• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.39-46
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• 2008

In this study, with the objects of 173 institutions of university and research institutions, investigation was carried out through visit investigation ar d questionnaire investigation. Frequency and severity of occurrences was acquired mainly through universities and research institutions which have reported occurrences of accidents to the Ministry of Education, Science, and Technology. Quantitative danger evaluation was conducted through frequency and strength of occurrences. Case study was carried out by selecting bio science laboratory of university and as the result of this study, degree of danger among the inspection objects of bio science laboratories, laboratory work place was evaluated as the most dangerous with the scores of 155.00 and as the result of average danger level, compression gas cylinder was evaluated as the most dangerous with the scores of 6.4000.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.623-631
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• 2008

In this study, with the objects of 173 institutions of university and research institutions, investigation was carried out through visit investigation and questionnaire investigation. Frequency and strength of occurrences was acquired mainly through universities and research institutions which have reported occurrences of accidents to the Ministry of Education, Science, and Technology. Quantitative danger evaluation was conducted through frequency and strength of occurrences. Case study was carried out by selecting bio science laboratory of university and as the result of this study, degree of danger among the inspection objects of bio science laboratories, laboratory work place was evaluated as the most dangerous with the scores of 155.00 and as the result of average danger level, compression gas cylinder was evaluated as the most dangerous with the scores of 6.4000.

• The KIPS Transactions:PartD
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• v.8D no.3
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• pp.233-240
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• 2001

As software technology is in progress and software quantification is getting more important, many metrics have been proposed to quantify a variety of system entities. These metrics can be classified into two different forms : scalar metric and metric vector. Though some recent studies pointed out the composition problem of the scalar metric form, many scalar metrics are successfully used in software development organizations due to their practical applications. In this paper, it is concluded that hybrid metric form weighting external complexity is most suitable for scalar metric form. With this concept, a general framework for hybrid metrics construction independent of the development methodologies and target system type is proposed. This framework was successfully used in two projects that quantify the analysis phase of the structured methodology and the design phase of the object oriented real-time system, respectively. Any organization can quantify system entities in a short time using this framework.

• Economic and Environmental Geology
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• v.46 no.4
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• pp.301-312
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• 2013

Landslides are caused by complex interaction among a large number of interrelated factors such as topography, geology, forest and soils. In this study, a comparative study was carried out using fuzzy relationship method and artificial neural network to evaluate landslide susceptibility. For landslide susceptibility mapping, maps of the landslide occurrence locations, slope angle, aspect, curvature, lithology, soil drainage, soil depth, soil texture, forest type, forest age, forest diameter and forest density were constructed from the spatial data sets. In fuzzy relation analysis, the membership values for each category of thematic layers have been determined using the cosine amplitude method. Then the integration of different thematic layers to produce landslide susceptibility map was performed by Cartesian product operation. In artificial neural network analysis, the relative weight values for causative factors were determined by back propagation algorithm. Landslide susceptibility maps prepared by two approaches were validated by ROC(Receiver Operating Characteristic) curve and AUC(Area Under the Curve). Based on the validation results, both approaches show excellent performance to predict the landslide susceptibility but the performance of the artificial neural network was superior in this study area.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2012.04a
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• pp.109-112
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• 2012

원자력발전소는 타 산업시설에 비해 화재발생 가능성이 낮으나 방사성물질 누출가능성을 최소화하기 위하여 심층방어와 다중방호 설계를 통한 안전성확보가 매우 중요하다. 이를 위해 국내에서는 화재위험도분석(FHA)과 안전정지능력분석(SSA) 및 화재 확률론적안전성분석(Fire PSA)을 수행하고 있으며, 이 중 화재 PSA는 주요 화재구역 선별, 구역별 화재발생빈도 및 기기손상확률 계산, 화재사고 경위분석 및 화재취약성 파악 등을 분석한다. 본 논문에서는 미국 원자력규제위원회(USNRC)와 전력연구소(EPRI)가 공동 연구개발한 화재 PSA 방법론인 NUREG/CR-6850 기법을 적용하여, 화재 PSA에 필요한 화재점화빈도(Fire Ignition Frequency)를 정량적으로 계산하였다. 정확한 결과값을 도출하기 위해 매크로를 이용한 프로그램인 FIFA(Fire Ignition Frequency Analyzer)를 개발하였으며, 향후 국내 원전 화재 PSA 분석업무에 유용하게 사용될 수 있을 것으로 기대된다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.2
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• pp.200-208
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• 2024

The occurrence a fire on a training ship with a large number of people on board can lead to severe casualties. Hence the Seafarers' Act and Safety Life At Sea(SOLAS) emphasizes the importance of the abandon ship drill. Therefore, in this study, the training ship of Mokpo National Maritime University, Segero, which has a large number of people on board, was selected as the target ship and the likelihood and severity of fire accidents on each deck were predicted through the preliminary hazard analysis(PHA) qualitative risk assessment. Additionally, assuming a fire in a high-risk area, a simulation of evacuation time and population density was performed to quantitatively predict the risk. The the total evacuation time was predicted to be the longest at 501s in the meal time scenario, in which the population distribution was concentrated in one area. Depending on the scenario, some decks had relatively high population densities of over 1.4pers/m², preventing stagnation in the number of evacuees. The results of this study are expected to be used as basic data to develop training scenarios for training ships by quantifying evacuation time and population density according to various evacuation scenarios, and the research can be expanded in the future through comparison of mathematical models and experimental values.

• Annual Conference of KIPS
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• 2007.11a
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• pp.1119-1122
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• 2007

최근 전자우편이나 해킹을 통한 피싱과 파밍 등 금융 사기가 많이 발생하고 있다. 이에 이러한 피해로부터 사용자의 경제적 손실 및 개인정보 보호를 위하여 웹 사이트 인증, 전자우편 인증 등의 연구가 진행되고 있다. 기존 인증 방법에서는 WBL (Website Black-List) DB를 사용하였는데, 피싱의 짧은 생명주기(life cycle)로 인해 WBL DB의 유효성은 떨어질 뿐만 아니라, 피싱 사건 발생 후 웹 사이트가 WBL DB에 등록되기 전까지는 확인 불가능하다는 단점을 가지고 있다. 이러한 문제점을 극복하기 위해 WWL (Website White-List) DB를 이용한 연구가 진행 중이지만 아직은 미비한 편이다. 이에 본 논문에서는 기존의 WBL DB와 WWL DB를 이용한 방법이 가지고 있는 한계점을 극복하기 위해 WWL DB 항목을 정의하고, 이를 이용하여 웹사이트 보안 위험도를 정량화할 수 있는 웹사이트 위험도 산정 기법을 제안한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.101-101
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• 2017

근래에 대한민국 담수계에 조류 대발생으로 인한 수질악화 문재가 대두되고 있다. 또한 독성물질을 생성하는 남조류종이 우점하는 현상으로인해 수질문제와더불에 생태계와 인간의 건강도 잠재적인 위험을 받고있는 실정이다. 이와같은 조류 대발생으로인한 피해를 최소화하기위해 효과적인 수질관리가 필수적이다. 원격탐사기술은 조류의 공간적인 분포를 해석하고 농도를 정량화하기위해 이용되고 있다. 현재까지 많은 분광알고리즘들이 개발되어 담수유역에 적용이 되고 있다. 수체마다 다른 분광특성 때문에 알고리즘내의 파라미터 및 분광밴드 조정이 필수적이다. 하지만 대부분의 연구에선 파라미터와 밴드의 변경에 따른 결과향상에만 초점이 맞춰지고 있어 분광알고리즘내의 파라미터와 분광밴드사이의 관계 이해 뿐만아니라 알고리즘 최종 산출물에 대한 영향에 관한 설명이 전무한 실정이다. 본 연구에선, 대한민국 백제보를 대상으로 현장모니터링 및 조류추출 실험을 진행하였고, 이를 기반으로 5가지 클로로필a 알고리즘과 2가지 피코시아닌 알고리즘을 구축하였다. 알고리즘내에서 변수들의 관계와 영향을 알아보기위해 민감도 분석을 실시하였다. 민감도 분석 조건을 기반으로 one-objective 최적화 및 multi-objective 최적화를 실시하여 백제보수계를 대표할 수 있는 최적 변수들을 모의하였다. 민감도 분석결과 후방산란계수에 영향을 미치는 파라미터와 조류 생체량에 영향을 미치는 파라미터가 다른 변수들 및 알고리즘 농도산정결과에 가장 민감한 것으로 나타났다. multi-objective 최적화 결과가 one-objective 결과 및 reference 결과보다 대부분 정확도가 향상되었고 흡광도 계수를 함께 고려할 수 있기 때문에 백제보 수계의 분광특성을 함께 고려하여 대표할 수 있는 장점을 가지는 것으로 나타났다. 따라서, 본 연구는 민감도 분석을 활용하여 분광알고리즘 내의 변수들의 이해를 도모하였고, 최적화 기법 중, multi-objective 최적화 기법이 백제보의 분광특성을 대변하는 최적변수를 제시할 수 있음과 동시에 보다 나은 정확성을 제고할 수 있음을 확인하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.1
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• pp.187-196
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• 2016

Android applications are inherently vulnerable to a repackaging attack such that malicious codes are easily inserted into an application and then resigned by the attacker. These days, it occurs often that such private or individual information is leaked. In principle, all Android applications are composed of user defined methods and APIs. As well as accessing to resources on platform, APIs play a role as a practical functional feature, and user defined methods play a role as a feature by using APIs. In this paper we propose a scheme to analyze sensitive APIs mostly used in malicious applications in terms of how malicious applications operate and which API they use. Based on the characteristics of target APIs, we accumulate the knowledge on such APIs using a machine learning scheme based on Naive Bayes algorithm. Resulting from the learned results, we are able to provide fine-grained numeric score on the degree of vulnerabilities of mobile applications. In doing so, we expect the proposed scheme will help mobile application developers identify the security level of applications in advance.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.2
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• pp.145-152
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• 2023

In this study, microscopic observation was made on the surface of cement paste immersed in an aquatic environment for 100 days at electrochemical treatment to mitigate the leaching of alkali ions. To quantitatively rank the hydration products, unhydrated grains and porosity in the interfacial region, the backscattered electron(BSE) images were obtained by scanninng electron microscopy. As a result, it was found that the porosity on the surface was significantly reduced by the electrochemical treatment, while unhydrated grains were more or less increased presumably limited hydration reaction under electric charge. At electrochemical treatment, Ca²⁺ ions present in C-S-H gel could be precipitated with OH^- to form Ca(OH)₂ then to lower C-S-H gel and simultaneously to enhance Ca(OH)₂. Substantially, the risk of alkali leaching could be lowered by the limited ionized matrix under electrochemical treatment.