Relevant bibliographies by topics / Curve fitting technique

Academic literature on the topic 'Curve fitting technique'

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Published: 14 April 2023

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Journal articles on the topic "Curve fitting technique"

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

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Damos, Diane L. "Determining Transfer of Training Using Curve Fitting." Proceedings of the Human Factors Society Annual Meeting 32, no. 18 (October 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 showed large initial transfer of training on several variables that did not affect the asymptotic level of performance. In contrast standard transfer of training calculations indicated small positive transfer.
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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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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 (June 2013): 129–38. http://dx.doi.org/10.1080/09540091.2013.851173.

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

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Hyun, Seokjeong, and Cheol Kim. "An efficient shape-preserving curve fitting technique for complex structures." Communications in Numerical Methods in Engineering 20, no. 9 (July 14, 2004): 737–46. http://dx.doi.org/10.1002/cnm.693.

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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 (July 3, 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. Subsequently, based on these auxiliary points, a series of auxiliary logarithmic curves (16 curves) are constructed, and the normal distance and corresponding range of values between each measurement point and all auxiliary logarithmic curves are calculated. Finally, by means of an iterative approximation technique consisting of comparing, evaluating, and changing reference points; determining new auxiliary points; and constructing corresponding auxiliary logarithmic curves, minimum zone fitting and evaluation of logarithmic curve profile errors are implemented. The example results show that the logarithmic curve can be fitted, and its profile error can be evaluated effectively and precisely using the presented method.
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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 fitting function are determined by Nelder-Mead optimization technique with the objective of minimizing fitting error in terms of mean residual square. A FORTRAN program has been developed for efficient construction of best converged master curve. It is shown that activation energy of pure ThO2 found by MSC approach is consistent with those obtained by other methods.
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Holler, Farida, David H. Burns, and James B. Callis. "Direct Use of Second Derivatives in Curve-Fitting Procedures." Applied Spectroscopy 43, no. 5 (July 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 typical baselines and noise levels, and on real FT-IR data. Peak parameters (such as position, width, and area) obtained from this technique are comparable to those obtained by fitting the original spectrum with Lorentzian curves and a simple baseline. The major advantage of this procedure is the reduction in the number of parameters that must be optimized in the fitting method. Applications of the technique could eliminate contributions from other complex baseline profiles in the quantitative analysis of spectral components.
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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 (May 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 proposed technique is that it simulates the multiparameter dispersion curve using a simple analytical function that has only four parameters. By adjusting the four parameters to fit the actual wave dispersion data, the wave’s dispersion characteristics can be satisfactorily determined. The result of this simple approach leads to several important applications in acoustic logging. The first is to correct the dispersion effect in the shear-wave velocity from wireline dipole acoustic logging. The second application obtains P-wave velocity from the dispersive leaky compressional-wave data from wireline or LWD measurements. Third, the technique is applied to obtain shear-wave velocity from LWD quadrupole shear-wave logging. Finally, the technique is applicable to layered waveguide structures encountered in surface seismic exploration.
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Dissertations / Theses on the topic "Curve fitting technique"

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Ferreira, Ronaldo da Silva. "Interpretation of pressuremeter tests using a curve fitting technique." reponame:Repositório Institucional da UFSC, 1992. https://repositorio.ufsc.br/handle/123456789/111234.

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De, Wet Pierre. "Powered addition as modelling technique for flow processes." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4166.

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Thesis (MSc (Applied Mathematics))--University of Stellenbosch, 2010.
ENGLISH ABSTRACT: The interpretation – and compilation of predictive equations to represent the general trend – of collected data is aided immensely by its graphical representation. Whilst, by and large, predictive equations are more accurate and convenient for use in applications than graphs, the latter is often preferable since it visually illustrates deviations in the data, thereby giving an indication of reliability and the range of validity of the equation. Combination of these two tools – a graph for demonstration and an equation for use – is desirable to ensure optimal understanding. Often, however, the functional dependencies of the dependent variable are only known for large and small values of the independent variable; solutions for intermediate quantities being obscure for various reasons (e.g. narrow band within which the transition from one regime to the other occurs, inadequate knowledge of the physics in this area, etc.). The limiting solutions may be regarded as asymptotic and the powered addition to a power, s, of such asymptotes, f0 and f¥ , leads to a single correlating equation that is applicable over the entire domain of the dependent variable. This procedure circumvents the introduction of ad hoc curve fitting measures for the different regions and subsequent, unwanted jumps in piecewise fitted correlative equations for the dependent variable(s). Approaches to successfully implement the technique for different combinations of asymptotic conditions are discussed. The aforementioned method of powered addition is applied to experimental data and the semblances and discrepancies with literature and analytical models are discussed; the underlying motivation being the aspiration towards establishing a sound modelling framework for analytical and computational predictive measures. The purported procedure is revealed to be highly useful in the summarising and interpretation of experimental data in an elegant and simplistic manner.
AFRIKAANSE OPSOMMING: Die interpretasie – en samestelling van vergelykings om die algemene tendens voor te stel – van versamelde data word onoorsienbaar bygestaan deur die grafiese voorstelling daarvan. Ten spyte daarvan dat vergelykings meer akkuraat en geskik is vir die gebruik in toepassings as grafieke, is laasgenoemde dikwels verskieslik aangesien dit afwykings in die data visueel illustreer en sodoende ’n aanduiding van die betroubaarheid en omvang van geldigheid van die vergelyking bied. ’n Kombinasie van hierdie twee instrumente – ’n grafiek vir demonstrasie en ’n vergelyking vir aanwending – is wenslik om optimale begrip te verseker. Die funksionele afhanklikheid van die afhanklike veranderlike is egter dikwels slegs bekend vir groot en klein waardes van die onafhanklike veranderlike; die oplossings by intermediêre hoeveelhede onduidelik as gevolg van verskeie redes (waaronder, bv. ’n smal band van waardes waarbinne die oorgang tussen prosesse plaasvind, onvoldoende kennis van die fisika in hierdie area, ens.). Beperkende oplossings / vergelykings kan as asimptote beskou word en magsaddisie tot ’n mag, s, van sodanige asimptote, f0 en f¥, lei tot ’n enkel, saamgestelde oplossing wat toepaslik is oor die algehele domein van die onafhanklike veranderlike. Dié prosedure voorkom die instelling van ad hoc passingstegnieke vir die verskillende gebiede en die gevolglike ongewensde spronge in stuksgewyspassende vergelykings van die afhankilke veranderlike(s). Na aanleiding van die moontlike kombinasies van asimptotiese toestande word verskillende benaderings vir die suksesvolle toepassing van hierdie tegniek bespreek. Die bogemelde metode van magsaddisie word toegepas op eksperimentele data en die ooreenkomste en verskille met literatuur en analitiese modelle bespreek; die onderliggend motivering ’n strewe na die daarstelling van ’n modellerings-raamwerk vir analitiese- en rekenaarvoorspellingsmaatreëls. Die voorgestelde prosedure word aangetoon om, op ’n elegante en eenvoudige wyse, hoogs bruikbaar te wees vir die lesing en interpretasie van eksperimentele data.
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Breßler, Ingo [Verfasser], Andreas F. [Akademischer Betreuer] Thünemann, Michael [Akademischer Betreuer] Gradzielski, Michael [Gutachter] Gradzielski, and Andreas F. [Gutachter] Thünemann. "Scattering techniques for nanoparticle analysis : classical curve fitting and Monte Carlo methods / Ingo Breßler ; Gutachter: Michael Gradzielski, Andreas F. Thünemann ; Andreas F. Thünemann, Michael Gradzielski." Berlin : Technische Universität Berlin, 2017. http://d-nb.info/1156018390/34.

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Mamic, G. J. "Representation and recognition of 3-D free-form objects incorporating statistical techniques." Thesis, Queensland University of Technology, 2002.

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McKenna, Frederick W. "Studies of cell survival curve fitting, effective doses for radiobiological evaluation in SBRT treatment techniques and the dependence of optical density growth in Gafchromic EBT film used in IMRT." Oklahoma City : [s.n.], 2009.

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6

Berro, Soumaya. "Identification of muscle activation schemes by inverse methods applied on HD-sEMG signals." Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2708.

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L'identification rapide ou en temps réel de l'activation spatio-temporelle des unités motrices (UM) qui représentent les unités fonctionnelles du système neuromusculaire est fondamentale dans les applications de contrôle des prothèses et en réhabilitation fonctionnelle. Cependant, cette procédure demande un temps de calcul énorme. Par conséquent, le travail de cette thèse a été consacré à fournir un algorithme permettant l'identification en temps réel des stratégies d'activation spatiale et temporelle des UMs en appliquant des méthodes inverses sur les signaux HD-sEMG (électromyogramme de surface à haute densité) à partir d'une grille placée sur le Biceps Brachial (BB). À cette fin, nous proposons une approche innovante, qui implique l'utilisation de la méthode inverse classique de minimisation de norme et une interpolation de courbe en 3D, à savoir l'approche est nommée CFB-MNE. Cette méthode, fondée sur l'identification inverse (estimation de la norme minimale) couplée à un dictionnaire des potentiels d'action des unités motrices simulées (MUAP) d'un modèle récent et testée sur des simulations, a permis la localisation en temps réel des unités motrices individuelles simulées. Une analyse de robustesse (modifications anatomiques, physiologiques et instrumentales) a ensuite été effectuée pour vérifier l'efficacité de l'algorithme proposé. Enfin, l'algorithme proposé a été testé sur des UMs avec des schémas de recrutement réalistes donnant des résultats prometteurs et encourageants en identification spatiale et temporelle sur trois scenarios. Pour conclure, en perspectives, les résultats prometteurs obtenus suggèrent l'utilisation de l'apprentissage automatique et de l'intelligence artificielle (IA) pour améliorer encore les performances de l'algorithme proposé
Fast or real-time identification of the spatiotemporal activation of Motor Units (MUs), functional units of the neuromuscular system, is fundamental in applications as prosthetic control and rehabilitation guidance but often dictates expensive computational times. Therefore, the thesis work was devoted to providing an algorithm that enables the real-time identification of MU spatial and temporal activation strategies by applying inverse methods on HD-sEMG (high-density surface electromyogram) signals from a grid placed over the Biceps Brachii (BB). For this purpose, we propose an innovative approach, that involves the use of the classical minimum norm inverse method and a 3D fitting curve interpolation, namely CFB-MNE approach. This method, based on inverse identification (minimum norm estimation) coupled to simulated motor unit action potential (MUAP) dictionary from a recent model and tested on simulations, allowed the real time localization of simulated individual motor units. A robustness analysis (anatomical, physiological, and instrumental modifications) was then performed to verify the efficiency of the proposed algorithm. Finally, the proposed algorithm was tested on MUs with realistic recruitment patterns giving promising results in both spatial and temporal identification. To conclude, a door to future perspectives was opened, according to the obtained promising results, suggesting the use of machine learning and artificial intelligence (AI) to further boost the performance of the proposed algorithm
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Amara, Mounir. "Segmentation de tracés manuscrits. Application à l'extraction de primitives." Rouen, 1998. http://www.theses.fr/1998ROUES001.

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Ce travail expose la modélisation de courbes par des éléments de droites, cercles et côniques dans une même formulation grâce à un filtrage étendu de Kalman. L'application est la segmentation des tracés manuscrits par une succession de primitives géométriques. Pour l'ajustement, nous décrivons les différentes courbes par des équations cartésiennes. Ces équations sont soumises à une contrainte de normalisation de manière à obtenir une estimation précise et robuste des paramètres des primitives géométriques. Ces deux équations, écrites sous forme implicite, constituent le système d'observation. Leur linéarisation est effectuée par un développement de Taylor au premier ordre. L'équation d'état du système est fixée constante pour spécifier la description d'une seule forme. La formulation de l'estimation récursive des paramètres utilise un filtre étendu de Kalman qui minimise une erreur quadratique, la distance d'un point à une forme, pondérée par la covariance du bruit d'observation. Pour reconstruire un tracé manuscrit, nous définissons une stratégie de changement de modèles. Dans notre cas, leur détection est fondée soit sur des critères spatio-temporels, en utilisant la dynamique du tracé manuscrit, soit sur des critères purement géométriques. Nous appliquons notre méthodologie à la segmentation de tracés réels constitués de chiffres ou de lettres manuscrites. Nous montrons que les différentes méthodes que nous avons développées permettent de reconstruire en temps réel, de façon précise, robuste, complète et totalement autonome, un tracé manuscrit quelconque. Ces méthodes autorisent un codage des tracés manuscrits: une stratégie est mise en œuvre pour la sélection de la primitive la plus significative au sens d'un critère approprié Nous proposons une démarche qui tient compte du taux de réduction de données et de la précision de la description. Ces méthodes ont l'avantage de réduire considérablement la quantité d'information initiale tout en gardant la partie informative. Elles ont été appliquées sur des tracés manuscrits réels en vue de l'analyse de dessins ou d'écritures d'enfants de scolarité primaire.
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Tien, Yung-Chang, and 田詠昌. "CBCT scatter correction by two dimensional imaging curve fitting technique." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/58693289123747247096.

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碩士
國立陽明大學
生物醫學影像暨放射科學系
101
In current medical imaging modalities, cone-beam CT is a new breakthrough. The difference between cone-beam CT and clinical CT is that CBCT takes shorter scan time and lower dose. However, CBCT has some technical defects, so it is only used in academic research and industrial testing until recently. Owing to CBCT’s advantages, it has also been used in image assessment in the dental field. This research focused on Compton effect, which was produced during imaging, and we developed the algorithm to correct the effect caused by scattered photon on the reconstructed image. The first method was ‘image inpainting’ which had been used in archeology. Image inpainting was the technique to fill holes in damaged region to the removal of selected objects. The second method was the mathematical function with model of polynomial to fit the data. We used the remaining of the scatter to estimate the scatter distribution and validate our methods by Monte Carlo (MC) simulation package (GATE). We used a domestic dental CT to scan the physical phantoms and analyze the data to asses our algorithms. The results found that polynomial fitting correction is better than image inpainting, and it can improve contrast to noise ratio (CNR) and reduce cupping artifact. On the first physical phantom, cupping artifact was reduced from 21.7% to 10.6% and contrast was improved from 10.47 to 18.60. On the second physical phantom, cupping artifact was reduced from 22.7% to 18.2% and contrast was improved from 1.98 to 2.29.
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Yi-Kai, Peng. "Applying Curve Fitting Techniques to Construct the Synopsis of Data Streams." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-0109200613412884.

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Peng, Yi-Kai, and 彭義凱. "Applying Curve Fitting Techniques to Construct the Synopsis of Data Streams." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/60091574710726087517.

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碩士
國立清華大學
資訊系統與應用研究所
94
A data stream is a real-time, continuous, and ordered sequence of data items. It is a widely used data format to deal with large amount of dynamic data. Dynamic content and unbounded storage requirement are the two main characteristics of data streams. We need to deal with these two issues while processing data streams. For the dynamic content issue, the approximate answering is a widely used approach to process queries on data streams. For the unbounded storage size issue, some data structures have been proposed to summarize the data streams and keep the storage space required small. Synopsis is a data structure that summarizes the data streams. By using some algorithms, users can get approximate answers of data streams from the summarized information stored in synopsis. In this thesis, we use the curve fitting technique to construct the synopsis of data streams in the form of a curve that expressed by a polynomial function. The algorithms for constructing the synopsis data structure and querying the data stream are also proposed. We prove that the storage space required by the proposed method is O(logN). From the experimental results, we observe that our approach can achieve 95% accuracy on data contents for the queries.
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Books on the topic "Curve fitting technique"

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Rosenblatt, M., and T. Gasser. Smoothing Techniques for Curve Estimation: Proceedings of a Workshop Held in Heidelberg, April 2-4 1979. Springer London, Limited, 2006.

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Bingi, Kishore, Rosdiazli Ibrahim, Mohd Noh Karsiti, Sabo Miya Hassan, and Vivekananda Rajah Harindran. Fractional-order Systems and PID Controllers: Using Scilab and Curve Fitting Based Approximation Techniques. Springer, 2019.

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Bingi, Kishore, Rosdiazli Ibrahim, Mohd Noh Karsiti, Sabo Miya Hassan, and Vivekananda Rajah Harindran. Fractional-Order Systems and PID Controllers: Using Scilab and Curve Fitting Based Approximation Techniques. Springer International Publishing AG, 2020.

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Book chapters on the topic "Curve fitting technique"

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Kirchner, Joseph F., and Charles R. Bentley. "RIGGS III: Seismic Short-Refraction Studies Using an Analytical Curve-Fitting Technique." In The Ross Ice Shelf: Glaciology and Geophysics, 109–26. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/ar042p0109.

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Bindu, A., and C. N. Ravi Kumar. "Novel Boundary Evolving Algorithm Using Iterative Curve-Fitting Technique to Trim Down the Image Inpainting Complexity Under Extreme Conditions." In Lecture Notes in Electrical Engineering, 629–37. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1157-0_65.

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Koniuszewski, Karol, and Paweł D. Domański. "Gradient Approach to Curve Fitting with Incomplete Data." In Challenges in Automation, Robotics and Measurement Techniques, 277–86. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29357-8_25.

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Irshad, Misbah, Muhammad Sarfraz, and Malik Zawwar Hussain. "Outline Capture of Planar Objects by Detecting Corner Features." In Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, 280–98. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6030-4.ch016.

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This chapter proposes a scheme that helps digitizing hand printed and electronic planar objects or vectorizing the generic shapes. An evolutionary optimization technique, namely Genetic Algorithm (GA), is used to solve the problem of curve fitting with cubic and rational cubic spline functions. The underlying scheme is comprised of various phases including data of the image outlines, detection of corner points, using GA for optimal values of shape parameters in the description of spline functions, and fitting curve using spline functions to the detected corner points.
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Sun, Huyuan. "Electrochemical polarization technique based on the nonlinear region weak polarization curve fitting analysis." In Techniques for Corrosion Monitoring, 79–98. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-08-103003-5.00004-7.

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Molugaram, Kumar, and G. Shanker Rao. "Curve Fitting." In Statistical Techniques for Transportation Engineering, 281–92. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-12-811555-8.00005-2.

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"Curve Fitting Techniques." In Nonparametric Statistics with Applications to Science and Engineering, 241–61. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470168707.ch13.

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Hresko, MT, J. Wynne, L. Houle, and J. Miller. "Bracing for infantile scoliosis: no sedation needed." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210463.

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Mehta casting technique applied under anesthesia is standard treatment for infantile scoliosis (IIS). However, concern has been raised about frequent anesthesia in children less than three years. The development of a customized thoracolumbar sacral orthosis (TLSO) could avoid the risks of Mehta casting. To develop a bracing technique for IIS that achieves patient compliance and scoliosis correction. Nine patients with ISS were offered a custom TLSO as an alternative to Mehta casting. One patient declined due to an insurance issue. No anesthesia was required for measurement or fitting of the TLSO. A temperature sensitive monitor recorded wear time. Brace success was determined by radiographic correction and adherence to prescription of greater than 18 hours per day. Eight patients had brace treatment with mean(range): age 19(12–44) months, curve magnitude 34° (22–44°), rib vertebral angle of greater than 20° with follow-up 17(3–28) months. In brace correction was less than 15 degrees in 6 of 8 patients. Compliance monitor recorded wear: 4 patients ≥ 18 hours, 2 patients 16–18 hours, 1 had 14 hours, and 1 monitor malfunctioned and could not be read. Brace design evolved to maximize ipsilateral abdominal relief away from the lateral apical shift of the design. Foam lining was added to prevent skin irritation through the relief opening. Average number of braces per year =2.2. A customized TLSO can achieve in brace correction comparable to Mehta casting with acceptable compliance and without the need for general anesthesia, while allowing bathing and skin care.
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Nagahara, Masaaki. "3. Curve Fitting and Sparse Optimization." In Security Risk Management for the Internet of Things: Technologies and Techniques for IoT Security, Privacy and Data Protection. Now Publishers, 2020. http://dx.doi.org/10.1561/9781680837254.ch3.

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Kim, Hyoung-Joong, Shijun Xiang, and In-Kwon Yeo. "Robustness Analysis of Patchwork Watermarking Schemes." In Digital Audio Watermarking Techniques and Technologies, 172–86. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-513-9.ch008.

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The patchwork watermarking scheme is investigated in this chapter. The performance of this algorithm in terms of imperceptibility, robustness and security has been shown to be satisfactory. Robustness of the patchwork algorithm to the curve-fitting attack and blind multiple-embedding attack is presented also in this chapter. Robustness against jitter attack which is a natural enemy of this watermarking al-gorithm is also studied.
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Conference papers on the topic "Curve fitting technique"

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Mohamed, Najihah, Ahmad Abd Majid, and Abd Rahni Mt Piah. "Rational quadratic Bézier curve fitting by simulated annealing technique." In PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation. AIP, 2013. http://dx.doi.org/10.1063/1.4801215.

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Bingi, Kishore, and B. Rajanarayan Prusty. "Approximation of Time-Delay Systems Using Curve Fitting Technique." In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2021. http://dx.doi.org/10.1109/i-pact52855.2021.9696965.

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Devate, Jayalaxmi, S. Y. Kulkarni, and K. R. Pai. "Wideband IIR digital integrator and differentiator using curve fitting technique." In 2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN). IEEE, 2015. http://dx.doi.org/10.1109/icscn.2015.7219845.

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Guo-sheng, Xu. "The applicaion of curve fitting technique in fabric defect detection." In 2010 2nd International Conference on Signal Processing Systems (ICSPS). IEEE, 2010. http://dx.doi.org/10.1109/icsps.2010.5555595.

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Farayola, Adedayo M., Ali N. Hasan, and Ahmad Ali. "Curve fitting polynomial technique compared to ANFIS technique for maximum power point tracking." In 2017 8th International Renewable Energy Congress (IREC). IEEE, 2017. http://dx.doi.org/10.1109/irec.2017.7926047.

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Panigrahi, Sridhar, Vishnu K. Lakdawala, Lucy M. Thomas-Harrington, and Ralf P. Brinkmann. "Novel curve-fitting technique for characterization of high-resistivity semiconductor materials." In OE/LASE'93: Optics, Electro-Optics, & Laser Applications in Science& Engineering, edited by R. Aaron Falk. SPIE, 1993. http://dx.doi.org/10.1117/12.146563.

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Lu, Yinghua, Mingjie Li, Baoling Song, Xiaofei Liu, and Jun Kong. "A Novel Registration Approach Based on Curve Fitting Technique for Iris Images." In 2008 Second International Symposium on Intelligent Information Technology Application (IITA). IEEE, 2008. http://dx.doi.org/10.1109/iita.2008.352.

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Vinod, V., and U. Jayachandra Shenoy. "An Adaptive Relay Based on Curve Fitting Technique for Micro-grid Protection." In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE). IEEE, 2020. http://dx.doi.org/10.1109/pesgre45664.2020.9070624.

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Costa, Guilherme Braga da, Augusto Zanin Bertoletti, Adriano Peres de Morais, and Ghendy Cardoso Junior. "Curve Fitting Analysis of Expulsion Fuse Links through the Cross-Validation Technique." In 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA). IEEE, 2018. http://dx.doi.org/10.1109/tdc-la.2018.8511744.

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Kharangate, Laximi S., Nitesh Guinde, and Abhijit Tamba. "A novel approach for metal detection in food using curve fitting technique." In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2017. http://dx.doi.org/10.1109/rteict.2017.8256921.

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Reports on the topic "Curve fitting technique"

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Champagne, C., A. Bannari, K. Staenz, J. C. Deguise, and H. McNairn. Validation of a Hyperspectral Curve-Fitting Technique for Mapping Crop Water Status. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219853.

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