Search results for " Process"

showing 10 items of 17204 documents

Recensione a: Promuovere ambienti educativi sicuri. Prevenire gli abusi nei contesti ecclesiali, a cura di Raffaella Sette, Simone Tuzza

2021

Book Review: Promoting Safe Educational Environments. Preventing Abuses in Ecclesial Contexts, by Raffaella Sette, Simone Tuzza

groomingpreventionSettore SPS/08 - Sociologia Dei Processi Culturali E ComunicativiCatholic churchSettore SPS/07 - Sociologia Generaleabusesexuality
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Rassegna internazionale di Gruppoanalisi

2008

gruppi fenomeni e processi culturali legame sociale
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Intereses par grāmatām sekmēšana 5-6 gadus veciem bērniem

2020

Diplomdarbs izstrādāts par tematu „Intereses par grāmatām sekmēšana 5-6 gadus veciem bērniem” Darba mērķis: pētīt piecgadīgu bērnu intereses par grāmatu veicināšanas iespējas pirmsskolas pedagoģiskajā procesā. Darbs sastāv no divām daļām – teorētiskās un empīriskās. Teorētiskajā daļā apkopotas atziņas par intereses jēdzienu un komponentiem, kā arī par izmantojamajiem veicināšanas paņēmieniem pirmsskolas mācību procesā, vadoties pēc 5-6 gadus vecu bērnu attīstības likumsakarībām. Par teorētisko bāzi kalpoja tādu zinātnieku darbi kā I.Stangaine (2005, 2007, 2012, 2014), J. Reeve & W. Lee (2015), Z. Shivangi (2019), G. Kraigs (Крайг, 2000), V.Muhina (Мухина, 2000), O.,Goļskaja (Гольская, 2019)…

grāmatu lasīšanainterese par grāmatupirmsskolas pedagoģiskais processPedagoģijarotaļaspirmsskolas vecuma bērni
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Investigating Long-Range Dependence in E-Commerce Web Traffic

2016

This paper addresses the problem of investigating long-range dependence (LRD) and self-similarity in Web traffic. Popular techniques for estimating the intensity of LRD via the Hurst parameter are presented. Using a set of traces of a popular e-commerce site, the presence and the nature of LRD in Web traffic is examined. Our results confirm the self-similar nature of traffic at a Web server input, however the resulting estimates of the Hurst parameter vary depending on the trace and the technique used.

h indexWeb serverweb serverSelf-similarityComputer science02 engineering and technologyE-commercecomputer.software_genre01 natural sciencesSet (abstract data type)010104 statistics & probabilityWeb traffichurst indexlong-range dependence0202 electrical engineering electronic engineering information engineeringRange (statistics)0101 mathematicsTRACE (psycholinguistics)Hurst exponenthurst parameterself-similaritybusiness.industryweb trafficHTTP traffic020201 artificial intelligence & image processingData miningbusinesscomputer
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Barriers and wellbeing-oriented enablers of intergenerational innovation in the digital age

2021

AbstractSo far, researchers have used a wellbeing-centered approach to catalyze successful intergenerational collaboration (IGC) in innovative activities. However, due to the subject’s multidisciplinary nature, there is still a dearth of comprehensive research devoted to constructing the IGC system. Thus, the purpose of this study is to fill a research void by providing a conceptual framework for information technology (IT) system designers to use as a jumping-off point for designing an IGC system with a wellbeing-oriented design. A systematic literature study was conducted to identify relevant terms and develop a conceptual framework based on a review of 75 selected scientific papers. The …

haasteet (ongelmat)Knowledge managementintergenerational collaborationComputer Networks and CommunicationsProcess (engineering)Computer sciencehyvinvointistartup-yrityksetinnovaatiotoimintaMultidisciplinary approachintergenerational innovationikääntyvät työntekijätdigitalisaatiostartups innovationDesign technologybusiness.industryInnovation processInformation technologyesteetinnovaatiotHuman-Computer Interactiondigital collaborationConceptual frameworkThe Conceptual FrameworkLiterature studybusinessSoftwareInformation Systemsbarriers and challenges
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Challenges of Serendipity in Recommender Systems

2016

Most recommender systems suggest items similar to a user profile, which results in boring recommendations limited by user preferences indicated in the system. To overcome this problem, recommender systems should suggest serendipitous items, which is a challenging task, as it is unclear what makes items serendipitous to a user and how to measure serendipity. The concept is difficult to investigate, as serendipity includes an emotional dimension and serendipitous encounters are very rare. In this paper, we discuss mentioned challenges, review definitions of serendipity and serendipity-oriented evaluation metrics. The goal of the paper is to guide and inspire future efforts on serendipity in r…

haasteet (ongelmat)ta113Computer scienceSerendipitysuosittelujärjestelmätserendipitychallenges02 engineering and technologyRecommender systemunexpectednessnoveltyevaluation metricsWorld Wide Webrelevanssi020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingrelevancerecommender systemsProceedings of the 12th International Conference on Web Information Systems and Technologies
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Spatially dependent parton distribution functions and hard processes in nuclear collisions

2014

hadron productionparton distribution functionsHeavy ion phenomenologythermal photonsNuclear PDFsHard processestermiset fotonitnuclear collisionsfragmentation functionsDirect photonsQCD phenomenologypartonijakaumatfragmentaatiofunktiotydintörmäyksetForward rapiditiesteoreettinen fysiikkaProton+nucleus collisionshadronituotto
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Requirements for Energy Efficient Edge Computing: A Survey

2018

Internet of Things is evolving heavily in these times. One of the major obstacle is energy consumption in the IoT devices (sensor nodes and wireless gateways). The IoT devices are often battery powered wireless devices and thus reducing the energy consumption in these devices is essential to lengthen the lifetime of the device without battery change. It is possible to lengthen battery lifetime by efficient but lightweight sensor data analysis in close proximity of the sensor. Performing part of the sensor data analysis in the end device can reduce the amount of data needed to transmit wirelessly. Transmitting data wirelessly is very energy consuming task. At the same time, the privacy and s…

hajautetut järjestelmätBattery (electricity)energiatehokkuusbusiness.industryComputer science020206 networking & telecommunications020207 software engineering02 engineering and technologyEnergy consumptionEncryptionedge computing0202 electrical engineering electronic engineering information engineeringWirelessEnhanced Data Rates for GSM EvolutionbusinessEnergy (signal processing)Edge computingComputer networkEfficient energy use
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Latency-Oblivious Distributed Task Scheduling for Mobile Edge Computing

2018

Mobile Edge Computing (MEC) is emerging as one of the effective platforms for offloading the resource- and latency-constrained computational services of modern mobile applications. For latency- and resource-constrained mobile devices, the important issues include: 1) minimize end-to-end service latency; 2) minimize service completion time; 3) high quality-of-service (QoS) requirement to offload the complex computational services. To address the above issues, a latencyoblivious distributed task scheduling scheme is designed in this work to maximize the QoS performance and goodput for the MEC services. Unlike most of the existing works, we consider the latency-oblivious property of different …

hajautetut järjestelmätComputer scienceGoodput02 engineering and technologymatkaviestinverkotScheduling (computing)mobiililaitteetedge computing0202 electrical engineering electronic engineering information engineeringpalvelimetschedulingLatency (engineering)Mobile edge computingta213processor schedulingbusiness.industrymobile handsetsQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsserverstask analysisquality of service020201 artificial intelligence & image processingbusinessMobile deviceComputer network
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Optimization of Linearized Belief Propagation for Distributed Detection

2020

In this paper, we investigate distributed inference schemes, over binary-valued Markov random fields, which are realized by the belief propagation (BP) algorithm. We first show that a decision variable obtained by the BP algorithm in a network of distributed agents can be approximated by a linear fusion of all the local log-likelihood ratios. The proposed approach clarifies how the BP algorithm works, simplifies the statistical analysis of its behavior, and enables us to develop a performance optimization framework for the BP-based distributed inference systems. Next, we propose a blind learning-adaptation scheme to optimize the system performance when there is no information available a pr…

hajautetut järjestelmätComputer scienceInference02 engineering and technologyBelief propagation01 natural sciencesMarkov random fieldsalgoritmit0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic Engineeringtilastolliset mallitdistributed systemsbelief-propagation algorithmRandom fieldMarkov chainspectrum sensingverkkoteoriasignaalinkäsittely010102 general mathematicslinear data-fusionApproximation algorithm020206 networking & telecommunicationsCognitive radioblind signal processingAlgorithmWireless sensor networkRandom variablestatistical inference
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