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    <title>Repository Community:</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18708</link>
    <description />
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        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18749" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18745" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18744" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18747" />
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    <dc:date>2026-04-09T15:09:34Z</dc:date>
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  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18749">
    <title>Fabrication of CuSn Nanofibers Prepared via Electrospinning</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18749</link>
    <description>Title: Fabrication of CuSn Nanofibers Prepared via Electrospinning
Author(s): Jinhee Choi; Juyun Park; Ahrom Choi; Seokhee Lee; Sung-Wi Koh; Yong-Cheol Kang
Abstract: The Cu and CuSn/PVP nanofibers were fabricated by electrospinning method by controlling various parameters. The precursor solution was prepared with copper(II) acetate monohydrate ($Cu(CH_3COO)_2$ 수식 이미지) and tin chloride dihydrate ($SnCl_2{\cdot}2H_2O$ 수식 이미지), and polyvinylpyrrolidone (PVP) for adjusting viscosity. The fabricated nanofibers were calcined at 873 K in Ar atmospheric environment for 5 hours to remove the solvent and polymer. The morphology and diameter of nanofibers were measured by optical microscopy (OM) with Motic image plus 2.0 program. The components and chemical environment were investigated with X-ray photoelectron spectroscopy (XPS). From the XPS survey spectra, we confirmed that CuSn/PVP nanofibers were successfully fabricated. The XPS peaks of C 1s and N 1s were remarkably decreased after calcination of the nanofibers at 873 K. It implies that the PVP was completely decomposed after calcination at 873 K.</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18745">
    <title>WiFi(RLAN) and a C-Band Weather Radar Interference</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18745</link>
    <description>Title: WiFi(RLAN) and a C-Band Weather Radar Interference
Author(s): Jongbin Moon; Chansu Ryu
Abstract: In the terrain of the Korean peninsula, mountainous and flat lands are complexly distributed in small areas. Therefore, local severe weather develops and disappears in a short time due to the influence of the terrain. Particularly in the case of local severe weather with heavy wind that has the greatest influence on aviation meteorology, the scale is very small, and it occurs and disappears in a short time, so it is impossible to predict with fragmentary data alone. So, we use weather radar to detect and predict local severe weather. However, due to the development of wireless communication services and the rapid increase of wireless devices, radio wave jamming and interference problems occur. In this research, we confirmed through the cases that when the radio interference echo which is one of the non-precipitation echoes that occur during the operation of the weather radar is displayed in the image, its form and shape are shown in a long bar shape, and have a strong dBZ. We also found the cause of the interference through the radio tracking process, and solved through the frequency channel negotiation and AP output minimizing. The more wireless devices increase as information communication technology develops in the future, the more emphasized the problem of radio wave interference will be, and we must make the radio interference eliminated through the development of the radio interference cancellation algorithm.</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18744">
    <title>Fragment based QSAR Analysis of CXCR-2 Inhibitors Using Topomer CoMFA Approach</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18744</link>
    <description>Title: Fragment based QSAR Analysis of CXCR-2 Inhibitors Using Topomer CoMFA Approach
Author(s): Thirumurthy M
Abstract: CXC chemokine receptor 2 (CXCR2) is a prominent chemokine receptor on neutrophils. CXCR2 antagonist may reduce the neutrophil chemotaxis and alter the inflammatory response because the neutrophilic inflammation in the lung diseases is found to be largely regulated through CXCR2 receptor. Hence, in the present study, Topomer based Comparative Molecular Field Analysis (Topomer CoMFA) was performed on a series of CXCR2 antagonist named pyrimidine-5-carbonitrile-6-alkyl derivatives. The best Topomer COMFA model was obtained with significant cross-validated correlation coefficient ($q^2$ 수식 이미지 = 0.487) and non cross-validated correlation coefficients ($r^2$ 수식 이미지 = 0.980). The model was evaluated with six external test compounds and its $r^2{_{pred}}$ 수식 이미지 was found to be 0.616. The steric and electrostatic contribution map show that presence of bulkier and electropositive group around cyclopropyl ring may contribute more for improving the biological activities of these compounds. The generated Topomer CoMFA model could be helpful for future design of novel and structurally related CXCR2 antagonists.</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18747">
    <title>A Study on Real-Time Slope Monitoring System using 3-axis Acceleration</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18747</link>
    <description>Title: A Study on Real-Time Slope Monitoring System using 3-axis Acceleration
Author(s): So-Wol Yoo; Sang-Hyun Bae
Abstract: The researcher set up multiple sensor units on the road slope such as national highway and highway where there is a possibility of loss, and using the acceleration sensor built into the sensor unit the researcher will sense whether the inclination of the road slope occur in real time, and Based on the sensed data, the researcher tries to implement a system that detects collapse of road slope and dangerous situation. In the experiment of measuring the error between the actual measurement time and the judgment time of the monitoring system when judging the warning of the sensor and falling rock detection by using the acceleration sensor, the error between measurement time and the judgment time at the sensor warning was 0.34 seconds on average, and an error between measurement time and judgment time at falling rock detection was 0.21 seconds on average. The error is relatively small, the accuracy is high, and thus the change of the slope can be clearly judged.</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
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