Search results for "work"

showing 10 items of 14511 documents

An Intelligent System for Energy Efficiency in a Complex of Buildings

2012

Energy efficiency has nowadays become one of the most challenging task for both academic and commercial organizations, and this has boosted research on novel fields, such as Ambient Intelligence. In this paper we address the issue of timely and ubiquitous monitoring of building complexes in order to optimize their energy consumption, and present an intelligent system addressed to the typical end user, i.e. the administrator, or responsible operator, of the complex. A three-level architecture has been designed for detecting the presence of the building inhabitants user and understanding their preferences with respect to the environmental conditions in order to optimize the overall energy eff…

Ambient Intelligence Energy Efficiency Wireless sensor and actuator networks
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An AmI-Based Software Architecture Enabling Evolutionary Computation in Blended Commerce: The Shopping Plan Application

2015

This work describes an approach to synergistically exploit ambient intelligence technologies, mobile devices, and evolutionary computation in order to support blended commerce or ubiquitous commerce scenarios. The work proposes a software architecture consisting of three main components: linked data for e-commerce, cloud-based services, and mobile apps. The three components implement a scenario where a shopping mall is presented as an intelligent environment in which customers use NFC capabilities of their smartphones in order to handle e-coupons produced, suggested, and consumed by the abovesaid environment. The main function of the intelligent environment is to help customers define shopp…

Ambient intelligenceArticle SubjectExploitDatabaseComputer Networks and CommunicationsComputer sciencebusiness.industryShopping mallCloud computingTK5101-6720computer.software_genreComputer Science ApplicationsTelecommunicationIntelligent environmentUbiquitous commerceSoftware architecturebusinessMobile devicecomputerMobile Information Systems
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Multi-sensor Fusion through Adaptive Bayesian Networks

2011

Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-off between performance and cost, by adapting the operating mode of the underlying sensory devices. Moreover, self-configuration of the nodes providing the evidence to the Bayesian network is carried out by means of an on-line multi-objective optimization.

Ambient intelligenceComputer sciencebusiness.industryMode (statistics)Ambient Intelligence Bayesian Networks Multi-objective optimization.Bayesian networkMachine learningcomputer.software_genreMulti-objective optimizationVariable-order Bayesian networkNoise (video)Artificial intelligenceData miningbusinesscomputerEnergy (signal processing)
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Motion sensors for activity recognition in an ambient-intelligence scenario

2013

In recent years, Ambient Intelligence (AmI) has attracted a number of researchers due to the widespread diffusion of unobtrusive sensing devices. The availability of such a great amount of acquired data has driven the interest of the scientific community in producing novel methods for combining raw measurements in order to understand what is happening in the monitored scenario. Moreover, due the primary role of the end user, an additional requirement of any AmI system is to maintain a high level of pervasiveness. In this paper we propose a method for recognizing human activities by means of a time of flight (ToF) depth and RGB camera device, namely Microsoft Kinect. The proposed approach is…

Ambient intelligencebusiness.industryComputer scienceSupport vector machineActivity recognitionActivity Recognition Ambient IntelligencePattern recognition (psychology)RGB color modelComputer visionArtificial intelligenceHidden Markov modelbusinessCluster analysisWireless sensor network2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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Sign Languages Recognition Based on Neural Network Architecture

2017

In the last years, many steps forward have been made in speech and natural languages recognition and were developed many virtual assistants such as Apple’s Siri, Google Now and Microsoft Cortana. Unfortunately, not everyone can use voice to communicate to other people and digital devices. Our system is a first step for extending the possibility of using virtual assistants to speech impaired people by providing an artificial sign languages recognition based on neural network architecture.

American Sign LanguageComputer sciencebusiness.industryTime delay neural networkDeep learningSpeech recognition020207 software engineering02 engineering and technologylanguage.human_languageRecurrent neural network0202 electrical engineering electronic engineering information engineeringNeural network architecturelanguage020201 artificial intelligence & image processingArtificial intelligencebusinessNatural languageSign (mathematics)
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Implementation of IFRS in Japan: An Analysis of Voluntary Adoption by Listed Firms

2019

Since 2010 Japanese listed firms can voluntarily use international financial reporting standards for their consolidated financial statements. Using financial and non-financial data, we carry out a comprehensive research into the adopters’ determinants. We employ a multi-period logit model that considers every annual decision made along the period 2010-2019. We find that the having outside networks through subsidiaries and a strong internal corporate governance system are key factors. We also confirm a contagion effect. Finally, our results suggest that goodwill is also relevant, since only Japanese accounting standards require annual amortization.

Amortization (business)business.industryCarry (investment)Corporate governanceSubsidiaryGoodwillAccountingInternational Financial Reporting StandardsbusinessNetwork effectMimetic isomorphismSSRN Electronic Journal
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ASE narrow‐band noise pulsing in erbium‐doped fiber amplifier and its effect on self‐phase modulation

2019

In this paper, we report a study of the features of polarized and unpolarized narrow-band amplified spontaneous emission (ASE) in a low-doped erbium fiber at 976-nm pumping. We demonstrate that ASE noise can be treated as a train of Gaussian-like pulses with random magnitudes, widths, and inter-pulse intervals. ASE noise can also provide a statistical analysis of these three parameters. We also present the data that reveal ASE noise’s role in optical spectrum broadening through self-phase modulation of light propagating in a communication fiber. In particular, the data show that the ASE noise derivative defines the broadening’s spectral shape.

Amplified spontaneous emissionMaterials scienceSpectral shape analysischemistry.chemical_elementPhysics::OpticsLaser02 engineering and technology01 natural sciencesASE010309 opticsErbiumOpticsFiber Bragg grating0103 physical sciencesComputer Science::Networking and Internet ArchitectureFiberSelf-phase modulationbusiness.industryFiber Optic021001 nanoscience & nanotechnologyDoped FiberAtomic and Molecular Physics and OpticsUNESCO::FÍSICA::Óptica ::Fibras ópticaschemistryModulation:FÍSICA::Óptica ::Fibras ópticas [UNESCO]0210 nano-technologybusinessNoise (radio)
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Fourier integral operators and inhomogeneous Gevrey classes

1988

Fourier integral operators with inhomogeneous amplitude and phase junction are studied in the frame of Gevrey classes. Applications are given to propagation of singularities for a pseudodifferential equation.

AmplitudeApplied MathematicsMathematical analysisFrame (networking)Mathematics::Analysis of PDEsMicrolocal analysisPhase (waves)Gravitational singularityMathematics::Spectral TheoryOscillatory integral operatorFourier integral operatorMathematicsAnnali di Matematica Pura ed Applicata
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Time trials versus time-to-exhaustion tests: Effects on critical power, W0, and oxygen-uptake kinetics

2018

Purpose: To investigate single-day time-to-exhaustion (TTE) and time-trial (TT) -based laboratory tests values of critical power (CP), W prime (W0), and respective oxygen-uptake-kinetic responses. Methods: Twelve cyclists performed a maximal ramp test followed by 3 TTE and 3 TT efforts interspersed by 60 min recovery between efforts. Oxygen uptake (VO 2) was measured during all trials. The mean response time was calculated as a description of the overall VO 2-kinetic response from the onset to 2 min of exercise. Results: TTE-determined CP was 279 ± 52 W, and TT-determined CP was 276 ± 50 W (P = .237). Values of W0 were 14.3 ± 3.4 kJ (TTE W0) and 16.5 ± 4.2 kJ (TT W0) (P = .028). While a hig…

Anaerobic work capacityVO 2 responsePower–duration relationshipSevere-intensity exercise
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Alla ricerca dei fattori rilevanti nell’adozione dei sistemi di gestione della performance nelle amministrazioni pubbliche territoriali. L’analisi di…

2013

La ricerca scientifica ha dimostrato che la gestione della performance nelle amministrazioni pubbliche sta oggi spostando il proprio focus dalla mera attività di raccolta e rendicontazione di dati alla generazione di informazioni atte a supportare la formulazione di decisioni. L’analisi comparativa dei casi di studio analizzati in questo articolo mira ad identificare i fattori critici sottostanti alla progettazione e all’utilizzo dei sistemi di gestione della performance nelle amministrazioni regionali. Da questa analisi emerge che alcune variabili risultano essenziali ai fini di un’efficace adozione dei sistemi di performance management. Tra queste variabili sono annoverabili: il ruolo del…

Analisi comparativaSettore SECS-P/07 - Economia AziendaleAmministrazioni pubbliche territorialiCiclo di gestione della performanceThe literature has shown that the focus on performance management is shifting from collecting and reporting data to actually using them for decision making. The comparative case-study analysis presented in this article aims to identify the critical factors for adopting and implementing relevant performance management systems in regional governments. The evidence emerging from this casestudy analysis finds that certain variables are essential to advancing our progress in performance management including the role of legislation the need for leadership and the characteristics of performance indicators. The hope of this research is to encourage regional administrators to embrace leadership roles in interpreting and applying legal frameworks for realizing the benefits of performance management.
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