• Journal of the Korean Society for Aviation and Aeronautics
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• v.18 no.4
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• pp.16-20
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• 2010

The dynamic characteristics of flight sensors is obtained by a simple method that deploys a pendulum with a rotary encoder. The encoder output is used with kinematic relations to derive reference signals for various flight sensors, including position, velocity, attitude, and angular rate sensors as well as accelerometer and magnetic sensors. A time delay of 0.4 seconds is found in the position output of the flight sensor under investigation. A logic to compensate for the time delay using a velocity information is proposed and validated in flight tests.

• Journal of Aerospace System Engineering
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• v.15 no.3
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• pp.99-104
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• 2021

The characteristics of wind sensors were experimentally analyzed and compared for purposes of application in multicopter type drones. For rotating wind sensors, the dynamics effect causes measurement errors, while manufacturing errors and signal processing errors were found to constitute significant errors in ultrasonic sensors. In the ultrasonic sensor, the errors decrease as the distance of the transducer increases. These characteristics were experimentally confirmed, and it was established that ultrasonic sensors capable of outputting voltage or data of 10 Hz or more are suitable for use in multicopters.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.3
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• pp.155-163
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• 2023

Real-time monitoring technology is critical for ensuring the safety and reliability of nuclear power plant structures. However, the current seismic monitoring system has limited system identification capabilities such as modal parameter estimation. To obtain global behavior data and dynamic characteristics, multiple sensors must be optimally placed. Although several studies on optimal sensor placement have been conducted, they have primarily focused on civil and mechanical structures. Nuclear power plant structures require robust signals, even at low signal-to-noise ratios, and the robustness of each mode must be assessed separately. This is because the mode contributions of nuclear power plant containment buildings are concentrated in low-order modes. Therefore, this study proposes an optimal sensor placement methodology that can evaluate robustness against noise and the effects of each mode. Indicators, such as auto modal assurance criterion (MAC), cross MAC, and mode shape distribution by node were analyzed, and the suitability of the methodology was verified through numerical analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1502-1505
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• 2015

디지털 처리 기술이 발전함에 따라 멀티미디어 장치 및 소프트웨어의 활용도가 증가하고 있다. 특히 이들 장치 및 소프트웨어는 저비용으로 고품질 및 고성능을 갖는 형태로 발전하고 있다. 그러나 본래의 의도와 다르게 불법적인 목적으로 디지털 획득 장치를 이용하는 범죄가 증가하고 있으며, 본 연구팀에서는 이를 차단하기 위하여 센서 패턴 노이즈를 이용한 디지털 영상 획득 장치 판별 기술을 연구해오고 있다. 최근 다양한 범죄에 있어서 동영상이 증거 자료로 활용되고 있으며, 본 논문에서는 동영상에 적용이 가능한 디지털 영상 획득 장치 기술을 연구하는데 있어서 동영상이 갖고 있는 프레임별 특성에 따른 판별 성능에 대하여 실험하고 분석하였다. 실시간으로 촬영한 동영상의 경우 B 프레임이 포함되지 않아, I 프레임과 P 프레임, 그리고 두 프레임을 함께 사용하여 각각에 대한 판별 성능에 대한 비교를 수행하였다. 그 결과 I 프레임과 P 프레임의 차이에 의한 성능의 차이는 있었으나, 장치 판별에 대한 영향은 충분히 무시할 수 있음을 확인할 수 있었다.

• Electronics and Telecommunications Trends
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• v.23 no.4
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• pp.72-79
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• 2008

다수의 센서 노드들이 무선 네트워크로 구성된 센서 네트워크상에서 전송되는 정보를 안전하게 보호하기 위한 방법은 내부적으로 센서 노드의 보안 기능을 추가하는 것 뿐만 아니라 전체 네트워크를 보호하기 위한 계층적인 보안 요구사항을 만족하여야 한다. 이에 본 고에서는 센서 네트워크의 보안 요구사항을 분석하고, 관련 암호 알고리듬과 네트워크 프로토콜, 그리고 표준화 동향을 살펴본 후 센서 네트워크의 특성을 고려한 안전한 정보보호기술을 소개한다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.4
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• pp.183-189
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• 2021

In recent years, active research has been devoted toward developing a monitoring system using ambient vibration data in order to quantitatively determine the deterioration occurring in a structure over a long period of time. This study developed a low-cost edge computing system that detects the abnormalities in structures by utilizing the dynamic characteristics acquired from the structure over the long term for ensemble learning. The system hardware consists of the Raspberry Pi, an accelerometer, an inclinometer, a GPS RTK module, and a LoRa communication module. The structural abnormality detection afforded by the ensemble learning using dynamic characteristics is verified using a laboratory-scale structure model vibration experiment. A real-time distributed processing algorithm with dynamic feature extraction based on the experiment is installed on the Raspberry Pi. Based on the stable operation of installed systems at the Community Service Center, Pohang-si, Korea, the validity of the developed system was verified on-site.

• Proceedings of the KSME Conference
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• 2005.11a
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• pp.133.2-133.2
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• 2005

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.359-365
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• 2023

In order to satisfy the requirements of dynamic X-ray imaging with high frame rate and low image lag, minimizing parasitic capacitance in photodiode and overlapped electrodes in pixels is critically required. This study presents duoPIX^TM dynamic X-ray imaging sensor composing of readout thin film transistor, reset thin film transistor and photodiode in a pixel. Furthermore, dynamic X-ray detector using duoPIX^TM imaging sensor was manufactured and evaluated its X-ray imaging performances such as frame rate, sensitivity, noise, MTF and image lag. duoPIX^TM dynamic X-ray detector has 150 × 150 mm² imaging area, 73 um pixel pitch, 2048 × 2048 matrix resolution(4.2M pixels) and maximum 50 frames per second. By means of comparison with conventional dynamic X-ray detector, duoPIX^TM dynamic X-ray detector showed overall better performances than conventional dynamic X-ray detector as shown in the previous study.

• Korean Chemical Engineering Research
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• v.45 no.1
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• pp.87-92
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• 2007

Recently, developments of process monitoring system in order to detect and diagnose process abnormalities has got the spotlight in process systems engineering. Normal data obtained from processes provide available information of process characteristics to be used for modeling, monitoring, and control. Since modern chemical and environmental processes have high dimensionality, strong correlation, severe dynamics and nonlinearity, it is not easy to analyze a process through model-based approach. To overcome limitations of model-based approach, lots of system engineers and academic researchers have focused on statistical approach combined with multivariable analysis such as principal component analysis (PCA), partial least squares (PLS), and so on. Several multivariate analysis methods have been modified to apply it to a chemical process with specific characteristics such as dynamics, nonlinearity, and so on.This paper discusses about missing value estimation and sensor fault identification based on process variable reconstruction using dynamic PCA and canonical variate analysis.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1739-1740
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• 2008

수문관측용으로 사용되는 우설량계는 측정의 편의성과 강인성의 장점 때문에 대부분 전도형 우설량계를 사용하고 있으며, 하절기에는 강우량을 측정하고 동절기에는 강설량을 측정할 수 있도록 구성되어 있다. 동절기에 강설량을 측정하기 위하여 자동 히팅하는 장치가 포함되어 있어, 눈이 생성될 수 있는 온도조건에서 히터가 작동되고 적정온도가 되면 히터의 동작을 멈출 수 있도록 히터 및 온도센서가 구성되어 있다. 우설량계의 유지.관리 측면에서 주기적으로 동작상태 등을 점검하고 있으며, 히팅장치도 점검의 대상이다. 그러나 히팅장치의 동작 유무를 판단하는 방법에 있어서 효율적인 방법을 사용하고 있지 않고 있다. 따라서 본 연구에서는 평상시에 우설량계 점검시 온도센서에 의해 감지되는 가변적인 온도신호에 따라 히터가 제대로 작동되는지의 여부를 판단하기 위하여, 사전에 점검하기 용이하도록 우설량계 히터 동작시험 장치를 개발하였으며, 이 장치에 대한 동작특성을 분석하고자 한다.