Conferences related to Methods

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (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 papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


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 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


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Periodicals related to Methods

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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


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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Most published Xplore authors for Methods

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Xplore Articles related to Methods

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Iterative and non-iterative methods of Monte Carlo as actual computing methods Bayesian analysis

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM), 2017

The use of the Bayesian approach with the aim of its application to the processes of various types is a rather urgent task of evaluating statistical as well as mathematical models. The Bayesian methodology is an alternative to the classical statistical approach, this methodology makes it possible to give the models under study the most complete and accurate estimate. Also, ...


On Solving Singular Diffusion Equations With Monte Carlo Methods

IEEE Transactions on Plasma Science, 2010

Diffusion equations in one, two, or three dimensions with inhomogeneous diffusion coefficients are usually solved with finite-difference or finite- element methods. For higher dimensional problems, Monte Carlo solutions to the corresponding stochastic differential equations can be more effective. The inhomogeneities of the diffusion constants restrict the time steps. When the coefficient in front of the highest derivative of the corresponding ...


Comparisons of finite difference beam propagation methods for modeling second-order nonlinear effects

Journal of Lightwave Technology, 1999

Three numerical methods, iterative finite difference (FD), split-step, and iterative split-step beam propagation methods (BPM's), for modeling second- order nonlinear effects are evaluated. All three methods are able to handle the depletion of the pump wave. The evaluation shows that both iterative methods are more accurate than the split step method. In addition, the iterative split-step method, even with its ...


MCMC and EM-based methods for inference in heavy-tailed processes with /spl alpha/-stable innovations

Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99, 1999

In this paper we present both stochastic and deterministic iterative methods for inference about random processes with symmetric stable innovations. The proposed methods use a scale mixtures of normals (SMiN) representation of the symmetric stable law to express the processes in conditionally Gaussian form. This allows standard procedures for dealing with the Gaussian case to be re- used directly as ...


Modelling of radiation field excited on sharp waveguide discontinuities by numerical and semi-analytical methods

International Conference on Mathematical Methods in Electromagnetic Theory, 2002

Propagation of radiation field excited on a step-like discontinuity of dielectric slab waveguide is considered by using two different techniques: the Finite-Difference Beam Propagation Method and the Green's Function Method. Comparison of these techniques enables to evaluate approximations used in the FD-BPM as well as the truncation errors and influence of interface conditions.


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Educational Resources on Methods

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IEEE.tv Videos

Formal Methods in Robotics
IMS 2012 Microapps - Panel Session: Device Characterization Methods and Advanced RF/ Microwave Design
IMS 2011 Microapps - Practical Methods for Estimating the Q of Spiral Inductors Using EM Planar Simulators
Learning with Kernels for Streams of Structured Data
Micro-Apps 2013: Alternative Methods and Optimization Techniques for Vector Modulation
Soft, Printable, and Small: An Overview of Manufacturing Methods for Novel Robots at Harvard
Award-Winning Methods for LPIRC - Tao Sheng - LPIRC 2019
Computational Intelligence in (e)Healthcare - Challenges and Opportunites
IMS 2011 Microapps - Transient FEM Solver and Hybrid FE-IE Method; New Technologies in HFSS 13.0
Surgical Robotics: Robotics methods for navigating untethered agents through the vascular network
MicroApps: Different Methods for Capacitor Modelling in High-Frequency PCB-Based Diplexers (National Instruments)
Quantization Without Fine-Tuning - Tijimen Blankevoort - LPIRC 2019
Cooperative Localization in Sensor Networks
Signal Processing on Manifolds
Optimization Algorithms for Signal Processing
Collaborative Filtering II
Imaging Human Brain Function with Simultaneous EEG-fMRI - IEEE Brain Workshop
Innovative Transmission Line Measurement and Characterization Reduce Time to Repair for Complex Communication Systems: MicroApps 2015 - Keysight Technologies
Fuzzy Sets and Social Research - Charles C. Ragin - WCCI 2016
Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016

IEEE-USA E-Books

  • Iterative and non-iterative methods of Monte Carlo as actual computing methods Bayesian analysis

    The use of the Bayesian approach with the aim of its application to the processes of various types is a rather urgent task of evaluating statistical as well as mathematical models. The Bayesian methodology is an alternative to the classical statistical approach, this methodology makes it possible to give the models under study the most complete and accurate estimate. Also, the Bayesian approach provides the probability of obtaining acceptable results in situations in which the application of classical methods is extremely limited.

  • On Solving Singular Diffusion Equations With Monte Carlo Methods

    Diffusion equations in one, two, or three dimensions with inhomogeneous diffusion coefficients are usually solved with finite-difference or finite- element methods. For higher dimensional problems, Monte Carlo solutions to the corresponding stochastic differential equations can be more effective. The inhomogeneities of the diffusion constants restrict the time steps. When the coefficient in front of the highest derivative of the corresponding differential equation goes to zero, the equation is said to be singular. For a 1-D stochastic differential equation, this corresponds to the diffusion coefficient that goes to zero, making the coefficient strongly inhomogeneous, which, however, is a natural condition when the process is limited to a region in phase space. The standard methods to solve stochastic differential equations near the boundaries are to reduce the time step and to use reflection. The strong inhomogeneity at the boundary will strongly limit the time steps. To allow for longer time steps for Monte Carlo codes, higher order methods have been developed with better convergence in phase space. The aim of our investigation is to find operators producing converged results for large time steps for higher dimensional problems. Here, we compare new and standard algorithms with known steady-state solutions.

  • Comparisons of finite difference beam propagation methods for modeling second-order nonlinear effects

    Three numerical methods, iterative finite difference (FD), split-step, and iterative split-step beam propagation methods (BPM's), for modeling second- order nonlinear effects are evaluated. All three methods are able to handle the depletion of the pump wave. The evaluation shows that both iterative methods are more accurate than the split step method. In addition, the iterative split-step method, even with its iterative nature, is more efficient than the split-step one. Between the two iterative methods, further comparisons indicate that, for a small stepsize, both have comparable accuracy. As the stepsize increases, the iterative split-step method is not as accurate as the iterative finite-difference one. However, the former method has a higher efficiency, suggesting that it is a better choice when the stepsize has to be small because of, for example, the quasiphase-matched geometrical configuration.

  • MCMC and EM-based methods for inference in heavy-tailed processes with /spl alpha/-stable innovations

    In this paper we present both stochastic and deterministic iterative methods for inference about random processes with symmetric stable innovations. The proposed methods use a scale mixtures of normals (SMiN) representation of the symmetric stable law to express the processes in conditionally Gaussian form. This allows standard procedures for dealing with the Gaussian case to be re- used directly as part of the scheme. In contrast with other recently published work on the topic, we propose a novel hybrid rejection sampling method for simulating the scale parameters from their full conditional distributions, making use of asymptotic approximations for the tail of a positive stable distribution when rejection rates are too high. This hybrid approach potentially leads to improved performance compared with straightforward rejection sampling or Metropolis-Hastings (M-H) approaches. The methods can be applied to any model with symmetric stable terms, but we illustrate their application to linear models and present simulations for AR time series with stable innovations.

  • Modelling of radiation field excited on sharp waveguide discontinuities by numerical and semi-analytical methods

    Propagation of radiation field excited on a step-like discontinuity of dielectric slab waveguide is considered by using two different techniques: the Finite-Difference Beam Propagation Method and the Green's Function Method. Comparison of these techniques enables to evaluate approximations used in the FD-BPM as well as the truncation errors and influence of interface conditions.

  • (CSDA) Software Engineering Methods

    This tutorial is part of a series of eLearning courses designed to help you prepare for the examination to become a Certified Software Development Associate (CSDA) or to learn more about specific software engineering topics. Courses in this series address one or more of the fifteen Knowledge Areas that comprise the Software Engineering Body of Knowledge - or SWEBOK, upon which the Certification Exam is based. This course is intended to assess your understanding of software requirements through inline quizzes and feedback. The CSDA credential is intended for graduating software engineers and entry- level software professionals and serves to bridge the gap between your educational experience and real-world work requirements. Software engineering methods impose structure on the software engineering activity with the goal of making the activity systematic and ultimately more likely to be successful. Methods usually provide a notation and vocabulary, procedures for performing identifiable tasks and guidelines for checking both the process and product. They vary widely in scope, from a single life cycle stage to the complete life cycle. The emphasis in this knowledge area is on software engineering methods encompassing multiple life cycle stages, since stage-specific methods are covered by other knowledge areas.

  • Game Methods of the Stochastic Boundary Problem Solution

    The game problems solution methods which are described by systems of the stochastic equations in partial derivative are investigated. The offered methods are based on an estimation of the characteristics of distributions of random quantities, which is carried out with the help self-learning of recurrent methods

  • Solution of Nonlinear Magnetic Field Problems by Krylov-Subspace Methods With${\mbi \eta}$-Cycle Wavelet-Based Algebraic Multigrid Preconditioning

    The performance of eta-cycle wavelet-based algebraic multigrid preconditioner of iterative methods is investigated. It is applied to the solution of non- linear system of algebraic equations associated with the Newton-Raphson algorithm. Particular attention has been focused in both V- and W-cycle convergence factors, as well as the CPU time. Numerical results show the efficiency of the proposed techniques when compared with classical preconditioners, such as Incomplete Cholesky and Incomplete LU decomposition.

  • Integro-differential equations of dipole antennas. Theory and methods of computation

    The paper deals with to the integro-differential equations of dipole antennas with an exact singular kernel. The theory of integro-differential equations is developed. Theorems of existence and uniquenesses are proved. Numerical and numerical-analytical methods of solution of integro-differential equations are proposed. Asymptotic estimations of convergence rates of approximate solutions to exact ones are obtained. Asymptotic methods of solution of the equations of thin wire antennas are developed.

  • IEE Colloquium on 'Methods of Combating Multipaths' (Digest No.21)

    None



Standards related to Methods

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IEEE Recommended Practice for Maintenance of DC Overhead Contact Systems for Transit Systems

This recommended practice provides overhead contact system maintenance practices and procedures including maintenance techniques, site inspection and test procedures, and maintenance tolerances, for heavy rail, light rail, and trolley bus systems.


IEEE Standard for Local and metropolitan area networks - Secure Device Identity

This standard specifies unique per-device identifiers (DevID) and the management and cryptographic binding of a device to its identifiers, the relationship between an initially installed identity and subsequent locally significant identities, and interfaces and methods for use of DevIDs with existing and new provisioning and authentication protocols.