• 월간산업보건
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• s.374
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• pp.58-64
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• 2019

<2019 한국직업전망>이 발표되었다. 대표직업 196개 중 향후 10년간 수요가 증가할 것으로 보이는 19개 직업에 '산업안전 및 위험관리원'이 포함되었다. 고용정보원 홈페이지에 들어가 상세내용을 살펴보면 오랜 시간 연구, 분석한 자료임을 알 수 있다. <2019 한국직업전망>에서 다른 안전 관련 직종은 없었고 '산업안전 및 위험관리원'만 찾아볼 수 있었다. 산업안전 및 위험관리원은 앞으로 10년동안 1만 명 정도 그 수요가 더 늘어날 것으로 예상한다. 해당 분야는 '한국고용정보원 > 직업정보 > 한국직업전망 > 산업안전 및 위험관리원'으로 분류돼 있다. 그 주요 내용을 소개한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.349-350
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• 2023

우리나라는 지속적인 저출산과 고령화로 인해 지방 소멸 위험지역이 점차 늘어나고 있다. 본 연구는 지방 소멸과 관련된 다양한 요인을 '인구 소멸'이라는 키워드를 포함하는 신문 기사에 대한 토픽모델링을 통해 발견하고, 추출된 토픽과 관련된 공공 데이터를 수집하여 비슷한 특징을 가지는 지역을 묶는 군집분석을 수행한다. 그리고 지방소멸위험지수로 분류된 소멸 위험지역과 군집분석 결과를 비교한다.

• 월간산업보건
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• no.8 s.244
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• pp.32-41
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• 2008

• 월간산업보건
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• s.242
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• pp.32-43
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• 2008

• The monthly packaging world
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• s.231
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• pp.53-55
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• 2012

• 월간산업보건
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• no.7 s.243
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• pp.42-52
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• 2008

• The Safety technology
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• no.149
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• pp.64-70
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• 2010

• 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.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.207-215
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• 2011

This Risk analysis on information related assets is conducted primarily according to the standards the Korea Information and Telecommunications Technology Association (TTA) or the International Organization for Standardization (ISO). The process is made of asset analysis, threat analysis, vulnerability analysis, and response plan analysis. The risk for information related assets belongs to the operational risks suggested by BIS (Bank for International Settlements) and the information related losses can be estimated in terms of BIS' suggestion. In this paper it is proposed that how to apply the method proposed by BIS to estimate the loss of information assets.

• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.149-160
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• 2007

Automobile black boxes store and provide accident and driving information. The accident and driving information can be utilized to build scientific traffic-event database and can be applied in various industries. The objective of this study is to develop a recognition system of dangerous driving through analyzing the driving characteristic patterns. In this paper, possible dangerous driving models are classified into four models on the basis of vehicle behaviors(acceleration, deceleration, rotation) and accident types from existing statistical data. Dangerous driving data have been acquired through vehicle tests using automobile black boxes. Characteristics of driving patterns have been analyzed in order to classify dangerous driving models. For the recognition of dangerous driving, this study selected critical value of each dangerous driving model and developed the recognition algorithm of dangerous driving. The study has been verified by the application of recognition algorithm of dangerous driving and vehicle tests using automobile black boxes. The presented recognition methods of dangerous driving can be used for on-line/off-line management of drivers and vehicles.