Navegando por Assunto "Rede neural artificial"
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Item Desenvolvimento de uma inteligência artificial para a classificação de sinais sonoros de trânsito(Centro Universitário do Estado do Pará, 2022-06-08) Modesto, Matheus Cardoso; Santos Junior, Pedro Gomes dos; Brito, Roger Moraes; Girotto, Pedro Henrique Sales; http://lattes.cnpq.br/0421749067951878; Nascimento, Polyana Santos Fonseca; http://lattes.cnpq.br/6889523334917369; Dias, Suzane Alfaia; http://lattes.cnpq.br/9675395702501834In Brazil, there is a low number of people who are hearing impaired and are drivers of vehicles in traffic (IBGE, 2010), one of the causes of this are the difficulties faced by them when issuing or renewing a CNH (National Driver's License). The expansion of Assistive Technology development has enabled the PcD community to have a better quality of life and social inclusion. The purpose of this project is to develop an Artificial Intelligence, an Artificial Neural Network model which is efficient in classifying whistle, horn and siren sounds, which in a future perspective, can be implemented in an alert system to assist hearing impaired drivers. Furthermore, the presented convolutional-type Artificial Neural Network (CNN) model and the database created, give scope for the use of these components in other applications.Item Revisão sistemática sobre o uso de IA na produção de próteses de membros superiores(Centro Universitário do Estado do Pará, 2022-06-08) Rosário, Jean Lucas Costa do; Assunção, Daniel Dias; Baganha, Alessandra Natasha Alcântara Barreiros; http://lattes.cnpq.br/0672275617505946; Nascimento, Polyana Santos Fonseca; http://lattes.cnpq.br/6889523334917369; Gomes, Vitor Hugo Freitas; http://lattes.cnpq.br/5218954387107307Prostheses seek to replace the functions of the lost limb, so they are fundamental in the lives of people who have suffered from the loss of a limb, either congenitally or accidentally, especially when we talk about upper limb prostheses, due to the amount of tasks performed routinely. with hands and arms. Currently, there are several prostheses available, the myoelectric one being the most technologically advanced because it uses muscle signals for its activation, however this technology still has a deficit in the efficiency of performing the desired movement and has a high final cost. Considering that the efficiency of the prosthesis makes up this increase in the final cost along with the aesthetics and materials used, the present work analyzes the themes, starting from a systematic review, passing through the moment of the technology of upper limb prostheses, how artificial intelligence is contributing to the advancement of these technologies and what is its impact on the final cost of prostheses. It can be concluded that the advances in this topic are driven by the use of artificial intelligence, improving precision and control in the use of these upper limb prostheses, but the financial impact could not be verified.Item Teste de Turing e sua alusão a consciência de máquina(Centro Universitário do Estado do Pará, 2021-06-24) Silva, Rafael Veiga Teixeira e; Girotto, Pedro Henrique Sales; http://lattes.cnpq.br/0421749067951878; Nascimento, Polyana Santos Fonseca; http://lattes.cnpq.br/6889523334917369From the initial studies on the competences of Artificial Intelligence, in the 50s, Turing, in his article Computing Machinery and intelligence, inserted the premise "Are machines capable of thinking?". Thus, chatbots are directly related to this idea, given that they are able to converse and learn, via deep learning, to adapt to different conversation scenarios. Therefore, the objective of this work is to compare the studies of the time with the current ones on artificial intelligences and to analyze if these intelligences are able to perform the “Turing Test”, na example of the results in the Loebner Prize, and if its accomplishment matches those pointed out by Turing. That said, at the end, after applying the test to the finalists of the Loebner award, the discrepancy in scores between champion Mitsuku and the other AIs can be seen. However, it was found that despite their high score, the problem of mimicry is still directly implicated as IAs who perform the test precisely with the objective of winning the test, thus interfering with measuring as real artificial intelligence resources tested.Item 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/5784356232477760Mapping 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.