• Title/Summary/Keyword: field coefficient

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Effect of Sm2O3 Doping on Microstructure and Electrical Properties of ZPCCA-Based Varistors

  • Nahm, Choon-Woo
    • Korean Journal of Materials Research
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    • v.31 no.10
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    • pp.539-545
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    • 2021
  • The effect of Sm2O3 doping on the microstructure and electrical properties of the ZPCCA-based varistors is comprehensively investigated. The increase of doping content of Sm2O3 results in better densification (from 5.70 to 5.82 g/cm3) and smaller mean grain size (from 7.8 to 4.1 ㎛). The breakdown electric field increases significantly from 2568 to 6800 V/cm as the doping content of Sm2O3 increases. The doping of Sm2O3 remarkably improves the nonlinear properties (increasing from 23.9 to 91 in the nonlinear coefficient and decreasing from 35.2 to 0.2 µA/cm2 in the leakage current density). Meanwhile, the doping of Sm2O3 reduces the donor concentration (the range of 2.73 × 1018 to 1.18 × 1018 cm-3) of bulk grain and increases the barrier height (the range of 1.10 to 1.49 eV) at the grain boundary. The density of the interface states decreases in the range of of 5.31 × 1012 to 4.08 × 1012 cm-2 with the increase of doping content of Sm2O3. The dielectric constant decreases from 1594.8 to 507.5 with the increase of doping content of Sm2O3.

Performance Evaluation of Combined Sewer Overflow Treatment using Filtration Pilot Device (파일럿 여과장치를 이용한 합류식하수관 월류수 처리성능 평가)

  • Lee, Jun Ho;Shin, Young Gyun
    • Journal of Korean Society on Water Environment
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    • v.35 no.5
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    • pp.409-417
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    • 2019
  • In this study, a $480m^3/day$ pilot device was constructed through laboratory experiments based on the Ministry of Environment manual. The purpose of this study was to analyze the characteristics of CSO treatment and backwashing characteristics by applying the pilot device to the field. The purpose of this study was to acquire the basic data necessary for the design and operation management of the real scale filtration type non-point pollution control system. The filtration was conducted while maintaining the linear velocity of 20m/hour. The CSO treatment efficiencies of the pilot devices were 0.4-76.1%(mean 49.0 %), SS 51.4-91.6%(mean 77.8%), COD 22.2-59.4% (mean 38.3%) and TP 14.5-52.6%(mean 38.1%),respectively. The correlation coefficient between SS and the turbidity of influent water was 0.90, higher than that of CSO. To operate the treatment system effectively, the turbidity can be easily measured in real time as the monitoring item is the most appropriate because SS is the main target substance of the non-point source. As a result of analyzing the adsorbent treatment characteristics of PP filter material applied to this pilot device, the average particle diameter range of influent was $4.6-40.1{\mu}m$(mean $21.2{\mu}m$) and the treated water was $0.9-24.5{\mu}m$(mean $6.4{\mu}m$), respectively. Particles of approximately 10m or less are leached out, and so it is necessary to compensate for the raw water containing micro particulate matter.

Calculation of correction coefficients for the RedEdge-MX multispectral camera through intercalibration with a hyperspectral sensor (초분광센서와의 상호교정을 통한 RedEdge-MX 다분광 카메라의 보정계수 산출)

  • Baek, Seungil;Koh, Sooyoon;Kim, Wonkook
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.6
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    • pp.707-716
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    • 2020
  • Spectroradiometers have recently been drawing great attention in earth observing communities for its capability for obtaining target's quantitative properties. In particular, light-weighted multispectral cameras are gaining popularity in many field domains, as being utilized on UAV's. Despite the importance of the radiometric accuracy, studies are scarce on the performance of the inexpensive multispectral camera sensors that have various applications in agricultural, vegetation, and water quality analysis. This study conducted assessment of radiometric accuracy for MicaSense RedEdge-MX multispectral camera, by comparing the radiometric data with an independent hyperspectral sensor having NIST-traceable calibration quality. The comaprison showed that radiance from RedEdge-MX is lower than that of TriOS RAMSES by 5 to 16% depending on the bands, and the irradiance from RedEdge-MX is also lower than RAMSES by 1~20%. The correction coefficients for RedEdge-MX alculated through the 1-st and the 3-rd order regression analysis were presented as a result of the study.

Water Budget Assessment for Soybean Grown in Paddy Fields Converted to Uplands Using APEX Model (APEX 모델을 이용한 콩 재배 밭 전환 논의 물수지 특성 평가)

  • Choi, Soon-Kun;Jeong, Jaehak;Yeob, So-Jin;Kim, Myung-Hyun;Kim, Min-Kyeong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.4
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    • pp.55-64
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    • 2021
  • The expansion of upland crop cultivation in rice paddy fields is recommended by the Korean government to solve the problem of falling rice price and reduction of rice farmer's income due to oversupply of rice. However, water use efficiency is significantly influenced by the land use change from paddy field to upland. Therefore, this study aimed to evaluate the water budget of soybean grown in using APEX (Agricultural Policy and Environmental eXtender) model. The amount of runoff was measured in a test bed located in Iksan, Jeollabu-do and used to calibrate and validate the simulated runoff by APEX model. From 2019 to 2020, the water budget of soybean grown in uplands were estimated and compared with the one grown in paddy fields. The calibration result of AP EX model for runoff showed that R2 (Coefficient of determination) and NSE (Nash-Sutcliffe efficiency) were 0.90 and 0.89, respectively. In addition, the validated results of R2 and NSE were 0.81 and 0.62, respectively. The comparative study of each component in water budget showed that the amounts of evapotranspiration and percolation estimated by APEX model were 549.1 mm and 375.8mm, respectively. The direct runoff amount from upland was 390.1 mm, which was less than that from paddy fields. The average amount of irrigation water was 28.7 mm, which was very small compared to the one from paddy fields.

Effect of soil organic matter content on plant uptake factor of ginseng for endosulfan (토양유기물 함량이 인삼근의 endosulfan 흡수이행에 미치는 영향)

  • Oh, Kyeong-Yeol;Choi, Geun-Hyoung;Bae, Ji-Yeon;Lee, Deuk-Yeong;Lee, Sung-Woo;Kim, Jin-Hyo
    • Journal of Applied Biological Chemistry
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    • v.63 no.4
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    • pp.401-406
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    • 2020
  • The plant uptake of endosulfan, a new persistent organic pollutants from soil environment was investigated on ginseng through the field survey in Korea. The endosulfan residues in soil for this survey were ranged on 0.013-0.136 mg kg-1. The plant uptake factor (PUF) for endosulfan in ginseng was 0.243-1.708 and the highest PUF was found on 3-year-old ginseng. The PUF for endosulfan decreased in the longer cultivation period and it might be caused by the dilution effect of ginseng growth. In addition, the soil organic matter (SOM) content affected on the PUF negatively and Pearson correlation coefficient (r) between SOM and PUF was -0.7812 (p <0.05). Thus, higher SOM would positively affect to reduce the endosulfan residue in ginseng root.

Bright band detection using X-band polarimetric radar (X-밴드 이중편파 레이더에 의한 밝은 띠 탐지)

  • Lee, Dong-ryul;Jang, Bong-joo;Hwang, Seok Hwan;Noh, Hui-seong
    • Journal of Korea Water Resources Association
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    • v.53 no.12
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    • pp.1211-1220
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    • 2020
  • This research detects the features of the bright band (BB) through analysis of the vertical profile of range height indicator (RHI) and the slant range beam profile of plane position indicator (PPI) of the polarimetric radar measurements-horizontal reflectivity (ZH), differential reflectivity (ZDR), and cross-correlation coefficient (ρHV). As a result of the analysis, it is possible to clearly detect the bright band using the polarimetric radar measurements, and it is confirmed that the result is consistent by double searching for the BB using the RHI and PPI scan data at the same time. Based on these results, the accuracy of QPE (quantification of precipitation estimation) can be improved by applying the BB search method by the PPI slant range in this research to large rainfall radars that only scan PPI volumes in the field without RHI observations.

Noise Level Evaluation According to Slice Thickness Change in Magnetic Resonance T2 Weighted Image of Multiple Sclerosis Disease (다발성 경화증 질환의 자기공명 T2 강조영상에서 단면 두께 변화에 따른 잡음 평가)

  • Hong, Inki;Park, Minji;Kang, Seong-Hyeon;Lee, Youngjin
    • Journal of radiological science and technology
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    • v.44 no.4
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    • pp.327-333
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    • 2021
  • Magnetic resonance imaging(MRI) uses strong magnetic field to image the cross-section of human body and has excellent image quality with no risk of radiation exposure. Because of above-mentioned advantages, MRI has been widely used in clinical fields. However, the noise generated in MRI degrades the quality of medical images and has a negative effect on quick and accurate diagnosis. In particular, examining a object with a detailed structure such as brain, image quality degradation becomes a problem for diagnosis. Therefore, in this study, we acquired T2 weighted 3D data of multiple sclerosis disease using BrainWeb simulation program, and used quantitative evaluation factors to find appropriate slice thickness among 1, 3, 5, and 7 mm. Coefficient of variation and contrast to noise ratio were calculated to evaluate the noise level, and root mean square error and peak signal to noise ratio were used to evaluate the similarity with the reference image. As a result, the noise level decreased as the slice thickness increased, while the similarity decreased after 5 mm. In conclusion, as the slice thickness increases, the noise is reduced and the image quality is improved. However, since the edge signal is lost due to overlapped signal, it is considered that selecting appropriate slice thickness is necessary.

Quality Evaluation of Ultrasonographic Equipment Using an ATS-539 Multipurpose Phantom in Veterinary Medicine

  • Cho, Young-kwon;Lee, Youngjin;Lee, Kichang
    • Journal of Veterinary Clinics
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    • v.39 no.3
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    • pp.114-120
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    • 2022
  • The purpose of this study is to examine the status of quality control using multipurpose phantom of ultrasound equipment used in hospital of veterinary college in South Korea by using ATS-539 multipurpose phantom so as to examine quantitative and objective new image evaluation method. Specialists discussed and analyzed multipurpose phantom images acquired by using convex transducer of 10 ultrasound imaging devices, currently used in 9 veterinary colleges, at 4.0-6.0 MHz. Total 8 items that can be measured with ATS-539 multipurpose phantom including dead zone, vertical and horizontal measurement, axial/lateral resolution, sensitivity, focal zone, functional resolution and gray scale/dynamic range were evaluated. For qualitative evaluation, valid decisions were made based on dead zone, axial/lateral resolution, and gray scale/dynamic range which are resolution index, and coefficient of variation (COV) and blind referenceless image spatial quality evaluator (BRISQUE) were found to increase objectivity. As a result of experiment, all the targeted ultrasonic devices were found appropriate from qualitative evaluation items of dead zone, axial/lateral resolution, and gray scale/dynamic range. In other evaluation items, they were found to be appropriate from focal zone and vertical measurement of quantitative evaluation while inappropriate from horizontal measurement, sensitivity, and functional resolution. COV value was 0.12 ± 0.04, and BRISQUE value was 47.77 ± 2.77, both analysis results show that the noise level of all ultrasonic devices was located within tolerance range. Upon image examination using ATS-539 multipurpose phantom, they were 100% appropriate with inspection standards of dead zone, axial/lateral resolution, and gray scale/dynamic range, and besides, focal zone and functional resolution can be used as evaluation items. In the field of veterinary medicine, 8 standard items using ATS-539 multipurpose phantom and image evaluation items using COV and BRISQUE can be used as standards for quality control of ultrasonography machine.

Retrieval and Accuracy Evaluation of Horizontal Winds from Doppler Lidars During ICE-POP 2018 (도플러 라이다를 이용한 ICE-POP 2018 기간 수평바람 연직 프로파일 산출 및 정확도 평가)

  • Kim, Kwonil;Lyu, Geunsu;Baek, SeungWoo;Shin, Kyuhee;Lee, GyuWon
    • Atmosphere
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    • v.32 no.2
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    • pp.163-178
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    • 2022
  • This study aims to evaluate the accuracy of retrieved horizontal winds with different quality control methods from three Doppler lidars deployed over the complex terrain during the PyeongChang 2018 Olympic and Paralympic games. To retrieve the accurate wind profile, this study also proposes two quality control methods to distinguish between meteorological signals and noises in the Doppler velocity field, which can be broadly applied to different Doppler lidars. We evaluated the accuracy of retrieved winds with the wind measurements from the nearby or collocated rawinsondes. The retrieved wind speed and direction show a good agreement with rawinsonde with a correlation coefficient larger than 0.9. This study minimized the sampling error in the wind evaluation and estimation, and found that the accuracy of retrieved winds can reach ~0.6 m s-1 and 3° in the quasi-homogeneous wind condition. We expect that the retrieved horizontal winds can be used in the high-resolution analysis of the horizontal winds and provide an accurate wind profile for model evaluation or data assimilation purposes.

Evaluating Usefulness of Deep Learning Based Left Ventricle Segmentation in Cardiac Gated Blood Pool Scan (게이트심장혈액풀검사에서 딥러닝 기반 좌심실 영역 분할방법의 유용성 평가)

  • Oh, Joo-Young;Jeong, Eui-Hwan;Lee, Joo-Young;Park, Hoon-Hee
    • Journal of radiological science and technology
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    • v.45 no.2
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    • pp.151-158
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    • 2022
  • The Cardiac Gated Blood Pool (GBP) scintigram, a nuclear medicine imaging, calculates the left ventricular Ejection Fraction (EF) by segmenting the left ventricle from the heart. However, in order to accurately segment the substructure of the heart, specialized knowledge of cardiac anatomy is required, and depending on the expert's processing, there may be a problem in which the left ventricular EF is calculated differently. In this study, using the DeepLabV3 architecture, GBP images were trained on 93 training data with a ResNet-50 backbone. Afterwards, the trained model was applied to 23 separate test sets of GBP to evaluate the reproducibility of the region of interest and left ventricular EF. Pixel accuracy, dice coefficient, and IoU for the region of interest were 99.32±0.20, 94.65±1.45, 89.89±2.62(%) at the diastolic phase, and 99.26±0.34, 90.16±4.19, and 82.33±6.69(%) at the systolic phase, respectively. Left ventricular EF was calculated to be an average of 60.37±7.32% in the ROI set by humans and 58.68±7.22% in the ROI set by the deep learning segmentation model. (p<0.05) The automated segmentation method using deep learning presented in this study similarly predicts the average human-set ROI and left ventricular EF when a random GBP image is an input. If the automatic segmentation method is developed and applied to the functional examination method that needs to set ROI in the field of cardiac scintigram in nuclear medicine in the future, it is expected to greatly contribute to improving the efficiency and accuracy of processing and analysis by nuclear medicine specialists.