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Conference of the North American Fuzzy Information processing Society - NAFIPS

作者： Mohammad Reza Rajati Jerry M. Mendel Signal and Image Processing Institute Ming Hsieh Department of Electrical Engineering Department of Mathematics University of Southern California Los Angeles CA USA Signal and Image Processing Institute Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA USA

ISBN: (纸本)9781479903467

In this paper, we synthesize interval type-2 fuzzy set models of linguistic probability words and linguistic quantifiers by applying the Enhanced Interval Approach to data collected from subjects about those words. We establish some user friendly sub-vocabularies of linguistic probabilities and linguistic modifiers, so that they can be used in advanced computing with words applications. The user friendly vocabularies are based on axioms of fuzzy probabilities.

关键词： Pragmatics Vocabulary Fuzzy sets Frequency selective surfaces Data models Computational modeling Mathematical model

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A mesh-based method for wavelet video coding using edge-detection in low frequency subband

A mesh-based method for wavelet video coding using edge-dete...

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2013 IEEE 4th Latin American Symposium on Circuits and Systems, LASCAS 2013

作者： Miok Kim Nam Ling Ralston, John D. Li, Song Department of Computer Engineering Santa Clara University CA 95053 United States Yosot Inc. 400 Capitol Mall Ste 3000 Sacramento CA 95814 United States Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781424494859

In this paper, we propose a mesh-based method for motion estimation and compensation over low frequency subband for wavelet video coding. We concentrate on edge-detection information and apply different parameters using edge magnitude and edge angle values to indicate curvature values for objects. This helps to detect motion patches between adjacent frames for meshes. We analyze and compare coding efficiency with a variety of video test sequences. Experimental results show that our mesh method improves coding performance for videos with less globally distributed motions compared to local motions. © 2013 IEEE.

关键词： Motion estimation

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Application layer FEC with long time interleaver and fast tune-in for mobile satellite TV services

Application layer FEC with long time interleaver and fast tu...

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International Conference on Computing, Networking and Communications (ICNC)

作者： Valentina Pullano Cornelius Hellge Manuel Hensel Giovanni E. Corazza Thomas Schicrl Department of Electronics Computer Science and Systems University of Bologna Bologna Italy Image Processing Department Fraunhofer HHI Multimedia Communications Group Berlin Germany Multimedia Communications Group Image Processing Department Fraunhofer HHI Berlin Germany Image Communication Laboratory Berlin Institute of Technology Berlin Germany

Satellite distribution provides a cost-efficient way to expand the coverage of mobile networks to rural areas. However, to become widely accepted by users and content providers, mobile satellite services need to provide a Quality of Experience (QoE) comparable to that of mobile video services provided in cellular networks. Mobile reception by satellite is characterized by shadowing periods where the Line-Of-Sight (LoS) is lost. The only way to overcome these outage periods is to provide the means for implementing long time interleaving. Nonetheless, existing approaches for long time interleaving come at the cost of a long service tune-in time, which may last in the satellite case up to several seconds. The present work aims at demonstrating the achievable performance using an innovative approach based on the use of long time interleaving and fast service tune-in by means of application-layer forward error correction (AL-FEC), Scalable Video Coding (SVC) and unequal time interleaving. Within this work we show the performance of the novel approach in the satellite context comparing it to existing solutions.

关键词： Forward error correction Mobile communication Satellites Static VAr compensators Decoding Satellite broadcasting Media

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Evolution of metabolic networks: A computational frame-work

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Journal of Systems Chemistry 2013年第1期1卷 1-14页

作者： Flamm, Christoph Ullrich, Alexander Ekker, Heinz Mann, Martin Högerl, Daniel Rohrschneider, Markus Sauer, Sebastian Scheuermann, Gerik Klemm, Konstantin Hofacker, Ivo L. Stadler, Peter F. Institute for Theoretical Chemistry University of Vienna 1090 Wien Währingerstraße 17 Austria Bioinformatics Group Department of Computer Science University of Leipzig D-04107 Leipzig Härtelstraße 16-18 Germany FH Campus Wien Diplom-Studiengang Bioengineering (Diploma Degree Course) 1190 Wien Muthgasse 18 Austria Bioinformatics Group Institute for Computer Science Albert-Ludwigs-University of Freiburg 79110 Freiburg Georges-Köhler-Alle 106 Germany Image and Signal Processing Group Department of Computer Science University of Leipzig D-04109 Leipzig Johannisgasse 26 Germany Max Planck Institute for Mathematics in the Sciences D-04103 Leipzig Inselstrasse 22 Germany Fraunhofer Institute for Cell Therapy and Immunology D-04103 Leipzig Perlickstraße 1 Germany Santa Fe Institute Santa Fe NM 87501 1399 Hyde Park Rd. United States

Background: The metabolic architectures of extant organisms share many key pathways such as the citric acid cycle, glycolysis, or the biosynthesis of most amino acids. Several competing hypotheses for the evolutionary mechanisms that shape metabolic networks have been discussed in the literature, each of which finds support from comparative analysis of extant genomes. Alternatively, the principles of metabolic evolution can be studied by direct computer simulation. This requires, however, an explicit implementation of all pertinent components: a universe of chemical reactions upon which the metabolism is built, an explicit representation of the enzymes that implement the metabolism, a genetic system that encodes these enzymes, and a fitness function that can be selected for. Results: We describe here a simulation environment that implements all these components in a simplified way so that large-scale evolutionary studies are feasible. We employ an artificial chemistry that views chemical reactions as graph rewriting operations and utilizes a toy-version of quantum chemistry to derive thermodynamic parameters. Minimalist organisms with simple string-encoded genomes produce model ribozymes whose catalytic activity is determined by an ad hoc mapping between their secondary structure and the transition state graphs that they stabilize. Fitness is computed utilizing the ideas of metabolic flux analysis. We present an implementation of the complete system and first simulation results. Conclusions: The simulation system presented here allows coherent investigations into the evolutionary mechanisms of the first steps of metabolic evolution using a self-consistent toy universe. © 2010 Flamm et al;licensee BioMed Central Ltd.

关键词： ORGANISMS KREBS cycle GLYCOLYSIS AMINO acids BIOSYNTHESIS

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The Infrared Multispectral image Simulation Research Based on 3D Scene

The Infrared Multispectral Image Simulation Research Based o...

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2013 3rd International Conference on Electric and Electronics(EEIC 2013)

作者： Bo Li Huai-ci Zhao Mei Du Jinfeng Lv Department of Optical-Electronics and Information Processing Shenyang Institute of automation Chinese Academy of Science University of Chinese Academy of Science Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Science Key Laboratory of Image Understanding and Computer Vision Shenyang Institute of Engineering

A method of generating infrared multispectral simulation images by 3D scene is presented. The infrared images at any observation angle of the scene and a data cube of simulation images of specific waveband could be generated by the method. Some experiments have been done in waveband 3～5μm to generate a data cube involving 401 infrared simulation images in the wavelength step 0.005μm, and the experiments results show that the simulation method presented in this paper could generate infrared multispectral images data cube rapidly. A way to reflect the differences while the observation angle changed is mentioned in this paper.

关键词： infrared multispectral simulation the data cube self-radiation

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Content-based image resizing on mobile devices

Content-based image resizing on mobile devices

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International Conference on computer Vision Theory and Applications, VISAPP 2012

作者： Battiato, Sebastiano Farinella, Giovanni Maria Grippaldi, Nicolò Puglisi, Giovanni Image Processing Laboratory Department of Mathematics and Computer Science University of Catania Catania Italy

ISBN: (纸本)9789898565044

Content-aware image resizing are effective algorithms that allow to take into account the visual content of images during the resizing process. Despite the technological advances in the context of mobile devices, content-aware image resizing algorithms are still far to be used on a hand held device due to the computational resources needed during the resizing. In this paper we afford this problem employing a method which has linear complexity with respect to the number of lines (rows/columns) to be reduced/augmented. The method has been tested, both qualitatively and quantitatively, on a mobile platform.

关键词： computer vision

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Joint Analysis of BICEP2/Keck Array and Planck Data

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Physical Review Letters 2015年第10期114卷 101301-101301页

作者： P. A. R. Ade N. Aghanim Z. Ahmed R. W. Aikin K. D. Alexander M. Arnaud J. Aumont C. Baccigalupi A. J. Banday D. Barkats R. B. Barreiro J. G. Bartlett N. Bartolo E. Battaner K. Benabed A. Benoît A. Benoit-Lévy S. J. Benton J.-P. Bernard M. Bersanelli P. Bielewicz C. A. Bischoff J. J. Bock A. Bonaldi L. Bonavera J. R. Bond J. Borrill F. R. Bouchet F. Boulanger J. A. Brevik M. Bucher I. Buder E. Bullock C. Burigana R. C. Butler V. Buza E. Calabrese J.-F. Cardoso A. Catalano A. Challinor R.-R. Chary H. C. Chiang P. R. Christensen L. P. L. Colombo C. Combet J. Connors F. Couchot A. Coulais B. P. Crill A. Curto F. Cuttaia L. Danese R. D. Davies R. J. Davis P. de Bernardis A. de Rosa G. de Zotti J. Delabrouille J.-M. Delouis F.-X. Désert C. Dickinson J. M. Diego H. Dole S. Donzelli O. Doré M. Douspis C. D. Dowell L. Duband A. Ducout J. Dunkley X. Dupac C. Dvorkin G. Efstathiou F. Elsner T. A. Enßlin H. K. Eriksen E. Falgarone J. P. Filippini F. Finelli S. Fliescher O. Forni M. Frailis A. A. Fraisse E. Franceschi A. Frejsel S. Galeotta S. Galli K. Ganga T. Ghosh M. Giard E. Gjerløw S. R. Golwala J. González-Nuevo K. M. Górski S. Gratton A. Gregorio A. Gruppuso J. E. Gudmundsson M. Halpern F. K. Hansen D. Hanson D. L. Harrison M. Hasselfield G. Helou S. Henrot-Versillé D. Herranz S. R. Hildebrandt G. C. Hilton E. Hivon M. Hobson W. A. Holmes W. Hovest V. V. Hristov K. M. Huffenberger H. Hui G. Hurier K. D. Irwin A. H. Jaffe T. R. Jaffe J. Jewell W. C. Jones M. Juvela A. Karakci K. S. Karkare J. P. Kaufman B. G. Keating S. Kefeli E. Keihänen S. A. Kernasovskiy R. Keskitalo T. S. Kisner R. Kneissl J. Knoche L. Knox J. M. Kovac N. Krachmalnicoff M. Kunz C. L. Kuo H. Kurki-Suonio G. Lagache A. Lähteenmäki J.-M. Lamarre A. Lasenby M. Lattanzi C. R. Lawrence E. M. Leitch R. Leonardi F. Levrier A. Lewis M. Liguori P. B. Lilje M. Linden-Vørnle M. López-Caniego P. M. Lubin M. Lueker J. F. Macías-Pérez B. Maffei D. Maino N. Mandolesi A. Mangilli M. Maris P. G. Martin E. Martínez-González S. Masi P. Mason S. Matarrese K. G. Megerian School of Physics and Astronomy Cardiff University Queens Buildings The Parade Cardiff CF24 3AA United Kingdom Institut d’Astrophysique Spatiale CNRS (UMR8617) Université Paris-Sud 11 Bâtiment 121 Orsay France Department of Physics Stanford University Stanford California 94305 USA California Institute of Technology Pasadena California USA Harvard-Smithsonian Center for Astrophysics 60 Garden Street MS 42 Cambridge Massachusetts 02138 USA Laboratoire AIM IRFU/Service d’Astrophysique–CEA/DSM–CNRS–Université Paris Diderot Bâtiment 709 CEA-Saclay F-91191 Gif-sur-Yvette Cedex France SISSA Astrophysics Sector via Bonomea 265 34136 Trieste Italy Université de Toulouse UPS-OMP IRAP F-31028 Toulouse cedex 4 France CNRS IRAP 9 Avenue colonel Roche BP 44346 F-31028 Toulouse cedex 4 France Joint ALMA Observatory Vitacura Santiago Chile Instituto de Física de Cantabria (CSIC-Universidad de Cantabria) Avenida de los Castros s/n Santander Spain APC AstroParticule et Cosmologie Université Paris Diderot CNRS/IN2P3 CEA/lrfu Observatoire de Paris Sorbonne Paris Cité 10 rue Alice Domon et Léonie Duquet 75205 Paris Cedex 13 France Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive Pasadena California USA Dipartimento di Fisica e Astronomia G. Galilei Università degli Studi di Padova via Marzolo 8 35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova via Marzolo 8 I-35131 Padova Italy University of Granada Departamento de Física Teórica y del Cosmos Facultad de Ciencias Granada Spain University of Granada Instituto Carlos I de Física Teórica y Computacional Granada Spain Institut d’Astrophysique de Paris CNRS (UMR7095) 98 bis Boulevard Arago F-75014 Paris France UPMC Université de Paris 06 UMR7095 98 bis Boulevard Arago F-75014 Paris France Institut Néel CNRS Université Joseph Fourier Grenoble I 25 rue des Martyrs Grenoble France Department of Physics and Astronomy University College London L

We report the results of a joint analysis of data from BICEP2/Keck Array and Planck. BICEP2 and Keck Array have observed the same approximately 400 deg2 patch of sky centered on RA 0 h, Dec. −57.5°. The combined maps reach a depth of 57 nK deg in Stokes Q and U in a band centered at 150 GHz. Planck has observed the full sky in polarization at seven frequencies from 30 to 353 GHz, but much less deeply in any given region (1.2 μK deg in Q and U at 143 GHz). We detect 150×353 cross-correlation in B modes at high significance. We fit the single- and cross-frequency power spectra at frequencies ≥150 GHz to a lensed-ΛCDM model that includes dust and a possible contribution from inflationary gravitational waves (as parametrized by the tensor-to-scalar ratio r), using a prior on the frequency spectral behavior of polarized dust emission from previous Planck analysis of other regions of the sky. We find strong evidence for dust and no statistically significant evidence for tensor modes. We probe various model variations and extensions, including adding a synchrotron component in combination with lower frequency data, and find that these make little difference to the r constraint. Finally, we present an alternative analysis which is similar to a map-based cleaning of the dust contribution, and show that this gives similar constraints. The final result is expressed as a likelihood curve for r, and yields an upper limit r0.05<0.12 at 95% confidence. Marginalizing over dust and r, lensing B modes are detected at 7.0σ significance.

关键词： STOKES equations FREQUENCIES of oscillating systems POWER spectra GRAVITATIONAL waves

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Binarization in magnetic resonance images (MRI) of human head scans with intensity inhomogeneity 12

Binarization in magnetic resonance images (MRI) of human hea...

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2nd International Conference on Computational Science, Engineering and Information, CCSEIT 2012

作者： Somasundaram, K. Genish, T. Department of Computer Science and Applications Image Processing Lab Gandhigram Rural Institute Gandhigram Tamil Nadu India

ISBN: (纸本)9781450313100

Medical image segmentation plays a crucial role in identifying the shape and structure of human anatomy. The most widely used image segmentation algorithms are edge-based and typically rely on the intensity homogeneity of the image at the edges, which often fail to provide accurate segmentation results due to the intensity inhomogeneity. This paper proposes a boundary detection technique for segmenting the hippocampus (the subcortical structure in medial temporal lobe) from MRI with intensity inhomogeneity without ruining its boundary and structure. The image is pre-processed using a noise filter and morphology based operations. An optimal intensity threshold is then computed. We have used mean, top-hat and bottom hat filters for noise removal and Ridler Calvard method to compute the threshold value. Our method has been validated on human brain sagittal MRI, with desirable performance in the presence of intensity inhomogeneity. The proposed method works well even for weak edge. Experimental results show that our method can be used to detect boundary for accurate segmentation of hippocampus. The proposed method takes no more than 2 seconds for boundary detection. Copyright © 2012 ACM.

关键词： Magnetic resonance

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A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data

A new fuzzy c-means method with total variation regularizati...

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作者： He, Yanyan Yousuff Hussaini, M. Ma, Jianwei Shafei, Behrang Steidl, Gabriele Department of Mathematics Florida State University Tallahassee FL United States Fraunhofer ITWM Image Processing Department Kaiserslautern Germany Department of Mathematics University of Kaiserslautern Germany Institute of Applied Mathematics Harbin Institute of Technology Harbin China

The objective function of the original (fuzzy) c-mean method is modified by a regularizing functional in the form of total variation (TV) with regard to gradient sparsity, and a regularization parameter is used to balance clustering and smoothing. An alternating direction method of multipliers in conjunction with the fast discrete cosine transform is used to solve the TV-regularized optimization problem. The new algorithm is tested on both synthetic and real data, and is demonstrated to be effective and robust in treating images with noise and missing data (incomplete data). © 2012 Elsevier Ltd. All rights reserved.

关键词： image segmentation

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Brain segmentation in magnetic resonance images using fast Fourier transform 1

Brain segmentation in magnetic resonance images using fast F...

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1st International Conference on Emerging Trends in Science, Engineering and Technology, INCOSET 2012

作者： Somasundaram, K. Gayathri, S.P. Image Processing Lab Department of Computer Science and Applications Gandhigram Rural Institute - Deemed University Gandhigram Tamilnadu624302 India

ISBN: (纸本)9781467351447

Magnetic Resonance images (MRI) are used to produce images of soft tissues of human body. It is used to analyze the human organs. Automatic detection and Segmentation of the brain can result in early detection and intervention for a number of brain diseases. In this paper, we propose Fast Fourier Transform (FFT) based method to remove or subdue the low intensity noise and thus it makes accurate segmentation of brain images. However, accurate segmentation of the MRI images is very important and crucial for the exact diagnosis by computer aided clinical tools. In this work, T2-weighted image is first transformed into frequency domain. By multiplying FFT with high pass filter, we obtained a filtered image. The inverse transform function is used to get the real part of the filtered image. By using thresholding technique, we removed low intensity from the filtered image. Assuming largest connected component is brain in MRI brain images, labeling and largest connected component (LCC) techniques are used to obtain the brain mask from which the brain is segmented. © 2012 IEEE.

关键词： Fast Fourier transforms

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