps or half-steps. The downward modulation in the interval of whole-steps is a useful technique; for example, there should be three compositions in the adjacency circumstances when it is used twice. We could express effectively a phenomenon that feelings go up to the climax and rapidly fall down. The downward modulation in half-steps must be more dramatic because a higher comparative aspect is made between the adjacent two keys.

Radon factor analysis for earthquake monitoring and prediction in Pohang area (포항지역 중심 지진 모니터링과 예측을 위한 라돈인자 분석)

  • Lee, Jae-Kyoung;Yoon, Tae-Heui
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.383-383
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    • 2022
  • 기존 큰 지진을 대상으로 한 많은 연구결과들을 살펴보면, 큰 지진이 발생하기 전에 토양 속에 존재하는 다양한 인자들 중에 라돈(222Rn, 반감기=3.82일) 농도가 비정상적으로 증가하는 현상을 나타낸다. 이러한 결과들은 라돈발생의 경향성을 분석한다면, 지진발생에 대한 전조증상이나 예측이 가능함을 나타낸다. 본 연구에서는 포항지역을 중심으로 지진발생에 대한 전조증상이나 모니터링을 분석하기 위해 지하수 관측소에 설치된 라돈 관측기기에서 라돈 관측자료를 수집하고 이를 활용하는 연구를 수행하였다. 라돈 관측자료 기간은 2019년 11월부터 2020년 9월까지의 자료이며, 라돈인자 뿐만 아니라 지하수위, 강수량, 수온인자를 같이 분석하였으며, 동일기간 동안 발생한 진도 2 이상의 지진사례 6개(E1(ML 3.5): 2019.12.30.; E2(ML 3.2): 2020.01.30.; E3(ML 2.4): 2020.02.09.; E4(ML 2.7): 2020.02.16.; E5(ML 2.8): 2020.05.27.; E6(ML 2.1): 2020.09.22.)를 대상으로 하였다. 지진발생의 전조증상이 나타나는 지역을 분석하기 위해 Dobrovolsky radius values (Dobrovolsky et al., 1979)와 Harversine 관계식을 적용하였다. 적용결과, 시간적 분석에서 라돈의 증감 경향성이 지진발생의 전조증상과 유의미한 상관성이 있음을 확인하였으며, 공간적인 분석에서도 유의미하지는 않으나 상관성이 나타났다. 그 외 지하수위는 상관성이 어느 정도 나타났으나 강수량은 유의미한 결과를 나타내지는 않았다. 따라서 라돈을 활용한다면 지진발생의 전조증상을 시공간적으로 파악할 수 있음을 확인하였다.

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The Analysis of the APT Prelude by Big Data Analytics (빅데이터 분석을 통한 APT공격 전조 현상 분석)

  • Choi, Chan-young;Park, Dea-woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1129-1135
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    • 2016
  • The NH-NongHyup network and servers were paralyzed in 2011, in the 2013 3.20 cyber attack happened and classified documents of Korea Hydro & Nuclear Power Co. Ltd were leaked on december in 2015. All of them were conducted by a foreign country. These attacks were planned for a long time compared to the script kids attacks and the techniques used were very complex and sophisticated. However, no successful solution has been implemented to defend an APT attacks(Advanced Persistent Threat Attacks) thus far. We will use big data analytics to analyze whether or not APT attacks has occurred. This research is based on the data collected through ISAC monitoring among 3 hierarchical Korean Defense System. First, we will introduce related research about big data analytics and machine learning. Then, we design two big data analytics models to detect an APT attacks. Lastly, we will present an effective response method to address a detected APT attacks.

A Study on Temporal Variations of Geomagnetic Transfer Functions and Polarization Values Obtained at Cheongyang Geomagnetic Observatory (청양 지자기관측소에서 획득된 지자기전달함수와 분극값의 시간변동성에 대한 연구)

  • Yang, Jun-Mo;Lee, Heui-Soon;Oh, Seok-Hoon
    • Journal of the Korean earth science society
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    • v.30 no.7
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    • pp.824-833
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    • 2009
  • We analyzed a total of six months of geomagnetic data obtained at Cheonyang observatory, which is operated by Korean Meteorological Administration, to monitor earthquake precursors. Geomagnetic transfer functions (GTFs) and polarization values, which reflect the time-variations of the resistivity of subsurface, were estimated from 3-component geomagnetic data. The time-variant fluctuations were compared with the earthquake events occurred in the same period. Now that the daily GTFs show fairly irregular variations, we can not identify any correlation with the already occurred earthquakes and Kp index. On the other hand, we detect clear increases of the Ultra-Low-Frequency (ULF) band polarization values before the earthquakes, but the similar features are also observed even though the earthquake did not occur. This result may indicate that these time-variations are not just due to the earthquake precursor. For further understanding about these results, we need to investigate the relationship between the previous earthquake events and the geomagnetic data of other observatories.

The 2014 Eruption and Precursors of Ontake Volcano, Japan (일본 온타케 화산의 2014년 분화와 전조현상)

  • Yun, Sung-Hyo;Lee, Jeong-Hyun;Chang, Cheol-Woo
    • The Journal of the Petrological Society of Korea
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    • v.23 no.4
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    • pp.405-418
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    • 2014
  • Ontake Volcano, Japan, began to erupt without any precursors on September 27, 2014, at 11:52 AM, and it caused many losses of life. Although Japan's preparation manual and prevention for volcanic eruptions and volcanic hazards has been well established, it could not prevent damage due to the sudden eruption of the volcano. Soon after the eruption, however, Japan Meteorological Agency (JMA) led many organizations and institutions, including JMA's Volcanic Eruption Prediction Liaison Council, Meteorological Research Institute (MRI) and National Agriculture and Food Research Organization and they understood the eruption situation quickly and shared the information based on their close cooperation and contact systems. Through these efforts, JMA published the unified result to the public, informing the public of the situation around the volcano and about the eruption and of how the residents and climbers around the volcano should react to the volcanic hazards caused by the eruption. The Korean Government can learn how to respond to a future eruption of a volcano, such as Mt. Baekdu which has the potential to erupt in the foreseeable future.

The Analysis of the APT Prelude by Big Data Analytics (빅데이터 분석을 통한 APT공격 전조 현상 분석)

  • Choi, Chan-young;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.317-320
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    • 2016
  • The NH-NongHyup network and servers were paralyzed in 2011, in the 2013 3.20 cyber attack happened and Classified documents of Korea Hydro & Nuclear Power Co. Ltd were leaked on December in 2015. All of them were conducted by a foreign country. These attacks were planned for a long time compared to the script kids attacks and the techniques used were very complex and sophisticated. However, no successful solution has been implemented to defend an APT attack thus far. Therefore, we will use big data analytics to analyze whether or not APT attack has occurred in order to defend against the manipulative attackers. This research is based on the data collected through ISAC monitoring among 3 hierarchical Korean defense system. First, we will introduce related research about big data analytics and machine learning. Then, we design two big data analytics models to detect an APT attack and evaluate the models' accuracy and other results. Lastly, we will present an effective response method to address a detected APT attack.

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The Abnormal Groundwater Changes as Potential Precursors of 2016 ML5.8 Gyeongju Earthquake in Korea (지하수위 이상 변동에 나타난 2016 ML5.8 경주 지진의 전조 가능성)

  • Lee, Hyun A;Hamm, Se-Yeong;Woo, Nam C.
    • Economic and Environmental Geology
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    • v.51 no.4
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    • pp.393-400
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    • 2018
  • Despite some skeptical views on the possibility of earthquake prediction, observation and evaluation of precursory changes have been continued throughout the world. In Korea, the public concern on the earthquake prediction has been increased after 2016 $M_L5.8$ and 2017 $M_L5.4$ earthquakes occurred in Gyeongju and Pohang, the southeastern part in Korea, respectively. In this study, the abnormal increase of groundwater level was observed before the 2016 $M_L5.8$ Gyeongju earthquake in a borehole located in 52 km away from the epicenter. The well was installed in the Yangsan fault zone, and equipped for the earthquake surveillance. The abnormal change in the well would seem to be a precursor, considering the hydrogeological condition and the observations from previous studies. It is necessary to set up a specialized council to support and evaluate the earthquake prediction and related researches for the preparation of future earthquake hazards.