Abstract
Clean Energy sources, such as wind and solar, have become an inseparable part of today's power grids. However, the intermittent nature of these sources has become the greatest challenge for their owners, which makes the bidding in the restructured electricity market more challenging. Hence, the main goal of this paper is to propose a novel multi-objective bidding strategy framework for a wind-thermal-photovoltaic system in the deregulated electricity market for the first time. Contrary to the existing bidding models, in the proposed model, two objective functions are taken into account that the first one copes with profit maximization while the second objective function concerns with emission minimization of thermal units. The proposed multi-objective optimization problem is solved using the weighted sum approach. The uncertainties associated with electricity market prices and the output power of renewable energy sources are characterized by a set of scenarios. Ultimately, in order to select the best-compromised solution among the obtained Pareto optimal solutions, two diverse approaches are applied. The proposed bidding strategy problem is being formulated and examined in various modes of joint and disjoint operation of dispatchable and non-dispatchable energy sources. Simulation results illustrate that not only the integrated participation of these resources increases the producer's expected profit, but also decreases the amount of the produced pollution by the thermal units.

Abstract
Long-term monitoring of Rn-222 and CO2 at a depth of several dozen meter at the SdeEliezer site, located within one of the Dead Sea Fault Zone segments in northern Israel, has led to the discovery of the clear phenomenon that both gases are affected by underground tectonic activity along the Dead Sea Fault Zone. It may relate to pre-seismic processes associated with the accumulation and relaxation of lithospheric stress and strain producing earthquakes. This approach assumes that meteorological influences on physico-chemical parameters are limited at depth since its strength diminishes with the increase of the overlay layer thickness. Hence, the monitoring of natural gases in deep boreholes above the water table enables to reduce the climatic-induced periodic contributions, and thus to identify the specific portion of the radon signals that could be related to regional tectonic pre-seismic activity. The plausible pre-seismic local movement of the two gases at depth is identified by the appearance of discrete, random, non-cyclical signals, wider in time duration than 20 h and clearly wider than the sum of the width of the periodic diurnal and semidiurnal signals driven by ambient meteorological parameters. These non-cyclical signals may precede, by one day or more, a forthcoming seismic event. Hence, it is plausible to conclude that monitoring of any other natural gas that is present at depth may show a similar broadening signal and may serve as a precursor too. The necessary technical conditions enabling to distinguish between anomalous signals of gases that may be induced locally by pre-seismic processes at depth, and the relatively low periodic signals that are still established at depth related to external climatic conditions, are presented in detail.

Abstract
This paper presents an algorithm for mapping monopiles from Offshore Wind Farms (OWF). The ASV (Autonomous Surface Vehicle) surveys the environment, detects and localizes monopiles using situational awareness system based on LiDAR, GPS and IMU (Inertial Measurement Unit) data. The position of the monopile is obtained based on the relative localization between the extrapolated center of the structure that was detected and the ASV. A positive detection of a monopile is referenced to a global positioning frame based on the GPS. Results in a simulator environment demonstrate the ability of this situational awareness system to identify monopiles with a precision of 0.005 m, which is relevant for detecting structural disalignments over time that might be caused by the appearance of scour in the structure's foundation.

Abstract
Renewable energy resources such as wind, either individually or integrated with other resources, are widely considered in different power system studies, especially self-scheduling and offering strategy problems. In the current paper, a three-stage stochastic multi-objective offering framework based on mixed-integer programming formulation for a wind-thermal-energy storage generation company in the energy and spinning reserve markets is proposed. The commitment decisions of dispatchable energy sources, the offering curves of the generation company in the energy and spinning reserve markets, and dealing with energy deviations in the balancing market are the decisions of the proposed three-stage offering strategy problem, respectively. In the suggested methodology, the participation model of the energy storage system in the spinning reserve market extends to both charging and discharging modes. The proposed framework concurrently maximizes generation company's expected profit and minimizes the expected emission of thermal units applying lexicographic optimization and hybrid augmented-weighted is an element of-constraint method. In this regard, the uncertainties associated with imbalance prices and wind power output as well as day-ahead energy and spinning reserve market prices are modeled via a set of scenarios. Eventually, two different strategies, i.e., a preference-based approach and emission trading pattern, are utilized to select the most favored solution among Pareto optimal solutions. Numerical results reveal that taking advantage of spinning reserve market alongside with energy market will substantially increase the profitability of the generation company. Also, the results disclose that spinning reserve market is more lucrative than the energy market for the energy storage system in the offering strategy structure.

Abstract
The physiotherapeutic process is widely discussed and of fundamental importance for the recovery of patients who suffer from any injury or adverse muscle condition. For best results, it is of primary importance that the patient maintains a pace of treatment and remains engaged in the activities required by the Physiotherapist. In this context, an approach that improves such engagement with concern for usability and acceptance by patients is explored in this article. A gamified platform was created, capable of capturing the time of exposure to the movement of squeezing a handgrip and expressing the patient's results in a swordsman-themed versus game, through the reading of neuromuscular signals captured by a MYO armband.

Abstract
A Internet das Coisas (IoT ou Internet of Things) tem se revelado uma tecnologia potencialmente disruptiva em vários campos da atividade  humana, o que inclui os processos educacionais. O processamento de dados produzidos e armazenados por objetos cotidianos e sensores e processados na web pode potencializar a análise pedagógica do professor e conferir maior liberdade para intervir nos percursos formativos dos alunos. Contudo, as pesquisas relacionando IoT e educação são incipientes, não conferindo uma visão clara sobre como concretizar este potencial. Este artigo apresenta uma revisão sistemática da literatura para melhor evidenciar as possibilidades de conexão entre IoT e Educação, recolhendo produções e analisando o conteúdo das mesmas e agrupando-as por ano e país de publicação,  contexto e nível educacional, foco dos estudos, tecnologias adotadas, aspectos metodológicos, aspectos teóricos e desenvolvimento de competências proporcionado por tais tecnologias. Constatou-se que a  maioria das pesquisas foca em aspectos técnicos e utilitários da IoT, mas existem propostas com referencial teórico-metodológico de caráter pedagógico. Os resultados apontam para a necessidade de aprofundamento da interligação entre Internet das Coisas e Educação, indicam possibilidades de pesquisas futuras e a quais áreas esse aprofundamento deve atender, possibilitando a utilização desse potencial tecnológico para a promoção de novas abordagens na área de ensino e aprendizagem.