Abstract
Alto Douro Wine Region is located in the Northeast of Portugal and is classified by UNESCO as a World Heritage Site. Snaked by the Douro River, the region has been producing wines for over 2000 years, with the world-famous Porto wine standing out. The vineyards, in that region, are built in a territory marked by steep slopes and the almost inexistence of flat land and water. The vineyards that cover the great slopes rise from the Douro River and form an immense terraced staircase. All these ingredients combined make the right key for exploring precision agriculture techniques. In this study, a preliminary approach allowing to perform terrace vineyards identification is presented. This is a key-enabling task towards the achievement of important goals such as production estimation and multi-temporal crop evaluation. The proposed methodology consists in the use of Convolutional Neural Networks (CNNs) to classify and segment the terrace vineyards, considering a high-resolution dataset acquired with remote sensing sensors mounted in unmanned aerial vehicles (UAVs).

Abstract

Abstract
This article presents a novel mixed-integer nonlinear linear programming (MINLP) model to increase the photovoltaic (PV) hosting capacity in unbalanced three- phase electrical distribution systems. The problem considers the optimal operation of capacitor banks and network reconfiguration with radial and closed-loop operation. The objective function maximizes the PV hosting capacity of the system. A set of linearization strategies are employed to convert the presented MINLP model into a mixed-integer linear programming (MILP) problem. By considering the MILP formulation, optimality is guaranteed by using off-the-shelf optimization solvers. Several tests are carried out using a 25-node unbalanced three-phase distribution system. When examining network reconfiguration with radial and closed-loop operation, the results demonstrate that the proposed formulation is effective in increasing the penetration of PV sources.

Abstract
Legislation on Information and Communication Technologies (ICT) accessibility is not new and therefore there are many national and international initiatives in place, although very web-focused. We are now on the threshold of a more comprehensive approach in the field of ICT. The European Standard EN 301 549 specifies the accessibility requirements for public procurement of ICT products and services in Europe. This study focuses both on the parameter decoding and the evolution of the European standard EN 301 549, and the translation process into European Portuguese. These were some of the steps considered for the creation of ICT Accessibility Requirements Tool (FRATIC, Ferramenta de Requisitos de Acessibilidade para TIC), designed and developed within the framework of the research under which this study falls, in order to simplify the enforcement of EN 301 549 in public procurement procedures in Portugal.

Abstract
Micro and Small Enterprises have assumed an important strategic role for the economic and social development of Brazil, representing about 99% of all business establishments and contributing to the generation of 55.3% of all formal jobs in the country. However, these ventures have faced a series of restrictions on entrepreneurial activity, such as low government support, high taxes, and excessive bureaucracy. In this adverse context, innovation assumes a significant mediation role for increasing business performance and, consequently, maintaining the permanence of these ventures in the market. Accordingly, the present investigation aimed to identify the degree of innovation, the main obstacles and facilitators of innovation, as well as the types of innovation prevalent in Brazilian Micro and Small Enterprises through a systematic literature review. The literature review included 21 articles extracted from the Web of Science, Scopus, Scielo, and Spell databases. In general, the analyzed literature points out that innovation in these ventures is the result of simple actions, such as imitation and the acquisition of technology from third parties, and that the degree of innovation is low, prevailing in the types of innovation in Products and Marketing. The main barriers highlighted were related to the lack of resources, precarious managerial and commercial capacities, and shortages of qualified labor, while the factors that facilitate innovation are related to the support of government programs and the organization of Micro and Small Enterprises in productive arrangements.

Abstract
This paper explores the concept of the local energy markets and, in particular, the need for trust and security in the negotiations necessary for this type of market. A multi-agent system is implemented to simulate the local energy market, and a trust model is proposed to evaluate the proposals sent by the participants, based on forecasting mechanisms that try to predict their expected behavior. A cyber-attack detection model is also implemented using several supervised classification techniques. Two case studies were carried out, one to evaluate the performance of the various classification methods using the IoT-23 cyber-attack dataset; and another one to evaluate the performance of the developed trust mode.