F
Flávio Neves Junior
Researcher at Federal University of Technology - Paraná
Publications - 10
Citations - 88
Flávio Neves Junior is an academic researcher from Federal University of Technology - Paraná. The author has contributed to research in topics: Ultrasonic sensor & Mobile robot. The author has an hindex of 4, co-authored 10 publications receiving 77 citations.
Papers
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Journal ArticleDOI
A sparse reconstruction algorithm for ultrasonic images in nondestructive testing.
Giovanni Alfredo Guarneri,Daniel R. Pipa,Flávio Neves Junior,Lúcia Valéria Ramos de Arruda,Marcelo V. W. Zibetti +4 more
TL;DR: In this paper, an image reconstruction algorithm based on regularized least squares using a l 1 regularization norm was proposed to reconstruct an image of a point-like reflector, using both simulated and real data.
Journal ArticleDOI
Navigation's Stabilization System of a Magnetic Adherence-Based Climbing Robot
Rodrigo Valerio Espinoza,Andre Schneider de Oliveira,Lúcia Valéria Ramos de Arruda,Flávio Neves Junior +3 more
TL;DR: A climbing robot based on wheel locomotion and magnetic adherence based on active gravitational compensation system and adherence stabilization system to perform internal/external inspection in liquefied petroleum gas storage tanks and other industrial storage structures is presented.
Book ChapterDOI
Localization and Navigation of a Climbing Robot Inside a LPG Spherical Tank Based on Dual-LIDAR Scanning of Weld Beads
Ricardo S. da Veiga,Andre Schneider de Oliveira,Lúcia Valéria Ramos de Arruda,Flávio Neves Junior +3 more
TL;DR: In this article, the weld beads are detected by filtering and processing techniques applied to raw signals from the LIDAR (Light Detection And Ranging) sensors and a specific classification technique is used to sort data between noises and weld beads.
Book ChapterDOI
A Decomposition Approach for the Long-Term Scheduling of a Single-Source Multiproduct Pipeline Network
William Hitoshi Tsunoda Meira,Leandro Magatão,Susana Relvas,Ana Paula Barbosa Póvoa,Flávio Neves Junior +4 more
TL;DR: A decomposition approach combining heuristic algorithms and Mixed Integer Linear Programming (MILP) models to solve the long-term scheduling of a multiproduct pipeline connecting a single-source to multiple distribution centers was proposed.
Proceedings ArticleDOI
Heterogeneous measurement system based on optical fiber and ultrasonic sensors to determine ethanol concentration
Gustavo Rafael Collere Possetti,Galileu G. Terada,Rafael Jose Daciuk,Cesar Yutaka Ofuchi,Flávio Neves Junior,Lúcia Valéria Ramos de Arruda,Marcia Muller,José Luís Fabris +7 more
TL;DR: In this article, an artificial neural network was used to correlate the sensor responses and determine the ethanol concentration in ethanol-water blends, and the results demonstrate that the heterogeneous measurement system can predict, without ambiguity for a range between 0 and 100 % v/v, ethanol concentration with maximum absolute error of 0.55 % v /v and 0.14 % V /v mean squared error, in validation step.