Abstract
The exploration of water bodies from the sea to land filled water spaces has seen a continuous increase with new technologies such as robotics. Underwater images is one of the main sensor resources used but suffer from added problems due to the environment. Multiple methods and techniques have provided a way to correct the color, clear the poor quality and enhance the features. In this paper, we present the work of an Image Cleaning and Enhancement Technique which is based on performing color correction on images incorporated with Dark Channel Prior(DCP) and then taking the converted images and modifying them into the Long, Medium and Short(LMS) color space, as this space is the region in which the human eye perceives colour. This work is being developed at INESC TEC robotics and autonomous systems laboratory. Our objective is to improve the quality of images for and taken by robots with the particular emphasis on underwater flooded mines. The paper describes the architecture and the developed solution. A comparative analysis with state of the art methods and of our proposed solution is presented. Results from missions taken by the robot in operational mine scenarios are presented and discussed and allowing for the solution characterization and validation.

Abstract
The present study seeks to analyze the behavior of a technological start-up regarding its entry modes in foreign markets. It is based on the case study of a company in the field of 3D printing and takes into account the analysis of topics such as the internationalization of start-ups and modes of entry in foreign markets, considering several theories of internationalization. As the company analyzed is a start-up, the research is supported by the analysis of the characteristics present in the process of internationalization of small and medium-sized enterprises (SMEs). The study closes with the conclusion that this SME matches the profile of an International New Venture/Born Global (INV/BG), although the company takes advantage of the network-based theory and relationship orientation to enter international markets. The most used mode of entry by the company in international markets has been exporting activities.

Abstract
O artigo tem como objetivo discutir uma proposta de formação continuada de professores em contexto híbrido e multimodal, em sua potencialidade de mobilizar a ressignificação das práticas pedagógicas por meio de projetos de aprendizagem gamificados. A proposta integra as ações da pesquisa “A cidade como espaço de aprendizagem: games e gamificação na constituição de Espaços de Convivência Híbridos, Multimodais, Pervasivos e Ubíquos para o desenvolvimento da Cidadania”, que tem como objetivo contribuir para com a mudança da cultura escolar, tendo em vista os atuais sujeitos de aprendizagem, os meios com os quais interagem e suas formas de aprender. A abordagem da pesquisa é qualitativa, do tipo descritiva e inspirada no método cartográfico de pesquisa intervenção proposto por Kastrup (2007; 2008), Passos, Kastrup e Escóssia (2009) e Passos, Kastrup e Tedesco (2014). Os resultados evidenciados pelos movimentos que os professores articulam nas escolas, indicam que a proposta tem contribuído significativamente para aproximar professores da educação básica, pesquisadores e professores do ensino superior enquanto co-criadores de saberes acerca da docência, potencializando a construção de práticas pedagógicas agregativas e reticulares e contribuindo para a mudança da cultura escolar!

Abstract
A dangerous problem that many countries have to face is the existence of buried explosive devices, responsible for high numbers of civilian fatalities. Their detection and removal are therefore mandatory, which has led in recent years to the development of different techniques that can ensure safer and more efficient demining operations. Geophysical techniques have been employed, since allow ground search in a non-invasive, rapid and cost-effective way, with special interest being given to ground penetrating radar (GPR). In the current work, it was buried in a sandy soil and in a clayey soil (27m2 each), one of two similar sets of different inert explosive devices. GPR profiles of the subsoil were obtained with a 3D-GPR system, being then processed with the ReflexW software. Three dimensional cubes of the two study sites were constructed for better target signal visualization. The preliminary results confirm the efficiency of this technique, since all buried inert explosive devices were detected in both soil types. © SGEM2019.

Abstract
This paper represents a model for finding the strategic bidding equilibrium of a virtual power plant in a joint energy and regulation market in the presence of rivals. A bi-level mathematical program with equilibrium constraints (MPEC) is represented for modeling the behavior of each producer. The upper level deals with profit maximization of each strategic unit and the lower level encompasses social welfare maximization. This is the first objective of the presented model. Power transfer distribution factors (PTDFs) are employed to model transmission constraints. The proposed bi-level problem is converted to a traceable mixed integer linear programming problem using duality theory and Karush-Kahn-Tucker (KKT) optimization conditions. Simultaneous solution of all MPECs forms an equilibrium problem with equilibrium constraints (EPEC). Solving the resulting EPEC using diagonalization algorithm and game theory, a market Nash equilibrium is obtained. Another goal is to solve the bi-level problem in a bi-objective way using the augmented epsilon constraint method, which maximizes the profit and minimizes the emissions of virtual power plant units. The proposed model is tested on a standard IEEE-24 bus system and the results indicate that, at the equilibrium point, the profit of a virtual power plant and GenCo will be less than in the initial state.

Abstract
With the increase in availability of online national archives and software to manage genealogical records, genealogy studies are growing in popularity. While conducting research, genealogists communicate their findings either in written narratives or in genealogical charts. In that context, visualization methods can be very effective for promoting the understanding of the intricacies of a family tree and the relations among its individuals. Most of the software designed for genealogy provides a collection of standard charts to plot family trees, despite having limited analysis capabilities in general. In addition, most of the research in family tree visualization designs have been focused on methods to represent very large trees in a restricted space. Herein, we propose the contextual family tree, a new visualization design for family trees that represents individuals and their spouses with enhanced details about their families' context. The design was developed through an iterative prototype-evaluation design cycle. For illustrating the potential of our new visualization design, we used contextual family trees created from publicly available genealogical data communication files, showing that the design can be useful to provide a better understanding of the data and also for validating the consistency of the genealogical data.