Abstract
The evolution of technology in the last decade predicts a future where technology is disseminated in the environment in order to merge with the environment itself, being omnipresent. This world paradigm has been associated with the Internet of Things concept or, according to several authors, with the Internet of Everything concept. The potential massive dispersion of technology, which, with the progress of nanotechnology, will be increasingly miniaturized, combined with high-performance and universal communication networks, will revolutionize the concept of monitoring, resulting in profound changes in various sectors of activity and knowledge. In this context, this article presents a cloud-based Internet of Things architecture in order to respond to the growing needs of monitoring by the Civil Protection Public Organizations, who are responsible for monitoring several parameters and produce multiple information and reports in the context of the security of populations and territories. Finally, it is presented a prototype implemented according to the proposed architecture capable of monitoring monoliths dispersed in the territory, as a way of acting preventively, avoiding merely reactive actions after disaster situations. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
Information and communication technologies provide their users with permanent global connectivity through a wide range of devices and with the Internet as their main support. Currently assuming a very significant economic relevance for a considerable group of countries, the Tourism sector is in the mindset of a digital transformation, in the scope of which a good part of its services is evolving towards ICT and Internet supported versions. In this context, the assurance of universal access to websites (Web accessibility) that support the businesses of organizations in this sector gains special relevance. This article presents an analysis at the level of Web accessibility of 240 websites directly related to the tourism sector, using TAW - Test de Acessibilidad Web evaluation tool. Despite the growing concern to provide more and more inclusive means, the overwhelming majority of websites did not reach the minimum level of accessibility, thus not assuring properly functional access for those who have a disability or limitation.

Abstract
This study presents the optimal model of the coordinated flexible energy and self-healing management (C-FE&SH-M) in the active distribution network (ADN) including renewable energy sources (RESs), electric vehicles (EVs) and demand response program (DRP).The flexible energy management (FEM) is extracted using coordination between the RESs, EVs and DRP. The self-healing method (SHM) is related to multi-agent system-based restoration process (MAS-based RP) that finds the optimal restoration pattern at the fault condition according to the different zone agents (ZAs) distributing along with the network. This method minimizes the difference between energy cost and flexibility benefit related to the FEM part and difference between the number of switching operation and priority loads restored based on the SHM part. Also, this problem subjects to power flow equations, RESs and active loads constraints, restoration process formulation and system operation limits. Stochastic programming is used to model the uncertainty of loads, energy prices, RESs and EVs. Hereupon, the suggested strategy is implemented on the 33-bus radial distribution network and it is solved by the crow search algorithm (CSA). Ultimately, the obtained results imply the high flexibility and security of the operation, incorporating the proposed strategy, and delineate the optimal restoration scheme for the ADN.

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Welding physics is complex, and therefore the welding parametrization is time-consuming. In manual welding, the "hand", the experience, and the best sensor of all (the eyes) can compensate for the difficulties in finding the right settings (welding parameters, robot posture, speed,...) for a specific weld seam. In robotic welding the robotic arm and the sensors are limited, and the parametrization time escalates. This work aims to develop a flexible welding robotized system, through the introduction of (knowledge-based) decision support for welding parametrization in an advanced robotic work cell, in combination with advanced (collision-free) offline programming and advanced sensing. By selecting a specific application area, structural steel, this work will reduce the degree of complexity during the development, paving the way for the introduction of knowledge-based welding in the robotic arc welding sector.