• Title/Summary/Keyword: Zero-crossing

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A Study on the Performance Improvement of Digital Phase-Locked Loop Using a Half Period Sampling (반주기 표본화를 이용한 디지탈 위상동기회로의 성능개선에 관한 연구)

  • 최영준;강철호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.12 no.5
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    • pp.478-491
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    • 1987
  • In this paper, an all Digital Phase-Locked Loop(DPLL) has been propoed, which has reduced the phase error by using a half period sampling in order to improve the performance of the conventional DPLL which tracks the phase of incoming sinusoidal signal once per cycle for the Positive Going Zero crossing(PGZC) of the signal. The proposed DPLL tracks the phase of input signal twice per cycle with two samplers for the PGZC. So the loop has a half reduction of the steady state phase error fluctuation ranges without decreasing the lock-range in a whole, comparing with that of the conventional DPLL. Also, it has been known that the proposed loop is rapidly locked to input signal for the same valves of phase differenc between sucessive samples and quantization level. The analytic results of the proposed loop have been verified by computer simulation for the practically requeired conditions.

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Serial line multiplexing method based on bipolar pulse for PET

  • Kim, Yeonkyeong;Choi, Yong;Kim, Kyu Bom;Leem, Hyuntae;Jung, Jin Ho
    • Nuclear Engineering and Technology
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    • v.53 no.11
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    • pp.3790-3797
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    • 2021
  • Although the individual channel readout method can improve the performance of PET detectors with pixelated photo-sensors, such as silicon photomultiplier (SiPM), this method leads to a significant increase in the number of readout channels. In this study, we proposed a novel multiplexing method that could effectively reduce the number of readout channels to reduce system complexity and development cost. The proposed multiplexing circuit was designed to generate bipolar pulses with different zero-crossing points by adjusting the time constant of the high-pass filter connected to each channel of a pixelated photo-sensor. The channel position of the detected gamma-ray was identified by estimating the width between the rising edge and the zero-crossing point of the bipolar pulse. In order to evaluate the performance of the proposed multiplexing circuit, four detector blocks, each consisting of a 4 × 4 array of 3 mm × 3 mm × 20 mm LYSO and a 4 × 4 SiPM array, were constructed. The average energy resolution was 13.2 ± 1.1% for all 64 crystal pixels and each pixel position was accurately identified. A coincidence timing resolution was 580 ± 12 ps. The experimental results indicated that the novel multiplexing method proposed in this study is able to effectively reduce the number of readout channels while maintaining accurate position identification with good energy and timing performance. In addition, it could be useful for the development of PET systems consisting of a large number of pixelated detectors.

A Study on Emotion Recognition of Chunk-Based Time Series Speech (청크 기반 시계열 음성의 감정 인식 연구)

  • Hyun-Sam Shin;Jun-Ki Hong;Sung-Chan Hong
    • Journal of Internet Computing and Services
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    • v.24 no.2
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    • pp.11-18
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    • 2023
  • Recently, in the field of Speech Emotion Recognition (SER), many studies have been conducted to improve accuracy using voice features and modeling. In addition to modeling studies to improve the accuracy of existing voice emotion recognition, various studies using voice features are being conducted. This paper, voice files are separated by time interval in a time series method, focusing on the fact that voice emotions are related to time flow. After voice file separation, we propose a model for classifying emotions of speech data by extracting speech features Mel, Chroma, zero-crossing rate (ZCR), root mean square (RMS), and mel-frequency cepstrum coefficients (MFCC) and applying them to a recurrent neural network model used for sequential data processing. As proposed method, voice features were extracted from all files using 'librosa' library and applied to neural network models. The experimental method compared and analyzed the performance of models of recurrent neural network (RNN), long short-term memory (LSTM) and gated recurrent unit (GRU) using the Interactive emotional dyadic motion capture Interactive Emotional Dyadic Motion Capture (IEMOCAP) english dataset.

Study on Applicability of Frequency Domain-Based Fatigue Analysis for Wide Band Gaussian Process I : Rayleigh PDF (광대역 정규 프로세스에 대한 주파수 영역 기반 피로해석법의 적용성에 관한 연구 I : 레일리 PDF)

  • Choung, Joon-Mo;Kim, Kyung-Su;Nam, Ji-Myung;Koo, Jeong-Bon;Kim, Min-Soo;Shim, Yong-Lae;Urm, Hang-Sub
    • Journal of the Society of Naval Architects of Korea
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    • v.49 no.4
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    • pp.350-358
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    • 2012
  • This paper deals with accuracy of accumulated fatigue damage estimation using stochastic fatigue analysis method based on Rayleigh PDF. From full scale measurement data on an 8100TEU container vessel, zero-order spectral moments for wave- and vibration-induced energy spectral densities are determined on the probability level of 99%. 80 simulation cases in total are prepared according to the variation of ratio of zero-order spectral moments and center frequency of vibration ESD. By using inverse Fourier transformation and rainflow cycle counting for the combined ESD of wave and vibration, exact fatigue damages are derived. Fatigue damages in frequency domain based on Rayleigh PDF show large conservativeness compared to exact fatigue damages in times domain. The main cause of the excessive conservativeness is analyzed by two aspects: ratio of zero crossing and peak frequencies and ratio of initial zero order spectral moments and zero order spectral moments from rainflow stress range distributions. Finally, a guideline of applicability of Rayleigh PDF is proposed for wide band processes.

Extraction of Feature Curves from Unorganized Points (연결 정보가 없는 포인트 데이타로부터 특징선 추출 알고리즘)

  • Kim, Soo-Kyun;Kim, Sun-Jung;Kim, Chang-Hun
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.10
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    • pp.768-776
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    • 2006
  • Given an unstructured point set, we use an MLS (melting least-squares) approximation to estimate the local curvatures and their derivatives at a point by means of an approximation surface Then, we compute neighbor information using a Delaunay tessellation. feature points can then be detected as zero-crossings, and connected using curvature directions. Also this approach has a fast computation time than previous methods, which based on triangle meshes. We demonstrate our method on several large point-sampled models, rendered by point-splatting, on which the feature lines are rendered with line width determined from curvatures.

A Single-Stage Power Factor Correction Converter far $90-265V_{rms}$ Line Applications ($90-265V_{rms}$ 입력범위를 갖는 단일전력단 역률개선 컨버터)

  • 이준영;박희정;구관본;윤명중
    • The Transactions of the Korean Institute of Power Electronics
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    • v.5 no.5
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    • pp.508-514
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    • 2000
  • A single-stage power factor correction AC/DC converter with a simple link voltage suppressing circuit (LVSC) for the universal line application is proposed. Using this simple circuit, a low link voltage can be realized without deadbands at line zero-crossings. The proposed converter is analyzed and a prototype converter with 5V, 12A output is implemented to verify the performance. The experimental results show that the link voltage stress and efficiency are about 447V and 81%, respectively.

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An Integrated Single-Stage Zero Current Switched Quasi-Resonant Power Factor Correnction Converter with Active Clamp Circuit (능동 클램프 회로를 적용한 단상 ZCS 공진형 역률개선 컨버터)

  • 문건우;구관본;윤명중
    • The Transactions of the Korean Institute of Power Electronics
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    • v.4 no.6
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    • pp.539-546
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    • 1999
  • A new integrated single-stage zero current switched(ZCS) quasi resonant convertedQRC) for the IX)wer f factor correction(PFCl converter is introduced in this paper. The power factor correction can be achieved by t the discontinuous conduction mod$\varepsilon$(DCM) operation of an input current. The proposed converter has the c characteristics of the good IX)wer factor, 10씨 line current harmonics, and tight output regulation. Furthern10re, t the ringing effect due to the output capacitance of the main switch can be eliminated by use of‘ active clamp c circuit. Therefore, the proIX)sed converter is expecttc'(] to be suitable for a compact power converter with a t tightly regulated output voltage requiring a switching frequency of more than several hundrtc'(]s kHz.

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An acoustic sensor fault detection method based on root-mean-square crossing-rate analysis for passive sonar systems (수동 소나 시스템을 위한 실효치교차율 분석 기반 음향센서 결함 탐지 기법)

  • Kim, Yong Guk;Park, Jeong Won;Kim, Young Shin;Lee, Sang Hyuck;Kim, Hong Kook
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.1
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    • pp.30-38
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    • 2017
  • In this paper, we propose an underwater acoustic sensor fault detection method for passive sonar systems. In general, a passive sonar system displays processed results of array signals obtained from tens of the acoustic sensors as a two-dimensional image such as displays for broadband or narrowband analysis. Since detection result display in the operation software is to display the accumulated result through the array signal processing, it is difficult to determine the possibility where signal may be contaminated by the fault or failure of a single channel sensor. In this paper, accordingly, we propose a detection method based on the analysis of RMSCR (Root Mean Square Crossing-Rate), and the processing techniques for the faulty sensors are analyzed. In order to evaluate the performance of the proposed method, the precision of detecting fault sensors is measured by using signals acquired from real array being operated in several coastal areas. Besides, we compare performance of fault processing techniques. From the experiments, it is shown that the proposed method works well in underwater environments with high average RMS, and mute (set to zero) shows the best performance with regard to fault processing techniques.

Speech Emotion Recognition Based on GMM Using FFT and MFB Spectral Entropy (FFT와 MFB Spectral Entropy를 이용한 GMM 기반의 감정인식)

  • Lee, Woo-Seok;Roh, Yong-Wan;Hong, Hwang-Seok
    • Proceedings of the KIEE Conference
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    • 2008.04a
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    • pp.99-100
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    • 2008
  • This paper proposes a Gaussian Mixture Model (GMM) - based speech emotion recognition methods using four feature parameters; 1) Fast Fourier Transform(FFT) spectral entropy, 2) delta FFT spectral entropy, 3) Mel-frequency Filter Bank (MFB) spectral entropy, and 4) delta MFB spectral entropy. In addition, we use four emotions in a speech database including anger, sadness, happiness, and neutrality. We perform speech emotion recognition experiments using each pre-defined emotion and gender. The experimental results show that the proposed emotion recognition using FFT spectral-based entropy and MFB spectral-based entropy performs better than existing emotion recognition based on GMM using energy, Zero Crossing Rate (ZCR), Linear Prediction Coefficient (LPC), and pitch parameters. In experimental Results, we attained a maximum recognition rate of 75.1% when we used MFB spectral entropy and delta MFB spectral entropy.

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Statistical Characteristics of the Electromagnetic Pulses Radiated from Intracloud Discharges (운방전에 의한 뇌전자장 펄스의 특성)

  • Lee, B.H.;Lee, D.M.;Jeong, D.C.;Lee, S.C.;Ahn, C.H.
    • Proceedings of the KIEE Conference
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    • 2004.07c
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    • pp.1882-1884
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    • 2004
  • In this paper, the waveform parameters of electromagnetic pulses radiated from intracloud discharges were presented. The zero-crossing times and the full pulse widths of the large bipolar electromagnetic pulses due to intracloud discharges are gradually decreased as the stroke proceeds. Also, the electromagnetic pulses tend to be bipolar, with narrow and fast leader pulses superimposed on the initial half cycle. The mean numbers of leader pulses superimposed on the initial half cycle were 1.61${\pm}$0.74 and 1.75${\pm}$0.73 for the positive and negative polarities, respectively.

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