• Title/Summary/Keyword: acquisition parameter

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PCM Encoder Structure for Real-time Updating of Telemetry System Parameters (원격 측정 시스템 파라미터 실시간 업데이트 PCM 엔코더 구조)

  • Park, Yu-Kwang;Yoon, Won-Ju
    • Journal of Advanced Navigation Technology
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    • v.23 no.5
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    • pp.452-459
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    • 2019
  • In this paper, we describe a PCM encoder structure that can update the telemetry system parameters in real time. In the PCM encoder, an analog signal control unit for FPGA, flash memory, and sensor data acquisition was constructed. UART communication, analog signal control, flash memory control, and frame generation are possible through logic inside FPGA of PCM encoder. UART communication allows the PC to transmit parameter data to the PCM encoder, and flash memory is controlled to update the parameter of the telemetry system in real time and finally the frame is formed. Simulation and verification were performed to confirm whether the parameter data is updated in real time, and the proposed structure was used to construct a telemetry system with enhanced flexibility and convenience.

Analysis and Classification of PD Distribution for VPI Stator coil of Traction motor (진공함침에 따른 견인전동기 고정자 코일의 부분방전 분포 해석 및 분류)

  • Park, Seong-Hee;Kang, Seong-Hwa;Lim, Kee-Joe;Jang, Dong-Uk;Park, Hyun-June
    • Proceedings of the KIEE Conference
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    • 2004.07c
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    • pp.1982-1984
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    • 2004
  • Stator coil of rotating machinery has shown different characteristics according to impregnated with coil or not. And this is major determinant of equipment's life. In this paper, PD characteristics is studied as a classification scheme between two specimens. Processing of the coil impregnation is very important thing because that influences on thermal and electrical characteristics of the coil. And then PD is occurring at the coil and causing insulation degradation. For processing statistical processing, PD data acquired from PD detector using PDASDA(partial discharge acquisition, storage and display system). And also these statistical distribution and parameter are applied to classify PD sources by neural networks. As a result of, Neural Networks have a good discrimination rate for classification PD sources.

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Validation of Mathematical Models of UAV by Using the Parameter Estimation for Nonlinear System (비선형 시스템식별에 의한 무인비행기의 수학적 모델 적합성)

  • Lee, Hwan;Choi, Hyoung-Sik;Seong, Kie-Jeong
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.10
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    • pp.927-932
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    • 2007
  • The sophisticated mathematical model is required for the design and the database construction of the advanced flight control system of UAV. In this paper, flight test of KARI's research UAV, often called DURUMI-II, is implemented for the data acquisition from the maneuver flight. The flight path reconstruction is implemented to ensure that the measured data is consistent and error free. The nonlinear system identification for the refined mathematical modeling is implemented with the verified measurements from the flight path reconstruction. The simulation with the identified results have a good validation when the simulated responses were compared to the flight tested data.

Design of the CMOS Low-Voltage Regulation Circuit (CMOS 소자를 이용한 저전압 안정화 회로 설계)

  • Kim, Yeong-Min;Lee, Keun-Ho;Hwang, Jong-Sun;Kim, Jong-Man;Park, Hyun-Chul
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2002.05b
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    • pp.124-127
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    • 2002
  • A CMOS voltage regulation circuit for use at low-voltage is proposed. Circuits for a positive and for a negative current regulation are presented and are designed with commercial CMOS technology. The voltage regulation that is stable over ambient temperature variations is an important component of most data acquisition systems. These results are verified by the H-SPICE simulation $0.8{\mu}m$ parameter. As the result, the temperature dependency of output voltage is $0.57mV/^{\circ}C$ and the power dissipation is 1.8 mV on 5V supply voltage.

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Risk Evaluation of Failure Cause for FMEA under a Weibull Time Delay Model (와이블 지연시간 모형 하에서의 FMEA를 위한 고장원인의 위험평가)

  • Kwon, Hyuck Moo;Lee, Min Koo;Hong, Sung Hoon
    • Journal of the Korean Society of Safety
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    • v.33 no.3
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    • pp.83-91
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    • 2018
  • This paper suggests a weibull time delay model to evaluate failure risks in FMEA(failure modes and effects analysis). Assuming three types of loss functions for delayed time in failure cause detection, the risk of each failure cause is evaluated as its occurring frequency and expected loss. Since the closed form solution of the risk metric cannot be obtained, a statistical computer software R program is used for numerical calculation. When the occurrence and detection times have a common shape parameter, though, some simple results of mathematical derivation are also available. As an enormous quantity of field data becomes available under recent progress of data acquisition system, the proposed risk metric will provide a more practical and reasonable tool for evaluating the risks of failure causes in FMEA.

Under-Relaxed Image Restorative Technique for $Na^{23}$ MRI

  • Ro, D.W.;Ahn, C.B.
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.64-67
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    • 1992
  • To improve signal-to-noise ratio in sodium image, short echo time (2-3 ms) and long data acquisition (10-20 ms) protocols are used. Sodium in biological specimens demonstrates a bi-exponential decay of transverse magnetization and the fast decaying component of the sodium signal results in the reconstruction of images which are blurred significantly. The spatially-dependent nature of the blurs are due mainly to the presence of short local transverse relaxation values (0.7-3 ms) of sodium in tissue. We present an algorithm that corrects for object-dependent blurs due to fast-decaying T2 and improves the computational behavior of the algorithm by incorporating a relaxation parameter into the iterative process.

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Implementation of Network System for Bio-physical signal Communication

  • Kim, Jeong Lae;Kang, Jeong Jin;Rothwell, Edward J.
    • International Journal of Advanced Culture Technology
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    • v.1 no.1
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    • pp.1-5
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    • 2013
  • This network system for home care realized communication by the bio-physical signal, to convey physical rhythm. Four function of displacement had point of a Vision, Somatosensory, Vestibular and CNS. Bio-physical signal was decided to design a maximum points and minimum points with 0.01unit in reference level. Bio-physical signal was checked to compound physical condition of body posture for sensory organ. There detected a measurement of Vision, Somatosensory, Vestibular, CNS and BMI. The service of network system of home can be used to support a health care system for health assistant in health care center. It will expect to manage a physical parameter for network communication.

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The New Design of CMOS Voltage-Current Reference Circuit for Stable Voltage-Current Applications (새로운 CMOS 전압-전류 안정화 회로 설계)

  • Kim, Yeong-Min;Hwang, Jong-Sun
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.1239-1243
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    • 2004
  • A novel voltage-current reference circuit for stable voltage-current applications is Proposed. Circuits for a positive and for a negative voltage-current reference are presented and are designed with commercial CMOS technology. The voltage-current reference that is stable over ambient temperature variations is an important component of most data acquisition systems. These results are verified by the HSPICE simulation $0.8{\mu}m$ parameter. As the result, the temperature dependency of output voltage and output current each is $0.57mV/^{\circ}C$, $0.11{\mu}A/^{\circ}C$ and the power dissipation is 1.8 mV on 5V supply voltage.

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Geostatistics for Bayesian interpretation of geophysical data

  • Oh Seokhoon;Lee Duk Kee;Yang Junmo;Youn Yong-Hoon
    • 한국지구물리탐사학회:학술대회논문집
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    • 2003.11a
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    • pp.340-343
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    • 2003
  • This study presents a practical procedure for the Bayesian inversion of geophysical data by Markov chain Monte Carlo (MCMC) sampling and geostatistics. We have applied geostatistical techniques for the acquisition of prior model information, and then the MCMC method was adopted to infer the characteristics of the marginal distributions of model parameters. For the Bayesian inversion of dipole-dipole array resistivity data, we have used the indicator kriging and simulation techniques to generate cumulative density functions from Schlumberger array resistivity data and well logging data, and obtained prior information by cokriging and simulations from covariogram models. The indicator approach makes it possible to incorporate non-parametric information into the probabilistic density function. We have also adopted the MCMC approach, based on Gibbs sampling, to examine the characteristics of a posteriori probability density function and the marginal distribution of each parameter. This approach provides an effective way to treat Bayesian inversion of geophysical data and reduce the non-uniqueness by incorporating various prior information.

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The Operating Characteristics of 3kW Utility Interconnected Photovoltaic System (3kW 계통연계형 태양광발전시스템의 운전특성)

  • Kim, Hyung-Seok;Park, Jeong-Min;Na, Jong-Deok;Baek, Hyung-Rae;Cho, Geum-Bae
    • Proceedings of the KIEE Conference
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    • 2004.04a
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    • pp.201-204
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    • 2004
  • Consider the optimal design for PV system, it is apply to 3kW interconnected electric power PV system, that is a point of reference for 3kW PV the spread residential section system. Through the driving various practical system, we look into that for efficiency of generation and stability of interconnected system. Using obtained data acquisition, It can be suggest that installation and management for system parameter to optimal design maximum generation electric power. PV system have some losses that are variation radiation, shadow, change temperature, unbalanced grid connection, serial circuit loss, MPP deference loss, PCS loss and so forth. Using obtained various performance characteristic result, we can make database in the future, through the this study, we can get the reliance and have regard to spread PV system.

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