Search results for " CIRCUIT"

showing 10 items of 634 documents

Novel Fault-Tolerant Routing Technique for ZMesh Topology based Network-on-Chip Design

2020

This paper proposes a novel fault-tolerant routing technique for ZMesh topology based Network-on-Chip (NoC) design. The proposed algorithm caters the link faults and routes the data packets seamlessly to the destination. This algorithm has been compared with the existing techniques proposed for mesh topology counterparts. The experimentations have been carried out by increasing ZMesh network size and percentage of link faults. The results show that in the event of link failures the proposed algorithm routes the data from source to destination flawlessly.

Event (computing)Computer scienceNetwork packetMesh networking020206 networking & telecommunicationsFault toleranceTopology (electrical circuits)02 engineering and technologyLink (geometry)TopologyNetwork on a chip0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRouting (electronic design automation)2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
researchProduct

Hardware and firmware developments for the upgrade of the ATLAS Level-1 Central Trigger Processor

2014

The Central Trigger Processor (CTP) is the final stage of the ATLAS first level trigger system which reduces the collision rate of 40 MHz to a Level-1 event rate of 100 kHz. An upgrade of the CTP is currently underway to significantly increase the number of trigger inputs and trigger combinations, allowing additional flexibility for the trigger menu. We present the hardware and FPGA firmware of the newly designed core module (CTPCORE+) module of the CTP, as well as results from a system used for early firmware and software prototyping based on commercial FPGA evaluation boards. First test result from the CTPCORE+ module will also be shown.

Event (computing)business.industryComputer scienceFirmwareSoftware prototypingcomputer.software_genreUpgrademedicine.anatomical_structureTrigger concepts and systems (hardware and software)Atlas (anatomy)medicineLevel triggerDetectors and Experimental TechniquesField-programmable gate arraybusinessInstrumentationcomputerDigital electronic circuitsMathematical PhysicsComputer hardwareCollision rateJournal of Instrumentation
researchProduct

On the effects of the Double-Walled Tubes lay-out on the DEMO WCLL breeding blanket module thermal behavior

2019

Abstract The EU-DEMO Water-Cooled Lithium Lead Breeding Blanket (WCLL BB) concept foresees liquid Pb-15.7Li eutectic alloy as breeder and neutron multiplier, whereas pressurized subcooled water as coolant, with operative conditions typical of the PWR fission reactors (temperature in the range of 295–328 °C and pressure of 15.5 MPa). The cooling down of the BB is guaranteed by means of two separated cooling circuits: the one consisted in square channels housed within the complex of Side Walls and First Wall, and the one composed of a set of Double-Walled Tubes (DWTs) submerged in the Breeding Zone (BZ) and deputed to remove heat power therein generated. A parametric thermal study has been ca…

FEMBreeding BlanketMaterials scienceMechanical EngineeringNuclear engineeringBlanket7. Clean energy01 natural sciencesFinite element methodWCLL010305 fluids & plasmasCoolantSubcoolingNuclear Energy and Engineering0103 physical sciencesThermalGeneral Materials ScienceDWT010306 general physicsDEMOSettore ING-IND/19 - Impianti NucleariCooling downCivil and Structural EngineeringElectronic circuitParametric statisticsFusion Engineering and Design
researchProduct

Functions definable by numerical set-expressions

2011

A "numerical set-expression" is a term specifying a cascade of arithmetic and logical operations to be performed on sets of non-negative integers. If these operations are confined to the usual Boolean operations together with the result of lifting addition to the level of sets, we speak of "additive circuits". If they are confined to the usual Boolean operations together with the result of lifting addition and multiplication to the level of sets, we speak of "arithmetic circuits". In this paper, we investigate the definability of sets and functions by means of additive and arithmetic circuits, occasionally augmented with additional operations.

FOS: Computer and information sciencesComputer Science - Logic in Computer ScienceLogic0102 computer and information sciences01 natural sciencesTheoretical Computer Scienceexpressive powerSet (abstract data type)integer expressionArts and Humanities (miscellaneous)Saturation arithmeticBoolean expression0101 mathematicsElectronic circuitMathematics010102 general mathematicsTerm (logic)Logic in Computer Science (cs.LO)AlgebraArithmetic circuitdefinability010201 computation theory & mathematicsHardware and ArchitectureCascadeAlgebraic operationMultiplicationF.1.1SoftwareJournal of Logic and Computation
researchProduct

Human experts vs. machines in taxa recognition

2020

The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards the ability and logic of machines. In our study, we investigate both the differences in accuracy and in the identification logic of taxonomic experts and machines. We propose a systematic approach utilizing deep Convolutional Neural Nets with the transfer learning paradigm and extensively evaluate it over a multi-pose taxonomic dataset with hierarchical labels specifically created for this comparison. We also study the prediction accuracy on different ranks of taxonomic hier…

FOS: Computer and information sciencesComputer Science - Machine Learninghahmontunnistus (tietotekniikka)Computer scienceClassification approachTaxonomic expert02 engineering and technologyneuroverkotcomputer.software_genreConvolutional neural networkQuantitative Biology - Quantitative MethodsField (computer science)Machine Learning (cs.LG)Machine learning approachesStatistics - Machine LearningAutomated approachDeep neural networks0202 electrical engineering electronic engineering information engineeringTaxonomic rankQuantitative Methods (q-bio.QM)Classification (of information)Artificial neural networksystematiikka (biologia)Prediction accuracyIdentification (information)koneoppiminenMulti-image dataBenchmark (computing)020201 artificial intelligence & image processingConvolutional neural networksComputer Vision and Pattern RecognitionClassification errorsMachine Learning (stat.ML)Machine learningState of the artElectrical and Electronic EngineeringTaxonomySupport vector machinesLearning systemsbusiness.industryNode (networking)020206 networking & telecommunicationsComputer circuitsHierarchical classificationConvolutionSupport vector machineFOS: Biological sciencesTaxonomic hierarchySignal ProcessingBiomonitoringBenchmark datasetsArtificial intelligencebusinesscomputertaksonitSoftware
researchProduct

Exact quantum algorithms have advantage for almost all Boolean functions

2014

It has been proved that almost all $n$-bit Boolean functions have exact classical query complexity $n$. However, the situation seemed to be very different when we deal with exact quantum query complexity. In this paper, we prove that almost all $n$-bit Boolean functions can be computed by an exact quantum algorithm with less than $n$ queries. More exactly, we prove that ${AND}_n$ is the only $n$-bit Boolean function, up to isomorphism, that requires $n$ queries.

FOS: Computer and information sciencesNuclear and High Energy Physics81P68 03D15Parity functionBoolean circuitGeneral Physics and AstronomyFOS: Physical sciencesBoolean algebras canonically definedComputational Complexity (cs.CC)Theoretical Computer ScienceCombinatoricsBoolean expressionBoolean functionMathematical PhysicsComputer Science::DatabasesMathematicsDiscrete mathematicsSymmetric Boolean functionQuantum PhysicsProduct termComputer Science::Information RetrievalStatistical and Nonlinear PhysicsComputer Science - Computational ComplexityComputational Theory and MathematicsMaximum satisfiability problemQuantum Physics (quant-ph)
researchProduct

Probabilistic Memristive Networks: Application of a Master Equation to Networks of Binary ReRAM cells

2020

Abstract The possibility of using non-deterministic circuit components has been gaining significant attention in recent years. The modeling and simulation of their circuits require novel approaches, as now the state of a circuit at an arbitrary moment in time cannot be predicted deterministically. Generally, these circuits should be described in terms of probabilities, the circuit variables should be calculated on average, and correlation functions should be used to explore interrelations among the variables. In this paper, we use, for the first time, a master equation to analyze the networks composed of probabilistic binary memristors. Analytical solutions of the master equation for the ca…

FOS: Computer and information sciencesProbabilistic computingComputer scienceGeneral MathematicsGeneral Physics and AstronomyBinary numberFOS: Physical sciencesComputer Science - Emerging TechnologiesMemristorTopologylaw.inventionModeling and simulationComputer Science::Hardware ArchitectureComputer Science::Emerging TechnologieslawMaster equationMesoscale and Nanoscale Physics (cond-mat.mes-hall)Probabilistic logicElectronic circuitCondensed Matter - Materials ScienceCondensed Matter - Mesoscale and Nanoscale PhysicsApplied MathematicsProbabilistic logicMaterials Science (cond-mat.mtrl-sci)Statistical and Nonlinear PhysicsMoment (mathematics)Emerging Technologies (cs.ET)State (computer science)NetworksMemristors
researchProduct

Quantum pattern recognition in photonic circuits

2021

This paper proposes a machine learning method to characterize photonic states via a simple optical circuit and data processing of photon number distributions, such as photonic patterns. The input states consist of two coherent states used as references and a two-mode unknown state to be studied. We successfully trained supervised learning algorithms that can predict the degree of entanglement in the two-mode state as well as perform the full tomography of one photonic mode, obtaining satisfactory values in the considered regression metrics.

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Machine LearningData processingPhotonCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics and Astronomy (miscellaneous)business.industryComputer scienceMaterials Science (miscellaneous)FOS: Physical sciencesQuantum entanglementAtomic and Molecular Physics and OpticsMachine Learning (cs.LG)Pattern recognition (psychology)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)Coherent statesElectrical and Electronic EngineeringPhotonicsbusinessQuantum Physics (quant-ph)AlgorithmQuantumElectronic circuitQuantum Science and Technology
researchProduct

Metastable memristive lines for signal transmission and information processing applications

2016

Traditional studies of memristive devices have mainly focused on their applications in nonvolatile information storage and information processing. Here, we demonstrate that the third fundamental component of information technologies-the transfer of information-can also be employed with memristive devices. For this purpose, we introduce a metastable memristive circuit. Combining metastable memristive circuits into a line, one obtains an architecture capable of transferring a signal edge from one space location to another. We emphasize that the suggested metastable memristive lines employ only resistive circuit components. Moreover, their networks (for example, Y-connected lines) have an info…

FOS: Computer and information sciencesResistive touchscreenTheoretical computer scienceCondensed Matter - Mesoscale and Nanoscale PhysicsComputer scienceInformation storageInformation processingComputer Science - Emerging TechnologiesFOS: Physical sciencesHardware_PERFORMANCEANDRELIABILITY02 engineering and technologySignal edge021001 nanoscience & nanotechnology01 natural sciencesLine (electrical engineering)Emerging Technologies (cs.ET)MetastabilityComponent (UML)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesHardware_INTEGRATEDCIRCUITSElectronic engineering010306 general physics0210 nano-technologyElectronic circuitPhysical Review E
researchProduct

Molecular excited state calculations with adaptive wavefunctions on a quantum eigensolver emulation: reducing circuit depth and separating spin states

2021

Ab initio electronic excited state calculations are necessary for the quantitative study of photochemical reactions, but their accurate computation on classical computers is plagued by prohibitive resource scaling. The Variational Quantum Deflation (VQD) is an extension of the quantum-classical Variational Quantum Eigensolver (VQE) algorithm for calculating electronic excited state energies, and has the potential to address some of these scaling challenges using quantum computers. However, quantum computers available in the near term can only support a limited number of quantum circuit operations, so reducing the quantum computational cost in VQD methods is critical to their realisation. In…

FOS: Physical sciencesGeneral Physics and Astronomy02 engineering and technologyPhysics Atomic Molecular & Chemical7. Clean energy01 natural sciences09 EngineeringENERGYQuantum circuitquant-phQuantum mechanics0103 physical sciencesSinglet statePhysical and Theoretical Chemistry010306 general physicsWave functionQuantum computerSpin-½PhysicsQuantum PhysicsScience & Technology02 Physical SciencesChemical PhysicsChemistry PhysicalPhysics021001 nanoscience & nanotechnologyChemistryExcited statePhysical SciencesQuantum algorithm03 Chemical SciencesQuantum Physics (quant-ph)0210 nano-technologyGround stateFisicoquímicaPhysical Chemistry Chemical Physics
researchProduct