• 제목/요약/키워드: signals

검색결과 13,327건 처리시간 0.037초

ICA로 분리한 신호의 분류 (Classification of Signals Segregated using ICA)

  • 김선일
    • 전자공학회논문지 IE
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    • 제47권4호
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    • pp.10-17
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    • 2010
  • ICA(Independent Component Analysis)를 이용하여 신호를 분리했을 때 그 중 어느 것이 원하는 신호인지 알아낼 수 있는 일반적인 방법이 없다. 본 논문에서는 자동차 배기음에 오염된 음성 신호를 가정하고 이를 ICA를 이용해 분리했을 때 분리된 신호에서 어느 것이 배기음이고 음성 신호인지 구별할 수 있는 방법을 제시하였다. 음성 신호는 음성 선호와의 상관계수가 가장 크게 나타날 것으로 예상되므로 오염된 음성 선호와 같은 동일인의 단모음 '아', '오', '우' 신호와 타인의 단모음 선호를 이용하여 분리된 각 신호와의 상관계수를 구하되 일괄 방식, 최대값 방식, 평균값 방식 등 세가지 방식으로 구하고 각 방식마다 '아', '오', '우'와의 상관 계수로 구분하고 이외에 투표 방법, 합산 방법을 추가한 다섯 가지 방법을 시도하여 가정 좋은 분류율을 나타내는 방식 및 방법을 제시하였다.

RF모듈을 이용한 자동차 ECU 센서신호의 원격계측 (Remote Measurement for Automobile′s ECU Sensor Signals Using RF modules)

  • 이성철;서지원;권대규;방두열
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.1067-1070
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    • 2003
  • In this paper, we present a remote measurement system for the wireless monitoring of ECU Sensor Signals of vehicle. In order to measure the ECU sensor signals, the interface circuit is designed to communicate ECU and designed terminal wirelessly according to the ISO, SAE regulation of communication protocol standard. A micro-controller 80C196KC is used for communicating ECU sensor signals. ECU sensor signals are transmitted to the RF-wireless terminal that was developed using the micro controller 80386EX. LCD, and RF-module. 80386EX software is programmed to monitor the ECU sensor signals using the Borland C++ compiler in which the half duplex method was used for the RS232 communication. The algorithms for measuring the ECU sensor signals are verified to monitor ECU state. At the same time, the information to fix the vehicle's problem can be shown on the developed monitoring software. The possibility for remote measurement of ECU sensor signals using 80386EX is also verified through the developed systems and algorithms.

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Investigation of Degradative Signals on Outdoor Solid Insulators Using Continuous Wavelet Transform

  • Uzunoglu, Cengiz Polat
    • Journal of Electrical Engineering and Technology
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    • 제11권3호
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    • pp.683-689
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    • 2016
  • Most outdoor solid insulators may suffer from surface degradations due to non-stationary currents that flow on the insulator surface. These currents may be classified as leakage, discharge and tracking currents due to their disturbing potencies respectively. The magnitude of these currents depends on the degree of the contamination of surface. The leakage signals are followed by discharge signals and tracking signals which are capable of forming carbonized tracking paths on the surface between high voltage and earth contacts (surface tracking). Surface tracking is one of the most breakdown mechanisms observed on the solid insulators, especially polymers which may cause severely reduced lifetime. In this study the degradations observed on polyester resin based insulators are investigated according to the IEC 587 Inclined Plane Test Standard. The signals are monitored and recorded during tests until surface tracking initiated. In order to prevent total breakdown of an insulator, early detection of tracking signals is vital. Continuous Wavelet Transform (CWT) is proposed for classification of signals and their energy levels observed on the surface. The application of CWT for processing and classification of the surface signals which are prone to display high frequency oscillations can facilitate real time monitoring of the system for diagnosis.

ECU HILS를 이용한 실차 주행 조건에서의 인젝터 평가시스템 (Evaluating System for Fuel Injector with the Condition of a Driving Vehicle Mode Using an ECU HILS)

  • 이충훈
    • 한국생산제조학회지
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    • 제19권6호
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    • pp.812-828
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    • 2010
  • A fuel injection system using an ECU HILS as an alternate to a vehicle test for the fuel injectors was developed. The throttle position, vehicle speed, engine speed, crank position, cam position, intake air flow, and several other sensor signals that are supplied to the ECU were measured and recorded as a data file for a vehicle driven in the FTP-75 mode in a chassis dynamometer. Electric signals that are equivalent to the sensor signals from the vehicle are reconstructed from the recorded data file using data acquisition boards, microprocessors, and computers. All sensor signals are supplied to the ECU with synchronized timing using a computer program. The findings show that the cost and time of vehicle experiments can be reduced using the ECU HILS system. Moreover, the repeatability of the generation of sensor signals can enhance the accuracy of a range of experiment related to vehicle testing. An ECU scanner that scans the sensor signals that are input to the ECU through a serial port was used to assess the accuracy of the reconstructed signals. The scanning results show good agreement with the reconstructed input signals. Injectors were connected to the ECU HILS system and were driven by the system to measure the quantity of injected fuel.

UWB 대역에서 Multiple Chirp 을 이용한 새로운 시그널링 방법 (A Novel Signaling Method using Multiple Chirps in UWB Radio)

  • 김영삼;윤상훈;정정화;이경국
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.127-128
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    • 2006
  • In this paper, we propose a novel signaling method using chirp signals in UWB radio with satisfaction of FCC regulation. Chirp signals have been used in many ranging systems such as radar because of its good correlation properties. Because it is important to use broader signal bandwidth in order to get higher precision of the ranging, according to the Cramer-Rao Lower Bound, UWB radio is extremely good as the ranging systems. But, it is very difficult to apply existing chirp signals to UWB, because FCC regulates that the systems operating in UWB radio must occupy signal bandwidth more than 500MHz on the condition of stopping the frequency sweeping. So, we propose multiple chirp signals which can satisfy the regulation of FCC while maintaining chirp signal's properties. The multiple chirp signals which are composed of the sub-chirps modulated by sub-carriers can expand the signal bandwidth with the same principle of OFDM systems. The simulation results show that the BER performance of the proposed multiple chirp signals is identical to that of conventional OFDM when it is applied to data communication, and that the correlation properties of the proposed signals are almost the same with properties as those of single chirp signals whose sweeping bandwidth is the same value with the proposed one.

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국내의 LED 교통신호등의 기술현황 분석연구 (Technical Status of LED Traffic Signals made in Korea)

  • 정학근;정봉만;한수빈;박석인;김규덕;유승원
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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    • pp.171-174
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    • 2004
  • Concerning Korean energy consumption, 20% of the total electrical energy (96% is now exported) is consumed in lighting area. Accordingly, it is one of the most important governmental policies to efficiently utilize electricity due to development and application of high-efficiency lighting equipment. In Korea, widely-built traffic signals employ an incandescent and are of 100W/300 mm, and 280,080set/801,932lamps have been installed and operated by 1999. Of them, 58%(161,181set), 25%(69,655set) and 18%(49,244set) correspond to traffic signals, pedestrian signals and other supplementary signals respectively. It was estimated that electrical energy consumed 28MW instantaneously, 245GWH annually. On the other hand, the LED traffic signal is expected to be a future traffic signal since if traffic signals are replaced by LEDs, energy saving effect of 85% and drop of 75% in maintenance fee will be obtained. In this paper, the performance and characteristics of many LED traffic signals made in Korea are summarized in order to reform Korean standard of LED traffic signals.

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Comparison of artificial intelligence models reconstructing missing wind signals in deep-cutting gorges

  • Zhen Wang;Jinsong Zhu;Ziyue Lu;Zhitian Zhang
    • Wind and Structures
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    • 제38권1호
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    • pp.75-91
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    • 2024
  • Reliable wind signal reconstruction can be beneficial to the operational safety of long-span bridges. Non-Gaussian characteristics of wind signals make the reconstruction process challenging. In this paper, non-Gaussian wind signals are converted into a combined prediction of two kinds of features, actual wind speeds and wind angles of attack. First, two decomposition techniques, empirical mode decomposition (EMD) and variational mode decomposition (VMD), are introduced to decompose wind signals into intrinsic mode functions (IMFs) to reduce the randomness of wind signals. Their principles and applicability are also discussed. Then, four artificial intelligence (AI) algorithms are utilized for wind signal reconstruction by combining the particle swarm optimization (PSO) algorithm with back propagation neural network (BPNN), support vector regression (SVR), long short-term memory (LSTM) and bidirectional long short-term memory (Bi-LSTM), respectively. Measured wind signals from a bridge site in a deep-cutting gorge are taken as experimental subjects. The results showed that the reconstruction error of high-frequency components of EMD is too large. On the contrary, VMD fully extracts the multiscale rules of the signal, reduces the component complexity. The combination of VMD-PSO-Bi-LSTM is demonstrated to be the most effective among all hybrid models.

용접부 초음파 사각 탐상에서 디컨볼루션을 이용한 균열신호와 기하학적 반사신호의 식별 (Identification of Flaw Signals Using Deconvolution in Angle Beam Ultrasonic Testing of Welded Joints)

  • 송성진;김준영;김영환
    • 비파괴검사학회지
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    • 제22권4호
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    • pp.422-429
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    • 2002
  • 용접부 초음파 사각탐상은 용접 루트부나 counter bore와 같은 결함과 관련 없는 신호를 발생하는 기하학적 반사체로 인하여 신호의 식별이 매우 어렵다. 본 논문에서는 이와 같은 상황에서 결함 신호를 식별하는 새로운 기법을 제안하였다. 디컨볼루션(deconvolution)을 사용한 유사성함수의 개념을 도입한 새로운 기법에서는 먼저 결합과 기하학적 반사체에 대하여 기준신호와 대상신호를 획득하였으며 이들을 정규화 하였다. 대상신호를 기준신호로 디컨볼루션하여 얻은 유사성함수의 패턴으로부터 기하학적 반사 신호와 결함신호를 구분할 수 있었다. 그 결과로, 제안하고 있는 기법이 기하학적 반사체와 노치 모서리부에서 반사되는 신호를 분리하는데에 유용함을 알 수 있었다.

베이즈 분류기를 이용한 수중 배경소음하의 과도신호 분류 (Classification of Transient Signals in Ocean Background Noise Using Bayesian Classifier)

  • 김주호;복태훈;팽동국;배진호;이종현;김성일
    • 한국해양공학회지
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    • 제26권4호
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    • pp.57-63
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    • 2012
  • In this paper, a Bayesian classifier based on PCA (principle component analysis) is proposed to classify underwater transient signals using $16^{th}$ order LPC (linear predictive coding) coefficients as feature vector. The proposed classifier is composed of two steps. The mechanical signals were separated from biological signals in the first step, and then each type of the mechanical signal was recognized in the second step. Three biological transient signals and two mechanical signals were used to conduct experiments. The classification ratios for the feature vectors of biological signals and mechanical signals were 94.75% and 97.23%, respectively, when all 16 order LPC vector were used. In order to determine the effect of underwater noise on the classification performance, underwater ambient noise was added to the test signals and the classification ratio according to SNR (signal-to-noise ratio) was compared by changing dimension of feature vector using PCA. The classification ratios of the biological and mechanical signals under ocean ambient noise at 10dB SNR, were 0.51% and 100% respectively. However, the ratios were changed to 53.07% and 83.14% when the dimension of feature vector was converted to three by applying PCA. For correct, classification, it is required SNR over 10 dB for three dimension feature vector and over 30dB SNR for seven dimension feature vector under ocean ambient noise environment.

초음파 도플러 신호를 이용한 음성 합성 (Speech synthesis using acoustic Doppler signal)

  • 이기승
    • 한국음향학회지
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    • 제35권2호
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    • pp.134-142
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    • 2016
  • 본 논문에서는 40 kHz 초음파 신호를 입 주변에 쏘고, 되돌아오는 초음파 신호를 이용해 음성신호를 합성하는 방법을 소개하고 성능을 평가하였다. 발성하고 있는 입주변에 초음파를 방사하게 되면, 입술, 턱, 뺨 등의 움직임으로 인한 변위로 도플러 현상이 발생하고, 이에 따라 반사 신호에는 본래의 주파수 성분과는 다른 도플러 주파수가 관찰되는데, 본 논문에서는 이러한 도플러 주파수를 이용하여 음성 파라메터를 추정하도록 하였다. 음성합성에 앞서서 초음파 도플러 신호와 음성 신호 간의 상관관계를 각 주파수 별로 분석하였으며, 이로부터 초음파 도플러 신호를 이용한 음성 신호의 합성 가능성을 살펴보았다. 변환에는 초음파 도플러의 정적, 동적 특성을 함께 반영한 특징 변수를 사용하였으며 결합-혼합 가우시안 기법을 이용하여 음성 파라메터로 변환하였다. 5명의 피 실험자를 이용한 음성 합성 실험에서 필터뱅크 에너지 값을 초음파신호의 특징변수로, LPC(Linear Predictive Coefficient) 켑스트럼 계수를 음성 변수로 사용하는 경우 가장 우수한 변환 성능을 나타내었다. 음성신호에서 추출한 여기신호를 이용하여 합성음을 생성하고, 이를 청취하였을 때 72.2 %의 평균 인식율이 얻어짐을 확인할 수 있었다.