• Title/Summary/Keyword: Sensing current

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Thickness Evaluation of the Aluminum Using Pulsed Eddy Current (펄스 와전류를 이용한 알루미늄 두께 평가)

  • Lee, Jeong-Ki;Suh, Dong-Man;Lee, Seung-Seok
    • Journal of the Korean Society for Nondestructive Testing
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    • v.25 no.1
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    • pp.15-19
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    • 2005
  • Conventional eddy current testing has been used for the detection of the defect-like fatigue crack in the conductive materials, such as aluminum, which uses a sinusoidal signal with very narrow frequency bandwidth, Whereas, the pulsed eddy current method uses a pulse signal with a broad bandwidth. This can allow multi-frequency eddy current testing, and the penetration depth is greater than that of the conventional eddy current testing. In this work, a pulsed eddy current instrument was developed for evaluating the metal loss. The developed instrument was composed of the pulse generator generating the maximum square pulse voltage of 40V, an amplifier controlled up to 52dB, an A/D converter of 16 bit and the sampling frequency of 20 MHz, and an industrial personal computer operated by the Windows program. A pulsed eddy current probe was designed as a pancake type in which the sensing roil was located inside the driving roil. The output signals of the sensing roil increased rapidly wich the step pulse driving voltage かn off, and the latter part of the sensing coil output voltage decreased exponentially with time. The decrement value of the output signals increased as the thickness of the aluminum test piece increased.

Application of Frost Detecting Sensors in Refrigerators to Reduce Energy Consumption (냉장고 소비전력 저감을 위한 착상감지센서의 응용 연구)

  • 성창용;나승유;이희영
    • Proceedings of the IEEK Conference
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    • 2000.06e
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    • pp.147-150
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    • 2000
  • Manual and predictive defrosting method is used in current refrigerators, which have several problems in terms of energy consumption and efficiency. fuming the defrosting system on by the amount of frost remains to be an important problem which has to be improved by refrigerator manufacturers. The sensing of the amount of frost by FDS(Frost Detecting Sensor) and its proper mounting point are investigated in the paper. Also the realization of actual defrosting system through experiments of operation, energy consumption and sensing mechanism is presented.

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Contextual Classifier with the Context Probability as a Weighting Function (Context Probability를 Weighting Function으로 사용한 Contextual Classifier)

  • 노준경;박규호;김명환
    • Korean Journal of Remote Sensing
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    • v.2 no.1
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    • pp.3-11
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    • 1986
  • The current methods of estimating contest distribution function in contextual clarifier are to "classify and count", GTGM (ground-truth-guided-method) and unbiased estimator. In this paper we propose a new contextual classifier echoes context distribution is replaced by context probability that is estimated from transition probability. The classification accuracy increases considerably compared with the classical one.

Dispersion Pattern of CoolingWater of Kori Atomic Power Station Using Thermal Infrared Data (열적외선 자료에 의한 고리 원자력발전소의 냉각수 확산에 대한 연구)

  • 姜必鍾;智光薰
    • Korean Journal of Remote Sensing
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    • v.3 no.2
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    • pp.81-87
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    • 1987
  • The study was to analysis the dispersion of the cooling water of Kori atomic power station using thermal infrared data. The dispersion pattern of the cooling water analysis clearly on the LANDSAT TM band 6. It was changed due to tidal current, that is, the cooling water disperses north-eastern direction during the low tide and southweatern direction during the high tide. The relative temperature distribution was mapped through the density slicing method on the images.

Development of typhoon forecasting system using satellite data

  • Ryu, Seung-Ah;Chung, Hyo-Sang;Lee, Yong-Seob;Suh, Ae-Sook
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.127-131
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    • 1999
  • Typhoons were known by contributing to transporting plus heat or kinetic energy from equatorial region to midlatitude region. Due to the strong damage from typhoon, we acknowledged the theoretical study and the importance of accurate forecast about typhoon. In this study, typhoon forecasting system was developed to search the tracks of past typhoons or to display similar track of past typhoon in comparison with the path of current forecasting typhoon. It was programmed using Interactive Data Language(IDL), which was a complete computing environment for the interactive analysis and visualization of data. Typhoon forecasting system was also included satellite image and auxiliary chart. IR, Water Vapor, Visible satellite images helped users analyze an accurate forecast of typhoon. They were further refined the procedures for generating water vapor winds and gave an initial indication of their utility for numerical weather prediction(NWP), in particular for typhoon track forecasting where they could provide important information. They were also available for its utility in typhoon tracer or intensity.

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Enhanced Hydrogen Gas Sensing Properties of ZnO Nanowires Gas Sensor by Heat Treatment under Oxygen Atmosphere (산소 분위기 열처리에 따른 ZnO 나노선의 상온 영역에서의 수소가스 검출 특성 향상)

  • Kang, Wooseung
    • Journal of the Korean institute of surface engineering
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    • v.50 no.2
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    • pp.125-130
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    • 2017
  • ZnO nanowires were synthesized and annealed at various temperatures of $500-800^{\circ}C$ in oxygen atmosphere to investigate hydrogen gas sensing properties. The diameter and length of the synthesized ZnO nanowires were approximately 50-100 nm and a few $10s\;{\mu}m$, respectively. $H_2$ gas sensing performance of the ZnO nanowires sensor was measured with electrical resistance changes caused by $H_2$ gas with a concentration of 0.1-2.0%. The response of ZnO nanowires at room temperature to 2.0% $H_2$ gas is found to be two times enhanced by annealing process in $O_2$ atmosphere at $800^{\circ}C$. In the current study, the effect of heat treatment in $O_2$ atmosphere on the gas sensing performance of ZnO nanowires was studied. And the underlying mechanism for the sensing improvement of the ZnO nanowires was also discussed.

Application of Remote Sensing in Large Scale Irrigation System Management: A Case Study of Teesta Irrigation Project

  • Torii, Kiyoshi;Yoo, K.H.;Bari, Muhammad F.;Naz, Maheen
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1430-1432
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    • 2003
  • Agricultural areas in the north region of Bangladesh suffer from water shortages during the dry season as well as dry spells in the monsoon period. The Teesta Barrage was constructed in 1990 to provide supplemental irrigation water during the monsoon period. After completion of the project high yielding variety of crops were introduced more in the project area. Due to this reason unforeseen needs of irrigation water during the dry season has emerged. This study reviews the current irrigation status and related constraints to a full development of the project and provides suggestions for future improvement of the project. Also suggested is to apply remote sensing technique for the management of the system as a whole. Use of remote sensing technique for the management of irrigation water resources is a new approach in Bangladesh. Application of such a powerful tool will provide better management options for large-scale irrigation projects in the country.

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Application of Compressive Sensing and Statistical Analysis to Condition Monitoring of Rotating Machine (압축센싱과 통계학적 기법을 적용한 회전체 시스템의 상태진단)

  • Lee, Myung Jun;Jeon, Jun Young;Park, Gyuhae;Kang, To;Han, Soon Woo
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.6_spc
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    • pp.651-659
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    • 2016
  • Condition monitoring (CM) encounters a large data problem due to sensors that measure vibration data with a continuous, and sometimes, high sampling rate. In this study, compressive sensing approaches for condition monitoring are proposed to demonstrate the efficiency in handling a large amount of data and to improve the damage detection capability of the current condition monitoring process. Compressive sensing is a novel sensing/sampling paradigm that takes much fewer samples compared to traditional sampling methods. For the experiments a built-in rotating system was used and all data were compressively sampled to obtain compressed data. Optimal signal features were then selected without the reconstruction process and were used to detect and classify damage. The experimental results show that the proposed method could improve the data processing speed and the accuracy of condition monitoring of rotating systems.

Ultra Low Field Sensor Using GMI Effect in NiFe/Cu Wires

  • Kollu, Pratap;Kim, Doung-Young;Kim, Cheol-Gi
    • Journal of Magnetics
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    • v.12 no.1
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    • pp.35-39
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    • 2007
  • A highly sensitive magnetic sensor using the Giant MagnetoImpedance effect has been developed. The sensor performance is studied and estimated. The sensor circuitry consists of a square wave generator (driving source), a sensing element in a form of composite wire of a 25 $\mu$m copper core electrodeposited with a thin layer of soft magnetic material ($Ni_{80}Fe_{20}$), and two amplifier stages for improving the gain, switching mechanism, scaler circuit, an AC power source driving the permeability of the magnetic coating layer of the sensing element into a dynamic state, and a signal pickup LC circuit formed by a pickup coil and an capacitor. Experimental studies on sensor have been carried out to investigate the key parameters in relation to the sensor sensitivity and resolution. The results showed that for high sensitivity and resolution, the frequency and magnitude of the ac driving current through the sensing element each has an optimum value, the resonance frequency of the signal pickup LC circuit should be equal to or twice as the driving frequency on the sensing element, and the anisotropy of the magnetic coating layer of the sensing wire element should be longitudinal.