• 한국전기전자재료학회논문지
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• 제31권5호
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• pp.313-319
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• 2018

This study introduces a new investigation report on the microstructural and electrical property changes of $ZnO-Zn_2BiVO_6-Mn_3O_4$ (ZZMn), where 0.33 mol% of $Mn_3O_4$ and 0.5 mol% of $Zn_2BiVO_6$ were added to ZnO (99.17 mol%) as liquid phase sintering aids. $Zn_2BiVO_6$ contributes to the decrease of sintering temperatures by up to $800^{\circ}C$, and segregates its particles at the grain boundary, while $Mn_3O_4$ enhances ${\alpha}$, the nonlinear coefficient, of varistor properties up to ${\alpha}=62$. In comparison, when the sintering temperature is increased from $800^{\circ}C$ to $1,000^{\circ}C$, the resistivity of ZnO grains decreases from $0.34{\Omega}cm$ to $0.16{\Omega}cm$, and the varistor property degrades. Oxygen vacancy ($V_o^{\bullet}$) (P1, 0.33~0.36 eV) is formed as a dominant defect. Two different kinds of grain boundary activation energies of P2 (0.51~0.70 eV) and P3 (0.70~0.93 eV) are formed according to different sintering temperatures, which are tentatively attributed to be $ZnO/Zn_2BiVO_6$-rich interface and ZnO/ZnO interface, respectively. Accordingly, this study introduces a progressive method of manufacturing ZnO chip varistors by way of sintering ZZMn-based varistor under $900^{\circ}C$. However, to procure a higher reliability, an in-depth study on the multi-component varistors with double-layer grain boundaries should be executed.

• 한국전기전자재료학회논문지
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• 제31권5호
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• pp.307-312
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• 2018

Liquid phases in ZnO varistors cause more complex phase development and microstructure, which makes the control of electrical properties and reliability more difficult. Therefore, we have investigated 2 mol% $CaCO_3$ doped $ZnO-Co_3O_4-Cr_2O_3-La_2O_3$ (ZCCLCa) bulk ceramics as one of the compositions without liquid phase sintering additive. The results were as follows: when $CaCO_3$ is added to ZCCLCa ($644{\Omega}cm$) acting as a simple ohmic resistor, CaO does not form a secondary phase with ZnO but is mostly distributed in the grain boundary and has excellent varistor characteristics (high nonlinear coefficient ${\alpha}=78$, low leakage current of $0.06{\mu}A/cm^2$, and high insulation resistance of $1{\times}10^{11}{\Omega}cm$). The main defects $Zn_i^{{\cdot}{\cdot}}$ (AS: 0.16 eV, IS & MS: 0.20 eV) and $V_o^{\bullet}$ (AS: 0.29 eV, IS & MS: 0.37 eV) were found, and the grain boundaries had 1.1 eV with electrically single grain boundary. The resistance of each defect and grain boundary decreases exponentially with increasing the measurement temperature. However, the capacitance (0.2 nF) of the grain boundary was ~1/10 lower than that of the two defects (~3.8 nF, ~2.2 nF) and showed a tendency to decrease as the measurement temperature increased. Therefore, ZCCLCa varistors have high sintering temperature of $1,200^{\circ}C$ due to lack of liquid phase additives, but excellent varistor characteristics are exhibited, which means ZCCLCa is a good candidate for realizing chip type or disc type commercial varistor products with excellent performance.

• Journal of Biosystems Engineering
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• 제43권2호
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• pp.148-159
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• 2018

Purpose: Unmanned air vehicle (UAV) remote sensing was applied to test various vegetation indices and make prediction models of protein content of rice for monitoring grain quality and proper management practice. Methods: Image acquisition was carried out by using NIR (Green, Red, NIR), RGB and RE (Blue, Green, Red-edge) camera mounted on UAV. Sampling was done synchronously at the geo-referenced points and GPS locations were recorded. Paddy samples were air-dried to 15% moisture content, and then dehulled and milled to 92% milling yield and measured the protein content by near-infrared spectroscopy. Results: Artificial neural network showed the better performance with $R^2$ (coefficient of determination) of 0.740, NSE (Nash-Sutcliffe model efficiency coefficient) of 0.733 and RMSE (root mean square error) of 0.187% considering all 54 samples than the models developed by PR (polynomial regression), SLR (simple linear regression), and PLSR (partial least square regression). PLSR calibration models showed almost similar result with PR as 0.663 ($R^2$) and 0.169% (RMSE) for cloud-free samples and 0.491 ($R^2$) and 0.217% (RMSE) for cloud-shadowed samples. However, the validation models performed poorly. This study revealed that there is a highly significant correlation between NDVI (normalized difference vegetation index) and protein content in rice. For the cloud-free samples, the SLR models showed $R^2=0.553$ and RMSE = 0.210%, and for cloud-shadowed samples showed 0.479 as $R^2$ and 0.225% as RMSE respectively. Conclusion: There is a significant correlation between spectral bands and grain protein content. Artificial neural networks have the strong advantages to fit the nonlinear problem when a sigmoid activation function is used in the hidden layer. Quantitatively, the neural network model obtained a higher precision result with a mean absolute relative error (MARE) of 2.18% and root mean square error (RMSE) of 0.187%.

• 대한원격탐사학회지
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• 제36권2_1호
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• pp.155-165
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• 2020

본 연구에서는 복사전달모델을 사용하여 다양한 변수환경(파장 (340 nm, 477 nm), 에어로솔 종류(스모크, 황사, 황산염), AOD (aerosol optical depth), 지표면 반사도, 관측기하)에 따라 에어로솔 유효 고도(aerosol peak height; APH)에 대한 O₄ 대기질량인자(air mass factor; AMF)의 민감도를 조사하였다. 전반적으로, 477 nm의 O₄ AMF 가 340 nm 보다 APH에 대한 민감도가 크고 안정적으로 산출 가능한 것으로 확인하였다. AOD가 높을 때 APH에 대한 O₄ AMF의 민감도가 커지는 것을 확인하였다. 477 nm에서는 340 nm 보다 지표면 반사도의 영향이 큰 것으로 나타났다. 태양천정각 증가에 따라 340 nm에서의 O₄ AMF가 감소하는 추세를 발견하였으며, 이러한 경향은 태양천정각 40°인 환경에서 높은 Rayleigh 및 Mie 산란에 의한 장벽효과로 인해 O₄ 흡수가 발생하는 광경로 길이가 줄어들기 때문인 것으로 사료된다. 477 nm에서는 태양천정각이 증가함에 따라 Rayleigh 및 Mie 산란에 의한 다중산란이 일부 발생하여 O₄ AMF가 비선형함수 형태로 증가하는 경향을 보였다. 마지막으로, AOD의 불확실성이 APH 산출오차에 미치는 영향을 조사하였다. 황산염 타입에 대한 APH 산출 시, AOD의 불확실성으로 인한APH 산출오차가 다른 에어로솔 타입보다 크게 나타났으며, 황사의 경우 AOD 불확실성에 대한 APH 산출오차에 대한 영향이 미미하게 나타났다. 이러한 결과는 각 에어로솔 타입의 흡수 산란 특성이 다양하기 때문에, 에어로솔 타입이 APH 산출 오차에 영향을 미칠 수 있음을 의미한다.