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On the Effects of Electric Noise due to the Slits in the PCB Power-Distribution Network with the Differential-Mode Signaling using a Rigorous Modal Analysis Method (정확한 모드해석방법을 이용한 차동모드 급전을 가지는 PCB 전력공급회로에서의 슬릿에 의한 전기잡음의 영향 연구)

  • Kahng, Sung-Tek
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.11
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    • pp.1988-1991
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    • 2007
  • This study investigates the performances of the signaling techniques including differential signals for the power-distribution network(PDN)s with and without the slit, using a rigorous evaluation method 'Modal Analysis', validated by being compared to the FDTD simulation up to 5 GHz.

The software development for high power testing (전력시험용 소프트웨어 개발)

  • Yun, Ji-Ho;Kim, Geun-Young;Ryu, Jae-Nam;Kim, Young-Ho
    • Proceedings of the KIEE Conference
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    • 2003.11a
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    • pp.303-305
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    • 2003
  • 각종 전력기기들에 대한 국내외 규격시험을 성공적으로 수행하기 위해서는, 측정시스템의 구축뿐만 아니라 측정결과에 대한 신뢰성을 제공하고 시험을 효율적으로 수행할 수 있는 전용 소프트웨어의 개발이 필요하다. LG산전 전력시험기술센터(PT&T)는 이러한 목적을 위해 전력시험 전용 소프트웨어를 개발하고, 부속 기능인 API 함수를 이용해 퓨즈시험 전용 프로그램 모듈들을 개발하였다. 본 논문에서는 개발된 소프트웨어의 특징을 소개하고자 한다.

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New Records of Three Yponomeutine Moths (Lepidoptera: Yponomeutidae) from Korea

  • Sohn, Jae-Cheon;Park, Kyu-Tek;Cho, Soo-Won
    • Animal Systematics, Evolution and Diversity
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    • v.26 no.2
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    • pp.153-156
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    • 2010
  • Two species of Yponomeutinae new to Korea, Euhyponomeutoides trachydeltus (Meyrick) and Thecobathra anas (Stringer), are reported. In addition, occurrence of Yponomeuta anatolicus (Stringer) in Korea is confirmed with proper collection of data. The adults and genitalia for the three species are illustrated.

Compensation Scheme of Effect of Hall Sensor Misalignment for BLDC Motors (BLDC 모터의 홀센서 정렬 오차 보상 기법)

  • Park, Do-Hyeon;Lee, Dong-Choon;Lee, Hyong-Gun
    • Proceedings of the KIPE Conference
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    • 2016.11a
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    • pp.49-50
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    • 2016
  • 본 논문에서는 BLDC 모터의 홀 센서의 정렬 오차를 검출하고 보상하는 기법을 제안한다. 합성된 홀 센서 신호를 이용하여 고조파 분석을 수행하여 기본파 성분의 크기를 획득한다. 오차가 없는 경우의 기본파 성분의 크기와 비교하여 정렬 오차각을 검출하고 보상한다.

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Six Species of the Family Noctuidae (Lepidoptera) New to China

  • Han, Hui-Lin;Kononenko, V.;Byun, Bong-Kyu;Park, Kyu-Tek
    • Animal Systematics, Evolution and Diversity
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    • v.22 no.2
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    • pp.139-143
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    • 2006
  • From the result of this study for the materials collected in Mt. Changbai-shan, six species of the family Noctuidae, Pangrapta marmorata Staudinger, P. griseola Staudinger, Ctenostola sparganoides (Bang-Haas), Cucullia amota Alpheraky, Xestia albonigra (Kononenko), and X. speciosa $(H\ddot{u}bner)$, are reported for the first time from China.

Signl processing method and diagnostic algorithm for arterial oxygen-saturation measument (산소포화도 측정을 위한 신호처리방법 및 계산 알고리즘)

  • 김수진;황돈연;전계진;이종연;정성규;윤길원
    • Korean Journal of Optics and Photonics
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    • v.11 no.6
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    • pp.452-456
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    • 2000
  • A measurement unit and signal processing algorithm have been developed for predicting arterial oxygen saturation noninvasively. The measurement set-up was composed of a probe including light source and photodetector, optical signal processing section, LED driving circuit, PC interface software for data acquisition and data processing software. Light from the LED's was irradiated onto the finger nail bed and transmitted light was measured at different wavelengths. An effective baseline correction method was developed and measured data were analyzed by using various data processing methods and prediction algOlithms. For performance evaluation, a pulse oximeter simulator (Bio- Tek Instrument Inc.) was used as reference. The best performance in terms of the correlation coefficient and the standard deviation was obtained under the following conditions; when the arterial signals were computed in terms of area rather than peak-valley difference, and when the algorithm calculating by $In(I_p/I_v)/I_{avr}$ value for pulsation waveform was used. In in vivo test, prediction was improved when the developed baseline correction method was used. In addition, wavelengths of 660 nm and 940 nm provided better linearity and precision than wavelengths of 660 nm and 805 nm. 05 nm.

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Study on the Effect of Membrane Module Configuration on Pervaporative Performance through Model Simulation (모델모사를 이용한 막모듈 연결 및 배열이 투과증발 막성능에 끼치는 영향에 관한 연구)

  • Yeom, Choong-Kyun;Yoon, Seok-Bok;Park, You-In
    • Membrane Journal
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    • v.18 no.4
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    • pp.294-305
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    • 2008
  • This study was focused on the investigation of the effects of membrane module configuration and the temperature of feed retentate flowing along with module length on membrane performance through model simulation. A simulation model of pervaporative dehydration through membrane module assemble in which a number of unit modules are connected in parallel or in series has been established. In this study, ethanol/water mixture was used as model mixture. Some of permeation parameters in the model were quantified directly from the real dehydration pervaporation of ethanol through a lab-made membrane. By adopting the coefficients determined empirically the simulation model could be of more practical value. The simulation of pervaporation with two basic module configurations, that is, parallel connection and series connection, could present the importance of process parameters such as feed rate, module connection mode, number of stages, and inter-stage heating.

Model of Remote Service and Intelligent Fault Diagnosis for CNC Machine Tool (공작기계의 지능형 고장진단과 원격 서비스 모델)

  • Kim, Sun-Ho;Kim, Dong-Hoon;Han, Gi-Sang;Kim, Chan-Bong
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.4
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    • pp.168-178
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    • 2002
  • The CNC machine toots has two kinds of fault. One is the fault due to degraded parts and the other is the fault due to operation disability. The phenomena of degradation is predictable but the operational fault is unpredictable because it occurred without any warning. The major faults of CNC machine tool are operational faults which are charged over 70%. This paper describes the model of remote service and the intelligent fault diagnosis system to diagnosis operational faults of CNC machine tools. To generalize fault diagnosis, two diagnosis models such as SF(Switching Function) and SSF(Step Switching Function) are proposed. The SF is static model and SSF is dynamic model for expression of fault. The SF and SSF model can be generated using SFG(Switching Function Generator) which is developed in this research. The three major operational faults such as emergency stop error, cycle start disability and machine ready disability are applied to experiment of fault modeling. To remote service of faults fur CNC machine tool, the web server and client system based internet are proposed as the suitable environment. The developed two technologies are implemented with the internal function of open architecture controller. The implemental results for two technologies are presented to validate the proposed scheme.

Analysis of Toxic Heavy Meatals using Hybrid Neural Network in Glow Discharge Atomic Emission Spectroscoy (글로우 방전 원자방출에서의 Hybrid Neural Network를 이용한 유해 중금속 분석)

  • Lee, J.S.;Lee, S.C.;Choi, K.S.;Kim, Y.S.;So, S.H.;Ha, K.J.;Ryu, D.H.;Cho, T.H.;Jung, M.S.
    • Analytical Science and Technology
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    • v.15 no.5
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    • pp.399-409
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    • 2002
  • A system software on-line spectral analysis of atomic emission spectrometer. The system program consisted of a control part for the optical instruments and the spectrum analysis part the artificial intelligence method to reduce nonlinear error of the wavelengths. McPHERSON 207 Monochromator controlled GPIB communication protocol, and the detector signal was measured from PMT by using A/D Amplifier that was made by Photon_Tek. co.. HNN(Hybrid Neural Network) of artificial intelligence technique was applied to the qualitative analysis of P, Cu, Fe, Cr, and that was accurately applied to the quantitative analysis of Cd with 10 ppb level better than the conventional methods.