• 제목/요약/키워드: Energy detection

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안테나 스위칭을 위한 에너지 검파 기반의 백스캐터 신호 검출 기법 (A Scheme for Energy Detection Based Backscatter Signal Detection for Switching Antenna)

  • 심이삭;황유민;이선의;김진영
    • 한국위성정보통신학회논문지
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    • 제11권2호
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    • pp.18-22
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    • 2016
  • 본 논문에서는 백스캐터 통신 주파수의 검파한 에너지의 평균을 이용하여 신호를 판단하는 법을 제안한다. Bistatic scatter radio 구조에 해당 모델을 적용시켜 Radio Frequency(RF) 에너지 하베스팅을 수행한다. RF 에너지 전송 시 태그가 모든 RF 신호를 하나의 Frequency Shift Keying(FSK) 대역폭으로 모두 반사하여, 수신기에서 하베스팅 신호와 백스캐터 신호의 차이를 판별할 수 있게 된다. 수신기는 이를 이용해 최적의 안테나 선택을 할 수 있다. 시뮬레이션을 통해 적절한 파라미터 설정을 통해 효과적으로 신호를 검출할 수 있는 것을 확인하였다.

흉부 X선 영상에 있어서 폐 종류 음영의 검출 (Detection of Pulmonary Nodules' Shadow on Chest X-ray Image)

  • 김응규;이도겸
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.293-294
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    • 2007
  • The purpose of this study is prove the effectiveness of an energy subtraction image for the detection of pulmonary nodules and the effectiveness of multi-resolutional filter on an energy subtraction image to detect pulmonary nodules. Also we study influential factors to the accuracy of detection of pulmonary nodules from viewpoints of types of images, types of digital filters and types of evaluation methods. As one type of images, we select an energy subtraction image, which removes bones such as ribs from the conventional X-ray image by utilizing the difference of X-ray absorption ratios at different energy between bones and soft tissue. Here we select two evaluation methods and make clear the effectiveness of multi-resolutional filter on an energy subtraction image.

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블루투스를 이용한 실내 영역 결정 방법 (Indoor Zone Detection based on Bluetooth Low Energy)

  • 조르주 프리산초;이제민;김형신
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2015년도 제52차 하계학술대회논문집 23권2호
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    • pp.279-281
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    • 2015
  • Location awareness is an important capability for mobile-based indoor services. Those indoor services have motivated the implementation of methods that need high computational load cost and complex mechanisms for positioning prediction. These mechanisms, such as opportunistic sensing and machine learning, require more energy consumption to achieve accuracy. In this paper, we propose the Bluetooth Low Energy indoor zone detection (BLEIZOD) technique. This method exploits the concept of proximity zone to reduce the load cost and complexity. Our proposed method implements the received signal strength indicator (RSSI) function more effectively to gain accuracy and reduce energy consumption.

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공조 시뮬레이터를 이용한 고장진단 실험 연구 (An Experimental Study on Fault Detection in the HVAC Simulator)

  • 태춘섭;양훈철;조수;장철용
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.807-813
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    • 2006
  • The objective of this study is to develop a rule-based fault detection algorithm and an experimental verification using an artificial air handling unit. To develop an analytical algorithm which precisely detects a tendency of faulty component, energy equations at each control volume of AHU were applied. An experimental verification was conducted on the HVAC simulator. The rule based FDD algorithm isolated a faulted sensor from HVAC components in summer and winter conditions.

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Cognitive Radio 시스템에서 불확실한 잡음 전력을 고려한 슬라이딩 윈도우 기반 에너지 검출 기법 (A Sliding Window-Based Energy Detection Method under Noise Uncertainty for Cognitive Radio Systems)

  • 김영민;손성환;김재명
    • 한국통신학회논문지
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    • 제33권11A호
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    • pp.1105-1116
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    • 2008
  • Cognitive Radio(CR)는 실제로 사용하지 않는 주파수 대역을 스스로 찾아서 이용함으로써 스펙트럼 효율을 향상시킬 수 있는 기술이다. 현재 사용되지 않는 스펙트럼 대역과 우선사용자(primary user)에 의해 점유되는 대역들을 찾기 위한 스펙트럼 센싱(spectrum sensing)은 CR 시스템에서 중요한 기술의 하나라고 말할 수 있다. 지금가지 연구된 스펙트럼 센싱 방법 중 에너지 검출 방식은 계산의 복잡도가 낮고 비교적 쉽게 구현 할 수 있어서 일반적으로 널리 사용되는 방식이지만 몇 가지 문제점들을 가지고 있다. 특히 불확실한 잡음 전력이 존재하는 환경에서는 에너지 검출기의 성능이 감쇠되기 때문에 이를 해결하기 위해 슬라이딩 윈도우 기반 에너지 검출 기법을 제안하였다. 이 방식은 슬라이딩 윈도우를 이용하여 관심대역에서 신호와 잡음이 가진 에너지를 분리하고 잡음을 제외한 신호의 에너지를 계산해서 우선사용자 신호의 존재 여부를 판단한다. 컴퓨터 시뮬레이션 결과를 통해 제안하는 에너지 검출 기법이 기존의 에너지 검출 방식 보다 우수한 성능을 지닌 다는 것을 확인하였다.

Preliminary Research of CZT Based PET System Development in KAERI

  • Jo, Woo Jin;Jeong, Manhee;Kim, Han Soo;Kim, Sang Yeol;Ha, Jang Ho
    • Journal of Radiation Protection and Research
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    • 제41권2호
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    • pp.81-86
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    • 2016
  • Background: For positron emission tomography (PET) application, cadmium zinc telluride (CZT) has been investigated by several institutes to replace detectors from a conventional system using photomultipliers or Silicon-photomultipliers (SiPMs). The spatial and energy resolution in using CZT can be superior to current scintillator-based state-of-the-art PET detectors. CZT has been under development for several years at the Korea Atomic Energy Research Institute (KAERI) to provide a high performance gamma ray detection, which needs a single crystallinity, a good uniformity, a high stopping power, and a wide band gap. Materials and Methods: Before applying our own grown CZT detectors in the prototype PET system, we investigated preliminary research with a developed discrete type data acquisition (DAQ) system for coincident events at 128 anode pixels and two common cathodes of two CZT detectors from Redlen. Each detector has a $19.4{\times}19.4{\times}6mm^3$ volume size with a 2.2 mm anode pixel pitch. Discrete amplifiers consist of a preamplifier with a gain of $8mV{\cdot}fC^{-1}$ and noise of 55 equivalent noise charge (ENC), a $CR-RC^4$ shaping amplifier with a $5{\mu}s$ peak time, and an analog-to-digital converter (ADC) driver. The DAQ system has 65 mega-sample per second flash ADC, a self and external trigger, and a USB 3.0 interface. Results and Discussion: Characteristics such as the current-to-voltage curve, energy resolution, and electron mobility life-time products for CZT detectors are investigated. In addition, preliminary results of gamma ray imaging using 511 keV of a $^{22}Na$ gamma ray source were obtained. Conclusion: In this study, the DAQ system with a CZT radiation sensor was successfully developed and a PET image was acquired by two sets of the developed DAQ system.

DWT 및 고주파 노이즈 성분 분석을 이용한 PV 시스템 인버터 노이즈 구분 및 직렬 아크 검출 (Separation Inverter Noise and Detection of DC Series Arc in PV System Based on Discrete Wavelet Transform and High Frequency Noise Component Analysis)

  • 안재범;조현빈;이진한;조찬기;이기덕;이진;임승범;류홍제
    • 전력전자학회논문지
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    • 제26권4호
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    • pp.271-276
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    • 2021
  • Arc fault detector based on multilevel DWT with analysis of high-frequency noise components over 100 kHz is proposed in this study to improve the performance in detecting serial arcs and distinguishing them from inverter noise in PV systems. PV inverters generally operate at a frequency range of 20-50 kHz for switching operation and maximum power tracking control, and the effect of these frequency components on the signal for arc detection leads to negative arc detection. High-speed ADC and multilevel DWT are used in this study to analyze frequency components above 100 kHz. Such high frequency components are less influenced by inverter noise and utilized to detect as well as separate DC series arc from inverter noise. Arc detectors identify the input current of PV inverters using a Rogowski coil. The sensed signal is filtered, amplified, and used in 800kSPS ADC and DWT analysis and arc occurrence determination in DSP. An arc detection simulation facility in UL1699B was constructed and AFD tests the proposed detector were conducted to verify the performance of arc detection and performance of distinction of the negative arc. The satisfactory performance of the arc detector meets the standard of arc detection and extinguishing time of UL1699B with an arc detection time of approximately 0.11 seconds.

The Application of a Pulsed Photostimulated Luminescence (PPSL) Method for the Detection of Irradiated Foodstuffs

  • Yi, Sang-Duk;Yang, Jae-Seung
    • Preventive Nutrition and Food Science
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    • 제5권3호
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    • pp.136-141
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    • 2000
  • The properties of pulsed photostimulated luminescence (PPSL) were measured to use as basis data for the detection of irradiated foodstuffs (34 different foods). Samples were packed in polyethylene bags and irradiated at 1, 5, and 10 kGy with a dose rate of 10 kGy/h. The samples irradiated were introduced in the sample chamber without other preparation and measured PPSL photon counts for 60 and 120 s. The PPSL photo counts of the irradiated samples were higher than the unirradiated, increased with increasing irradiation dose, and showed a good relationship between irradiation doses and photon counts in a multinomial expression. These results suggest that the detection of irradiated foodstuffs was possible by PPSL. Therefore, PPSL can be proposed as the method for the detection of irradiated foodstuffs.

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환경방사능 측정에서의 검출한계치의 정량적 고찰 및 최소검출방사능 농도 계산 (Determination of Minimum Detectable Activity in Environmental Samples)

  • 이명호;신현상;홍광희;조영현;이창우
    • Journal of Radiation Protection and Research
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    • 제24권3호
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    • pp.171-184
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    • 1999
  • 본 논문에서는 저준위 환경방사능 측정시 이용되는 검출한계에 대한 기본개념 및 수식을 통계학적 이론을 기초로 서술하였다. 방사능을 정확하게 검출할 신뢰도를 95%로 설정하여 알파 베타 및 감마선 측정기에 대한 검출한계치값을 계산하였다. 또한 환경 방사능 계측에 많이 사용되는 방사능 핵종에 대해 최소 검출 방사능 농도값을 검출한계치 개념을 근거로 계산하여 저준위 환경 방사능 분석시 환경방사능 측정결과에 대한 신뢰도 평가에 활용 가능 하도록 하였다.

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Improved fast neutron detection using CNN-based pulse shape discrimination

  • Seonkwang Yoon;Chaehun Lee;Hee Seo;Ho-Dong Kim
    • Nuclear Engineering and Technology
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    • 제55권11호
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    • pp.3925-3934
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    • 2023
  • The importance of fast neutron detection for nuclear safeguards purposes has increased due to its potential advantages such as reasonable cost and higher precision for larger sample masses of nuclear materials. Pulse-shape discrimination (PSD) is inevitably used to discriminate neutron- and gamma-ray- induced signals from organic scintillators of very high gamma sensitivity. The light output (LO) threshold corresponding to several MeV of recoiled proton energy could be necessary to achieve fine PSD performance. However, this leads to neutron count losses and possible distortion of results obtained by neutron multiplicity counting (NMC)-based nuclear material accountancy (NMA). Moreover, conventional PSD techniques are not effective for counting of neutrons in a high-gamma-ray environment, even under a sufficiently high LO threshold. In the present work, PSD performance (figure-of-merit, FOM) according to LO bands was confirmed using a conventional charge comparison method (CCM) and compared with results obtained by convolution neural network (CNN)-based PSD algorithms. Also, it was attempted, for the first time ever, to reject fake neutron signals from distorted PSD regions where neutron-induced signals are normally detected. The overall results indicated that higher neutron detection efficiency with better accuracy could be achieved via CNN-based PSD algorithms.