• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.227-235
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• 2022

The purpose of this study was to analyze the risk and vulnerability of marine accidents based on statistical data on marine accidents at Ulsan Port, which has the largest amount of liquid cargo in Korea. It was found to be quite vulnerable to the risk of marine accidents, environmental damage, and vulnerability to environmental pollution accidents. Based on analysis results, marine accident scenarios and accident response strategies were prepared. Additionally, as a response strategy to prepare for large-scale marine pollution accidents at Ulsan Port, it is necessary to establish control equipment and infrastructure, as well as establish a control center to integrate marine accident safety functions. In particular, in the case of liquid cargo specialized ports such as Ulsan Port, considering the size of the cargo volume and the frequency of marine pollution accidents, it is urgent to build professional safety management institutions, which should make the port safer.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.2
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• pp.263-277
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• 2021

Taint analysis techniques are popularly used to detect web vulnerabilities originating from unverified user input data, such as Cross-Site Scripting (XSS) and SQL Injection, in web applications written in JavaScript. To detect such vulnerabilities, it would be necessary to trace variables affected by user-submitted inputs. However, because of the dynamic nature of JavaScript, it has been a challenging issue to identify those variables without running the web application code. Therefore, most existing taint analysis tools have been developed based on dynamic taint analysis, which requires the overhead of running the target application. In this paper, we propose a novel static taint analysis technique using symbol information obtained from the TypeScript (a superset of JavaScript) compiler to accurately track data flow and detect security vulnerabilities in TypeScript code. Our proposed technique allows developers to annotate variables that can contain unverified user input data, and uses the annotation information to trace variables and data affected by user input data. Since our proposed technique can seamlessly be incorporated into the TypeScript compiler, developers can find vulnerabilities during the development process, unlike existing analysis tools performed as a separate tool. To show the feasibility of the proposed method, we implemented a prototype and evaluated its performance with 8 web applications with known security vulnerabilities. We found that our prototype implementation could detect all known security vulnerabilities correctly.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.1
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• pp.69-78
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• 1999

Recently, with a rapid industry development, the recognition of environmental pollution is being increased. And the technique of pollution-prevention is also being studied. In the past, management direction for environmental pollution was limited only to concentration reduction and technique for treatment. But ,in these day, its direction is moved to a high level study such as a management and estimation of pollution material. In this study we establish a conception about EIS(Environmental Information System) building and present its building method. And we present a method for a database building, searching, analysis and printing. Also we produced the landuse map processing LANDSAT TM image. Using DDE(Dynamic Data Exchange) between Excel and ArcView on PC platform, we are enable to write and/or update a Report - waste discharge facility approval management leader - and to recover weakness about the report management of exsiting GSIS program.

• Economic and Environmental Geology
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• v.37 no.6 s.169
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• pp.631-645
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• 2004

This study assesses groundwater vulnerability to contaminants in industrial and residential/commercial areas of the city of Changwon, using DRASTIC technique and groundwater data. The DRASTIC technique was originally applied to situations in which the contamination sources are at the ground surface, and the contaminants flow into the groundwater with infiltration of rainfall. Mostly the industrial area has higher DRASTIC indices than the residential/commercial area. However, a part of the residential/commercial area having much groundwater production and great drawdown is more contaminated in groundwater than other industrial and the residential/commercial areas even if it has lowest DRASTIC indices in the study area. It indicates that groundwater contamination in urban areas can be closely related to excessive pumping resulting in a lowering of the water level. The correlation coefficient between minimum DRASTIC indices and the degree of poor water quality for 10 districts is as low as 0.40. On the other hand, the correlation coefficients between minimum DRASTIC indices and the groundwater discharge rate, and between minimum DRASTIC indices and well distribution density per unit area are 0.70 and 0.87, respectively. Thus, to evaluate the potential of groundwater contamination in urban areas, it is necessary to consider other human-made factors such as groundwater withdrawal rate and well distribution density per unit area as well as the existing seven DRASTIC factors.

• Journal of Korean Tunnelling and Underground Space Association
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• v.5 no.1
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• pp.71-88
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• 2003

The DRASTIC system is widely used for assessing regional groundwater pollution susceptibility by using hydrogeological factors such as depth to water, net recharge, aquifer media, soil media, topography, vadose zone media, hydraulic conductivity. This study is providing Modified Drastic Model to which lineament density, land use, influence of groundwater drawdown caused by tunnel excavation are added as additional factors using geographic information system, and then to evaluate groundwater contamination potential of ${\bigcirc}{\bigcirc}$ area. For statistical analysis, vector coverage per each factor is converted to grid layer and after each correlation coefficient between factors, covariance, variance, eigenvalue and eigenvector by principal component analysis of 3 direction, are calculated, correlation between factors is analyzed. Also after correlation coefficients between general DRASTIC layer and rated lineament density layer, between general DRASTIC layer and rated land use layer, between general DRASTIC layer and rated tunnel excavation influence layer are calculated, final modified DRASTIC model is constructed by using them with each weighting. When modified DRASTIC model was compared with general DRASTIC model, contamination potential in modified DRASTIC model is fairly detailed and consequently, vulnerable area which has high contamination potential could be presented concretly.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.2
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• pp.107-120
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• 2019

In this study, the characteristics of watershed and pollution source were investigated in SoOakcheon located in the upper stream of Daecheong Lake. The Dimension Index method was applied to index various watershed and pollution source data. The influence factors of each pollutant source were derived through correlation analysis between selected index and water quality monitoring data. BOD and COD were significantly influenced by population density and land area ratio, T-N by CN and rice area ratio, and T-P by population density and land area ratio, respectively. The discharge load is often used to establish non-point source countermeasures, but there is a difference between the water load and the water load in the lake or river. Therefore, in order to manage non-point pollution efficiently, it is necessary to analyze influential factors with high correlation with water quality and to manage the relevant factors with priority.

• Journal of Soil and Groundwater Environment
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• v.13 no.4
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• pp.40-53
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• 2008

Groundwater pollution prediction methods have been developed to plan the sustainable groundwater usage and protection from potential pollution in many countries. DRASTIC established by US EPA is the most widely used groundwater vulnerability mapping method. However, the DRASTIC showed limitation in predicting the groundwater contamination because the DRASTIC method is designed to embrace only hydrogeologic factors. Therefore, in this study, three different methods were applied to improve a groundwater pollution prediction method: US EPA DRASTIC, Modified-DRASTIC suggested by Panagopoulos et al. (2006), and LSDG (Land use, Soil drainage, Depth to water, Geology) proposed by Rupert (1999). The Modified-DRASTIC is the modified version of the DRASTIC in terms of the rating scales and the weighting coefficients. The rating scales of each factor were calculated by the statistical comparison of nitrate concentrations in each class using the Wilcoxon rank-sum test; while the weighting coefficients were modified by the statistical correlation of each parameter to nitrate concentrations using the Spearman's rho test. The LSDG is a simple rating method using four factors such as Land use, Soil drainage, Depth to water, and Geology. Classes in each factor are compared by the Wilcoxon rank-sum test which gives a different rating to each class if the nitrate concentration in the class is significantly different. A database of nitrate concentrations in groundwaters from 149 wells was built in Keumsan area. Application of three different methods for assessing the groundwater pollution potential resulted that the prediction which was represented by a correlation (r) between each index and nitrate was improved from the EPA DRASTIC (r = 0.058) to the modified rating (r = 0.245), to the modified rating and weights (r = 0.400), and to the LSDG (r = 0.415), respectively. The LSDG seemed appropriate to predict the groundwater pollution in that it contained land use as a factor of the groundwater pollution sources and the rating of each class was defined by a real pollution nitrate concentration.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.425-430
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• 2002

선박 내 대형 기계시스템 중의 하나인 조타장치는 선박에서 가장 신뢰성이 높은 장비 중의 하나라고 인식되어왔다. 그러나 1978년 5월 17일에 대형 유조선인 "Amoco Cadiz"호가 프랑스 연안에서 조타장치의 고장으로 좌초되어 프랑스 연안 241 km를 오염시킨 심각한 환경문제를 야기한 이후, 조타장치의 신뢰성에 대한 인식을 달리하게 되었다. "Amoco Cadiz"호 사고 조사 결과, 단일 유압회로의 기본적인 취약성에 그 원인이 있다고 판명되었다.(중략)

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.82.1-82.1
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• 2013

SPOES(Self Plasma Optical Emission Spectroscopy)는 반도체 및 LCD 제조 장비의 Foreline에 장착되는 센서로써, Foreline에 흐르는 Gas를 이온화시켜 이때 발생되는 빛을 분광시켜 공정의 상태 및 장비의 상태등을 종합적으로 점검할 수 있는 센서입니다. SPOES의 최대 장점은 공정 장비에 영향을 주기 않으면서 공정을 진단할 수 있고, 장비의 메인챔버에서 플라즈마 방전이 발생하지 않는 RPS (Remote Plasma System)등에 적용이 가능하며, 설치 및 분해이동과 운용이 용이한 장점이 있습니다. 하지만, SPOES는 오염성 가스 및 물질에 의한 오염에 취약한 단점이 있습니다. 예컨대, 플라즈마 방전에 의한 부산물들이 SPOES의 내부에 있는 윈도우의 렌즈에 부착되어 감도를 저하시켜, SEOES의 수명을 단축시킵니다. 또한 오염 물질이 SPOES 내부의 방전 CHAMBER에 증착되어 플라즈마 방전 효울을 저하시켜 센서의 효율을 저하시킵니다. 예를들면, 장비의 공정 챔버에서 배출되는 탄소와 같은 비금속성 오염물질과 텅스텐과 같은 금속성 오염물질이 SPOES의 방전 CHAMBER 내벽과 윈도우에 증착되어 오염을 유발합니다. 오염이 진행된 SPOES는 방전 CHAMBER의 오염으로 CHAMBER의 유전율을 변화시켜, 플라즈마 방전 효율의 저하를 가져오고, 윈도우의 오염은 빛의 투과율을 저하시켜, OES 신호의 감도를 저하시켜, SPOES 감도를 저하시키는 요인으로 작용합니다. 이러한 문제를 해결하기위한 방법으로 능동형 오염 방지 기술을 채용 하였습니다. 능동형 오염 방지 기법은 SPEOS의 방전 챔버에서 플라즈마 방전시 발생하는 진공의 밀도차를 이용하는 기술과 방전 챔버와 연결된 BYPASS LINE에 의해 발생되는 오염물질 자체 배기 시스템, 그리고 고밀도 플라즈마 방전을 일으키는 멀티 RF 기술 및 고밀도 방전을 일으키는 챔버 구조로 구성 되어 있습니다. 능동형 오염 방지 기법으로 반도체 공정에서 6개월 이상의 LIFETIME을 확보 할 수 있고, 고밀도 플라즈마로 인한 UV~NIR 영역의 감도 향상등을 확보 할 수 있습니다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.282-282
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• 2020

본 연구는 여수시 농어촌지역에 대하여 지하수 함양특성, 개발가능량 산정 및 오염부하량 등의 조사를 통해서 체계적인 지하수자원의 보전관리(안)을 수립하기 위해 수행되었다. 연구지역은 여수시 화양면, 소라면 2개 면을 포함하는 농어촌 용수구역(여소지구)으로, 여소지구의 총면적은 130.68 ㎢이며, 이 중 임야면적은 81.57 ㎢, 경지면적은 32.98 ㎢ 이고, 경지면적은 논 15.37 ㎢, 밭 17.42 ㎢, 시설재배 0.19 ㎢로 구성되어 있다. 여소지구의 30년 강수평균은 1,454.08 mm/년이며, 지하수 함양량은 국가지하수관리 기본계획(국토교통부, 2019) 및 전라남도 지하수관리계획(전라남도, 2009) 보고서를 참고하여 평균값인 11.28%로 산정한 결과, 21,279 천㎥/년으로 분석되었다. 또한, 지하수연보(국토교통부, 2018)의 세부용도별 이용량을 활용하여 지하수 이용량을 산정한 결과, 2,638.35 천㎥/년이었으며, 강수량, 함양률 및 면적 값을 고려하여 지하수 개발가능량을 산정한 결과, 16,387.57 천㎥/년, 개발가능량 대비 이용량은 16.11%로 확인되었다. 여소지구의 질산성질소 항목은 총 181개소(경지면적 0.2 ㎢당 1점)에 대해 분석한 결과, 전체 평균값은 6.67 mg/L이었으며, 농업용수 수질기준(20 mg/L)을 초과한 관정은 8개소(6%)로 확인되었다. DRASTIC을 이용한 오염취약성 지수는 평균값이 119.57점으로 나타나 오염취약성이 낮은 것으로 분석되었다. 신고·허가된 축사 시설을 기준으로 점오염원 조사결과, 단위면적당 시설수(오염원밀도)는 3.12 개소/㎢로 조사되었으며, 인구, 가축 및 토지이용 등 인자별을 고려하여 오염부하량을 산출한 결과, 단위면적당 오염부하량은 75.30 kg/day/㎢로 확인되었다. 행정구역별로 7가지 지표를 반영하여 관심, 주의, 경계 및 심각 4단계로 기준을 설정하여 지하수관리 필요지역을 선정하였다. 수량 측면은 개발가능량 대비 이용량, 단위면적당 이용량 및 관정밀 3가지 지표를 적용하였고, 수질 측면은 질산성질소 평균, 오염취약성 지수, 오염원밀도 및 단위면적당 오염부하량 4가지 지표를 적용하여 선정하였다. 지하수관리 필요지역을 분석한 결과, 전체 18개 리 중에서 14개 리에서 수량관리 12개리에서 수질관리 필요지역이 나타났다. 수량관리 필요지역은 지하수 취수량 조정 및 관리 확충 등의 대책방안이 마련되어야 하며, 수질관리 필요지역은 주변 오염원관리 및 수질검사 강화 등의 대책방안이 필요할 것으로 판단된다.