Jessyca Bessa

Ms. Jessyca Bessa


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2014 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
AAAuzuir Ripardo de Alexandria
Auzuir Ripardo de Alexandria
Paulo César CortezPaulo César Cortez
Paulo César Cortez
JBJessyca Bessa
Jessyca Bessa
JFJohn Hebert da Silva Félix
John Hebert da Silva Félix
JAJosé Sebastião de Abreu
José Sebastião de Abreu
Victor Hugo C. AlburquerqueVictor Hugo C. Alburquerque
Victor Hugo C. Alburquerque

1 October 2015 in IEEE Latin America Transactions
Verified
Journal Article
Closed access
JBJessyca Bessa
Jessyca Bessa
DBDarlan Almeida Barroso
Darlan Almeida Barroso
ANAjalmar R. Rocha Neto
Ajalmar R. Rocha Neto
AAAuzuir Ripardo de Alexandria
Auzuir Ripardo de Alexandria
This paper presents a comparison of Mobile Robots localization methods through Artifical Neural Networks in omnidirectional images. After an overview about Mobile Robotics, this work focuses on omnidirectional vision. The motivation for this work is the implementation and comparison of feature extraction techniques that can be used in omnidirectional images seeking invariance to rotation and building descriptors that can be used in Neural Networks. Five feature extraction techniques with their adaptations for omnidirectional image were presented and compared. The results were shown in order to choose the most suitable feature extractor for this application. The feature extractors are evaluated with respect to time processing and quality of scene description (accuracy of Artificial Neural Network) The results are satisfactory and elect GIST descriptor as the most suitable for the application.

1 April 2015 in Expert Systems with Applications
Verified
Journal Article
Closed access
JBJessyca Bessa
Jessyca Bessa
PCPaulo César Cortez
Paulo César Cortez
JFJohn Hebert da Silva Félix
John Hebert da Silva Félix
ANAjalmar R. Rocha Neto
Ajalmar R. Rocha Neto
AAAuzuir Ripardo de Alexandria
Auzuir Ripardo de Alexandria

8 September 2014 in IEEE Latin America Transactions
Verified
Journal Article
Closed access
AAAuzuir Ripardo de Alexandria
Auzuir Ripardo de Alexandria
PCPaulo Cesar Cortez
Paulo Cesar Cortez
JFJohn Hebert da Silva Felix
John Hebert da Silva Felix
TOTiberio Menezes de Oliveira
Tiberio Menezes de Oliveira
AGAnaxagoras Maia Girao
Anaxagoras Maia Girao
JBJessyca Bessa
Jessyca Bessa
This work describes a prototype of an OCR (Optical Character Recognition) system designed for reading digits of power measurement devices, using Artificial Neural Networks. The motivation for this work is the implementation of an alternative automatic measurement system to be used in a prepaid power system - SEPPRA. Prototype software using Computer Vision techniques and pattern recognition through Neural Networks is implemented in the C++/Windows platform. Considering this application, adaptive threshold methods are compared in order to choose the more appropriated algorithm of binarization. Several algorithms are implemented and evaluated under different conditions of zoom and camera focus. The system works satisfactorily and can be carried to other platforms, making possible its production in commercial scale.

11 December 2015 in HOLOS
Verified
Journal Article
Open access
PDF file
FGFelipe Crisóstomo Gadelha
Felipe Crisóstomo Gadelha
JBJessyca Bessa
Jessyca Bessa
LMLorena Braga Moura
Lorena Braga Moura
DBDarlan Almeida Barroso
Darlan Almeida Barroso
JMJosé Wally Mendonça Menezes
José Wally Mendonça Menezes
AAAuzuir Ripardo de Alexandria
Auzuir Ripardo de Alexandria
O presente trabalho apresenta o estudo de uma alteração de layout, de funcional para celular, motivado pelos fundamentos da manufatura enxuta. Tendo como objetivo verificar os benefícios de se utilizar a manufatura celular com fluxo enxuto (contínuo), apresenta como metodologia um estudo de caso, pós-fato, em uma indústria de transformadores, onde a mudança foi realizada. Para fundamentar o estudo, apresenta revisão dos temas: Sistema de Manufatura Enxuta e layout industrial, para, em seguida, trazer os dados apresentados por esta indústria, ainda em um arranjo físico funcional, antes da alteração, e, em seguida, nas células de manufatura com um fluxo enxuto, após a alteração, e realizar uma comparação entre ambos. Os resultados obtidos desta comparação apresentam ganhos como aumento de produção, em 20%, e produtividade, em 56%, redução de lead time, em 67%, mão de obra direta, em 30%, tempo de processamento, em 20%, e área fabril, em 24%, dentre outros, evidenciando os benefícios que a utilização de um layout celular e Manufatura Enxuta proporcionam.

24 September 2022 in Neural Processing Letters
Verified
Journal Article
Closed access
PDF file
JBJessyca Bessa
Jessyca Bessa
GBGuilherme Barreto
Guilherme Barreto
ANAjalmar R. Rocha Neto
Ajalmar R. Rocha Neto