Abstract
The large scale integration of Distributed Energy Resources (DER) at the Low Voltage (LV) distribution network offers new opportunities for the improvement of power quality and network reliability. Currently, the occurrence of large disturbances at the transmission network causing severe voltage sags at the distribution level could lead to the disconnection of a large share of DER units connected to the LV network, causing a more severe disturbance. In this paper, Low-Voltage-Ride Through (LVRT) requirements and current support strategies are proposed to mitigate the impact of severe voltage sag at the distribution level for DER units connected to LV network. The impact of adopting the proposed LVRT strategies will be analyzed through simulation and experimentally. A developed in house ESS prototype incorporating the developed LVRT strategies is also presented, and its capacity to comply with the proposed LVRT requirements is demonstrated using an experimental Power Hardware-in-the-Loop (PHIL) setup.

Abstract
Heart failure (HF) affects at least 26 million people worldwide and is considered a global pandemic. Almost 1 out of 4 hospitalised patients are re-hospitalised for HF within the 30-day post-discharge period. This can be avoided if changes to the hemodynamics of the HF patient's body are early detected. Bioimpedance Spectroscopy (BIS) is a method that allows the measurement and analysis of multi-frequency body complex impedance and can be used to detect changes to the HF patient's hemodynamics. This paper presents the calibration and validation process of a low-cost portable BIS system, as well as, the study of the best Cole parameter estimation methods. The BIS system was calibrated using a three reference circuit method and a Resistance-Capacitance-Inductance (RCL) meter as calibration system. After calibration, BIS impedance measurements of validation circuits presented an average phase error of 0.76 degrees and an average magnitude relative error of 0.6 % when compared with standard values. Regarding Cole parameters estimation, using the Impedance model and the Non-Linear Least Squares method for curve fitting, the relative errors were below 4 % when compared with the expected values.

Abstract
Matching two regions represented in bathymetric data that have some form of geographical overlapping is an important and challenging aspect in underwater mapping. It is important because of the possible error in estimating the geographical location of each point underwater. It is challenging due to the size of the acquired bathymetric data points. The matching could also play a vital role in the registration of underwater images and/or maps fusion, if both bathymetric and intensity scans are considered. Compared to the exhaustive search that requires polynomial time, O(n(2)), an efficient bathymetric matching algorithm is proposed in this work that finds several match points in linear time, requiring thus O(n) computations. The paper thus presents a new algorithm that allows to compile the bathymetric data of the common areas of two submarine areas that have been sampled in underwater missions.

Abstract
A gamificação é uma técnica recente que consiste em aplicar elementos de jogos em contextos não relacionados com jogos. Existem frameworks teóricas que sugerem um modelo de aplicação desses elementos na implementação de soluções concretas. Neste artigo analisámos dois Sistemas de Gestão da Aprendizagem, Classcraft e Moodle, sob a lente da framework Octalysis. Apesar das duas plataformas disponibilizarem vários elementos de jogo, que combinados entre si procuram incrementar a motivação do aluno, a plataforma Classcraft é a que apresenta mais elementos de jogos, abrangendo todos os eixos desta framework.

Abstract
The emergence of Internet of Things (IoT) applications and rapid advances in wireless communication technologies have motivated a paradigm shift in the development of viable applications such as mobile-health (m-health). These applications boost the opportunity for ubiquitous real-Time monitoring using different data types such as electroencephalography (EEG), electrocardiography (ECG), etc. However, many remote monitoring applications require continuous sensing for different signals and vital signs, which result in generating large volumes of real time data that requires to be processed, recorded, and transmitted. Thus, designing efficient transceivers is crucial to reduce transmission delay and energy through leveraging data reduction techniques. In this context, we propose an efficient data-specific transceiver design that leverages the inherent characteristics of the generated data at the physical layer to reduce transmitted data size without significant overheads. The goal is to adaptively reduce the amount of data that needs to be transmitted in order to efficiently communicate and possibly store information, while maintaining the required application quality-of-service (QoS) requirements. Our results show the excellent performance of the proposed design in terms of data reduction gain, signal distortion, low complexity, and the advantages that it exhibits with respect to state-of-The-Art techniques since we could obtain about 50% compression ratio at 0% distortion and sample error rate.

Abstract
The penetration level of plug-in electric vehicles (PEVs) has a potential to be remarkably increased in the near future. As a result, the smart power systems will have new challenges and opportunities. The energy storing capability of PEVs is an attractive capability that enables PEVs to participate in providing ancillary services, e.g., load frequency control (LFC). This paper evaluates the participation of PEVs in load frequency control of a microgrid (MG) by using a decentralized multi-agent based control system. According to the proposed multi-agent based scheme, each PEV is considered as an agent that makes a synchronized decision for the participation in the LFC according to the global information. The required global information is discovered through the average consensus algorithm (ACA). The effect of time delay on the proposed method is investigated. Simulation studies are carried out in MATLAB-Simulink and show the effectiveness of the proposed decentralized control scheme.