• Title/Summary/Keyword: 주기 신호 데이터

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Personal Recognition Method using Coupling Image of ECG Signal (심전도 신호의 커플링 이미지를 이용한 개인 인식 방법)

  • Kim, Jin Su;Kim, Sung Huck;Pan, Sung Bum
    • Smart Media Journal
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    • v.8 no.3
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    • pp.62-69
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    • 2019
  • Electrocardiogram (ECG) signals cannot be counterfeited and can easily acquire signals from both wrists. In this paper, we propose a method of generating a coupling image using direction information of ECG signals as well as its usage in a personal recognition method. The proposed coupling image is generated by using forward ECG signal and rotated inverse ECG signal based on R-peak, and the generated coupling image shows a unique pattern and brightness. In addition, R-peak data is increased through the ECG signal calculation of the same beat, and it is thus possible to improve the recognition performance of the individual. The generated coupling image extracts characteristics of pattern and brightness by using the proposed convolutional neural network and reduces data size by using multiple pooling layers to improve network speed. The experiment uses public ECG data of 47 people and conducts comparative experiments using five networks with top 5 performance data among the public and the proposed networks. Experimental results show that the recognition performance of the proposed network is the highest with 99.28%, confirming potential of the personal recognition.

Signal Interference Rejection using Data-Recycling LMS Algorithm in Digital Communication System (디지털 통신 시스템에서 데이터-재순환 LMS 알고리즘을 이용한 신호 간섭 제어)

  • 김원균;나상동
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.9A
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    • pp.1329-1338
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    • 1999
  • In this paper, an efficient signal interference control technique to improve the convergence speed of LMS algorithm is introduced. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, are analyzed to prove theoretically the improvement of convergence speed. According as the step-size parameter $\mu$ is increased, the rate of convergence of the algorithm is controlled. Also, a increase in the step-size parameter $\mu$ has the effect of reducing the variation in the experimentally computed learning curve. Increasing the eigenvalue spread has the effect of controlling down the rate of convergence of the adaptive equalizer and also increasing the steady-state value of the mean squared error and also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

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Circuit Design for Digital Random Bit Synchronization (디지틀 랜덤 비트 동기 회로 설계)

  • 오현서;박상영;백창현;이홍섭
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.5
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    • pp.787-795
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    • 1994
  • In this paper, we have proposed a bit synchronization algorithm which extracts the synchronized clock for random NRZ signal and designed a circuit followed by its performance analysis. The synchronization circuit consists of the Data Transition Detector and Mod 64 Counter, Phase Comparison and Controller, 64 Divider. The data input rate and master clock rate are 16 Kbps and 4.096MHz, respectively. The phase is compensated by 1/64 of the data signal period for every data bit. Through a series of experiments, the maximum immunity of phase jiter for input signal and the deviation of the recovered clock are measured 23.8% and 1.6%, respectively. The fully digital synchronization circuit is simple to implement into signal IC chip and also effective for the low speed digital mobile communications.

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Determination of Optimal Traffic Signal Cycle using Neural Network (신경망을 이용한 최적 교통신호주기 결정)

  • 홍유식;박종국
    • Journal of the Korean Institute of Intelligent Systems
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    • v.6 no.3
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    • pp.51-62
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    • 1996
  • Electro sensitive traffic system can not consider passenger car unit, so it causes start up delay time and passenger waiting time. In this paper, it antecedently creates passenger car unit at the bottom intersection using neural network. But, sometimes it can make mistakes due to changes in car weight, car speed, and passing area. Therefore, it consequently reduces the car waiting time and start-up delay time using fuzzy control of feed-back data. Moreover, to prevent spillback, it can adapt control even though upper traffic intersection has a different saturation rate, road length, road slope and road width.

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The Implementation of Inspection Information Tube Happing Program for Nuclear Power Plant Facility (원전 설비 검사정보 세관 Mapping프로그램 구현)

  • 신진호;송재주;이봉재
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.238-240
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    • 2001
  • 원자력발전소에서는 기기, 배관 및 각종 지지구조물 등 설비에 대하여 시간의 경과에 따른 취약화 정도를 측정하기 위하여 대략 15개월을 주기로 호기별 비파괴검사로 감시 및 평가하는 가동중검사를 실시한다. 증기발생기, 주복수기와 같은 세관으로 구성된 설비는 와전류탐상검사를 수행하여 신호데이터를 취득하고 건전성 여부를 평가한 다음 그 결과를 Optical Disk에 신호데이터와 함께 저장한다. 본 논문에서는 저장된 방대한 양의 검사 결과 파일을 추출하여 데이터베이스로 구축하고, 행열 수량, 모양, 방향 및 열번호 부여방법이 상이한 다양한 배열 형태의 세관 Map을 편집하여 사용자 요구에 따라 검사정보를 색상 Tube로 Mapping 처리하여 세관의 상태, 검사이력, 결함성장률 및 변화추이 분석을 시각적으로 파악할 수 프로그램 구현 사례를 소개한다.

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The practical guide for using the R-package in the digital signal processing (신호 처리를 위한 R활용서)

  • Pak, Ro Jin
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.5
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    • pp.1001-1019
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    • 2017
  • The signal processing is a field of the electrical engineering but it is very much related with the time series analysis. Thesedays the commercial softwares are widely used by the reseachers. We have attempted to make a guide for using the R-package in the digital signal processing. It would be good to read the materials in each section first and to follow the plots in the section 8 and to run the attached R-codes. The article consists of (1) Fourier transform and Fourier inverse transform, (2) spectral analysis (3) parametric and non-parametric estimation for the period (4) filter design. Simple theoretical explanations are provided and R implementations are added.

2D ECG Compression Using Optimal Sorting Scheme (정렬과 평균 정규화를 이용한 2D ECG 신호 압축 방법)

  • Lee, Kyu-Bong;Joo, Young-Bok;Han, Chan-Ho;Huh, Kyung-Moo;Park, Kil-Houm
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.46 no.4
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    • pp.23-27
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    • 2009
  • In this paper, we propose an effective compression method for electrocardiogram (ECG) signals. 1-D ECG signals are reconstructed to 2-D ECG data by period and complexity sorting schemes with image compression techniques to increase inter and intra-beat correlation. The proposed method added block division and mean-period normalization techniques on top of conventional 2-D data ECG compression methods. JPEG 2000 is chosen for compression of 2-D ECG data. Standard MIT-BIH arrhythmia database is used for evaluation and experiment. The results show that the proposed method outperforms compared to the most recent literature especially in case of high compression rate.

A Hybrid System of Wavelet Transformations and Neural Networks Using Genetic Algorithms: Applying to Chaotic Financial Markets (유전자알고리즘을 이용한 웨이블릿분석 및 인공신경망기법의 통합모형구축)

  • Shin, Taeksoo;Han, Ingoo
    • Proceedings of the Korea Database Society Conference
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    • 1999.06a
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    • pp.271-280
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    • 1999
  • 인공신경망을 시계열예측에 적용하는 경우에 고려되어야 할 문제중, 특히 모형에 적합한 입력변수의 생성이 중요시되고 있는데, 이러한 분야는 인공신경망의 모형생성과정에서 입력변수에 대한 전처리기법으로써 다양하게 제시되어 왔다. 가장 최근의 입력변수 전처리기법으로써 제시되고 있는 신호처리기법은 전통적 주기분할처리방법인 푸리에변환기법(Fourier transforms)을 비롯하여 이를 확장시킨 개념인 웨이블릿변환기법(wavelet transforms) 등으로 대별될 수 있다. 이는 기본적으로 시계열이 다수의 주기(cycle)들로 구성된 상이한 시계열들의 집합이라는 가정에서 출발하고 있다. 전통적으로 이러한 시계열은 전기 또는 전자공학에서 주파수영역분할, 즉 고주파 및 저주파수를 분할하기 위한 기법에 적용되어 왔다. 그러나, 최근에는 이러한 연구가 다양한 분야에 활발하게 응용되기 시작하였으며, 그 중의 대표적인 예가 바로 경영분야의 재무시계열에 대한 분석이다 전통적으로 재무시계열은 장, 단기의사결정을 가진 시장참여자들간의 거래특성이 시계열에 각기 달리 가격으로 반영되기 때문에 이러한 상이한 집단들의 고유한 거래움직임으로 말미암아 예를 들어, 주식시장이 프랙탈구조를 가지고 있다고 보기도 한다. 이처럼 재무시계열은 다양한 사회현상의 집합체라고 볼 수 있으며, 그만큼 예측모형을 구축하는데 어려움이 따른다. 본 연구는 이러한 시계열의 주기적 특성에 기반을 둔 신호처리분석으로서 기존의 시계열로부터 노이즈를 줄여 주면서 보다 의미 있는 정보로 변환시켜 줄 수 있는 웨이블릿분석 방법론을 새로운 필터링기법으로 사용하여 현재 많은 연구가 진행되고 있는 인공신경망과의 모형결합을 통해 기존연구와는 다른 새로운 통합예측방법론을 제시하고자 한다. 본 연구에서 제시하는 통합방법론은 크게 2단계 과정을 거쳐 예측모형으로 완성이 된다. 즉, 1차 모형단계에서 원시 재무시계열은 먼저 웨이블릿분석을 통해서 노이즈가 필터링 되는 동시에, 과거 재무시계열의 프랙탈 구조, 즉 비선형적인 움직임을 보다 잘 반영시켜 주는 다차원 주기요소를 가지는 시계열로 분해, 생성되며, 이렇게 주기에 따라 장단기로 분할된 시계열들은 2차 모형단계에서 신경망의 새로운 입력변수로서 사용되어 최종적인 인공 신경망모델을 구축하는 데 반영된다.

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Development of SDI Signal generator for Large size TFT-LCD (대형 TFT-LCD용 SDI 신호 생성기의 개발)

  • Choi, Dae-Seub;Sin, Ho-Chul
    • Journal of Satellite, Information and Communications
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    • v.9 no.1
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    • pp.13-16
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    • 2014
  • In applying LCD to TV application, one of the most significant factors to be improved is image sticking on the moving picture. LCD is different from CRT in the sense that it's continuous passive device, which holds images in entire frame period, while impulse type device generate image in very short time. To reduce image sticking problem related to hold type display mode, we made an experiment to drive TN-LCD like CRT. We made articulate images by fast refreshing images, and we realized the ratio of refresh time by counting between on time and off time for video signal input during 1 frame (16.7ms). Conventional driving signal cannot follow fast on-off speed, so we evaluated new signal generator using SDI (Serial Data Interface) mode signal generator. We realized articulate image generation similar to CRT by high fast full HD (High Definition) signals and TN-LCD overdriving. As a result, reduced image sticking phenomenon was validated by naked eye and response time measurement.

Performance Comparison of Pilot Channel and Pilot Symbol Methods for DS/CDMA System (DS/CDMA 시스템에서 파일롯 채널방식과 파일롯 심볼방식의 성능비교)

  • Jeong, Sang-Wook;Shin, Seung-Hoon;Kwak, Kyung-Sup
    • Journal of IKEEE
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    • v.2 no.1 s.2
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    • pp.85-95
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    • 1998
  • We consider two methods for the pilot signal transmission in DS/CDMA systems: Pilot channel method which is parallel to the data channel and pilot symbol method which is serial to the data channel. In this paper, we analyze the two methods. The performance of the two methods is shown to be dependent upon the added noise, fading, pilot symbol period and pilot channel power. Through the analysis, it is found that the performance of the pilot symbol method outperforms compared to the pilot channel method.

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