• Title/Summary/Keyword: Coefficient Selection

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Optimum Electrode Selection for Measuring Abdominal Pressure using Bio-Impedance Method (생체 임피던스 방법을 이용하여 복압을 측정하기 위한 최적 전극위치 선정)

  • Kim, Keo-Sik;Lee, Sang-Ok;Seo, Jeong-Hwan;Kim, Kyeong-Seop;Song, Chul-Gyu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1339-1342
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    • 2007
  • In this study, we determined the optimum electrode pair for measuring the abdominal pressure using bio-impedance method and compared with conventional methods. Because impedance changes differ from a weight, a height, contractile force, volume of muscle and blood other or whatever of individuals, it was quantified using values of impedance change, correlation coefficient and SNR. Our results showed the optimum electrode pair (1, 9) which could detect impedance changes due to an increase of the intensity of the abdominal pressure. The correlation coefficient and quadratic function between the RMS values of EMG and the impedance changes were 0.87 and $y=0.0014x^2+0.0620x+0.6958$, respectively. It demonstrated that the abdominal pressure could be measured noninvasively and simply using bio-impedance method. We propose that this optimum electrode configuration would be useful for future studies involving the convenient measurement of abdominal pressure by ambulatory urodynamics monitoring study.

Prediction of carbon dioxide emissions based on principal component analysis with regularized extreme learning machine: The case of China

  • Sun, Wei;Sun, Jingyi
    • Environmental Engineering Research
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    • v.22 no.3
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    • pp.302-311
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    • 2017
  • Nowadays, with the burgeoning development of economy, $CO_2$ emissions increase rapidly in China. It has become a common concern to seek effective methods to forecast $CO_2$ emissions and put forward the targeted reduction measures. This paper proposes a novel hybrid model combined principal component analysis (PCA) with regularized extreme learning machine (RELM) to make $CO_2$ emissions prediction based on the data from 1978 to 2014 in China. First eleven variables are selected on the basis of Pearson coefficient test. Partial autocorrelation function (PACF) is utilized to determine the lag phases of historical $CO_2$ emissions so as to improve the rationality of input selection. Then PCA is employed to reduce the dimensionality of the influential factors. Finally RELM is applied to forecast $CO_2$ emissions. According to the modeling results, the proposed model outperforms a single RELM model, extreme learning machine (ELM), back propagation neural network (BPNN), GM(1,1) and Logistic model in terms of errors. Moreover, it can be clearly seen that ELM-based approaches save more computing time than BPNN. Therefore the developed model is a promising technique in terms of forecasting accuracy and computing efficiency for $CO_2$ emission prediction.

Homogeneous characteristics of CdSe quantum dots from absorption coefficient and its change (흡수 계수와 흡수 계수 변화 특성에 따른 CdSe 양자 구슬 구조의 균일성 조사)

  • Hwang, Young-Nam;Shin, Sang-Hoon;Park, Seung-han;Kim, Ung;Kim, Dong-Ho
    • Korean Journal of Optics and Photonics
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    • v.8 no.2
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    • pp.122-127
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    • 1997
  • The hexagonal wurtzite structure of CdSe quantum dots are investigated by X-ray diffraction experiment. The absorption peaks due to quantum confinement effect are observed in the linear absorption spectra. Absorption coefficient changes at the lowest transition are measured with pump wavelength at the lowest transition and at the next higher transition from which direct intraband transition is not allowed. The measured larger absorption changes at the lowest transition confirm that the selection rules of intraband transition resulting from quantum confinement effect are satisfied. From the experimental results, therefore, we concluded that the CdSe quantum dots can be described as homogeneous system.

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Selection of Early Maturing Rice for Duble Cropping before Growing of Alisma plantago

  • Kwon, Byung-Sun;Shim, Jeong-Sik;Choi, Seong-Kyu
    • Plant Resources
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    • v.5 no.2
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    • pp.104-108
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    • 2002
  • In order to obtain basic information for selecting early maturing rice varieties which is suitable for early cropping before Alisma plantago in the southern part of Korea. Six rice varieties were grown from May to August in 2002 at Youngjeon Experiment Field, Sunchon and yield components and yield of plants were investingated. Early maturing rice cv. Grubyeo showed higher rough rice yield than any other varieties used in the experiment. It showed high yield components, such as culm length, panicle length, number of panicles per plant, number of spikelets per panicle and ratio of ripened grains. Therefore, it was concluded that Grubyeo was the most suitable variety with high yield for the cultivation before growing of Alisma plantago at the southern part of Korea. The heritability of culm length number of spikelets per panicle and rough rice yield were high and that of panicle length number of panicle per plant, ratio of ripened grain and 1,000 grain wt. of milled rice were low. According to the result of path coefficient analysis, characters highly correlated with rough rice yield showed large direct effects on rough rice yield.

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Estimation of irrigation supply from agricultural reservoirs based on reservoir storage data

  • Kang, Hansol;An, Hyunuk;Lee, Kwangya
    • Korean Journal of Agricultural Science
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    • v.46 no.4
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    • pp.999-1006
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    • 2019
  • Recently, the quantitative management of agricultural water supply, which is the main source for water consumption in Korea, has become more important due to the effective water management organization of the Korean government. In this study, the estimation method for irrigation supply based on agricultural reservoir storage data was improved compared to previous research, in which drought year selection was unclear, and the outlier data for the rainfall-irrigation supply were not eliminated in the regression analysis. In this study, the drought year was selected by the ratio of annual precipitation to mean annual precipitation and the storage rate observed before the start of irrigation. The outlier data for the rainfall-irrigation supply were eliminated by the Grubbs & Beck test. The proposed method was applied to nine agricultural reservoirs for validation. As a result, the ratio of annual precipitation to mean annual precipitation is less than 53% and the storage rate observed before the start of irrigation is less than 55% it was judged to be the drought year. In addition, the drought supply factor, K, was found to be 0.70 on average, showing closer results to the observed reservoir rates. This shows that water management at the real is appling drought year practice. It was shown that the performance of the proposed method was satisfactory with NSE (Nash-Sutcliffe model efficiency coefficient) and R2 (coefficient of determiniation) except for a few cases.

Quantitative Evaluation of Scratch Related Tool Life for Stamping of UHSS Using Pin-on-Flat Surface Test (Pin-on-Flat Surface Test를 이용한 초고장력강판 스탬핑 금형의 정량적 스크래치 수명평가)

  • Choi, H.S.;Kim, S.G.;Kim, B.M.;Ko, D.C.
    • Transactions of Materials Processing
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    • v.22 no.2
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    • pp.86-92
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    • 2013
  • When stamping ultra-high-strength steel (UHSS), the phenomenon of galling, which corresponds to a transfer of material from the sheet to the tool surface, occurs because of the high contact pressure between tool and workpiece. Galling leads to increased friction, unstable interface conditions, scratches on the sheet and the tool surfaces and, eventually, premature tool surface failures. Therefore, a simple and accurate evaluation method for tool scratching is necessary for the selection of tool material and coating, as well as for a better optimization of process conditions such as blank holder force and die radius. In this study, the pin-on-disc (PODT) and pin-on-flat surface (POFST) tests are conducted to quantitatively evaluate scratch-related tool life for stamping of UHSS. The variation of the friction coefficient is used as an indicator of scratch resulted from galling. The U-channel ironing test (UCIT) is performed in order to validate the results of the friction tests. This study shows that the POFST test provides a good quantitative estimation of tool life based on the occurrence of scratch.

Spectral Weighted-Sum-of-Gray-Gases Modeling of Narrow Band for Prediction of Radiative Heat Transfer Induced from Liquid Engine Plume (액체 엔진 플룸 복사 열전달 예측을 위한 파장별 회체가스 중합법의 좁은밴드 적용)

  • Ko, Ju-Yong;kim, In-Sun
    • Aerospace Engineering and Technology
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    • v.8 no.1
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    • pp.17-25
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    • 2009
  • The precise calculation of gas absorption coefficient in the radiative transfer equation is very important to the prediction of radiative heat transfer induced from liquid engine plume in view of base insulation design. For this purpose, the WNB model for gas absorption coefficient is described with the selection of important parameters and then the calculated results are compared with those of SNB model for validation. Total emissivity, narrow band averaged intensity and total intensity are calculated and compared to the results of SNB model. As results, the total emissivity and the total intensity are well matched within 3.1% and roughly 5 % error, respectively. Moreover, the gas modeling database is constructed with estimation of the combustion gas composition of $CO_2$ and $H_2O$ for liquid engine plume.

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Prediction of Mechanical Behavior for Carbon Black Added Natural Rubber Using Hyperelastic Constitutive Model

  • Kim, Beomkeun
    • Elastomers and Composites
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    • v.51 no.4
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    • pp.308-316
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    • 2016
  • The rubber materials are widely used in automobile industry due to their capability of a large amount of elastic deformation under a force. Current trend of design process requires prediction of functional properties of parts at early stage. The behavior of rubber material can be modeled using strain energy density function. In this study, five different strain energy density functions - Neo-Hookean model, Reduced Polynomial $2^{nd}$ model, Ogden $3^{rd}$ model, Arruda Boyce model and Van der Waals model - were used to estimate the behavior of carbon black added natural rubber under uniaxial load. Two kinds of tests - uniaxial tension test and biaxial tension test - were performed and used to correlate the coefficients of the strain energy density function. Numerical simulations were carried out using finite element analysis and compared with experimental results. Simulation revealed that Ogden $3^{rd}$ model predicted the behavior of carbon added natural rubber under uniaxial load regardless of experimental data selection for coefficient correlation. However, Reduced Polynomial $2^{nd}$, Ogden $3^{rd}$, and Van der Waals with uniaxial tension test and biaxial tension test data selected for coefficient correlation showed close estimation of behavior of biaxial tension test. Reduced Polynomial $2^{nd}$ model predicted the behavior of biaxial tension test most closely.

Relationship between RCOF Calculated from the Results of Gait Analysis and CSR Measured Using O-Y·PSM (O-Y·PSM에 의한 CSR과 보행분석에 의한 RCOF와의 관계)

  • Roh, Yong-Woon;Choi, Soo-Kyung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.05a
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    • pp.59-61
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    • 2013
  • The purpose of this study was to present the necessary data concerning the selection and development of floor-coverings in view of slipperiness by comparing the relationship between CSR measured with O-Y·PSM and RCOF calculated from the result of gait analysis. CSR was calculated from maximum tensile load(Pmax) divided by perpendicular load(785N) when pulled 18 degrees upward the moment the bottom of the slip piece contacted the surface of the test piece. RCOF was calculated based on Fy/Fz from when horizontal load reached the maximum point within the sections from the moment the front of outsole touched the test piece to when pulled off the test piece. The results from the research were as follows: (1) Range of CSR was 0.15-1.02, which meant the differences of slipperiness of the test pieces definitely showed up. (2) RCOF are inadequate to express the characteristic about the slipperiness of the floors, since there were no differences between the test pieces.

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Multi-Channel Active Noise Control System Designs using Fuzzy Logic Stabilized Algorithms (퍼지논리 안정화알고리즘을 이용한 다중채널 능동소음제어시스템)

  • Ahn, Dong-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.8
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    • pp.3647-3653
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    • 2012
  • In active noise control filter, IIR filter structure which used for control filter assures the stability property. The stability characteristics of IIR filter structure is mainly determined by pole location of control filter within unit disc, so stable selection of the value of control filter coefficient is very important. In this paper, we proposed novel adaptive stabilized Filtered_U LMS algorithms with IIR filter structure which has better convergence speed and less computational burden than conventional FIR structures, for multi-channel active noise control with vehicle enclosure signal case. For better convergence speed in adaptive algorithms, fuzzy LMS algorithms where convergence coefficient computed by a fuzzy PI type controller was proposed.