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Design and Fabrication of Coaxial Rotorcraft-typed Micro Air Vehicle for Indoor Surveillance and Reconnaissance (실내감시정찰용 동축반전 헬리콥터형 미세비행체 설계 및 제작)

  • Byun, Young-Seop;Shin, Dong-Hwan;An, Jin-Ung;Song, Woo-Jin;Kim, Jeong;Kang, Beom-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.12
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    • pp.1388-1396
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    • 2011
  • This paper is focused on the procedure of the development of a micro air vehicle which has vertical take-off and landing capability for indoor reconnaissance mission. Trade studies on mission feasibility led to the proposal of a coaxial rotorcraft configuration as the platform. The survey to provide a guide for preliminary design were conducted based on commercial off-the-shelf platform, and the rotor performance was estimated by the simple momentum theory. To determine the initial size of the micro air vehicle, the modified conventional fuel balance method was applied to adopt for electric powered vehicle, and the sizing problem was optimized with the sequential quadratic programming method using MATLAB. The designed rotor blades were fabricated with high strength carbon composite material and integrated with the platform. The developed coaxial rotorcraft micro air vehicle shows stable handling quality with manual flight test in indoor situation.

유사배(劉師培)의 『중국민약정의』 연구 - 「상고(上古)」를 중심으로 -

  • Cheon, Byeong-Don
    • Journal of Korean Philosophical Society
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    • v.126
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    • pp.403-422
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    • 2013
  • 유사배(劉師培)는 '반청(反淸)'에서 반전통의 '무정부주의'로, 그리고 '친청(親淸)'으로 변절하는 파란만장한 삶을 살았다. "중국민약정의(中國民約精義)"는 유사배(劉師培)가 무정부운동을 하기 전, 즉 1903년에 완성한 저서다. 1903년은 유사배(劉師培)가 고향을 떠나 상해(上海)에서 반만(反滿) 운동을 시작했던 시기이고, 1907년 일본으로 유학가기 전 4년 여 동안 유사배(劉師培)는 반청(反淸) 운동에 적극적이었다. 따라서 "중국민약정의(中國民約精義)"는 무정부주의자들의 이념인 '반전통(反傳統)'의 관점에서 저술된 것이 아님을 알 수 있다. "중국민약정의(中國民約精義)" 서문은 다음과 같은 중요한 의미를 내포하고 있다. 첫째, 유사배(劉師培)가 참조한 루소의 "민약론"은 양정동(楊廷棟)이 일본어판을 보고 중국어로 번역한 "민약론"이다. 둘째, "민약론"의 내용은 널리 알려지지 않았다. 셋째, 원고는 1903년 이전에 완성되었고, 책은 1904년에 출판되었다. 유사배(劉師培)는 "주역"을 통해서는 '군민(君民)의 일체(一體)'를, "상서"를 통해서는 '군민(君民)이 국가의 공동주인'임을 밝혔다. "시"는 '민의(民意)의 표현'이라고 했으며, "춘추"를 통해 군주세습제와 민권(民權) 그리고 민의(民意)에 의해 관료 등용 등을 주장했다. "논어"를 통해서는 군신(君臣)의 대등 관계와 군민의 일체를 다시 강조하고, "맹자"와 "순자"를 통해 군주가 신성불가침의 영역이 아니기 때문에 민의(民意)를 근거로 군주도 바꿀 수 있다고 했다. 유사배(劉師培)의 이러한 주장만 놓고 보면, 중국은 비록 전제군주체제에 있었지만, 사람들은(人民) 민주제도를 향유한 것 같다. 그러나 실제로는 이와는 정반대의 길을 걸었던 것이 중국이다. 문제는 유사배(劉師培)의 주장처럼 루소의 "민약론"에 버금가는 사상과 역사적 사실이 있었음에도 불구하고, 그것을 제도화된 적이 없다는 점이다. 유사배(劉師培)가 "중국민약정의(中國民約精義)"에서 서술한 '민약(民約)'은 치도(治道) 방면과 비슷하다. 그러나 정도(政道) 방면에 대해서는 거의 언급이 없다. 게다가 서술된 '민약'의 내용이 한 번도 제도화된 적이 없다는 점에 대해 아무런 언급이 없다. 결국 비록 "중국민약정의(中國民約精義)"가 중국 전통사상에서 서구의 '민주' 개념을 모색했다는 점에서 높이 평가할 수 있으나, 그것을 제도화하지 못하고 또 치도(治道)에만 치중해 서술한 점이 "중국민약정의(中國民約精義)"의 약점이다.

Image Super-Resolution for Improving Object Recognition Accuracy (객체 인식 정확도 개선을 위한 이미지 초해상도 기술)

  • Lee, Sung-Jin;Kim, Tae-Jun;Lee, Chung-Heon;Yoo, Seok Bong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.6
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    • pp.774-784
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    • 2021
  • The object detection and recognition process is a very important task in the field of computer vision, and related research is actively being conducted. However, in the actual object recognition process, the recognition accuracy is often degraded due to the resolution mismatch between the training image data and the test image data. To solve this problem, in this paper, we designed and developed an integrated object recognition and super-resolution framework by proposing an image super-resolution technique to improve object recognition accuracy. In detail, 11,231 license plate training images were built by ourselves through web-crawling and artificial-data-generation, and the image super-resolution artificial neural network was trained by defining an objective function to be robust to the image flip. To verify the performance of the proposed algorithm, we experimented with the trained image super-resolution and recognition on 1,999 test images, and it was confirmed that the proposed super-resolution technique has the effect of improving the accuracy of character recognition.

Study on Performance Analyses on Coaxial Co-rotating Rotors of e-VTOL Aircraft for Urban Air Mobility (도심 항공 교통을 위한 전기동력 수직 이착륙기의 동축 동회전 로터의 성능해석 연구)

  • Lee, Yu-Been;Park, Jae-Sang
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.12
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    • pp.1011-1018
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    • 2021
  • This numerical study conducts the modeling and the hover performance analyses of coaxial co-rotating rotor(or stacked rotor), using a rotorcraft comprehensive analysis code, CAMRAD II. The important design parameters such as the index angle and axial spacing for the coaxial co-rotating rotor are varied in this simulation study. The coaxial co-rotating rotor is trimmed using the torque value of the upper rotor of the previous coaxial counter-rotating rotor or the total thrust value of the previous coaxial counter-rotating rotor in hover. The maximum increases in the rotor thrust is 1.84% for the index angle of -10° when using the torque trim approach. In addition, the maximum decreases in the rotor power is 4.53% for the index angle of 20° with the thrust trim method. Thus, the present study shows that the hover performance of the coaxial co-rotating rotor for e-VTOL aircraft can be changed by the index angle.

3D Medical Image Data Augmentation for CT Image Segmentation (CT 이미지 세그멘테이션을 위한 3D 의료 영상 데이터 증강 기법)

  • Seonghyeon Ko;Huigyu Yang;Moonseong Kim;Hyunseung Choo
    • Journal of Internet Computing and Services
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    • v.24 no.4
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    • pp.85-92
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    • 2023
  • Deep learning applications are increasingly being leveraged for disease detection tasks in medical imaging modalities such as X-ray, Computed Tomography (CT), and Magnetic Resonance Imaging (MRI). Most data-centric deep learning challenges necessitate the use of supervised learning methodologies to attain high accuracy and to facilitate performance evaluation through comparison with the ground truth. Supervised learning mandates a substantial amount of image and label sets, however, procuring an adequate volume of medical imaging data for training is a formidable task. Various data augmentation strategies can mitigate the underfitting issue inherent in supervised learning-based models that are trained on limited medical image and label sets. This research investigates the enhancement of a deep learning-based rib fracture segmentation model and the efficacy of data augmentation techniques such as left-right flipping, rotation, and scaling. Augmented dataset with L/R flipping and rotations(30°, 60°) increased model performance, however, dataset with rotation(90°) and ⨯0.5 rescaling decreased model performance. This indicates the usage of appropriate data augmentation methods depending on datasets and tasks.

MSSI System with Dispersion-managed Link Configured with Random-inverse Dispersion Maps (랜덤-반전 분산 맵으로 설계된 분산 제어 링크를 갖는 MSSI 시스템)

  • Seong-Real Lee
    • Journal of Advanced Navigation Technology
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    • v.27 no.4
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    • pp.457-462
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    • 2023
  • We proposed a flexible link configuration in a system combining mid-span spectral inversion (MSSI) and dispersion management used for long-distance transmission of high-capacity optical signals such as wavelength division multiplexing signals, and examined specific methods to increase chromatic dispersion and nonlinear distortion compensation effects. The dispersion map proposed to increase the flexibility of dispersion-managed link configuration has a 'random-inverse' structure. That is, in the proposed dispersion map, the residual dispersion per span (RDPS) of each fiber span in the first half section up to the optical phase conjugator is randomly distributed, and the RDPS distribution in the second half section reverses the distribution pattern of the first section. Although the proposed dispersion map has a random distribution of RDPS, it was confirmed that the distortion compensation effect is improved due to the fact that the dispersion profile is symmetrical with respect to the optical phase conjugator. In the dispersion map of the 'random-inverse' configuration, it was also confirmed that the compensation effect of the distorted wavelength division multiplexing signal becomes improved when the magnitude of the RDPS allocated to each fiber span is large.

Analysis of Outflow System at the Mangyeong River Basin (만경강 유역의 유출 체계 분석)

  • Lee, Ji Hun;Lee, Jung Hun;Kim, Seung Hyun;Kang, Noel
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.265-265
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    • 2020
  • 지구상의 물 순환은 구름이 형성되어 비나 눈의 형태로 낙하하여 지표수를 형성하거나 일부가 땅속으로 스며들어 지하수를 형성하기도 한다. 또한, 지표면이나 수면, 식물의 입면을 통해서 대기중으로 증발되기도 한다. 대기중으로 소실되지 않은 물은 지표수나 지하수로 하천을 통해 바다로 흘러간다. 이와 같은 물 순환을 수문순환(hydrologic cycle)이라고 한다(Lee, 2008). 하지만 인구 증가 및 산업화로 인해 농업용수, 공업용수, 생활용수 사용이 증가하며 하천에서 직접 물을 취수하여 사용하고 있고 하수종말처리장, 농수로 등을 통해 회귀되는 유량이 많아 하천의 유출 특성을 파악하는데 어려움이 있다. 따라서 정확한 하천 유출 체계 특성을 파악하기 위해서는 하천에서 사용되고 유입되는 물의 특성을 파악할 필요가 있다. 본 연구에서는 만경강 수계 및 제 1지류인 전주천에서 운영되고 있는 취·배수 시설에 대해 문헌조사와 현장조사를 진행하였으며, 조사한 내용을 토대로 하천의 물 사용 체계 모식도를 작성하였다. 만경강 유역의 조사대상 구간은 대아댐 하류에서 전주천 합류점까지의 구간에 대해 조사를 실시하였으며, 전주천 유역은 삼천합류점에서 만경강 본류 합류점까지와 삼천 유역의 구이저수지에서 전주천 합류점 까지를 조사구간으로 선정하였다. 문헌조사의 대상시설은 저수지, 양수장, 취입보, 하수처리장 등이며, 조사대상은 하천의 유출 특성에 영향을 줄 수 있는 시설로 최소 하루 기준으로 일 취수량 0.20㎥/s, 일 방류량 0.20㎥/s 이상이 되는 시설에 대해서만 수행하였다. 현장조사에서는 현장을 방문하여 취·배수시설의 위치와 유입구의 위치, 도수로 등을 조사하였으며, 취·배수 시설의 유량 정확도 평가를 위해 현장에서 유량측정을 수행하여 허가량과의 비교 검토를 실시하였다. 만경강은 농업용수 사용의 증가에 따라 상하류 유량반전이 빈번하게 발생하였으나 이 연구를 통해 검토한 결과 만경강 유역내의 상하류 유량반전 시기가 과거에 비해 감소하였으며, 완주군(오성교)관측소와 완주군(용봉교)관측소의 손실고가 안정적으로 변한 것으로 확인되었으며, 전주시(미산교)관측소 또한 관측소 상류에 위치한 취·배수영향을 고려하여 유출률을 산정한 결과 과거에 비해 손실고가 일정하게 유지되는 안정된 결과를 도출하였다. 따라서 유역의 유출 체계 특성을 체계적으로 관리하기 위해서는 하천의 취·배수시설에 대한 다양성을 고려하여 하천 유출 특성을 파악할 필요가 있다.

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Contrast Improvement in Diagnostic Ultrasound Strain Imaging Using Globally Uniform Stretching (진단용 초음파 변형률 영상에서 전역 균일 신장에 의한 콘트라스트 향상)

  • Kwon, Sung-Jae;Jeong, Mok-Kun
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.8
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    • pp.504-508
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    • 2010
  • In conventional diagnostic ultrasound strain imaging, when displaying strain image on a monitor, human visual characteristics are utilized such that hard regions are displayed as dark and soft regions are displayed as bright. Thus, hard regions representing tumor or cancer are displayed as dark, decreasing the contrast inside the lesion. Because the lesion area is stiff and thus displayed as dark, a method of inverting the image brightness and thereby increasing the contrast in the lesion for better diagnostic purposes is proposed wherein a postcompression signal is extended in the time domain by a factor corresponding to the reciprocal of the amount of the applied compression using a technique termed globally uniform stretching. Experiments were carried out to verify the proposed method on an ultrasound elasticity phantom with radio-frequency data acquired from a diagnostic ultrasound clinical scanner. It is found that the new method improves the contrast-to-noise ratio by a factor of up to about 1.8 compared to a conventional strain imaging method that employs a reversed gray color map without globally uniform stretching.

Isolated Leptomeningeal Enhancement in Anti-N-Methyl D-Aspartate Receptor Encephalitis: The Diagnostic Value of Contrast-Enhanced Fluid-Attenuated Inversion Recovery Imaging (항-NMDA 수용체 항체와 관련된 뇌염에서 단독 연수막 조영증강: 조영증강 유체감쇠반전회복기법 영상의 진단적 가치)

  • Jun Kyeong Park;Eun Ja Lee;Kwang Ki Kim
    • Journal of the Korean Society of Radiology
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    • v.83 no.4
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    • pp.945-950
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    • 2022
  • Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is a common autoimmune encephalitis that is noted to be a severe but treatable disease entity. Patients with anti-NMDAR encephalitis often develop psychotic symptoms, including delusions, hallucinations, and paranoia, as well as memory impairment and persistent loss of attention. However, MRI findings in such patients show no abnormalities in most cases. Although typical brain abnormality features, known as T2 hyperintensities, involve the brain parenchyma and contrast enhancement at the cerebral cortex or overlying meninges, isolated leptomeningeal enhancement has been rarely reported in anti-NMDAR encephalitis. Herein, we report a patient with anti-NMDAR encephalitis who presented with isolated leptomeningeal enhancement, additionally showing the diagnostic value of contrast-enhanced fluid-attenuated inversion recovery imaging.

Selection of TI for Suppression Fat Tissue of SPAIR and Comparative Study of SPAIR and STIR of Brain Fast SE T2 Weighted Imaging (뇌의 고속스핀에코 T2강조영상에서 지방조직 억제를 위한 SPAIR의 반전시간(TI) 결정 및 STIR 영상과의 비교 연구)

  • Lee, Hoo-Min;Kim, Ham-Gyum;Kong, Seok-Kyo
    • Journal of radiological science and technology
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    • v.32 no.1
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    • pp.95-99
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    • 2009
  • The purpose of this research is to seek SPAIR's reversal time (TI) which satisfies two conditions ; maintaining the suppression ability of fat tissue and simultaneously minimizing the inhomogeneity of fat tissue in T2 high-speed spin echo 3.0T magnetic resonance image (MRI) of the brain, and to compare SPAIR with STIR which is fat-suppression technique. The reversal times (TI) of SPAIR protocol are set to 1/2, 1/3, 1/6 and 1/12 of SPAIR TR (420 msec), namely 210 msec (8 people), 140 msec (26 people), 70 msec (26 people) and 35 msec (18 people) and STIR TI is set with 250 msec (26 people). With these parameter sets, we acquired the axis direction 104 images of the brain. In ROI ($50\;mm^2$) of output image, signal intensities of the fatty tissue, the muscular tissue, and the background were measured and the CNRs of fatty tissue and the muscular tissue were calculated. The inhomogeneity of the fatty tissue is SD/mean, where SD is the standard deviation and 'mean' is a average fatty tissue signal. Consequently, SPAIR TI is determined on either 1/3 or 1/6 of TR (420 ms) ; 140 ms or 70 ms. Because the difference of statistics in fat-suppression ability and inhomogeneity of fatty tissue is very small (p < 0.001), Selecting 140 ms seems to be better choice for the image quality. Meanwhile, Comparing SPAIR (TI : 140 ms) with STIR, the fat-suppression is not able to be considered statistically (p < 0.252), but the image quality is able to be considered statistically (p < 0.01). In conclusion, SPAIR is better than STIR in the image quality.

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