Navegando por Assunto "Sensoriamento"

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Análise da interoperabilidade da infraestrutura de carregamento dos veículos elétricos e sistemas de transporte inteligente
(Centro Universitário do Estado do Pará, 2021) Brito, Matheus Moraes de; Costa, Stefany Cristina Pinheiro; Santos, Michelle Bitar Lelis dos; http://lattes.cnpq.br/1208797288539861; Ribeiro, Moshe Dayan Sousa; http://lattes.cnpq.br/5200296393526606; Dias, Suzane Alfaia; http://lattes.cnpq.br/9675395702501834
The urbanization growth and world capitals industrialization were expressive in the last decades, although pollution problems, fuel and constant congestions threaten the efficiency of urban development. Electric vehicles are a promising option to contribute in the energy diversification and an alternative to polluting forms commonly used in urban and rural road infrastructure, despite the differences between the duration recharging and refueling times between the types of vehicles. The inteligente transportation systems represent the implementation of transport advanced technologies to sense and process road conditions to improve traffic fluidity and avoid accidents. In order to improve the efficiency of electric vehicle charging, the research proposes the integration of recharge infrastructure with intelligenttransportation systems as a way of assisting drivers and companies seeking to join the new ecological trend.
IoTree: ambiente sensorizado para cultivo de horticulturas
(Centro Universitário do Estado do Pará, 2020) Santos, Alessandro Vinícius Siqueira; Pereira, Luan Wesley Siqueira; Almeida Neto, Renato Souza de; Santos, Michelle Bitar Lelis dos; http://lattes.cnpq.br/1208797288539861; Girotto, Pedro Henrique Sales; http://lattes.cnpq.br/0421749067951878
The growth of plants in homes became popular due to the change in mentality about sustainability and healthiness. However, cultivation requires time, space, knowledge and other factors, which keep people away from the interest of growing gardens. Thus, this work aims to create a sensorized environment for the cultivation of residential horticultures. For this, the factors that most impact on the development of plants were mapped and a database was developed capable of storing those data. Connected directly to the database, a mobile application was built to show the user real-time information of a plants’ environment, which were collected from the sensors that are within the elaborated compact greenhouse model.
Utilização de inteligência artificial para mapeamento de estradas não oficiais na Amazônia
(Centro Universitário do Estado do Pará, 2020) Botelho Junnior, Jonas Paiva; Ferreira, Fábio dos Santos; http://lattes.cnpq.br/4845857829374774; Ribeiro, Moshe Dayan Sousa; http://lattes.cnpq.br/5200296393526606; Teixeira, Otávio Noura; http://lattes.cnpq.br/5784356232477760
Mapping unofficial roads in the Amazon has a really important role in understanding the dynamics of access and utilization of the Biome. The Amazon Institute of People and the Environment (IMAZON), had been conducting this procedure in a manual way, making this precise process, longstading. With that in mind, this work propose a new way of making this mapping, using artificial intelligence and remote sensing technologies for accelerate the detecting of roads, making possible to tracking constantly activities in the Amazon. The model of neural net created to accomplish this task was made using a modified U-Net and using Google’s training and prediction services. The model was tested with five locations inside state of Pará, all of those with 1200 km² of area, and it produced promising results, which indicate the capacity of the network de make predictions over satellites images and identify the existence of roads, being capable of detect different formations - Dendritic, geometric and “Fishbone”. Besides that, another test to compare results between two types of images with different resolutions was conducted, showing improvement with the rising of the resolution, when made with the right input conditions. At last, this work accomplished its objective, presenting a new method to map unofficial roads in the Amazon, this being faster, less expensive and capable of keep up with the dynamic of the region.