• International Journal of Contents
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• 제12권2호
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• pp.58-65
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• 2016

This paper describes design and development of a system that supports continuous creation of hazard maps by local residents in their daily life. We made an interview survey to design our system in a model traditional town in Saga, Japan. The results show that in spite of continuous efforts, many practical problems remain and residents feel unsafe. Based on these results, we designed and developed a unique ICT-based support system which contributes to community-based disaster prevention/reduction. The continuous resident participation and posting design are core concept for our sustainable community-based approach. Our system continues to support making a hazard map by integrating the community-based hazard information. Local residents register information about the spot (disaster types, a risk level, a photograph, comments, positional information) that can be dangerous in case of disaster. We have evaluated the usefulness and possibilities of our prototype system implemented as an iOS application.

• 한국지리정보학회지
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• 제9권2호
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• pp.54-66
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• 2006

2005년 5월 산림청에서 전국 산지를 대상으로 산사태 위험지도를 제작하였다. 본 연구는 산사태 위험지도의 정확성 검증을 위하여 2005년 8월 2~3일 전북지역에서 발생된 산사태 지역을 대상으로 부경대학교 위성정보과학과 PE&RS Lab에서 개발한 PKNU 3호 시스템으로 촬영한 영상을 이용하여 산사태 발생 지역을 추출한 후 산사태 위험지도와 중첩해서 산사태 위험지도의 정확도를 검증하였다. 또한 ArcView 3.3의 산지 지형 분석과 하계망 분석을 통해 산사태 발생 지역의 고도, 경사도, 경사방향, 하천장, 유역면적에 대한 특성을 분석하였다. 그 결과 산사태 위험지도의 등급별 단위 %량의 조정이 필요하며 산사태 위험지도 작성에 기본이 되는 산사태 위험 판정표에 대한 수정 보완이 필요하다고 사료된다.

• Spatial Information Research
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• 제17권1호
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• pp.25-37
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• 2009

최근 인명과 재산을 보호할 수 있는 중요한 분야인 안전 운전 서비스를 위해 GIS 및 텔레매틱스 기술에 USN을 활용하는 연구가 증가하고 있다. 본 논문에서는 이러한 안전 운전 서비스를 위한 연구의 하나로, USN을 활용하여 굴곡 도로에서 발생할 수 있는 위험을 분석하고 사고를 예방하기 위한 기술을 제안한다. 위험 분석 기술은 크게 모델링과 알고리즘으로 구성된다. 모델링으로는 굴곡 도로, 도로 방향, 센서, 차량, 위험에 대한 모델을 제안하고, 알고리즘으로는 위험을 분석하고 경고할 수 있는 다중 레벨 위험 분석 알고리즘을 제안한다. 그리고, 제안한 모델링과 알고리즘에 대한 시뮬레이션 응용 프로그램을 구현한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2009년도 춘계학술대회 논문집
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• pp.237-241
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• 2009

Yangyang Gangwon-do has begun the clearing of upland forested areas for development. This process has caused great damage from natural hazards such as landslides and flooding for many years. Moreover, proper hazard prevention strategies have not Yet been prepared. To provide useful information for developing hazard prevention strategies this study attempted to detect areas vulnerable to flooding in Yangyang using data such as topology, meteorology, history, land use, soil, hydrology, and society. It was found that roughly 30% of the study area was vulnerable to flooding. Also it was discovered that where the vulnerability index was high, there was increased amounts of flooding. The most vulnerable areas were where forests were cut and near livers. In addition, areas where frequent hazard events were reported had a high index of vulnerability. The results of this study will provide useful information in developing hazard prevention strategies.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(B)
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• pp.135-137
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• 2012

Safety Critical 시스템은 예상치 못한 오류가 발생했을 시 인명, 재산 및 심각한 환경 피해 등이 발생 할 수 있는 임베디드 시스템이다. Safety Critical 시스템에는 많은 위험성들이 잠재적으로 존재하기 때문에 치명적인 사고가 발생할 수 있다. 이러한 문제를 방지하기 위해 시스템에 존재하는 위험성을 분석하는 활동이 중요시 되고 있다. 본 연구에서는 Safety Critical 시스템의 잠재적인 위험성들을 분석하고 이를 아키텍처 설계에 반영함으로써 시스템의 안전성을 향상시키기 위한 Hazard Perspective를 제안한다. 제안하는 Hazard Perspective는 위험성 분석으로 산출된 정보들과 SSR(System Safety Requirement)을 시스템의 안전을 보장하기 위해 제시된 여러 Safety Architectural Tactics와 매핑하여 아키텍처 설계에 반영시킴으로써 시스템의 안전성을 향상시키도록 한다.

• 한국정보통신학회논문지
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• 제22권1호
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• pp.69-74
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• 2018

최근 개인정보 유출로 인해 피싱이나 스팸 등이 발생하고 있다. 기존에 시스템들은 개인정보 유출의 사전 예방에 중점을 두고 있다. 이로 인해 이미 유출된 개인정보가 있을 경우 개인정보 유출판별을 할 수 없는 문제점이 있었다. 이에 본 논문에서는 웹 문서 분석 기반 개인정보 위험도 분류 시스템을 제안한다. 이를 위해 트위터 서버로부터 웹 문서를 수집하고 해당 웹 문서 내에 사용자가 입력한 검색어가 있는지 확인한다. 또한 웹 문서 내에 유출된 개인정보들의 위험도 분류 가중치를 계산하고 개인정보를 유포한 트위터 계정의 권위를 확인한다. 이를 기반으로 위험도를 도출하여 해당 웹 문서의 개인정보 유출여부 판별을 확인할 수 있다.

• Journal of Ecology and Environment
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• 제36권1호
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• pp.49-56
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• 2013

The entire land of Southern Iran faces problems arising out of various types of land degradation of which vegetation degradation forms one of the major types. The present work introduces a model developed for assessing the current status of hazard of vegetation degradation using Geographic Information System (GIS). This kind of assessment differs from those assessments based on vulnerability or potential hazard assessments. The Sadra watershed which covers the upper reaches of Marharlu basin, Fars Province, has been chosen for a hazard assessment of this type of degradation. The different kinds of data for indicators of current status of vegetation degradation were gathered from collecting of field data and also records of the governmental offices of Iran. Taking into consideration three indicators of current status of vegetation degradation the model identifies areas with different hazard classes. By fixing the thresholds of severity classes of the three indicators including per cent of vegetation cover, biomass production and ratio of actual biomass to potential biomass production, a hazard map for each indicator was first prepared in GIS. The final hazard map of current status of vegetation degradation was prepared by intersecting three hazards in the GIS. Results show areas under severe hazard class have been found to be widespread (89 %) while areas under moderate and very severe hazard classes have been found less extensive in the Sadra watershed. The preparation of hazard maps based on the GIS analysis of these indicators will be helpful for prioritizing the areas to initiate remedial measures.

• 한국군사과학기술학회지
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• 제13권5호
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• pp.917-923
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• 2010

The local area weather information is very important element to estimate where the air-pollutant will flow. But the existing NBC hazard prediction model does not consider the local area weather information. So, in this paper, we present SN-HPM that uses the local area wether information to perform more accurate and reliable estimate, and embody it to program.

• 한국환경보건학회지
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• 제46권4호
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• pp.410-422
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• 2020

Objectives: According to the Act on Registration, Evaluation, Etc. of Chemicals, new and existing chemicals must be registered by 2030. In addition, industries need to submit hazard data as an attachment during the registration process. Therefore, we constructed a nationwide chemical database to support small industry by providing hazard data and original sources. During the process, we developed a new standard procedure for minimizing errors and increasing reliability. Methods: We analyzed the categories of errors and the cause of the errors through the verification results of the 2019 project. We present an improved database construction methodology and system. Results: Errors are categorized according to their causative factors into simple, technical, and structural type errors. Simple errors arise simply because of decreased concentration or negligence in following the instructions. Technical errors are caused by a discrepancy between the professional field and the type of data. Structural errors indicate systemic errors such as incomplete forms on the excel database or ambiguity in the guidelines. Lessons from the errors collected in the 2019 project are used to update the procedures for database authorization and technical guidelines. The main update points are as follows; 'supplementation of review process', 'giving regular training to external reviewers', 'giving additional information to authors, like physico-chemical properties of substances, degradability, etc.', 'amendment of excel form', and 'guideline upgrades'. Conclusions: We conducted this study with the aim of improving the accuracy and reliability of the database of hazard information for chemical substances. The new procedures and guidelines are now being used in the 2020 project for construction of a hazard information database for Korea.

• Communications for Statistical Applications and Methods
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• 제22권5호
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• pp.487-494
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• 2015

A calculation of the Kullback-Leibler information of consecutive order statistics is complicated because it depends on a multi-dimensional integral. Park (2014) discussed a representation of the Kullback-Leibler information of the first r order statistics in terms of the hazard function and simplified the r-fold integral to a single integral. In this paper, we first express the Kullback-Leibler information in terms of the reversed hazard function. Then we establish a generalized result of Park (2014) to an arbitrary consecutive order statistics. We derive a single integral form of the Kullback-Leibler information of an arbitrary block of order statistics; in addition, its relation to the Fisher information of order statistics is discussed with numerical examples provided.