A5009972800- Process Optimization and Integration
- Advanced Control Systems Optimization
- Robotics and Sensor-Based Localization
- Reservoir Engineering and Simulation Methods
- Scheduling and Optimization Algorithms
- Robotic Path Planning Algorithms
- Soft Robotics and Applications
- Fluid Dynamics and Mixing
- Cognitive Science and Mapping
- Flow Measurement and Analysis
- Fault Detection and Control Systems
- Robotics and Automated Systems
- Petroleum Processing and Analysis
- Cognitive Computing and Networks
- Advanced Manufacturing and Logistics Optimization
- Robot Manipulation and Learning
- Non-Destructive Testing Techniques
- Cyclone Separators and Fluid Dynamics
- Modular Robots and Swarm Intelligence
- Control and Dynamics of Mobile Robots
- Ultrasonics and Acoustic Wave Propagation
- 3D Surveying and Cultural Heritage
- Oil and Gas Production Techniques
- Operations Management Techniques
- AI-based Problem Solving and Planning
Universidade Tecnológica Federal do Paraná
2015-2024
Pontifícia Universidade Católica do Paraná
2024
Universidade Federal de Pernambuco
2023-2024
Sesame Workshop
2022
Universidade Federal de Ouro Preto
2019
Universidade Federal do Rio de Janeiro
2018
Advanced Science and Automation (United States)
2016-2017
Institute for Computer Aided Design
2015
Federal Center for Technological Education of Minas Gerais
2004-2012
Federal Center for Technological Education Celso Suckow da Fonseca
2003-2005
Pipelines have been proved to be an efficient and economic way transport oil products. However, the determination of scheduling operational activities in pipeline networks is a difficult task, methods solve such complex problem are required. In this contribution, real-world network studied, optimization model proposed order address activities. A hierarchical approach on basis integration mixed integer linear programming (MILP) set heuristic modules. This article exploits MILP model, main...
Diante da pandemia do Covid-19 declarada em 2020 pela Organização Mundial Saúde, houve a necessidade de adaptações quanto às Boas Práticas Fabricação e Manipulação (BPFM) no setor alimentação, fim continuar garantir o acesso à alimentação adequada aos trabalhadores. Este estudo teve como objetivo avaliar percepção dos colaboradores relação BPFM ocorridas nos serviços industriais na região Oeste Bahia contexto Covid-19. Foi aplicado um questionário também uma lista verificação dois será...
Introdução: O sistema CEREC oferece um corpo de escaneamento que permite o intrabucal coroas implantossuportadas, dependendo da profundidade gengival do implante. software reconhece esses dispositivos quando eles são posicionados nas bases titânio CEREC. Antes escanear, implante precisa ser selecionado no software. Se a área for escolhida como “dente”, pilar comercial pode escaneado diretamente e, tendo todos os equipamentos necessários, clínico está apto para prosseguir com passos...
Introdução: Os laminados cerâmicos podem ser uma opção para a reabilitação estética do paciente, apresentando taxas de sucesso superiores 90% após um período 15 anos em função. Objetivo: Este artigo tem como objetivo apresentar caso clínico anterior com fixados resina composta, insucesso clareamento dental. Relato caso: Paciente reclamou restaurações insatisfatórias e da cor dos demais dentes anteriores. Após realização consultório caseiro, insatisfação o resultado...
Ultrasound imaging systems (UIS) are essential tools in nondestructive testing (NDT). In general, the quality of images depends on two factors: system hardware features and image reconstruction algorithms. This paper presents a new algorithm for ultrasonic NDT. The reconstructs from A-scan signals acquired by an with monostatic transducer pulse-echo configuration. It is based regularized least squares using l1 regularization norm. method tested to reconstruct point-like reflector, both...
This paper presents an artificial life environment based on dynamic fuzzy cognitive maps (DFCMs) and inspired by multiagent systems, machine learning, concepts from classical map theory. The proposed architecture includes features such as a reinforcement learning algorithm to dynamically fine-tune the weights of DFCM, finite states machine, governing behavior creatures adding/removing into others. These are used add adaptability (agents) in simulated hunter-prey with synthetic data. Some...
In the oil industry, any improvement in planning and execution of associated operations (e.g., production, storage, distribution) can generate considerable profits. To achieve this, related activities need to be optimized. Within these activities, scheduling occur at different levels supply chain, from strategic operational looking global networks sets individual resources. This work looks into planning, namely assignment/sequencing that a multiproduct, multipipeline system. The aim is...
This work presents an approach for scheduling of operational activities in a large real-world pipeline network, where oil derivatives and ethanol are transported distributed among refineries, terminals, depots, final clients. The hierarchical decomposition approaches to solve the pipeline-scheduling problem presented by Boschetto et al. [Ind. Eng. Chem. Res. 2010, 49, 5661] Magatão 2012, 51, 4591], which based on integration mixed integer linear programming (MILP) models set heuristic...
Ultrasonic inspection techniques and non-destructive tests are widely applied in evaluating products equipment the oil, petrochemical, steel, naval, energy industries. These methods well established efficient for procedures at room temperature. However, errors can be observed positioning sizing of flaws when such used during under high working temperatures. In situations, temperature gradients generate acoustic anisotropy consequently distortion ultrasonic beams. Failure to consider...