• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.211-220
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• 2021

Land Surface Temperature (LST) is one of the useful parameters to diagnose the growth and development of crop and to detect crop stress. Unmanned Aerial Vehicle (UAV)-based LST (LSTUAV) can be estimated in the regional spatial scale due to miniaturization of thermal infrared camera and development of UAV. Given that meteorological variable, type of instrument, and surface condition can affect the LSTUAV, the evaluation for accuracy of LSTUAV is required. The purpose of this study is to evaluate the accuracy of LSTUAV using LST measured at ground (LSTGround) under various meteorological conditions and growth phases of garlic crop. To evaluate the accuracy of LSTUAV, Relative humidity (RH), absolute humidity (AH), gust, and vegetation index were considered. Root mean square error (RMSE) after minimizing the bias between LSTUAV and LSTGround was 2.565℃ under above 60% of RH, and it was higher than that of 1.82℃ under the below 60% of RH. Therefore, LSTUAV measurement should be conducted under the below 60% of RH. The error depending on the gust and surface conditions was not statistically significant (p-value < 0.05). LSTUAV had reliable accuracy under the wind speed conditions that allow flight and reflected the crop condition. These results help to comprehend the accuracy of LSTUAV and to utilize it in the agriculture field.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.4
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• pp.245-257
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• 2023

The representative crop in the Republic of Korea, rice, is cultivated over extensive areas every year, which resulting in reduced resistance to pests and diseases. One of the major rice diseases, rice blast disease, can lead to a significant decrease in yields when it occurs on a large scale, necessitating early detection and effective control of rice blast disease. Drone-based crop monitoring techniques are valuable for detecting abnormal growth, but frequent image capture for potential rice blast disease occurrences can consume significant labor and resources. The purpose of this study is to early detect rice blast disease using remote sensing data, such as drone and satellite images, along with weather data. Satellite images was helpful in identifying rice cultivation fields. Effective detection of paddy fields was achieved by utilizing vegetation and water indices. Subsequently, air temperature, relative humidity, and number of rainy days were used to calculate the risk of rice blast disease occurrence. An increase in the risk of disease occurrence implies a higher likelihood of disease development, and drone measurements perform at this time. Spectral reflectance changes in the red and near-infrared wavelength regions were observed at the locations where rice blast disease occurred. Clusters with low vegetation index values were observed at locations where rice blast disease occurred, and the time series data for drone images allowed for tracking the spread of the disease from these points. Finally, drone images captured before harvesting was used to generate spatial information on the incidence of rice blast disease in each field.

• Water for future
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• v.26 no.2
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• pp.99-105
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• 1993

A practical flood forecasting model(FFM) is suggested. The output of the model is the results which the initial condition of meteorological parameters and soil moisture are projected on the future. The physically based station model for rainfall forecasting(RF) and the storage function model for runoff prediction(RP) are adopted respectively. Input variables for FFM are air temperature, pressure, and dew-point temperature at the ground level and the flow at the rising limb(FRL). The constant parameters for FFM are average of optimum values which the past storm events have. Also loss rate of rainfall can predicted by FRL.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1683-1687
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• 2009

USN(Ubiquitous Sensor Network)은 어디든지 부착 가능한 센서와의 자동 교류를 통해 대상의 환경적 정보를 습득, 저장, 처리하여 지식, 정보 서비스를 언제, 어디서나, 누구에게나 제공하는 최신 네트워크이다. USN은 교통, 기상 그리고 환경 등의 공동 정보를 제공할 수 있는 차세대 국가적인 인프라로 개발될 것이다. 기존에 연구되고 있는 무선 네트워크가 높은 데이터 전송률 및 처리성능을 기본으로 하는 컴퓨팅에 초점을 둔 반면에, 센서 네트워크는 강우량 감지와 같은 애플리케이션에서 대부분 짧은 시간동안 적은 양의 전송만 수행하게 된다. 센서 네트워크는 유비쿼터스 컴퓨팅 기술을 실현하기 위한 핵심 기술적 인프라라고 할 수 있다. 본 연구에서는 USN의 정의와 기초 기술에 대한 내용을 기술하고, 센서 네트워크를 위한 통신기술, 고속 데이터 전송을 위한 광대역 통합망, 상황 인식 및 실시간 데이터 처리를 위한 미들웨어 등 USN 기반기술에 대하여 기술하였다. 또한 최근 서비스 및 기술의 개발, 표준화 동향을 분석함으로써 USN을 수문 정보 분야에 적용시킬 수 있는 방법들을 검토하였다. 더 나아가, 현존하는 USN 모델 사업 분석을 바탕으로 수자원분야에서의 기술적인 적용 가능성에 대해 검토해본다.

• Journal of the Korean Society of Safety
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• v.18 no.1
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• pp.76-80
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• 2003

There will be a big problem in disposing of waste tie coming from the cars. Because many of these have been thrown away to the field and environmentally polluted. New, We need to find out how to dispose or recycle these waste material. It is thought that recycling this material especially mixing with concrete will be a good idea. This study is focused how each material do its behavior due to the size of waste type particle and its amount into concrete material. 0.4mm-10mm range of particle has been applied to the material : Also, 1.0%, 1.5%, 2.0% range of tyre particle proportion has been applied to make cylinder molds. The concrete mold with waste-tyre particle has vibration-absorbing ability. It is found that 0.4 -0.6mm particle mixing concrete has been more solid organized. And this waste tyre material could be applied to the general concrete, it is found.

• Proceedings of the Korean Society Of Semiconductor Equipment Technology
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• 2007.06a
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• pp.215-217
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• 2007

반도체 집적화 기술의 발달로 반도체 공정에서 디바이스의 선폭은 줄어들고, 박막의 다층화가 필수적인 과정이 되었다. 이에 따라 반도체에서 Si 기판과 금속 배선과의 열적 안정성에 대한 신뢰성이 더욱 중요시 되어가고 있다. 이를 방지하기 위하여 우리는 3개의 화합물로 구성된 Tungsten-Carbon-Nitrogen (W-C-N) 확산방지막을 사용하였다. 실험은 Si 기판위에 W-C-N박막을 물리적 기상 증착법(PVD)으로 질소비율을 변화하며 확산방지막을 증착하여 Si 기판과 W-C-N확산방지막의 특성을 여러 온도 열처리 조건에서 확인하였다. 특성을 분석을 위하여 ${\alpha}-step$과 ${\beta}-ray$를 이용하여 증착률을 확인한 후 4-point probe를 이용하여 비저항을 측정하였고, X-ray Diffraction 분석을 통하여 결정 내부의 변화를 확인하였다. 이를 통하여 W-C-N 확산방지막의 열적인 안정성을 질소변화에 따라 조사하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.445-449
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• 2001

The tool wear that is developed by long-term machining in mold manufacturing with machining center makes a severe influence to the accuracy and the surface roughness. In this reason, tool-wear supervising system which has guaranteed high accuracy and high speed is needed to improve the measurement quality. Touching probe and touch sensor are widely used to measure the tool profile at on-machine measurement. In this paper, using the newly developed electric touch point measuring system, the Automatic Tool Compensation System is developed to correct the error of tool diameter resulted from the wear, and the operating method of this system is also provided.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2015.11a
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• pp.250-250
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• 2015

사람의 후각으로 감지할 수 없는 독성, 폭발성 가스로 인한 사고 발생률이 높아지면서 고감도의 가스 센서 필요성이 증가 되고 있다. 본 연구에서는 안정적인 가스 감지를 위해 물리기상증착의 다양한 공정 조건을 변화시켜 다공성 나노구조의 $SnO_2$ 가스 검지 전극층을 제작하였다. SEM 분석을 통하여 $SnO_2$ 가스 검지층이 다공성 나노 구조를 지님을 확인하였고, TEM 분석을 통하여 $SnO_2$ 입자간의 안정적인 접합을 확인하였다. 또한 다공성 나노 구조의 $SnO_2$를 가스 검지층으로 사용하여 가스센서를 제작하였고, 가스 농도에 따른 감도 변화를 확인 할 수 있었다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2010.04a
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• pp.448-453
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• 2010

본 연구에서는 캐나다 연료 수분지수의 정확도를 보정하여, 산불발생의 예측 효율성을 높이기 위해, 기존 입력 값인 상대습도와 실효습도(Effective humidity)를 이용한 결과를 상호 비교 분석하였다. 캐나다 연료수분지수인 미세연료수분지수, 가뭄지수, 부식층수분지수의 결과를 비교한 결과 이에 따라 실효습도를 사용한 캐나다 기상지수의 민감도가 상대습도를 사용하여 산출된 지수보다 민감도가 떨어지는 것으로 조사되었다. 또한, 산불 발생 예측의 지표인 미세연료 수분 지수의 분석결과, 실효습도를 이용하여 산출된 미세연료 수분지수의 적중률이 떨어지는 것으로 조사되었다. 따라서, 미세연료 수분지수의 적용보다 상대습도의 적용이 효과적인 것으로 분석되었다.

• Journal of the Korean Solar Energy Society
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• v.33 no.6
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• pp.32-38
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• 2013

In an efforts to encourage renewable energy deployment, the government has initiated so called 1 million green homes program but the accumulated installation capacity of small wind turbine has been about 70kW. It can be explained in several ways such that current subsidy program does not meet public expectations, economic feasibility of wind energy is in doubt or acoustic emission is significant etc. The author investigated annual energy production of Skystream 3.7 wind turbine using measured power curve and wind resource data. The measured power curve of the small wind turbine was obtained through power performance tests at Wol-Ryoung test site. AEP(Annual Energy Production) and CF(Capacity Factor) were evaluated at selected locations with the measured power curve.