• Korean Journal of Remote Sensing
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• v.37 no.6_2
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• pp.1785-1791
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• 2021

Natural and environmental disasters are recently increasing in frequency and complexity worldwide due to the rapid expansion of overpopulation, industrialization, and urbanization. Thus, analyzing past critical events/disasters in deep and preparing for future disasters in terms of risk identification, assessment and management are imperative requirements. In this special issue, we introduce several interesting studies covering disaster risk management and observation technologies for the heat waves, particulate matters, floods, drought, and earthquake using remote sensing and GIS performed by i-SEED (School of Integrated Science for Sustainable Earth & Environmental Disaster at Pukyong National University). We expect that the results of this special issue provide comprehensive information on the risk management and damage prevention of natural and environmental disasters and offer guidance on the application to future disasters to reduce their risks and impacts.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.57-68
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• 2018

A system to prevent disasters by collecting and analyzing environmental information such as road surface sedimentation, sinkholes, collapse risk of bridges, temperature and humidity around tram station is continuously monitored by monitoring the condition of road surface when constructing tram which is one of the urban railways. In this paper, we propose a wireless network security management system for tram roads based on LPWA that can recognize risk factors of road surface, bridge and tram station of tram in advance and prevent risk. The proposed system consists of a sensor node that detects the state of the tram road surface, a gateway that collects sensor information, and a safety management system that monitors the safety and environmental conditions of the tram road surface, and applies the low power long distance communication technology. As a result of comparing the proposed system with the LTE system in the field test, it was confirmed that there is no significant difference between the sensor information value and the critical alarm level in the monitoring system.

• Journal of the Korea Institute of Building Construction
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• v.24 no.2
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• pp.249-260
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• 2024

In recent years, the proportion of medium and small-sized apartments within the housing market has seen a noticeable increase, alongside a corresponding rise in disputes related to construction defects. Such disputes are most prevalent in the finishing works phase of construction, which not only are frequent in occurrence but also impose significant repair costs. Furthermore, there is a noticeable scarcity of research focused on the quality management of finishing work defects prior to the completion of construction. Addressing this issue necessitates a methodology capable of preemptively identifying defects by analyzing their frequency and associated costs across various defect types. Consequently, the aim of this study is to propose a risk assessment methodology by conducting an analysis of defect cases across 3,299 apartment units, considering aspects such as frequency and severity. The outcomes of this research endeavor are expected to offer practical management strategies to enhance the quality of apartment finishing works and serve as an academic foundation for the enhancement of construction management systems pertaining to apartment finishing works.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.123-131
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• 2016

Process mining in big data environment utilize a number of data were generated from the business process. It generates lots of knowledge and insights regarding implementation and improvement of the process through the event log of the company's enterprise resource planning (ERP) system. In recent years, various research activities engaged with the audit work of company organizations are trying actively by using the maximum strength of the mining process. However, domestic studies on applicable sales auditing system for the process mining are insufficient under big data environment. Therefore, we propose process-mining methods that can be optimally applied to online and traditional auditing system. In advance, we propose continuous monitoring information system that can early detect and prevent the risk under the big data environment by monitoring risk factors in the organizations of enterprise. The scope of the research of this paper is to design a pre-verification system for risk factor via practical examples in sales auditing. Furthermore, realizations of preventive audit, continuous monitoring for high risk, reduction of fraud, and timely action for violation of rules are enhanced by proposed sales auditing system. According to the simulation results, avoidance of financial risks, reduction of audit period, and improvement of audit quality are represented.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.117-124
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• 2005

In order to decrease the area damaged by forest fires and to prevent the occurrence of forest fires, we are making an effort to improve prevention measures for forest fires. This study was conducted to forecast risk regions where forest fires occur based on the factors of forest type and topographic characteristics and predict hazard regions where forest fires is expanded to large-scale forest fire based on the forest type characteristics in Uiseong-Gun. The results of classification of forest fire risk and hazard regions using GIS indicate 4% of the total areas in Uiseong-Gun.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.59-65
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• 2017

The basic goal of urban safety is to support citizens' quality of life and city competitiveness, and its importance is increasing. Since the risk of disasters is growing, there is a growing demand from society for minimizing the damage by preventing and responding to them in advance. In case of urban governments, securing safety emerges as one of the most important policy tasks due to natural disasters such as heavy rain and heavy snow and human disasters such as various accidents. Recently, it is emphasized the necessity to increase the prevention effect through disaster analysis using Big Data. This study examined paradigm change of disaster safety management using big data centering on Seoul city. In particular, the study tried case analysis from the viewpoint of maximizing effective government services for disaster safety management, and sought the strategic meaning in connection with the ordinance.

• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.245-256
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• 2010

최근 들어 안전관리의 패러다임은 사후분석에서 사전예방으로 바뀌고 있다. 이러한 추세에 맞추어 본질적인 안전관리에 대한 관심이 늘어나고 있다. 공정에 본질적인 안전을 추구하는 방법은 크게 5가지로 나누어 질 수 있으며, 공정의 배치를 통해서 사고를 영향을 최소화하는 방법은 공정의 설계단계에서 적용할 수 있는 좋은 방법이다. 본 연구에서는 공정의 설비가 가지는 위험성을 기반으로 안전거리에 대한 지침을 제시하고 있다. 사고결과와 사고발생빈도를 기반으로 개인적 위험성(Individual Risk: IR)을 계산하였으며, 계산된 값을 기반으로 최적의 안전거리 계산을 수행할 수 있었다. 계산된 IR과 문헌에서 제시된 안전거리를 바탕으로 작업자가 거주하는 건물과 공정경계 까지의 적절한 거리와 설비간의 최적의 거리를 계산하게 된다. Mixed Integer Linear Programming(MILP)를 이용하여 각각설비의 안전거리가 확보된 시설물 배치와 최소 부지 면적 등을 알 수가 있다. 이 연구를 통해 최적화된 부지면적과 파이프라인의 시설물 배치는 물론 공정건설이나 초기 디자인 단계 및 안전성확보측면에서 본질적인 안전을 구현하는데 유용하게 적용될 수 있다.

• The Korean Journal of Financial Management
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• v.19 no.1
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• pp.107-131
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• 2002

본 연구에서는 국내 자본시장의 개방이 광범위하게 진전된 1997년 외환위기 이후 기간을 대상표본으로 하여 한국주식시장에서 달러환위험에 대한 노출과 그 가격화 여부를 실증분석한다. 본 연구에서는 투자자들이 국내 주식시장 및 채권시장의 동향에 추가하여 미국신장의 움직임을 중요한 조건부 정보에 포함시켜 투자의사결정을 한다고 전제하고, 이에 상응하는 조건부 다중 베타위험 가격결정모형을 검정하였다. GMM추정의 초과식별조건을 이용하여 국내시장위험과 달러환위험 두 위험 요인을 포함한 가격결정모형의 모형설정오류를 검정한 결과 가격결정모형이 실제 주식수익률 자료와 배치되지 않는 것으로 나타났다. 조건부 달러환을 베타위험과 조건부 달러환위험 프리미엄은 모형에서 사전적으로 설정한 정보대용변수인 상수항과 한 시점 앞의 다우존스 주가지수 수익률, 국내시장 주가수익률 및 회사채 유통수익률에 의하여 설명이 이루어질 수 있고, 둘 다 시간가변적임이 결정되었다. 주식가격결정에 참여하고 있는 두 요인, 국내시장위험요인과 달러환위험요인의 상대적 중요성을 개략적으로 검정한 결과, 모든 포트폴리오에 걸쳐 국내시장위험요인이 더 큰 비중을 차지하고 있지만, 달러환위험요인도 무시할 수 없는 중요성을 가진 것으로 나타났다.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.277-290
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• 2015

The main purpose of study is to identify relevance between nature and types of risk factors that delinquent teenagers are exposed and types of methodologies implemented to prevent committing school violence, domestic violence, and suicide or to help recovering from violent activities and suicide attempts. The results show that school dropout has much relevance in risk factors such as probation, lawbreaking, smoking, drinking, runaway, domestic violence victim, and suicidal attempt. Risk rate of school dropout for those teenagers who smoke and drink in the period of runaway is 2.76 times higher than those teenagers who do not smoke or drink. More specifically, drinking increases more risk of school dropout than smoking. Contribution of this study is to identify empirical evidence that calls for comprehensive risk management for delinquent teenagers encompassing home, school, and community rather than focusing on risk itself.

• Journal of Korean Society of Disaster and Security
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• v.16 no.4
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• pp.67-74
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• 2023

In this study, the risk of landslides was analyzed for planned development sites in mountainous areas. Field survey was conducted on the research area with the slope and valley site. The criteria for evaluating the risk of landslides in the field survey were based on the risk assessment table of the Korea Forest Service Notice No. 2023-10. The research area has 13 slopes and 11 valleys. As a result of evaluating the risk area, two slopes and two valley were found to be dangerous sites in each. Numerical simulation was performed on the investigated risk areas to predict the spread of damage. The debris flow was simulated to have an affect on roads and buildings located in the lower part of the basin, and it was determined that a disaster prevention facility was nacessary to minimize damage. This information can be used to determine the impact of disasters before carrying out mountain development.