Abstract

Abstract
Internet is becoming one of the most adopted technologies of all times and one of its particular uses concerns the public health issues. The search for health related information and the exchange of experiences and opinions on symptoms and treatments is one of the main activities associated with eHealth websites, hence the need for these websites to be accessible to everybody, including those with some sort of disability. Nevertheless, when assessing the level of the WCAG 2.0 compliance of Iberian eHealth websites, the results achieved during a two stage, one year apart, evaluation indicated that these websites were definitely not accessible. By adding this finding to other similar results achieved by means of similar researches we believe that a new full scope Web accessibility and usability evaluation procedure was needed and is now presented. The referred proposal aims at creating a basis for both organisations and Web developers to understand how to perform an adequate assessment of their websites. © 2016 Elsevier Ltd.

Abstract
In the framework of the Horizon 2020 project UPGRID, the Portuguese demo is focused on promoting the exchange of smart metering data between the DSO and different stakeholders, guaranteeing neutrality, efficiency and transparency. The platform described in this study, named the Market Hub Platform, has two main objectives: (i) to guarantee neutral data access to all market agents and (ii) to operate as a market hub for the home energy management systems flexibility, in terms of consumption shift under dynamic retailing tariffs and contracted power limitation requests in response to technical problems. The validation results are presented and discussed in terms of scalability, availability and reliability.

Abstract

Abstract

Abstract
In the last years researchers in the field of intelligent transportation systems have made several efforts to extract valuable information from social media streams. However, collecting domain-specific data from any social media is a challenging task demanding appropriate and robust classification methods. In this work we focus on exploring geolocated tweets in order to create a travel-related tweet classifier using a combination of bag-of-words and word embeddings. The resulting classification makes possible the identification of interesting spatio-temporal relations in Sao Paulo and Rio de Janeiro.