Search results for "Hardware_INTEGRATEDCIRCUITS"

showing 4 items of 124 documents

Design and simulation of QCA-based 3-bit binary to gray and vice versa code converter in reversible and non-reversible mode

2022

The current Very Large-Scale Integration (VLSI) technology has reached its peak due to the fundamental physical limits of Complementary Metal-Oxide-Semiconductor (CMOS). Quantum-dot Cellular Automata (QCA) is considered a proper alternative to CMOS technology in digital circuit design. QCA has features like low power, small area, and high speed in nanoscale digital circuit design. A code converter is a circuit that converts a determined code to another one. Code converters such as Binary to Gray, Gray to Binary, and Binary to BCD converters have a crucial role in fast signal processing in digital systems. Also, code converters are used as a base unit for data transmission into the Arithmeti…

logiikkaohjelmointibinary to graykvanttitietokoneetHardware_INTEGRATEDCIRCUITSsoluautomaatitQuantum computingreversible logickvanttilaskentaElectrical and Electronic Engineeringquantum-dot cellular automatagray to binaryAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsOptik
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Mise en œuvre d’une architecture de gestion de collision pour le déploiement efficace d’un NoC sur multi-FPGA

2015

International audience; Le déploiement d’un NoC (Network On Chip) sur plusieurs FPGA nécessite que des routeurs partagent un même lien de communication entre FPGAs, créant des goulots d’étranglement [1]. Dans ce papier, nous proposons une structure de gestion de collision intégrée entre le NoC et le point d’accès du protocole FPGA. Cette structure est basée sur les algorithmes utilisés dans les réseaux informatiques et adaptée aux NoC [2].

multi-FPGAHardware_INTEGRATEDCIRCUITS[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systemsgestion de collisionsalgorithme de BackoffNoC[INFO.INFO-ES] Computer Science [cs]/Embedded Systems
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Latest Developments and Results of Radiation Tolerance CMOS Sensors with Small Collection Electrodes

2020

The development of radiation hard Depleted Monolithic Active Pixel Sensors (DMAPS) targets the replacement of hybrid pixel detectors to meet radiation hardness requirements of at least 1.5e16 1 MeV neq/cm2 for the HL-LHC and beyond. DMAPS were designed and tested in the TJ180 nm TowerJazz CMOS imaging technology with small electrodes pixel designs. This technology reduces costs and provides granularity of 36.4x36.4 um2 with low power operation (1 uW/pixel), low noise of ENC < 20 e-, a small collection electrode (3 um) and fast signal response within 25 ns bunch crossing. This contribution will present the latest developments after the MALTA and Mini-MALTA sensors. It will illustrate the imp…

noiseParticle tracking detectors ; Radiation-hard detectors ; Electronic detector readout concepts ; CMOS sensors ; Monolithic active pixel sensorsMaterials science010308 nuclear & particles physicsbusiness.industryintegrated circuitelectrode01 natural sciencesCMOSRadiation toleranceefficiency0103 physical sciencesElectrodeHardware_INTEGRATEDCIRCUITSelectronics: readoutOptoelectronicssemiconductor detector[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Detectors and Experimental Techniquescontrol system010306 general physicsbusiness
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Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining

2012

Purpose: The aim of this study was to demonstrate that modern data mining tools can be used as one step in reducing the labor necessary to produce and maintain systematic reviews. Methods: We used four continuously updated, manually curated resources that summarize MEDLINE-indexed articles in entire fields using systematic review methods (PDGene, AlzGene, and SzGene for genetic determinants of Parkinson disease, Alzheimer disease, and schizophrenia, respectively; and the Tufts Cost-Effectiveness Analysis (CEA) Registry for cost-effectiveness analyses). In each data set, we trained a classification model on citations screened up until 2009. We then evaluated the ability of the model to class…

text classificationTechnology Assessment BiomedicalDatabases FactualComputer scienceCost-Benefit AnalysisReview Literature as TopicHardware_PERFORMANCEANDRELIABILITYEmpirical Researchcomputer.software_genre03 medical and health sciences0302 clinical medicineMeta-Analysis as TopicAlzheimer DiseaseHardware_INTEGRATEDCIRCUITSData MiningHumanssupport vector machineOriginal Research Article030212 general & internal medicineGenetics (clinical)030304 developmental biologyGenetics0303 health sciencesParkinson DiseasePipeline (software)3. Good healthmeta-analysisReview Literature as Topicmachine learningSchizophreniaData miningPeriodicals as Topiccomputercitation screeningSoftwareGenetics in Medicine
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