• Title/Summary/Keyword: 빔 소스모델

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원형 이온빔 소스의 방전 이미지 분석을 통한 중성입자 밀도의 공간분포 측정

  • Im, Yu-Bong;Kim, Ho-Rak;Park, Ju-Yeong;Kim, Jong-Guk;Lee, Seung-Hun;Seon, Jong-Ho;Lee, Hae-Jun;Choe, Won-Ho
    • Proceedings of the Korean Vacuum Society Conference
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    • 2014.02a
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    • pp.245.1-245.1
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    • 2014
  • 교차하는 전기장과 자기장으로 플라즈마를 방전하고, 이온 빔을 효과적으로 가속하는 원형 이온 빔 소스를 개발하였다. 방위각 방향으로 비대칭적인 중성 가스와 전자 빔의 공급으로 이온 빔 소스에서 불안정하고 불균일한 플라즈마가 방전되어, 이온 소스의 효율을 저하시킨다. 본 연구에서는 플라즈마 이미지를 이용하여 이온 소스 내부에서의 중성입자 밀도 분포를 측정하는 방법을 개발하였다. 자기장의 방향이 서로 다른 방전조건에서 얻어지는 한 쌍의 플라즈마 이미지로부터 티코노프 정형화 기법을 이용하여 방위각에 대한 중성입자의 밀도 분포를 재구성한다. 본 재구성 기법을 이용하여 얻어진 밀도 분포는 유체흐름 등가회로 모델을 바탕으로 한 수치해석을 이용하여 분석하였다. 중성입자 밀도의 공간분포는 인가 전압, 자기장의 세기 및 유량과 같은 방전조건의 변화에 크게 영향을 받지 않고, 가스 공급부의 내부 구조에 의해 결정되는 것을 확인하였다. 또한, 등가회로 모델을 이용하여 균일한 공간분포를 얻기 위한 공급부 설계를 수행하였다.

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Beam stability improvement of liquid metal ion source (액체 금속 이온원의 빔 안정도 향상)

  • Hyun J. W.;Yim Youn Chan;Kim Seuong Soo;Oh Hyun Joo;Park Cheol Woo;Lee Jong Hang;Choi Eun Ha;Seo Yunho;Kang Seung Oun
    • Journal of the Korean Vacuum Society
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    • v.13 no.4
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    • pp.182-188
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    • 2004
  • Previous studies on the liquid Gallium ion sources used an electro-chemically etched tungsten wire with a coil-type heater. Such a structure requires excessive power consumption in the course of heating the liquid metal. In this work, a new structure is proposed that replaces the coil-type heater. It uses a Gallium reservoir made of six pre-etched 250$\mu\textrm{m}$ tungsten wires that surround the needle electrode. Gallium trading at the reservoir is observed to be much more stable, resulting in an improved beam stability.

A Microphone Array Beamformer for the Performance Enhancement of Speech Recognizer in Car (차량환경에서 음성인식 성능 향상을 위한 마이크로폰 어레이 빔형성 기법)

  • Han Chul-Hee;Kang Hong-Goo;Hwang Youngsoo;Youn Dae-Hee
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.7
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    • pp.423-430
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    • 2005
  • In this paper. a microphone array beamforming algorithm that reduces the signal distortion caused by reverberation and near-field effect in car environment is proposed. When reverberation or near-field effect is present, an optimum beamformer should be constructed with a steering vector consisting of transfer functions between source and microphones, but it is generally difficult to estimate transfer functions on-line without knowledge of the source signal. Instead, a sub-optimal beamforming algorithm that reduces signal distortion is proposed. It is constructed with steering vectors consisting of relative transfer functions between reference sensor and other sensors. In order to evaluate the performance of the proposed algorithm. we had recorded noisy speech database in a car, and performed speech recognition experiments with HMM Toolkit (HTK) released by Cambridge University. The recognition rate of the proposed algorithm was 15 percents higher than that of the conventional far-field beamformers in best case.

Deep Learning-Based Prediction of the Quality of Multiple Concurrent Beams in mmWave Band (밀리미터파 대역 딥러닝 기반 다중빔 전송링크 성능 예측기법)

  • Choi, Jun-Hyeok;Kim, Mun-Suk
    • Journal of Internet Computing and Services
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    • v.23 no.3
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    • pp.13-20
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    • 2022
  • IEEE 802.11ay Wi-Fi is the next generation wireless technology and operates in mmWave band. It supports the MU-MIMO (Multiple User Multiple Input Multiple Output) transmission in which an AP (Access Point) can transmit multiple data streams simultaneously to multiple STAs (Stations). To this end, the AP should perform MU-MIMO beamforming training with the STAs. For efficient MU-MIMO beamforming training, it is important for the AP to estimate signal strength measured at each STA at which multiple beams are used simultaneously. Therefore, in the paper, we propose a deep learning-based link quality estimation scheme. Our proposed scheme estimates the signal strength with high accuracy by utilizing a deep learning model pre-trained for a certain indoor or outdoor propagation scenario. Specifically, to estimate the signal strength of the multiple concurrent beams, our scheme uses the signal strengths of the respective single beams, which can be obtained without additional signaling overhead, as the input of the deep learning model. For performance evaluation, we utilized a Q-D (Quasi-Deterministic) Channel Realization open source software and extensive channel measurement campaigns were conducted with NIST (National Institute of Standards and Technology) to implement the millimeter wave (mmWave) channel. Our simulation results demonstrate that our proposed scheme outperforms comparison schemes in terms of the accuracy of the signal strength estimation.

Dosimetric Evaluation of a Small Intraoral X-ray Tube for Dental Imaging (치과용 초소형 X-선 튜브의 선량평가)

  • Ji, Yunseo;Kim, YeonWoo;Lee, Rena
    • Progress in Medical Physics
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    • v.26 no.3
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    • pp.160-167
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    • 2015
  • Radiation exposure from medical diagnostic imaging procedures to patients is one of the most significant interests in diagnostic x-ray system. A miniature x-ray intraoral tube was developed for the first time in the world which can be inserted into the mouth for imaging. Dose evaluation should be carried out in order to utilize such an imaging device for clinical use. In this study, dose evaluation of the new x-ray unit was performed by 1) using a custom made in vivo Pig phantom, 2) determining exposure condition for the clinical use, and 3) measuring patient dose of the new system. On the basis of DRLs (Diagnostic Reference Level) recommended by KDFA (Korea Food & Drug Administration), the ESD (Entrance Skin Dose) and DAP (Dose Area Product) measurements for the new x-ray imaging device were designed and measured. The maximum voltage and current of the x-ray tubes used in this study were 55 kVp, and 300 mA. The active area of the detector was $72{\times}72mm$ with pixel size of $48{\mu}m$. To obtain the operating condition of the new system, pig jaw phantom images showing major tooth-associated tissues, such as clown, pulp cavity were acquired at 1 frame/sec. Changing the beam currents 20 to $80{\mu}A$, x-ray images of 50 frames were obtained for one beam current with optimum x-ray exposure setting. Pig jaw phantom images were acquired from two commercial x-ray imaging units and compared to the new x-ray device: CS 2100, Carestream Dental LLC and EXARO, HIOSSEN, Inc. Their exposure conditions were 60 kV, 7 mA, and 60 kV, 2 mA, respectively. Comparing the new x-ray device and conventional x-ray imaging units, images of the new x-ray device around teeth and their neighboring tissues turn out to be better in spite of its small x-ray field size. ESD of the new x-ray device was measured 1.369 mGy on the beam condition for the best image quality, 0.051 mAs, which is much less than DRLs recommended by IAEA (International Atomic Energy Agency) and KDFA, both. Its dose distribution in the x-ray field size was observed to be uniform with standard deviation of 5~10 %. DAP of the new x-ray device was $82.4mGy*cm^2$ less than DRL established by KDFA even though its x-ray field size was small. This study shows that the new x-ray imaging device offers better in image quality and lower radiation dose compared to the conventional intraoral units. In additions, methods and know-how for studies in x-ray features could be accumulated from this work.