• Journal of Astronomy and Space Sciences
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• 제36권2호
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• pp.97-103
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• 2019

An automated signal-acquisition method for the NASA's space geodesy satellite laser ranging (SGSLR) system is described as a selection of two system parameters with specified probabilities. These parameters are the correlation parameter: the minimum received pulse number for a signal-acquisition and the frame time: the minimum time for the correlation parameter. The probabilities specified are the signal-detection and false-acquisition probabilities to distinguish signals from background noise. The steps of parameter selection are finding the minimum set of values by fitting a curve and performing a graph-domain approximation. However, this selection method is inefficient, not only because of repetition of the entire process if any performance values change, such as the signal and noise count rate, but also because this method is dependent upon system specifications and environmental conditions. Moreover, computation is complicated and graph-domain approximation can introduce inaccuracy. In this study, a new method is proposed to select the parameters via a conditional equation derived from characteristics of the signal-detection and false-acquisition probabilities. The results show that this method yields better efficiency and robustness against changing performance values with simplicity and accuracy and can be easily applied to other satellite laser ranging (SLR) systems.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.829-833
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• 1992

This paper presents the design of an automated EEG analyzing system. The design considerations including processing speed, A/D conversion, filtering, and waveforms detection, are overviewed with the description of the associated EEG characteristics. The architecture of the currently implemented system consists of a p-controller based front-end signal processing unit and a host computer system. The data acquisition procedures are described along with a couple of illustrations of the acquired EEG/EOG signal.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.293-295
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• 1992

This Paper presents the design of an automated EEG analyzing system. The design considerations including processing speed, A/D conversion, filtering, and waveforms detection, are overviewed with the description of the associated EEG charateristics. The architecture of the currently implemented system consists of a -controller based front-end signal processing unit and a host computer system. The data acquisition procedures are described along with a couple of illustrations of the acquired EEG/EOG signal.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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• pp.24-26
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• 2005

At present, KS-1000 which is one of a commercial measurement instrument for motor fault diagnosis has been used in industrial field. The measurement system of KS-1000 is composed of three part : harmonic acquisition, signal processing by KS-1000 algorithm, diagnosis for motor fault. First of all, voltage signal taken from harmonic sensor is analysed for frequency by KS-1000 algorithm. Then, based on the result values of analysis skilled expert makes a judgment about whether motor system is the abnormality or degradation state. But the expert system such a motor fault diagnosis is very difficult to bring the expectable results by mathematical modeling due to the complexity of judgment process. In this reason, we propose an automation system using fuzzy model based on genetic algorithm(GA) that builded a qualitative model of a system without priori knowledge about a system provided numerical input output data.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.41-43
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• 2022

최근 코로나-19의 유행에 따른 전염병 예방 및 차단을 위해 비접촉 생체 정보 취득 및 분석 기술이 주목을 받고 있다. 습식 및 부착형 생체정보 취득 방법은 정확하게 생체정보를 측정 할 수 있는 장점이 있지 만 밀 접촉에 따른 전염이 높아지는 위험성을 내포하고 있다. 이러한 문제점을 해결하기 위해 사람의 지문, 얼굴, 홍채, 정맥, 음성, 서명 등의 생체 정보를 자동화된 장치로 추출하는 비접촉 방식은 빅데이터와 AI 기술 적용으로 데이터 처리 속도가 빨라지고 인식 정확도가 높아지면서 다양한 산업에서 활용이 증가하고 있다. 그러나, 비접촉식 생체 데이터 취득 기술의 정확도가 개선되었지만, 비접촉 방법은 측정 대상 객체를 둘러싸고 있는 외부 온도, 습도, 조도 등의 주위 환경에 많은 영향을 받아 측정정보가 왜곡되는 현상이 발생하고 또한 정확도가 떨어지는 단점이 있다. 본 논문에서는 생체정보 분석을 위한 개인화 정보(이미지, 신호 등)의 해석을 위한 맥락기반 생체신호 모델링 기법을 제안 한다. 맥락기반 생체정보 모델링 기법은 성능 개선을 위해 생체정보 측정의 정황 정보와 사용자 정보를 복합적으로 고려하는 모델을 제시한다. 제안 모델은 예측 값 확률을 최대화할 수 있는 맥락기반 신호 해석을 통한 특징 확률분포를 기반으로 신호 정보를 분석한다.

• Nuclear Engineering and Technology
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• 제51권7호
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• pp.1784-1790
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• 2019

Accurate and consistent characterization of defects in steam generator tubes (SGT) in nuclear power plants is one of the key issues in the field of nondestructive testing since the large number of signals to be analyzed in a time-limited in-service inspection causes a serious problem in practice. This paper presents an effective approach to this difficult task of automated classification of motorized rotating pancake coil (MRPC) eddy current flaw acquired from tube specimens with deliberated defects using deep neural networks (DNN). This approach consists of five steps, namely, the data acquisition using the MRPC probe in the tube, the signal preprocessing to make data more suitable for training DNN, the data augmentation for boosting a training performance, the training of DNN, and finally demonstration of the trained DNN for discriminating the axial and circumferential defects. The high performance obtained in this study shows that DNN is useful for classification of defects in tubes from the MRPC eddy current signals even though the number of signals is very large.

• 한국콘텐츠학회논문지
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• 제19권11호
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• pp.445-450
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• 2019

본 연구는 자기공명영상 동적검사 시 자동주입기의 사용에 따라 조영제 역류로 인한 생리식염수의 오염 현상을 실험적으로 증명함으로써, 오염된 실린지 재사용 문제의 심각성을 인식시키고자 하였다. 연구방법은 조영제 주입 전 생리식염수와 주입 후 생리식염수를 각각 채취한 다음, T1 강조영상을 획득하여 신호강도를 측정하여 비교하였다. 생리식염수의 주입 후 신호강도가 주입 전에 비해 523.43% 통계적으로 높게 나타났다(p<0.05). 이는 조영제 주입에 따른 압력에 의해 조영제가 관을 통해 역류하여 압력이 낮은 반대쪽 생리식염수를 오염시킨 것으로 분석되었다. 결론적으로 조영제 주입 시 사용하는 실린지는 조영제 역류로 인해 교차오염이 발생하므로 정량적 분석을 위한 검사 시 동일한 환자의 검사라도 검사순서를 변경하거나 실린지를 교체하여 오류를 방지해야 한다.

• 한국압력기기공학회 논문집
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• 제6권1호
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• pp.37-42
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• 2010

The stay cylinder weld at the steam generator of Korean Standard Nuclear Power Plants is safety class I component and is subjected to be inspected by the volumetric examination such as ultrasonic method. As accessibility of this area is limited due to the narrow space and high radiation, the existing manual inspection method involves various difficulties. Moreover operators may be exposed to internal contamination by contaminated dust during the surface buffing process to improve the inspection reliability of this area. Recently the new automatic inspection system for stay cylinder welds has been developed. The inspection system basically consists of a driving assembly, data acquisition device and signal processing units. The driving assembly is classified by 1) the scanner for inspecting and buffing the weld, 2) pillars for guiding the scanner and 3) the base frame for loading and supporting pillars. The scanner has 4 sensor modules to inspect in 4 refracted angles and 4 incident directions. These components can be inserted into the skirt of the stay cylinder through the manway hole and assembled easily by one-touch in the skirt. Data acquisition device and signal processing units developed in previous works are also newly upgraded for better processing of data analysis and evaluation. The system has been successfully demonstrated not only in the mock-up but also in the field. In this paper, newly developed inspection system for the stay cylinder weld of the steam generator is introduced and their field applications are discussed.

• 비파괴검사학회지
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• 제29권2호
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• pp.145-152
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• 2009

국내 원전 가동중검사 기술은 대부분이 선진국에서 도입한 비파괴검사 장비를 진단현장에 적용하는 운영기술로 지금까지 선진 운영 기술의 습득에 중점을 두어, 검사 시스템 하드웨어 및 소프트웨어의 국내 제작 기술은 매우 미흡하였다. 때문에 국산 고유모델의 원전 가동중검사용 진단장치 개발의 필요성이 끊임없이 제기되었다. 본 연구에서는, 원전 배관 자동 초음파검사 시스템의 핵심 기술인 고성능 다채널 초음파 펄서/리시버와 A/D converter 보드, 디지털 제어보드를 개발하고 그 성능을 검증하였다. 검증 실험 결과는 개발된 시스템이 설계 목적에 부합하는 성능을 보이는 것으로 확인되었다.

• Journal of Biosystems Engineering
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• 제33권3호
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• pp.186-195
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• 2008

In this paper, a prototype tele-operative system with a mobile base was developed in order to automate cultivation of house melon. A man-machine interactive hybrid decision-making system via tele-operative task interface was proposed to overcome limitations of computer image recognition. Identifying house melon including position data from the field image was critical to automate cultivation. And it was not simple especially when melon is covered partly by leaves and stems. The developed system was composed of 5 major modules: (a) main remote monitoring and task control module, (b) wireless remote image acquisition and data transmission module, (c) three-wheel mobile base mounted with a 4 dof articulated type robot manipulator (d) exchangeable modular type end tools, and (e) melon storage module. The system was operated through the graphic user interface using touch screen monitor and wireless data communication among operator, computer, and machine. Once task was selected from the task control and monitoring module, the analog signal of the color image of the field was captured and transmitted to the host computer using R.F. module by wireless. A sequence of algorithms to identify location and size of a melon was performed based on the local image processing. Laboratory experiment showed the developed prototype system showed the practical feasibility of automating various cultivating tasks of house melon.