Abstract
Fall situations in the context of hospitalization represent high injury risks for the patient and can determine delays or even setbacks in the recovery process. This risk of fall can be minimized by using trained personnel but also using smart equipments that continuously monitor the patients and that can automatically raise alerts as a preventive measure. In this paper a new low-cost system for the prevention of falls in inpatients is proposed. The system is based on a simple modular design that can be easily adapted to distinct equipments such as a bed or an armchair. The sensing devices are pressure mats, transparent for the user and highly sensitive to body position changes, and accelerometers, that can reliably monitor movement while using a very small footprint. The main purpose of the system is to monitor the patients' movement while trying to detect the intention to abandon the bed or armchair. The system was widely tested using a pre-defined protocol and the overall results are quite promising. Some issues were also detected which opens the path for further developments. © 2018 IEEE.

Abstract
The concept of smart cities grew with the need to rethink the use of urban spaces based on the constant technological advances and respecting sustainability. Today the urbanism and the methodologies to think about the city are changing, as citizens want more access to digital information on almost everything. Therefore, cities need to be planned and equipped with infrastructures that enable connectivity between the citizens’ devices and the digital information. This challenge raises technological problems, such as traffic management, in an attempt to guarantee fair network access to all users. Solutions based on wireless resource management and self-organizing networks are key when design the connectivity for these smart cities. This paper presents a study on forecasting the daily load of Wi-Fi city hotspots, taking also in consideration the weather conditions. This is particularly interesting to predict the network load and resource requirements needed to ensure proper quality of service is provided to the hotspot users. The study was performed in a Wi-Fi hotspot located in the city of Castelo Branco, Portugal. The results show the ARIMA model is capable of identifying and forecasting seasonality events for one week in advance including its capability to correlate the number of hotspot users with weather conditions. © 2018, Springer International Publishing AG.

Abstract
The purpose of the present work is to construct a reaction board based on fiber Bragg gratings (FBGs) that could be used for estimation of the 2D coordinates of the projection of center of gravity (CG) of an object. The apparatus is consisted of a rigid equilateral triangular board mounted on three supports at the vertices, two of which have cantilevers instrumented with FBGs. When an object of known weight is placed on the board, the bending strain of the cantilevers is measured by a proportional wavelength shift of the FBGs. Applying the equilibrium conditions of a rigid body and proper calibration procedures, the wavelength shift is used to estimate the vertical reaction forces and moments of force at the supports and the coordinates of the object's CG projection on the board. This method can be used on a regular basis to estimate the CG of the human body or objects with complex geometry and density distribution. An example is provided for the estimation of the CG projection coordinates of two orthopaedic femur bone models, one intact, and the other with a hip stem implant encased. The clinical implications of changing the normal CG location by means of a prosthesis have been discussed.

Abstract
This paper presents a tool (iMPAcT) that automates testing of mobile applications based on the presence of recurring behaviour, UI Patterns. It combines reverse engineering, pattern matching and testing. The reverse engineering process is responsible for crawling the application, i.e. analysing the state of the application and interacting with it by firing events. The pattern matching tries to identify the presence of UI patterns based on a catalogue of patterns. When a UI Pattern from the catalogue is detected, a test strategy is applied (testing). These test strategies are called UI Test Patterns. These three phases work in an iterative way: the patterns are identified and tested between firing of events, i.e. the process alternates between exploring the application and testing the UI Patterns. The process is dynamic and fully automatic not requiring any previous knowledge about the application under test. This paper presents the results of an experiment studying the reliability of the results obtained by iMPAcT. The experiment involved 25 applications found on Google Play Store and concludes that iMPAcT is successful in identifying failures in the tested patterns and that the degree of certainty of an identified failure being an actual failure is high.

Abstract
Environmental policies could accelerate the replacement of Internal Combustion Engine Vehicles (ICEV) by Plug-in-Electric Vehicles (PEV) in many countries. However, in countries where these policies are still not implemented (for example those with no significant PEV subsidies like Spain), technical and economic criteria can also be relevant to assess the future PEV penetration. This work develops a new long-term expansion model that computes the share of PEV and ICEV based on economic criteria, including the impact of PEV on the electricity price and generation mix. The model minimizes the power and transport system costs (investment, operation and maintenance costs, etc.) considering electricity and private transportation needs. Results provide insight on the combined evolution of the renewable generation and of the PEV and ICEV future fleets in Spain, considering environmental constraints such as those imposed by the European Commission.

Abstract
The classroom will always present great challenges to the teachers. It is important to know how to provide learning to a new generation of students and to try to understand how students learn today. Each student arrives at school with a diversity of knowledge resulting from their own life experience, probably divergent from that of their colleagues. On the other hand, the domain of the new Information and Communication Technologies (ICTs) is part of their own experience. The teacher/student relationship is becoming more and digital and, therefore, the limitations of space are more and more reduced. ICTS have greatly altered the way students have access to knowledge, how they share it or how they simply organize the work. Thus, traditional pedagogical strategies and processes must integrate technologies, as a way to apply new work methodologies that value the students' reflection and critical thinking. In return, technology will bring them closer to knowledge, increasing their autonomy and consequent motivation. This work aimed at introducing the topic of sustainable mobility, so that electric vehicles become a growing reality in everyday life. A power generation system was proposed using a grid of photovoltaic panels, which in turn will allow the sustained feeding of a quick charging station. The surplus of electricity produced by the grid of panels can be used to meet the energy needs of a service station. A varied range of software tools were used to address the challenge. This article aims at discussing the use of different software in the educational environment, highlighting the advantages, as well as the difficulties associated with the approach. Several educational software types were used in the final project of a master's degree in ISEC (Instituto Superior de Engenharia de Coimbra). Software tools are an effective way to train students. The use of virtual reality tools in concept teaching of fast charging stations was quite effective in the improvement of students.