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IEEE Conference on Vehicular Technology (VTC)

作者： Daniel V. de Lima João Paulo J. da Costa Antonio Arlis S. da Silva Giovanni A. Santos José Alfredo R. Vargas Auzuir R. de Alexandria Postgraduate Program in Telecommunications Engineering (PPGET) IFCE Fortaleza Brazil Hamm-Lippstadt University of Applied Sciences (HSHL) Lippstadt Germany Graduate School for Applied Research in North Rhine-Westphalia (PKNRW) Bochum Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Gennany Graduate Program in Computing (PPGC) UFRGS Porto Alegre Brazil Department of Electrical Engineering UnB Brasilia Brazil

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Vehicle-to-Everything (V2X) communication can considerably improve the efficiency and safety of autonomous driving and advanced driver-assistance systems (ADASs). However, V2X communication can be considerably degraded in the presence of cyberattacks, such as radio jamming. Traditionally, beamforming techniques can be applied to increase the signal-to-interference plus noise ratio (SINR). This paper evaluates broadband beamforming in the mmWave spectrum against radio jamming in V2X communication. The exploitation of the mm Wave spectrum in 5G-V2X communication has a natural advantage against radio jamming. First, attenuation is stronger in the mmWave spectrum in the range of 40 GHz or higher than in the traditional 5.9 GHz. Second, to generate broadband radio jamming, the radio jammer requires much more complex hardware and energy consumption. Third, by using broadband beamforming, broadband radio jamming can be considerably attenuated, limiting the degradation of the spectrum by the radio jamming. According to our numerical results, gains of close to 30 dB SINR can be achieved. We propose a broad-band beamforming technique based on the canonical polyadic decomposition via generalized eigenvalue decomposition (CPD-GEVD). The CPD-GEVD broadband beamforming outperforms state-of-the-art beamforming algorithms in most V2X scenarios presented in this paper.

关键词： Vehicular and wireless technologies Array signal processing Interference Attenuation Broadband communication Jamming Millimeter wave communication

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Accelerating GMRES with deep learning in real-time

arXiv

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arXiv 2021年

作者： Luna, Kevin Klymko, Katherine Blaschke, Johannes P. Program in Applied Mathematics The University of Arizona United States Computational Research Division Lawrence Berkeley National Laboratory United States National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory United States

GMRES is a powerful numerical solver used to find solutions to extremely large systems of linear equations. These systems of equations appear in many applications in science and engineering. Here we demonstrate a real-time machine learning algorithm that can be used to accelerate the time-to-solution for GMRES. Our framework is novel in that is integrates the deep learning algorithm in an in situ fashion: the AI-accelerator gradually learns how to optimizes the time to solution without requiring user input (such as a pre-trained data set). We describe how our algorithm collects data and optimizes GMRES. We demonstrate our algorithm by implementing an accelerated (MLGMRES) solver in Python. We then use MLGMRES to accelerate a solver for the Poisson equation - a class of linear problems that appears in may applications. Informed by the properties of formal solutions to the Poisson equation, we test the performance of different neural networks. Our key takeaway is that networks which are capable of learning non-local relationships perform well, without needing to be scaled with the input problem size, making them good candidates for the extremely large problems encountered in high-performance computing. For the inputs studied, our method provides a roughly 2× acceleration. Copyright © 2021, The Authors. All rights reserved.

关键词： Poisson equation

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Reliable Collaborative Semi-infrastructure Vehicle-to-Vehicle Communication for Local File Sharing 15th

Reliable Collaborative Semi-infrastructure Vehicle-to-Vehicl...

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15th EAI International Conference on Collaborative computing: Networking, Applications and Worksharing, CollaborateCom 2019

作者： Mokhtar, Bassem Azab, Mohamed Fathalla, Efat Ghourab, Esraa M. Magdy, Mohamed Eltoweissy, Mohamed Electrical Engineering Department Alexandria University Alexandria Egypt Computer Engineering Program School of Engineering and Applied Sciences Nile University Giza Egypt Computer and Information Sciences Virginia Military Institute LexingtonVA24450 United States Department of Electrical and Computer Engineering Old Dominion University NorfolkVA United States College of Computing and Information Technology Arab Academy for Science Technology and Maritime Transport Alexandria Egypt

ISBN: (纸本)9783030301453

Recently, Vehicular Cloud Communication (VCC) has been gaining momentum targeting intelligent and efficient data transmission. VCC is a type of mobile ad-hoc network comprising heterogeneous vehicles sharing their resources to perform collaborative activities. In this paper, we propose a new semi-infrastructure file-browsing in order to provide Network as a service (NaaS) enabling internet-independent browsing. In our scenario, a central management platform plays the role of controlling and managing the selection of relaying vehicles supporting the source to destination file transmission procedure. Nagel-Schreckenberg rules for traffic cellular automata (CA) are used as the basis for our scenario simulation. Nagel-Schreckenberg rules simulate the behavior of a group of hypothetical vehicles moving across a highway. We study the reliability and efficiency of file transfer in such settings. Simulation results show that the number of selected relays required to establish the network highly impacts the probability of successfully sending the requested files. In addition, the distances between the selected relays influence the network throughput and the probability of network failure. Moreover, the density of relays strongly affects the overall delay that occurs due to the continuous re-transmission of the selected files among different hops. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Vehicle to vehicle communications

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Electronic-photonic quantum systems on-chip

Electronic-photonic quantum systems on-chip

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Quantum 2.0, QUANTUM 2022

作者： Wang, Imbert Ramesh, Anirudh Kramnik, Danielius Fargas Cabanillas, Josep M. Stojanović, Vladimir Kumar, Prem Popović, Miloš A. Department of Electrical and Computer Engineering Photonics Center Boston University BostonMA02215 United States Graduate Program in Applied Physics Northwestern University EvanstonIL60208 United States Department of Electrical Engineering and Computer Science UC Berkeley BerkeleyCA94720 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States

We present progress towards realizing electronic-photonic quantum systems on-chip;particularly, entangled photon-pair sources, placing them in the context of previous work, and outlining our vision for mass-producible... 详细信息

ISBN: (纸本)9781957171111

关键词： Quantum entanglement

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K, T and D-like fuzzy Kripke models

K, T and D-like fuzzy Kripke models

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Annual Meeting of The North American Fuzzy Information Processing Society

作者： Bedregal, Benjamin Santiago, Regivan H. N. Benevides, Mario Viana, Petrucio Group of Logic Language Information Theory and Applications - LoLITA Department of Informatics and Applied Mathematics Federal University of Rio Grande Do Norte 59072-970 Natal-RN Brazil Program of Engineering of Systems and Computing - PESC Department of Computer Science Federal University of Rio de Janeiro 21941-972 Rio de Janeiro-RJ Brazil Department of Analysis Fluminense Federal University 24020-140 Niterói-RJ Brazil

ISBN: (纸本)9781612849676

The idea of a Kripke semantics endowed with possibility/plausibility information is not new;in fact there are different approaches for that;see: [6], [13], [16], [19]. This paper follows the approach found in [6], but whereas [6] provides a fixed interpretation for connectives into [0,1] here we provide a characterization of a fuzzy semantics for connectives in such a way that the resulting fuzzy frames: K, T and D, are described precisely by the set of statements which also describes, respectively, the usual modal systems K, T and D. © 2011 IEEE.

关键词： Semantics

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Tomographic reconstruction of time-bin-entangled qudits

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Physical Review A 2016年第4期94卷 042328-042328页

作者： Samantha J. Nowierski Neal N. Oza Prem Kumar Gregory S. Kanter Center for Photonic Communication and Computing EECS Department Northwestern University 2145 Sheridan Road Evanston Illinois 60208-3118 USA Graduate Program in Applied Physics Northwestern University Evanston Illinois 60208 USA Department of Physics and Astronomy Northwestern University 2145 Sheridan Road Evanston Illinois 60208-3112 USA

We describe an experimental implementation to generate and measure high-dimensional time-bin-entangled qudits. Two-photon time-bin entanglement is generated via spontaneous four-wave mixing in single-mode fiber. Unbalanced Mach-Zehnder interferometers transform selected time bins to polarization entanglement, allowing standard polarization-projective measurements to be used for complete quantum state tomographic reconstruction. Here we generate maximally entangled qubits (d=2), qutrits (d=3), and ququarts (d=4), as well as other phase-modulated nonmaximally entangled qubits and qutrits. We reconstruct and verify all generated states using maximum-likelihood estimation tomography.

关键词： Entanglement detection Entanglement manipulation Quantum entanglement Quantum tomography

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Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm

Detection of retinal microlesions through YOLOR-CSP architec...

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International Joint Conference on Neural Networks (IJCNN)

作者： Alejandro Pereira Carlos Santos Marilton Aguiar Daniel Welfer Marcelo Dias Marcelo Ribeiro Reza Ahmadi Computer Science Federal University of Pelotas - UFPel Pelotas Brazil Federal Institute of Education Science and Technology Farroupilha - IFFar Alegrete Brazil Postgraduate Program in Computing Federal University of Pelotas - UFPel Pelotas Brazil Department of Applied Computing Federal University of Santa Maria - UFSM Santa Maria Brazil Geobotica Brisbane Australia

Diabetic retinopathy affects millions of working-age people worldwide. Of the countries in Latin America, Brazil has the highest incidence of cases. Diabetic retinopathy is detected through images of the fundus that contain lesions such as hard exudates, soft exudates, microaneurysms, and hemorrhages. Early identification of these lesions prevents the progression of the disease, which leads to a decrease in visual capacity. In addition, the early identification of these lesions allows the screening of patients who need priority care. The detection of these lesions occurs through the processing and analysis of fundus images using deep learning models. In this work, we present a new method that uses the You Only Learn One Representation with Cross Stage Partial Network (YOLOR-CSP) architecture combined with the Slicing Aided Hyper Inference (SAHI) framework to detect lesions. The proposed method was trained, adjusted, and evaluated using the Dataset for Diabetic Retinopathy (DDR) and the Indian Diabetic Retinopathy Image Dataset (IDRiD). The proposed method obtained in the data set DDR mAP equal to 38.08%, in the validation set, and 22.25% in the test set with SGD optimizer. The presented results were superior in the detection of eye fundus lesions in comparison with similar works found in the state-of-the-art literature.

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An Availability Metric and Optimization Algorithms for Simultaneous Coverage of Targets and Areas by Wireless Visual Sensor Networks

An Availability Metric and Optimization Algorithms for Simul...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Daniel G. Costa Elivelton Rangel João Paulo J. Peixoto Thiago C. Jesus Department of Technology State University of Feira de Santana Feira de Santana Brazil Applied Computing Graduation Program State University of Feira de Santana Feira de Santana Brazil Federal Institute of Bahia Valença Brazil

The maturation of Wireless Visual Sensor Networks (WVSN) in the last years, with new communication technologies and continuous releasing of embedded hardware development platforms, has significantly enlarged the number and relevance of visual monitoring applications, better supporting smart city and Internet of Things initiatives. However, there are still several challenges to be addressed, especially when visual sensors are used for critical monitoring. When availability issues are addressed in WVSN, different metrics and algorithms can be employed, but such approaches are usually focused on a single coverage goal. Actually, some monitoring applications may want to simultaneously optimize coverage over targets and areas alike, which requires an appropriate perception of the level of availability of the application at any given time. In this context, this article proposes a new availability metric for WVSN, considering that all targets and areas should be optimally and simultaneously covered by the cameras. In addition, optimization algorithms are proposed and compared, aiming at improving the availability of applications when rotatable visual sensors are employed.

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Exploring cloud elasticity on developing an EPCGlobal-compliant middleware

Exploring cloud elasticity on developing an EPCGlobal-compli...

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IEEE International Conference on RFID

作者： Rodrigo da Rosa Righi Eduardo Souza dos Reis Gustavo Rostirolla Cristiano André da Costa Antonio Marcos Alberti Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos (Unisinos) São Leopoldo RC Brazil Instituto Nacional de Telecomunições (Inatel) Santa Rita do Sapucaí MG Brazil

The digital universe is growing at significant rates in recent years. One of the main responsible for this sentence is the Internet of Things (IoT), which requires middlewares capable of handling this increase of data volume in real-time. Solutions modeled at software, hardware and/or architecture level present limitations to handle such load, facing a scalability problem in the IoT scope. In this context, this article presents a model named Eliot (Elasticity-driven Internet of Things) which combines both cloud and high performance computing to address the IoT scalability problem in EPCglobal-compliant architectures. Based on the Eliot model, we developed a prototype that can run as a plugin solution together with any current EPCglobal-compliant middleware. The results are encouraging, presenting significant performance gains when comparing both elastic and non-elastic executions.

关键词： Elasticity Internet of things Monitoring Cloud computing Radiofrequency identification Computer architecture Load modeling

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The FANTOM5 collection, a data series underpinning mammalian transcriptome atlases in diverse cell types

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Scientific Data 2017年第1期4卷 170113页

作者： Kawaji, Hideya Kasukawa, Takeya Forrest, Alistair Carninci, Piero Hayashizaki, Yoshihide RIKEN Preventive Medicine and Diagnosis Innovation Program Wako Saitama 351-0198 Japan RIKEN Advanced Center for Computing and Communication Preventive Medicine and Applied Genomics Unit Yokohama Kanagawa 230-0045 Japan RIKEN Center for Life Science Technologies Division of Genomic Technologies Yokohama City Kanagawa 230-0045 Japan RIKEN Omics Science Center Yokohama City Kanagawa 230-0045 Japan Harry Perkins Institute of Medical Research Nedlands 6009 WA Australia

The latest project from the FANTOM consortium, an international collaborative effort initiated by RIKEN, generated atlases of transcriptomes, in particular promoters, transcribed enhancers, and long-noncoding RNAs, across a diverse set of mammalian cell types. Here, we introduce the FANTOM5 collection, bringing together data descriptors, articles and analyses of FANTOM5 data published across the Nature Research journals. Associated data are openly available for reuse by all. © 2017 The Author(s).

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