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IEEE International Conference on Image Processing

作者： Petros Nyfantis Pablo Ruiz Aggelos K. Katsaggelos Department of Physics National and Kapodistrian University of Athens Dpt. of Electrical Engineering and Computer Science Northwestern University

In this paper we address the Phase Retrieval problem, which aims to recover the phase of the Fourier transform of a signal when only magnitude measurements are available. Following recent developments in Phase Retrieval, the problem can be transformed into a convex semidefinite programming optimization problem, which can be solved using Matrix Completion techniques. In this paper the acquisition process is modeled using a likelihood function, which splits the original problem into two convex optimization problems, and alternates between the solution of each of them. To relate both convex problems we introduce a heuristic, which results in fast convergence of the proposed method.

关键词： Extraterrestrial measurements Optimization Convergence Minimization Heuristic algorithms Discrete Fourier transforms

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EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS

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Electronic Notes in Discrete Mathematics 2017年 58卷 79-86页

作者： Coelho, V.N. Coelho, I.M. Coelho, B.N. Souza, M.J.F. Guimarães, F.G. Luz, E.J. da S. Barbosa, A.C. Coelho, M.N. Netto, G.G. Costa, R.C. Pinto, A.A. Figueiredo, A. de P. Elias, M.E.V. Filho, D.C.O.G. Oliveira, T.A. Grupo da Causa Humana Ouro Preto Brazil Instituto de Pesquisa e Desenvolvimento de Tecnologias Ouro Preto Brazil Dpt. of Computer Science at Universidade Estadual do Rio de Janeiro Brazil Dpt. of Computer Science at Universidade Federal de Ouro Preto Brazil Dpt. of Electrical Engineering at Universidade Federal de Minas Gerais Brazil

Brain activity can be seen as a time series, in particular, electroencephalogram (EEG) can measure it over a specific time period. In this regard, brain fingerprinting can be subjected to be learned by machine learning techniques. These models have been advocated as EEG-based biometric systems. In this study, we apply a recent Hybrid Focasting Model, which calibrates its if-then fuzzy rules with a hybrid GVNS metaheuristic algorithm, in order to learn those patterns. Due to the stochasticity of the VNS procedure, models with different characteristics can be generated for each individual. Some EEG recordings from 109 volunteers, measured using a 64-channels EEGs, with 160 HZ of sampling rate, are used as cases of study. Different forecasting models are calibrated with the GVNS and used for the classification purpose. New rules for classifying the individuals using forecasting models are introduced. Computational results indicate that the proposed strategy can be improved and embedded in the future biometric systems. © 2017 Elsevier B.V.

关键词： Biometrics Brain fingerprinting Electroencephalogram Forecasting and Time series Variable Neighborhood Search

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Modiàed Kirchhoff diffraction of pulsed EM waves radiated from a slot-excited Fabry-Pérot resonator antenna 12

Modiàed Kirchhoff diffraction of pulsed EM waves radiated f...

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12th European Conference on Antennas and Propagation, EuCAP 2018

作者： Stumpf, Martin Vandenbosch, Guy A.E. Lager, Ioan E. SIX Research Centre Brno University of Technology Technická 3082/12 Brno616 00 Czech Republic Electrical Engineering Dpt. TELEMIC Katholieke Universiteit Leuven Kasteelpark Arenberg 10 bus 2444 LeuvenB-3001 Belgium Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands

ISBN: (纸本)9781785617911

Diffraction of pulsed electromagnetic (EM) waves in a slot excited Fabry Perót type resonator antenna is studied analytically in the modiÀed Kirchhoff approximation. Closed-form space-time expressions for the radiated EM Àelds are found using the Cagniard-DeHoop technique. Illustrative numerical examples are given. © 2018 Institution of engineering and *** Rights Reserved.

关键词： Diffraction

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Electromagnetic Analysis of Nanoscale Heterogeneity - The Domain-Integrated Perspective

Electromagnetic Analysis of Nanoscale Heterogeneity - The Do...

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European Conference on Microwave

作者： Ioan E. Lager Guy A. E. Vandenbosch Martin Štumpf Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology the Netherlands Electrical Engineering Dpt. Katholieke Universiteit Leuven Belgium SIX Research Centre Brno University of Technology the Czech Republic

This paper introduces a new paradigm in the electromagnetic (EM) analysis of largely inhomogeneous nanostructures. It is shown that the high degree of inhomogeneity may render the traditional discretisation of such topologies problematic. A new discretisation scheme that is much better matched to these topologies is proposed. The scheme involves a more adequate meshing and discretisation formalism, in conjunction with an original combination of dual space-time EM field quantities to be calculated. The pivotal field equations are elaborately discussed, with an emphasis on their computational implications.

关键词： Nonhomogeneous media Magnetics Face Integral equations Nanoscale devices Mathematical model Finite element analysis

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Subdividing triangular and quadrilateral meshes in parallel to approximate curved geometries

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Procedia engineering 2017年 203卷 310-322页

作者： A. Gargallo-Peiró G. Houzeaux X. Roca Computer Applications in Science and Engineering Dpt. Barcelona Supercomputing Center-Centro Nacional de Supercomputación C/ Jordi Girona 29 Barcelona 08034 Spain

A parallel distributed approach to refine a mesh while preserving the curvature of a target geometry is presented. Our approach starts by generating a coarse linear mesh of the computational domain. Second, the former coarse mesh is curved to match the curvature of the target geometry. Then, the curved mesh is partitioned and the subdomain meshes are sent to the slaves. Finally, the curved elements are uniformly subdivided in parallel targeting the geometry approximated by the curved mesh. The result is a distributed finer linear mesh featuring improved geometric accuracy. The key ingredient of our implementation is to approximate the target geometry as a linear mesh equipped with an elemental field corresponding to an element-wise polynomial geometry representation. Thus, the distribution of the curved geometry is equivalent to partitioning the linear mesh and sending the subdomain meshes and the elemental fields to the slaves. The main application of the obtained finer linear mesh is to compute in parallel steady state flow solutions on real topographies. The qualitative results show that for 2D and 3D steady state flow solutions, on real and synthetic topographies, our parallel subdivision approach mitigates the artificial artifacts that might appear with standard straight-sided subdivision methods. We also check the parallel performance of the implementation by performing a weak scalability test in 2D.

关键词： Mesh subdivision Mesh multiplication Parallel mesh generation Parallel computing High-order mesh

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Modified Kirchhoff diffraction of pulsed EM waves radiated from a slot-excited Fabry-Perot resonator antenna

Modified Kirchhoff diffraction of pulsed EM waves radiated f...

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12th European Conference on Antennas and Propagation (EuCAP 2018)

作者： Martin Štumpf Guy A. E. Vandenbosch Ioan E. Lager SIX Research Centre Brno University of Technology Technická 3082/12 616 00 Brno the Czech Republic Electrical Engineering Dpt. TELEMIC Katholieke Universiteit Leuven Kasteelpark Arenberg 10 bus 2444 B-3001 Leuven Belgium Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 2628 CD Delft the Netherlands

ISBN: (纸本)9781785618154;9781785618161

Diffraction of pulsed electromagnetic (EM) waves in a slot excited Fabry Perot type resonator antenna is studied analytically in the modified Kirchhoff approximation. Closed-form space-time expressions for the radiated EM fields are found using the Cagniard-DeHoop technique. Illustrative numerical examples are given.

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Efficient big data analysis on a single machine using apache spark and self-organizing map libraries

Efficient big data analysis on a single machine using apache...

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： David Andrešić Petr Šaloun Ioannis Anagnostopoulos Faculty of Electrical Engineering and Computer Science VŠB - Technical University of Ostrava Ostrava Czech republic Computer Science and Biomedical Informatics Dpt. University of Thessaly Lamia Greece

Apache Spark is commonly used as a big data analytical platform on powerful computer clusters, as it primarily employ the main computer memory for the evaluation. Our attempt adds self-organizing map software libraries onto a single big data analytical stack and is efficient and fast enough even on a standard single computer. This innovative approach brings the big data analysis to researchers with limited resources. Our genuine idea was experimentally confirmed and is described here. As a case study for our method we we used the available #Brexit data and the sentiment analysis of corresponding tweets and the correlation with the stock exchange data.

关键词： Sparks Stock markets Correlation Twitter Finance Big Data Industries

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Representing Urban Geometries for Unstructured Mesh Generation

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Procedia engineering 2016年 163卷 175-185页

作者： Abel Gargallo-Peiró Arnau Folch Xevi Roca Dpt. Computer Applications in Science and Engineering Barcelona Supercomputing Center C/ Jordi Girona 29 08034 Barcelona Spain

We present a robust and automatic method to generate an idealized surface geometry of a city landscape ready to be meshed for computer simulations. The city geometry is idealized for non viscous flow simulations and targets two main geometrical features: the topography and the city blocks. The procedure is fully automatic and demands no human interaction given the following source data: the city cadastre, a Digital Elevation Model (DEM) of all the target domain, and Light Detection And Ranging (LiDAR) data of the domain region covered by the cadastre. The geometry representation takes three main steps. First, a 2D mesh of the cadastre is generated, where the elements are marked according to street and block regions. Second, using a DEM of the city landscape the topography surface mesh is generated by finding the best surface mesh in the least-squares sense obtained by deforming the previous 2D mesh. Third, we extrude the block facades and we compute a planar ceiling taking into account all the buildings belonging to that city block. We describe the applicability of the geometry representation by presenting the work-flow required to generate an unstructured mesh valid for non-viscous flow or transport simulations. Finally, we illustrate the main application by obtaining a surface and tetrahedral mesh for the city of Barcelona in Spain.

关键词： Surface mesh generation Unstructured mesh generation Mesh for simulation Urban area mesh Microscale CFD

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Develop a new mobile-optimized remote experiment application for mobile learning 123

Develop a new mobile-optimized remote experiment application...

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123rd ASEE Annual Conference and Exposition

作者： Lan, Qianlong Wang, Ning Chen, Xuemin Song, Gangbing Parsaei, Hamid R. Texas Southern University Dpt. of Computer Science United States Texas Southern University Department of Electrical and Computer Engineering United States United States Texas A and M University Department of Mechanical Engineering United States

As Mobile Learning (M-Learning) has had a great impact on online education, more and more mobile applications are designed and developed for the M-Learning. In this paper, a novel mobile-optimized application architecture is proposed to integrate the remote laboratory into mobile environment for the M-Learning. With this mobile optimized application architecture, the remote experiment applications can use a common codebase to deploy native-like applications on many different mobile platforms (such as, iOS, Android, Window Mobile, etc.). To demonstrate the effectiveness of proposed new architecture for M-Learning, an innovative remote networked Smart Vibration Platform (SVP) experiment is successfully implemented based on this new application architecture. This remote SVP experiment has been used in several engineering courses. © American Society for engineering Education, 2016.

关键词： E-learning

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Using conceptors to manage neural long-term memories for temporal patterns

The Journal of Machine Learning Research

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The Journal of Machine Learning Research 2017年第1期18卷

作者： Herbert Jaeger Dpt. of Computer Science and Electrical Engineering Jacobs University Bremen Bremen Germany

Biological brains can learn, recognize, organize, and re-generate large repertoires of temporal patterns. Here I propose a mechanism of neurodynamical pattern learning and representation, called conceptors, which offers an integrated account of a number of such phenomena and functionalities. It becomes possible to store a large number of temporal patterns in a single recurrent neural network. In the recall process, stored patterns can be morphed and "focussed". Parametric families of patterns can be learnt from a very small number of examples. Stored temporal patterns can be content-addressed in ways that are analog to recalling static patterns in Hopfield networks.

关键词： neural dynamics neural long-term memory recurrent neural network temporal pattern learning

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