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- Proposal of a technological cluster to support eLearning platformPublication . Gonçalves Cardoso, Filipe; Godinho, Antonio; Rosado, J.; Caldeira, Filipe; Sa, FilipeDue to the SARS-COV-2 pandemic, educational institutions are immediately faced with a new challenge to adapt, forcing the transition from face-to-face teaching to distance learning in a short period. Distance education supported by technology is a challenge for educational institutions based on binomial technology/teaching. This paper presents a proposal for an e-learning technology structure, supported by a cluster of servers capable of responding to the requirements of distance learning based on the premises of High Availability, High Performance, Load Balancing. The beginning of this study consisted of a literature review to find the various existing technologies, a way to combine them and create a system capable of providing the necessary functionalities, and whose performance could host all the users of an institution simultaneously. The implemented system results from this combination of technologies and allows its capacity to be scaled at any moment according to momentary needs. In technological terms, the solution was based on a free Linux distribution, the Ubuntu Server installed inside a cluster of servers with VMware ESXi, and a cluster of database nodes based on Gallera technology. The eLearning platform used in this study was Moodle because it is one of the resources most used by institutions. The aspects of teaching, provision of content and execution of evaluation tests, were explored. With the implementation of the presented scenario, it was possible to guarantee the High Availability and load balancing of the platform and guarantee a high performance of the whole solution.
- A Scalable Smart Lighting Framework to Save EnergyPublication . Rebelo, João; Rodrigues, Ricardo; Henriques, João; Gonçalves Cardoso, Filipe; Wanzeller, Cristina; Caldeira, FilipeIn the past few decades, the urbanization area increased significantly, requiring enhanced services and applications to improve the lifestyle of its citizens. Lighting is one of the most relevant infrastructures due to its impact on modern societies, but it is also complex to manage them in cities since it involves a massive number of widespread posts and is costly as the result of the consumption of significant amounts of energy. In that regard, this work proposes a scalable framework to manage a significant huge number of lamp posts. Its purpose is to give support to collecting large amounts of sensor data to help to analyze and efficiently fit the light intensity level to the space the posts are covering. Luminosity sensors are used to optimize the intensity of light needed in the urban areas. The proposed framework explores the concept of smart cities by combining the data collected from sensors plugged into IoT (Internet-ofThings) devices. The proposed framework offers the capability to extend and integrate new services to different domains with each other which enhances the quality and performance of urban services. To demonstrate the feasibility of the framework, a simulation was put in place.
- Intelligent Electric Vehicle Charging ControllerPublication . Gonçalves Cardoso, Filipe; Rosado, J.; Silva, Marco; Teixeira, C. J. Coelho; Agreira, C. I. Faustino; Caldeira, Filipe; Baptista, Pedro; Barreto, Francisco; Pereirinha, Paulo G.Abstract—For domestic consumers, electricity tariffs usually have two components: one is related to the maximum available current/total power (billed in C/day) and the other concerns to the energy consumption (C/kWh). The main switchboard current is usually limited, according to the contracted power level, by way of automatic switches. To avoid main switchboard tripping by current limit violation, Electric Vehicle (EV) owners may decide to increase their contracted power (and the energy bill) or to adopt charging strategies that limit the global consumption (EV plus house needs) to the contracted current/power. In this paper, an Intelligent Electric Vehicle Charging Controller (IEVCC), allowing to use the contracted power to the maximum extent, is presented. A set of user configurable parameters can be used to define the controller behavior, in order to prevent a full switch-off. Two versions are described: a single user version that can be used at private houses and a mesh version that can be used in multi apartment buildings, providing information about consumed energy, time of use, costs and past bills.