• 제목/요약/키워드: synthetic resonance

검색결과 68건 처리시간 0.024초

전기-유압식 추력벡터제어 구동장치시스템의 합성공진 특성 연구 (Research of Synthetic Resonance Characteristics for Electrohydraulic Thrust Vector Control Actuation System)

  • 민병주;최형돈;강이석
    • 항공우주기술
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    • 제7권1호
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    • pp.151-160
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    • 2008
  • 본 논문에서는 발사체에 적용하는 전기-유압식 추력벡터제어 구동장치시스템의 합성공진 현상에 대한 해석 연구결과를 기술한다. 합성공진 현상은 위치서보 구동장치시스템을 유연한 발사체 기체구조체 지지부에 장착하였을 때 발생한다. 이는 관성부하를 갖는 전기-유압식 위치서보 시스템의 유압공진 현상과 유연한 기체구조체 지지부의 구조공진 현상의 합성에 의하여 발생한다. 합성공진 현상은 발사체 제어시스템에 의하여 되먹임 및 증폭되어 안정성을 악화시킬 수 있다. 이와 같은 현상을 정확하게 예측 및 분석할 수 있는 비선형 모델을 개발하였으며 이에 기반을 둔 합성공진 억제 특성이 우수한 동적 압력 되먹임(dynamic pressure feedback) 제어기법을 개발하였다.

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Ferromagnetic Resonance Frequency of Patterned Synthetic Antiferromagnet

  • 공요찬;임상호;이경진
    • 한국표면공학회:학술대회논문집
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    • 한국표면공학회 2008년도 추계학술대회 초록집
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    • pp.57-58
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    • 2008
  • 외부 자기장이 spin-flip field보다 작은 조건 하에서 마이크로 사이즈로 패턴된 synthetic antiferromanet의 ferromagnetic resonance frequency를 표현할 수 있는 이론식을 유도했다. 또한 유도된 이론식을 통해 synthetic antiferromagnet의 기하학적, 자기적 성질이 ferromagnetic resonance frequency가 미치는 영향에 대해 연구했다.

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Dosimetric Evaluation of Synthetic Computed Tomography Technique on Position Variation of Air Cavity in Magnetic Resonance-Guided Radiotherapy

  • Hyeongmin Jin;Hyun Joon An;Eui Kyu Chie;Jong Min Park;Jung-in Kim
    • 한국의학물리학회지:의학물리
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    • 제33권4호
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    • pp.142-149
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    • 2022
  • Purpose: This study seeks to compare the dosimetric parameters of the bulk electron density (ED) approach and synthetic computed tomography (CT) image in terms of position variation of the air cavity in magnetic resonance-guided radiotherapy (MRgRT) for patients with pancreatic cancer. Methods: This study included nine patients that previously received MRgRT and their simulation CT and magnetic resonance (MR) images were collected. Air cavities were manually delineated on simulation CT and MR images in the treatment planning system for each patient. The synthetic CT images were generated using the deep learning model trained in a prior study. Two more plans with identical beam parameters were recalculated with ED maps that were either manually overridden by the cavities or derived from the synthetic CT. Dose calculation accuracy was explored in terms of dose-volume histogram parameters and gamma analysis. Results: The D95% averages were 48.80 Gy, 48.50 Gy, and 48.23 Gy for the original, manually assigned, and synthetic CT-based dose distributions, respectively. The greatest deviation was observed for one patient, whose D95% to synthetic CT was 1.84 Gy higher than the original plan. Conclusions: The variation of the air cavity position in the gastrointestinal area affects the treatment dose calculation. Synthetic CT-based ED modification would be a significant option for shortening the time-consuming process and improving MRgRT treatment accuracy.

L-C 공진회로를 이용한 대용량 간이 합성시험 설비 구축 (Construction of Simple Synthetic Testing Facility Using LC Resonance Circuit)

  • 권규진;김덕수;송원표;권기영;정준모;박경엽
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 A
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    • pp.409-411
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    • 1999
  • This paper proposes the circuit of the simple synthetic testing facility using LC resonance circuit. EMTP has been used to analyze the circuit. The obtained results indicate that the simple synthetic testing facility using LC resonance circuit can be easily designed and used very usefully for the research and development for the switchgears.

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Structure studies of Pulmonary Surfactant Protein B(SP-B(3,4)) by NMR Spectroscopy and Molecular Modeling

  • Kim, Yangmee;Dongha Baek;Kang, Joo-Hyun;Shin, Song-Yub;Hahm, Kyung-Soo
    • 한국자기공명학회논문지
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    • 제5권1호
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    • pp.37-45
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    • 2001
  • Synthetic pulmonary surfactants consisting of a mixture of phospholipids with synthetic peptides based on human surfactant-associated protein SP-B were prepared. These surfactants were analyzed f3r their secondary structures by circular dichroism (CD) spectroscopy and NMR spectroscopy. Two synthetic peptides (SP-B(3), SP-B(4)) combined with the phospholipid mixture displayed significant surfactant properties. The CD spectra showed that the u-helical propensities of the peptides in DPC micelles. In the NMR spectroscopy, the tertiary structures of SP-B(3) show that it has $\alpha$-helical structure from Gln5 to Arg13 in DPC micelle and SP-B(4) show that they have $\alpha$-helical structure from Gln5 to Leu12 in DPC micelle. Based on these structures, truncated peptides originated from SP-B protein, can be designed as effective synthetic surfactants for clinical use.

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간이 합성시험설비의 구성 및 회로특성 (Construction and Circuital Characteristics of Simple Synthetic Test Facility)

  • 이정희;박경엽;장기찬;신영준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 A
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    • pp.168-170
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    • 1995
  • This paper proposes the circuit of the simple synthetic testing facility using LC resonance circuit. The analyzed results of the circuit which can be useful for the design stage of the testing facility are also shown. EMTP has been used to analyze the circuit. Two cases of short-circuit test results obtained from the simple synthetic testing facility in KERI are shown with the waveforms of current and voltage. The results also indicate that the simple synthetic testing facility using LC resonance circuit can be easily designed and used very usefully for the research and development for the switchgears.

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LC 공진회로를 이용한 간이 합성시험설비 (Simple Synthetic Testing Facility Using LC Resonance Circuit)

  • 박종화;신영준;박경엽;류형기;김맹현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 B
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    • pp.631-635
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    • 1993
  • This paper shows the procedure to determine the physical variables of the simple synthetic testing facility using LC resonance circuit and presents the calculated results of those variables for the LC resonance circuit which can be used to test circuit breakers up to 36kV 40kA class. Attention has also been paid to the advantages of the LC resonance circuit compared with the method adopting short-circuit generator for the development of circuit breakers.

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Preliminary Application of Synthetic Computed Tomography Image Generation from Magnetic Resonance Image Using Deep-Learning in Breast Cancer Patients

  • Jeon, Wan;An, Hyun Joon;Kim, Jung-in;Park, Jong Min;Kim, Hyoungnyoun;Shin, Kyung Hwan;Chie, Eui Kyu
    • Journal of Radiation Protection and Research
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    • 제44권4호
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    • pp.149-155
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    • 2019
  • Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study

  • Lee, Jung Hwan;Han, In Ho;Kim, Dong Hwan;Yu, Seunghan;Lee, In Sook;Song, You Seon;Joo, Seongsu;Jin, Cheng-Bin;Kim, Hakil
    • Journal of Korean Neurosurgical Society
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    • 제63권3호
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    • pp.386-396
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    • 2020
  • Objective : To generate synthetic spine magnetic resonance (MR) images from spine computed tomography (CT) using generative adversarial networks (GANs), as well as to determine the similarities between synthesized and real MR images. Methods : GANs were trained to transform spine CT image slices into spine magnetic resonance T2 weighted (MRT2) axial image slices by combining adversarial loss and voxel-wise loss. Experiments were performed using 280 pairs of lumbar spine CT scans and MRT2 images. The MRT2 images were then synthesized from 15 other spine CT scans. To evaluate whether the synthetic MR images were realistic, two radiologists, two spine surgeons, and two residents blindly classified the real and synthetic MRT2 images. Two experienced radiologists then evaluated the similarities between subdivisions of the real and synthetic MRT2 images. Quantitative analysis of the synthetic MRT2 images was performed using the mean absolute error (MAE) and peak signal-to-noise ratio (PSNR). Results : The mean overall similarity of the synthetic MRT2 images evaluated by radiologists was 80.2%. In the blind classification of the real MRT2 images, the failure rate ranged from 0% to 40%. The MAE value of each image ranged from 13.75 to 34.24 pixels (mean, 21.19 pixels), and the PSNR of each image ranged from 61.96 to 68.16 dB (mean, 64.92 dB). Conclusion : This was the first study to apply GANs to synthesize spine MR images from CT images. Despite the small dataset of 280 pairs, the synthetic MR images were relatively well implemented. Synthesis of medical images using GANs is a new paradigm of artificial intelligence application in medical imaging. We expect that synthesis of MR images from spine CT images using GANs will improve the diagnostic usefulness of CT. To better inform the clinical applications of this technique, further studies are needed involving a large dataset, a variety of pathologies, and other MR sequence of the lumbar spine.

Quantitative NMR Analysis of PTMEG compounds

  • Kim, Gilhoon;Won, Hoshik
    • 한국자기공명학회논문지
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    • 제20권1호
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    • pp.7-12
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    • 2016
  • PTMEG(Polytetramethylene ether glycol) is a polymer compound widely used as a wide range of applications in the textile industry. PTMEG substance carrying various 1,800~2,000 molecular weight are mainly used as the raw material of the spandex production. Molecular weight and degree of polymerization value for 4 different PTMEG samples under pilot plant scale synthetic process were determined by a new quantitative NMR method. In NMR experiments, p-toluenesulfonic acid(TSOH) was used for external standard material of PTMEG quantitative analysis. were measuring The concentration of the primary standard TSOH was measured by UV/Vis spectroscopy. By using NMR peak assignments and the integral values of designated proton NMR peaks, We were able to measure the % composition of the synthetic PTMEG polymers, concentrations, molecular weight and the degree of polymerization that show the synthetic process of each manufacturing pilot plant. By utilizing a newly developed quantitative NMR method were able to obtain the molecular weight of PTMEG samples within 0.08 error % range.