Browsing by Author "Loureiro, Antonio Alfredo Ferreira"

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    Road data enrichment framework based on heterogeneous data fusion for ITS.
    (2020) Rettore, Paulo Henrique Lopes; Santos, Bruno Pereira dos; Lopes, Roberto Rigolin Ferreira; Menezes, João Guilherme Maia de; Villas, Leandro Aparecido; Loureiro, Antonio Alfredo Ferreira
    In this work, we propose the Road Data Enrichment (RoDE), a framework that fuses data from heterogeneous data sources to enhance Intelligent Transportation System (ITS) services, such as vehicle routing and traffic event detection. We describe RoDE through two services: (i) Route service, and (ii) Event service. For the first service, we present the Twitter MAPS (T-MAPS), a low-cost spatiotemporal model to improve the description of traffic conditions through Location- Based Social Media (LBSM) data. As a case study, we explain how T-MAPS is able to enhance routing and trajectory descriptions by using tweets. Our experiments compare T-MAPS’ routes against Google Maps’ routes, showing up to 62% of route similarity, even though T-MAPS uses fewer and coarse-grained data. We then propose three applications, Route Sentiment (RS), Route Infor- mation (RI), and Area Tags (AT), to enrich T-MAPS’ suggested routes. For the second service, we present the Twitter Incident (T-Incident), a low-cost learning-based road incident detection and enrichment approach built using heterogeneous data fusion. Our approach uses a learning-based model to identify patterns on social media data which is then used to describe a class of events, aiming to detect different types of events. Our model to detect events achieved scores above 90%, thus allowing incident detection and description as a RoDE application. As a result, the enriched event description allows ITS to better understand the LBSM user’s viewpoint about traffic events (e.g., jams) and points of interest (e.g., restaurants, theaters, stadiums).
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    Simplicity, reproducibility and scalability for huge wireless sensor network simulations.
    (2018) Silva, Matheus Leônidas; Lima, Joubert de Castro; Lima, Joubert de Castro; Loureiro, Antonio Alfredo Ferreira; Aquino, André Luiz Lins de
    Neste trabalho apresentamos duas contribuições para a literatura de redes de sensores sem fio (WSN). A primeira é um modelo geral para alcançar a reprodutibilidade no nível do kernel em simuladores paralelos. Infelizmente, os usuários devem implementar do zero como suas simulações se repetem em simuladores WSN, mas uma simulação paralela ou distribuída impõe o princípio de concorrência, não trivial de ser implementada por não especialistas. Testes usando o simulador chamado JSensor comprovaram que o modelo garante o nível mais restrito de reprodutibilidade, mesmo quando as simulações adotam diferentes números de threads ou diferentes máquinas em múltiplas execuções. A segunda contribuição é o simulador JSensor, um simulador paralelo de uso geral para aplicações WSN de grande escala e algoritmos distribuídos de alto nível. O JSensor introduz elementos de simulação mais realistas, como o ambiente representado por células personalizáveis e eventos de aplicação que representam fenômenos naturais, como raios, vento, sol, chuva e muito mais. As células são colocadas em uma grade que representa o ambiente com características do espaço definido pelos usuários, como temperatura, pressão e qualidade do ar. Avaliações experimentais mostram que o JSensor tem boa escalabilidade em arquiteturas de computadores multi-core, alcançando um speedup de 7,45 em uma máquina com 16 núcleos com tecnologia Hyper-Threading, portanto 50% dos núcleos são virtuais. O JSensor também provou ser 21% mais rápido que o OMNeT++ ao simular um modelo do tipo flooding.
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    Smart Wearable : let's think wearable from a new perspective.
    (2018) Silva, Saul Emanuel Delabrida; Rabelo, Ricardo Augusto Oliveira; Rabelo, Ricardo Augusto Oliveira; Loureiro, Antonio Alfredo Ferreira; Thomas, Bruce H.; Silva, Jorge Sá; Garcia, Luis Guilherme Uzeda; Billinghurst, Mark
    Wearable computing is considered the next big thing. The market represents billions of dollars of investments. Samsung, Google, and other companies aggregate part of this market with the release of new gadgets such as smartwatches and smartglasses. Other startups emerged in the last years and made available devices such as Fitbit and ReconJet. On the other hand, users are losing the interest on wearable devices due to the low quality of applications and the restricted value o ered by them. We did a study about the role of wearable devices and its integration. In our ndings, the dependency and low processing capabilities of the devices contribute to the scenario. The goal of this work is to introduce a new way to build and design wearable devices and systems. We propose the de nition of the terms \Wearable Accessory" and \Smart Wearable" as a new classi cation of wearable devices, systems, and applications. Our characterization was done by the development of two smart wearable devices. In our methodology, we demonstrate the design until the user experience evaluation to build these devices. Our ndings consider some current limitation of these devices and users expectations. Two applications addressed to the ecological scenarios are the secondary contribution of this work. Also, challenges and future work to improve the proposed concept and user experience with wearable devices are discussed.