• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.372-372
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• 2014

반도체 검출기는 입사되는 X선 에너지에 의하여 이온화되어 발생하는 전자 전공쌍을 수집함으로 방사선 정보를 확인하는 선량계로써 많은 연구와 활용이 이루어지고 있다. 하지만, X선 에너지에 의하여 반도체 검출기에서 발생하는 전기적 신호량이 높지 않기 때문에 누설 전류의 저감이 필수적이다. 누설 전류를 저감시키기 위한 방안으로 반도체 층과 전극 층의 Schottky Contact 구조의 설계, Insulating Layer의 사용, 높은 비저항의 반도체 물질 연구 등이 이루어지고 있다. 하지만, 기존에 누설 전류 저감을 위하여 Insulating Layer를 전극층과 반도체 층 사이에 형성하는 연구에 있어서 Insulating Layer와 반도체 층의 계면 사이에서 발생하는 Charge Trapping으로 인하여 생성되는 신호의 Reproducibility 저하, 동영상 적용의 제한 등의 문제점을 겪어왔다. 이에 본 논문에서는 누설 전류를 저감시킴과 동시에 Charge Trapping의 최소화를 이루기 위하여 Insulating Layer의 두께 최적화 연구를 수행하였다. 본 연구에서 사용한 Insulating Layer는 검출기 표면에 입사하는 X선 정보 손실을 최소화 시키는 동시에 누설 전류와 Charge Trapping을 최소화 시키는 방법으로써 CVD방법으로 검출기 표면에 균일하게 Insulating Layer를 코팅하였다. Insulating 물질은 Parylene을 사용하였으며, 그 중 온도, 습도 등 외부환경에 영향을 적게 받는 type C를 사용하였다. 증착에 사용한 장비의 진공도는 Torr로 설정하여 증착되는 Parylene의 두께가 약 $0.3{\mu}m$가 되게 하였으며, 실험에는 반도체 물질 PbO를 사용하였다. Parylene의 절연 특성은 Dark Current와 Sensitivity를 측정한 SNR을 이용하여 Parylene코팅이 되지 않은 동일 반도체 검출기와의 신호를 비교하였으며 또한 Parylene를 다층 제작한 검출기의 수집 신호량을 비교하였다. 제작한 검출기의 X선 조사 시의 수집 전하량 측정 결과, 100 kVp, 100mA, 0.03s의 X선 조건에서 $1V/{\mu}m$의 기준 시, Parylene를 코팅하지 않은 PbO 검출기의 Dark current는 0.0501 nA/cm2, Sensitivity는 0.6422 nC/mR-cm2, SNR은 12.184이었으며, Parylene단층의 두께인 $0.3{\mu}m$로 증착된 시편의 Dark current는 0.04097 nA/cm2, Sensitivity는 0.53732 nC/mR-cm2으로 Dark current가 감소되고 sensitivity도 감소하였지만 SNR은 13.1150으로 높아진 것을 확인할 수 있었다. Perylene이 $0.6{\mu}m$로 증착된 시편의 경우, Dark Current는 0.04064 nA/cm2, Sensitivity는 0.31473 nC/mR-cm2, SNR은 7.7443으로써 Insulating Layer가 없는 시편보다 SNR이 약 40% 낮아진 것을 확인할 수 있었다. Parylene이 $0.9{\mu}m$로 증착된 시편의 경우 Dark current는 0.0378 nA/cm2, Sensitivity 0.0461 nC/mR-cm2로 Insulating Layer가 없는 시편에 비해 SNR은 약 1/12배 감소한 1.2196이었고, Parylene이 $1.2{\mu}m$로 증착된 시편의 SNR은 1.1252로서 더 감소하였다. 따라서 Parylene을 다층 코팅한 검출기일수록 절연 효과의 영향이 커짐으로써 SNR 비교 시 수집되는 신호량이 줄어드는 것을 확인하였다. 반도체 검출기의 누설 전류를 저감시킴과 동시에 신호 수집율에 영향을 최소화시키기 위하여 Insulating Layer의 두께를 적절하게 설정하여 적용하면 Insulating Layer가 없는 검출기에 비해 누설전류를 최소한으로 줄일 수 있고 신호 검출효율이 감소하는 것을 방지할 수 있을 것이라 사료된다.

• Journal of the Korean Society for Nondestructive Testing
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• v.26 no.4
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• pp.211-219
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• 2006

The UET(ultrasound excited thermography) for the ,eat-time diagnostics of the object employs an infrared camera to image defects of the surface and subsurface which are locally heated using high-frequency putted ultrasonic excitation. The dissipation of high-power ultrasonic energy around the feces of the defects causes an increase In temperature. The defect's image appears as a hot spot (bright IR source) within a dark background field. The UET for nondestructive diagnostic and evaluation is based on the image analysis of the hot spot as a local response to ultrasonic excited heat deposition. In this paper the applicability of VET for fast imaging of defect is described. The ultrasonic energy is injected into the sample through a transducer in the vertical and horizontal directions respectively. The voltage applied to the transducer is measured by digital oscilloscope, and the waveform are compared. Measurements were performed on four kinds of materials: SUS fatigue crack specimen(thickness 14mm), PCB plate(1.8 mm), CFRP plate(3 mm) and Inconel 600 plate (1 mm). A high power ultrasonic energy with pulse durations of 250ms Is injected into the samples in the horizontal and vertical directions respectively The obtained experimental result reveals that the dissipation loss of the ultrasonic energy In the vertical injection is less than that in the horizontal direction. In the cafe or PCB, CFRP, the size of hot spot in the vortical injection if larger than that in horizontal direction. Duration time of the hot spot in the vertical direction is three times as long as that in the horizontal direction. In the case of Inconel 600 plate and SUS sample, the hot spot in the horizontal injection was detected faster than that in the vertical direction

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.2
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• pp.81-88
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• 2018

Spectrum sensing, the key technology of the cognitive radio networks, is used by a secondary user to determine the frequency state of a primary user. The energy detection in the spectrum sensing determines the presence or absence of a primary user according to the intensity of the allocated channel signal. Since this technique simply uses the strength of the signal for spectrum sensing, it is difficult to detect the signal of a primary user in the low SNR band. In this paper, we propose a way to combine spectrum sensing and support vector machine using wavelet packet decomposition to overcome performance degradation in low SNR band. In our proposed scheme, the sensing signals were extracted by wavelet packet decomposition and then used as training data and test data for support vector machine. The simulation results of the proposed scheme are compared with the energy detection using the AUC of the ROC curve and the accuracy according to the SNR band. With simulation results, we demonstrate that the proposed scheme show better determining performance than one of energy detection in the low SNR band.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.150-151
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• 2010

본 논문에서는 잡음환경에서의 이중채널 음성인식을 위한 통계모델 기반 음성구간 검출 방법을 제안한다. 제안된 방법에서는 다채널 입력 신호로부터 얻어진 공간정보를 이용하여 음성 존재 및 부재 확률모델을 구하고 이를 통해 음성구간 검출을 행한다. 이때, 공간정보는 두 채널간의 상호 시간 차이와 상호 크기 차이로, 음성 존재 및 부재 확률은 가우시안 커널 밀도 기반의 확률모델로 표현된다. 그리고 음성구간은 각 시간 프레임 별 음성 존재 확률 대비 음성 부재 확률의 비를 추정하여 검출된다. 제안된 음성구간 검출 방법의 평가를 위해 검출된 구간만을 입력으로 하는 음성인식 성능을 측정한다. 실험결과, 제안된 공간정보를 이용하는 통계모델 기반의 음성구간 검출 방법이 주파수 에너지를 이용하는 통계모델 기반의 음성구간 검출 방법과 주파수 스펙트럼 밀도 기반 음성구간 검출 방법에 비해 각각 15.6%, 15.4%의 상대적 오인식률 개선을 보였다.

• Journal of Radiation Protection and Research
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• v.12 no.1
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• pp.26-33
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• 1987

An experimental study for an optimum etching of commercialized cellulose nitrate SSNTD, CA 80-15 and LR 115-1 for detecting alpha particles, was carried out. Alt-hough ordinary etching condition of the detectors has been recommended by the producer, a remarkable discrepancy in etching tine was found. The detectors were irradiated with a $0.1{\mu}Ci\;^{241}Am$ alpha source under a known geometrical arrangement. Analysis on the track size as functions of etching time and etchant concentration and comparative examination of theoretically predicted number of tracks per unit area with that recorded on the detectors were made, including a study on the variation of detection efficiency with the effective energy of the incident alpha particles.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.449-450
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• 2007

오래 전 부터 영상처리와 컴퓨터 비전은 많은 분야에 응용되고 발전 되어 왔다. 그러한 기술 중에 최근 각광 받고 있는 그래프 짓(Graph cut) 알고리즘은 에너지함수를 최소화 하는 가장 강력한 최적화 기법중 하나이다. 그리고 일반적으로 Sobel, Prewitt, Roberts, Canny 에지(edge) 검출기 등은 영상처리에서 영상상의 에지를 검출하기 위해 이미 널리 사용되고 발전되어 온 기술이다. 물체에서의 윤곽만 검출하기 위해서는 우리가 원하지 않는 영상 위의 에지도 검출되기 때문에 예지 검출기만으로는 물체의 윤곽만을 검출하는 것은 불가능하다. 우리는 물체의 윤곽만 검출하기를 원하기 때문에 그래프 컷과 에지 검출기의 알고리즘을 결합하면 이러한 문제를 해결 할 수 있다는 것을 제안한다. 이 논문에서는 그래프 컷 알고리즘과 에지 검출기에 관해 간략하게 기술하고 그 결과를 보일 것이다.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.11 no.3
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• pp.245-251
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• 2013

The energy band and the G-factor method were compared to determine the exposure rate from the measured spectrum using a NaI(Tl) scintillation detector. First, G-factors of a 3"${\Phi}X3$" NaI(Tl) detector mounted to a EFRD 3300, which means the environmental radiation monitor, in Korea Atomic Energy Research Institute (KAERI) were calculated for several directions of incident photons through the MCNP modeling, and the optimum G-factor applicable to that monitor was then determined by comparing the results both the energy band method and the G-factor method. The results for these spectrometric determinations were also compared with the dose rate from a HPIC radiation monitor around a EFRD 3300. The measured value at the EFRD 3300 based on a 3"${\Phi}X3$" NaI(Tl) detector was $7.7{\mu}R/h$ and its difference was shown about $3{\mu}R/h$, when compared with the results from a HPIC radiation moditor. Since a HPIC is known to be able to measure cosmic rays with the relatively high energy, the difference between them was caused by cosmic rays which were not detected in a 3"${\Phi}X3$" NaI(Tl) detector.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.8
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• pp.759-766
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• 2016

This paper is on a system design of recognizing sound sources and tracing locations from detecting a section of sound sources which is strong in surrounding environmental sounds about sound sources occurring in an abnormal situation by using signals within the section. In detection of the section with strong sound sources, weighted average delta energy of a short section is calculated from audio signals received. After inputting it into a low-pass filter, through comparison of values of the output result, a section strong in background sound is defined. In recognition of sound sources, from data of the detected section, using an HMM(: Hidden Markov Model) as a traditional recognition method, learning and recognition are realized from creating information to recognize sound sources. About signals of sound sources that surrounding background sounds are included, by using energy of existing signals, after detecting the section, compared with the recognition through the HMM, a recognition rate of 3.94% increase is shown. Also, based on the recognition result, location grasping by using TDOA(: Time Delay of Arrival) between signals in the section accords with 97.44% of angles of a real occurrence location.

• Journal of IKEEE
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• v.19 no.3
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• pp.282-287
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• 2015

In this study, an optical fiber detector was constructed by using a Ce:GAGG scintillator, optical fiber, and photomultiplier. The single crystal size of the scintillator was set to $3{\times}3{\times}20mm^3$ after simulating the counting efficiency of gamma rays in the scintillator by using the MCNPX code. The constructed detector used the standard gamma ray sources $^{137}Cs$ and $^{133}Ba$ to measure radiation and analyze the spectral characteristics of gamma rays. The resulting trend curve showed excellent linearity with an R-squared value of 0.99741, and the detector characteristics were found to vary 2% or less with distance based on comparison with the MCNPX value. Furthermore, the spectroscopic analysis of the gamma ray energy from the single-ray and mixed-ray sources showed that $^{137}Cs$ had its peak energy at 662 keV, and $^{133}Ba$ had at 356 keV. It seems that if the fiber-optics detector is used, working hours and exposure of worker can be reduced.

• Applied Chemistry for Engineering
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• v.33 no.5
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• pp.451-458
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• 2022

Semiconductor quantum dots (QDs) are optical probes with excellent fluorescence properties. Therefore, they have been applied to various bio-medical imaging techniques and biosensors. Due to the unique optical characteristics of wide absorption and narrow fluorescence energy bands, multiple types of signals can be generated by the combination of fluorescence wavelengths from different QDs, which enables the simultaneous detection of more than two biomarkers. In this review, the advantages and applications of QDs and QD nanobeads (QBs) in multiple biomarker assays were described, and new developments or improvements in multiplexed biomarker detection techniques were summarized. In particular, recent reports were summarized, focusing on the design strategies in immunoassay construction and signal transducing materials for fluorescence-linked immunosorbent assays using QDs and immunochromatographic assays using QBs. New detection platforms will be developed for early diagnosis of diseases and other fields if multiplexed detection technologies of excellent accuracy and sensitivity are combined with artificial intelligence algorithms.