Search results for " array"

showing 10 items of 895 documents

A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
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Comparison of global responses to mild deficiency and excess copper levels in Arabidopsis seedlings

2013

[EN] Copper is an essential micronutrient in higher plants, but it is toxic in excess. The fine adjustments required to fit copper nutritional demands for optimal growth are illustrated by the diverse, severe symptoms resulting from copper deficiency and excess. Here, a differential transcriptomic analysis was done between Arabidopsis thaliana plants suffering from mild copper deficiency and those with a slight copper excess. The effects on the genes encoding cuproproteins or copper homeostasis factors were included in a CuAt database, which was organised to collect additional information and connections to other databases. The categories overrepresented under copper deficiency and copper e…

ArabidopsisBiophysicsFunctional homologchemistry.chemical_elementCircadian clockTransporterBiochemistryBiomaterialsTranscriptomeSuperoxide dismutaseStomatal closureGene Expression Regulation PlantIron homeostasisArabidopsisThalianamedicineHomeostasisArabidopsis thalianaGeneOligonucleotide Array Sequence AnalysisGeneticsDose-Response Relationship DrugbiologyArabidopsis ProteinsReverse Transcriptase Polymerase Chain ReactionSuperoxide DismutaseProteinMetals and AlloysBindingMicronutrientbiology.organism_classificationmedicine.diseaseCopperDNA-Binding ProteinschemistryBiochemistrySeedlingsChemistry (miscellaneous)biology.proteinFeedback loopTranscription factorTranscriptomeCopper deficiencyCopperTranscription FactorsMetallomics
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Oxidative stress response of tumor cells: microarray-based comparison between artemisinins and anthracyclines

2004

The antimalarial artemisinins also reveal profound cytotoxic activity against tumor cells. Artemisinins harbor an endoperoxide bridge whose cleavage results in the generation of reactive oxygen species (ROS) and/or artemisinin carbon-centered free radicals. Established cancer drugs such as anthracyclines also form ROS and free radicals that are responsible for the cardiotoxicity of anthracyclines. In contrast, artemisinins do not reveal cardiotoxicity. In the present investigation, we compared the cytotoxic activities of different artemisinins (artemisinin, artesunate, arteether, artemether, artemisitene, dihydroartemisinylester stereoisomers) in 60 cell lines of the National Cancer Institu…

ArtemisininsDaunorubicinAntineoplastic AgentsPharmacologyBiologymedicine.disease_causeBiochemistryAntimalarialsInhibitory Concentration 50parasitic diseasesTumor Cells CulturedmedicineAnimalsCluster AnalysisHumansIdarubicinAnthracyclinesDoxorubicinRNA MessengerArtemisininOligonucleotide Array Sequence AnalysisPharmacologyCardiotoxicityGene Expression ProfilingArtemisininsGene expression profilingOxidative StressDrug Screening Assays AntitumorOxidation-ReductionSesquiterpenesOxidative stressmedicine.drugBiochemical Pharmacology
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Highly Performant, Deep Neural Networks with sub-microsecond latency on FPGAs for Trigger Applications

2020

Artificial neural networks are becoming a standard tool for data analysis, but their potential remains yet to be widely used for hardware-level trigger applications. Nowadays, high-end FPGAs, often used in low-level hardware triggers, offer theoretically enough performance to include networks of considerable size. This makes it very promising and rewarding to optimize a neural network implementation for FPGAs in the trigger context. Here an optimized neural network implementation framework is presented, which typically reaches 90 to 100% computational efficiency, requires few extra FPGA resources for data flow and controlling, and allows latencies in the order of 10s to few 100s of nanoseco…

Artificial neural network010308 nuclear & particles physicsbusiness.industryPhysicsQC1-99901 natural sciencesData flow diagramMicrosecondEmbedded system0103 physical sciencesDeep neural networksLatency (engineering)010306 general physicsField-programmable gate arraybusinessEPJ Web of Conferences
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Support Tool for the Combined Software/Hardware Design of On-Chip ELM Training for SLFF Neural Networks

2016

Typically, hardware implemented neural networks are trained before implementation. Extreme learning machine (ELM) is a noniterative training method for single-layer feed-forward (SLFF) neural networks well suited for hardware implementation. It provides fixed-time learning and simplifies retraining of a neural network once implemented, which is very important in applications demanding on-chip training. This study proposes the data flow of a software support tool in the design process of a hardware implementation of on-chip ELM learning for SLFF neural networks. The software tool allows the user to obtain the optimal definition of functional and hardware parameters for any application, and e…

Artificial neural networkComputer sciencebusiness.industry020208 electrical & electronic engineering02 engineering and technologyComputer Science ApplicationsData flow diagramSoftwareControl and Systems EngineeringGate arrayEmbedded system0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSystem on a chipElectrical and Electronic EngineeringbusinessEngineering design processComputer hardwareInformation SystemsExtreme learning machineIEEE Transactions on Industrial Informatics
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Efficient MLP Digital Implementation on FPGA

2005

The efficiency and the accuracy of a digital feed-forward neural networks must be optimized to obtain both high classification rate and minimum area on chip. In this paper an efficient MLP digital implementation. The key features of the hardware implementation are the virtual neuron based architecture and the use of the sinusoidal activation function for the hidden layer. The effectiveness of the proposed solutions has been evaluated developing different FPGA based neural prototypes for the High Energy Physics domain and the automatic Road Sign Recognition domain. The use of the sinusoidal activation function decreases hardware resource employment of about 32% when compared with the standar…

Artificial neural networkbusiness.industryComputer scienceActivation functionField programmable gate arrays (FPGA)Sigmoid functionartificial neuralMachine learningcomputer.software_genreTransfer functionDomain (software engineering)Feedforward neural networkSystem on a chipArtificial intelligencebusinessField-programmable gate arraycomputerComputer hardwareNeural networks
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MOJAVE. XII. ACCELERATION AND COLLIMATION OF BLAZAR JETS ON PARSEC SCALES

2014

We report on the acceleration properties of 329 features in 95 blazar jets from the MOJAVE VLBA program. Nearly half the features and three-quarters of the jets show significant changes in speed and/or direction. In general, apparent speed changes are distinctly larger than changes in direction, indicating that changes in the Lorentz factors of jet features dominate the observed speed changes rather than bends along the line of sight. Observed accelerations tend to increase the speed of features near the jet base, $\lesssim 10-20$ parsecs projected, and decrease their speed at longer distances. The range of apparent speeds at fixed distance in an individual jet can span a factor of a few, i…

AstrofísicaAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysics01 natural sciencessymbols.namesakeAcceleration0103 physical sciencesBlazar010303 astronomy & astrophysicsVery Long Baseline ArrayHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsJet (fluid)Line-of-sightShock (fluid dynamics)010308 nuclear & particles physicsAstronomy and AstrophysicsAstrophysics - Astrophysics of GalaxiesGalaxyLorentz factorSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)AstronomiasymbolsAstrophysics - High Energy Astrophysical PhenomenaThe Astrophysical Journal
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Catching the radio flare in CTA 102

2013

We performed multifrequency multiepoch Very Long Baseline Array (VLBA) observations of the blazar CTA 102 during its 2006 radio flare, the strongest ever reported for this source. These observations provide an excellent opportunity to investigate the evolution of the physical properties of blazars, especially during these flaring events. We want to study the kinematic changes in the source during the strong radio outburst in April 2006 and test the assumption of a shock-shock interaction. This assumption is based on the analysis and modeling of the single-dish observations of CTA\,102 (Paper I). In this paper we study the kinematics of CTA 102 at several frequencies using VLBI observations.…

AstrofísicaCosmology and Nongalactic Astrophysics (astro-ph.CO)Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsKinematicsAstrophysics01 natural scienceslaw.inventionlaw0103 physical sciencesVery-long-baseline interferometryBlazar010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsVery Long Baseline ArrayHigh Energy Astrophysical Phenomena (astro-ph.HE)Physics010308 nuclear & particles physicsAstronomy and AstrophysicsViewing angleLight curveCTA-102Space and Planetary ScienceAstronomiaAstrophysics - High Energy Astrophysical PhenomenaAstrophysics - Cosmology and Nongalactic AstrophysicsFlareAstronomy & Astrophysics
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Muons in air showers at the Pierre Auger Observatory: Measurement of atmospheric production depth

2014

The surface detector array of the Pierre Auger Observatory provides information about the longitudinal development of the muonic component of extensive air showers. Using the timing information from the flash analog-to-digital converter traces of surface detectors far from the shower core, it is possible to reconstruct a muon production depth distribution. We characterize the goodness of this reconstruction for zenith angles around 60° and different energies of the primary particle. From these distributions, we define Xμmax as the depth along the shower axis where the production of muons reaches maximum. We explore the potentiality of Xμmax as a useful observable to infer the mass compositi…

AstrofísicaPhysics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsAstronomyCiencias Físicasmuonshadronic interaction modelsAstrophysics01 natural sciencesHigh Energy Physics - ExperimentAuger//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Air showersProduction depthSURFACE DETECTOR ARRAY[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsHigh-Energy Cosmic Rays[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]PhysicsDetectorAstrophysics::Instrumentation and Methods for Astrophysics[ SDU.ASTR.IM ] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Pierre Auger ObservatoryObservableInstrumentation and Detectors (physics.ins-det)COSMIC-RAYSlongitudinal developmentCore (optical fiber)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaCIENCIAS NATURALES Y EXACTAS[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Nuclear and High Energy Physics[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayNuclear physicscosmic rays[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesextensive air showers[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)ZenithCiencias ExactasPierre Auger ObservatoryMuon010308 nuclear & particles physics[ PHYS.ASTR.HE ] Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Física//purl.org/becyt/ford/1.3 [https]ASTROFÍSICA[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]AstronomíaMODELExperimental High Energy PhysicsHigh Energy Physics::Experiment[ SDU.ASTR.HE ] Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE][ PHYS.ASTR.IM ] Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]muonic componentSYSTEM
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Search for patterns by combining cosmic-ray energy and arrival directions at the Pierre Auger Observatory

2015

Energy-dependent patterns in the arrival directions of cosmic rays are searched for using data of the Pierre Auger Observatory. We investigate local regions around the highest-energy cosmic rays with E ≥ 6×1019 eV by analyzing cosmic rays with energies above E ≥ 5×1018 eV arriving within an angular separation of approximately 15∘. We characterize the energy distributions inside these regions by two independent methods, one searching for angular dependence of energy-energy correlations and one searching for collimation of energy along the local system of principal axes of the energy distribution. No significant patterns are found with this analysis. The comparison of these measurements with …

AstrofísicaPhysics and Astronomy (miscellaneous)Raycosmic radiation anisotropy cosmic radiation propagation cosmic radiation deflectionAstronomymagnetic fieldpAstrophysicsanisotropy [cosmic radiation]01 natural sciencesSettore FIS/04 - Fisica Nucleare e SubnucleareAugerPierre//purl.org/becyt/ford/1 [https]ObservatoryJetsQuantum Chromodynamicscosmic radiation: VHEenergy: correlationPatternsMonte Carlo010303 astronomy & astrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Physicscosmic radiation: propagationEnergyCOSMIC cancer databaseAngular distance[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]PhysicsSettore FIS/01 - Fisica SperimentaleSearchAstrophysics::Instrumentation and Methods for Astrophysicscosmic radiation anisotropyPierre Auger Observatorycosmic radiation: deflectionRadiación cósmicaAugerSurface Detector ArrayCosmicArrivalComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearAstrophysics - High Energy Astrophysical PhenomenaPrincipal axis theorem[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Regular Article - Experimental PhysicsAstrophysics::High Energy Astrophysical PhenomenaPhysics and Astronomy (miscellaneous) Engineering (miscellaneous).FOS: Physical sciencesCosmic ray530cosmic radiation: anisotropyParticle detectorSettore FIS/05 - Astronomia e AstrofisicaVHE [cosmic radiation]statistical analysisSpectrum0103 physical sciencesthrustddc:530Engineering (miscellaneous)AstrophysiqueCiencias ExactasPierre Auger Observatoryair: showerscosmic radiation propagationPhysics and Astronomy (miscellaneous); Engineering (miscellaneous)010308 nuclear & particles physicsturbulence[ PHYS.ASTR.HE ] Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]FísicaAstroparticles//purl.org/becyt/ford/1.3 [https]ASTROFÍSICAGalactic Magnetic-fieldcorrelation [energy]DirectionExperimental High Energy Physicscosmic radiation deflectionpropagation [cosmic radiation]direct detectiongalaxyObservatory[ SDU.ASTR.HE ] Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]deflection [cosmic radiation]showers [air]Model
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