• 한국안전학회지
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• 제14권3호
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• pp.146-154
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• 1999

The feasibility of using AE for monitoring mechanical failure in concrete structures has been tested. Specifically, the relationship between the fracture and the characteristics of AE signal is theoretically and experimentally investigated. The experimental results manifest that the high sensitivity of AE signal to the fracture of concrete structure makes it a good choice as sensor for monitoring concrete structure.

• Imaging Science in Dentistry
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• 제45권2호
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• pp.81-87
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• 2015

Purpose: Contrast, sharpness, enhancement, and density can be changed in digital systems. The important question is to what extent the changes in these variables affect the accuracy of caries detection. Materials and Methods: Forty eight extracted human posterior teeth with healthy or proximal caries surfaces were imaged using a photostimulable phosphor (PSP) sensor. All original images were processed using a six-step method: (1) applying "Sharpening 2" and "Noise Reduction" processing options to the original images; (2) applying the "Magnification 1:3" option to the image obtained in the first step; (3) enhancing the original images by using the "Diagonal/"option; (4) reviewing the changes brought about by the third step of image processing and then, applying "Magnification 1:3"; (5) applying "Sharpening UM" to the original images; and (6) analyzing the changes brought about by the fifth step of image processing, and finally, applying "Magnification 1:3." Three observers evaluated the images. The tooth sections were evaluated histologically as the gold standard. The diagnostic accuracy of the observers was compared using a chi-squared test. Results: The accuracy levels irrespective of the image processing method ranged from weak (18.8%) to intermediate (54.2%), but the highest accuracy was achieved at the sixth image processing step. The overall diagnostic accuracy level showed a statistically significant difference (p=0.0001). Conclusion: This study shows that the application of "Sharpening UM" along with the "Magnification 1:3" processing option improved the diagnostic accuracy and the observer agreement more effectively than the other processing procedures.

• Imaging Science in Dentistry
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• 제47권1호
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• pp.25-31
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• 2017

Purpose: The aim of this study was to compare the diagnostic accuracy of previously trained endodontists in the detection of artificially created periapical lesions using cone-beam computed tomography (CBCT) and digital periapical radiography (DPR). Materials and Methods: An ex vivo model using dry skulls was used, in which simulated apical lesions were created and then progressively enlarged using #1/2, #2, #4, and #6 round burs. A total of 11 teeth were included in the study, and 110 images were obtained with CBCT and with an intraoral digital periapical radiographic sensor (Instrumentarium dental, Tuusula, Finland) initially and after each bur was used. Specificity and sensitivity were calculated. All images were evaluated by 10 previously trained, certified endodontists. Agreement was calculated using the kappa coefficient. The accuracy of each method in detecting apical lesions was calculated using the chisquare test. Results: The kappa coefficient between examiners showed low agreement (range, 0.17-0.64). No statistical difference was found between CBCT and DPR in teeth without apical lesions (P=.15). The accuracy for CBCT was significantly higher than for DPR in all corresponding simulated lesions(P<.001). The correct diagnostic rate for CBCT ranged between 56.9% and 73.6%. The greatest difference between CBCT and DPR was seen in the maxillary teeth (CBCT, 71.4%; DPR, 28.6%; P<.01) and multi-rooted teeth (CBCT, 83.3%; DPR, 33.3%; P<.01). Conclusion: CBCT allowed higher accuracy than DPR in detecting simulated lesions for all simulated lesions tested. Endodontists need to be properly trained in interpreting CBCT scans to achieve higher diagnostic accuracy.

• 센서학회지
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• 제8권1호
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• pp.38-44
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• 1999

본 논문에서는 8빔 압저항형 가속도센서에서 하나 이상의 빔이 파손되는 대부분의 경우에 대하여 에러신호를 검출할 수 있는 자기진단회로를 구현하고, 이를 PSPICE를 사용하여 시뮬레이션으로 그 기능을 확인하였다. 또한 현재 상용으로 나오는 KA 324 증폭기의 레이아웃을 사용하여 자기진단회로를 표준 바이폴라(bipolar)공정을 이용하여 IC칩으로 제조하고, 24핀 플라스틱 패키지 한 후 자기진단 특성을 조사하였다. 이때, 측정된 회로의 자기진단 특성을 시뮬레이션 결과와 비교하였다.

• 융합신호처리학회논문지
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• 제9권2호
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• pp.112-120
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• 2008

본 연구는 전통적인 수지(手指)를 이용한 진맥환경 하에서 객관성 있는 정량적 정보를 수집하기 위해 한의학 진단법에 입각한 맥상(脈象)과 병상(病象)진단을 위한 시스템을 개발하는데 그 목적이 있다. 이를 위하여 우선, 최적합한 진단정보를 취득하기 위한 진맥기로서 골무형태의 센서유닛을 제안하고, 이것을 인지, 중지, 약지에 장착하여 전통적인 방법으로 척관촌(尺關寸)점의 맥압파를 측정하는 방법을 제시하였다. 다음으로, 이 진맥기를 사용하여 한의 진단학에서 정의하고 있는 부침지삭허실(浮沈遲數虛實)맥으로 표현되는 육조맥(六祖脈)과 홍(洪), 유(濡), 혁(革), 산(散)맥 등을 포함하는 28맥을 객관적으로 인식할 수 있음을 해석적으로 밝혔다. 끝으로, 이 진맥기로서 측정한 압맥파로부터 맥상 진단에 기초가 되는 주요 파라미터를 추출하는 방법을 제시했다.

• International Journal of Internet, Broadcasting and Communication
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• 제10권3호
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• pp.136-145
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• 2018

The disaster monitoring technique by combination of the measurement method and the fine precision of the sensor collecting the satellite-based information that can determine the displacement space is available in a variety of diagnostic information and the GIS/GNSS by first sensor it is being requested from them. Be large and that the facility is operated nationally distributed torsional displacement of the terrain and facilities caused by such natural disasters progress of various environmental factors and the surroundings. To diagnose this spatial information, which contains the various sensors and instruments tracks the precise fine displacement of the main construction structures and the first reference in the Geospatial or more three-dimensional detailed available map and location information using the installed or the like bridges and tunnels produced to a USN/IoT change at any time, by combining the various positioning analysis of mm-class for the facility main area observed is required to constantly in the real time information of the USN/IoT environment sensor, and to utilize this as a precise fine positioning information by UAV/Drone to the precise fine displacement of the semi-permanent infrastructures. It managed to be efficient management by use of new technologies, analyzing the results presented to a method capable of real-time monitoring for a large structure or facility to construction disaster prevention.

• 센서학회지
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• 제25권1호
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• pp.8-12
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• 2016

A planar, light-weight, and low-cost notch filter structure is required for the KSTAR ECEI (Electron Cyclotron Emission Imaging) system to protect the mixer arrays from spurious plasma heating power. Without protection, this heating power can significantly degrade or damage the performance of the mixer array. To protect mixer arrays, a frequency selective surface (FSS) structure is the suitable choice as a notch filter to reject the spurious heating power. The FSS notch filter should be located between the lenses of the ECEI system. This paper presents a 170 GHz FSS notch filter for the KSTAR ECEI sensor application. The design of such an FSS notch filter is based on the single-sided square loop geometry, because that makes it relatively insensitive to the incident angle of incoming wave. The FSS notch filter exhibits high notch rejection with low pass-band insertion loss over a wide range of incident angles. This paper also reviews the simulated and measured results. The proposed FSS notch filter might be implemented in other millimeter-wave plasma devices.

• Nuclear Engineering and Technology
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• 제54권11호
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• pp.3996-4004
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• 2022

The data collected by the In-Situ Decommissioning (ISD) sensors are time-specific, age-specific, and developmental stage-specific. Research has been done on the stream data collected by ISD testbed in the recent few years to seek both frequent episodes and abnormal frequent episodes. Frequent episodes in the data stream have confirmed the daily cycle of the sensor responses and established sequences of different types of sensors, which was verified by the experimental setup of the ISD Sensor Network Test Bed. However, the discovery of abnormal frequent episodes remained a challenge because these abnormal frequent episodes are very small signals and may be buried in the background noise of voltage and current changes. In this work, we proposed Advanced Data Analytics (ADA) methods that are applied to the baseline data to identify frequent episodes and extended our approach by adding more features extracted from the baseline data to discover abnormal frequent episodes, which may lead to the early indicators of ISD system failures. In the study, we have evaluated our approach using the baseline data, and the performance evaluation results show that our approach is able to discover frequent episodes as well as abnormal frequent episodes conveniently.

• 한국의학물리학회지:의학물리
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• 제13권1호
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• pp.44-50
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• 2002

실험실에서 성장시킨 CsI(T1)섬광체를 이용하여 검출기를 설계 제작하고 분광 및 출력특성을 조사하여 핵분광과 진단방사선센서로서의 응용가능성을 타진해 보았다. CsI(T1)단결정은 수직 Bridgman성장장치를 이용하여 지름 11mm, 몰농도 0.001mo1%로 성장시키었다. 이 단결정을 광다이오드를 이용하여 방사선 센서로 제작한 후, $^{22}$ Na, /up 137/Cs, $^{30}$ Co 표준감마선원에 대한 에너지 분해능을 각각 측정하였으며 진단 X선 영역에 대한 출력특성도 측정하였다. $^{22}$ Na의 0.511 MeV 의 경우13.2%, $^{137}$Cs의 0.662 MeV의 경우 8.3%, 그리고 $^{60}$Co의 1.17 MeV와 1.332 MeV에 대해서는 각각 6.7%와 5.1%의 에너지 분해능을 얻었다. 또한 관전압 60kVp, 80kVp, 100kVp, 120kVp 에 대하여 5mAs부터 80mAs 까지 진단 X선영역에 대한 출력 선형성을 확인하였다.

• 한국전기전자재료학회논문지
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• 제25권2호
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• pp.147-152
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• 2012

This paper dealt with the frequency component analysis of acoustic signals produced by corona and series-arc discharges as a diagnostic technique for closed-switchboards. Corona and series-arc discharge were simulated by a needle-plane electrode and an arc generator specified in UL1699, respectively. Acoustic signal was detected by a wideband acoustic sensor with a frequency bandwidth of 4 Hz~100 kHz (-3 dB). We analyzed frequency spectrums of the acoustic signals detected in various discharge conditions. The results showed that acoustic signals mainly exist in ranges from 30 kHz to 60 kHz. From the experimental results, an acoustic detection system which consists of a constant current power supply (CCP), a low noise amplifier (LNA) and a band pass filter was designed and fabricated. The CCP separates the signal component from the DC source of acoustic sensor, and the LNA has a gain of 40 dB in ranges of 280 Hz~320 kHz. The high and the low cut-off frequency are 30 kHz and 60 kHz, respectively. We could detect corona and series-arc discharges without any interference by the acoustic detection system, and the best frequency is considered in ranges of 30 kHz~60 kHz.