Search results for " Implementation"

showing 10 items of 156 documents

La Direttiva 2014/104/UE sul risarcimento dei danni per violazione della normativa antitrust dell'Unione Europea e la sua attuazione in Italia

2019

Con il d.lg. 13 gennaio 2017, n. 3, è stata data attuazione alla direttiva 2014/104/UE del Parlamento e del Consiglio del 26 novembre 2014, relativa a determinate norme che regolano le azioni per il risarcimento del danno ai sensi del diritto nazionale per violazioni delle disposizioni del diritto della concorrenza degli Stati membri e dell'Unione europea. Il saggio esamina criticamente le novità e le principali questioni interpretative poste dal nuovo testo. With the legislative decree 13 January 2017, n. 3, has been implemented in Italy the 2014/104 / EU directive of the Parliament and of the Council of 26 November 2014 , concerning certain rules governing actions for damages under nation…

Attuazione in ItaliaDiritto antitrust; Applicazione giudiziale; Azioni per danni; Direttiva EU; Attuazione in Italia; Antitrust; Private enforcement; Damage actions; EU Directive; Italian implementationAntitrustApplicazione giudizialeItalian implementationAntitrust - Private enforcement - Damage actions - EU Directive - Italian implementationDirettiva EUSettore IUS/04 - Diritto CommercialeDamage actionsEU DirectiveDiritto antitrustAzioni per danniSettore IUS/05 - Diritto Dell'EconomiaPrivate enforcementDiritto antitrust - Applicazione giudiziale - Azioni per danni - Direttiva EU - Attuazione in Italia
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CUSHAW2-GPU: Empowering Faster Gapped Short-Read Alignment Using GPU Computing

2014

We present CUSHAW2-GPU to accelerate the CUSHAW2 algorithm using compute unified device architecture (CUDA)-enabled GPUs. Two critical GPU computing techniques, namely intertask hybrid CPU-GPU parallelism and tile-based Smith-Waterman map backtracking using CUDA, are investigated to facilitate fast alignments. By aligning both simulated and real reads to the human genome, our aligner yields comparable or better performance compared to BWA-SW, Bowtie2, and GEM. Furthermore, CUSHAW2-GPU with a Tesla K20c GPU achieves significant speedups over the multithreaded CUSHAW2, BWA-SW, Bowtie2, and GEM on the 12 cores of a high-end CPU for both single-end and paired-end alignment.

BacktrackingComputer scienceParallel computingSoftware_PROGRAMMINGTECHNIQUESShort readComputational scienceCUDAParallel processing (DSP implementation)Hardware and ArchitectureParallelism (grammar)Electrical and Electronic EngineeringGeneral-purpose computing on graphics processing unitsSoftwareComputingMethodologies_COMPUTERGRAPHICSIEEE Design & Test
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Entanglement dynamics in superconducting qubits affected by local bistable impurities

2012

We study the entanglement dynamics for two independent superconducting qubits each affected by a bistable impurity generating random telegraph noise (RTN) at pure dephasing. The relevant parameter is the ratio $g$ between qubit-RTN coupling strength and RTN switching rate, that captures the physics of the crossover between Markovian and non-Markovian features of the dynamics. For identical qubit-RTN subsystems, a threshold value $g_\mathrm{th}$ of the crossover parameter separates exponential decay and onset of revivals; different qualitative behaviors also show up by changing the initial conditions of the RTN. We moreover show that, for different qubit-RTN subsystems, when both qubits are …

BistabilityDephasingCrossoverquantum statistical methodEntanglement measures witnesses and other characterizations Decoherence; open systems; quantum statistical methods; Quantum computation architectures and implementationsFOS: Physical sciencesQuantum computation architectures and implementationsQuantum entanglement01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della Materia010305 fluids & plasmasComputer Science::Emerging TechnologiesQuantum mechanics0103 physical sciencesExponential decay010306 general physicsMathematical PhysicsEntanglement measures witnesses and other characterizations DecoherencePhysicsQuantum PhysicsQuantum PhysicsCondensed Matter PhysicsAtomic and Molecular Physics and OpticsAmplitudeQubitopen systemQuantum Physics (quant-ph)
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Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study

2014

International audience; Smart camera, i.e. cameras that are able to acquire and process images in real-time, is a typical example of the new embedded computer vision systems. A key example of application is automatic fall detection, which can be useful for helping elderly people in daily life. In this paper, we propose a methodology for development and fast-prototyping of a fall detection system based on such a smart camera, which allows to reduce the development time compared to standard approaches. Founded on a supervised classification approach, we propose a HW/SW implementation to detect falls in a home environment using a single camera and an optimized descriptor adapted to real-time t…

Boosting (machine learning)Computer scienceReal-time computing02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]HW/SW implementationFast smart camera prototypingComputer graphicsReal-time fall detectionZynq0202 electrical engineering electronic engineering information engineering[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsSmart cameraArchitectureComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingHome environmentbusiness.industryEfficient algorithm[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SoC implementation020202 computer hardware & architectureEmbedded systemHardware accelerationBoosting hardware implementation[INFO.INFO-ES]Computer Science [cs]/Embedded Systems020201 artificial intelligence & image processingFall detectionbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingInformation SystemsJournal of Real-Time Image Processing
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Pilot action within the framework of the Mig-HealthCare project - implementation of community-based pilot studies addressing health inequalities of m…

2020

Abstract In the framework of the Mig-HealthCare project, a roadmap to community-based health care was developed including a toolbox and an algorithm. The Mig-HealthCare partners piloted parts of the roadmap in 8 EU countries. Piloting included actions on health promotion issues for migrants/refugees, mental health issues, non-communicable diseases, screening for breast and cervical cancer and vaccination issues. Two recommended practices were also piloted among migrants/refugees namely the 'circle of health' and health mentors while the Greek partner tested the developed algorithm in various health settings. All pilots were evaluated using common and pilot specific indicators for (a) approp…

Community basedInequalityProject implementationbusiness.industrymedia_common.quotation_subjectRefugeePublic Health Environmental and Occupational HealthMental healthHealth promotionAction (philosophy)NursingPolitical scienceHealth carebusinessmedia_commonEuropean Journal of Public Health
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Taking historical embeddedness seriously : Three historical approaches to advance strategy process and practice research

2016

International audience; Despite the proliferation of strategy process and practice research, we lack understanding of the historical embeddedness of strategic processes and practices. In this paper, we present three historical approaches with the potential to remedy this deficiency. First, realist history can contribute to a better understanding of the historical embeddedness of strategic processes; in particular, comparative historical analysis can explicate the historical conditions, mechanisms, and causality in strategic processes. Second, interpretative history can add to our knowledge of the historical embeddedness of strategic practices, and microhistory can specifically help to under…

Comparative historyEmbeddednessProcess (engineering)Strategy and ManagementAgency (philosophy)Microhistorystrategy processPractice research060104 historyPower (social and political)discourse theorycomparative historystrategy implementationpractise theoryManagement of Technology and Innovation0502 economics and business0601 history and archaeologyta615processSociologySocial sciencegenealogymicrohistory[SHS.ECO] Humanities and Social Sciences/Economics and Financeta51205 social sciences06 humanities and the arts[SHS.ECO]Humanities and Social Sciences/Economics and FinanceGeneral Business Management and AccountingCausalitypracticestrategy-as-practiceEpistemologyembeddedness[SHS.GESTION]Humanities and Social Sciences/Business administrationdiscoursestrategy[SHS.GESTION] Humanities and Social Sciences/Business administration050203 business & management
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Exploring parallel capabilities of an innovative numerical method for recovering image velocity vectors field

2010

In this paper an efficient method devoted to estimate the velocity vectors field is investigated. The method is based on a quasi-interpolant operator and involves a large amount of computation. The operations characterizing the computational scheme are ideal for parallel processing because they are local, regular and repetitive. Therefore, the spatial parallelism of the process is studied to rapidly proceed in the computation on distributed multiprocessor systems. The process has shown to be synchronous, with good task balancing and requiring a small amount of data transfer.

ComputationNumerical analysisProcess (computing)MultiprocessingField (computer science)Computational scienceComputer Science ApplicationsSettore MAT/08 - Analisi NumericaOperator (computer programming)Parallel processing (DSP implementation)Modeling and SimulationModelling and SimulationImage velocity vectors field Quasi-interpolant operator B-spline functions Distributed multiprocessor systemsAlgorithmMathematicsData transmissionMathematical and Computer Modelling
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An Scalable matrix computing unit architecture for FPGA and SCUMO user design interface

2019

High dimensional matrix algebra is essential in numerous signal processing and machine learning algorithms. This work describes a scalable square matrix-computing unit designed on the basis of circulant matrices. It optimizes data flow for the computation of any sequence of matrix operations removing the need for data movement for intermediate results, together with the individual matrix operations’ performance in direct or transposed form (the transpose matrix operation only requires a data addressing modification). The allowed matrix operations are: matrix-by-matrix addition, subtraction, dot product and multiplication, matrix-by-vector multiplication, and matrix by scalar multiplication.…

Computer Networks and CommunicationsComputer scienceMathematicsofComputing_NUMERICALANALYSISSistemes informàticslcsh:TK7800-836002 engineering and technologyScalar multiplicationComputational scienceMatrix (mathematics)matrix-computing unitTranspose0202 electrical engineering electronic engineering information engineeringmatrix processorElectrical and Electronic EngineeringCirculant matrixcirculant matricesFPGA020208 electrical & electronic engineeringlcsh:ElectronicsDot productMatrix multiplicationArquitectura d'ordinadorsHardware and ArchitectureControl and Systems Engineeringmatrix arithmeticSignal Processing020201 artificial intelligence & image processingMultiplicationhardware implementation
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Moving Learning Machine Towards Fast Real-Time Applications: A High-Speed FPGA-based Implementation of the OS-ELM Training Algorithm

2018

Currently, there are some emerging online learning applications handling data streams in real-time. The On-line Sequential Extreme Learning Machine (OS-ELM) has been successfully used in real-time condition prediction applications because of its good generalization performance at an extreme learning speed, but the number of trainings by a second (training frequency) achieved in these continuous learning applications has to be further reduced. This paper proposes a performance-optimized implementation of the OS-ELM training algorithm when it is applied to real-time applications. In this case, the natural way of feeding the training of the neural network is one-by-one, i.e., training the neur…

Computer Networks and CommunicationsComputer scienceReal-time computingParameterized complexitylcsh:TK7800-836002 engineering and technologyextreme learning machine0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)Electrical and Electronic EngineeringEnginyeria d'ordinadorsField-programmable gate arrayFPGAExtreme learning machineEnginyeria elèctricaArtificial neural networkData stream mininglcsh:Electronics020206 networking & telecommunicationsOS-ELMreal-time learningHardware and ArchitectureControl and Systems Engineeringon-chip trainingSignal Processingon-line learning020201 artificial intelligence & image processingDistributed memoryonline sequential ELMhardware implementationAlgorithm
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Selective Harmonic Elimination in a 5-Level Single Phase Converter with FPGA Based Controller

2018

Multilevel converters are becoming popular in high-power applications such as motor drives, renewable energy systems and distribution systems. Among all modulation techniques, selective harmonic elimination methods offer high quality voltage waveforms with operations at low switching frequency, hence, they are especially suitable for high-power applications. In this paper, a new analytical expression for the SHE problem formulated for a five-level converter is introduced, which is able to calculate the exact value of the switching angles. After a mathematical description of the proposed approach, this manuscript reports simulation and experimental results and analysis showing achievable res…

Computer scienceFive-level-inverter; analytical methods; selective harmonic elimination (SHE); real time implementationConvertersselective harmonic elimination (SHE)real time implementationHarmonic analysisanalytical methodsControl theoryModulationElectronic engineeringWaveformField-programmable gate arrayFive-level-inverterFrequency modulationVoltage2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA)
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