• 한국대기환경학회지
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• 제27권1호
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• pp.1-15
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• 2011

Korea Global Atmosphere Watch Center (KGAWC), which is located in Anmyeondo and, belongs to the Korea Meteorological Administration (KMA), measures sulfur hexafluoride ($SF_6$) in every hour since 2007. In this study, $SF_6$ observed in 2007 are discussed. A gas chromatograph-electron capture detector (GC-ECD) with pre-cooled device is applied during the observation, and produced data are qualified by means of periodic calibration with $SF_6$ standard gas made by Korea Research Institute of Standard and Science (KRISS). $SF_6$ has been greatly paid attention since Kyoto protocol because of its high global warming potential(GWP) with 22,200 times of $CO_2$ in the period of 100 years. It is a man-made compound and has been usually used for gas insulation since 1970s and for etching process in the information technology-based industry since 1990. Average mixing ratio of $SF_6$ in 2007 was 6.65 pmol/mol at Anmyeondo. According to the GAW report published in 2008, average mixing ratio of $SF_6$ in the atmosphere is continuously growing. At present, the average mixing ratio of $SF_6$ in the atmosphere is known to be approximately 6.25 pmol/mol at global observatory. $SF_6$ value in Anmyeondo shows 0.40 pmol/mol greater than that of the Mauna Loa observatory in 2007.

• Nuclear Engineering and Technology
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• 제46권3호
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• pp.313-342
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• 2014

A Nuclear Energy Agency (NEA), Organization for Economic Co-operation and Development (OECD) benchmark for Uncertainty Analysis in Modeling (UAM) is defined in order to facilitate the development and validation of available uncertainty analysis and sensitivity analysis methods for best-estimate Light water Reactor (LWR) design and safety calculations. The benchmark has been named the OECD/NEA UAM-LWR benchmark, and has been divided into three phases each of which focuses on a different portion of the uncertainty propagation in LWR multi-physics and multi-scale analysis. Several different reactor cases are modeled at various phases of a reactor calculation. This paper discusses Phase I, known as the "Neutronics Phase", which is devoted mostly to the propagation of nuclear data (cross-section) uncertainty throughout steady-state stand-alone neutronics core calculations. Three reactor systems (for which design, operation and measured data are available) are rigorously studied in this benchmark: Peach Bottom Unit 2 BWR, Three Mile Island Unit 1 PWR, and VVER-1000 Kozloduy-6/Kalinin-3. Additional measured data is analyzed such as the KRITZ LEU criticality experiments and the SNEAK-7A and 7B experiments of the Karlsruhe Fast Critical Facility. Analyzed results include the top five neutron-nuclide reactions, which contribute the most to the prediction uncertainty in keff, as well as the uncertainty in key parameters of neutronics analysis such as microscopic and macroscopic cross-sections, six-group decay constants, assembly discontinuity factors, and axial and radial core power distributions. Conclusions are drawn regarding where further studies should be done to reduce uncertainties in key nuclide reaction uncertainties (i.e.: $^{238}U$ radiative capture and inelastic scattering (n, n') as well as the average number of neutrons released per fission event of $^{239}Pu$).

• 치과방사선
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• 제24권1호
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• pp.85-94
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• 1994

The purposes of this study were clinical comparison and evaluation between digital radiography and conventional radiography for the detection of artificial interproximal caries. Four freshly extracted, unrestored posterior teeth were obtained and caries was simulated by drilling semicircled defects with variable size at the interproximal surface of each tooth. The experiments were performed with IBM-PC/32 bit-DX compatible, video camera(VM-S8200, Hitachi Co., Japan), and color monitor(Multisync 3D, NEC, Japan). Sylvia Image Capture Board for the ADC(analog to digital converter) was used, and spatial resolution was 512 × 480 with 256 gray levels. The obtained results were as follows: 1. At the condition of under exposure, the radiographs were superior to the digital images in readability. Also, as the size of the artificial lesion was increased, readability of the radiographs was elevated. 2. The digital images were superior to the radiographs in readability especially under over exsposure. 3. As the exposure time and size of lesion was increased, the gray level of region of interest of the digital image was decreased proportionally. 4. As the F-value of average gray level of region of interest at individual exposure time and size of lesion, gray level of the all lesion sizes was decreased in comparison with that of the normal enamel.

• Journal of Forest and Environmental Science
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• 제29권4호
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• pp.249-256
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• 2013

The aim of the study was to reveal the scope and benefits derives from establishing carbon forests in a country like Bangladesh. Carbon forestry is the modernized forestry practice that evolves no cutting of trees or vegetation rather conserves them in the wood. Trees might be the source of carbon sink at large scale by establishing carbon forests. To find out how and in what extent forests of Bangladesh could contribute to global emission reduction, tree species of economic importance were taken into account about their carbon sequestration potential. Data source was a secondary one. Bangladesh has subtropical evergreen and deciduous forest tree species. Here trees can sequester almost 45-55 percent organic carbon in their biomass. On an average, trees in different types of stands can sequester 150-300 tC/ha. Carbon value of these forests might be 7,500-15,000 USD per hactre (assuming 50 USD per equivalent $tCO_2$). Thus, accounting tree carbon credits of total forested lands of Bangladesh, there might be a lump sum value of $1.89{\times}10^{10}-3.79{\times}10^{10}$ USD. If soil carbon is added, this amount would jump. Alternatively, there are two times higher spaces as marginal lands than this for starting carbon forestry. However, carbon forestry concept is still a theoretical conception unless otherwise their challenges are addressed and solved. Despite of this, forests of Bangladesh might be the key showcase for conserving biodiversity in association with carbon capture. Protected areas in Bangladesh are of government wealth, however, degraded and denuded waste and marginal lands might be the best fit for establishing carbon forests.

• Structural Engineering and Mechanics
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• 제69권4호
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• pp.407-416
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• 2019

This paper develops a wireless sensor for online fatigue crack detection and failure warning based on crack-induced nonlinear ultrasonic modulation. The wireless sensor consists of packaged piezoelectric (PZT) module, an excitation/sensing module, a data acquisition/processing module, a wireless communication module, and a power supply module. The packaged PZT and the excitation/sensing module generate ultrasonic waves on a structure and capture the response. Based on nonlinear ultrasonic modulation created by a crack, the data acquisition/processing module periodically performs fatigue crack diagnosis and provides failure warning if a component failure is imminent. The outcomes are transmitted to a base through the wireless communication module where two-levels duty cycling media access control (MAC) is implemented. The uniqueness of the paper lies in that 1) the proposed wireless sensor is developed specifically for online fatigue crack detection and failure warning, 2) failure warning as well as crack diagnosis are provided based on crack-induced nonlinear ultrasonic modulation, 3) event-driven operation of the sensor, considering rare extreme events such as earthquakes, is made possible with a power minimization strategy, and 4) the applicability of the wireless sensor to steel welded members is examined through field and laboratory tests. A fatigue crack on a steel welded specimen was successfully detected when the overall width of the crack was around $30{\mu}m$, and a failure warnings were provided when about 97.6% of the remaining useful fatigue lives were reached. Four wireless sensors were deployed on Yeongjong Grand Bridge in Souht Korea. The wireless sensor consumed 282.95 J for 3 weeks, and the processed results on the sensor were transmitted up to 20 m with over 90% success rate.

• Advances in Energy Research
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• 제6권1호
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• pp.75-90
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• 2019

Anthropogenic greenhouse gas emissions are rising rapidly despite efforts to curb release of such gases. One long term potential solution to offset these destructive emissions is the capture and storage of carbon dioxide. Partially depleted hydrocarbon reservoirs are attractive targets for permanent carbon dioxide disposal due to proven storage capacity and seal integrity, existing infrastructure. Optimum well completion design in depleted reservoirs requires understanding of prominent geomechanics issues with regard to rock-fluid interaction effects. Geomechanics plays a crucial role in the selection, design and operation of a storage facility and can improve the engineering performance, maintain safety and minimize environmental impact. In this paper, an integrated geomechanics workflow to evaluate reservoir caprock integrity is presented. This method integrates a reservoir simulation that typically computes variation in the reservoir pressure and temperature with geomechanical simulation which calculates variation in stresses. Coupling between these simulation modules is performed iteratively which in each simulation cycle, time dependent reservoir pressure and temperature obtained from three dimensional compositional reservoir models in ECLIPSE were transferred into finite element reservoir geomechanical models in ABAQUS and new porosity and permeability are obtained using volumetric strains for the next analysis step. Finally, efficiency of this approach is demonstrated through a case study of oil production and subsequent carbon storage in an oil reservoir. The methodology and overall workflow presented in this paper are expected to assist engineers with geomechanical assessments for reservoir optimum production and gas injection design for both natural gas and carbon dioxide storage in depleted reservoirs.

• 한국건설순환자원학회논문집
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• 제11권4호
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• pp.324-331
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• 2023

본 연구에서는 유리석회 함량이 다른 순환유동층 보일러 애시의 수화특성 및 탄산화 특성에 대해 조사하였다. 또한, free-CaO 함량이 높은 CFBC ash를 탄산화 양생 전처리를 하여 시멘트계 재료로의 활용 가능성을 살펴보았다. Free-CaO 함량이 높은 CFBC ash를 혼합한 경우 급결의 양상을 보였으며 낮은 초기 압축강도를 나타냈다. Free-CaO 함량이 높은 CFBC ash를 탄산화 양생하였을 때, 양생 기간에 따라 이산화탄소 포집량이 증가하였다. 또한, free-CaO 값이 함께 감소하였으며 free-CaO가 이산화탄소와 반응한 것으로 보인다. Free-CaO 함량이 높은 CFBC ash를 탄산화 양생 전처리를 한 경우 급결이 나타나지 않았으며, 초기 압축강도도 향상된 것을 확인할 수 있었다. 연구 결과 free-CaO 함량이 높은 CFBC ash의 경우 적절한 탄산화 양생을 통해 시멘트계 재료로 활용 가능성이 높은 것으로 나타났다.

• 청정기술
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• 제25권3호
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• pp.245-255
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• 2019

가압순산소 연소는 발전 공정의 온실가스 포집 기술의 하나로서, $CO_2$의 압축 전 단계에 FGC (Flue gas condensor)를 통해 배가스 내 수분의 잠열을 회수하여 효율을 높일 수 있다. 또한 FGC는 가스의 용해도를 이용하여 $SO_x$ 및 $NO_x$를 동시에 효과적으로 제거할 수 있는 장점이 있다. 이 연구에서는 FGC의 방식 중 하나로서 직접 접촉식 응축기를 고안하여 $SO_x$ 및 $NO_x$의 저감율을 평가하였다. 특히 가스가 물에 직접 통과할 때 용해를 통한 저감효율을 측정하기 위해 단독가스와 혼합가스로 분리하여 상압에서 10 bar까지의 압력조건을 변수로 실험을 진행하였다. 단독 가스 실험결과 $NO_x$는 상압에서 저감율이 약 20%, 10 bar 압력조건에서 약 76%로 크게 증가하였다. 또한 $SO_2$는 높은 용해도로 전량이 용해하여 초기 저감율에 큰 차이가 나타나지 않았으나, 압력이 증가할수록 최고 저감율이 유지되는 시간이 증가하였다. 동시저감 실험 결과 상압에서 $NO_x$의 저감율은 13%이나, 압력이 상승할수록 헨리법칙에 의한 용해도 증가에 따라 20 bar에서 56%로 증가하였다. $SO_2$는 초기에 다량 용해된 후 다시 배출 농도가 증가하는 폭이 상압에서는 1,219 ppm, 20 bar에서는 165 ppm으로 감소하였다. 결론적으로 $NO_x$ 및 $SO_x$ 모두 압력이 높아질수록 저감율이 증가하였으나, 단독가스 실험과 비교하면 저감율이 감소함을 확인하였다. 이는 혼합가스 투입으로 인해 반응기 내부에 채운 물의 산성화가 빠르게 이루어졌기 때문이다.

• 한국환경농학회지
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• 제40권2호
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• pp.134-141
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• 2021

본 연구는 축산물 중 퀴녹사린계 살균제 chinomethionat의 잔류분석법을 확립하였다. 소고기, 돼지고기, 닭고기, 우유, 계란을 대표 시료로 선정하고 GC-ECD를 이용한 chinomethionat 단성분 정량 시험법을 개발하였다. 축산물 중 chinomethionat 잔류물을 acetone/dichloromethane (9/1, v/v)로 추출하고 추출첨가제 MgSO₄ 및 NaCl을 첨가한 후, dichloromethane로 분배하고 Florisil 흡착제로 정제하였다. 축산물 중 chinomethionat 정량한계는 0.02 mg/kg으로 결정되었으며, MLOQ 수준의 회수율은 84.8-100.9%, MLOQ 10배 수준에서는 85.7-103.0%의 우수한 회수율을 보였으며, 분석오차는 최대 5.2%로 재현성 역시 양호하였다. 본 연구에서 확립한 chinomethionat의 잔류분석법은 국내·외 축산물의 잔류농약 검사 및 분석에 적용 가능할 것으로 기대된다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제12권10호
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• pp.461-470
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• 2023

딥러닝을 활용한 스피치 애니메이션 생성은 영어를 중심으로 활발하게 연구되어왔지만, 한국어에 관해서는 사례가 없었다. 이에, 본 논문은 최초로 지도 학습 딥러닝을 한국어 스피치 애니메이션 생성에 활용해 본다. 이 과정에서, 딥러닝이 스피치 애니메이션 연구를 그 지배적 기술인 음성 인식 연구로 귀결시킬 수 있는 중요한 효과를 발견하게 되어, 이 효과를 한국어 스피치 애니메이션 생성에 최대한 활용하는 방법을 고찰한다. 이 효과는 연구의 최우선 목표를 명확하게 하여, 근래에 들어 활발하지 않은 한국어 스피치 애니메이션 연구를 효과적이고 효율적으로 재활성화하는데 기여할 수 있다. 본 논문은 다음 과정들을 수행한다: (i) 블렌드쉐입 애니메이션 기술을 선택하며, (ii) 딥러닝 모델을 음성 인식 모듈과 표정 코딩 모듈의 주종 관계 파이프라인으로 구현하고, (iii) 한국어 스피치 모션 캡처 dataset을 제작하며, (iv) 두 대조용 딥러닝 모델들을 준비하고 (한 모델은 영어 음성 인식 모듈을 채택하고, 다른 모델은 한국어 음성 인식 모듈을 채택하며, 두 모델이 동일한 기본 구조의 표정 코딩 모듈을 채택한다), (v) 두 모델의 표정 코딩 모듈을 음성 인식 모듈에 종속되게 학습시킨다. 유저 스터디 결과는, 한국어 음성 인식 모듈을 채택하여 표정 코딩 모듈을 종속적으로 학습시킨 모델 (4.2/5.0 점 획득)이, 영어 음성 인식 모듈을 채택하여 표정 코딩 모듈을 종속적으로 학습시킨 모델 (2.7/5.0 점 획득)에 비해 결정적으로 더 자연스러운 한국어 스피치 애니메이션을 생성함을 보여 주었다. 이 결과는 한국어 스피치 애니메이션의 품질이 한국어 음성 인식의 정확성으로 귀결됨을 보여 줌으로써 상기의 효과를 확인해준다.