• Title/Summary/Keyword: 최적 신호범위 산출

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Implement of a Remote Solid State Power Controller by DSP (DSP를 이용한 원격전력제어 장치 구현)

  • Jeon, Yeong-Cheol;Lee, Hyuek-Jae;Chong, Won-Yong;Park, Young-Seak
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.5
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    • pp.728-733
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    • 2010
  • The conventional electro-mechanical circuit break and relay are widely used in large-sized DC power system. However, recently due to high reliability, remote controllability and small power dissipation of a RSSPC(Remote Solid State Power Controller), high-friendly DC power systems have increasingly adopted the RSSPC as a essential element. In this paper, we have conducted a mathematical modeling to analyze the performance of the proposed RSSPC system with the optimal signal range for $I^2t$. Based on the calculation, the RSSPC system has been implemented by DSP.

Design of Maximum Green Time Parameters for Traffic Actuated Operation (감응식 신호운영을 위한 최대녹색시간의 설계)

  • KIM, Jin Tae
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.123-134
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    • 2002
  • 감응식 신호운영변수 설계에 관한 연구는 정주기식 신호운영변수 설계의 그것보다 그 수준이 현저히 미비하며 이는 감응식 신호운영 특성을 반영한 평가방법의 부재로 감응식 운영변수의 평가가 불가능하였기 때문이다. 본 논문은 최근에 소개된 평균 감응현시 녹색시간 추정 수리모형을 이용하여 Highway Capacity Manual (HCM) 지체도를 최소화하는 최대녹색시간의 설계방안을 제시한다. - '최소녹색시간'과 '단위연장시간'은 보행자 횡단시간 및 차량 차두시간 등 지역별 운전자/보행자의 특성과 관련이 있어 일반적인 최적화 설계 수리모형의 적용에 무리가 있어 제외한다. 제안된 설계방안은 감응식 운영논리를 토대로 감응현시 군의 평균녹색시간과 평균주기를 산정하며, HCM 지체도를 평가하고, 가능한 대안 중 지체를 최소화하는 최대녹색시간 운영변수 군을 '혼혈 유전자 알고리즘'으로 도출한다. 현장실험을 통해 도출이 불가능한 실제 최적치를 Corridor Simulation(CORSIM)모형을 이용하여 추정하였고 이를 제안된 설계방안으로 도출된 최대녹색시간 운영변수' 값들과 비교하였다. 비교결과 교차로 v/c 비율이 1.0 보다 낮을 시는 제안된 방법을 통해 설계된 최대녹색시간 운영변수 군이 최소 CORSIM 지체도를 산출하는 최대녹색시간 운영변수 군과 동일한 것으로, v/c비율이 1.0보다 높을 시는 다른 것으로 결과되었다. v/c비율이 1.0 보다 높은 경우는 정주기식 교차로 운영에 효율적이라 감응식 운영의 필요를 벗어나므로 제안된 최대녹색시간 설계방안은 감응식 신호운영 필요범위 내에서 효율적이다. 기존의 최대녹색시간 설계는 정수기식 최적녹색시간을 기준으로 최대녹색시간을 추정하며, 그러한 과정을 돕기 위하여 추정범위(설계자가 범위 내에서 임의로 선택함)를 제시하는 것이 기존의 연구임을 비교하면 본 연구에서 제안하고 있는 설계방법의 의미가 크다.

A Study on the Modeling and Simulation Analysis of Rermote Solid State Power Controller (원격전력제어 장치의 모델링 및 시뮬레이션 분석에 대한 연구)

  • Jeon, Yeong Cheol;Lee, Hyuek Jae;Chong, Won Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.461-464
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    • 2009
  • The conventional electro-mechanical circuit break and relay are widely used in large-sized DC power system. However, recently due to high reliability, remote controllability and small power dissipation of a RSPC (Remote Solid State Power Controller), high-friendly DC power systems have increasingly adopted the RSPC as an essential element. In this paper, we have conducted the modeling of a RSPC circuit and the simulation analysis for $I^2t$ curve, respectively.

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Development of an Axially Viewed Inductively Coupled Plasma for Atomic Emission Spectrometry and Comparison between the Detection Limits of Lead (원자방출 분광분석을 위한 수평형 유도결합 플라스마의 개발과 납 검출한계 비교)

  • Cho, Sung Il;Han, Myung Sub;Lee, Sang Hwa;Lee, Joung Hae;Woo, Jin Chun
    • Journal of the Korean Chemical Society
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    • v.41 no.6
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    • pp.292-298
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    • 1997
  • An ICP(Inductively Coupled Plasma) emission spectrometer was developed with an axially viewed ICP source incorporated by a 5-turned induction coil and a torch, outer quartz tube of which was 50 mm longer than that used in conventional ICP/AES(Inductively Coupled Plasma Atomic Emission Spectrometry). The Optimization of the system has been performed in terms of the determination of signal-to-noise ratio and background intensity at various rf powers, sample flow rates, argon gas flow rates and cut-off gas flow rates. The spectro-analytical characteristics of the spectrum obtained between 200 and 500 nm was revealed to be similar compared with a vertically viewed ICP source. The detection limit of Pb(Ⅱ) at 220.35 nm was 11 ppb which was 5 times lower than that obtained with a vertically viewed ICP source.

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The Review of Exposure Index in Digital Radiography and Image Quality (디지털 영상에서 화질관리에 관한 노출지수(EI)의 유용성 연구)

  • Yang, Sook;Han, Jae Bok;Choi, Nam Gil;Lee, Seong Gil
    • Journal of Radiation Protection and Research
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    • v.38 no.1
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    • pp.29-36
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    • 2013
  • The aim of this study was to determine the correlation between exposure index (EI) and dose factors related to radiation dose optimization in digital radiography (DR) system. Two phantoms with built-in regional test object for quantitative assessment of images were used to produce image signals that acquired in chest radiography background. EI and entrane surface dose (ESD) increased proportionally with rise of radiation dose (kVp, mAs) in both DR and CR systems. Especially, DR detector was effective to form good contrast and hence, reached easily to improvement of image quality with minimal dose changes. It made operators possible to expect the accuracy of EI values deeply related to absorbed dose of the detector. The evaluation of images was obtained specially employed calculation of noise to signal ratio (NSR) and contrast to noise ratio (CNR). These measurements were performed for how exposure factors affect image quality. NSR was inversely proportional to kVp and mAs and low NSR represented high signal detection efficiency. Consequently, EI values was the measure of the amount of exposure received by the image receptor and it was proportional to exposure factors. Therefore the EI in a recommended range from manufacturer can offer optimal image quality. Also, continuous monitoring of EI values in the digital radiography can reduce the unnecessary patient dose and help the quality control of the system.

Multi-step Ahead Link Travel Time Prediction using Data Fusion (데이터융합기술을 활용한 다주기 통행시간예측에 관한 연구)

  • Lee, Young-Ihn;Kim, Sung-Hyun;Yoon, Ji-Hyeon
    • Journal of Korean Society of Transportation
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    • v.23 no.4 s.82
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    • pp.71-79
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    • 2005
  • Existing arterial link travel time estimation methods relying on either aggregate point-based or individual section-based traffic data have their inherent limitations. This paper demonstrates the utility of data fusion for improving arterial link travel time estimation. If the data describe traffic conditions, an operator wants to know whether the situations are going better or worse. In addition, some traffic information providing strategies require predictions of what would be the values of traffic variables during the next time period. In such situations, it is necessary to use a prediction algorithm in order to extract the average trends in traffic data or make short-term predictions of the control variables. In this research. a multi-step ahead prediction algorithm using Data fusion was developed to predict a link travel time. The algorithm performance were tested in terms of performance measures such as MAE (Mean Absolute Error), MARE(mean absolute relative error), RMSE (Root Mean Square Error), EC(equality coefficient). The performance of the proposed algorithm was superior to the current one-step ahead prediction algorithm.