• Title/Summary/Keyword: 위험도 판별

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Implementation of CNN-based classification model for flood risk determination (홍수 위험도 판별을 위한 CNN 기반의 분류 모델 구현)

  • Cho, Minwoo;Kim, Dongsoo;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.3
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    • pp.341-346
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    • 2022
  • Due to global warming and abnormal climate, the frequency and damage of floods are increasing, and the number of people exposed to flood-prone areas has increased by 25% compared to 2000. Floods cause huge financial and human losses, and in order to reduce the losses caused by floods, it is necessary to predict the flood in advance and decide to evacuate quickly. This paper proposes a flood risk determination model using a CNN-based classification model so that timely evacuation decisions can be made using rainfall and water level data, which are key data for flood prediction. By comparing the results of the CNN-based classification model proposed in this paper and the DNN-based classification model, it was confirmed that it showed better performance. Through this, it is considered that it can be used as an initial study to determine the risk of flooding, determine whether to evacuate, and make an evacuation decision at the optimal time.

산화성 고체 -셀룰로오즈의 연소위험성(II)

  • 허익수;송영호;강민호;정국삼
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2001.11a
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    • pp.259-262
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    • 2001
  • 산화성 물질은 소방법상 위험물 제1류 및 제6류에 속하여 있는 것으로서, 그 위험성은 산화성 물질 단독으로 또는 가연물과 혼합에 의해서 폭발성 또는 폭발적 연소성을 갖는 물질로서, 이를 위한 위험성 평가는 현재 국내의 소방법으로 규정하고 있는 위험물에 대한 연소 및 반응위험성과 같은 제반 위험성을 판별하는 기준이 없어 이를 위한 체계적인 시험법의 요구가 필요한 것이다. 따라서, 본 연구는 국내 소방법 중 위험물 제1류로 구분되고 있는 산화성고체에 대한 연소위험성을 평가하기 위한 보다 체계적이고 재현성 있는 판별 기준을 제시하여 보고자 하였으며, 이를 통하여 기준 시험법의 정립을 기하기 위한 기술자료로서 활용하여 보고자 하였다.(중략)

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Consumer Anxiety and Characteristics on Internet Shopping (인터넷 쇼핑에 대한 소비자 불안과 소비자 특성)

  • Yang, Yoon
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2003.11a
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    • pp.1161-1165
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    • 2003
  • 본 연구에서는 인터넷 쇼핑에서 소비자들이 구매결정으로 지연하고 불안해하는 원인을 제품군별로 기존의 지각된 위험과 더불어 새로운 쇼핑방식 이용에 따른 위험 그리고 소비자 특성 등과 관련지어서 알아보았다. 연구결과, 인터넷 쇼핑 시 소비자가 지각하는 위험은 제품군에 따라서 다르게 나타났다. 인터넷 쇼핑몰에서의 쇼핑경험이 없는 소비자들이 경험이 있는 소비자들보다 위험을 더 높게 지각함으로써 더 불안해했다. 쇼핑빈도에 관해서는 제품군에 관계없이 쇼핑빈도가 증가함에 따라서 지각된 위험이 감소하였다. 인터넷쇼핑을 경험한 집단과 무경험 집단을 판별해주는 소비자 특성변수로는 제품군에 관계없이 충동구매경향성과 의견선도로 나타났다. 소비자 특성과 불안 요소인 지각된 위험간의 관련성은 제품군에 따라서 다르게 나타났다. 본 연구는 제품군별로 인터넷쇼핑 경험집단과 무경험 집단 간의 지각된 위험에서의 차이와 두 집단을 판별해주는 소비자 특성변수를 실증적으로 살펴봄으로서 인터넷쇼핑의 이용가능성을 더욱 높일 수 있는 기초 자료를 제공했다는 점에서 의의를 갖는다.

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Risk Management for Environment Protection in Job Site Utilizing BIM Method (BIM을 활용한 현장시공의 친환경 위험관리에 관한 연구)

  • Li, Teng;Kim, Ju-Hyung;Kim, Jae-Jun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2010.05a
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    • pp.111-114
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    • 2010
  • With the rise of green technology, the environmental question causes people’s attention more and more, based on objective of the sustainable development, the green risk has already begun to appear. In the paper the definition of the green risk of construction project is given, it analyzes and identifies the green risk of construction project from three aspects, based on BIM, the relation with green risk was found. Though the relation, the management of green risk was analyzed and we may take some measures to reduce the unnecessary risk and waste.

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Discriminating Risky Drivers Using Driving Behavior Determinants (운전행동 결정요인을 이용한 위험운전자의 판별)

  • Ju Seok Oh ;Soon Chul Lee
    • Korean Journal of Culture and Social Issue
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    • v.18 no.3
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    • pp.415-433
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    • 2012
  • This study was conducted in order to explain the effect of driving behavior determinants such as drivers' personality and attitude that may induce risky driving behavior and to develop a valid method for discriminating risky drivers using the determinants. In the results of surveying 534 adult drivers, 5 driving behavior determinants (avoidance of problems, benefit/stimulus seeking, interpersonal anxiety, interpersonal anger, and aggression) were found to have a statistically significant effect on drivers' various risky driving behaviors. Using these factors, drivers were grouped according to risk levels (normal drivers, unintentionally risky drivers, and intentionally risky drivers). This result suggests that drivers' dangerous behavior level can be predicted using psychological factors such as their personality and attitude. Accordingly, if the driving behavior determinant model and the base score system used in this study are improved through further research, they are expected to be useful in predicting drivers' recklessness in advance, identifying problems, and providing differentiated safe driving education services based on the results.

Facial Expression Algorithm For Risk Situation Recognition (얼굴 표정인식을 이용한 위험상황 인지)

  • Kwak, Nae-jong;Song, Teuk-Seob
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.197-200
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    • 2014
  • This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image. The proposed method produces good results of facial expression and discriminates risk situation well.

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Web Document Analysis based Personal Information Hazard Classification System (웹 문서 분석 기반 개인정보 위험도 분류 시스템)

  • Lee, Hyoungseon;Lim, Jaedon;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.1
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    • pp.69-74
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    • 2018
  • Recently, personal information leakage has caused phishing and spam. Previously developed systems focus on preventing personal information leakage. Therefore, there is a problem that the leakage of personal information can not be discriminated if there is already leaked personal information. In this paper, we propose a personal information hazard classification system based on web document analysis that calculates the hazard. The system collects web documents from the Twitter server and checks whether there are any user-entered search terms in the web documents. And we calculate the hazard classification weighting of the personal information leaked in the web documents and confirm the authority of the Twitter account that distributed the personal information. Based on this, the hazard can be derived and the user can be informed of the leakage of personal information of the web document.

Comparative Analysis of Factors in Country Risk between Cambodia and Vietnam (캄보디아와 베트남의 국가위험도 영향요인 비교 분석)

  • Lee, Changkeun;Choo, Yongsik
    • Journal of the Korean Regional Science Association
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    • v.34 no.2
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    • pp.65-77
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    • 2018
  • The purpose of this study is to compare and analyze factors in country risk between Cambodia and Vietnam. OECD and the Export-Import Ban of Korea assess country risk of Cambodia more highly than Vietnam. As results of the parametric tests for evaluation factors on the basis of country risk classification, the economic growth rate, the foreign trade index, and the foreign exchange reserves among the economic risks with the corruption index as the political and social risk have statistically significant effect on the difference between country risks of two countries. However, discriminant factor analysis indicates that the economic growth rate, the foreign exchange reserves, and the corruption index are key variables, which represent the difference between country risks of Cambodia and Vietnam. Consequently, the government of Cambodia needs to try to root out the corruption and to expand trade through increasing export for lowering the country risk to the level of Vietnam. Vietnam would also need to focus on attaining the sustainable high economic growth rate and increasing the foreign exchange reserves.

A Study of Anti-Fraud System (AFS) for Credit Card Payments (전자상거래영역에서 전자결제 신용카드 사기방어 시스템에 관한 연구)

  • 조문배;석현태
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04a
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    • pp.886-888
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    • 2002
  • 인터넷 상의 주문 결재로부터 생성되어지는 수백만의 결제로 인해 축적되어진 레코드들을 이용하고, 아울러 고객이 제공하는 데이터 등을 가지고 고객이 실제 카드 소지자인지를 판별하는 전자결제 신용카드 사기방어시스템 (Anti-Fraud System(AFS))을 제안하였다. 고객은 거래 콤포넌트에 의한 보안 메시징 프로토콜을 사용해서 인터넷에서의 서비스 요구를 시작한다. 거래의 위험도를 결정하기 하기 위해서 데이터마이닝 기법을 이용한 하이브리드 모델링기법을 사용하여 이와 같은 요구에서 생성되는 트랜잭션 정보의 위험도를 계산한 후, 미리 결정된 위험수위와 비교하여 부가적 신용 정보의 필요성을 판단하게 된다.

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Hazard Evaluation of Gas Processes Using a Multi-distinction Equipment Screening Algorithm (다중판별 장치 스크리닝 기법을 이용한 가스공정의 위험성 평가)

  • Yoon En Sup;Park Jeong Su;Ahn Sung Joon;Han Kyounghoon;Yoon Jong Phil;Kim Ku Hwoi;Shin Dongil
    • Journal of the Korean Institute of Gas
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    • v.7 no.1 s.18
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    • pp.1-9
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    • 2003
  • A Multi-distinction Equipment Screening Algorithm (MESA) is proposed. It selectively integrates Dow's F&EI as its process hazard index technique and ESA (Equipment Screening Algorithm) as qualitative hazard classification technique, and retrieves a detailed list of hazardous equipments with the total hazard indices of those equipments. The inherent expert system, which includes the accident scenarios of the equipments and processes and experts' views of them, narrows further down the list of hazardous equipments and recommends only the most notable candidates. Through the case study of distinguishing the hazardous ranking of the equipments of the LPG underground storage process, using the expert system or not, the applicability of MESA has been validated. Taking the characteristics of the process equipments with hazardous ranking in the point of process intrinsic safety, this proposed algorithm would contribute to providing engineers or managers with information on constructing safely devices and mitigation devices and on scheduling emergency response planning.

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