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Journal articles on the topic 'Curve fitting technique'

Author: Grafiati

Published: 14 April 2023

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1

Rajan, T. S., and S. Narayanaswamy. "A novel curve fitting technique applied to drying curves." Canadian Journal of Chemical Engineering 64, no. 6 (1986): 1033–34. http://dx.doi.org/10.1002/cjce.5450640624.

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2

Damos, Diane L. "Determining Transfer of Training Using Curve Fitting." Proceedings of the Human Factors Society Annual Meeting 32, no. 18 (1988): 1276–79. http://dx.doi.org/10.1177/154193128803201818.

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The purpose of this paper is to demonstrate the measurement of learning and transfer using a curve-fitting technique discussed in a 1985 Human Factors article by Spears. The data were collected during an experiment that determined if rotation skills could become automated with practice and if the skills could transfer between stimuli. The dependent variables of interest were the slope and intercept of the regression equation relating correct reaction time and degrees of rotation. Curve fitting was accomplished using a common statistical package, BMDP, and an IBM-XT. The curve-fitting technique

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3

Zehr, E. P., and M. Klimstra. "The reliability of a curve fitting technique for Hoffmann-reflex recruitment curve analysis." Journal of Biomechanics 39 (January 2006): S483—S484. http://dx.doi.org/10.1016/s0021-9290(06)84975-4.

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4

Motlagh, O., S. H. Tang, M. N. Maslan, Fairul Azni Jafar, and Maslita A. Aziz. "A novel graph computation technique for multi-dimensional curve fitting." Connection Science 25, no. 2-3 (2013): 129–38. http://dx.doi.org/10.1080/09540091.2013.851173.

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5

Hsieh, Hsun-Chang, and Wen-Tong Chang. "Virtual knot technique for curve fitting of rapidly varying data." Computer Aided Geometric Design 11, no. 1 (1994): 71–95. http://dx.doi.org/10.1016/0167-8396(94)90025-6.

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6

Hyun, Seokjeong, and Cheol Kim. "An efficient shape-preserving curve fitting technique for complex structures." Communications in Numerical Methods in Engineering 20, no. 9 (2004): 737–46. http://dx.doi.org/10.1002/cnm.693.

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7

Xianping, Tu, Lei Xianqing, Ma Wensuo, Wang Xiaoyi, Hu Luqing, and Zuo Xiaolin. "The minimum zone fitting and error evaluation for the logarithmic curve based on geometry optimization approximation algorithm." Transactions of the Institute of Measurement and Control 41, no. 15 (2019): 4380–86. http://dx.doi.org/10.1177/0142331219858855.

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The minimum zone fitting and error evaluation for the logarithmic curve has important applications. Based on geometry optimization approximation algorithm whilst considering geometric characteristics of logarithmic curves, a new fitting and error evaluation method for the logarithmic curve is presented. To this end, two feature points, to serve as reference, are chosen either from those located on the least squares logarithmic curve or from amongst measurement points. Four auxiliary points surrounding each of the two reference points are then arranged to resemble vertices of a square. Subseque

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Ray, Aditi, Joydipta Banerjee, T. R. G. Kutty, Arun Kumar, and Srikumar Banerjee. "Construction of master sintering curve of ThO2 pellets using optimization technique." Science of Sintering 44, no. 2 (2012): 147–60. http://dx.doi.org/10.2298/sos1202147r.

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Sintering kinetics and densification behavior of pure ThO2 have been studied using high temperature dilatometer experiments at constant rate of heating. Sintering activation energy has been determined by Wang and Raj method. Master sintering curve (MSC) for densification is a functional sintering model that describes densification under arbitrary time temperature excursion of a particular material during sintering. MSC for pure ThO2 has been constructed by fitting experimental relative density versus work of sintering data with modified sigmoid function. Five independent parameters of the fitt

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9

Holler, Farida, David H. Burns, and James B. Callis. "Direct Use of Second Derivatives in Curve-Fitting Procedures." Applied Spectroscopy 43, no. 5 (1989): 877–82. http://dx.doi.org/10.1366/0003702894202292.

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Most curve-fitting procedures deal with an unknown, variable baseline by modeling it with a function involving a number of parameters. In view of the facts that (1) there is often no analytically relevant information in the baseline, and (2) there is usually no functional form known, a priori, for the baseline, we have chosen to eliminate it by means of the second-derivative transformation. The resulting profile is deconvoluted by fitting it with the second derivative of the sum of an appropriate number of component curves. The utility of this procedure is demonstrated on simulated data with t

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10

Tang, Xiao-Ming, Chen Li, and Douglas J. Patterson. "A curve-fitting technique for determining dispersion characteristics of guided elastic waves." GEOPHYSICS 75, no. 3 (2010): E153—E160. http://dx.doi.org/10.1190/1.3420736.

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We have developed a novel curve-fitting method to estimate dispersion characteristics of guided elastic waves and investigate its application to field wireline and logging while drilling (LWD) acoustic data processing. In an elastic waveguide such as a fluid-filled borehole with a logging tool, the frequency dispersion of a guided-wave mode is characterized by a monotonically varying dispersion curve bounded by its low- and high-frequency limits. The detailed behavior of the curves relates to various elastic/acoustic parameters of the complicated waveguide structure. The novelty of the propose

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11

Chen, Hung Jen, and Hao En Chueh. "Applying Real-Valued Genetic Algorithm on Curve Fitting Problem." Advanced Materials Research 121-122 (June 2010): 183–87. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.183.

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Curve fitting refers to the process of finding an appropriate function that fits a finite set of data points. Representing a set of data points by a function is quite beneficial in data analysis and reapplication, and this technique is often used in engineering and technical problems. Fitting accuracy and computational time are usually the most crucial factors to be taken care of in curve fitting problems. Previous researchers have demonstrated that genetic algorithms can effectively solve curve fitting problems, but the difficulty of parameter coding is also widely encountered in computationa

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12

Chan, T. F. "Determination of the Torque-Speed Characteristic of an Induction Motor Using a Curve-Fitting Technique." International Journal of Electrical Engineering & Education 30, no. 4 (1993): 360–65. http://dx.doi.org/10.1177/002072099303000410.

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Determination of the torque-speed characteristic of an induction motor using a curve-fitting technique This paper describes the use of a curve-fitting technique to deduce the nominal torque-speed characteristic of a three-phase induction motor from the speed data obtained in a no-load acceleration test. Experimental results show that the fitted curve is reasonably close to the torque-speed characteristic obtained from an actual load test.

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13

Soliman, S. A., G. S. Christensen, and A. Rouhi. "A new technique for curve fitting based on minimum absolute deviations." Computational Statistics & Data Analysis 6, no. 4 (1988): 341–51. http://dx.doi.org/10.1016/0167-9473(88)90074-6.

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14

Niu, Chun Hui, and Yong Lv. "Chromatic Confocal Displacement Measurment Based on Correlation Algorithm." Applied Mechanics and Materials 446-447 (November 2013): 909–14. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.909.

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Chromatic confocal technique application in displacement measurement is studied theoretically and experimentally. a set of refractive lenses are designed and a measurement system is established. Correlation fitting method is proposed to fit spectrum curve and find peak wavelength. Results with use of correlation fitting method are compared with Gaussian and smoothing spline fitting methods. It indicate that correlation fitting method have higher extracting accuracy of peak wavelength and smaller RMSE of linear fitting due to narrower and smoother correlation curve.

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15

Bingi, Kishore, Rosdiazli Ibrahim, Mohd Noh Karsiti, Sabo Miya Hassam, and Vivekananda Rajah Harindran. "Frequency Response Based Curve Fitting Approximation of Fractional–Order PID Controllers." International Journal of Applied Mathematics and Computer Science 29, no. 2 (2019): 311–26. http://dx.doi.org/10.2478/amcs-2019-0023.

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Abstract Fractional-order PID (FOPID) controllers have been used extensively in many control applications to achieve robust control performance. To implement these controllers, curve fitting approximation techniques are widely employed to obtain integer-order approximation of FOPID. The most popular and widely used approximation techniques include the Oustaloup, Matsuda and Cheraff approaches. However, these methods are unable to achieve the best approximation due to the limitation in the desired frequency range. Thus, this paper proposes a simple curve fitting based integer-order approximatio

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16

Kalnicky, Dennis J. "A Combined Fundamental Alphas/Curve Fitting Algorithm for Routine XRF Sample Analysis." Advances in X-ray Analysis 29 (1985): 451–60. http://dx.doi.org/10.1154/s0376030800010570.

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AbstractAnalysis of sample composition and/or thickness in a routine, process-control or monitoring environment generally requires rapid turn-around time with minimal sample handling. X-ray Fluorescence (XRF) is well-suited for these kinds of analyses and has been applied to various bulk and thin sample applications (1-7). This technique is rapid, precise, non-destructive, and requires minimal sample handling.X-ray Fluorescence is generally considered a secondary analysis technique, that is, instrumentation must be calibrated using known standards before unknown samples may be analyzed (quanti

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17

Balamesh, Ahmed S., and Ali M. Rushdi. "Atomic Formulation of the Boolean Curve Fitting Problem." International Journal of Mathematical, Engineering and Management Sciences 7, no. 5 (2022): 670–780. http://dx.doi.org/10.33889/ijmems.2022.7.5.044.

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Boolean curve fitting is the process of finding a Boolean function that takes given values at certain points in its Boolean domain. The problem boils down to solving a set of ‘big’ Boolean equations that may or may not be consistent. The usual formulation of the Boolean curve fitting problem is quite complicated, indeed. In this paper, we formulate the Boolean curve fitting problem using the technique of atomic decomposition of Boolean equations. This converts the problem into a set of independent switching equations. We present the solution of these switching equations and express the solutio

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18

Gavin, H. P., R. D. Hanson, and F. E. Filisko. "Electrorheological Dampers, Part II: Testing and Modeling." Journal of Applied Mechanics 63, no. 3 (1996): 676–82. http://dx.doi.org/10.1115/1.2823349.

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Electrorheological (ER) materials develop yield stresses on the order of 5–10 kPa in the presence of strong electric fields. Viscoelastic and yielding material properties can be modulated within milli-seconds. An analysis of flowing ER materials in the limiting case of fully developed steady flow results in simple approximations for use in design. Small-scale experiments show that these design equations can be applied to designing devices in which the flow is unsteady. More exact models of ER device behavior can be determined using curve-fitting techniques in multiple dimensions. A previously

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19

Daud, Hanita, Radzuan Razali, M. Ridhwan O. Zaki, and Afza Shafie. "Curve Fitting Using Logarithmic Function for Sea Bed Logging Data." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7448–54. http://dx.doi.org/10.1166/jctn.2016.5738.

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The aim of this research work is to conduct curve fitting using mathematical equations that relate location of the hydrocarbon (HC) at different depths to different frequencies. COMSOL MultiPhysics software was used to generate models of the seabed logging technique which consists of air, sea water, and sediment and HC layer. Seabed Logging (SBL) is a technique to find the resistive layers under seabed by transmitting low frequency of EM waves through sea water and sediment. As HC is known to have high resistivity which is about 30–500 Ωm, EM waves will be guided and reflected back and detecte

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20

Su, Z. H., J. Gan, Q. K. Yu, Q. H. Zhang, Z. H. Liu, and J. M. Bao. "High-resolution fiber optic temperature sensors using nonlinear spectral curve fitting technique." Review of Scientific Instruments 84, no. 4 (2013): 045002. http://dx.doi.org/10.1063/1.4802684.

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21

Soliman, S. A., and G. S. Christensen. "Digital Analysis of Power Systems Dynamic Oscillation Using a Curve Fitting Technique." Electric Machines & Power Systems 20, no. 4 (1992): 309–20. http://dx.doi.org/10.1080/07313569208909596.

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22

Pattanadech, Norasage, and Peerawut Yutthagowith. "Fast curve fitting algorithm for parameter evaluation in lightning impulse test technique." IEEE Transactions on Dielectrics and Electrical Insulation 22, no. 5 (2015): 2931–36. http://dx.doi.org/10.1109/tdei.2015.005165.

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23

Ding, Lei, Wen-De Zhong, Chao Lu, and Yixin Wang. "New bit-error-rate monitoring technique based on histograms and curve fitting." Optics Express 12, no. 11 (2004): 2507. http://dx.doi.org/10.1364/opex.12.002507.

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24

Kohl, Alexandra S., Adriana Bastos Conforto, Werner J. Z’Graggen, and Alain Kaelin-Lang. "An integrative transcranial magnetic stimulation mapping technique using non-linear curve fitting." Journal of Neuroscience Methods 157, no. 2 (2006): 278–84. http://dx.doi.org/10.1016/j.jneumeth.2006.04.018.

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25

Yang, Jin-long, Peng Li, and Hong-wei Ge. "Extended Target Shape Estimation by Fitting B-Spline Curve." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/741892.

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Taking into account the difficulty of shape estimation for the extended targets, a novel algorithm is proposed by fitting the B-spline curve. For the single extended target tracking, the multiple frame statistic technique is introduced to construct the pseudomeasurement sets and the control points are selected to form the B-spline curve. Then the shapes of the extended targets are extracted under the Bayes framework. Furthermore, the proposed shape estimation algorithm is modified suitably and combined with the probability hypothesis density (PHD) filter for multiple extended target tracking.

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26

Pearson, G. W. "Precise Calendrical Dating of Known Growth-Period Samples Using a ‘Curve Fitting’ Technique." Radiocarbon 28, no. 2A (1986): 292–99. http://dx.doi.org/10.1017/s0033822200007396.

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Absolute high-precision radiocarbon time-scale calibration is now available and is shown by Stuiver and Pearson (1986) and Pearson and Stuiver (1986) to be internationally valid. The technique of curve fitting presented in this paper shows how certain samples may be dated calendrically to within a very narrow band width ca ± 20 years, at time periods when single sample analysis would give ambiguous calendrical conversion. Samples of known deposition rate covering a time span of >50 years are subdivided to produce a ‘floating curve’ and this curve is then ‘wiggle matched’ with the high-preci

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27

Solís, Mario, Mario Algaba, and Pedro Galvín. "Crack Location in Beams Using Wavelet Analysis." Key Engineering Materials 569-570 (July 2013): 1021–28. http://dx.doi.org/10.4028/www.scientific.net/kem.569-570.1021.

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This paper applies a methodology for damage detection in beams proposed by the authors. The methodology is based on a continuous wavelet analysis of the difference of mode shapes between a damaged state and a reference state. The wavelet transform is used to detect changes in the mode shapes induced by damage. The wavelet coefficients for each mode are added up and normalized to unity in order to obtain a clear and precise damage assessment. A curve fitting approach reduces the effect of experimental noise in the mode shapes. When only a small number of measuring points are available, a cubic

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28

SHIN, HYUNG-SEOP, JONG-SEO PARK, and HAE-MOO LEE. "CURVE FITTING IN THE TRANSITION REGION OF CHARPY IMPACT DATA." International Journal of Modern Physics B 22, no. 09n11 (2008): 1496–503. http://dx.doi.org/10.1142/s0217979208046980.

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The toughness data obtained from Charpy impact tests are presented by a temperature-energy relationship. Data fitting for quantitative evaluation of the transition temperature, upper shelf energy and ductile-brittle transition, in other words, the representation with general mathematical model equation for energy variation according to the temperature is necessary. In this study, the Charpy impact tests to two representative steels were carried out as a research work for the material property standardization technique development. The fitting procedure of the scattering in data according to ma

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29

Hosseini, S. Abolfazl, and Hassan Ghassemian. "Hyperspectral Data Feature Extraction Using Rational Function Curve Fitting." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 01 (2015): 1650001. http://dx.doi.org/10.1142/s0218001416500014.

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A feature reduction technique is proposed for the hyperspectral (HS) data classification problem. The new features have been developed through a curve fitting step which fits specific rational function approximations to every spectral response curve (SRC) of HS image pixels. Then, the coefficients of the numerator and denominator polynomials of these fitted functions are considered as new extracted features. The method concentrates on the geometrical nature of SRCs and is utilizing the information that exists in sequence discipline — ordinance of reflectance coefficients in SRC — which has not

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Speakman, J. R., and P. A. Racey. "Measurement of CO2 production by the doubly labeled water technique." Journal of Applied Physiology 61, no. 3 (1986): 1200–1202. http://dx.doi.org/10.1152/jappl.1986.61.3.1200.

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Recent applications of the doubly labeled water technique to the study of human metabolism have employed multiple sampling of body water over protracted periods, rather than the more traditional method of taking only an initial and final sample for isotopic analysis. In addition fractional turnovers of the body pools have been estimated by fitting curves to the sequential log-converted isotope enrichment against time. By manipulation of data collected in the field in a study of metabolism of vespertilionid bats, it is shown the curve-fitting technique results in an accurate estimate of CO2 pro

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31

Zaman, Mohammad Asif, and Shuvro Chowdhury. "Modified Bézier Curves with Shape-Preserving Characteristics Using Differential Evolution Optimization Algorithm." Advances in Numerical Analysis 2013 (March 13, 2013): 1–8. http://dx.doi.org/10.1155/2013/858279.

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A parametric equation for a modified Bézier curve is proposed for curve fitting applications. The proposed equation contains shaping parameters to adjust the shape of the fitted curve. This flexibility of shape control is expected to produce a curve which is capable of following any sets of discrete data points. A Differential Evolution (DE) optimization based technique is proposed to find the optimum value of these shaping parameters. The optimality of the fitted curve is defined in terms of some proposed cost parameters. These parameters are defined based on sum of squares errors. Numerical

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32

Miah, Mohammad Badrul Alam, Suryanti Awang, Md Mustafizur Rahman, A. S. M. Sanwar Hosen, and In-Ho Ra. "A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles." Electronics 11, no. 17 (2022): 2773. http://dx.doi.org/10.3390/electronics11172773.

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Automated keyphrase extraction is crucial for extracting and summarizing relevant information from a variety of publications in multiple domains. However, the extraction of good-quality keyphrases and the summarising of information to a good standard have become extremely challenging in recent research because of the advancement of technology and the exponential development of digital sources and textual information. Because of this, the usage of keyphrase features for keyphrase extraction techniques has recently gained tremendous popularity. This paper proposed a new unsupervised region-based

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33

Ashok, S. Denis, and G. L. Samuel. "Least square curve fitting technique for processing time sampled high speed spindle data." International Journal of Manufacturing Research 6, no. 3 (2011): 256. http://dx.doi.org/10.1504/ijmr.2011.041129.

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34

Lu, S. H., and J. R. Selman. "Kinetics of Hydrogen Oxidation in Molten Carbonate: Application of Computer Curve‐Fitting Technique." Journal of The Electrochemical Society 136, no. 4 (1989): 1068–74. http://dx.doi.org/10.1149/1.2096786.

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35

Wan, Xiangkui, Yan Li, Chong Xia, Minghu Wu, Jin Liang, and Na Wang. "A T-wave alternans assessment method based on least squares curve fitting technique." Measurement 86 (May 2016): 93–100. http://dx.doi.org/10.1016/j.measurement.2016.01.046.

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36

Pan, Yaxi, and Jian Dong. "Design and Optimization of an Ultrathin and Broadband Polarization-Insensitive Fractal FSS Using the Improved Bacteria Foraging Optimization Algorithm and Curve Fitting." Nanomaterials 13, no. 1 (2023): 191. http://dx.doi.org/10.3390/nano13010191.

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A frequency-selective surface (FSS) optimization method combining a curve-fitting technique and an improved bacterial foraging optimization (IBFO) algorithm is proposed. In the method, novel Koch curve-like FSS and Minkowski fractal islands FSS were designed with a desired resonance center frequency and bandwidth. The bacteria foraging optimization (BFO) algorithm is improved to enhance the performance of the FSS. A curve-fitting technique is provided to allow an intuitive and numerical analysis of the correspondence between the FSS structural parameters and the frequency response. The curve-f

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37

Krepelka, Pavel, Iveta Hynstova, Roman Pytel, Fernando Pérez-Rodríguez, Jean-Michel Roger, and Petr Drexler. "Curve fitting in Fourier transform near infrared spectroscopy used for the analysis of bacterial cells." Journal of Near Infrared Spectroscopy 25, no. 3 (2017): 151–64. http://dx.doi.org/10.1177/0967033517705032.

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Infrared spectroscopy is a prominent molecular technique for bacterial analysis. Within its context, near infrared spectroscopy in particular brings benefits over other vibrational approaches; these advantages include, for example, lower sensitivity to water, high penetration depth and low cost. However, near infrared spectroscopy is not popular within microbiology, because the spectra of organic samples are difficult to interpret. We propose a comparison of spectral curve-fitting methods, namely, techniques that facilitate the interpretation of most peaks, simplify the spectra and improve the

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38

Tan, Wen Jia, Jen Feng Khor, Lloyd Ling, and Yuk Feng Huang. "Exploratory Research of New Curve Number System." E3S Web of Conferences 65 (2018): 07005. http://dx.doi.org/10.1051/e3sconf/20186507005.

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In the past, the CN was determined through SCS handbook. In order to determine runoff prediction using SCS-CN model, selection of CN is important. However, the conventional CN methodology with inappropriate CN selection often produces inconsistent runoff estimation. Thus, the new direct curve number derivation technique based on rainfall-runoff datasets with supervised numerical optimization technique under the guide of inferential statistics was developed to improve the accuracy of surface runoff prediction. Furthermore, the two decimal point CN system was proposed in this study. The optimum

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39

KOUTSOUGERAS, CRIS, and GEORGE PAPADOURAKIS. "COUPLING SUPERVISED AND UNSUPERVISED TECHNIQUES IN TRAINING FEED-FORWARD NETS." International Journal on Artificial Intelligence Tools 01, no. 01 (1992): 37–55. http://dx.doi.org/10.1142/s0218213092000120.

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A popular approach to training feed-forward nets is to treat the problem of adaptation as a function approximation and to use curve fitting techniques. We discuss here the problems which the use of pure curve fitting techniques entail for the generalization capability and robustness of the net. These problems are in general inherently associated with the use of pure supervised learning techniques. We argue that a better approach to the training of feed-forward nets is to use adaptive techniques that combine properties of both supervised and unsupervised learning. A new formulation of the train

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Watkin, Andrew T., and W. Wesley Eckenfelder. "A Technique to Determine Unsteady-State Inhibition Kinetics in the Activated Sludge Process." Water Science and Technology 21, no. 6-7 (1989): 593–602. http://dx.doi.org/10.2166/wst.1989.0261.

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A technique for rapidly determining Monod and inhibition kinetic parameters in activated sludge is evaluated. The method studied is known as the fed-batch reactor technique and requires approximately three hours to complete. The technique allows for a gradual build-up of substrate in the test reactor by introducing the substrate at a feed rate greater than the maximum substrate utilization rate. Both inhibitory and non-inhibitory substrate responses are modeled using a nonlinear numerical curve-fitting technique. The responses of both glucose and 2,4-dichlorophenol (DCP) are studied using acti

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41

Unruh, V., and P. Krishnaswami. "A Computer-Aided Design Technique for Semi-Automated Infinite Point Coupler Curve Synthesis of Four-Bar Linkages." Journal of Mechanical Design 117, no. 1 (1995): 143–49. http://dx.doi.org/10.1115/1.2826099.

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At the present time, there are no satisfactory computer-aided solution schemes for solving the infinite point coupler curve synthesis problem (i.e., the problem of synthesizing a four-bar linkage whose coupler curve best approximates a fully specified closed trajectory). In order to develop a programmable solution process for this class of problems, it is necessary to devise a way of storing a catalog of coupler curves in a computer database. In addition, comparison procedures must be developed for detecting geometric similarities between curves; these procedures must be capable of observing s

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42

Ni, P. A., R. M. More, and F. M. Bieniosek. "Reliability of temperature determination from curve-fitting in multi-wavelength pyrometery." Laser and Particle Beams 31, no. 2 (2013): 333–36. http://dx.doi.org/10.1017/s0263034612001103.

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AbstractThis paper examines the reliability of a widely used method for temperature determination by multi-wavelength pyrometry. In recent warm dense matter experiments with ion-beam heated metal foils, we found that the statistical quality of the fit to the measured data is not necessarily a measure of the accuracy of the inferred temperature. We found a specific example where a second-best fit leads to a more realistic temperature value. The physics issue is the wavelength-dependent emissivity of the hot surface. We discuss improvements of the multi-frequency pyrometry technique, which will

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43

Kaushal, Sandeep, Bambam Kumar, Prabhat Sharma, and Dharmendra Singh. "Real time Adaptive Approach for Hidden Targets Shape Identification using through Wall Imaging System." Defence Science Journal 71, no. 03 (2021): 395–402. http://dx.doi.org/10.14429/dsj.71.16696.

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In Through-wall Imaging (TWI) system, shape-based identification of the hidden target behind the wall made of any dielectric material like brick, cement, concrete, dry plywood, plastic and Teflon, etc. is one of the most challenging tasks. However, it is very important to understand that the performance of TWI systems is limited by the presence of clutter due to the wall and also transmitted frequency range. Therefore, the quality of obtained image is blurred and very difficult to identify the shape of targets. In the present paper, a shape-based image identification technique with the help of

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44

Sun, Dejian, Bing Wang, Xiong Hu, and Wei Wang. "An Online Degradation Feature Extraction Technique for Shore Bridge Gearbox Based on Morphological Fractal Dimension and Sliding Window Weibull Fitting." Shock and Vibration 2019 (October 30, 2019): 1–9. http://dx.doi.org/10.1155/2019/9216809.

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Shore bridge and other port cranes have some working condition characters including high speed, heavy load, and large impact. In order to solve the degradation feature extraction issue of hoisting mechanism gearbox, an online degradation feature extraction technique based on morphological fractal dimension and sliding window Weibull fitting is proposed. Firstly, taking the vibration energy spectrum collecting from the gearbox as the online data source, the fractal dimension of the vibration energy spectrum during an analysis period is calculated and a fractal evolution curve is obtained. A thr

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45

Agnihotri, SP, and Laxman Madhavrao Waghmare. "Iterative algorithm and curve fitting technique for tuning with time delay system PID controller." Journal of Intelligent & Fuzzy Systems 29, no. 4 (2015): 1527–37. http://dx.doi.org/10.3233/ifs-151632.

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AlJanabi, Kadhim AlJanabi, Mansoor Habeebi Habeebi, and Nawras Riyadh Neamah. "An Approach for Solving Missing Values in Data Set Using Clustering-Curve Fitting Technique." Journal of Kufa for Mathematics and Computer 2, no. 2 (2014): 87–105. http://dx.doi.org/10.31642/jokmc/2018/0202012.

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Missing values in data sets represent one of the greatest challenge in analyzing data to extract knowledge from the data set. The work in this paper presents a new approach for solving the missing values problems by using and merging two different techniques; clustering (K-means and Expectation Maximization) and curve fitting. More than twenty thousand records of real health data set collected from different Iraqi hospitals were used to create and test the proposed approach that showed better results than the most popular techniques for estimation missing values such as most common values, ove

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Jónás, Tamás, Gábor Árva, and Zsuzsanna Eszter Tóth. "Forecasting Failure Rates of Electronic Goods by Using Decomposition and Fuzzy Clustering of Empirical Failure Rate Curves." Periodica Polytechnica Social and Management Sciences 26, no. 1 (2017): 10. http://dx.doi.org/10.3311/ppso.9026.

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In this paper a novel methodology founded on the joint application of analytic decomposition of empirical failure rate time series and soft computational techniques is introduced in order to predict bathtub-shaped failure rate curves of consumer electronic goods. Empirical failure rate time series are modeled by a flexible function the parameters of which have geometric interpretations, and so the model parameters grab the characteristics of bathtub-shaped failure rate curves. The so-called typical standardized failure rate curve models, which are derived from the model functions through stand

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Weng, Sen Chyi, Gow Yi Tzou, and Bor Lih Kuo. "Bulging Investigation of Cylinder Compression Forming Using Upper Bound Analysis." Advanced Materials Research 939 (May 2014): 283–90. http://dx.doi.org/10.4028/www.scientific.net/amr.939.283.

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Bulging deformation during cylinder compression forming results in geometrical imprecision and flow stress prediction error. Consequently, the present study proposes a hybrid technique comprising the Upper Bound Method (UBM) and geometrical fitting method. It is noted that a volume conservation constraint and an elliptical curve-fitting method with UBM for predicting both the compression force and the bulge profile. It is shown that the predicted results for the compression force based on UBM under certain reduction ratios of 30%, 40%, 50% and 60% are in good agreement with those obtained by e

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Abuelma'atti, Muhammad Taher. "Harmonic and Intermodulation Performance of Nonlinear Electronic Circuits." Active and Passive Electronic Components 21, no. 2 (1998): 87–105. http://dx.doi.org/10.1155/1998/52606.

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A unified technique for mathematical modelling of the input output characteristics of nonlinear electronic circuits is presented. This technique can be easily implemented using simple hand computations without recourse to standard curve-fitting techniques, which invariably requires extensive computing facilities and well-developed software. The mathematical model, basically a sine-series function, can easily yield closed-form series expressions for the amplitudes of the output components resulting from a multisinusoidal input signal to nonlinear electronic circuits. The technique is very helpf

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Zhang, Gao Wei, Guan Wei Zhang, and Qing Zhang. "Research on Spiral Drill Stabilizer Wear-Resisting Layer Repair Technology." Applied Mechanics and Materials 157-158 (February 2012): 373–76. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.373.

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This paper introduced the repair methods of wear-resistant layer of the drilling tool stabilizer, and proposed a simple fitting method for spiral drill stabilizer wear belt, fitting of spatial spiral surface is essence of the space spiral curve fitting, for a pitch fixed spiral can be expanded to two-dimensional line, and then using interpolation technique can control drill stabilizer and repair work head of joint motion, the synthesis of these two motions is the space spiral.

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