• Title/Summary/Keyword: Characteristic parameters

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Analytical Methods for the Extraction of PV panel Single-Diode model parameters from I-V Characteristic (I-V 특성곡선을 통한 태양전지 패널의 모델 파라미터 추출 방법)

  • Choi, Sung-Won;Ryu, Ji-Hyung;Lee, Chang-Goo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.2
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    • pp.847-851
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    • 2011
  • Photovoltaic System is increasing install capacity based on environmental-friendly characteristics. It have been actively studied to improve the efficiency. In order to design highly efficient system, it is important to understand the output characteristics of solar panels. The single diode model can represent the physical characteristics of solar panel. But it needs complex process such as mutli-step measurement and numerical analysis to get the exact parameters. In this paper, The method for extracting characteristic parameters of the single diode model based on the I-V characteristic curves in the panel manufacturer's data-sheet is presented. To verify the proposed method, solar cell model constructed in simulink. Simulink model output compared with output graph in datasheet.

Suggestion of the morphological characteristic parameters according to the Lee's physical constitution theory using X-ray computed tomography (X선 CT화상을 이용한 사상체질의 형태학적 특징 파라메타의 제안)

  • Jo, Bong-Kwan;Bae, Jong-Il;Ko, Byung-Hee;Saito, Masao
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.11
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    • pp.13-16
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    • 1993
  • In this paper the morphological characteristic parameters according to the Lee's physical constitution theory are suggested using the X-ray computed tomography. The Lee's physical constitution theory is classify into 4 physical constitutional types by the relative degree of visceral function: those are macro-negative(strong liver- weak lung), micro-negative(strong kidney- weak spleen), micro-positive(strong spleen- weak kidney) and macro-positive(string lung- weak liver). The morphological characteristic parameters are the following. The AA-line is the distance between Rt. & Lt. acupuncture point keug-cheun. The BB-line is the length of lung. The CC-line is the longest width of thorax. The DD-line is the vertical distance between the CC-line and the EE-line. The EE-line is the distance between the Rt. and Lt. anterior superior iliac spines. As the results macro-negative(strong liver-weak lung) has the longest CC-line and the short BB-line. Micro-negative(strong kidney-weak spleen) has the longest EE-line and the short CC-line. Micro-positive(strong spleen-weak kidney) has the longest DD-line and the short BB-line. And macro-positive(strong lung-weak kidney) has the longest BB-line and the short EE-line.

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A new model approach to predict the unloading rock slope displacement behavior based on monitoring data

  • Jiang, Ting;Shen, Zhenzhong;Yang, Meng;Xu, Liqun;Gan, Lei;Cui, Xinbo
    • Structural Engineering and Mechanics
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    • v.67 no.2
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    • pp.105-113
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    • 2018
  • To improve the prediction accuracy of the strong-unloading rock slope performance and obtain the range of variation in the slope displacement, a new displacement time-series prediction model is proposed, called the fuzzy information granulation (FIG)-genetic algorithm (GA)-back propagation neural network (BPNN) model. Initially, a displacement time series is selected as the training samples of the prediction model on the basis of an analysis of the causes of the change in the slope behavior. Then, FIG is executed to partition the series and obtain the characteristic parameters of every partition. Furthermore, the later characteristic parameters are predicted by inputting the earlier characteristic parameters into the GA-BPNN model, where a GA is used to optimize the initial weights and thresholds of the BPNN; in the process, the numbers of input layer nodes, hidden layer nodes, and output layer nodes are determined by a trial method. Finally, the prediction model is evaluated by comparing the measured and predicted values. The model is applied to predict the displacement time series of a strong-unloading rock slope in a hydropower station. The engineering case shows that the FIG-GA-BPNN model can obtain more accurate predicted results and has high engineering application value.

Comparison of the Recriticality Risk of Fast Reactor Cores following a HCDA

  • Na, Byung-Chan;Dohee Hahn
    • Proceedings of the Korean Nuclear Society Conference
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    • 1997.05a
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    • pp.495-501
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    • 1997
  • A preliminary and parametric sensitivity study on recriticality risk of fast reactor cores after a hypothetical total core meltdown accident was performed. Only neutronic aspects of the accident were considered, independent of the accident scenario, and efforts were made to estimate the quantity of molten fuel which must be ejected out of the core to assure a sub-critical state after the accident. Two types of parameters were examined : characteristic parameters of molten core such as geometry, molten pool type (homogenized or stratified), fuel temperature, environment, and relative parameters to normal core such as core size(small or large), and fuel type (oxide, nitride, metal). The first type of parameters was found to intervene more directly in the recriticality risk than the second type of parameters.

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A study on the sensitivity analysis of processing parameters for the laser surface hardening treatment (레이저 표면 경화처리 긍정변수의 민감도 해석에 관한 연구)

  • 이세환;양영수
    • Proceedings of the KWS Conference
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    • 2000.10a
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    • pp.260-263
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    • 2000
  • A methodology is developed and many used to evaluate the response sensitivity of the thermal systems to variations in their design parameters. Technique for computing the sensitivity of temperature distributions to changes in processing parameters needed for deciding the more effective laser input parameters for laser surface hardening treatment are considered. In this study, a state equation governing the heat flow in laser surface treatment is analyzed using a three-dimensional finite element method and sensitivity data of the processing parameter obtained using a direct differentiation method applied for sensitivity analysis. The interesting processing parameter is taken as the laser scan velocity and characteristic beam radius( $r_{b}$) of the sensitivity of the temperature T versus v and $r_{b}$ is analyzed. And these sensitivity results obtained in another parameters are fixed condition. To verifying the numerical analysis results, hardened layer dimensions (width and depth) of the numerical analysis compared with the results of an experimental data.ata.

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A Study on the Parameters and Characteristic of Induction Motor driven by Inverter (인버터로 구동되는 유도전동기의 정수 및 특성에 관한 연구)

  • 전내석;김종윤;오진석;김윤식
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.05a
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    • pp.497-504
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    • 2000
  • This paper presents a method for the equivalent-circuit parameters and torque characteristics calculation of squirrel-cage induction motors. The measurment of motor parameters were calculated by the stator resistance test, the blocked rotor test and no load test through T type equivalent-circuit method. Especially, this paper describes the test results obtained by using hall sensor and strain gage for the current and the torque characteristics of induction motors. 1(HP), three-phase squirrel cage induction motor has been used during the test and the parameters are compared with those obtained by the maker parameters of simulation results and experiment.

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A Classification of lschemic Heart Disease using Neural Network in Magnetocardiogram (심자도에서 신경회로망을 이용한 허혈성 심장질환 분류)

  • Eum, Sang-hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.11
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    • pp.2137-2142
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    • 2016
  • The electrical current generated by heart creates not only electric potential but also a magnetic field. In this study, the signals obtained magnetocardiogram(MCG) using 61 channel superconducting quantum interference device(SQUID) system, and the clinical significance of various feature parameters has been developed MCG. Neural network algorithm was used to perform the classification of ischemic heart disease. The MCG signal was obtained to facilitate the extraction of parameters through a process of pre-processing. The data used to research the normal group 10 and ischemic heart disease group 10 with visible signs of stable angina patients. The available clinical indicators were extracted by characteristic point, characteristic interval parameter, and amplitude ratio parameter. The extracted parameters are determined to analysis the significance and clinical parameters were defined. It is possible to classify ischemic heart disease using the MCG feature parameters as a neural network input.

Fundamental Studies of the Electrical Characteristics of the Glow Discharge for the Development of HPLC Detector (글로우방전을 이용한 액체크로마토그라피 검출기 개발을 위한 기초특성연구)

  • 이현주;김효진
    • YAKHAK HOEJI
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    • v.39 no.4
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    • pp.427-432
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    • 1995
  • The plasma oscillation has been observed in an argon pressure between a tungsten anode and cathode consisting of an aqueous conducting solution. The effects of experimental parameters on the electrical characteristics of the glow discharge have been studied. The experimental parameters include the anode-cathode distance, pressure, methanol flow rate, and cathode materials. The glow discharge with liquid cathode and solid anode showed the potential sensitive detector for HPLC

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A Design of One-Sided Cumulative Scored Control Chart (단방향 누적점수관리도의 설계)

  • 최인수;이윤동
    • Journal of Korean Society for Quality Management
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    • v.26 no.3
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    • pp.31-45
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    • 1998
  • This paper proposes a method of designing one-sided cumulative scored control charts to control the process mean with a normally distributed quality characteristic. The average run length(ARL) is obtained from the average sample number of sequential probability ratio test(SPRT) on trinomial distribution. Using the analogy between cumulative scored control chart and SPRT for trinomial observations, a procedure is presented to determine three control chart parameters; lower and u, pp.r scoring boundaries and action limit. The parameters are determined by minimizing the ARL when the process is out of control with prespecified ARL when the process is in control.

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Low flow Calculation by Stream Morphological Characteristic Parameters in Geum River System (금강수계의 하천형태학적 특성인자에 의한 갈수량 산정)

  • An, Sang-Jin;Yun, Yong-Nam;Gang, Gwan-Won
    • Water for future
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    • v.14 no.1
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    • pp.31-37
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    • 1981
  • It was possible to synthesize the low flow frequency curves for ungauged stations of Geum river system through a correlation analysis using the morphological parameters such as basin area, bnsin relief, total stream length of first-order stream and the 7-day, 10-year low flow.

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