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Publications

2020

Evaluation of Lightweight Convolutional Neural Networks for Real-Time Electrical Assets Detection

Authors
Barbosa, J; Dias, A; Almeida, J; Silva, E;

Publication
Advances in Intelligent Systems and Computing

Abstract
The big growth of electrical demand by the countries required larger and more complex power systems, which have led to a greater need for monitoring and maintenance of these systems. To overcome this problem, UAVs equipped with appropriated sensors have emerged, allowing the reduction of the costs and risks when compared with traditional methods. The development of UAVs together with the great advance of the deep learning technologies, more precisely in the detection of objects, allowed to increase the level of automation in the process of inspection. This work presents an electrical assets monitoring system for detection of insulators and structures (poles and pylons) from images captured through a UAV. The proposed detection system is based on lightweight Convolutional Neural Networks and it is able to run on a portable device, aiming for a low cost, accurate and modular system, capable of running in real time. © 2020, Springer Nature Switzerland AG.

2020

Usability and Sense of Presence in Virtual Worlds for Distance Education: A Case Study with Virtual Reality Experts

Authors
Krassmann, AL; Rocha Mazzuco, AEd; Melo, M; Bessa, M; Bercht, M;

Publication
Proceedings of the 12th International Conference on Computer Supported Education

Abstract

2020

AS METODOLOGIAS ATIVAS COMO ESTRATÉGIAS PARA O DESENVOLVIMENTO DE COMPETÊNCIAS DE INTELIGÊNCIA EMOCIONAL NOS ESTUDANTES DO ENSINO SUPERIOR

Authors
Sá, S; Morais, J; Almeida, F;

Publication
New Trends in Qualitative Research - Investigação Qualitativa em Educação: avanços e desafios

Abstract

2020

A Head Mouse Alternative Solution Proposal for People with Motor Impairments: Design and Usability Assessment Study

Authors
Zengin, HA; Reis, A; Barroso, J; Rocha, T;

Publication
HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design - Lecture Notes in Computer Science

Abstract

2020

Black-box inter-application traffic monitoring for adaptive container placement

Authors
Neves, F; Vilaca, R; Pereira, J;

Publication
Proceedings of the 35th Annual ACM Symposium on Applied Computing

Abstract

2020

Wireless Sensor Network for Ignitions Detection: An IoT approach

Authors
Brito, T; Pereira, AI; Lima, J; Valente, A;

Publication
Electronics

Abstract
Wireless Sensor Networks (WSN) can be used to acquire environmental variables useful for decision-making, such as agriculture and forestry. Installing a WSN on the forest will allow the acquisition of ecological variables of high importance on risk analysis and fire detection. The presented paper addresses two types of WSN developed modules that can be used on the forest to detect fire ignitions using LoRaWAN to establish the communication between the nodes and a central system. The collaboration between these modules generate a heterogeneous WSN; for this reason, both are designed to complement each other. The first module, the HTW, has sensors that acquire data on a wide scale in the target region, such as air temperature and humidity, solar radiation, barometric pressure, among others (can be expanded). The second, the 5FTH, has a set of sensors with point data acquisition, such as flame ignition, humidity, and temperature. To test HTW and 5FTH, a LoRaWAN communication based on the Lorix One gateway is used, demonstrating the acquisition and transmission of forest data (simulation and real cases). Even in internal or external environments, these results allow validating the developed modules. Therefore, they can assist authorities in fighting wildfire and forest surveillance systems in decision-making.

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