Search results for "soft"

showing 10 items of 9809 documents

Visual spike-based convolution processing with a Cellular Automata architecture

2010

this paper presents a first approach for implementations which fuse the Address-Event-Representation (AER) processing with the Cellular Automata using FPGA and AER-tools. This new strategy applies spike-based convolution filters inspired by Cellular Automata for AER vision processing. Spike-based systems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. AER is a neuromorphic communication protocol for transferring asynchronous events between VLSI spike-based chips. These neuro-inspired implementations allow developing complex, multilayer, multichip neuromorphic systems and have been used to design sensor chips, such as retinas an…

Very-large-scale integrationSignal processingTheoretical computer scienceArtificial neural networkComputer sciencebusiness.industrySensory systemCellular automatonConvolutionNeuromorphic engineeringAsynchronous communicationSpike (software development)businessComputer hardwareThe 2010 International Joint Conference on Neural Networks (IJCNN)
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Optimized FPGA-implementation of quadrature DDS

2003

This paper presents the optimized implementation of high performance quadrature direct digital synthesizers (DDS). Although VLSI designs and optimizations have already been discussed in the literature they may not be successfully translated into an FPGA-based technology. This work examines each phase-to-amplitude mapping technique, such as ROM compression and partitioning techniques and the CORDIC algorithm, and it proposes the most suitable structure for Virtex FPGAs in order to obtain the most efficient implementation in terms of area and throughput.

Very-large-scale integrationSignal processingVirtexDirect digital synthesizerComputer architectureComputer sciencebusiness.industrySoftware-defined radiobusinessField-programmable gate arrayDigital signal processing2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)
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Machine Learning approach towards real time assessment of hand-arm vibration risk

2021

Abstract In industry 4,0, the establishment of an interconnected environment where human operators cooperate with the machines offers the opportunity for substantially improving the ergonomics and safety conditions of the workplace. This topic is discussed in the paper referring to the vibration risk, which is a well-known cause of work-related pathologies. A wearable device has been developed to collect vibration data and to segment the signals obtained in time windows. A machine learning classifier is then proposed to recognize the worker’s activity and to evaluate the exposure to vibration risks. The experimental results demonstrate the feasibility and effectiveness of the methodology pr…

VibrationLearning classifier systemControl and Systems EngineeringComputer scienceTime windowsbusiness.industryWearable computerArtificial intelligenceMachine learningcomputer.software_genrebusinesscomputerHand armIFAC-PapersOnLine
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A Crisis Management Serious Game for Responding Extreme Weather Event

2017

Managing crisis with limited resources through a serious game is deemed as one of the ways of training and can be regarded as an alternative to the table-top exercise. This paper presents the so-called “Operasjon Tyrsdal” serious game, inspired by a real case of extreme weather that hit the west coast of Norway. This reference case is used to add realism to the game. The game is designed for a single player, while the mechanics are framed in such way that the player should deal with limited resources, and elevated event pressure over time to manage. Beside applying an iterative Scrum method with seven Sprint cycles, we combined the development work with desk research and involvement of test…

Video game developmentComputer sciencebusiness.industryEvent (computing)05 social sciencesEnvironmental resource managementComputingMilieux_PERSONALCOMPUTING02 engineering and technologyCrisis managementComputer securitycomputer.software_genreScrumExtreme weatherWork (electrical)Action (philosophy)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencesbusinesscomputer050107 human factorsDesk
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Identifying critical incidents in naturalistic driving data: experiences from a promoting real life observation for gaining understanding of road use…

2013

The methodology of naturalistic driving observation aspires to observe the driver and his environment while driving in natural driving settings. It is of great importance in research on road safety as this method of observing road users eliminates the disadvantages of traditional methods like simulator studies or interviews. However, it produces vast such amounts of data and challenges data reduction and data analysis. Therefore automatic methods for filtering critical incidents based on thresholds for numerical data are often applied to select the data to be analysed. This study reports a small-scale field trial in Valencia, Spain, which was conducted within the promoting real life observa…

Video recordingEngineeringbusiness.industryMechanical EngineeringContrast (statistics)TransportationComputer securitycomputer.software_genreData scienceData qualityField trialScale (social sciences)Naturalistic drivingbusinessLawcomputerGeneral Environmental ScienceData reductionRoad userIET Intelligent Transport Systems
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Unpacking the black‐box of students' visual attention in Mathematics and English classrooms: Empirical evidence using mini‐video recording gadgets

2020

ANID/PIA/Basal Funds for Centers of Excellence FB0003 Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) CONICYT FONDECYT 3170062

Video recordingUnpackingExcellenceLearner engagementmedia_common.quotation_subjectTeaching methodComputer softwareMathematics educationVisual attentionEmpirical evidenceComputer Science ApplicationsEducationmedia_commonJournal of Computer Assisted Learning
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Video Visualization of Predictors of Emotions Dynamically Expressed by Music

2013

Music is particularly appreciated for its capacity of evoking a large range of emotions. A growing area of research in music psychology and computer music endeavors to understand and model the role of the different constituents of music in its overall emotional impact. Whereas research so far has mainly focused on global musical and emotional descriptions, our project investigates more in detail the relationship between the dynamic evolution of musical content and the dynamic development of the resulting emotional reaction. We introduce a new method for predicting the dynamic appreciation of emotion based on audio and musical descriptions. We focus on one particular emotion: power. We propo…

Video visualizationMultimediaMusic and emotionDynamics (music)Music psychologyEnergy (esotericism)Computer musicMusicalcomputer.software_genrePsychologycomputerFocus (linguistics)Cognitive psychology2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
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Hierarchical Parallelization of an H.264/AVC Video Encoder

2006

Last generation video encoding standards increase computing demands in order to reach the limits on compression efficiency. This is particularly the case of H.264/AVC specification that is gaining interest in industry. We are interested in applying parallel processing to H.264 encoders in order to fulfill the computation requirements imposed by stressing applications like video on demand, videoconference, live broadcast, etc. Given a delivered video quality and bit rate, the main complexity parameters are image resolution, frame rate and latency. These parameters can still be pushed forward in such a way that special purpose hardware solutions are not available. Parallel processing based on…

VideoconferencingComputer scienceComputationMessage passingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONParallel computingLatency (engineering)computer.software_genreVideo qualityFrame rateEncoderImage resolutioncomputerInternational Symposium on Parallel Computing in Electrical Engineering (PARELEC'06)
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Discovering Homophily in Online Social Networks

2018

During the last ten years, Online Social Networks (OSNs) have increased their popularity by becoming part of the real life of users. Despite their tremendous widespread, OSNs have introduced several privacy issues as a consequence of the nature of the information involved in these services. Indeed, the huge amount of private information produced by users of current OSNs expose the users to a number of risks. The analysis of the users’ similarity in OSNs is attracting the attention of researchers because of its implications on privacy and social marketing. In particular, the homophily between users could be used to reveal important characteristics that users would like to keep hidden, hence …

Viral marketingComputer scienceComputer Networks and CommunicationsInternet privacy02 engineering and technologyInformation SystemHomophilyHomophilyViral marketing020204 information systemsSimilarity (psychology)0202 electrical engineering electronic engineering information engineeringInformation systemPrivate information retrievalOnline Social NetworkOnline Social Networksbusiness.industryPopularitySocial marketingTie strengthPrivacy preservingHardware and ArchitectureHomophily; Online Social Networks; Privacy preserving; User profiling; Viral marketing; Software; Information Systems; Hardware and Architecture; Computer Networks and Communications020201 artificial intelligence & image processingUser profilingbusinessSoftwareInformation Systems
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Fragmentation and Coverage Variation in Viral Metagenome Assemblies, and Their Effect in Diversity Calculations

2015

Metagenomic libraries consist of DNA fragments from diverse species, with varying genome size and abundance. High-throughput sequencing platforms produce large volumes of reads from these libraries, which may be assembled into contigs, ideally resembling the original larger genomic sequences. The uneven species distribution, along with the stochasticity in sample processing and sequencing bias, impacts the success of accurate sequence assembly. Several assemblers enable the processing of viral metagenomic data de novo, generally using overlap layout consensus or de Bruijn graph approaches for contig assembly. The success of viral genomic reconstruction in these datasets is limited by the de…

Viral metagenomicsHistologyOTUlcsh:BiotechnologySpecies distributionBiomedical EngineeringSequence assemblyBioengineeringComputational biologyBiologyassemblercomputer.software_genreGenomediversitylcsh:TP248.13-248.65Alpha diversityGenome sizeOriginal ResearchContigBioengineering and BiotechnologyMetagenomicsAlpha diversityBioinformacticsData miningviral metagenomicscomputerBiotechnologyFrontiers in Bioengineering and Biotechnology
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