Search results for "binary"

showing 10 items of 833 documents

Design and simulation of efficient combinational circuits based on a new XOR structure in QCA technology

2021

AbstractQuantum-dot cellular automata (QCA), due to its unique characteristics like low power consumption, nanoscale design, and high computing speed is considered as an emerging technology, and it can be used as an alternative for CMOS technology in circuit design for quantum computers in the near future. XOR gate has many applications in the design of digital circuits in QCA. In this paper, an efficient novel structure of XOR gate is proposed in QCA. Also, a novel 1-bit comparator circuit, 1-bit full adder, binary to gray and gray to binary convertor code based on the proposed XOR is designed and simulated using QCADesigner 2.0.3. The simulation results demonstrated that the proposed stru…

full adderAdderComparatorComputer scienceCircuit designelektroniset piiritBinary numberHardware_PERFORMANCEANDRELIABILITYElectronic engineeringHardware_INTEGRATEDCIRCUITSElectrical and Electronic EngineeringHardware_ARITHMETICANDLOGICSTRUCTURESXOR gateCombinational logicDigital electronicsbusiness.industrykvanttitietokoneetkvanttilaskentaconverterAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsCMOSsoluautomaatitbusinessquantum-dot cellular automataXOR gatecomparatorHardware_LOGICDESIGN
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The radio antipodal and radio numbers of the hypercube

2011

International audience; A radio k-labeling of a connected graph G is an assignment f of non negative integers to the vertices of G such that |f(x) − f(y)| \ge k + 1 − d(x, y), for any two vertices x and y, where d(x, y) is the distance between x and y in G. The radio antipodal number is the minimum span of a radio (diam(G) − 1)-labeling of G and the radio number is the minimum span of a radio (diam(G))-labeling of G. In this paper, the radio antipodal number and the radio number of the hypercube are determined by using a generalization of binary Gray codes.

generalized binary Gray code[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]graph labeling[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]radio numberradio antipodal number
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Classification of SD-OCT Volumes with LBP: Application to DME Detection

2015

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Our method is based on Local Binary Patterns (LBP) features to describe the texture of Optical Coherence Tomography (OCT) images and we compare different LBP features extraction approaches to compute a single signature for the whole OCT volume. Experimental results with two datasets of respectively 32 and 30 OCT volumes show that regardless of using low or high level representations, features derived from LBP texture have highly discriminative power. Moreover, the experimen…

genetic structuresLocal binary patternsComputer scienceDiabetic macular edemaSpectral domain02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptical coherence tomographyDiscriminative modelLBP0202 electrical engineering electronic engineering information engineeringmedicineDMEComputer vision[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingmedicine.diagnostic_testbusiness.industryeye diseasesDiabetic Macular EdemaOCT020201 artificial intelligence & image processingArtificial intelligencesense organsOptical Coherence Tomographybusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

2016

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Optical Coherence Tomography (OCT) has been a valuable diagnostic tool for DME, which is among the most common causes of irreversible vision loss in individuals with diabetes. Here, a classification framework with five distinctive steps is proposed and we present an extensive study of each step. Our method considers combination of various pre-processings in conjunction with Local Binary Patterns (LBP) features and different mapping strategies. Using linear and non-linear cl…

genetic structures[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Segmentationlcsh:OphthalmologySpeckleLBPDiagnosisPrevalencePreprocessorComputer visionSegmentationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingExperimental validationDiabetic Macular Edema[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory OrgansOptical Coherence Tomography[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingResearch ArticleArticle SubjectLocal binary patterns03 medical and health sciencesSpeckle patternOptical coherence tomography[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyMedical imagingmedicineDME[INFO.INFO-IM]Computer Science [cs]/Medical ImagingCoherence (signal processing)Texture[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansRetinopathy[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitioneye diseasesOphthalmologyOCTlcsh:RE1-994030221 ophthalmology & optometryImagesArtificial intelligencebusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Modeling and Mitigating Errors in Belief Propagation for Distributed Detection

2021

We study the behavior of the belief-propagation (BP) algorithm affected by erroneous data exchange in a wireless sensor network (WSN). The WSN conducts a distributed multidimensional hypothesis test over binary random variables. The joint statistical behavior of the sensor observations is modeled by a Markov random field whose parameters are used to build the BP messages exchanged between the sensing nodes. Through linearization of the BP message-update rule, we analyze the behavior of the resulting erroneous decision variables and derive closed-form relationships that describe the impact of stochastic errors on the performance of the BP algorithm. We then develop a decentralized distribute…

hajautetut järjestelmätFOS: Computer and information sciencesfactor graphsComputer scienceComputer Science - Information TheoryBinary number02 engineering and technologycommunication errorsBelief propagationcomputation errorslangaton tiedonsiirtooptimointiLinearizationalgoritmit0202 electrical engineering electronic engineering information engineeringlikelihood-ratio testmessage-passing algorithmsElectrical and Electronic EngineeringStatistical hypothesis testingdistributed systemsMarkov random fieldsignaalinkäsittelyInformation Theory (cs.IT)linear data-fusionsensoriverkot020206 networking & telecommunicationscooperative communicationsData exchange020201 artificial intelligence & image processingblind signal processingRandom variableWireless sensor networkAlgorithm
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Features of W production in p-p, p-Pb and Pb-Pb collisions

2017

We consider the production of inclusive W bosons in variety of high-energy hadronic collisions: p--p, p--$\overline{\rm p}$, p--Pb, and Pb--Pb. In particular, we focus on the resulting distributions of charged leptons from W decay that can be measured with relatively low backgrounds. The leading-order expressions within the collinearly factorized QCD indicate that the center-of-mass energy dependence at forward/backward rapidities should be well approximated by a simple power law. The scaling exponent is related to the small-$x$ behaviour of the quark distributions, which is largely driven by the parton evolution. An interesting consequence is the simple scaling law for the lepton charge as…

heavy ion: scatteringHadronPb-Pb collisionsPartonElementary particle02 engineering and technologycomputer.software_genrePower lawHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)background: lowHigh Energy Physics - Phenomenology (hep-ph)0202 electrical engineering electronic engineering information engineering[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]050107 human factorsBosonQuantum chromodynamicsPhysicsDatabasehigher-order: 0Hadronic collisionsCharge asymmetries05 social sciencesscalinghep-phCharged leptonsHigh Energy Physics - PhenomenologyCERN LHC CollParticle Physics - ExperimentQuarkInelastic scatteringParticle physicssmall-xquark: distribution functionp p: scatteringFOS: Physical sciencesW: decay114 Physical sciencesenergy dependence[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]W: productionquantum chromodynamicsanti-p p: scatteringCollision systems0501 psychology and cognitive sciencesHigh energy physicsp nucleus: scatteringBosonsParticle Physics - Phenomenologyhep-exlepton: charge: asymmetryfactorization: collinearHigh Energy Physics::PhenomenologyElementary particlesScaling exponent Lead alloys020207 software engineeringBinary alloysW bosonsLeading ordersrapidityevolution equation[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph][ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::Experimentcomputerhigh-energy hadronic collisionsLead Center-of-mass energiesLepton
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Time Unification on Local Binary Patterns Three Orthogonal Planes for Facial Expression Recognition

2019

International audience; Machine learning has known a tremendous growth within the last years, and lately, thanks to that, some computer vision algorithms started to access what is difficult or even impossible to perceive by the human eye. While deep learning based computer vision algorithms have made themselves more and more present in the recent years, more classical feature extraction methods, such as the ones based on Local Binary Patterns (LBP), still present a non negligible interest, especially when dealing with small datasets. Furthermore, this operator has proven to be quite useful for facial emotions and human gestures recognition in general. Micro-Expression (ME) classification is…

human eyeHistogramsgeometryUnificationComputer scienceLocal binary patternsoptimisationFeature extraction02 engineering and technologyhuman gestures recognitionFacial recognition systemcomputer visionVideos[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]time unification method03 medical and health sciences0302 clinical medicineMathematical modelLBPemotion recognition0202 electrical engineering electronic engineering information engineeringfacial emotionsfacial expression recognitionlocal binary patternsFace recognitionContextual image classificationArtificial neural networkbusiness.industryDeep learningdeep learning[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionComputational modelingmicroexpression classificationInterpolationorthogonal planesneural netsmachine learning[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Micro expressionFeature extraction020201 artificial intelligence & image processinglearning (artificial intelligence)Artificial intelligencebusiness030217 neurology & neurosurgeryGestureimage classification
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Total oxidation of propane using nanocrystalline cobalt oxide and supported cobalt oxide catalysts

2008

Abstract Supported and unsupported nanocrystalline cobalt oxides have been shown to be extremely efficient catalysts for the total oxidation of propane. Total conversion with a high stability has been achieved at reaction temperatures as low as 250 °C. In the present work, a comparison between the catalytic performance of bulk and alumina-supported nanocrystalline cobalt oxide catalysts has been made. The influence of crystallite size, nature of the support (alpha, gamma and mesoporous alumina) and cobalt loading, has been probed. Unsupported cobalt oxide catalysts were more active than any supported cobalt oxide catalysts. The catalytic activity was mainly dependent on the crystallite size…

inorganic chemicalsMaterials scienceProcess Chemistry and TechnologyInorganic chemistrychemistry.chemical_elementBinary compoundHeterogeneous catalysisCatalysisNanocrystalline materialCatalysischemistry.chemical_compoundchemistryAluminium oxideMesoporous materialCobaltCobalt oxideGeneral Environmental ScienceApplied Catalysis B: Environmental
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How mixing ionic liquids affects a Diels-Alder reaction

ionic liquids binary mixtures Diels-Alder reactionSettore CHIM/06 - Chimica Organica
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On the characterization of some [bmim][X]/co-solvent binary mixtures: a multidisciplinary approach by using kinetic, spectrophotometric and conductom…

2008

Abstract In order to study the intrinsic characteristics and to evaluate the structural variations determined by the addition of a co-solvent to 1-butyl-3-methylimidazolium tetrafluoroborate ([bmim][BF 4 ]) we examined the behaviour of some probes in [bmim][BF 4 ]/co-solvent binary mixtures. The rate constants of the piperidino-catalyzed rearrangement of the Z -phenylhydrazone of the 3-benzoyl-5-phenyl-1,2,4-oxadiazole into the relevant 4-benzoylamino-2,5-diphenyl-1,2,3-triazole as well as the spectrometric properties of pyrene and Nile Red were evaluated. With the same purpose also 1 H NMR and conductivity measurements were carried out. By comparison the behaviour of 1-butyl-3-methylimidaz…

ionic liquids binary mixtures MHR reaction spectrophometric measurementsTetrafluoroborateChemistryOrganic ChemistryNile redAnalytical chemistrySettore CHIM/06 - Chimica OrganicaConductivityBiochemistrychemistry.chemical_compoundReaction rate constantDrug DiscoveryIonic liquidProton NMRPyreneMoleculeTetrahedron
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