• Title/Summary/Keyword: 생태공학

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An Experimental Comparison of Feature Subset Selection Methods using Bio-Inspired Algorithms (생태계 모방 알고리즘을 이용한 특징 선택 방법들의 성능 비교 분석에 대한 연구)

  • Yun, Chulmin;Yang, Jihoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.11a
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    • pp.27-29
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    • 2007
  • 패턴 인식 문제를 푸는데 있어 특징 선택을 해주는 것은 패턴 인식의 성능 향상을 위해 중요한 과정 중 하나이다. 본 연구에서는 대표적인 생태계 모방 알고리즘 2 가지를 선택하여 특징 선택 문제에 적용하여 보고, 그 성능을 비교 분석하였다. 데이터의 특징을 줄여주는 기능과 패턴 인식 성능의 향상 여부를 중심으로 평가하였으며, 이를 통해 생태계 모방 알고리즘이 특징 선택 문제에 효과적으로 사용될 수 있는지에 대해 논의해보고, 두 방법의 장단점과 특징에 대해 생각해 본다.

생태건축을 위한 수자원 이용

  • 신현준
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.29 no.6
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    • pp.43-48
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    • 2000
  • 생태 건축학적인 수자원의 이용에 대한 개념을 수자원의 재활용 측면에서의 중수 및 배수열의 이용, 자연자원의 유효이용 측면에서 우수의 이용, 수질환경의 개선과 수자원 이용설비의 내구성 향상 측면에서 배관의 세척에 대한 필요성 및 현황을 중심으로 기술함.

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Effects of Plant Growth Regulators on Bulblets Regeneration of Liliem cernum K. (솔나리의 인편 재분화에 미치는 식물생장조절제 효과)

  • Seo, Jin-Na;Kim, Hye-Young;Lee, Su-Gwang;Kang, Ho-Duck
    • Journal of agriculture & life science
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    • v.43 no.6
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    • pp.29-33
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    • 2009
  • The purpose of this study was carried out to investigate the effects of plant growth regulators on in vitro propagation of Liliem cernum Komarov. Small bulblets were poliferated from callus explants after 2 weeks and leaf, root and bulb were formed after 4 weeks culture. Leaf differentiation was promoted vigorously by the combination of TDZ 0.1 mg/L and NAA 0.01 mg/L(87.5%). The rate of root differentiation was the greatest at BA 0.2 mg/L alone(81.8%). The rate of callus formation was the high in medium containing TDZ. The number of bulblets and leaves formed in bulb scales was the greatest at TDZ 0.1 mg/L(5.7). Also, the longest length of total length, leaf and root length were in Zeatin 1.0 mg/L + NAA 0.1 mg/L(10.5 cm). However the longest bulblet was in TDZ 0.1 mg/L(1.4 cm).

Priority for Developing Emission Factors and Quantitative Assessment in the Forestry Sector (산림부문의 국가온실가스 배출·흡수계수 개발 필요 우선순위 및 정량평가 방법론)

  • Han, Seung Hyun;Lee, Sun Jeoung;Chang, Hanna;Kim, Seongjun;Kim, Raehyun;Jeon, Eui-Chan;Son, Yowhan
    • Journal of Climate Change Research
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    • v.8 no.3
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    • pp.239-245
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    • 2017
  • This study aimed to suggest priority for developing emission factor (EF) and to develop the methodology of quantitative assessment of EF in the forestry sector. Based on the stock-difference method, 17 kinds of EFs (27 EFs based on forest types) were required to calculate the carbon emission in the forestry sector. Priority for developing EFs followed the standards, which is a development plan by the government agency, importance of carbon stock for greenhouse gas, and EFs by the species. Currently, the most urgent development of EFs was carbon fraction in biomass and carbon stock in dead wood. Meanwhile, the quantitative assessment of EF consisted of 7 categories (5 categories of compulsory and 2 categories of quality evaluation) and 12 verification factors. Category in compulsory verification consisted of administrative document, determination methodology of emission factors, emission characteristic, accuracy of measurement and analysis, and data representative. Category in quality evaluation consisted of data management and uncertainty estimates. Based on the importance of factors in the verification process, each factor was scored separately, however, the score needs to be coordinated by the government agency. These results would help build a reliable and accurate greenhouse gas inventory report of Korea.

Assessment of Drought Severity on Cropland in Korea Peninsula using Normalized Precipitation Evapotranspiration Index (NPEI) (정규화강수증발산지수(NPEI)를 활용한 한반도 농경지의 가뭄심도 평가)

  • Lim, Chul-Hee;Kim, Damin;Shin, Yuseung;Lee, Woo-Kyun
    • Journal of Climate Change Research
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    • v.6 no.3
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    • pp.223-231
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    • 2015
  • Although a considerable part of climate change can be explained by temperature change, hydrological change such as precipitation, evapotranspiration, and runoff impact more on society. For the ascertain a hydrological change in agriculture sector, this study estimate evapotranspiration of cropland in the Korean peninsula, and then to assess the drought severity in the past 30 years through the estimated potential evapotranspiration and observed precipitation. The potential evapotranspiration is estimated by EPIC model and Penman-Monteith method and the drought severity in cropland of the Korean peninsula is assessed using Normalized Precipitation Evapotranspiration Index (NPEI) based on the difference in precipitation and potential evapotranspiration. In North Korea, the estimated evapotranspiration tends to increase even though a significant change is not found due to the change of climate. Although a time series change in drought severity in the past 30 years is not pronounced, a deviation by year and difference between South and North Korea is certain. One reason of this is difference in precipitation and evapotranspiration change according to the latitude. The result including expansion of facilities for water management in North Korea can be used for agricultural decision making, as well as base data of climate change adaptation.

Applicability Analysis of FAO56 Penman-Monteith Methodology for Estimating Potential Evapotranspiration in Andong Dam Watershed Using Limited Meteorological Data (제한적인 기상자료 조건에서의 잠재증발산량 추정을 위한 FAO56 Penman-Monteith 방법의 적용성 분석 - 안동댐 유역을 사례로 -)

  • Kim, Sea Jin;Kim, Moon-il;Lim, Chul-Hee;Lee, Woo-Kyun;Kim, Baek-Jo
    • Journal of Climate Change Research
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    • v.8 no.2
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    • pp.125-143
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    • 2017
  • This study is conducted to estimate potential evapotranspiration of 10 weather observing systems in Andong Dam watershed with FAO56 Penman-Monteith (FAO56 PM) methodology using the meteorological data from 2013 to 2014. Also, assuming that there is no solar radiation data, humidity data or wind speed data, the potential evapotranspiration was estimated by FAO56 PM and the results were evaluated to discuss whether the methodology is applicable when meteorological dataset is not available. Then, the potential evapotranspiration was estimated with Hargreaves method and compared with the potential evapotranspiration estimated by FAO56 PM only with the temperature dataset. As to compare the potential evapotranspiration estimated from the complete meteorological dataset and that estimated from limited dataset, statistical analysis was performed using the Root Mean Square Error (RMSE), the Mean Bias Error (MBE), the Mean Absolute Error (MAE) and the coefficient of determination ($R^2$). Also the Inverse Distance Weighted (IDW) method was performed to conduct spatial analysis. From the result, even when the meteorological data is limited, FAO56 PM showed relatively high accuracy in calculating potential evapotranspiration by estimating the meteorological data.

Method for Calculating the Pollution Load Amount of Agricultural Non-Point Sources Using Land Cover Map (토지피복지도를 활용한 농업비점오염원 오염부하량 산정에 관한 연구)

  • Yu, Jieun;Kim, Yoonji;Sung, Hyun-Chan;Lee, Kyung-il;Choi, Ji-yong;Jeon, Seung-woo
    • Journal of Environmental Science International
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    • v.29 no.12
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    • pp.1249-1260
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    • 2020
  • Non-point source pollutants have characteristics the render them difficult to manage owing to the uncertainty of flow paths. As agricultural non-point sources account for more than 57% of non-point source pollutants, the necessity for management is increasing. This study examines the possibility of utilizing land cover maps to suggest a more appropriate method of setting management priority for agricultural non-point sources in the Daecheong Lake area and draws implications by comparing the results derived using the cadastral map, as mentioned in the TMDL Basic Policy. To define the prioritized areas for management, the pollution load was calculated for each subbasin using the formula from the TMDL technical guidelines. As a result, the difference in the average pollution load between the land cover map and cadastral map ranged from 11.6% to 21% among the subbasins. In almost all subbasins, there were differences in the ranking of management priorities depending on the land information that was used. In addition, it was found that it was reasonable to use the level 3 land cover map to calculate the load generated by the land system for examining the implementation goals and methods of each data and comparing them with satellite images.

Simulation of wetland storage volume using a classification-based artificial intelligence prediction model (분류 기반의 인공지능 예측 모델을 이용한 습지 저류량 모의)

  • Ji yu Seo;Ha eun Jung;Jeong Hoon Lee;Sang Dan Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.270-270
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    • 2023
  • 습지 생태계는 복잡한 물리적 생지화학적 프로세스의 상호작용이 있으나, 습지 생태계의 건강성 회복을 위한 첫 번째 단계는 습지 생태계에서의 물순환에 대한 정확한 이해일 것이다. 또한 지역적인 물 균형 및 생태계 보전에서 습지를 활용하기 위해서도 습지 물순환에 대한 정량적인 이해는 필수적이다. 그러나, 습지 물순환의 이해를 위해 필수적인 관측 자료들은 현장 측정으로 획득하기 어려운 자료이거나 비용적인 문제로 인하여 관측이 어려운 실정이다. 이에 본 연구에서는 Sentinel-2 위성 자료를 활용하여 습지의 유입량을 추정하기 위한 절차를 제시하고자 한다. 이를 위해 한반도 동남부의 낙동강에 위치한 주요 다목적댐의 자료를 활용한 분류 기반의 인공지능 모델이 설계된다. 인공지능의 학습을 위한 입력자료는 아래와 같은 절차에 의해 만들어진다. 1) 다목적댐의 수위-물 체적 관계를 이용하여 수위-수표면적 관계 곡선 도출. 2) 수위-수표면적 관계 곡선과 DEM을 활용하여 물과 육지 영역을 구분하는 식별자를 도출. 3) Sentinel-2 위성 정보와 물-육지 식별자를 비교하는 랜덤 포레스트 모델을 설계. 4) 위성 정보의 물-육지 정보로부터 미계측 습지 지역의 물과 육지를 식별할 수 있는 식별자 도출. 이러한 과정을 경유하여 추정된 습지의 수표면적과 습지 지역의 DEM을 결합함으로써 습지의 수위-수표면적-물 체적 관계 곡선이 산정되어, 최종적으로 습지의 유입량이 모의된다. 모의된 습지 유입량은 다양한 수문 모델의 매개변수를 추정하는데 활용될 수 있을 것이며, 검증된 수문 모델을 활용하여 습지의 물순환의 이해도를 증진시킬 수 있을 것으로 기대된다.

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