• Title/Summary/Keyword: detector data

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Performance and functionality of SRI detector array and focal plane electronics

  • Kim, Young-Sun;Kong, Jong-Pil;Heo, Haeng-Pal;Park, Jong-Euk;Chang, Young-Jun
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.804-807
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    • 2006
  • The SRI(Super Resolution Imager) with 800mm aperture primary mirror is the ground development model of the high resolution satellite camera. The SRI focal plane electronics including detector array generates the data for high-resolution images by converting incoming light into digital stream of pixel data. Since the focal plane including a detector is the basic building block of the camera system, the main system performances is directly determined by its performance. This paper measures the SRI focal plane electronics’ performance such as the dark signal, the dark signal noise, the linearity, the PRNU(Photo Response Non-Uniformity), the SNR(Signal to Noise Ratio) and the sensor saturation capability. In addition, this paper verifies the various functionalities of the SRI focal plane electronics. The electrical test equipment with the specialized software and the optical test equipments such as the integrating sphere, the rotation stage and the target are implemented and used to verify these functionalities and performances.

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Signal Processing for Pulse Induction Metal Detector (자성센서 기반 지뢰탐지기를 위한 신호처리)

  • Shin, Beom-Su;Yang, DongWon;Jung, Byung-Min
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.532-538
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    • 2018
  • This paper proposes an algorithm for signal processing which is used in pulse induction metal mine detectors. The detection power can be obtained from magnetic variation on the search coil. The calibration data should be made when there is no target because the detection power is difference between with and without a target. And it is also updated periodically because of surrounding various noises. Lastly, we keep a watch on the signal slope to identify exact position and signal power of mine detection.

Optimal Design of a-Si TFT Array for Minimization of Data-line Capacitance and Its Implementation (데이터 배선 용량 최소화를 위한 비정질 실리콘 박막 트렌지스터 배열의 최적화 설계와 구현)

  • Kim, C.W.;Yoon, J.K.;Kim, S.Y.;Kim, J.H.
    • Journal of Biomedical Engineering Research
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    • v.29 no.5
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    • pp.392-399
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    • 2008
  • Thin-film transistor (TFT) arrays for an x-ray detector require quite different design concept from that of the conventional active-matrix liquid crystal devices (AM-LCDs). In this paper anew design of TFT array which uses only SiNx for passivation layer is described to meet the detector performance and the product availability simultaneously. For the purpose of optimizing the design parameters of the TFT array, a Spice simulation was performed. As a result, some parameters, such as the TFT width, the data line capacitance, and the storage capacitance, were able to be fixed. The other parameters were decided within a permissible range of the TFT process especially the photolithography process and the wet etch process. Then we adapted the TFT array which had been produced by the proposed design to our prototype model (FDXD-1417 and evaluated it clinically by comparing with a commercial model (EPEX, Hologic, Beford, USA). The results say that our prototype model is slightly better than EPEX system in chest PA images. So we can prove the technical usefulness and the commercial values of the proposed TFT design.

Multivariate Auxiliary Channel Classification using Artificial Neural Networks for LIGO Gravitational-Wave Detector

  • Oh, Sang-Hoon;Oh, John J.;Kim, Young-Min;Lee, Chang-Hwan;Vaulin, Ruslan;Hodge, Kari;Katsavounidis, Erik;Blackburn, Lindy;Biswas, Rahul
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.131.2-131.2
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    • 2011
  • We present performance of artificial neural network multivariate classifier in identifying non-astrophysical origin noise transients from the gravitational wave channel of Laser Interferometer Gravitational-wave Observatory (LIGO). LIGO has successfully conducted six science runs, achieving the sensitivity as planned and producing many fruitful scientific results. It has been well observed that the detector noise is non-Gaussian and non-stationary, which results in large excess of noise transients called glitches arising from instrumental and environmental artifacts. Great efforts have been committed to reduce the glitches by tuning the detector instruments and by vetoing them but further improvement is still needed. To this end, there have been efforts to incorporate data from hundreds of auxiliary, physical and environmental channels into identifying the glitches in the gravitational wave channel. We introduce a multivariate classification method using Artificial Neural Networks (ANNs) that efficiently handles large number of variables. In this poster, we present preliminary results of the application of our ANN algorithm to data from LIGO's Science Run 4 and compare its performance with conventional vetoing method.

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Sensing and Vetoing Loud Transient Noises for the Gravitational-wave Detection

  • Jung, Pil-Jong;Kim, Keun-Young;Oh, John J.;Oh, Sang Hoon;Son, Edwin J.;Kim, Young-Min
    • Journal of the Korean Physical Society
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    • v.73 no.9
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    • pp.1197-1210
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    • 2018
  • Since the first detection of gravitational-wave (GW), GW150914, September 14th 2015, the multi-messenger astronomy added a new way of observing the Universe together with electromagnetic (EM) waves and neutrinos. After two years, GW together with its EM counterpart from binary neutron stars, GW170817 and GRB170817A, has been observed. The detection of GWs opened a new window of astronomy/astrophysics and will be an important messenger to understand the Universe. In this article, we briefly review the gravitational-wave and the astrophysical sources and introduce the basic principle of the laser interferometer as a gravitational-wave detector and its noise sources to understand how the gravitational-waves are detected in the laser interferometer. Finally, we summarize the search algorithms currently used in the gravitational-wave observatories and the detector characterization algorithms used to suppress noises and to monitor data quality in order to improve the reach of the astrophysical searches.

Voltage dependent pulse shape analysis of Geiger-Müller counter

  • Almutairi, B.;Akyurek, T.;Usman, S.
    • Nuclear Engineering and Technology
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    • v.51 no.4
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    • pp.1081-1090
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    • 2019
  • Detailed pulse shape analysis of a Geiger-$M{\ddot{u}}ller$ counter is performed to understand the pulse shape dependence on operating voltage. New data is presented to demonstrate that not all pulses generated in a GM counter are identical. In fact, there is a strong correlation between the operating voltage and the pulse shape. Similar to detector deadtime, pulse shapes fall in three distinct regions. For low voltage region, where deadtime was reported to reduce with increasing voltage, pulse generated in this region was observed to have a fixed pulse width with a variable tail. The pulse width and fall time of the tail was observed to be a function of applied voltage; exponentially reducing with increasing voltage with an exponent of negative 6E-04 and 2E-03 respectively. The second region showed a pulse without any significant tail. During this time the detector deadtime was earlier reported to be at its minimum. The highest voltage region demonstrated a different deadtime mechanism where the second pulse was reduced in width. During this time the deadtime seemed to be increasing with increasing voltage. This data allows us to gain some unique insight into the phenomenon of GM detector deadtime not reported thus far.

Anomalous Trajectory Detection in Surveillance Systems Using Pedestrian and Surrounding Information

  • Doan, Trung Nghia;Kim, Sunwoong;Vo, Le Cuong;Lee, Hyuk-Jae
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.4
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    • pp.256-266
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    • 2016
  • Concurrently detected and annotated abnormal events can have a significant impact on surveillance systems. By considering the specific domain of pedestrian trajectories, this paper presents two main contributions. First, as introduced in much of the work on trajectory-based anomaly detection in the literature, only information about pedestrian paths, such as direction and speed, is considered. Differing from previous work, this paper proposes a framework that deals with additional types of trajectory-based anomalies. These abnormal events take places when a person enters prohibited areas. Those restricted regions are constructed by an online learning algorithm that uses surrounding information, including detected pedestrians and background scenes. Second, a simple data-boosting technique is introduced to overcome a lack of training data; such a problem particularly challenges all previous work, owing to the significantly low frequency of abnormal events. This technique only requires normal trajectories and fundamental information about scenes to increase the amount of training data for both normal and abnormal trajectories. With the increased amount of training data, the conventional abnormal trajectory classifier is able to achieve better prediction accuracy without falling into the over-fitting problem caused by complex learning models. Finally, the proposed framework (which annotates tracks that enter prohibited areas) and a conventional abnormal trajectory detector (using the data-boosting technique) are integrated to form a united detector. Such a detector deals with different types of anomalous trajectories in a hierarchical order. The experimental results show that all proposed detectors can effectively detect anomalous trajectories in the test phase.

A Study on the Counter Program of the Radiation Detector Using 8051 Micro-controller (8051 마이크로 콘트롤러를 이용한 휴대용 방사능 측정기의 카운터 프로그램 연구)

  • Kim, Yong-Duk;Park, Se-Kwang
    • Journal of Sensor Science and Technology
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    • v.6 no.3
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    • pp.228-236
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    • 1997
  • Radioactive materials need to control, measure and protect precisely the overflow because they are dangerous. In this paper, GM-counter type radiation detector system, that can precisely measure the quantity of radioactivity using improved counting program is designed and program that can store and transfer the counted data is studied. The manufactured system, counting system of GM-counter type radiation detector, and counter program can be utilized to measure them at various methods in an atomic power plant and research centers.

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Novel Structure of 21.6 inch a-Si:H TFT Array for the Direct X-ray Detector

  • Kim, Jong-Sung;Choo, Kyo-Seop;Park, June-Ho;Chung, In-Jae;Joo, In-Su
    • Journal of Information Display
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    • v.1 no.1
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    • pp.29-31
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    • 2000
  • A 21.6" a-Si:H TFT array for direct conversion X-ray detector with 2480 by 3072 pixels is successfully developed. To obtain X-ray image of satisfactory quality, a novel structure with a storage electrode on BCB is proposed. The structure reduces the parasitic capacitance of data line, which is one of the main sources of signal noise. Also, the structure shows greater resistance to failure than that of the conventional design.

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Development of On-Line Patial Discharge Detector for Power (운전 중인 전력기기의 부분방전 측정장치 개발에 관하여)

  • 김광화;선종호;김우성;이종구;이준모;강창원
    • Proceedings of the KSR Conference
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    • 2000.11a
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    • pp.733-739
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    • 2000
  • This paper is described the development of on-line partial discharge detector for high voltage apparatus. This detector consists of acoustic and high frequency current sensors, amplifier part, A/D converter part, data communication part and computer. The contents of paper are characteristics of units and digital signal processing for reducing noise in partial discharge detection. We seek methods to do good digital signal processing for detection of partial discharge. We apply digital filtering methods to the elect Tic signal and a cross con-elation to the acoustic signal. This paper shows the characteristics of these filtering method and cross con-elation in partial discharge detection.

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