• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.191-191
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• 2015

무분별한 도시화 및 산업화로 인해 불투수면이 증가하고 있다. 불투수면은 빗물이 투과하지 못하는 지면을 의미한다. 이러한 불투수면은 강우 시 지면에 있는 유해물질이 그대로 인근 수계로 유입되게 함으로써 심각한 수질 오염을 야기한다. 이와 관련하여 환경부에서는 불투수율 관리를 위하여 2013년에 전국토를 대상으로 불투수율을 산정한바 있으나, 소축척 수준의 시 또는 유역 단위 통계만을 산출하였고 대축척 수준의 소규모 개인 필지 내 조경지역 등을 반영한 불투수율 통계는 현재까지 부재하다. 따라서 본 연구에서는 인천시 부평구를 대상으로 소규모 필지까지 적용 가능한 고해상도 투수/불투수도를 제작 및 활용하여 용도지역별 불투수율 현황을 분석하였다. 불투수면의 공간적 분포 확인을 위해 토지피복지도, 수치지형도, 항공사진(25cm급) 등을 활용하여 고해상도 투수/불투수도를 제작하였다. 투수/불투수도는 세분류 토지피복지도 제작 지침인 선형 요소의 경우 폭 3m, 면형 요소의 경우 면적 $10m{\times}10m(100m^2)$를 참조하여 제작되어 개별 필지단위의 불투수면까지 확인 가능하다. 이후 용도지역도를 수집하여 GIS 환경에서 투수/불투수도와 중첩하여 용도지역별 불투수율을 산출하였다. 불투수율을 산정한 결과 부평구 전체 불투수율은 64%로 확인되었다. 또한 용도지역도 중분류상 주거지역의 경우 불투수율이 82.1%, 상업지역의 경우 91.7%, 공업지역의 경우 94.1%, 녹지지역의 경우 30%로 확인되었다. 상업지역 및 공업지역의 경우 불투수율이 90%이상으로 불투수면 관리가 시급하다고 판단되었다. 본 연구 결과는 기존 환경부에서 제작한 투수/불투수도 보다 정확한 불투수면의 공간적 분포 확인 및 불투수 면적 산출이 가능하여 불투수면 우선관리지역 선정을 위한 기초자료로 활용 가능할 것으로 판단된다. 향후 연구에서는 본 연구 결과를 바탕으로 불투수율이 높은 지역을 우선 선별하여 저영향개발(LID, Low Impact Development) 및 그린빗물인프라(GSI, Green Stormwater Infrastructure)의 활용 방안에 관한 연구가 이루어져야한다. 특히, 불투수율이 높은 상업지역 및 공업지역에 대해서는 연구 결과의 적극적인 활용을 통한 개선이 요구된다.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.279-288
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• 2019

We evaluated the land cover classification performance of SegNet, which features semantic segmentation of aerial imagery. We selected four semantic classes, i.e., urban, farmland, forest, and water areas, and created 2,000 datasets using aerial images and land cover maps. The datasets were divided at a 8:2 ratio into training (1,600) and validation datasets (400); we evaluated validation accuracy after tuning the hyperparameters. SegNet performance was optimal at a batch size of five with 100,000 iterations. When 200 test datasets were subjected to semantic segmentation using the trained SegNet model, the accuracies were farmland 87.89%, forest 87.18%, water 83.66%, and urban regions 82.67%; the overall accuracy was 85.48%. Thus, deep learning-based semantic segmentation can be used to classify land cover.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.123-133
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• 2022

In this paper, we propose a Leveled Micro-Degree Job Competency Certification Model that considers the level of the job based on the job defined in the NCS. There is a mismatch of manpower due to the problem of university education that cannot keep up with the rapidly changing technological environment caused by the 4th Industrial Revolution. The Nano-Degree and Micro-Degree systems designed to solve this problem are used for job competency certification of cyber security personnel. NCS sub-categorized job field is defined as Micro-Degree and detailed job by ability unit is defined as Nano-Degree, the level of the ability unit defined by level is equally applied to the Micro-Degree. And it is a system that certifies the job competency corresponding to the degree-based university academic background. By applying this system to the curriculum of Cyber Security School, Yeungnam University College, we proposed a method to configure the Nano-Degree course based on NCS duties. The method proposed in this paper can be used as a method for verifying job competency of Nano-Degree and Micro-Degree, which are recently introduced by many universities.

• Analytical Science and Technology
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• v.22 no.1
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• pp.57-64
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• 2009

A material database has been developed for VOCs and formaldehyde emitted from building materials in this study. New classification system has been made by correlating the classification methods used in Korean Air Cleaning and Environmental Protection Agency. The developed databases include emission rates of TVOC, 5VOC and formaldehyde emitted from each building material. In addition, the databases can be used as an input variable to estimate indoor air quality (IAQ) using computer simulation since they also contain chemical component and general imformation. Box plot was used to do statistical analysis for emission rates of formaldehyde and TVOCs from different types of building materials. Also we confirmed the building materials worsening IAQ by categorizing the emission characteristic of different types of pollutants.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.80-80
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• 2022

본 연구는 한강유역 (35,770 km²)을 대상으로 RUSLE (Revised Universal Soil Loss Equation)과 WATEM/SEDEM (The Water and Tillage Erosion Model and Sediment Delivery Model)의 유사이동식을 활용하여 인간활동과 기후변화로 인한 유사량을 평가하였다. 대상유역에 영향을 주는 16곳의 기상관측소에서 제공하는 분 단위 누적강수량 (2000-2019), 농촌진흥청 토양도, 국토지리정보원 DEM (Digital Elevation Model), 환경공간정보서비스 (EGIS) 2020년 세분류 토지이용도를 활용하여 RUSLE과 WATEM/SEDEM 유사이동식에 필요한 강우침식인자(R), 토양침식인자 (K), 지형인자 (L·S), 식생피복인자 (C), 그리고 보전관리인자 (P)를 구축하였으며, SWAT (Soil and Water Assessment Tool)으로 모의한 표준유역 단위 연도별(2000-2019) 유사량 결과를 기준으로 WATEM/SEDEM 유사량 계수 (KTC)를 검·보정하였다. 토양침식 산정 입력자료 중 강우량으로 산정하는 강우침식인자는 기후변화를 보여주는 인자, 토지피복에 따라 다른 식생피복인자와 보전관리인자는 인간활동을 나타내는 인자로 설정하였다. 강우침식인자는 2010년대 평균값을 활용하여 현재의 유사량을 평가하였으며, 분 단위 자료가 없는 과거의 경우 직접적인 계산에 어려움이 있어, 연평균 강수량과의 관계로 추정한 1980년대 평균값을 활용하여 기후변화로 인한 영향을 평가하였다. 식생피복인자와 보전관리인자는 1980년대 토지이용도를 활용하여 산정한 결과로 인간활동에 의한 유사량 평가에 사용되었다. 대상유역의 유사량은 RUSLE 모형의 토양침식량과 WATEM/SEDEM 유사이동량을 mass balance로 분석하며, 다른 인자들은 고정한 상태로 과거 강우침식인자, 식생피복인자와 보전관리인자를 적용하여 인간활동과 기후변화로 인한 유사량 변화를 분석하고자 한다.

• The Korean Journal of Archival Studies
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• no.81
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• pp.45-87
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• 2024

This study aims to discuss ways to improve the information disclosure system centered on the Freedom of Information Act by analyzing the revision history of the Act and interviewing information disclosure experts. First, the study analyzed the revision history and contents of the Act from its enactment to today. It found that although positive amendments have been made in terms of expanding the right to know, they have been limited to operational aspects, and no amendments have been made to the criteria for determining information subject to disclosure. The interview was organized into three areas: achievements, problems, and improvements of the Act. The analysis was conducted by breaking down the content of each area and organizing it into themes. In conclusion, the study proposed eight recommendations for improvement, including expanding the scope of information disclosure, categorizing the information to be disclosed, securing a procedure for appealing the non-disclosure of information, increasing the effectiveness of the committee, introducing penalties and disciplinary regulations, establishing an Information Disclosure Appeals Tribunal, establishing systematic controls to prevent misuse of the right to request information, and merging the Public Data Act with the Freedom of Information Act.

• Economic and Environmental Geology
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• v.55 no.3
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• pp.309-316
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• 2022

In order to minimize the human and time consumption required for rock classification, research on rock classification using artificial intelligence (AI) has recently developed. In this study, basic volcanic rocks were subdivided by using polarizing microscope thin section images. A convolutional neural network (CNN) model based on Tensorflow and Keras libraries was self-producted for rock classification. A total of 720 images of olivine basalt, basaltic andesite, olivine tholeiite, trachytic olivine basalt reference specimens were mounted with open nicol, cross nicol, and adding gypsum plates, and trained at the training : test = 7 : 3 ratio. As a result of machine learning, the classification accuracy was over 80-90%. When we confirmed the classification accuracy of each AI model, it is expected that the rock classification method of this model will not be much different from the rock classification process of a geologist. Furthermore, if not only this model but also models that subdivide more diverse rock types are produced and integrated, the AI model that satisfies both the speed of data classification and the accessibility of non-experts can be developed, thereby providing a new framework for basic petrology research.

• Survey Research
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• v.8 no.2
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• pp.91-115
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• 2007

OES survey as the national official statistics aims to provide the basic data for the national labor market policy and research such as the basic statistics for human resource supply policy, the prediction of employment by occupations, the decision of occupation, the occupational training and the finding jobs et al., at the levels of industrial and occupational classifications(3-digit). In order to achieve this objective, we analyze the OES data in 2005 and 2006 and propose the new sampling design using the long form data in Korea (10% sample data of census 2005). In this paper, we provide the criterion of sample allocation and derive the formular for estimator and error of it including the weighting procedure. From the proposed sampling design, we would expect that it contributes to the supply policy of human resource and the research for labor market.

• Journal of Environmental Impact Assessment
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• v.27 no.2
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• pp.124-138
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• 2018

This research was conducted to examine the availability of spatial data for assessing absorption rates of $CO_2$ in the forest of Ansan-si and evaluate the validity of methods that analyze $CO_2$ absorption. To statistically assess the $CO_2$ absorption rates per year, the 1:5,000 Digital Forest-Map (Lim5000) and Standard Carbon Removal of Major Forest Species (SCRMF) methods were employed. Furthermore, Land Cover Map (LCM) was also used to verify $CO_2$ absorption rate availability per year. Great variations in $CO_2$ absorption rates occurred before and after the year 2010. This was due to improvement in precision and accuracy of the Forest Basic Statistics (FBS) in 2010, which resulted in rapid increase in growing stock. Thus, calibration of data prior to 2010 is necessary, based on recent FBS standards. Previous studies that employed Lim5000 and FBS (2015, 2010) did not take into account the $CO_2$ absorption rates of different tree species, and the combination of SCRMF and Lim5000 resulted in $CO_2$ absorption of 42,369 ton. In contrast to the combination of SCRMF and Lim5000, LCM and SCRMF resulted in $CO_2$ absorption of 40,696 ton. Homoscedasticity tests for Lim5000 and LCM resulted in p-value <0.01, with a difference in $CO_2$ absorption of 1,673 ton. Given that $CO_2$ absorption in forests is an important factor that reduces greenhouse gas emissions, the findings of this study should provide fundamental information for supporting a wide range of decision-making processes for land use and management.

• Journal of Radiation Protection and Research
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• v.30 no.4
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• pp.175-183
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• 2005

Dose distribution of Korean radiation workers classified by occupational categories was analyzed. Statistics of the occupational radiation exposure(ORE) in 2002 of the radiation workers in diagnostic and dental radiology were obtained from the Korea Food and Drug Agency(KFDA) who maintains the database for individual radiation dose records. Corresponding statistics for the rest of radiation workers were obtained by processing the individual annual doses provided by the Korea Radioisotope Association(KRIA) after deletion of individual information. The ORE distribution was classified in term of 28 occupational categories, annual individual dose levels, age groups and gender of 52733 radiation workers as of the year of 2002. The total collective dose was 66.4 man-Sv and resulting average individual ORE was 1.26 mSv. Around 80% of the workers were exposed to minimal doses less than 1.2 mSv. However, it appeared that the recorded doses exceeded 20 mSv for 43 workers in the industrial radiography and for 147 workers in the field of radiology. Particularly, recorded doses of 23 workers in radiology exceeded the annual dose limits of 50 mSv, which is extraordinary when the working environment is considered. It is uncertain whether those doses are real or caused by careless placing of dosimeters in the imaging rooms while the X-ray units are in operation. No one in the workforce of 16 operating nuclear power plant units was exposed over 20 mSv in 2002. Number of workers was the largest in their 30's of age and the mean individual dose was the highest in their 20's. Women were around 20% of the radiation workers and their average dose was around one half of that of man workers.