• Title/Summary/Keyword: Signal converter

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Design of Power Factor Correction IC for 1.5kW System Power Module (1.5kW급 System Power Module용 Power Factor Correction IC 설계)

  • Kim, Hyoung-Woo;Seo, Kil-Soo;Kim, Ki-Hyun;Park, Hyun-Il;Kim, Nam-Kyun
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.499-500
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    • 2008
  • In this paper, we design and implement the monolithic power factor correction IC for system power modules using a high voltage(50V) CMOS process. The power factor correction IC is designed for power applications, such as refrigerator, air-conditioner, etc. It includes low voltage logic, 5V regulator, analog control circuit, high-voltage high current output drivers, and several protection circuits. And also, the designed IC has standby detection function which detects the output power of the converter stage and generates system down signal when load device is under the standby condition. The simulation and experimental results show that the designed IC acts properly as power factor correction IC with efficient protective functions.

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Scalability of GMPLS Node Using Optical Frequency Shifters Based on SNR Analysis

  • Arai, Nahoko;Nakagawa, Kiyoshi;Takano, Katsumi;Hiranaka, Yukio
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.880-883
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    • 2002
  • We propose an effective wavelength converter method using frequency shifter for photonic node, and examine the scalability of Generalized Multiprotocol Label Switching (GMPLS) networks. The ana1ysis is examined based on signal to noise ratio (SNR) for present 2.4 and 10 Gbit/s Synchronous Digital Hierarchy (SDH) networks, and next generation 2.7 and 10.8 Gbit/s Optical Transport Networks (OTN) format The proposed 100 channels GMPLS networks using optical frequency shifters are shown to be applicable to transmission network spanning over 1206 km(24 nodes) in 2.7 Gbit/s trunk networks. Transmission over more than 310 km (6 nodes) is also possible in 2.7 Gbit/s Metroporitan Area Networks(MAN).

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Robot Design for Fire Detection and Data Processing (화재감지를 위한 로봇 설계 및 데이터 처리)

  • Moon, Yong-Seon;Seo, Young-Nam;Ko, Nak-Young;Roh, Sang-Hyun;Park, Jongkyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.1
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    • pp.31-36
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    • 2010
  • In this paper, an autonomous mobile robot for fire detection is designed. The robot is equipped with thermal sensor which rotates for wide range of detection. The fire detector A2TPMI is used. A data processing method for robust fire detection is also implemented. AD converter and Kalman filter is applied to remove noisy signal from the fire detection sensor.

DSP Implementation of the Adaptive BPSK demodulator for Underwater acoustic communication (수중 초음파 통신을 위한 적응형 BPSK 복조기의 DSP 구현)

  • Jeon, Jae-Kuk;Park, Chan-Sub;Joo, Hyung-Jun;Kim, Ki-Man
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2006.06a
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    • pp.109-110
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    • 2006
  • The performance of a digital baseband signal processing and data transmission rate depends on the modulation technique. In this paper, We implemented DSP communication system for Underwater acoustic communication using by adaptive BPSK modem technique. In order to implement adaptive modem, we suggested SNR detection block. SNR detection block has the reference SNR value that selects between window filter path and matched filter path. In this paper, suggested system is based on software interface and all Hardware(PLL, modem filter, equalizer etc) is implemented by software, exclusive of DSP, A/D, D/A converter, SDRAM and Flash memory.

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A study on the development of ADEX (ADEX 개발에 관한 연구)

  • Oh, Jae-Eung;Shin, Joon;Hahn, Chang-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.453-456
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    • 1992
  • Diagnostic prototype expert system was developed by analyzing the measured acoustical data of automobile. For the utilities of this system, 1/3 octave filter(band-pass filter) and A/D converter were used for data acquisition and then information was analyzed using signal processing technique and pattern recognition by Hamming network algorithm. In order to raise the reliability of the diagnostic results, fuzzy inference technique was applied and, the results were displayed as graphical method to help the novice in diagnostic field. The validation of this diagnostic system was checked through experiments and it showed and acceptable performance for diagnostic process.

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The Design of a Position Controller for the Linear Brushless D.C. Motor Using New Auto-tuning PI control Method (새로운 Auto-Tuning PI 제어 방법을 이용한 선형 추진 브러시리스 직류 전동기에 대한 위치 제어기 설계)

  • 최중경;박승엽;전인효
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.1121-1124
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    • 1999
  • Linear motor is able to produce line movement without rotary-to-line converter at the system required line moving. Thus Linear motor has no gear, screw, belt for line movement. Therefore it has some advantage which decrease friction loss, noise, vibration, maintenance effort and prevent decay of control performance due to backlash. This paper proposes the estimation method of unknown parameters from the BLDC Linear motor and determine the PI controller gain through this estimation. Each control movement that is current, speed, position control, and PWM wave generation is performed on Processor, which is DSP(Digital Signal Processor), having high speed performance. PI theory is adopted to each for controller for control behavior More fast convergence to command position is accomplished by applying the new velocity locus which derived from position error.

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The FPGA Implementation of Wavelet Transform Chip using Daubechies′4 Tap Filter for DSP Application

  • Jeong, Chang-Soo;Kim, Nam-Young
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.376-379
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    • 1999
  • The wavelet transform chip is implemented with Daubechies' 4 tap filter. It works at 20MHz in Field Programmable Gate array (FPGA) implementation of Quadrature Mirror Filter(QMF) Lattice Structure. In this paper, the structure contains taro-channel quadrature mirror filter, data format converter(DFC), delay control unit(DCU), and three 20$\times$8 bits real multiplier. The structures for the DFC and DCU need to he regular and scalable, require minimum number of regular, and thereby lead to an efficient and scalable architecture for the Discrete Wavelet Transform(DWT). These results present the possibility that it can be used in Digital Signal Processing(DSP) application faster than Fourier transform at small area with lour cost.

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A Time-Domain Parameter Extraction Method for Speech Recognition using the Local Peak-to-Peak Interval Information (국소 극대-극소점 간의 간격정보를 이용한 시간영역에서의 음성인식을 위한 파라미터 추출 방법)

  • 임재열;김형일;안수길
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.2
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    • pp.28-34
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    • 1994
  • In this paper, a new time-domain parameter extraction method for speech recognition is proposed. The suggested emthod is based on the fact that the local peak-to-peak interval, i.e., the interval between maxima and minima of speech waveform is closely related to the frequency component of the speech signal. The parameterization is achieved by a sort of filter bank technique in the time domain. To test the proposed parameter extraction emthod, an isolated word recognizer based on Vector Quantization and Hidden Markov Model was constructed. As a test material, 22 words spoken by ten males were used and the recognition rate of 92.9% was obtained. This result leads to the conclusion that the new parameter extraction method can be used for speech recognition system. Since the proposed method is processed in the time domain, the real-time parameter extraction can be implemented in the class of personal computer equipped onlu with an A/D converter without any DSP board.

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A study on the recognition system of Korean phenemes using filter-Bank analysis (필터뱅크 분석법을 사용한 한국어 음소의 인식에 관한 연구)

  • 남문현;주상규
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.473-478
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    • 1987
  • The purpose of this study is to design a phoneme-class recognition system for Korean language using filter-bank analysis and zero crossing rate method. First, the speech signals are separated in 16 bandpass filters to obtain short-time spectrum of speech signals, and digitized by 16-ch A/D converter. And then, with the set of features which extracted from patterns of ratios of each channel energy level to overall energy level, the decision rules are made for recognize unknown speech signal. In this experiment, the recognition rate was about 93.1 percent for 7 vowels under multitalker environment and 74.4 percent for 10 initial sounds at single speaker.

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Marine Engine State Monitoring System using DPQ in CAN Network (CAN의 분산 선행대기 열 기법을 이용한 선박 엔진 모니터링 시스템)

  • Lee, Hyun;Lee, Jun-Seok;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.1
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    • pp.13-20
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    • 2012
  • This paper proposes a marine engine state monitoring system using a DPQ (Distributed Precedence Queue) mechanism which collects the state of bearings, temperature and pressure of engine through the CAN network. The CAN is developed by Bosch Corp. in the early 1980' for automobile network. The data from various sensors attached in the marine engine are converted to digital by the analog to digital converter and formatted to fit the CAN protocol at the CAN module. All the CAN modules are connected to the SPU (Signal Processing Unit) module for the efficient communication and processing. This design reduces the cost for wiring and improves the data transmission reliability by recognizing the sensor errors and data transmission errors. The DPQ mechanism is newly developed for the performance improvement of the marine engine system, which is demonstrated through the experiments.