Conferences related to Fractals

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2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.


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Periodicals related to Fractals

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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.


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 ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Fractals

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Xplore Articles related to Fractals

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Correction to "Resampling and reconstruction with fractal interpolation functions"

[{u'author_order': 1, u'full_name': u'J.R. Price'}, {u'author_order': 2, u'full_name': u'M.H. Hayes'}] IEEE Signal Processing Letters, 1998

None


Fractals: not just another pretty picture

[{u'author_order': 1, u'full_name': u'G. Zorpette'}] IEEE Spectrum, 1988

The reduction of imagery to a set of fractals as a way to achieve greatly improved image compression is examined. A practical system that took about 100 hours to compress a 780-by-1024-pixel image, but achieved compression ratios greater than 1000 to 1, was demonstrated. The performance of the approach and the extent of its applicability are discussed. Some military applications ...


Multi-dimensional piece-wise self-affine fractal interpolation model

[{u'author_order': 1, u'affiliation': u'Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing 100084, China', u'full_name': u'Tong Zhang'}, {u'author_order': 2, u'affiliation': u'Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing 100084, China', u'full_name': u'Zhuo Zhuang'}] Tsinghua Science and Technology, 2007

Iterated function system (IFS) models have been used to discrete sequences where the attractor of the IFS is piece-wise self-affine in R2or R3(R is the set of real numbers). In this paper, the piece-wise self-affine IFS model is extended from R3to Rn.(n is an integer greater than 3), which is called the multi-dimensional piece-wise self-affine fractal interpolation model. This model ...


IEE Colloquium on 'Application of Fractal Techniques in Image Processing' (Digest No.171)

[] IEE Colloquium on Application of Fractal Techniques in Image Processing, 1990

None


Queuing and Performance Evaluation of Telecommunication Networks under Traffic Self‐Similarity Conditions

[{u'author_order': 1, u'affiliation': u'Moscow State Technical University of Service, Russia', u'full_name': u'Oleg Sheluhin'}, {u'author_order': 2, u'affiliation': u'Moscow Power Engineering Institute, Russia', u'full_name': u'Sergey Smolskiy'}, {u'author_order': 3, u'affiliation': u'Moscow State Technical University of Service, Russia', u'full_name': u'Andrew Osin'}] Self-Similar Processes in Telecommunications, None

This chapter contains sections titled:Traffic Fractality Influence Estimate on Telecommunication Network QueuingEstimate of Voice Traffic Self‐Similarity Effects on the IP Networks Input Parameter OptimizationTelecommunication Network Parameters Optimization Using the Tikhonov Regularization ApproachEstimation of the Voice Traffic Self‐Similarity Influence on QoS with Frame Relay NetworksBandwidth Prediction in Telecommunication NetworksCongestion Control of Self‐Similar TrafficReferences


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Educational Resources on Fractals

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IEEE-USA E-Books

  • Queuing and Performance Evaluation of Telecommunication Networks under Traffic Self‐Similarity Conditions

    This chapter contains sections titled:Traffic Fractality Influence Estimate on Telecommunication Network QueuingEstimate of Voice Traffic Self‐Similarity Effects on the IP Networks Input Parameter OptimizationTelecommunication Network Parameters Optimization Using the Tikhonov Regularization ApproachEstimation of the Voice Traffic Self‐Similarity Influence on QoS with Frame Relay NetworksBandwidth Prediction in Telecommunication NetworksCongestion Control of Self‐Similar TrafficReferences

  • Principal Concepts of Fractal Theory and Self‐Similar Processes

    This chapter contains sections titled:Fractals and MultifractalsSelf‐Similar Processes‘Heavy Tails’Hurst Exponent EstimationHurst Exponent Estimation ProblemsSelf‐Similarity Origins in Telecommunication TrafficReferences

  • Simulation Methods for Fractal Processes

    This chapter contains sections titled:Fractional Brownian MotionFractional Gaussian NoiseRegression Models of TrafficFractal Point ProcessFractional Levy Motion and its Application to Network Traffic ModellingModels of Multifractal Network TrafficLRD Traffic Modelling with the Help of Wavelets_M/G/_∞ModelReferences

  • Partitioned Fractal Interpolation

    This chapter studies the application of fractal image coding to interpolate images. It focuses on partitioned fractal image (PFI) representation based on iterated function system (IFS). The convergence of the IFS defined by a contractive transformation is the result of the “fixed‐point theorem”. The direct application of the IFS suggests the representation of any given image as contractive transformation of itself. The main idea of the fractal image interpolation is rather simple. It is based on the assumption that the fractal coding is really a fractal process and the fractal code's attractor is a fractal object. Fractal image representation technique is a block‐based technique, and hence blocking fractal artifact is observed to be heavy and considered to be the most important visual artifact in the decoded image. When this technique is applied to interpolate an image, the blocking artifact is emphasized and is usually highly visible.

  • Fractal Related Methods for Predicting Protein Structure Classes and Functions

    The prediction of protein structure and function from amino acid sequences is one of the most important and challenge problems in molecular biology. The fractal methods and related wavelet analysis, recurrence quantification analysis (RQA) and empirical mode decomposition (EMD) methods were used to study the prediction of protein structure classes and functions. This chapter reviews the methods and results in these studies. Some of these methods include: chaos game representation of proteins and related time series; wavelet spectrum; and empirical mode decomposition and similarity of proteins. From the overall analyses, the authors found that the measure representation based on the detailed HP model and six-letter model, time series representation based on physicochemical features of amino acids, Z-curve representation, the chaos game representation of proteins can provide much information for predicting structure classes and functions of proteins. Fractal methods are useful to analyze protein sequences.



Standards related to Fractals

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