• Korean Journal of Remote Sensing
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• v.36 no.5_1
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• pp.823-833
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• 2020

In order to stably produce crops, there is an increasing demand for effective crop monitoring techniques in domestic agricultural areas. In this manuscript, a cultivation area extraction method by using deep learning model is developed, and then, applied to satellite imagery. Training dataset for crop cultivation areas were generated using RapidEye satellite images that include blue, green, red, red-edge, and NIR bands useful for vegetation and environmental analysis, and using this, we tried to estimate the crop cultivation area of onion and garlic by deep learning model. In order to training the model, atmospheric-corrected RapidEye satellite images were used, and then, a deep learning model using FC-DenseNet, which is one of the representative deep learning models for semantic segmentation, was created. The final crop cultivation area was determined as object-based data through combination with cadastral maps. As a result of the experiment, it was confirmed that the FC-DenseNet model learned using atmospheric-corrected training data can effectively detect crop cultivation areas.

• Journal of the korean Society of Automotive Engineers
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• v.5 no.3
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• pp.8-15
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• 1983

1960년초 이래 우리나라는 고도의 경제성장을 이룩하게 되었으며 이러한 경제성장에 따른 산업화 사회의 특징인 공업화 도시화 인구집중 현상은 우리나라에도 심각한 환경오염 문제를 야기시켜 왔다. 또한 같은 기간동안 자동차의 보유대수 역시 급격한 증가를 보여왔던바, 1962년 30,000 대에서 1982년도 자동차 등록대수는 약 640,000대로 증가하게 되었으며 대부분의 자동차가 대 도시에 집중되어 있다. 특히 전체 차량의 40%가 집중되어 있는 서울시의 경우에는 자동차 배 출가스로 인한 대기오염문제가 도시민의 건강과 재산에 많은 피해를 일으키게 되었다. 우리나 라는 선진 외국의 대도시에 비해 자동차의 1일 주행거리가 3배 내지 5배를 더 주행하고 있고 자동차 배출가스 기준의 완화, 노후차량의 증가, 도로율의 불황 및 도로조건의 불비 등은 도시 중심천의 자동차 집중현상과 함께 자동차 배출가스로 인한 대기오염 문제가 보다 더 심각하게 우려되었고, 따라서 자동차 배출가스규제 강화의 필연성이 계속해서 주장되어 왔다. 자동차로 인한 공해문제는 1940년도 후반 미국 남부 California 지방에서 광화학스모그의 발생과 함께 거 론되기 시작하였으나 본격적으로 문제가 제기된 것은 급격한 자동차 증가로 인한 도시민의 건 강피해가 발생하기 시작한 것은 1960년대이다. 처음으로 규제되기 시작한 것은 1965년 미국에서 "자동차 오염방지법"의 제정부터이며 1968년부터 자동차 배출가스에 대한 규제가 시작되었다. 한편 일본은 1973년, 유럽에서는 1975년부터 일산화탄소, 탄화수소, 질소산화물 및 매연에 대한 규제를 시작하게 되었다. 우리나라에서는 "도로운송차량법"에서 도로교통의 안전과 질서유지라는 측면에서 일부 규제하여 오다가 1977년말 "환경보전법"이 제정 공포되면서 1980년 1월 환경정의 발족과 함께 실제로 자동차 배출가스를 규제하게 되었다.발족과 함께 실제로 자동차 배출가스를 규제하게 되었다.을 SUP7H종으로 더욱 향상된 것이 실용 화되고 있다. 아래에서 이에 대한 기계적 특성을 중심으로 검토키로 한다.9%내인 0.07cm 정도였으나 1973년과 1974년의 방축년에는 조차 3개 처리구(3.4-5.18cm)에 필적되는 연평균 4.16cm로 나타났다. 5. 전체 시험구로부터으 연평균 토양유실량은 Sharpsburg 점질양토에 대한 S.C.S 한계허용치 10ton/ha/year 이내로 나타났다. 비처리구에서의 토양유실량은 평균 2.56ton/ha/year로 높게 나타난 반면 3개의 서로 다른 추리구인 비수구, 초생수로구 및 Bromegrass구에서는 각각 0.152, 0.192 및 0.290ton/ha/year로 낮은 결과를 가져왔다. 6. 평균 침전량에 대한 L.S.D. 검정 걸과 전시험구중 비처리구가 고도의 유의차를 나타낸 반면 비수구, 초생수로구 및 Bromegrass 목초구 간에는 아무런 유의차가 인정되지 않았다. 7. 농지보전 처리구인 배수구와 초생수로구는 비처리구에 비해 낮은 침두 유출량과 낮은 토양유실량을 나타내었다.구보다 14% 절감되는 것으로 나타났다.작용하는 것으로 사료된다.된다.정량 분석한 결과이다. 시편의 조성은 33.6 at% U, 66.4 at% O의 결과를 얻었다. 산화물 핵연료의 표면 관찰 및 정량 분석 시험시 시편 표면을 전도성 물질로 증착시키지 않고, Silver Paint 에 시편을 접착하는 방법으로도 만족한 시험 결과를 얻을 수 있었다.째, 회복기 중에 일어나는 입자들의 유입은 자기폭풍의 지속시간을 연장시키는 경향을 보이며 큰 자기폭풍일수록 현저했다. 주상에서 관측된 이러한 특성은 서브스톰 확장기 활동이 자기폭풍의 발달과 밀접한 관계가 있음을 시사한다.se that were all low in two aspects, named "the Nonsignificant group". And the issues were high risk perception in

• Journal of Korean Society of Environmental Engineers
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• v.38 no.8
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• pp.435-443
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• 2016

In this study, MACT (Maximum Achievable Control Technology) application effect was evaluated for minimization of benzene fugitive emission in petrochemical industry. Although fugitive emission for benzene in the nation was regulated by the Clean Air Conservation Act from 2015, the US EPA already has introduced MACT standard to minimize its emission with up-to-date technology since 1995. EPA Emission Factor (AP-42) and EPA MACT Standard Guideline were used to assess MACT application effect. As a result, For MACT application it could reduce benzene emission up to 98% (average) comparing with uncontrolled facility, while the national regulation could achieve about 95% (average) reduction which is slightly lower than MACT. However there is no control measure in the national regulation to reduce benzene emission for vessel loading even though MACT standard requires preventive facility such as VRU (Vapor Recovery Unit). For further reduction of benzene emission, it needs to be mandatory for operation of VRU when benzene product is loaded in vessel. These efforts could contribute to achieve the global level for benzene emission management in national petrochemical industry.

• Korean Journal of Remote Sensing
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• v.29 no.4
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• pp.415-421
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• 2013

A new approach to retrieve the single-scattering albedo (SSA) of Asian dust plume, mixed with pollution particles, using multi-wavelength Raman lidar system was suggested in this study. Asian dust plume was separated as dust and non-dust particle (i.e. spherical particle) by the particle depolarization ratio at 532 nm. The vertical profiles of optical properties (the particle extinction coefficient at 355 and 532 nm and backscatter coefficient at 355, 532 and 1064 nm) for non-dust particle were used as input parameter for the inversion algorithm. The inversion algorithm provides the vertical distribution of microphysical properties of non-dust particle only so that the estimation of the SSA for the Asian dust in mixing state was suggested in this study. In order to estimate the SSA for the mixed Asian dust, we combined the SSA of non-dust particles retrieved by the inversion algorithms with assumed the SSA of 0.96 at 532 nm for dust. The retrieved SSA of Asian dust plume by lidar data was compared with the Aerosol Robotics Network (AERONET) retrieved values and showed good agreement.

• Korean Chemical Engineering Research
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• v.50 no.6
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• pp.1056-1063
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• 2012

Recent rapidly growth in nanotechnolgies is promised novel benefits through the exploitation of their unique industrial and biomedical applications. With increasing utilization of nanomaterials in consumer products, the potential release of nanomaterials into the environment and their impacts on the ecosystem and human health have been the issues of concern. Nanomaterials that was exposed unintentionally in environment might be accumulated in various environmental media, and finally it will be influenced to human and ecosystems. Therefore, it is important to understand the fate and behavior of nanoparticles for understanding effects on environmental media (air, water, and soil phase). Therefore, in this work, we investigated the several cases for environmental exposure of nanomaterials and suggested the direction of further research. In workplace, exposure to air media is dominant, but finally waste and wastewater was moved to the water and soil phase. In addition, we found the existing sewage treatment plant was not suitable to remove completely nanomaterials in wastewater flow. To deeper study, environmental monitoring tool must be developed additionally and we suggested the several analyzing method for aged and pristine physicochemical properties of nanomaterials exposed into environmental media. This review for nanomaterials' exposure to environmental media will be helpful to investigate the environmental fate of nanomaterials and define the suitable treatment method for nano-waste.

• Korean Journal of Ecology and Environment
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• v.46 no.2
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• pp.310-318
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• 2013

In territorial ecosystem, soil has stored considerable amount of carbon, and it is vulnerable to weakness release much of the carbon to atmosphere. In this study, we have been effort realization and discussion to the error between inter-instruments and measurement methods, time and special variations, gap filling and separation from each source included in soil respiration, used to collect soil respiration data in various ecosystems in Korea. In conclusion, it have to collect calibration data throughout comparison test between methods and instruments because accumulated data from past and accumulating data in present did not calibrated. In predicting change of soil carbon dynamic using the model method, it needs important data such as longterm and short-term data, artificial handling data of major factor, data from various ecosystem, soil texture, soil depth etc. In company with, we should collect highly qualified data through deep consideration of present problems.

• Resources Recycling
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• v.14 no.4 s.66
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• pp.47-52
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• 2005

Carbonate species in aqueous solution play an important role in the determination of chemical properties of water in relation with alkalinity, buffer capacity, biological productivity, and so on. These compounds also have reactive characteristics such as interphasal reactions between solid, liquid, and gas phases. In the absence of solid materials, the total amount and relative abundance of each carbonate species are directly influenced by the partial pressure of $CO_2$ gas in the atmosphere, which in turn significantly affects the properties of aquatic system. In the water/wastewater treatment process along with the wastes treatment and recycling process which occurring in aquatic environment, it is essential to figure out its characteristics for their optimization and one of its most influential features upon these processes is determined by carbonate species. To understand the fundamental aspect of the relationship between the partial pressure of $CO_2$ gas and chemical features of water, especially pH, the working partial pressure of pure $CO_2$ gas that produced by contacting the dry ice with water has been estimated based on equilibrium calculation. The equilibrium constants for the dissociation ot carbonic acid were determined using van't Hoff equation and the distribution diagram of carbonate species according to the pH has been constructed to substantiate the results of equilibrium calculation. The estimated working partial pressure of pure $CO_2$ gas was found to be a function of the concentration of carbonates in solution, which suggesting that Prior evaluation of the working partial pressure of gas is essential for a better understanding of aquatic interactions.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.73-73
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• 2019

지구 표면의 약 2%에 해당하는 담수에서 육상계 전체가 흡수하는 탄소의 50%가 배출되며, 이는 토양표면에서 배출되는 탄소량에 비해 더 큰 수치로 전 지구적 탄소순환 해석에 중요한 역할을 한다. 특히, 내륙수역과 대기의 경계면에서 $CO_2$ 이동은 전 지구적 탄소순환의 중요한 구성요소로 평가되고 있다. 호수와 저수지 같은 담수 저류시설은 육상에서 기인한 탄소의 운송 및 처리 역할을 한다. 하지만, 저수지에서 온실가스배출량을 평가할 수 있는 명확한 방법론이 부족하며, 전지구 규모 GHGs배출량에 대한 추정에 대한 불확실성이 상당히 큰 상황이다. 본 연구에서는 몬순기후대에 위치한 인공저수지를 대상으로 보다 신뢰도있는 온실가스 배출량 추정을 위해 $CO_2$ NAF 산정하고, 산정에 영향을 미치는 인자들을 분석 하였다. 분석을 위해 $CO_2$ NAF 산정에 필요한 수리 및 수질 인자들을 2017년부터 2018년까지 수집하고, 기초통계량 및 상관분석을 실시하였다. 또한, 주성분분석(PCA) 및 다중선형회귀모델(MLR)과 랜덤포레스트(RF) 기법을 사용해 변수 중요도를 평가하였으며, $CO_2$ NAF 산정 주요인자인 기체교환 계수를 경험적 모델 3종(Cole and Caraco, Crusius, Vachon), 표면갱신형 모델 4종(Heiskanen, Maclntyre, Read, Soloviev)을 비교, 검토하였다. 조사기간 동안 기체교환계수 산정 결과 Crusius 모델 예측값이 평균 $0.342(0.047{\sim}4.323)cm\;hr^{-1}$으로 검토한 모델중 가장 낮은 평균값을 보였으며, Heiskane 모델이 $2.135(0.337{\sim}5.152)cm\;hr^{-1}$으로 가장 큰 평균값을 보였다. 대상 수체는 연주기로 완전혼합되며 수온성층이 약화되는 시기에 저수지 표층 아래에 축적된 탄소가 표층으로 전달되어 높은 수준의 p$CO_2$를 보이며, 수표면에 큰 난류 강도가 작용하는 기간에 대기중으로 배출(pulse emission) 기작이 나타난다. NAF 산정결과 경험적 모델의 NAF값($-1246.0{\sim}6510.3mg-CO_2m^{-2}day^{-1}$)은 표면갱신형 모델 NAF값($-1436.1{\sim}8485.7mg-CO_2m^{-2}day^{-1}$)보다 낮은 수준을 보였으며, 풍속의 함수만을 이용하는 경험적 모델보다 부력 플럭스와 난류 혼합의 영향을 고려하는 Macintyre, Heiskanen모델이 성층 저수지의 $CO_2$ NAF 산정에 적합한 것으로 나타났다. $CO_2$ NAF 산정의 주요인자로 MLR모델은 Tw, EC, pH, Chla, TOC, Alk, RF모델은 EC, DO, TOC가 중요 변수로 평가되었다. PCA 분석결과, 수온이 낮고 성층이 약화되며 pH가 낮은 상태에서 NAF가 큰 것으로 나타났다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.276-290
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• 2023

Several efforts in Korea are currently underway with the goal of commercializing autonomous vehicles. Hence, various studies are emerging on autonomous vehicles that drive safely and quickly according to operating guidelines. The current study examines the path search of an autonomous vehicle from a microscopic viewpoint and tries to prove the efficiency required by learning the lane change of an autonomous vehicle through Deep Q-Learning. A SUMO was used to achieve this purpose. The scenario was set to start with a random lane at the starting point and make a right turn through a lane change to the third lane at the destination. As a result of the study, the analysis was divided into simulation-based lane change and simulation-based lane change applied with Deep Q-Learning. The average traffic speed was improved by about 40% in the case of simulation with Deep Q-Learning applied, compared to the case without application, and the average waiting time was reduced by about 2 seconds and the average queue length by about 2.3 vehicles.

• Information Systems Review
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• v.12 no.1
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• pp.107-130
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• 2010

Knowledge management strategy is considered a key determinant of successful knowledge management. However, theoretical and empirical researchers disagree on how knowledge management strategies improve firms' performance. The inconsistent results of prior studies may be attributed to the fact that complementary relationships among knowledge management strategies have not been adequately taken into consideration. While the previous literature has focused on investigating the impact of knowledge sourcing strategies on firms' performance one-at-a-time, in reality firms adopt several different knowledge management strategies together. By drawing on complementarity theory, this study revisits this research problem and develops three complementarity hypotheses. Surveys collected from 139 firms in Korea were analyzed to test the hypotheses by using super modularity function. The results confirmed complementary relationships between system- and person-oriented, and between internal- and external-oriented knowledge management strategies. Our results found no complementarity among the four different knowledge management strategies. This study sheds new light on knowledge management research by developing a new conceptual framework and using advanced analytical approaches to explore the relationship between knowledge management strategies and firms' performance. Implications for practice highlight that a successful knowledge management strategy requires a judicious combination of system- and person-oriented, or of internal- and external-oriented knowledge management strategies.