2018
Authors
Valente, V; Martins, A; Martinho, J; Ribeiro, J; Patinha, C; Almeida, F; Silva, E; Matias, M;
Publication
2nd Conference on Geophysics for Mineral Exploration and Mining
Abstract
The Braçal –Malhada mining region, 30km NE of Aveiro included several silver-lead mines that operated until mid 20th century. Mineralization consists on sulphides (galena, sphalerite, pyrite) in quartz veins occurring in the complex Porto-Tomar shear zone, Fig. 1. Veins develop in a 10km wide area, show different orientations, are found in granites, schists and even quartzite, and can pass through different rock types with no alteration. Exploration work in the area dates from the 1950´s and 70’s. This study compiles recent geological mapping, preliminary regional geochemical and geophysical surveys. It aims to obtain a general information on the area, delineate regions for further studies, that is, fieldwork with closer grids, complementary methods (such as electromagnetics, induced polarization), etc. Because of space limitations, only selected maps are given herein. Geophysics consisted on preliminary magnetic and gravimetric mapping. Residual, gradient, second derivative and Euler deconvolution magnetic and gravimetric maps were produced, interpreted against known geology, tectonics and interesting features for further exploration work are revealed. A stream sediments sampling geochemical campaign, overall 101 samples, was carried out and allowed identifying the main geochemical association of elements. Finally, geophysical and geochemical data are integrated to provide an enhanced view of the area.
2018
Authors
Martins, A; Pinheiro, M; Ferreira, AF; Almeida, R; Matos, F; Oliveira, J; O'Toole, E; Santos, HM; Monteiro, MC; Gamboa, H; Silva, RP;
Publication
2018 INTERNATIONAL WAFER LEVEL PACKAGING CONFERENCE (IWLPC)
Abstract
The development of Low-Density Fan-Out (LDFO), formerly Wafer Level Fan-Out (WLFO), platforms to encompass the requirements of potential new markets and applications such as the Internet of Things (IoT) is crucial to maintain LDFO as the leading Fan-Out technology. This drives the development of a new set of capabilities in the current standard LDFO process flow to break through the existing technology boundaries. One of the most widely discussed advantages of LDFO packaging is heterogeneous high-density system integration in a package. LDFO System in Package (LDFO SiP) integrates active dies, passive components and even already-packaged components using other packaging technologies. This heterogeneous integration is based on a wide range of different geometries and materials placed inside the LDFOSiP with high accuracy. Ultimately, heterogeneous integration will be fundamental to achieve new levels of miniaturization. However, multi-die solutions face several challenges such as bare-die availability, passives integration, antenna integration, low power budget, test complexity and reliability. Package research and development (R&D) must overcome all of these issues to build a product with high volume manufacturability. The wafer level SiP (WLSiP) technology required to enable the new features and processes needs to be ready for high volume manufacturing of new products at high yield and reasonable cost. This paper presents the approaches used to effectively enable LDFO SiPs (WLSiPs): 1. A pre-formed vias solution is employed to connect front to back side of the package, including development for high accuracy via bar placement. 2. A wafer front-side to back-side redistribution layer (RDL) alignment solution was developed. 3. Space requirement reduction between components to achieve the smallest possible package. 4. Miniaturized Bluetooth antenna integration in the RDL. 5. Creation of a stacking concept (vertical connections to create a modular system that enables easy addition of new features to the final product). Inside the package (excluding the area reserved for the antenna), components are densely packed: several sensors, power management components, radio communication and all required passives are incorporated into a single WLSiP. Connecting all these features to create a component that works by connecting only a single battery required implementing a double sided, multi-layer RDL, while maintaining the ability to create a 3D solution by stacking vertical connections for several other solutions. The result is an approach that easily adapts the system to a variety of customers' needs. The work done is part of the collaborative COMPETE2020-PT2020 funding program under "IoTiP-Internet of Thing in Package" project no 017763, Projetos de I&DT Empresas em CoPromocao.
2018
Authors
Lonnqvist, E; Cullie, M; Bermejo, M; Tootsi, M; Smits, S; Duarte, A; Malheiro, B; Ribeiro, C; Ferreira, F; Silva, MF; Ferreira, P; Guedes, P;
Publication
TEACHING AND LEARNING IN A DIGITAL WORLD, VOL 1
Abstract
This paper reports the collaborative design and development of Helios, a wearable UltraViolet (UV) meter. Helios is intended to help preventing the negative effects of over-exposure to UV radiation, e.g., sun burning, photo ageing, eye damage and skin cancer, as well as of under-exposure to solar radiation, e.g., the risk of developing vitamin D shortage. This project-based learning experience involved five Erasmus students who participated in EPS@ISEP - the European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP) - in the spring of 2017. The Team, motivated by the desire to find a solution to this problem, conducted multiple studies, including scientific, technical, sustainability, marketing, ethics and deontology analyses, and discussions to derive the requirements, design structure, functional system and list of materials and components. The result is Helios, a prototype Wearable UV Meter that can be worn as both a bracelet and a clip-on. The tangible result was the Helios prototype, but more importantly was the learning experience of the Team, as concluded from their closing statements.
2018
Authors
Borghuis, L; Calon, B; MacLean, J; Portefaix, J; Quero, R; Duarte, A; Malheiro, B; Ribeiro, C; Ferreira, F; Silva, MF; Ferreira, P; Guedes, P;
Publication
TEACHING AND LEARNING IN A DIGITAL WORLD, VOL 1
Abstract
This paper presents the development of an Escargot Nursery by a multinational and multidisciplinary team of 3rd year undergraduates within the framework of EPS@ISEP - the European Project Semester (EPS) offered by the Instituto Superior de Engenharia do Porto (ISEP). The challenge was to design, develop and test a snail farm compliant with the applicable EU directives and the given budget. The Team, motivated by the desire to solve this multidisciplinary problem, embarked on an active learning journey, involving scientific, technical, marketing, sustainable and ethical development studies, brainstorming and decision-making. Based on this project-based learning approach, the Team identified the lack of innovative domestic snail farm products and, consequently, proposed the development of "EscarGO", a stylish solution for the domestic market. The paper details the proposed design and control system, including materials, components and technologies. This learning experience, which was focussed on the development of multicultural communication, multidisciplinary teamwork, problem-solving and decision-making competencies in students, produced as a tangible evidence the proof of concept prototype of "EscarGO", an Escargot Nursery designed for families to easily grow snails at home.
2018
Authors
Alves, B; Veloso, B; Malheiro, B;
Publication
Robotic Sailing 2017
Abstract
This paper presents a platform for real and simulated autonomous
sailing competitions, which can also be used as a research tool to test and
assess navigation algorithms. The platform provides back-end services – competition
server, boat modelling and data storage – and supports external
browsers and software agents as front-end clients. The back-end adopts the
Multi-Agent System (MAS) paradigm for the internal modelling of sailing
boats and offers a Web Service Application Programming Interface (API)
for the external software agents and a Web application for Web browsers.
As a whole, the platform offers tracking (real competitions) and simulation
(simulated competitions) modes. The testing and assessment of navigation
algorithms and boat models correspond to private simulated competitions.
In simulation mode, the back-end internal boat agent implements a simplified
physical model, including the weight, sail area, angle of the sail and
rudder, velocity and direction of the wind and position and velocity of the
hull, whereas the front-end external boat agent implements the navigation
algorithm on the team side, ensuring the privacy of strategic knowledge. The
Web application allows the configuration and launching of competitions, the
registration of teams and researchers, the uploading of boat physical features
for simulation as well as the live or playback viewing of real and simulated
competitions. The simulation mode is illustrated with the help of a case study.
The proposed platform, which is open, scalable, modular and distributed, was
designed for the research community to prepare, run and gather data from
real and simulated autonomous sailing competitions.
2018
Authors
Veloso, B; Malheiro, B; Burguillo, JC; Foss, JD; Gama, J;
Publication
Trends and Advances in Information Systems and Technologies - Volume 2 [WorldCIST'18, Naples, Italy, March 27-29, 2018]
Abstract
Nowadays, not only the number of multimedia resources available is increasing exponentially, but also the crowd-sourced feedback volunteered by viewers generates huge volumes of ratings, likes, shares and posts/reviews. Since the data size involved surpasses human filtering and searching capabilities, there is the need to create and maintain the profiles of viewers and resources to develop recommendation systems to match viewers with resources. In this paper, we propose a personalised viewer profiling technique which creates individual viewer models dynamically. This technique is based on a novel incremental learning algorithm designed for stream data. The results show that our approach outperforms previous approaches, reducing substantially the prediction errors and, thus, increasing the accuracy of the recommendations. © Springer International Publishing AG, part of Springer Nature 2018.
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