Search results for " Network"
showing 10 items of 6428 documents
Il digitale nell'educazione: ambienti, dispositivi, apprendimenti
2014
Nel volume si affronta la problematica dell’apporto delle tecnologie per l’apprendimento nell’azione educativa e didattica. I diversi contributi si orientano verso una prospettiva di lavoro che configura le tecnologie come struttura significativa per accogliere i bisogni educativi delle nuove generazioni, in ambienti a loro congeniali che si sviluppano rinnovando precedenti sistemi di conoscenza e di comunicazione. L’essenza della ricerca riguarda il come si modificano i modi di apprendere nei soggetti, dal momento in cui i media digitali occupano uno spazio rilevante nelle loro esperienze. Occorre costruire una progettualità educativa capace di mediare efficacemente tra pratiche sociali e …
Apprendimenti digitali e pratiche educative
2014
Nel contributo si affronta la problematica dell’apporto delle tecnologie per l’apprendimento nell’azione educativa e didattica. Occorre costruire una progettualità educativa capace di mediare efficacemente tra pratiche sociali e bisogni individuali.
Ecology and extent of freshwater browning - What we know and what should be studied next in the context of global change
2022
Water browning or brownification refers to increasing water color, often related to increasing dissolved organic matter (DOM) and carbon (DOC) content in freshwaters. Browning has been recognized as a significant physicochemical phenomenon altering boreal lakes, but our understanding of its ecological consequences in different freshwater habitats and regions is limited. Here, we review the consequences of browning on different freshwater habitats, food webs and aquatic-terrestrial habitat coupling. We examine global trends of browning and DOM/DOC, and the use of remote sensing as a tool to investigate browning from local to global scales. Studies have focused on lakes and rivers while seldo…
Cernay-lès-Reims (Marne). Cernay-lès-Reims « le Bas de la Noue Saint Rémy » zone 9 [notice archéologique]
2019
Localisée en limite SE de l’agglomération rémoise, sur la commune de Cernay-les-Reims, l’emprise de l’opération porte sur une surface de 11 300 m2. Cette neuvième concentration de vestiges, fouillée sur un parc d’activité, correspond à un établissement rural de l’Antiquité tardive, prolongé à l’époque médiévale par une zone d’activité artisanale. Ces deux occupations se développent le long d’un axe de circulation qui perdure vraisemblablement de l’Antiquité à la première guerre mondiale.
Strategie per la Sicilia "interna"
2016
Tra i comuni identificati come aree "interne" (Dipartimento per lo sviluppo e la coesione economica), sono stati studiati 13 comuni, periferici e ultraperiferici, nell'intento di individuare strategie e progetti per la connessione e per l'inclusione.
influence of raw data analysis for the use of neural networks for wind farm productivity prediction
2011
In the last decade wind energy had a strong growth because of cost effectiveness of the technology and the high remunerative of investments. The increase of wind power penetration in power grids, however, makes necessary the development of instruments for prediction of productivity of a wind farm. This paper presents a study dealing with the capability of neural network to forecast short term production of a wind farm by the correlation of wind and energy production data. Available measures of wind parameters were related to productivity data of a real wind farm. Also wind data not strictly related to the site have been used in order to assess their possible influence on the production. Aft…
Customers' perceived risk and trust in using mobile money services-an empirical study of Ghana
2019
Copyright © 2019, IGI Global. Although mobile money (MM) has been explored in the existing literature, the roles of trust and risk in MM use have received little attention from researchers. Furthermore, many of the existing studies have treated these constructs as unidimensional. The extant literature also shows that perceived risk has received little attention from researchers who have conducted studies on MM. Thus, the objective of this study is to examine the roles of trust and perceived risk in customers' intent to adopt MM services in Ghana. Both trust and perceived risk were broken down into various dimensions. The study involved 671 respondents who were selected via an intercept appr…
Family networks and refugees’ health conditions. A picture from Italian informal settlements
2021
While the relationships between social networks and health are widely acknowledged in the literature, few of these studies have covered the population of refugees living in makeshift camps. In our analysis of a nationally representative Italian survey of individuals living in informal settlements, we find that many had weak family relations: only 10 per cent had one or more family members in their settlement. The paper analyses the effects of individual social network on two measures of health, and finds that the refugees’ health conditions were associated with both their personal characteristics and the characteristics of the settlement. The results show that more than 50 per cent of these…
Memory degradation induced by attention in recurrent neural architectures
2022
This paper studies the memory mechanisms in recurrent neural architectures when attention models are included. Pure-attention models like Transformers are more and more popular as they tend to outperform models with recurrent connections in many different tasks. Our conjecture is that attention prevents the recurrent connections from transferring information properly between consecutive next steps. This conjecture is empirically tested using five different models, namely, a model without attention, a standard Loung attention model, a standard Bahdanau attention model, and our proposal to add attention to the inputs in order to fill the gap between recurrent and parallel architectures (for b…
Anomaly Detection and Classification of Household Electricity Data : A Time Window and Multilayer Hierarchical Network Approach
2022
With the increasing popularity of the smart grid, huge volumes of data are gathered from numerous sensors. How to classify, store, and analyze massive datasets to facilitate the development of the smart grid has recently attracted much attention. In particular, with the popularity of household smart meters and electricity monitoring sensors, a large amount of data can be obtained to analyze household electricity usage so as to better diagnose the leakage and theft behaviors, identify man-made tampering and data fraud, and detect powerline loss. In this paper, the time window method is first proposed to obtain the features and potential periodicity of household electricity data. Combining th…