Search results for "MEMORY"

showing 10 items of 2004 documents

Sparsity-Driven Digital Terrain Model Extraction

2020

We here introduce an automatic Digital Terrain Model (DTM) extraction method. The proposed sparsity-driven DTM extractor (SD-DTM) takes a high-resolution Digital Surface Model (DSM) as an input and constructs a high-resolution DTM using the variational framework. To obtain an accurate DTM, an iterative approach is proposed for the minimization of the target variational cost function. Accuracy of the SD-DTM is shown in a real-world DSM data set. We show the efficiency and effectiveness of the approach both visually and quantitatively via residual plots in illustrative terrain types.

FOS: Computer and information sciencesHardware_MEMORYSTRUCTURES010504 meteorology & atmospheric sciencesIterative methodComputer scienceComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesComputer Science - Computer Vision and Pattern RecognitionTerrain02 engineering and technologyFunction (mathematics)Hardware_PERFORMANCEANDRELIABILITYComputerSystemsOrganization_PROCESSORARCHITECTURES01 natural sciencesData setHardware_INTEGRATEDCIRCUITSExtraction (military)Digital elevation modelAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciences
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Modeling Networks of Probabilistic Memristors in SPICE

2021

Efficient simulation of stochastic memristors and their networks requires novel modeling approaches. Utilizing a master equation to find occupation probabilities of network states is a recent major departure from typical memristor modeling [Chaos, solitons fractals 142, 110385 (2021)]. In the present article we show how to implement such master equations in SPICE – a general purpose circuit simulation program. In the case studies we simulate the dynamics of acdriven probabilistic binary and multi-state memristors, and dc-driven networks of probabilistic binary and multi-state memristors. Our SPICE results are in perfect agreement with known analytical solutions. Examples of LTspice code are…

FOS: Computer and information sciencesHardware_MEMORYSTRUCTURESCondensed Matter - Mesoscale and Nanoscale PhysicsFOS: Physical sciencesComputer Science - Emerging TechnologiesComputer Science::Hardware ArchitectureEmerging Technologies (cs.ET)Computer Science::Emerging TechnologiesmemristorsspicenetworksMesoscale and Nanoscale Physics (cond-mat.mes-hall)lcsh:Electrical engineering. Electronics. Nuclear engineeringprobabilistic computinglcsh:TK1-9971Radioengineering
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Quantum algorithms for formula evaluation

2010

We survey the recent sequence of algorithms for evaluating Boolean formulas consisting of NAND gates.

FOS: Computer and information sciencesQuantum PhysicsHardware_MEMORYSTRUCTURESFOS: Physical sciencesComputational Complexity (cs.CC)Computer Science::PerformanceComputer Science::Hardware ArchitectureComputer Science - Computational ComplexityComputer Science::Emerging TechnologiesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Hardware_ARITHMETICANDLOGICSTRUCTURESQuantum Physics (quant-ph)Computer Science::Operating SystemsHardware_LOGICDESIGN
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Low-Power Audio Keyword Spotting using Tsetlin Machines

2021

The emergence of Artificial Intelligence (AI) driven Keyword Spotting (KWS) technologies has revolutionized human to machine interaction. Yet, the challenge of end-to-end energy efficiency, memory footprint and system complexity of current Neural Network (NN) powered AI-KWS pipelines has remained ever present. This paper evaluates KWS utilizing a learning automata powered machine learning algorithm called the Tsetlin Machine (TM). Through significant reduction in parameter requirements and choosing logic over arithmetic based processing, the TM offers new opportunities for low-power KWS while maintaining high learning efficacy. In this paper we explore a TM based keyword spotting (KWS) pipe…

FOS: Computer and information sciencesspeech commandSound (cs.SD)Computer scienceSpeech recognition02 engineering and technologykeyword spottingMachine learningcomputer.software_genreComputer Science - SoundReduction (complexity)Audio and Speech Processing (eess.AS)020204 information systemsFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkLearning automatabusiness.industrylearning automatalcsh:Applications of electric power020206 networking & telecommunicationslcsh:TK4001-4102Pipeline (software)Power (physics)machine learningTsetlin MachineMFCCKeyword spottingelectrical_electronic_engineeringScalabilityMemory footprintpervasive AI020201 artificial intelligence & image processingMel-frequency cepstrumArtificial intelligencebusinesscomputerartificial neural networkEfficient energy useElectrical Engineering and Systems Science - Audio and Speech Processing
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Routing quantum information in spin chains

2013

Two different models for performing efficiently routing of a quantum state are presented. Both cases involve an XX spin chain working as data bus and additional spins that play the role of sender and receivers, one of which is selected to be the target of the quantum state transmission protocol via a coherent quantum coupling mechanism making use of local/global magnetic fields. Quantum routing is achieved, in the first of the models considered, by weakly coupling the sender and the receiver to the data bus. In the second model, strong magnetic fields acting on additional spins located between the sender/receiver and the data bus allow us to perform high fidelity routing.

FOS: Physical sciencesNetworkQuantum capacityTopology01 natural sciencesAtomic mott insulatorSettore FIS/03 - Fisica Della Materia010305 fluids & plasmasQuantum stateAtomic and Molecular Physics0103 physical sciencesComputer Science::Networking and Internet ArchitectureQuantum couplingQuantum information010306 general physicsQuantum information scienceSystem busSpin-½PhysicsQuantum PhysicsHardware_MEMORYSTRUCTURESState transferAtomic and Molecular Physics and OpticsQuantum information quantum comunicationPhaseRouting (electronic design automation)and OpticsQuantum Physics (quant-ph)
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Recent Progress in FSMA Microactuator Developments

2009

The giant magneto-strain effect is particularly attractive for actuator applications in micro- and nanometer dimensions as it enables contact-less control of large deformations, which can hardly be achieved by other actuation principles in small space. Two different approaches are being pursued to develop ferromagnetic shape memory (FSMA) microactuators based on the magnetically induced reorientation of martensite variants: (1) the fabrication of free-standing epitaxial Ni-Mn-Ga thin film actuators in a bottom-up manner by magnetron sputtering, substrate release and integration technologies and (2) the top-down approach of thickness reduction of bulk Ni-Mn-Ga single crystals to foil specime…

FabricationMaterials sciencebusiness.industryMechanical EngineeringSubstrate (electronics)Shape-memory alloyStructural engineeringSputter depositionCondensed Matter PhysicsEngineering physicsMicroactuatorMechanics of MaterialsGeneral Materials ScienceThin filmActuatorbusinessFOIL methodMaterials Science Forum
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Can sad music really make you sad? Indirect measures of affective states induced by music and autobiographical memories

2012

The present study addressed music’s disputed ability to induce genuine sadness in listeners by investigating whether listening to sad music can induce sadness-related effects on memory and judgment. Related aims were to explore how the different mechanisms of music-induced emotions are involved in sadness induced by familiar, self-selected music and unfamiliar, experimenter-selected music, and whether the susceptibility to music-induced sadness is associated with trait empathy. One hundred twenty participants were randomly assigned into four conditions with different tasks: listening to unfamiliar sad or neutral music, or to self-selected sad music, or recalling a sad autobiographical event…

Facial expressionVisual Arts and Performing ArtsAutobiographical memorymedia_common.quotation_subjectEmpathySadnessMusic and emotionta6131Developmental and Educational PsychologyTraitPersonalityActive listeningPsychologySocial psychologyApplied Psychologyta515media_commonCognitive psychologyPsychology of Aesthetics, Creativity, and the Arts
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Stimulus Repetition Produces Automatic Facilitation in a Naming Task

1994

Repeated prime-target pairs in a lexical decision task showed improvement across 4 stimulus onset asynchronies for a single subject.

FacilitationLexical decision taskSemantic memoryExperimental and Cognitive PsychologyCognitionStimulus (physiology)PsychologyEpisodic memorySensory SystemsCognitive psychologyPerceptual and Motor Skills
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Falkland, the promised islands. Approaches to literature of the war

2018

Resumen: El presente artículo propone, en primer lugar, un acercamiento a la construcción nacional del relato sobre las Islas Malvinas. En segunda instancia se realiza un recorrido por la literatura que aborda la guerra de Malvinas a partir de tres focos narrativos: 1982-1989, 1990-2001 y 2002-2017. La periodización responde a las diferentes generaciones pero también a los procesos sociales que han acompañado una transformación política y cultural en Argentina. Finalmente, y como modo de detectar los principales géneros, tramas y conflictos narrativos que han surgido hasta este momento, se analizan las obras más representativas de cada periodo. Abstract: Firstly, this article proposes an ap…

Falkland Islandshistorical memorymemoria históricaArgentinian literatureguerranational narrativewarrelato nacionalIslas Malvinasliteratura argentina
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In vitro generated human memory-like T cells are CD95 type II cells and resistant towards CD95-mediated apoptosis

2006

An adaptive immune response implies expansion of activated T cells and subsequent elimination to maintain homeostasis in a process called activation-induced cell death. Some cells, however, differentiate into memory cells and ensure a strong secondary immune response. To analyze the apoptosis phenotype of memory T cells on a cellular and molecular level, we have established an in vitro model of T cell activation and generation of cells phenotypically and functionally similar to memory cells. These long-term cultured T cells show a CD95-resistant phenotype, although they are still sensitive towards TCR/CD3-mediated apoptosis. Biochemical analysis revealed that these cells shift from CD95 typ…

Fas Ligand ProteinT-LymphocytesT cellImmunologyCell Culture Techniquesbcl-X ProteinApoptosisLymphocyte ActivationmedicineHumansImmunology and AllergyCytotoxic T cellfas ReceptorIL-2 receptorAntigen-presenting cellCells CulturedCD40biologyZAP70Acquired immune systemNatural killer T cellMitochondriaUp-RegulationCell biologymedicine.anatomical_structureProto-Oncogene Proteins c-bcl-2biology.proteinImmunologic MemoryEuropean Journal of Immunology
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