Curve fitting

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Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. (Wikipedia.org)






Conferences related to Curve fitting

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2021 IEEE Pulsed Power Conference (PPC)

The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


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Periodicals related to Curve fitting

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Most published Xplore authors for Curve fitting

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Xplore Articles related to Curve fitting

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Experimental determination of SAW properties of 5 standard piezoceramics

1994 Proceedings of IEEE Ultrasonics Symposium, 1994

Bulk elastic, piezoelectric and dielectric constants of four lead zirconate titanate piezoceramics, Pz24, Pz26, Pz27 and Pz28, and a modified lead titanate, Pz34, are measured and used to theoretically compute the effective permittivity curve of each material from which the SAW properties are deduced. In parallel, experimental measurements of the SAW properties are carried out by using a curve fitting ...


A multi-mode optical fibre sensing system using white light interferometry

IEE Colloquium on Progress in Fibre Optic Sensors and Their Applications, 1995

Firstly, the theory of the white light interferometer is presented. This is followed by minimum peak height difference and related experimental results. The curve fitting signal processing scheme and the best order of polynomial for curve fitting are then discussed. Finally, displacement measurement with and without curve fitting signal processing is examined. The results show that, with a two wavelength ...


Dynamic simulation of the belt conveyor in neural network

2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010

This paper analyzes the example of a belt conveyor on coal harbor, and adopts the newly popular Simulink simulation software based Matlab language. This software provides a new solution for system simulation technology, and not only improves the efficiency of computer programming, but greatly enhances programming equality and reliability. The jointly working scope of driving device can be attained by ...


A new method for modeling loss in distribution network

2006 IEEE International Power and Energy Conference, 2006

In this paper, a method is proposed for modeling the loss in power systems for the economic dispatch problem. It is based on the analysis of number of second order polynomial equations which model the loss so that by calculating the coefficients of these equations the loss relation is obtained which is the main objective. In order to determine these ...


Saccadic Endpoint From A Backpropagation Network Using Initial Eye Displacement

[1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990

None


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Educational Resources on Curve fitting

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IEEE-USA E-Books

  • Experimental determination of SAW properties of 5 standard piezoceramics

    Bulk elastic, piezoelectric and dielectric constants of four lead zirconate titanate piezoceramics, Pz24, Pz26, Pz27 and Pz28, and a modified lead titanate, Pz34, are measured and used to theoretically compute the effective permittivity curve of each material from which the SAW properties are deduced. In parallel, experimental measurements of the SAW properties are carried out by using a curve fitting algorithm on the real and imaginary parts of the electrical input impedance of an unapodised single electrode SAW transducer. The SAW propagation losses are also measured using a SAW delay line. A free surface wave velocity varying from 2100 m/s to 2500 m/s and a surface wave coupling coefficient k<sub>s</sub><sup>2</sup> between 1.5% and 4% are found. Both determination methods of SAW properties are discussed in terms of sensitivity and the potential of piezoceramics for SAW applications is examined

  • A multi-mode optical fibre sensing system using white light interferometry

    Firstly, the theory of the white light interferometer is presented. This is followed by minimum peak height difference and related experimental results. The curve fitting signal processing scheme and the best order of polynomial for curve fitting are then discussed. Finally, displacement measurement with and without curve fitting signal processing is examined. The results show that, with a two wavelength source, the central fringe can be identified if the sampling gap is smaller than the maximum sampling OPD gap. The noise in the system can be reduced by the curve fitting technique proposed. The best order of the polynomial used to carry out curve fitting is four according to the experimental results and the analysis.

  • Dynamic simulation of the belt conveyor in neural network

    This paper analyzes the example of a belt conveyor on coal harbor, and adopts the newly popular Simulink simulation software based Matlab language. This software provides a new solution for system simulation technology, and not only improves the efficiency of computer programming, but greatly enhances programming equality and reliability. The jointly working scope of driving device can be attained by their crossing points, and output characteristic curve of jointly working may be programmed by neural networks algorithm, which owning fast fitting speed, high fault-tolerant capability and nonlinear modeling performance. The output torque of driving system in s-function block is served as input source block of conveyor system, the state space block of the belt as system block and dynamic tensions as output block of conveyor system, thus the simulation model of whole conveyor system is created and solver in variable-step is selected to solve the simulation model because this solver is stable, efficient and accurate to stiff equations and the varying process of each dynamic parameters are available during full-load starting. The simulation results of conveyor system can assure smooth braking and the security of conveyor system.

  • A new method for modeling loss in distribution network

    In this paper, a method is proposed for modeling the loss in power systems for the economic dispatch problem. It is based on the analysis of number of second order polynomial equations which model the loss so that by calculating the coefficients of these equations the loss relation is obtained which is the main objective. In order to determine these coefficients, first the loss curve for each unit is obtained while the real power output of the noted unit is changing and the output of the rest of units is constant. The same as this procedure is implemented mathematically and one second order polynomial equation for each unit is acquired. Using curve fitting between these curves and the equations, the coefficients are calculated. Two case studies are used to evaluate the proposed method and the results are compared with the results of conventional B-method and those obtained by the load flow. The accordance between the results of the proposed method and load flow shows the accuracy of the model. The method also enjoys simple equations and process and besides it is not as time consuming as some other methods.

  • Saccadic Endpoint From A Backpropagation Network Using Initial Eye Displacement

    None

  • Coordination of inverse-time overcurrent relays with fuses using genetic algorithm

    This work presents a methodology to obtain discrete adjustments for overcurrent relays and fuse selection using Genetic Algorithm. The purpose is to minimize the protection devices time and therefore reduce the impact caused by short circuits in an electrical installation. In addition, the mathematical formulation presented aims to ensure that the resulting protection system is coordinated and selective. The choice of fuses is made with the aid of Curve Fitting, which makes the results more accurate. The objective function presented penalizes the mismatches, so that the search for the solution does not converge to infeasible solutions. The method is tested in an electrical radial topology system and the results show its effectiveness.

  • Direct parameter extraction on RF-CMOS

    The good knowledge of all parameters of the models used with the circuit simulations is one of the major prerequisites for a successful design. This is particularly true for the design of analog radio-frequency (RF) circuits. An efficient and accurate method to directly extract the parameters needed for accurate modeling of transistors in a standard CMOS sub-micron technology for RF-applications is presented. The paper concentrates on the extraction procedure, with emphasis on its simplicity, hence excluding fitting or optimization, and on the accuracy of its results. The extracted parameters are applied to a first order nonquasistatic (NQS) model and the simulation results compared with measurements. Excellent agreement between simulations and measurements up to 50GHz is achieved.

  • Variable threshold logic—A highly flexible logic

    Variable threshold logic(VTL) having changeable weights and a variable threshold was implemented as a MOS circuit. Two binary codes corresponding to data and threshold are multiplied by the weights given as the channel width- to-length ratio of the transistors, and the two inner products given in voltage levels are compared in order to produce a logical output. A VTL circuit, having 16 modes of the weight and employing 16 levels of the voltage, was fabricated and is operated as desired.

  • The applicaion of curve fitting technique in fabric defect detection

    To fabric defect detection of rapidity and accuracy, a new method for defect detection based on curve fitting is presented. Firstly, acquiring fabric images are processed with median filter. Then take the measures of curve fitting to the enhanced defect imagines. Finally, the edge detection was carried out to the fabric defect. Experimental results show that the algorithm can effectively suppress noise, the edges are clear and accurate, that this method improves the speed of the defect detection while keeping the accuracy of the defect detection.

  • Gesture Segmentation from a Video Sequence Using Greedy Similarity Measure

    We propose a novel method of greedy similarity measure to segment long spatial-temporal video sequences. Firstly, a principal curve of motion region along frames of a video sequence is constructed to represent trajectory. Then from the constructed principal curves of trajectories of predefined gestures, HMMs are applied to modeling them. For a long input video sequence, greedy similarity measure is established to automatically segment it into gestures along with gesture recognition, where true breakpoints of its principal curve are found by maximizing the joint probability of two successive candidate segments conditioned on the gesture models obtained from HMMs. The method is flexible, of high accuracy, and robust to noise due to the exploitation of principal curves, the combination of two successive candidate segments, and the simultaneous recognition. Experiments including comparison with two established methods demonstrate the effectiveness of the proposed method



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