Conferences related to Vectors

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2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)

ANTEM's technical sessions will provide a comprehensive and well-balanced program and are intended to provide an international forum for the exchange of information on state-of-the-art research in antennas, propagation, and electromagnetic engineering. Authors are invited to submit contributions for review and possible presentation during the symposium on topics of interest to ANTEM. In addition to regularly scheduled sessions for oral presentations, there will be distinguished lecturers and special sessions. There will be a Student Paper Competition as well as a Technical Exhibition.


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC)

Promote and co-ordinate the exchange and the publication of technical, scientific and economic information in the field of Power Electronics and Motion Control with special focus on countries less involved in IEEE related activities. The main taget is to create a forum for industrial and academic community.

  • 2016 IEEE International Power Electronics and Motion Control Conference (PEMC)

    The IEEE Power Electronics and Motion Control (IEEE-PEMC) conference continues to be the oldest in Europe and is a direct continuation of the conferences held since 1970. Its main goal is to promote and co-ordinate the exchange and publication of technical, scientific and economic information on Power Electronics and Motion Control. One of its main objectives is the cooperation and integration between the long-time divided Western and Eastern Europe, this goal expressed in the conference logo, as well. The conference attracts now a large number (roughly 500+) of participants from the world. An exhibition is organised in parallel with every PEMC Conference, offering space for the industry to present their latest products for Power Electronics and Motion Control. In addition to the regular oral sessions, key notes, round tables, tutorials, workshops, seminars, exhibitions, the dialogue sessions (enlarged “poster” presentations) present to the speakers a better cooperation opportunity.

  • 2014 16th International Power Electronics and Motion Control Conference (PEMC)

    The purpose of the 16th International Power Electronics and Motion Control Conference and Exposition (PEMC) is to bring together researchers, engineers and practitioners from all over the world, interested in the advances of power systems, power electronics, energy, electrical drives and education. The PEMC seeks to promote and disseminate knowledge of the various topics and technologies of power engineering, energy and electrical drives. The PEMC aims to present the important results to the international community of power engineering, energy, electrical drives fields and education in the form of research, development, applications, design and technology. It is therefore aimed at assisting researchers, scientists, manufacturers, companies, communities, agencies, associations and societies to keep abreast of new developments in their specialist fields and to unite in finding power engineering issues.

  • 2012 EPE-ECCE Europe Congress

    Power Electronics and Motion Control.

  • 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010)

    Semiconductor Devices and Packaging, Power Converters, Electrical Machines, Actuators, Motion Control, Robotics, Adjustable Speed Drives, Application and Design of Power Electronics circuits, Measurements, Sensors, Observing Techniques, Electromagnetic Compatibility, Power Electronics in Transportation, Mechatronics, Power Electronics in Electrical Energy Generation, Transmission and Distribution, Renewable Energy Sources, Active Filtering, Power Factor Correction

  • 2008 13th International Power Electronics and Motion Control Conference (EPE/PEMC 2008)

  • 2006 12th International Power Electronics and Motion Control Conference (EPE/PEMC 2006)


2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)

AQTR 2018 is intended to be an international forum for researchers in the field of automation, quality, testing and robotics. It will bring together equipment manufacturers, software developers and end-users to discuss the current trends and future directions of control and testing technologies and their industrial and social applications in the private and the public sectors. Active participation of students and graduate students is strongly encouraged.


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Periodicals related to Vectors

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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 ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Vectors

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Xplore Articles related to Vectors

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Surface water velocity measurement using video processing: A survey

M. SelvaBalan; Nitika Sharma; Ganesh Deshpande; Chirag Kankariya; A. A. Naik 2014 International Conference on Electronics and Communication Systems (ICECS), 2014

Measurement of velocity has been a challenging task in the surface water studies. Several attempts to measure the turbulences with contact sensors could not yield accurate results as they alter the flow pattern. The aim of this paper is to implement the noncontact velocity measurement system that is based on an image based technique, named Particle Image Velocimetry (PIV). This ...


SVD Filter Based Multiscale Approach for Image Quality Assessment

Ashirbani Saha; Gaurav Bhatnagar; Q. M. Jonathan Wu 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

Automatic assessment of image quality in accordance with the human visual system (HVS) finds application in various image processing tasks. In the last decade, a substantial proliferation in image quality assessment (IQA) based on structural similarity has been observed. The structural information estimation includes statistical values (mean, variance, and correlation), gradient information, Harris response and singular values. In this paper, ...


Zero dispersion with high birefringence photonic crystal fibre

Pranaw Kumar; Naikatmana Pani; Chandrani Paul; Amlan Datta 2014 International Conference on Electronics and Communication Systems (ICECS), 2014

In this paper we have proposed some new photonic crystal fiber structures whose geometries are derived from the polynomials of Pascal's Triangle (PT). The simulation of the proposed structures are carried out using OptiFDTD simulator with full vector mode solver using finite difference time domain (FDTD). The dispersion observed for the proposed structure was almost zero upto a wavelength of ...


Impact of 500hPa height field anomaly on precipitation and temperature change over arid central Asia over the past 100 years

Jinsong Wang; Feng Wei 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Based on the gridded monthly precipitation and temperature data, and the monthly 500hPa height field data, the influence of 500hPa height change on precipitation and temperature over arid central Asia is analyzed. The results show that the summer rainfall and temperature anomaly in arid central Asia relates largely to those of large-scale meridional circulation. The winter precipitation and temperature anomaly ...


Time-frequency space characterization based on statistical criterions

Cyril Hory; Nadine Martin; Alain Chéhikian; Lars Erik Sölberg 2000 10th European Signal Processing Conference, 2000

In this paper is proposed a method to characterize a Time-Frequency Representation (TFR). This characterization takes place in a process which aim is to extract spectral patterns of an uni-dimensional signal from its TFR. The originality of this method is that the Time-Frequency plane is considered from a local point of view. Statistical features of set of TFR coefficients are ...


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Educational Resources on Vectors

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eLearning

Surface water velocity measurement using video processing: A survey

M. SelvaBalan; Nitika Sharma; Ganesh Deshpande; Chirag Kankariya; A. A. Naik 2014 International Conference on Electronics and Communication Systems (ICECS), 2014

Measurement of velocity has been a challenging task in the surface water studies. Several attempts to measure the turbulences with contact sensors could not yield accurate results as they alter the flow pattern. The aim of this paper is to implement the noncontact velocity measurement system that is based on an image based technique, named Particle Image Velocimetry (PIV). This ...


SVD Filter Based Multiscale Approach for Image Quality Assessment

Ashirbani Saha; Gaurav Bhatnagar; Q. M. Jonathan Wu 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

Automatic assessment of image quality in accordance with the human visual system (HVS) finds application in various image processing tasks. In the last decade, a substantial proliferation in image quality assessment (IQA) based on structural similarity has been observed. The structural information estimation includes statistical values (mean, variance, and correlation), gradient information, Harris response and singular values. In this paper, ...


Zero dispersion with high birefringence photonic crystal fibre

Pranaw Kumar; Naikatmana Pani; Chandrani Paul; Amlan Datta 2014 International Conference on Electronics and Communication Systems (ICECS), 2014

In this paper we have proposed some new photonic crystal fiber structures whose geometries are derived from the polynomials of Pascal's Triangle (PT). The simulation of the proposed structures are carried out using OptiFDTD simulator with full vector mode solver using finite difference time domain (FDTD). The dispersion observed for the proposed structure was almost zero upto a wavelength of ...


Impact of 500hPa height field anomaly on precipitation and temperature change over arid central Asia over the past 100 years

Jinsong Wang; Feng Wei 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Based on the gridded monthly precipitation and temperature data, and the monthly 500hPa height field data, the influence of 500hPa height change on precipitation and temperature over arid central Asia is analyzed. The results show that the summer rainfall and temperature anomaly in arid central Asia relates largely to those of large-scale meridional circulation. The winter precipitation and temperature anomaly ...


Time-frequency space characterization based on statistical criterions

Cyril Hory; Nadine Martin; Alain Chéhikian; Lars Erik Sölberg 2000 10th European Signal Processing Conference, 2000

In this paper is proposed a method to characterize a Time-Frequency Representation (TFR). This characterization takes place in a process which aim is to extract spectral patterns of an uni-dimensional signal from its TFR. The originality of this method is that the Time-Frequency plane is considered from a local point of view. Statistical features of set of TFR coefficients are ...


More eLearning Resources

IEEE-USA E-Books

  • Grover's Algorithm

    This chapter contains sections titled: 13.1 Two Vectors, 13.2 The Algorithm, 13.3 The Analysis, 13.4 The General Case, with k Unknown, 13.5 Grover Approximate Counting, 13.6 Problems, 13.7 Summary and Notes

  • Appendix: Fundamental Concepts of Vectors

    No abstract.

  • Introducing Spacetime

    This chapter contains sections titled: * Background and Key Concepts * Time as a Vector * The Spacetime Basis Elements * Basic Operations * Velocity * Different Basis Vectors and Frames * Events and Histories * The Spacetime Form of ?> * Working with Vector Differentiation * Working without Basis Vectors * Classification of Spacetime Vectors and Bivectors * Exercises

  • References

    This monograph addresses the problem of "real-time" curve fitting in the presence of noise, from the computational and statistical viewpoints. It examines the problem of nonlinear regression, where observations are made on a time series whose mean-value function is known except for a vector parameter. In contrast to the traditional formulation, data are imagined to arrive in temporal succession. The estimation is carried out in real time so that, at each instant, the parameter estimate fully reflects all available data.Specifically, the monograph focuses on estimator sequences of the so- called differential correction type. The term "differential correction" refers to the fact that the difference between the components of the updated and previous estimators is proportional to the difference between the current observation and the value that would be predicted by the regression function if the previous estimate were in fact the true value of the unknown vector parameter. The vector of proportionality factors (which is generally time varying and can depend upon previous estimates) is called the "gain" or "smoothing" vector.The main purpose of this research is to relate the large- sample statistical behavior of such estimates (consistency, rate of convergence, large-sample distribution theory, asymptotic efficiency) to the properties of the regression function and the choice of smoothing vectors. Furthermore, consideration is given to the tradeoff that can be effected between computational simplicity and statistical efficiency through the choice of gains.Part I deals with the special cases of an unknown scalar parameter- discussing probability-one and mean-square convergence, rates of mean-square convergence, and asymptotic distribution theory of the estimators for various ch oices of the smoothing sequence. Part II examines the probability-one and mean-square convergence of the estimators in the vector case for various choices of smoothing vectors. Examples are liberally sprinkled throughout the book. Indeed, the last chapter is devoted entirely to the discussion of examples at varying levels of generality.If one views the stochastic approximation literature as a study in the asymptotic behavior of solutions to a certain class of nonlinear first-order difference equations with stochastic driving terms, then the results of this monograph also serve to extend and complement many of the results in that literature, which accounts for the authors' choice of title.The book is written at the first-year graduate level, although this level of maturity is not required uniformly. Certainly the reader should understand the concept of a limit both in the deterministic and probabilistic senses (i.e., almost sure and quadratic mean convergence). This much will assure a comfortable journey through the first fourth of the book. Chapters 4 and 5 require an acquaintance with a few selected central limit theorems. A familiarity with the standard techniques of large-sample theory will also prove useful but is not essential. Part II, Chapters 6 through 9, is couched in the language of matrix algebra, but none of the "classical" results used are deep. The reader who appreciates the elementary properties of eigenvalues, eigenvectors, and matrix norms will feel at home.MIT Press Research Monograph No. 42

  • Bibliography

    This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum theory or quantum mechanics. The book explains quantum computation in terms of elementary linear algebra; it assumes the reader will have some familiarity with vectors, matrices, and their basic properties, but offers a review of all the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, this primer makes quantum algorithms accessible to students and researchers in computer science without the complications of quantum mechanical notation, physical concepts, and philosophical issues. After explaining the development of quantum operations and computations based on linear algebra, the book presents the major quantum algorithms, from seminal algorithms by Deutsch, Jozsa, and Simon through Shor's and Grover's algorithms to recent quan um walks. It covers quantum gates, computational complexity, and some graph theory. Mathematical proofs are generally short and straightforward; quantum circuits and gates are used to illuminate linear algebra; and the discussion of complexity is anchored in computational problems rather than machine models. _Quantum Algorithms via Linear Algebra_ is suitable for classroom use or as a reference for computer scientists and mathematicians.

  • Basic Electromagnetics

    This chapter contains sections titled: * Vectors * Ampere's Law * Magnetic Materials * Faraday's Law * Potentials * Maxwell's Equations * Problems * References

  • Index

    This monograph addresses the problem of "real-time" curve fitting in the presence of noise, from the computational and statistical viewpoints. It examines the problem of nonlinear regression, where observations are made on a time series whose mean-value function is known except for a vector parameter. In contrast to the traditional formulation, data are imagined to arrive in temporal succession. The estimation is carried out in real time so that, at each instant, the parameter estimate fully reflects all available data.Specifically, the monograph focuses on estimator sequences of the so- called differential correction type. The term "differential correction" refers to the fact that the difference between the components of the updated and previous estimators is proportional to the difference between the current observation and the value that would be predicted by the regression function if the previous estimate were in fact the true value of the unknown vector parameter. The vector of proportionality factors (which is generally time varying and can depend upon previous estimates) is called the "gain" or "smoothing" vector.The main purpose of this research is to relate the large- sample statistical behavior of such estimates (consistency, rate of convergence, large-sample distribution theory, asymptotic efficiency) to the properties of the regression function and the choice of smoothing vectors. Furthermore, consideration is given to the tradeoff that can be effected between computational simplicity and statistical efficiency through the choice of gains.Part I deals with the special cases of an unknown scalar parameter- discussing probability-one and mean-square convergence, rates of mean-square convergence, and asymptotic distribution theory of the estimators for various ch oices of the smoothing sequence. Part II examines the probability-one and mean-square convergence of the estimators in the vector case for various choices of smoothing vectors. Examples are liberally sprinkled throughout the book. Indeed, the last chapter is devoted entirely to the discussion of examples at varying levels of generality.If one views the stochastic approximation literature as a study in the asymptotic behavior of solutions to a certain class of nonlinear first-order difference equations with stochastic driving terms, then the results of this monograph also serve to extend and complement many of the results in that literature, which accounts for the authors' choice of title.The book is written at the first-year graduate level, although this level of maturity is not required uniformly. Certainly the reader should understand the concept of a limit both in the deterministic and probabilistic senses (i.e., almost sure and quadratic mean convergence). This much will assure a comfortable journey through the first fourth of the book. Chapters 4 and 5 require an acquaintance with a few selected central limit theorems. A familiarity with the standard techniques of large-sample theory will also prove useful but is not essential. Part II, Chapters 6 through 9, is couched in the language of matrix algebra, but none of the "classical" results used are deep. The reader who appreciates the elementary properties of eigenvalues, eigenvectors, and matrix norms will feel at home.MIT Press Research Monograph No. 42

  • The Field Equations

    This chapter postulates Maxwell's equations at the outset and proceeds to deduce the structure and properties of the field together with its relation to the source. The source of an electromagnetic field is a distribution of electric charge and current. Throughout the early history of electromagnetic theory the absolute electromagnetic system of units was employed for all scientific investigations. The integration of Maxwell's equations may be reduced to the determination of a vector and a scalar potential, which in homogeneous media satisfy one and the same differential equation. The chapter estimates the gradient, divergence, curl, and Laplacian in an orthogonal system of curvilinear coordinates, and deals with the simpler aspects of tensor calculus. To ensure the invariance of the field equations under a Lorentz transformation it is only necessary to assume that the four-current and the four-potential do indeed transform like vectors, and that the transform like field tensors.

  • Index

    This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum theory or quantum mechanics. The book explains quantum computation in terms of elementary linear algebra; it assumes the reader will have some familiarity with vectors, matrices, and their basic properties, but offers a review of all the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, this primer makes quantum algorithms accessible to students and researchers in computer science without the complications of quantum mechanical notation, physical concepts, and philosophical issues. After explaining the development of quantum operations and computations based on linear algebra, the book presents the major quantum algorithms, from seminal algorithms by Deutsch, Jozsa, and Simon through Shor's and Grover's algorithms to recent quan um walks. It covers quantum gates, computational complexity, and some graph theory. Mathematical proofs are generally short and straightforward; quantum circuits and gates are used to illuminate linear algebra; and the discussion of complexity is anchored in computational problems rather than machine models. _Quantum Algorithms via Linear Algebra_ is suitable for classroom use or as a reference for computer scientists and mathematicians.

  • Changong Structures, Vectors, and Objects

    This chapter contains sections titled: More Practice with Vectors, Collections of Structures with Cycles, Backtracking with State



Standards related to Vectors

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Jobs related to Vectors

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