Scraping Dynamic Websites for Economical Data : A Framework Approach

Internet is a source of live data that is constantly updating with data of almost anyfield we can imagine. Having tools that can automatically detect these updates andcan select that information that we are interested in are becoming of utmost importancenowadays. That is the reason why through this thesis we will focus on someeconomic websites, studying their structures and identifying a common type of websitein this field: Dynamic Websites. Even when there are many tools that allow toextract information from the internet, not many tackle these kind of websites. Forthis reason we will study and implement some tools that allow the developers to addressthese pages from a different perspective

AUTOPILOT Deliverable 2.7: Report on the Implementation of the IoT Platform

This document describes the final status of the implementation of the open IoT platform for autonomous driving of the AUTOPILOT project

IoT solutions for large open-air events

This chapter presents the main results of the MONICA project, one of the five large-scale pilot projects funded by the European Commission. MONICA focuses on the adoption of wearable IoT solutions for the management of safety and security in large open-air events as well as on the reduction of noise level for neighbours. The project addresses several challenges in eleven pilots of six major European cities using a large number of IoT wearables and sensors. The chapter first introduces all MONICA challenges in the context of large open-air events and then presents the corresponding adopted technical solutions, the defined IoT architecture and the perspective in integrating a wide range of heterogeneous sensors. On one side, the focus is on the solutions that have been adopted to improve the crowd management, crowd safety and emergency responses by using wearables for both visitors and the security staff at the events, including also the adoption of video processing and data fusion algorithms to estimate the number of visitors and its distribution in the event area and to detect suspicious activity patterns. On the other hand, it describes how innovative Sound Level Meters (SLMs) can be deployed to monitor the sound propagation within the event area while reducing the noise impact on the neighbourhood