Navegando por Assunto "Sistemas inteligentes"

Agora exibindo 1 - 3 de 3

Acesso aberto (Open Access)
Bengala inteligente: um modelo para apoio à navegação de deficientes visuais baseado em reconhecimento de cores.
(Universidade Federal do Pará, 2019-05-28) BARBOSA, Luiz Carlos de Souza; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208
This work presents the project to develop a navigation support system for the visually impaired, based on the proposal to use a cane with electronic devices and a mobile device, aiming to help the visually impaired to find sectors and to move autonomously in a environment mapped. Mapping takes place through the implantation of bands with different colors at strategic points, where each color group identifies the sector in which it is implanted. Once mapped, it will be possible to navigate the nvironment with the support of the cane equipped with an RGB sensor for color collection, a vibration motor for tactile feedback, and a microcontroller with Wi-Fi module to connect to the mobile device. According to the respective set of colors captured by the sensor, the user receives information corresponding to a location, route or object by voice. To verify the applicability, two maps were implanted, one in internal and one external environment. Functional evaluations were performed with the support of a group of volunteers who made the route using the device. As results, qualitative data were presented of the system functionalities, collected during the experiments, through observation of the behavior of the system and application of questionnaires to the users.
Acesso aberto (Open Access)
Controle energeticamente eficiente de múltiplos saltos para redes de sensores sem fio heterogêneas utilizando lógica fuzzy
(Universidade Federal do Pará, 2014-03-21) SILVA, Alexandre Márcio Melo da; SILVEIRA, Antônio Morais da; http://lattes.cnpq.br/7549503749842625
This study presents a centralized control to elect appropriate Cluster Heads (CHs), assuming three levels of heterogeneity and multi-hop communication between Cluster Heads. The centralized control uses the k-means algorithm, responsible for the division of clusters and Fuzzy Logic to elect the Cluster Head and selecting the best route of communication between elected. The results indicate that the proposal offers great advantages, allowing us to select the most suitable nodes for group leaders at each round based on the Fuzzy System values, and also the use of Fuzzy Logic as a decision tool to implement multiple hops between CHs, since it minimizes the power dissipation of the selected CHs more distant from the collection point. The insertion of three levels of heterogeneity,corresponding to normal, advanced and super sensors, contributes considerably to increasing the period of network stability. Another great contribution obtained from the is the use of a central control in base station (BS) with advantages over local information processing in each node, a process usually found in traditional algorithms for electing CHs. The proposed solution proved that the election of the more efficient CH, considering its location and energy levels discrepancies, and also, the inclusion of new heterogeneity levels, allows to increase the networkstability period, ie, the period that the network is fully functional, greatly increasing the useful lifetime in heterogeneous WSN.
Acesso aberto (Open Access)
Otimização por multi-enxame evolucionário de partículas clássico e quântico competitivo sob a arquitetura paralela CUDA aplicado em problemas de engenharia
(Universidade Federal do Pará, 2014-05-23) SOUZA, Daniel Leal; OLIVEIRA, Roberto Célio Limão de; http://lattes.cnpq.br/4497607460894318; MONTEIRO, Dionne Cavalcante; http://lattes.cnpq.br/4423219093583221
This paper presents the development of a set of hybrid metaheuristic based on the use of evolutionary strategies in conjunction with classical and quantum multi-swarm optimization with master-slave approach. These algorithms are named Competitive Evolutionary Multi-Swarm Optimization (CEMSO) and Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimization (CQEMSO). For comparison and validation of the results, four engineering problems encountered in many publications scientific are used: Welded Beam Design (WBD); Minimization of the Weight of a Tension/ Compression Spring (MWTCS); Speed Reducer Design (SRD); Design of a Pressure Vessel (DPV). The algorithms were developed under the CUDA architecture, which provides a massive parallel computing environment that enables a more appropriate data allocation regarding the organization of swarms, as well as contributing to the significant decrease in processing time. With the application of evolutionary strategies in the PSO and QPSO algorithms, as well as the proposed boundary conditions, the solutions described in this document offer several advantages. We can highlight improvements in the ability to search, increasing the convergence rate and high degree of parallelism. These facts are confirmed by the data obtained (i.e. Execution time, best solutions obtained, mean and variance of results) by CQEMSO and CQEMSO algorithms when compared to those obtained from multi-swarm approach for PSO (COMSO), EPSO (COEMSO) and QPSO (COQMSO). All of these algorithms were implemented and subjected to performance analysis through experiments with engineering problems described above.