• Title/Summary/Keyword: Power Generator

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Design of a Wide-Frequency-Range, Low-Power Transceiver with Automatic Impedance-Matching Calibration for TV-White-Space Application

  • Lee, DongSoo;Lee, Juri;Park, Hyung-Gu;Choi, JinWook;Park, SangHyeon;Kim, InSeong;Pu, YoungGun;Kim, JaeYoung;Hwang, Keum Cheol;Yang, Youngoo;Seo, Munkyo;Lee, Kang-Yoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.1
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    • pp.126-142
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    • 2016
  • This paper presents a wide-frequency-range, low-power transceiver with an automatic impedance-matching calibration for TV-white-space (TVWS) application. The wide-range automatic impedance matching calibration (AIMC) is proposed for the Drive Amplifier (DA) and LNA. The optimal $S_{22}$ and $S_{11}$ matching capacitances are selected in the DA and LNA, respectively. Also, the Single Pole Double Throw (SPDT) switch is integrated to share the antenna and matching network between the transmitter and receiver, thereby minimizing the systemic cost. An N-path filter is proposed to reject the large interferers in the TVWS frequency band. The current-driven mixer with a 25% duty LO generator is designed to achieve the high-gain and low-noise figures; also, the frequency synthesizer is designed to generate the wide-range LO signals, and it is used to implement the FSK modulation with a programmable loop bandwidth for multi-rate communication. The TVWS transceiver is implemented in $0.13{\mu}m$, 1-poly, 6-metal CMOS technology. The die area of the transceiver is $4mm{\times}3mm$. The power consumption levels of the transmitter and receiver are 64.35 mW and 39.8 mW, respectively, when the output-power level of the transmitter is +10 dBm at a supply voltage of 3.3 V. The phase noise of the PLL output at Band 2 is -128.3 dBc/Hz with a 1 MHz offset.

Distribution of vibration signals according to operating conditions of wind turbine (풍력발전기 운전환경에 따른 진동신호 분포)

  • Shin, Sung-Hwan;Kim, SangRyul;Seo, Yun-Ho
    • The Journal of the Acoustical Society of Korea
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    • v.35 no.3
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    • pp.192-201
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    • 2016
  • Condition Monitoring System (CMS) has been used to detect unexpected faults of wind turbine caused by the abrupt change of circumstances or the aging of its mechanical part. In fact, it is a very hard work to do regular inspection for its maintenance because wind turbine is located on the mountaintop or sea. The purpose of this study is to find out distribution patterns of vibration signals measured from the main mechanical parts of wind turbine according to its operation condition. To this end, acceleration signals of main bearing, gearbox, generator, wind speed, rotational speed, etc were measured through the long period more than 2 years and trend analyses on each signal were conducted as a function of the rotational speed. In addition, correlation analysis among the signals was done to grasp the relation between mechanical parts. As a result, the vibrations were dependent on the rotational speed of main shaft and whether power was generated or not, and their distributions at a specific rotational speed could be approximated to Weibull distribution. It was also investigated that the vibration at main bearing was correlated with vibration at gearbox each other, whereas vibration at generator should be dealt with individually because of generating mechanism. These results can be used for improving performance of CMS that early detects the mechanical abnormality of wind turbine.

Development of Chip-based Precision Motion Controller

  • Cho, Jung-Uk;Jeon, Jae-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1022-1027
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    • 2003
  • The Motion controllers provide the sophisticated performance and enhanced capabilities we can see in the movements of robotic systems. Several types of motion controllers are available, some based on the kind of overall control system in use. PLC (Programmable Logic Controller)-based motion controllers still predominate. The many peoples use MCU (Micro Controller Unit)-based board level motion controllers and will continue to in the near-term future. These motion controllers control a variety motor system like robotic systems. Generally, They consist of large and complex circuits. PLC-based motion controller consists of high performance PLC, development tool, and application specific software. It can be cause to generate several problems that are large size and space, much cabling, and additional high coasts. MCU-based motion controller consists of memories like ROM and RAM, I/O interface ports, and decoder in order to operate MCU. Additionally, it needs DPRAM to communicate with host PC, counter to get position information of motor by using encoder signal, additional circuits to control servo, and application specific software to generate a various velocity profiles. It can be causes to generate several problems that are overall system complexity, large size and space, much cabling, large power consumption and additional high costs. Also, it needs much times to calculate velocity profile because of generating by software method and don't generate various velocity profiles like arbitrary velocity profile. Therefore, It is hard to generate expected various velocity profiles. And further, to embed real-time OS (Operating System) is considered for more reliable motion control. In this paper, the structure of chip-based precision motion controller is proposed to solve above-mentioned problems of control systems. This proposed motion controller is designed with a FPGA (Field Programmable Gate Arrays) by using the VHDL (Very high speed integrated circuit Hardware Description Language) and Handel-C that is program language for deign hardware. This motion controller consists of Velocity Profile Generator (VPG) part to generate expected various velocity profiles, PCI Interface part to communicate with host PC, Feedback Counter part to get position information by using encoder signal, Clock Generator to generate expected various clock signal, Controller part to control position of motor with generated velocity profile and position information, and Data Converter part to convert and transmit compatible data to D/A converter.

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Design of a Spread Spectrum Clock Generator for DisplayPort (DisplayPort적용을 위한 대역 확산 클록 발생기 설계)

  • Lee, Hyun-Chul;Kim, Tae-Ho;Lee, Seung-Won;Kang, Jin-Ku
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.7
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    • pp.68-73
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    • 2009
  • This paper describes design and implementation of a spread spectrum clock generator (SSCG) for the DisplayPort. The proposed architecture generates the spread spectrum clock using a sigma-delta fractional-N PLL. The SSCG uses a digital End order MASH 1-1 sigma-delta modulator and a 9bit Up/Dn counter. By using MASH 1-1 sigma-delta modulator, complexity of circuit and chip area can be reduced. The advantage of sigma-delta modulator is the better control over modulation frequency and spread ratio. The SSCG generates dual clock rates which are 270MHz and 162MHz with 0.25% down-spreading and triangular waveform frequency modulation of 33kHz. The peak power reduction is 11.1dBm at 270MHz. The circuit has been designed and fabricated using in 0.18$\mu$m CMOS technology. The chip occupies 0.620mm$\times$0.780mm. The measurement results show that the fabricated chip satisfies the DispalyPort standard.

Application-specific Traffic Generator (응용 프로그램의 특성 반영이 가능한 트래픽 생성기)

  • Yeo, Phil-Koo;Cho, Keol;Yu, Dae-Chul;Hwang, Young-Si;Chung, Ki-Seok
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.9
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    • pp.40-49
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    • 2011
  • Integrating massive components and low-power policies have been actively investigated for system-on-chip designs. But in recent years, finding the optimal interconnection structure among heterogeneous components has emerged as a critical system design issue. Therefore, various simulation tools to model interconnection designs are being developed and performance evaluation of simulation is reflected in the real design. But most of the simulation environments employ traffic generation based on the mathematical probability functions, and such traffic generation cannot fully cover for various situations that may be occurred in the real system. Therefore, the demand for traffic pattern generation based on real applications is increasing. However, there have been few simulators that adopt application-specific traffic generators. This paper proposes a novel traffic generation method in simulating various interconnection structures for multi-processor system-on-chip design. The proposed traffic generation method can generate traffic patterns that can reflect the actual characteristics of the application and evaluate the performance of an interconnection structure under more realistic circumstance than traffic patterns using mathematical probability functions. By comparing the differences between the proposed method and the one based on mathematical probability functions, this paper shows advantages of the proposed traffic generation method.

A novel approach to the classification of ultrasonic NDE signals using the Expectation Maximization(EM) and Least Mean Square(LMS) algorithms (Expectation Maximization (EM)과 Least Mean Square(LMS) algorithm을 이용하여 초음파 비파괴검사 신호의 분류를 하기 위한 새로운 접근법)

  • Daewon Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.1
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    • pp.15-26
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    • 2003
  • Ultrasonic inspection methods are widely used for detecting flaws in materials. The signal analysis step plays a crucial part in the data interpretation process. A number of signal processing methods have been proposed to classify ultrasonic flaw signals. One of the more popular methods involves the extraction of an appropriate set of features followed by the use of a neural network for the classification of the signals in the feature space. This paper describes an alternative approach which uses the least mean square (LMS) method and expectation maximization (EM) algorithm with the model based deconvolution which is employed for classifying nondestructive evaluation (NDE) signals from steam generator tubes in a nuclear power plant. The signals due to cracks and deposits are not significantly different. These signals must be discriminated to prevent from happening a huge disaster such as contamination of water or explosion. A model based deconvolution has been described to facilitate comparison of classification results. The method uses the space alternating generalized expectation maximization (SAGE) algorithm In conjunction with the Newton-Raphson method which uses the Hessian parameter resulting in fast convergence to estimate the time of flight and the distance between the tube wall and the ultrasonic sensor Results using these schemes for the classification of ultrasonic signals from cracks and deposits within steam generator tubes are presented and showed a reasonable performances.

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Mitigation of Methane Emission and Energy Recycling in Animal Agricultural Systems

  • Takahashi, J.;Mwenya, B.;Santoso, B.;Sar, C.;Umetsu, K.;Kishimoto, T.;Nishizaki, K.;Kimura, K.;Hamamoto, O.
    • Asian-Australasian Journal of Animal Sciences
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    • v.18 no.8
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    • pp.1199-1208
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    • 2005
  • Abatement of greenhouse gas emitted from ruminants and promotion of biogas energy from animal effluent were comprehensively examined in each anaerobic fermentation reactor and animal experiments. Moreover, the energy conversion efficiency of biomass energy to power generation were evaluated with a gas engine generator or proton exchange membrane fuel cell (PEMFC). To mitigate safely rumen methanogenesis with nutritional manipulation the suppressing effects of some strains of lactic acid bacteria and yeast, bacteriocin, $\beta$1-4 galactooligosaccharide, plant extracts (Yucca schidigera and Quillaja saponarea), L-cysteine and/or nitrate on rumen methane emission were compared with antibiotics. For in vitro trials, cumulative methane production was evaluated using the continuous fermented gas qualification system inoculated with the strained rumen fluid from rumen fistulated Holstein cows. For in vivo, four sequential ventilated head cages equipped with a fully automated gas analyzing system were used to examine the manipulating effects of $\beta$1-4 galactooligosaccharide, lactic acid bacteria (Leuconostoc mesenteroides subsp. mesenteroides), yeast (Trichosporon serticeum), nisin and Yucca schidigera and/or nitrate on rumen methanogenesis. Furthermore, biogas energy recycled from animal effluent was evaluated with anaerobic bioreactors. Utilization of recycled energy as fuel for a co-generator and fuel cell was tested in the thermophilic biogas plant system. From the results of in vitro and in vivo trials, nitrate was shown to be a strong methane suppressor, although nitrate per se is hazardous. L-cysteine could remove this risk. $\beta$1-4 galactooligosaccharide, Candida kefyr, nisin, Yucca schidigera and Quillaja saponarea are thought to possibly control methanogenesis in the rumen. It is possible to simulate the available energy recycled through animal effluent from feed energy resources by making total energy balance sheets of the process from feed energy to recycled energy.

Classification of Ultrasonic NDE Signals Using the Expectation Maximization (EM) and Least Mean Square (LMS) Algorithms (최대 추정 기법과 최소 평균 자승 알고리즘을 이용한 초음파 비파괴검사 신호 분류법)

  • Kim, Dae-Won
    • Journal of the Korean Society for Nondestructive Testing
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    • v.25 no.1
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    • pp.27-35
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    • 2005
  • Ultrasonic inspection methods are widely used for detecting flaws in materials. The signal analysis step plays a crucial part in the data interpretation process. A number of signal processing methods have been proposed to classify ultrasonic flaw signals. One of the more popular methods involves the extraction of an appropriate set of features followed by the use of a neural network for the classification of the signals in the feature spare. This paper describes an alternative approach which uses the least mean square (LMS) method and exportation maximization (EM) algorithm with the model based deconvolution which is employed for classifying nondestructive evaluation (NDE) signals from steam generator tubes in a nuclear power plant. The signals due to cracks and deposits are not significantly different. These signals must be discriminated to prevent from happening a huge disaster such as contamination of water or explosion. A model based deconvolution has been described to facilitate comparison of classification results. The method uses the space alternating generalized expectation maximiBation (SAGE) algorithm ill conjunction with the Newton-Raphson method which uses the Hessian parameter resulting in fast convergence to estimate the time of flight and the distance between the tube wall and the ultrasonic sensor. Results using these schemes for the classification of ultrasonic signals from cracks and deposits within steam generator tubes are presented and showed a reasonable performances.

A Study on the Installation of SCR System for Generator Diesel Engine of Existing Ship (기존 선박의 디젤발전기용 SCR 시스템 설치에 관한 연구)

  • Ryu, Younghyun;Kim, Hongryeol;Cho, Gyubaek;Kim, Hongsuk;Nam, Jeonggil
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.4
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    • pp.412-417
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    • 2015
  • The IMO MEPC has been increasingly strengthening the emission standard for marine environment protection. In particular, nitrogen oxide (NOx) emissions of all ocean-going ships built from 2016 will be required to comply with the Tier-III regulation. In this study, a vanadia based SCR (Selective Catalytic Reduction) system developed for ship application was installed on a diesel engine for power generation of the training ship T/S SAENURI in Mokpo National Maritime University. For the present study, the exhaust pipeline of the generator diesel engine was modified to fit the urea SCR system. This study investigated the NOx reduction performance according to the two kind of injection method of urea solution (40%): Auto mode through the PLC (Programable Logic Control) and Manual mode. We were able to find the ammonia slip conditions when in manual mode method. So, the optimal urea injection quantity can be controlled at each engine load (25, 35, 50%) condition. It was achieved 80% reduction on nitrogen oxide. Furthermore, we found that the NOx reduction performance was better with the load up-down (while down to 25% from 50%) than the load down-up (while up to 50% from 25%) test.

Development of Frequency Weighing Sensor and Single Crystal Growth (새로운 무게센서 재발과 단결정성장(1))

  • Jang Y.N.;Sung N.H.;Chae S.C.;Bae I.K.;Kim I.J.
    • Korean Journal of Crystallography
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    • v.8 no.1
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    • pp.38-47
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    • 1997
  • A new weighing sensor for the automatic diameter control system of the crystal growth is developed in this study. This weighing sensor measures the frequency of the vibrating element which is lineally changing with respect to weight. The signal and the power of this system are transmitted without any physical contact, so that this sensor offers high accuracy and resolution. This system consists of a string, a sinusoidal wave generator, an automatic amplification adjusting circuit, signal transformers and a PCB. 4 kinds of programs are developed for checking DAC, weight calibration and controlling growth process. The measurements of the standard deviation and the resolution show $\pm0.10g$(measured at every second) and $5{\times}10^{-5}$, respectively, This weighing sensor is effective under high pres-sure of 200 atm, high temperature and vacuum condition. The weighing system can control the temperature in the accuracy of $\pm0.025^{\circ}C$ with the 'signal divider'. The optical quality single crystals of $(YGd)_3Sc_2Ga_3O_{12},\;Er-Y_3Sc_2Al_3O_{12},\;and\;Bi_{12}GeO_{20}$ have been grown by Czo-chralski method using this auto-diameter control system.

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