• Title/Summary/Keyword: 신호변환장치

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Construction of the Electrochemical Impedance Measurement System Using Fourier Transform (푸리에 변환을 이용한 전기화학적 임피던스 측정 시스템 제작)

  • Hwang, Eui-Jin;Oh, Sang-Hyub
    • Journal of the Korean Chemical Society
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    • v.35 no.6
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    • pp.713-719
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    • 1991
  • Electrochemical impedance measurement system using Fourier transform was constructed in the range of the frequencies up to 100 kHz. This system consists of pseudo-random noise generator, specially designed potentiostat, fast data acquisition system, system controller, and computer interface. The performance of the constructed system was found to be almost same as the commercially available system using lock-in amplifier. Measuring time was significantly reduced because the minimum time for the measurement depended on one cycle of the lowest frequency used. It would be possible to study time-varying electrochemical impedance systems such as the initial stages of corrosion processes using this system.

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Advanced flame quality indicator for emission control (저공해 연소를 위한 화염진단장치의 특성)

  • Kim, Jong-Won;Lee, Sang-Ho;Park, Kee-Bae;Sim, Kyu-Sung
    • Journal of Sensor Science and Technology
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    • v.5 no.6
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    • pp.43-50
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    • 1996
  • It is very important to improve the combustion efficiency and reduce pollutant emission in order to save energy and environment. Especially, thermal NOx has been reduced through monitoring burner flame, because the thermal NOx is strongly related to flame characteristics. In this work, a flame-monitoring system was fabricated with photodiode, optical fiber, interference filter and data acquisition system, and it was applied to a lab-scale methane combustion system and a testing facility. Flame intensity and mean frequency increased with increasing turbulent intensity and fuel loading. The sensor signal from flame fluctuations differed from that without flame, which showed the availability af the flame scanner to find the presence of flame. NOx emissions increased with flame intensity.

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Harmonic Frequency Analysis of Interlocking System for Rolling Stock Operation in Electrical Railroads (전기철도 구간에서의 철도차량 운행에 따른 연동장치 고조파 분석)

  • Baek, Jong-Hyen;Kim, Yong-Kyu;Oh, Seh-Chan;Lee, Kang-Mi;Jo, Hyun-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.8
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    • pp.3610-3616
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    • 2011
  • Electrical Railroads provide electric power, which can operate vehicles, via feeder wires. And the supplied current returns to the transformer substation through lines and ground net. The used load current depending on the operation of rail vehicles in the electric railway sections returns to the substation through a track which is a return circuit. The load current contains harmonics because of the power conversion equipment used in rolling stocks and such harmonic currents should not affect train control system. In this paper we present the test result in order to verify that the harmonics produced by the operation of rail vehicles in the newly built electric railway sections can affect interlocking systems. The test in question was performed in a linking section that trackside equipment under railway operating conditions and interlocking are linked in order to identify whether or not the interlocking fitted in a signal machine room can be affected by harmonics according to railway operation.

Compression of Medical Images Using DWT (DWT을 이용한 의료영상 압축)

  • Lim, Jae-Dong;Lee, Sang-Bock
    • Journal of the Korean Society of Radiology
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    • v.2 no.2
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    • pp.11-16
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    • 2008
  • The most difficult of implementation PACS is large amount of data. Therefore, PACS needs mass storage, as well as rapid transmission time. Consequently, medical images needs compression when stored in PACS. WT(wavelet transform) was announced by Ingrid Daubechies and Stephane Mallat, WT was methods of signal analysis by a base functions set same as Fourie transform. This paper estimated an efficiency, that experimental medical images compressed by DWT. The result of estimated, we are knows effectiveness that display to remained signal in low frequency region after 4-level DWT form $512{\times}512{\times}2^8$ input images. Compression ratio of images by 4-level DWT was 1:16. It is a high compression ratio, the other side has a problem appears on staircase phenomenon.

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Photovoltaic Generation System Control Using Space Vector PWM Method (공간벡터 PWM 방식을 이용한 태양광 발전 시스템 제어)

  • Cho, Moon-Taek;Choi, Hae-Gill;Lee, Chung-Sik;Baek, Jong-Mu
    • Journal of the Korean Society of Radiology
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    • v.4 no.3
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    • pp.31-37
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    • 2010
  • In this paper, a photovoltaic system is designed with PWM(Pulse Width Modulation) voltage source inverter. Proposed synchronous signal and control signal was processed by 56F8323 microprocessor for stable modulation. The PWM voltage source inverter using inverter consists of complex type of electric power converter to compensate for the defect, that is solar cell cannot be developed continuously by connecting with the source of electric power for ordinary use. It can cause the effect of saving electric power, from 10 to 20[%]. The PWM voltage source inverter operates in situation that its output voltage is in same phase with the utility voltage. In addition, I connected extra power to the system through operation the system voltage and inverter power in a synchronized way by extracting the system voltage so that the phase of the system and PWM voltage inverter can be synchronized. In the system of this research showed good results after being controlled in order to provide stable power to the load and the system through maintaining and low output power of harmonics.

Development of intelligent fault diagnostic system for mechanical element of wind power generator (지능형 풍력발전 기계적 요소 고장진단 시스템 개발)

  • Moon, Dea-Sun;Kim, Sung-Ho
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.1
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    • pp.78-83
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    • 2014
  • Recently, a rapid growth of wind power system as a leading renewable energy source has compelled a number of companies to develop intelligent monitoring and diagnostic system. Such systems can detect early mechanical faults, which prevents from costly repairs. Generally, fault diagnostic system for wind turbines is based on vibration and process signal analysis. In this work, different type of mechanical faults such as mass unbalance and shaft misalignment which can always happen in wind turbine system is considered. The proposed intelligent fault diagnostic algorithm utilizes artificial neural network and Wavelet transform. In order to verify the feasibility of the proposed algorithm, mechanical fault generation experimental system manufactured by Gaon corporation is utilized.

A Method of White Noise Reduction for Recognizing Cattle's Gulp Downing Sounds

  • Kwak, Ho-Young;Kim, Woo-Chan;Chang, Jin-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.153-161
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    • 2019
  • In this paper, we proposed a method to measure the feed intake of cattle using the cattle's gulp downing sounds. To measure the sound of cattle's gulp downing, the recording is performed through a wearable device attached to the cattle's neck. A lot of noises are recorded according to the ranching environment. This paper proposed a method for spectralizing raw gulping sound data containing white noise and removing white noise through the signal transformation using a filter. This allows the feed intake to be measured. Through the proposed white noise reduction method, it was possible to extract only the cattle's gulp downing sound, and through this, the number of cattle's gulp downing could be measured. The proposed method in this paper makes it possible to measure cattle's feed intake easily, so that estrus prediction, health care for cattle, and feed management can be done efficiently.

Log Count Rate Circuits for Checking Electronic Cards in Low Frequency Band Reactor Power Monitoring (저주파수대의 원자로 출력신호 점검을 위한 대수 카운트레이트 회로)

  • Kim, Jong-ho;Che, Gyu-shik
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.557-565
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    • 2020
  • In order for thermal degradationIn, excore nuclear flux monitoring system, as a monitoring and signal processing methodology of reactor power, monitors neutron pulses generated during nuclear fission as frequency status, and converts them into DC voltage, and then log values resultantly. The methods realy applied in the nuclear power plant are to construct combination of counters and flip-flops, or diodes and capacitors up to now. These methodes are reliable for relative high frequencies, while not credible for reasonable low frequencies or extreme low values. Therefore, we developed the circuit that converts frequencies into DC voltages, into and into log DC values in the wide range from low Hz to several hundred high kHz. We proved their validities through testing them using real data used in nuclear power plant and analyzed their results. And, these methods will be used to measure the neutron level of excore nuclear flux monitoring system in nuclear power plant.

10Gbps Demultiplexer using SiGe HBT (SiGe HBT를 이용한 10Gbps 디멀티플렉서 설계)

  • 이상흥;강진영;송민규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.4A
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    • pp.566-572
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    • 2000
  • In the receiver of optical communication systems, a demultiplexer converts to a single data stream with a highbit rate into several parallel data streams with a low bit rate. In this paper, we design a 1:4 demultiplexer using SiGe HBT with emitter size of 2x8um² The operation speed is 10Gbps, the rise and fall times of 20-80% are37ps and 36ps, respectively and the dissipation of power is 1.40W.

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Induction Motor Diagnosis System by Effective Frequency Selection and Linear Discriminant Analysis (유효 주파수 선택과 선형판별분석기법을 이용한 유도전동기 고장진단 시스템)

  • Lee, Dae-Jong;Cho, Jae-Hoon;Yun, Jong-Hwan;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.380-387
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    • 2010
  • For the fault diagnosis of three-phase induction motors, we propose a diagnosis algorithm based on mutual information and linear discriminant analysis (LDA). The experimental unit consists of machinery module for induction motor drive and data acquisition module to obtain the fault signal. As the first step for diagnosis procedure, DFT is performed to transform the acquired current signal into frequency domain. And then, frequency components are selected according to discriminate order calculated by mutual information As the next step, feature extraction is performed by LDA, and then diagnosis is evaluated by k-NN classifier. The results to verify the usability of the proposed algorithm showed better performance than various conventional methods.