• Title/Summary/Keyword: Multi channel detector

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Fabrication of High Performance and Low Power Readout Integrated Circuit for $320{\times}256$ IRFPA ($320{\times}256$ 초점면배열 적외선 검출기를 위한 고성능 저 전력 신호취득회로의 제작)

  • Kim, Chi-Yeon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.10 no.2
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    • pp.152-159
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    • 2007
  • This paper describes the design, fabrication, and measurement of ROIC(ReadOut Integrated Circuit) for $320{\times}256$ IRFPA(InfraRed Focal Plane Array). A ROIC plays an important role that transfer photocurrent generated in a detector device to thermal image system. Recently, the high performance and low power ROIC adding various functions is being required. According to this requirement, the design of ROIC focuses on 7MHz or more pixel rate, low power dissipation, anti-blooming, multi-channel output mode, image reversal, various windowing, and frame CDS(Correlated Double Sampling). The designed ROIC was fabricated using $0.6{\mu}m$ double-poly triple-metal Si CMOS process. ROIC function factors work normally, and the power dissipation of ROIC is 33mW and 90.5mW at 7.5MHz pixel rate in the 1-channel and 4-channel operation, respectively.

Data Retrieval by Multi-Dimensional Signal Space Partitioning (다차원 신호공간 분할을 이용한 데이터 복원)

  • Jeon, Taehyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.6
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    • pp.674-677
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    • 2004
  • This paper deals with a systematic approach for the construction of the fixed-delay tree search (FDTS) detector in the intersymbol interference channel. The approach is based on the efficient multi-dimensional space partitioning. The Voronoi diagram (VoD) and the Delaunay tessellation (DT) of the multi-dimensional space are applied to implement the algorithm. In the proposed approach, utilizing the geometric information contained in the VOD/DT, the relative location of the observation sequence is determined which has been shown to reduce the implementation complexity. Detailed construction procedures are discussed followed by an example from the intersymbol interference communication channel.

Paticle size analyzer using laser diffraction (레이저 회절성을 이용한 입자크기 분포의 계측 및 해석)

  • 남부희;강성귀;유태우;방병렬;지규인
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.81-85
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    • 1992
  • We design a multi-element photo-detector to measure the size of particles using the diffracted light energy distribution. The scattered profile measured by the photodetector is sampled by a 32 channel analog-to-digital converter. A nonnegative least squares analysis translates the light energy distribution into the corresponding unique particle size distribution. The responses of the particle sizing system are studied theoretically and experimentally.

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Level Controller On Optical Signal of 40 Channel (40 채널 광 신호 레벨 제어기)

  • Yeom Jin-su;Hur Chang-Wu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.2
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    • pp.220-223
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    • 2006
  • In this paper, we studied about the level controller of optical signal with 40 channels by 4 VOA(Variable Optical Attenuator) with 12 channels. Total 8 microprocessors control 40 chamois for control of optical signal level so that a microprocessor controls 5 channels each. Moreover a microprocessor was added to communicate with outside and transfer instruction to each microprocessor. The output optical signal is measured and VOA is controlled as a result of it. The VOA outputs is inputted into PD(Photo Detector) at once. We could control multi-channel optical signals simply like this.

Deep learning classification of transient noises using LIGOs auxiliary channel data

  • Oh, SangHoon;Kim, Whansun;Son, Edwin J.;Kim, Young-Min
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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    • pp.74.2-75
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    • 2021
  • We demonstrate that a deep learning classifier that only uses to gravitational wave (GW) detectors auxiliary channel data can distinguish various types of non-Gaussian noise transients (glitches) with significant accuracy, i.e., ≳ 80%. The classifier is implemented using the multi-scale neural networks (MSNN) with PyTorch. The glitches appearing in the GW strain data have been one of the main obstacles that degrade the sensitivity of the gravitational detectors, consequently hindering the detection and parameterization of the GW signals. Numerous efforts have been devoted to tracking down their origins and to mitigating them. However, there remain many glitches of which origins are not unveiled. We apply the MSNN classifier to the auxiliary channel data corresponding to publicly available GravitySpy glitch samples of LIGO O1 run without using GW strain data. Investigation of the auxiliary channel data of the segments that coincide to the glitches in the GW strain channel is particularly useful for finding the noise sources, because they record physical and environmental conditions and the status of each part of the detector. By only using the auxiliary channel data, this classifier can provide us with the independent view on the data quality and potentially gives us hints to the origins of the glitches, when using the explainable AI technique such as Layer-wise Relevance Propagation or GradCAM.

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Evaluation of the effective dose and image quality of low-dose multi-detector CT for orthodontic treatment planning (3차원 안모분석을 위한 저선량 Multi-detector CT 영상의 유효선량 및 화질 평가)

  • Chung, Gi-Chung;Han, Won-Jeong;Kim, Eun-Kyung
    • Imaging Science in Dentistry
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    • v.40 no.1
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    • pp.15-23
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    • 2010
  • Purpose : This study was designed to compare the effective doses from low-dose and standard-dose multi-detector CT (MDCT) scanning protocols and evaluate the image quality and the spatial resolution of the low-dose MDCT protocols for clinical use. Materials and Methods : 6-channel MDCT scanner (Siemens Medical System, Forschheim, Germany), was used for this study. Protocol of the standard-dose MDCT for the orthodontic analysis was 130 kV, 35 mAs, 1.25 mm slice width, 0.8 pitch. Those of the low-dose MDCT for orthodontic analysis and orthodontic surgery were 110 kV, 30 mAs, 1.25 mm slice width, 0.85 pitch and 110 kV, 45 mAs, 2.5 mm slice width, 0.85 pitch. Thermoluminescent dosimeters (TLDs) were placed at 31 sites throughout the levels of adult female ART head and neck phantom. Effective doses were calculated according to ICRP 1990 and 2007 recommendations. A formalin-fixed cadaver and AAPM CT performance phantom were scanned for the evaluation of subjective image quality and spatial resolution. Results : Effective doses in ${\mu}Sv$ ($E_{2007}$) were 699.1, 429.4 and 603.1 for standard-dose CT of orthodontic treatment, low-dose CT of orthodontic analysis, and low-dose CT of orthodontic surgery, respectively. The image quality from the low-dose protocol were not worse than those from the standard-dose protocol. The spatial resolutions of both standard-dose and low-dose CT images were acceptable. Conclusion : From the above results, it can be concluded that the low-dose MDCT protocol is preferable in obtaining CT images for orthodontic analysis and orthodontic surgery.

Multi-Cell Transmit Diversity Scheme for OFDMA Systems (OFDMA 시스템을 위한 다중 셀 전송 다양성 기법)

  • Seo, Bangwon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37A no.9
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    • pp.721-727
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    • 2012
  • Since a conventional multi-cell transmit diversity scheme depends on the feedback from the user for the channel gain information, its performance gets to severely degrade when the channel varies fast due to the high mobility of the user. Also, transmit power of the base station cannot be fully used in the conventional scheme because only one transmit antenna is used for data transmission. In this paper, we propose a multi-cell transmit diversity scheme appropriate for fast fading channel. In the proposed scheme, channel-independent precoding vector is applied over all transmit antennas and different precoding vectors are applied for neighboring subcarriers so that the received signal is avoided to experience deep fading over multiple neighboring subcarriers. Simulation results show that the proposed scheme has better detector output signal-to-noise ratio (SNR) and bit error rate (BER) performances than the conventional scheme.

Machine Learning-Based Detection of Cache Side Channel Attack Using Performance Counter Monitor of CPU (Performance Counter Monitor를 이용한 머신 러닝 기반 캐시 부채널 공격 탐지)

  • Hwang, Jongbae;Bae, Daehyeon;Ha, Jaecheol
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.6
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    • pp.1237-1246
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    • 2020
  • Recently, several cache side channel attacks have been proposed to extract secret information by exploiting design flaws of the microarchitecture. The Flush+Reload attack, one of the cache side channel attack, can be applied to malicious application attacks due to its properties of high resolution and low noise. In this paper, we proposed a detection system, which detects the cache-based attacks using the PCM(Performance Counter Monitor) for monitoring CPU cache activity. Especially, we observed the variation of each counter value of PCM in case of two kinds of attacks, Spectre attack and secret recovering attack during AES encryption. As a result, we found that four hardware counters were sensitive to cache side channel attacks. Our detector based on machine learning including SVM(Support Vector Machine), RF(Random Forest) and MLP(Multi Level Perceptron) can detect the cache side channel attacks with high detection accuracy.

Signal Space Detection for High Data Rate Channels (고속 데이터 전송 채널을 위한 신호공간 검출)

  • Jeon , Taehyun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.10 s.340
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    • pp.25-30
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    • 2005
  • This paper generalizes the concept of the signal space detection to construct a fixed delay tree search (FDTS) detector which estimates a block of n channel symbols at a time. This technique is applicable to high speed implementation. Two approaches are discussed both of which are based on efficient signal space partitioning. In the first approach, symbol detection is performed based on a multi-class partitioning of the signal space. This approach is a generalization of binary symbol detection based on a two-class pattern classification. In the second approach, binary signal detection is combined with a look-ahead technique, resulting in a highly parallel detector architecture.

Under the fading channel environment, performance evaluation of AF CR loop Due to the quantization effect (페이딩 채널 환경하에서의 양자화 특성에 의한 AF CR loop의 성능평가)

  • 송재철;이경하;김선형;최형진
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.3
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    • pp.737-746
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    • 1996
  • In this paper, we present simulation result of quantization effects about a new Angular From Carrier Recovery Loop(AF CR loop) for PSK modulation technique. AF CR loop includes detected angle symbol and Multi Level hardimiter. In general, detected angle is used in dtermining symbol. Because detected angle is used to make an error signal of phase detector output, hardware implementation of AF CR loop is simpler than that of other loops. Before hardware implementation of AF CR loop, the result due to quantization effect should be investigated. In order to confirm quntization effect of AF CR loop, we evaluate performance of this loop by Monte-Carlosimulation method. Under both in the AWGN and Jake's fading noise channel environments, we confirmed the characteristics of AF CR loop in terms of RMS jitter due to quntization effect. Differential APSK modulation schemeis used in this paper. Especially, Jake's fading channel is used as a channel model and also AGC(Automatic Gain Control) is used in the overall process of performance evaluation. We obtained the resonable result of quantization effect about AF CR loop. With the result of performanceevaluation based on quantization effects, we can expect to operate AF CRloop under the fading channel environments reasonably well.

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