• Proceedings of the Korean Environmental Sciences Society Conference
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• 2007.05a
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• pp.312-314
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• 2007

준설토를 이용하여 인공습지를 조성하는 기술을 개발하기 위한 기초연구로 준설토를 이용하여 인공습지 시험구를 조성하고 조성된 시험구 내 환경변화를 모니터링 하였다. 약 4개월에 걸친 모니터링 결과 준설토에 함유된 유기물의 함량은 시간이 지남에 따라 감소되었으며 미생물의 생균수는 점차적으로 증가되어 준설토를 이용한 인공습지 환경조성의 가능성을 확인할 수 있었다. 하지만 앞으로 다양한 항목에 대한 보다 지속적인 모니터링이 필요한 것으로 판단되었다.

• Journal of the Korean Society for Marine Environment & Energy
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• v.11 no.2
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• pp.63-69
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• 2008

As a basic study on the creation of artificial tidal flats using dredged sediments, the pilot-scale artificial tidal flats with 4 different mixing ratio of ocean dredged sediment were constructed in Nakdong river estuary. The phragmites australis was transplanted from the adjacent phragmites australis community after construction, and then the survival and growth rate of the planted phragmites australis were measured. Also the changes of soil chemical oxygen demand (COD), ignition loss (IL), and the heterotrophic microbial numbers were monitored. The survival rate of the planted phragmites australis decreased as the mixing ratio of dredged sediment increased but there was little difference of length and diameter of the shoots. 30% of COD and 9% of IL in the tidal flat with 100% dredged sediment decreased after 202 day, however, fluctuations of COD and IL concentrations were also observed possibly due to the open system. It was suggested that the construction of tidal flats using ocean dredged sediment and biological remediation of contaminated ocean dredged sediment can be possible considering the growth rate of transplanted phragmites australis, decrease of organic matter and increased heterotrophic microbial number in the pilot plant with 100% dredged sediment. However, the continuous monitoring on the vegetation and various environmental factors in the artificial tidal flat should be necessary to evaluate the success of creation of artificial flats using dredged sediments.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.23-26
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• 2022

딥 러닝 모델은 블랙 박스 (Black Box) 모델로 예측에 대한 근거를 제시하지 못해 신뢰성이 떨어지는 단점이 존재한다. 이를 해결하기 위해 딥 러닝 모델에 설명력을 부여하는 설명 가능한 인공지능 (XAI) 분야 연구가 활발하게 이루어지고 있다. 본 논문에서는 모델 예측을 프로토타입을 통해 설명하는 딥 러닝 모델을 제시한다. 즉, "주어진 이미지는 티셔츠인데, 그 이유는 티셔츠를 대표하는 모양의 프로토타입과 닮았기 때문이다."의 형태로 딥 러닝 모델을 설명한다. 해당 모델은 Encoder, Prototype Layer, Classifier로 구성되어 있다. Encoder는 Feature를 추출하는 데 활용하고 Classifier를 통해 분류 작업을 수행한다. 모델이 제시하는 분류 결과를 설명하기 위해 Prototype Layer에서 가장 유사한 프로토타입을 찾아 설명을 제시한다. 실험 결과 프로토타입 생성 기반 설명 모델은 기존 이미지 분류 모델과 유사한 예측 정확도를 보였고, 예측에 대한 설명력까지 확보하였다.

• Journal of the Korean Magnetics Society
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• v.16 no.3
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• pp.182-185
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• 2006

In this work, we have constructed 3-axis flux-gate magnetometer for the attitude control of satellite. The constructed magnetometer shows uncertainty of ${\pm}1%$, noise level of $0.2nT/\sqrt{Hz}$ at 1 Hz under 1W power consumption. Environment test for satellite component, acceleration test and thermal cycle test were carried out. For the acceleration test, magnetometer was vibrated frequency ranging from 10 Hz to 1 kHz at 15 g (g : gravitational acceleration at earth), and for thermal cycle test, 4 times of thermal cycle were carried out temperature ranging from $-55^{\circ}C\;to\;+80^{\circ}C$ under vacuum of $1x10^{-6}Torr$.

• Journal of the Korean GEO-environmental Society
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• v.17 no.6
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• pp.33-41
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• 2016

This study attempted to investigate drain capacity and vegetation potential of made-planting soil via finite element simulations. Engineering drain capacity of made-planting soil can be evaluated by an analysis of unsaturated soils. In a perspective for vegetation landscape, it is necessary to check whether the minimum amount of water in the made-planting soil can be supplied for the survival of plants. Herein, 1-m high soil column covered by made-planting soil were numerically simulated. Numerical results showed that how the coefficient of permeability of saturated soil and soil-water characteristics of unsaturated soil are considered significantly influences the drain capacity of soils. Variation in the volumetric water content within the Least Limiting Water Range (LLWR) provides us with information on whether the soil can contain a sufficient amount of water for the plants to survive the drought.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.290-290
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• 2020

연구지역인 충청남도 홍성군 갈산면 신곡마을은 상시 가뭄지역으로서 농번기 물부족을 겪고 있으며, 물 확보의 수단으로서 지하수 인공함양이 고려되고 있다. 본 연구에서는 수치모델을 이용하여 수직정 방식의 지하수 인공함양시 주입 효과를 예비 평가하였다. 모델 지역은 가로 세로 2,450 × 2,350 m로서 10 × 10 m 간격의 격자로 구성하였으며, 현장에서 실시된 지하수위 조사 및 9공의 시추조사, 1개공의 양수시험 결과로부터 수리전도도, 지층분포 등을 구성하였다. 정류모델결과, 실측 및 예측 지하수위의 표준오차(Standard error of the estimate)는 0.53 m, 표준화제곱근오차(Normalized RMS)는 6.79%, 상관계수는 0.99%로 나타났다. 수직정을 통한 주입 효과를 평가하기 위하여, 주입량을 5 ㎥/d, 10 ㎥/d, 15 ㎥/d, 20㎥/d, 주입기간을 1일, 3일, 7일, 우물의 개수를 1개, 3개, 5개일 때 등 다양한 조건하에서의 부정류 모델을 수행하였다. 이로부터 주입의 효과인 지하수위 상승량 및 상승 범위 등을 토대로 물 부족 기간의 인공함양 시나리오(주입정의 위치, 갯수, 심도, 기간 등)를 예비적으로 제시하였으며, 추후 정밀 모델 및 실제 현장 주입 시험 등을 토대로 인공함양 설계를 추진할 예정이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.715-718
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• 2021

본 연구는 최근 10년간 발표된 국내 학술지 및 학위논문을 대상으로 체계적 문헌고찰을 실시하였다. 이를 통해 인공지능교육에 대한 연구 활동 추이를 살펴보고, 향후 연구 방향성을 위한 기초자료를 확보하는 것을 목표로 한다. 연구방법으로는 학술연구정보서비스 데이터베이스를 활용하였고, '인공지능교육', '인공지능교육프로그램', 'AI교육' 등을 키워드로 검색하였다. 최종적으로 선정된 문헌은 51편이었으며 선정된 문헌의 연도별 발표 현황, 연구대상, 연구주제어에 대해 분석하였다. 그 결과 인공지능교육 연구 활동은 2020년부터 많은 연구가 시작되었으며 초등학생을 대상으로 한 연구가 가장 많았고, 키워드로는 인공지능, 인공지능교육, 초등학교, 소프트웨어교육, 언플러그드컴퓨팅 순으로 나타났다. 이를 토대로 향후 중·고등학교에 인공지능 적용 연구를 하고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.3
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• pp.147-154
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• 2008

Weathered soil slope loses its shear strength if it is exposed in the air for a long time or in contact with water. And this kind of strength loss is remarkable in dam slope which has very big difference in water level according to the season. In this study, shear strength loss of weathered soil due to saturation had been found out through dryness and wetness repetition direct shear test. Also relation between penetration blow number(Nc) and shear strength parameter had been found out through small sized dynamic cone penetration test device and the correlation equation of Nc had been proposed through artificial neural network analysis to estimate shear strength parameter easily.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.20 no.4
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• pp.185-191
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• 2010

To effectively utilize resources of reject ash and dredged soil, globular shape-formed artificial lightweight aggregate were manufactured in 8~10 mm size. Starting materials were changed various grading and composition, sintered at $1050{\sim}1250^{\circ}C$. The specific gravity, water absorptance of artificial lightweight aggregates were measured on the basis of the KS. In this study could make a prediction about application of bloating mechanism by ferrous materials and alkali/alkali-earth oxide at high temperature.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.23 no.3
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• pp.146-151
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• 2013

In this study, the effect of addition of waste glassy slag produced from recycling of spent catalyst (denoted as waste glass hereafter) on the physical properties of artificial aggregates made of coal bottom ash and dredged soil (7 : 3 by weight base) was evaluated. Especially, the bloating behavior of artificial aggregates was analyzed by performing the relation study between the apparent density, water absorption and microstructure. The apparent density of artificial aggregates increased slightly with sintering temperature at $1050{\sim}1150^{\circ}C$, but decreased above $1150^{\circ}C$ showing bloating phenomenon. The bloating behavior of artificial aggregates was decreased so the apparent density increased with amount of waste glass added. Also, the water absorption of artificial aggregates decreased with sintering temperature. Above $1200^{\circ}C$, big fissure and much liquid were formed at the surface of artificial aggregates and these phenomena could be suppressed by increasing amount of waste glass added. The artificial aggregates fabricated in this study had an apparent density of 1.1~1.6 and water absorption of 8~22 % which meet KS requirements for the artificial lightweight aggregates.