• Smart Structures and Systems
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• 제14권5호
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• pp.831-845
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• 2014

This paper proposed a discrete wavelet transform based method for time-varying physical parameter identification of shear type structures. The time-varying physical parameters are dispersed and expanded at multi-scale as profile and detail signal using discrete wavelet basis. To reduce the number of unknown quantity, the wavelet coefficients that reflect the detail signal are ignored by setting as zero value. Consequently, the time-varying parameter can be approximately estimated only using the scale coefficients that reflect the profile signal, and the identification task is transformed to an equivalent time-invariant scale coefficient estimation. The time-invariant scale coefficients can be simply estimated using regular least-squares methods, and then the original time-varying physical parameters can be reconstructed by using the identified time-invariant scale coefficients. To reduce the influence of the ill-posed problem of equation resolving caused by noise, the Tikhonov regularization method instead of regular least-squares method is used in the paper to estimate the scale coefficients. A two-story shear type frame structure with time-varying stiffness and damping are simulated to validate the effectiveness and accuracy of the proposed method. It is demonstrated that the identified time-varying stiffness is with a good accuracy, while the identified damping is sensitive to noise.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2002년도 하계학술대회 논문집 Vol.3 No.2
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• pp.894-899
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• 2002

In this papers, we proposed the new method in order to diagnosis partial discharge type of transformers. For wavelet transform, Daubechies filter is used, we can obtain wavelet coefficients which is used to extract feature of statistical parameters (maximum value, average value, dispersion, skewness, kurtosis) about high frequency current signal per 3-electrode type (needle-plane electrode, IEC electrode and Void electrode.). Also. these coefficients are used to identify Signal of internal partial discharge in transformer. As a result. from compare of high frequency current signal amplitude and average value. we are obtained results of IEC electrode> Void electrode> Needle-Plane electrode. otherwise. In case of skewness and kurtosis, we are obtained results of Void electrode> IEC electrode > Needle-Plane electrode. As Improved method in order to diagnosis partial discharge type of transformers, we use neural network.

• 정보학연구
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• 제6권1호
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• pp.65-70
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• 2003

본 논문에서 우리는 변압기의 부분방전형태를 진단하기위하여 새로운 방법을 제시하였다. 웨이블렛 변화을 위하여, 다우비치 필터가 사용되어졌다. 우리는 3개의 전극 종류(침대평판자극, IEC전극, 보이드 전극)마다 고주파 전류신호에 관한 통계적인 특징 파라메터(최대값, 평균값, 분산, 왜도, 첨쇄도)를 추출하기위하여 사용하였다. 역시 이들 계수들은 변압기내 내부부분방전의 신호의 정체를 알기위하여 사용되어졌다. 그 결과로서 고주파전류신호의 진폭과 평균값의 비교로부터 우리는 IEC electrode> Void electrode> Needle-Plane electrode의 결과를 얻었다. 반면에 왜도와 첨쇄도의 경우, 우리는 Void electrode> IEC electrode> Needle-Plane electrode을 얻었다.

• 한국ITS학회 논문지
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• 제12권3호
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• pp.1-10
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• 2013

지금 사용되는 제어기의 제어방식은 220V 고전압을 일대 일로 직접 신호등에 전달하는 스위치방식이다. 이 방식은 감전위험, 누설전류, 보행공간 침해, 미관 저하 등 많은 단점이 있다. 이에 따라 교통신호기의 제어방식이 디지털로 전환되는 노력이 이루어지고 있으며, 신호등과 신호기와의 디지털 통신 체계가 그 핵심으로 부상하고 있다. 본 논문은 이러한 디지털방식의 신호제어를 위해 필요한 통신체계를 개발하고자 하였다. 이를 위해 먼저 신호등을 포함한 다양한 신호기 주변장치와 특별한 메시지에 대하여 CAN 식별자(ID)를 할당하였다. 또한 이 할당된 식별자(ID)기반으로 신호등에 대한 제어정보를 전달하고 제어상태 피드백을 수집하는 CAN 기반 신호제어 프로토콜을 구성하였다. 이 통신체계의 검증을 위해 소프트웨어 모의실험시스템을 제작하여 신호제어에 활용 가능함을 검증하였다.

• Journal of Positioning, Navigation, and Timing
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• 제11권3호
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• pp.163-172
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• 2022

Typical anti-jamming technologies based on array antennas, Space Time Adaptive Process (STAP) & Space Frequency Adaptive Process (SFAP), are very effective algorithms to perform nulling and beamforming. However, it does not perform equally well for all types of jamming signals. If the anti-jamming algorithm is not optimized for each signal type, anti-jamming performance deteriorates and the operation stability of the system become worse by unnecessary computation. Therefore, jamming classification technique is required to obtain optimal anti-jamming performance. Machine learning, which has recently been in the spotlight, can be considered to classify jamming signal. In general, performing supervised learning for classification requires a huge amount of data and new learning for unfamiliar signal. In the case of jamming signal classification, it is difficult to obtain large amount of data because outdoor jamming signal reception environment is difficult to configure and the signal type of attacker is unknown. Therefore, this paper proposes few-shot jamming signal classification technique using meta-learning and transfer-learning to train the model using a small amount of data. A training dataset is constructed by anti-jamming algorithm input data within the GNSS receiver when jamming signals are applied. For meta-learning, Model-Agnostic Meta-Learning (MAML) algorithm with a general Convolution Neural Networks (CNN) model is used, and the same CNN model is used for transfer-learning. They are trained through episodic training using training datasets on developed our Python-based simulator. The results show both algorithms can be trained with less data and immediately respond to new signal types. Also, the performances of two algorithms are compared to determine which algorithm is more suitable for classifying jamming signals.

• 전자공학회논문지
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• 제51권8호
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• pp.38-48
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• 2014

본 논문은 Piezo Resistive Type(PRT) 압력 센서용 신호 처리 아날로그 전단부 IC 설계를 주제로 한다. 센서의 출력 전압을 개선을 하기 위해 센서의 전류를 보상하는 Gauge Factor Calibration 회로, 같은 센서와의 오차가 있더라도 적용이 가능하도록 설계한 Programmable Gain Amplifier (PGA), 클록 생성기에서 발생하는 EMI를 감소시키기 위한 확산 스펙트럼 클록 생성기, 압력 센서의 분해능을 향상시키기 위한 10Bit ADC와 14Bit DAC 그리고 기존 아날로그 방식으로 처리하던 방식과는 달리 디지털 신호처리 방식을 이용한 Calibration Microcontroller (CMC)를 설계하였다. $0.35{\mu}m$ CMOS Process를 이용하여 설계 하였으며, 설계된 IC의 공급 전압은 5V와 3.3V의 전원 분리를 통하여 아날로그 회로는 5V를 사용하고 디지털 회로는 LDO로부터 3.3V를 공급 받도록 구성하였다. Gauge Factor Calibration 회로는 3.75uA부터 120uA까지 보상이 가능하며 PGA는 30dB부터 45dB까지 제어가 가능하고 확산 스펙트럼 클록 생성기는 2.13dB에서 -5.94dB로의 EMI를 감소시킬 수 있다. 공급전압에 대한 ASIC 보호 회로는 800mV부터 6.4V를 제외한 나머지 전압은 차단이 가능하고 14Bit DAC는 0.305mV의 해상도를 가지고 있다. 총 전류 5.32mA를 소모하고 있으며, Die 크기는 $1.94mm{\times}1.94mm$의 면적을 갖는다.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2005년도 추계학술대회 논문집
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• pp.302-305
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• 2005

Recently, many methods to analyze signal have been proposed and representative methods are the Fourier transform and wavelet transform. In these methods, the Fourier transform represents signal with combination cosine and sine at all locations in the frequency domain. However, it doesn't provide time information that particular frequency occurs in signal and denpends on only the global feature of the signal. So, to improve these points the wavelet transform which is capable of multiresolution analysis has been applied to many fields such as speech processing, image processing and computer vision. And the wavelet transform, which uses changing window according to scale parameter, presents time-frequency localization. In this paper, we proposed a new approach using a wavelet of cosine and sine type and analyzed features of signal in a limited point of frequency-time plane.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1013-1016
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• 1993

This paper describes a new type of neuron model, the inputs of which are interfered with one another. It has a high mapping ability with only single unit. The learning speed is considerably improved compared with the conventional linear type neural networks. The proposed neuron model was successfully applied to the prediction problem of chaotic time series signal.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2265-2267
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• 1998

This paper deals with study of Fast Speaker Adaptation Type Speech Recognition, and to analyze speech signal efficiently in time domain and time-frequency domain, utilizes SCONN[1] with Speech Signal Process suffices for Fast Speaker Adaptation Type Speech Recognition, and examined Speech Recognition to investigate adaptation of system, which has speech data input after speaker dependent recognition test.

• Journal of Power Electronics
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• 제12권2호
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• pp.317-325
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• 2012

Resonant immittance converter (RIC) topologies can transform a current source into a voltage source (Type-I RICs) and vice versa (Type-II RICs), thereby making them suitable for many power electronics applications. RICs are operated at a fixed frequency where the resonant immittance network (RIN) exhibits immittance conversion characteristics. It is observed that the low-frequency response of Type-II RINs is relatively flat and that the state variables associated with Type-II RINs affect the response only at the high frequencies in the vicinity of the switching frequency. The overall response of a Type-II RIC is thus dominated by the filter response, which is particularly important for the controller design. Therefore, an approximate equivalent circuit model and a small-signal model of Type-II RICs are proposed in this paper, neglecting the high-frequency response of Type-II RINs. While the proposed models greatly simplify and speed-up the analysis, it adequately predicts the open-loop transient and small-signal ac behavior of Type-II RICs. The validity of the proposed models is confirmed by comparisons of their results with those obtained from a cycle-by-cycle simulation and with an experimental prototype.