• 제목/요약/키워드: detector data

검색결과 1,145건 처리시간 0.028초

The Effect of Multiple Energy Detector on Evidence Theory Based Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks

  • Khan, Muhammad Sajjad;Koo, Insoo
    • Journal of Information Processing Systems
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    • 제12권2호
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    • pp.295-309
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    • 2016
  • Spectrum sensing is an essential function that enables cognitive radio technology to explore spectral holes and resourcefully access them without any harmful interference to the licenses user. Spectrum sensing done by a single node is highly affected by fading and shadowing. Thus, to overcome this, cooperative spectrum sensing was introduced. Currently, the advancements in multiple antennas have given a new dimension to cognitive radio research. In this paper, we propose a multiple energy detector for cooperative spectrum sensing schemes based on the evidence theory. Also, we propose a reporting mechanism for multiple energy detectors. With our proposed system, we show that a multiple energy detector using a cooperative spectrum sensing scheme based on evidence theory increases the reliability of the system, which ultimately increases the spectrum sensing and reduces the reporting time. Also in simulation results, we show the probability of error for the proposed system. Our simulation results show that our proposed system outperforms the conventional energy detector system.

적외선 검출기 개발가능성 및 대안 분석 연구 (A Study on Feasibility Analysis and Alternatives for Infrared Detector Development)

  • 김경수;민성기;김철환
    • 시스템엔지니어링워크숍
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    • 통권4호
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    • pp.123-134
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    • 2004
  • This paper deals with the feasibility analysis and alternatives for infrared detector development. The purpose of this paper analyze development requirement and feasibility study in both technology and cost. We get raw input data for system engineering process from development and technical expert, and then analyze cost and technology for development feasibility, and alternative study. Infrared Detector is core component of Thermal Imaging System and developed by ADD from 2006 to 2008 year. Technical level is analyzed by TRL(Technical Readiness Level) and AOA(Analysis of Alternative) is done by development and production cost estimate. We use SEER-H tool for cost estimate, that is parametric cost estimate tool based on Knowledge Base. Also this paper presents risk analysis for project management because it is necessary to risk driver management during the infrared detector development. The result of IR Detector feasibility and alternative study will be used in technical and cost analysis. This study can help those who are related to the cost analysis and development feasibility of other weapons

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a-Se 기반의 X선 검출기에서의 고전장 간섭 연구 (The High Voltage Research of X-ray Detector Based on Amorphous Selenium)

  • 차병열;강상식;조성호;이규홍;김재형;남상희
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2002년도 하계학술대회 논문집 Vol.3 No.2
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    • pp.853-856
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    • 2002
  • Present. direct method x-ray conversion detector is studied by abroad medical instrument and country with amorphous Selenium. And we search the method for large area x-ray detector. Amorphous-Selenium based photoreceptor is widely used on the X-ray conversion materials. But amorphous-selenium based x-ray conversion detector is broken by high voltage and leakage defect point. In this paper, We investigated top-electrode distance rate to improve defect point and high voltage broken. The result to appoint to made large area x-ray conversion detector with base data.

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압력 센서를 이용한 씽글 헤드라인 타입의 캔 에어 리크 검출씨스템 개발 (Development Can Air Leak Detector System For Single Compression Head-Line Type Using Pressure Sensor)

  • 이종운
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1992년도 하계학술대회 논문집 A
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    • pp.506-507
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    • 1992
  • When it comes to the 'Leak Detector System' generally, our country has a large income 'Rotary Type Leak Detector' of foreign goods. The completed development of the 'Line Type Leak-Detector' system was produced to check Whether the containers for small and large on the filling line are auto defective. This system is applied to the filling package Processing during the production and contributed to inproving competiveness of domestic containers manufactures of all society of Industry. Also, high precision and realiablity, very compact size, low cost and Easy set-up etc. by checking the experimental data directly plan, Design and making for '1 Compression Head Control Leak Detector System'. This flexcible system can be equipped with multiple Compression heads depending on the requested prodution test rate and test precision.

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새로운 구조의 적응형 위상 검출기를 갖는 Gbps급 CMOS 클럭/데이타 복원 회로 (Giga-bps CMOS Clock and Data Recovery Circuit with a novel Adaptive Phase Detector)

  • 이재욱;이천오;최우영
    • 한국통신학회논문지
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    • 제27권10C호
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    • pp.987-992
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    • 2002
  • 본 논문에서는 ㎓대역의 고속 클럭 신호를 필요로 하는 데이터 통신 시스템 분야에 응용될 수 있는 새로운 구조의 클럭 및 데이터 복원회로를 구현하였다. 구현된 회로는 고속 데이터 전송시 주로 사용되는 NRZ형태의 데이터 복원에 적합한 구조로서 위상동기 회로에 발생하는 high frequency jitter를 방지하기 위한 새로운 위상 검출 구조를 갖추고 있다. 또 가변적인 지연시간을 갖는 delay cell을 이용한 위상검출기를 이용하여 위상 검출기가 갖는 dead zone 문제를 해결하고, 항상 최적의 동작을 수행하여 빠른 동기 시간을 갖는다. 수십 Gbps급 대용량을 수신할 수 있도록 다채널 확장에 용이한 구조를 사용하였으며, 1.25Gbps급 데이터를 복원하기 위한 클럭 생성을 목표로 하여 CMOS 0.25$\mu\textrm{m}$ 공정을 사용하여 구현한 후 그 동작을 측정을 통해 검증하였다.

A Study of Designing of Multi-Carrier CDMA System with Multi- Detector based on DGT

  • Kong, Hyung-Yun;Ho, Kwang-Chun
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.1343-1345
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    • 2002
  • In this paper, we introduce the MC-CDMA (Multi-Carrier CDMA) system with MD (multi-detector). Due to unknown functional form of noise in wireless channel environments, it is not easy to design the detector through estimating the functional form of noise. Instead, we design the MD, which is constructed based on DGT (Data Grouping Technique) and quantiles estimated through RMSA (Robbins-Monro Stochastic Approximation) algorithm.

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Rotating-Gantry-Based X-Ray Micro-Tomography System with the Sliding Mechanism Capable of Zoom-In Imaging

  • Cho, Min-Hyoung;Lee, Dong-Hun;Han, Byung-Hee;Lee, Soo-Yeol
    • 대한의용생체공학회:의공학회지
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    • 제29권2호
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    • pp.107-113
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    • 2008
  • We introduce a rotating-gantry-based x-ray micro-tomography system to be used for small animal imaging studies. It has the zoom-in imaging capability for high resolution imaging of a local region inside the animal subject without any contrast anomalies arising from truncation of the projection data. With the sliding mechanism mounted on the rotating gantry holding the x-ray source and the x-ray detector, we can control the magnification ratio of the x-ray projection data. By combining the projection data from the large field of view (FOV) scan of the whole animal subject and the projection data from the small FOV scan of the region of interest, we can obtain artifact-free zoomed-in images of the region of interest. For the acquisition of x-ray projection data, we use a $1248{\times}1248$ flat-panel x-ray detector with the pixel pitch of 100 mm. It has been experimentally found that the developed system has the spatial resolution of up to 121p/mm when the highest magnification ratio of 5:1 is applied to the zoom-in imaging. We present some in vivo rat femur images to demonstrate utility of the developed system for small animal imaging.

4X 오버샘플링을 이용한 3.125Gbps급 기준 클록이 없는 클록 데이터 복원 회로 (3.125Gbps Reference-less Clock and Data Recovery using 4X Oversampling)

  • 장형욱;강진구
    • 전기전자학회논문지
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    • 제10권1호
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    • pp.10-15
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    • 2006
  • 본 논문에서는 기준동작 클럭없이 데이터만으로 구현되는 반주기의 4x 오버샘플링 위상/주파수검출기를 이용한 클럭 데이터 복원회로에 대하여 서술하였다. 위상 및 주파수검출기는 4x 오버샘플링 기법을 이용하여 설계되었다. 위상검출기는 뱅뱅 제어방법에 의해, 주파수검출기는 로테이션방법에 의해 동작한다. 위상 및 주파수 검출기로부터 발생된 6개의 신호들은 전하펌프로 들어갈 전하량을 결정한다. VCO단은 4개의 차동 지연단으로 구성되고 8개의 클럭신호를 생성한다. 제안된 회로는 공급전압 1.8V, 0.18um MOCS 공정으로 설계 시뮬레이션되었다. 제안된 구조의 PD와 FD를 사용하여 25%의 넓은 트래킹 주파수 범위를 가진다.

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Development of a Small Animal CT using a Linear Detector Array and Small-Scale Slip Rings

  • An Ung Hwan;Chun In Kon;Lee Sang Chul;Cho Min Hyoung;Lee Soo Yeol
    • 대한의용생체공학회:의공학회지
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    • 제26권1호
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    • pp.43-47
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    • 2005
  • We have developed a small bore x-ray CT for small animal imaging with a linear x-ray detector array and small-scale slip rings. The linear x-ray detector array consists of 1024 elements of 400□m×400□m with a gadolinium oxysulfide (GOS) scintillator on top of them. To avoid use of expensive large diameter slip rings for projection data transmission from the X­ray detector to the image reconstruction system, we used the wireless LAN technology. The projection data are temporally stored in the data acquisition system residing on the rotating gantry during the scan and they are transmitted to the image reconstruction system after the scan. With the wireless LAN technology, we only needed to use small-scale slip rings to deliver the AC electric power to the X-ray generator and the power supply on the rotating gantry. The performances of the small animal CT system, such as SNR, contrast, and spatial resolution, have been evaluated through experiments using various phantoms. It has been experimentally found that the SNR is almost linearly proportional to the tube current and tube voltage, and the minimum resolvable contrast is less than 30 CT numbers at 40kVp/3.0㎃. The spatial resolution of the small animal CT system has been found to be about 0.9Ip/㎜. Postmortem images of a piglet is also presented.

컨볼루셔널 신경망과 케스케이드 안면 특징점 검출기를 이용한 얼굴의 특징점 분류 (Facial Point Classifier using Convolution Neural Network and Cascade Facial Point Detector)

  • 유제훈;고광은;심귀보
    • 제어로봇시스템학회논문지
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    • 제22권3호
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    • pp.241-246
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    • 2016
  • Nowadays many people have an interest in facial expression and the behavior of people. These are human-robot interaction (HRI) researchers utilize digital image processing, pattern recognition and machine learning for their studies. Facial feature point detector algorithms are very important for face recognition, gaze tracking, expression, and emotion recognition. In this paper, a cascade facial feature point detector is used for finding facial feature points such as the eyes, nose and mouth. However, the detector has difficulty extracting the feature points from several images, because images have different conditions such as size, color, brightness, etc. Therefore, in this paper, we propose an algorithm using a modified cascade facial feature point detector using a convolutional neural network. The structure of the convolution neural network is based on LeNet-5 of Yann LeCun. For input data of the convolutional neural network, outputs from a cascade facial feature point detector that have color and gray images were used. The images were resized to $32{\times}32$. In addition, the gray images were made into the YUV format. The gray and color images are the basis for the convolution neural network. Then, we classified about 1,200 testing images that show subjects. This research found that the proposed method is more accurate than a cascade facial feature point detector, because the algorithm provides modified results from the cascade facial feature point detector.