Search results for "work"

showing 10 items of 14511 documents

A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
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Work stress, fatigue and risk behaviors at the wheel: Data to assess the association between psychosocial work factors and risky driving on Bus Rapid…

2017

This Data in Brief (DiB) article presents a hierarchical multiple linear regression model that examine the associations between psychosocial work factors and risk behaviors at the wheel in Bus Rapid Transit (BRT) drivers (n=524). The data were collected using a structured self-administrable questionnaire made of measurements of wok stress (job strain and effort- reward imbalance), fatigue (need for recovery and chronic fatigue), psychological distress and demographics (professional driving experience, hours driven per day and days working per week). The data contains 4 parts: descriptive statistics, bivariate correlations between the study variables and a regression model predicting risk be…

Applied psychologyPoison controlPsychological distresslcsh:Computer applications to medicine. Medical informaticsRisk behaviorsTransportes0502 economics and businessPsychology0501 psychology and cognitive scienceslcsh:Science (General)Fatigue050107 human factorsSimulationBus rapid transitWork stress050210 logistics & transportationBus Rapid TransportMultidisciplinaryJob strainDescriptive statisticsFatiga05 social sciencesHuman factors and ergonomicsRegression analysisChronic fatigueProfessional driverslcsh:R858-859.7PsychologyEstrés laboralPsychosocialhuman activitiesBRTlcsh:Q1-390Data in Brief
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A matter of style? testing the moderating effect of driving styles on the relationship between job strain and work-related crashes of professional dr…

2020

Abstract Different empirical studies suggest that both job strain and driving styles are significant contributors to the work-related traffic crashes suffered by professional drivers. Nevertheless, the current evidence falls considerably short when explaining why driving styles may modify (or not) the relationship between occupational stressors and professional drivers’ safety outcomes. The aim of this study was to examine whether driving styles moderate the effect of job strain on professional drivers’ Work Traffic Crashes (WTCs). This research was performed using the data collected from a sample of 753 professional drivers, responding to a self-report questionnaire on job strain (work str…

Applied psychologyPsychological interventionVulnerabilityTransportationSample (statistics)Work relatedEmpirical researchJob strain0502 economics and business0501 psychology and cognitive sciences050107 human factorsApplied PsychologyCivil and Structural Engineering050210 logistics & transportationJob strainSeguretat viària05 social sciencesStressorSalud laboralConducción de automóvilJCQModerationProfessional driversAccidentes de tránsitoAutomotive EngineeringPsychologyhuman activities
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Session details: Data for good - disaster response and resilience

2018

Applied psychologySession (computer science)Disaster responsePsychologyResilience (network)Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age
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Development of handcrafted and deep based methods for face and facial expression recognition

2021

The research objectives of this thesis concern the development of new concepts for image segmentation and region classification for image analysis. This involves implementing new descriptors, whether color, texture, or shape, to characterize regions and propose new deep learning architectures for the various applications linked to facial analysis. We restrict our focus on face recognition and person-independent facial expressions classification tasks, which are more challenging, especially in unconstrained environments. Our thesis lead to the proposal of many contributions related to facial analysis based on handcrafted and deep architecture.We contributed to face recognition by an effectiv…

Apprentissage profondAnalyse d'images faciales[SPI.OTHER] Engineering Sciences [physics]/OtherMachine learningDeep neural networksDeep learningFacial image analysisRéseaux de neurones profondsApprentissage machineClassificationCnn
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Características de la micro, pequeña y mediana empresa asociadas a los tipos de tecnologías de comunicación y uso de medios sociales

2015

La dirección en la empresa y su gestión en internet posee un especial interés e importancia, principalmente manifestado en las revistas y periódicos actuales, y en menor medida en la literatura académica. Esta proliferación de nuevas tecnologías ha facilitado la revolución en las comunicaciones en diferentes medios, incluso el uso y la presencia de la empresa en medios sociales en la web. En este sentido, se presenta un resultado de investigación concerniente a explorar el uso de medios de comunicación en línea y de redes sociales y sus relaciones con 1) el tipo de empresa y 2) la apropiación de tecnologías digitales por parte de un conjunto de micro, pequeñas y medianas empresas en Bogotá.…

AppropriationGeographySocial networkOrder (business)business.industryEmerging technologiesField (Bourdieu)Social mediaThe InternetAdvertisingbusinessNewspaperPoliantea
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Investigating the Impact of Radiation-Induced Soft Errors on the Reliability of Approximate Computing Systems

2020

International audience; Approximate Computing (AxC) is a well-known paradigm able to reduce the computational and power overheads of a multitude of applications, at the cost of a decreased accuracy. Convolutional Neural Networks (CNNs) have proven to be particularly suited for AxC because of their inherent resilience to errors. However, the implementation of AxC techniques may affect the intrinsic resilience of the application to errors induced by Single Events in a harsh environment. This work introduces an experimental study of the impact of neutron irradiation on approximate computing techniques applied on the data representation of a CNN.

Approximate computingComputer scienceReliability (computer networking)Radiation effectsRadiation induced02 engineering and technologyneuroverkotExternal Data Representation01 natural sciencesConvolutional neural networkSoftwareHardware020204 information systems0103 physical sciences0202 electrical engineering electronic engineering information engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsResilience (network)mikroprosessoritNeutronsResilience010308 nuclear & particles physicsbusiness.industryReliabilityApproximate computingPower (physics)[SPI.TRON]Engineering Sciences [physics]/ElectronicsComputer engineeringsäteilyfysiikka[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsbusinessSoftware
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On Erlang B-formula and ERT method extension

2010

The key result of the paper is the theorem on traffic splitting and the ERT method extension for estimation of the throughput for schemes with traffic splitting. The excellent accuracy (relative error is less than 1%) is shown in numerical example. The paper also contains new Erlang-B formula algorithm for non-integer number of channels based on parabolic approximation.

Approximation theoryApproximation errorMathematical analysisComputer Science::Networking and Internet ArchitectureApplied mathematicsErlang (unit)MathematicsInternational Congress on Ultra Modern Telecommunications and Control Systems
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Reduced complexity models in the identification of dynamical networks: Links with sparsification problems

2009

In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be found in fields as diverse as Economics, Neuroscience and Biochemistry. The paper deals with the problem of deriving a descriptive model of a network, collecting the node outputs as time series with no use of a priori insight on the topology. We cast the problem as the optimization of a cost function operating a trade-off between accuracy and complexity in the final model. We address the problem of reducing the complexity by fixing a certain degree of sparsity, and trying to find the solution that “better” satisfi…

Approximation theoryMathematical optimizationSettore ING-INF/04 - AutomaticaDynamical systems theoryComputational complexity theoryNode (networking)A priori and a posteriorisparsification compressing sensing estimation networksNetwork topologyGreedy algorithmTopology (chemistry)MathematicsProceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
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Estado de la investigación sobre la colaboración en Entornos Virtuales de Aprendizaje

2019

El aprendizaje colaborativo posee una tradición teórica y práctica amplia en la educación general, como en la educación superior. No obstante, la actividad de coordinación entre personas que buscan aprender no es sencilla de gestionar. Esta complejidad aumenta cuando entre la actividad colaborativa surge un nuevo componente, la tecnología. ¿Qué se ha avanzado sobre el aprendizaje colaborativo mediado tecnológicamente? Este trabajo tiene como objetivo analizar el estado de la investigación sobre aprendizaje colaborativo en Educación Superior en los Entornos Virtuales de Aprendizaje (EVA). Para ello se realiza un análisis bibliométrico de las publicaciones indexadas de la base de datos SCOPUS…

AprendizajeTechnologyComputer Networks and CommunicationsTeachingTaprendizajeSocial Sciencescolaboracióneducación superiorTheory and practice of educationenseñanzaComputer Science ApplicationsEducationHBibliometricsEducación superiorBibliometríaLearningbibliometríaHigher educationCollaborativeColaboraciónLB5-3640Information SystemsEnseñanzaPixel-Bit
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