Search results for "world"
showing 10 items of 1612 documents
Deriving and comparing deduplication techniques using a model-based classification
2015
Data deduplication has been a hot research topic and a large number of systems have been developed. These systems are usually seen as an inherently linked set of characteristics. However, a detailed analysis shows independent concepts that can be used in other systems. In this work, we perform this analysis on the main representatives of deduplication systems. We embed the results in a model, which shows two yet unexplored combinations of characteristics. In addition, the model enables a comprehensive evaluation of the representatives and the two new systems. We perform this evaluation based on real world data sets.
Mobile agents, globus and resource discovery
2004
Publisher Summary This chapter discusses grid technology and some related problem. The overview of grids, in terms of application fields and needed protocols is given. The common feature of all grid architectures is a coordinated and controlled resource sharing between the members of a dynamic multi-institutional virtual community. The members of such a community agree on which resources will be shared and which members of the community will be enabled to access these resources, thus defining a set of sharing rules and permissions. The Globus project is discussed, which is nowadays the de facto standard for grid environments, with emphasis on its resource discovery components. Finally, the …
World Pasta Day: Dalla ricerca CRA la pasta made in Italy che fa bene
2013
World Pasta Day: Dalla ricerca CRA la pasta made in Italy che fa bene
USING WRB TO MAP THE SOIL SYSTEMS OF ITALY
2012
Aim of this work was to test the 2010 version of the WRB soil classification for compilating a map of the soil systems of Italy at 1:500,000 scale. The source of data was the national geodatabase storing information on 1,414 Soil Typological Units (STUs). Though, basically, we followed WRB criteria to prioritize soil qualifiers, however, it was necessary to work out an original methodology in the map legend representation to reproduce the high variability inside each delineation meanwhile avoiding any loss of information. Each map unit may represent a combination of three codominant STUs at the most. Dominant STUs were assessed summing up the occurrence of STUs in the Land Components (LCs) …
Modelling strategies for the reduction of fat dormice in northern Italian hazel groves
2018
The production of hazelnuts represents an important resource for several Italian rural areas. Sicily and Piedmont, two of the most important producers of hazelnuts, are affected by the presence of the dormouse (Glis glis), that has considerably severely harmed the production of hazelnuts. This study aims to analyse the issue in the Province of Cuneo in Piedmont and to evaluate the sustainability of the policies implemented by using the system dynamics (SD) methodology. An SD predator-prey microworld was built to reproduce the main relevant cause and effect relationships between the development of the dormouse population and local hazelnut production. The results of the SD microworld simulat…
Las grandes Exposiciones en Europa: 1992-2002. Efectos duraderos sobre la ciudad y apropiación por parte de la ciudadanía.
2012
This paper studies the influence of great contemporary Expositions on the transformation of cities and of territories, developing some aspects we consider relevant of these events: their growing relevance in urban contemporary politics and the urban and architectural project as creator of the regeneration of abandoned or obsolete areas. Against the short duration of these events, the positive and negative effects, like the definition of new urban and territorial domains, the modernization of infrastructures and services, the impulse of private stakeholders toward building lands and the consolidation of City-Brand in tourism nets among others, have a much longer duration, and depend on the u…
EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations
2021
Everyday digital tasks can highly benefit from systems that recommend the right information to use at the right time. However, existing solutions typically support only specific applications and tasks. In this demo, we showcase EntityBot, a system that captures context across application boundaries and recommends information entities related to the current task. The user’s digital activity is continuously monitored by capturing all content on the computer screen using optical character recognition. This includes all applications and services being used and specific to individuals’ computer usages such as instant messaging, emailing, web browsing, and word processing. A linear model is then …
Searching the internet for learning materials through didactic indicators
2007
Internet offers a huge amount of didactic materials that can be used in creating new online courses. However, those materials need a deep analysis to understand their context and contents before their potential use. As a consequence, the search of didactic material in internet is often quite tedious and time consuming so the searcher usually limits his/her analysis to the first found web pages . To help users in finding efficiently and timely the most appropriate online materials, we have developed a system, called SAXEF (System for Automatic eXtraction of lEearning object Features), that is capable to automatically extract the didactic indicators (a sort of DNA) of any web page (or group o…
Pervasive Displays Research: What's Next?
2019
Reports on the 7th ACM International Symposium on Pervasive Displays that took place from June 6-8 in Munich, Germany.
Twitter Analysis for Real-Time Malware Discovery
2017
In recent years, the increasing number of cyber-attacks has gained the development of innovative tools to quickly detect new threats. A recent approach to this problem is to analyze the content of Social Networks to discover the rising of new malicious software. Twitter is a popular social network which allows millions of users to share their opinions on what happens all over the world. The subscribers can insert messages, called tweet, that are usually related to international news. In this work, we present a system for real-time malware alerting using a set of tweets captured through the Twitter API’s, and analyzed by means of a Bayes naïve classifier. Then, groups of tweets discussing th…