Navegando por Autor "Santos, Alyson de Jesus dos"

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Análise comparativa de algoritmos de reconhecimento facial
(2023-02-17) Ricardo, Misael Marques; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Costa, Jaidson Brandão da; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143
THE PURPOSE OF THIS PAPER IS TO CARRY OUT A STUDY ON THE OPERATION OF FACE RECOGNITION ALGORITHMS DESCRIBED IN THE LITERATURE. THREE OF THE FACIAL RECOGNITION ALGORITHMS DESCRIBED IN THE LITERATURE WERE USED AND A TEST SET IS PROPOSED IN ORDER TO EVALUATE THE RESULT AND VERIFY THE POSSIBILITY OF USING THE ALGORITHM IN AN ACCESS CONTROL SYSTEM TO PHYSICAL SPACES. THE EIGENFACES, FISHERFACES AND LBPH ALGORITHMS WERE USED. TO THE TESTS THREE DATABASES WERE USED: THE FIRST WAS CONSTITUTED WITH PHOTOS OF THE AUTHOR AND HIS FAMILY, THE SECOND WAS THE DATABASE OF PEOPLE WITH AND WITHOUT MASKS AND LASTLY THE DATABASE CONSISTED OF PEOPLE WITH AND WITHOUT GLASSES AND THE RESULTS THE ACCURACY OF RECOGNITION WERE REPORTED AND PRESENTED IN THIS PAPER.
Análise de conectividade de redes em ambiente fluvial
(2023-02-17) Flores, Lucas Gomes; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Silva, Nivaldo Rodrigues; http://lattes.cnpq.br/9653122662843005; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Silva, Nivaldo Rodrigues; http://lattes.cnpq.br/9653122662843005; Costa, Jaidson Brandão; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143
The Amazon has the largest river basin in the world, with 20% of the planet's freshwater, made up of more than 20,000 km of navigable waterways and with 1/3 of the world's humid tropical forests. The Amazon represents almost 65% of the Brazilian territory. However, the Amazon suffers from serious data communication infrastructure problems, which undermines the level of socioeconomic development in the region. The geographical characteristics of the Amazon favor the means of river transport that serves the transport of cargo and passengers in the region. This work sought to present how the main IoT devices perform in a river environment, applied in the Catalão riverside community. The results showed that the devices have excellent wireless communication in this region of the Rio Negro, although the environment is not the most common application, the results serve as a basis for investment incentives.
Análise de sentimentos no comércio online utilizando bertimbau para o português brasileiro
(2024-03-19) Diniz , Paulo Henrique Barros; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Martins, Gilbert Breves
The digitalage,withitsrisinge-commerce,hastransformedthewayconsumersandbusinesses interact. Whileonlineshoppingoffersconvenienceandspeed,ithasalsocreatedaphysical barrier betweenconsumersandbusinesses.Thishasledtoagrowingneedforeffectivedigital communication methods.Onlinereviewshavebecomeanessentialtoolinthisprocess,acting as afeedbackbridgebetweenconsumersandbusinesses.Theopinionssharedonlinecarry considerable weight,directlyinfluencingthepurchasedecisionsofotherconsumers.Moreover, these commentsprovidevaluableinsightsforbusinessestoimprovetheirproductsandservices. Tomitigatethisdistancing,e-commerceplatformsencouragethesharingofopinionsandfeelings of usersaboutproducts,whichsignificantlyimpactsthepurchasingdecisionsofotherconsumers and providesvaluablefeedbackforbusinesses.Facedwiththevastquantityandvarietyof comments, thechallengeofanalyzingthemefficientlyarises.TheBERTimbaumodelemerges as asolution,offeringautomatedsentimentanalysisinBrazilianPortuguese.Experimental results demonstratetheeffectivenessofthemodel,withaccuraciesrangingbetween75%to88% depending onthecategorizationofsentimentsandtreatmentof3-starreviews.
Capacitação de alunos de escolas públicas para desenvolvimento de aplicativos para IOS
(2023-03-15) Santos, Gabriel Felipe Batista dos; Frota, Vitor Bremgartner da; http://lattes.cnpq.br/6100146230873494; Frota, Vitor Bremgartner da; http://lattes.cnpq.br/6100146230873494; Fernandes, Priscila Silva; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697
There are many programming courses on the market for young people. However, most courses are basic, using software that is not used in the job market and with minimal contente does not prepare the student to work in the market. The objective of this work is to investigate how the maker culture combined with the Xcode development platform can facilitate the teaching-learning processo f programming and prepare students for the job market. As a case study to apply the maker culture in programming teaching, we created a programming course with an active methodology, where in each class the students were proposed the challenge of developing an application with the newly acquired knowledge. Forty first-year high school students from three public schools participated in this course. Then, all students attended a total of 20 classes, in addition to overtime to develop the proposed projects. In the end, 35 students completed the course and developed 19 applications, 12 of which are on the Apple Store, which shows the viability of the proposal.
Desenvolvimento de um sistema inteligente OCR utilizando visão computacional para leitura de etiquetas de roteador
(2022-09-29) Xavier, Giovane Taveira de Souza; Santos, Alyson de Jesus dos; Santos, Alyson de Jesus dos; Compto, Gabriel Pinheiro; Costa, Jaidson Brandão
This final paper consists of the development of an intelligent OCR system using computer vision to read router labels, to extract information to be inserted into programs that perform router tests. The system uses a Raspberry Pi 4 as the system's processing center, coupled to it is a Logitech C270 webcam, responsible for capturing the images of the labels. The vision system uses OpenCV to process the image so that the OCR algorithm extracts the text from the image, after which the program stores and displays this information on screens simulating the test software.
Detecção de anomalias médicas no pulmão usando técnicas de inteligência artificial
(2023-12-22) Silva, Rafael Reinaldo; Santos, Alyson de Jesus dos; Alyson de Jesus dos Santos; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Lucélia Cunha da Rocha; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Silva
Artificial Intelligence (AI) is not a contemporary concept, and its presence is not alien to society; currently, numerous applications employ this knowledge. However, despite the growing incorporation of technology in various contexts and increasingly in everyday life, a significant portion of the population still views technological intervention with reservations. In the medical field, it is no different; there is concern about the replacement of healthcare professionals by intelligent machines. Those who think so are mistaken; currently, AI is already involved in various aspects, such as disease prognosis, image understanding, interconnection of prescription databases, among others, and yet there is still a need for human presence. However, such advances do not spread uniformly; there will still be many gaps in the democratization of the application of this resource, whether due to a lack of technology, training, or even distances. In the latter case, it is more common in Brazil, which has continental extensions. According to the World Health Organization (WHO), in the last decade, two of the four leading causes of death in the world are related to respiratory diseases. In Brazil, according to the Ministry of Health, in the first nine months of 2022, there were more than 40,000 deaths from pneumonia alone. This work aims to compare machine learning algorithm models to present the pros and cons of each. Neural networks were used to check a dataset of images for training, validation, and testing of models with the purpose of recognizing and diagnosing cases of pneumonia through only X-ray examinations.
Detecção de defeitos em placas de circuito impresso aplicando visão computacional
(2023-02-17) Monteiro, Lucas Paiva; Santos, Alyson de Jesus dos; Santos, Alyson de Jesus dos; Costa, Jaidson Brandão da; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143
This work consists of the development of a vision system capable of identifying faults in printed circuit boards. The system consists of a 2MP high-speed camera, a camera controller to receive the image and apply computational vision tools, a PLC to process camera information and an HMI to serve as an interface for the test operator, allowing a monitoring of results and control of the camera trigger and reset of post-shift information. The vision system is composed of the camera and the controller and works applying computer vision tools, in this work we use a self-learning pattern identification tool that allowed us to obtain a higher quality degree in the test results from a group of images.
Dispositivo de monitoramento de previsão do tempo e condições climáticas para salto a paraquedas
(2023-04-12) Silva, Leandro Costa da; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Souza, Daniel Fonseca de; http://lattes.cnpq.br/4043793492782488; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697
Sports considered extreme are differentiated by containing a high risk and adventure. These risks can be low or even risks considered very high. Skydiving, for example, is considered a high-risk sport that is susceptible to interference from weather conditions. Skydiving is a sport that promotes sensations of pleasure as is the case with skydiving. Therefore, this project intends to contribute, through a device, to a better analysis and interpretation of climate changes that occur during the practice of skydiving, before and during the jump. Then, the construction of a control device through the Arduino platform was carried out, integrated to the internet in real time to obtain data and weather conditions. For bibliographic search purposes, the Google Scholar tracker and the electronic addresses of the Brazilian Parachuting Confederation (CBPq) were used as a tool, to complement this work with more information. Based on research and studies carried out, it was found that currently there is no rule or devices used in skydiving schools to help skydiving athletes to recognize the best conditions for jumping. It is pertinent to emphasize the lack of studies and the difficulty encountered in carrying out experimental research within skydiving. Finally, it can be said that a greater participation of professionals in the areas of technology is necessary, aiming at the development and growth of the sport.
Implementação do método de regressão logística na classificação de exames por espectrometria de massa quanto à presença de câncer do ovário
(2022-04-07) Neves, João Paulo Santa Rita; Santos, Alyson de Jesus dos; Santos, Alyson de Jesus dos
This work aims to implement the logistic regression method, a simple 01 single-layer Artificial Neural Network, to classify the results of mass spectrometry exams in 02 diagnosis classes: with or without ovarian cancer. An “OvarianInputs” database was used with data from 216 patients examined with ion intensities corresponding to 100 specific load-mass values and the “OvarianTargets” database with diagnostic results for network training purposes neural. The k-fold cross validation was used in 5 randomized folders to assess the average accuracy of the model. The confusion matrix obtained from the classification of the elements of the test set of each folder was used. The algorithm responsible for this implementation was developed using Python language libraries and compared with the results obtained from the mathematical formulation of the model in MATLAB software, reaching an average accuracy of 93.03% in both implementations.
Inteligência artificial aplicada em semáforo inteligente
(2024-08-21) Vale, Ládson Danley Aguiar; Santos, Alyson de Jesus dos; Frota, Vitor Bremgartner da; Silva, Daniel Nascimento e
Máquina de cura para impressoras SLA com o uso de manufatura aditiva
(2022-12-15) Nunes, João Caio Souza; Frota, Vitor Bremgartner da; http://lattes.cnpq.br/0682962508867807; Frota, Vitor Bremgartner da; http://lattes.cnpq.br/0682962508867807; Fernandes, Priscila Silva; http://lattes.cnpq.br/6274094162838026; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697
Additive Manufacturing entered the market both in the industrial and residential areas very quickly due to its various applications, many of the works that involve this technology, use it as a means to produce parts for a larger project, or in another area, but when we are talking about additive manufacturing using SLA technology, the cost is already a little higher due to the price of the printers themselves, and for the post printing work, there is a process called "Cura" which consists of exposing the object that was printed to a source of ultraviolet light that, when it comes into contact with the surface of the piece, changes its aesthetic and physical aspects, there are machines that carry out this type of process on the market, but they have a high acquisition cost. Faced with this situation, the objective of this work is to develop a prototype of a machine that performs this curing process effectively, and that is made of low-cost electronic equipment and all of its mechanical parts are made only with the use of additive manufacturing. so that its production cost is affordable. Since its great differential will be that all its activation will be done remotely through a Web application, which works on any mobile device regardless of its operating system, the prototype was subjected to several tests for its final validation, the purpose of this project is that it can be inserted in the maker space of the federal institute of amazonas (IFAM) due to its low cost and great effectiveness in the area of additive manufacturing, and that it can arouse the curiosity of the institution's students for the maker culture.
Otimização de um sistema de manufatura do processo de soldagem por resistência robotizada para redução de custo com eletrodo
(2024-09-18) Oliveira, Ricardo Flores de; Santos, Renan Cavalcante; http://lattes.cnpq.br/6930748017205035; Santos, Renan Cavalcante; http://lattes.cnpq.br/6930748017205035; Ribeiro, Laura Michaella Batista; http://lattes.cnpq.br/8632002394782219; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697
Companies in general, especially metallurgical companies spread throughout Brazil, are increasingly seeking, with the help of technology, to have greater competitiveness in the market. And this directly implies improvement work aimed at eliminating waste, increasing profit and maintaining the quality that the market expects. That said, the present work shows that even processes that have been established for a long time can be improved to the point of being on par with current generation equipment. using low-cost resources, already available, and critical analysis of process improvement by those involved. This work describes the improvement in a robotic spot-welding process in which only 3% of the electrode was used, that is, only 0.3 mm of 9mm of the consumables (electrode CT – 309 (bullet). The aim of the improvement is to change the robot's manual adjustment system to an autonomous adjustment system, thus ensuring the conscious use of its consumables. Petri nets were used to model the system and from this, a prototype was proposed using the ladder language and instruction list as programming. At the end, the metrics of the processes before and after optimization are compared. If before we used 3% of the electrode, after the improvement we achieved the result of 67% use of the electrode, that is, we started to use 6mm of the electrode, keeping only the final 3mm as a safety margin with reference to the manufacturer's recommendation.
Prevenção contra deepfakes: desenvolvimento de um sistema de reconhecimento facial para diferenciar rostos humanos de rostos gerados por IA
(2024-03-19) Silva, Romão Charles Silva e; Santos, Alyson de Jesus dos Santos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Martins, Gilbert Breves; http://lattes.cnpq.br/4932200790121123; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0682962508867807
This work aims to develop a system based on machine learning that differentiates images of people generated by artificial intelligence from real people, a capability that can be very useful for identifying scams that use generated images. The development of the project was done in 3 main steps: data organization, training and testing. The system was entirely made in Google Colab, therefore, it used Python and the main development tool Tensorflow, two models were trained, one of which has almost twice as many images used for training, with the intention of observing the consequences of using a larger set. At the end of the project, the quantitative and qualitative results of the image classification are shown.
Simulação de um sistema automatizado de inscrições de rótulos de baterias webots
(2024-08-05) Feitosa, Paulo Rafael Rodrigues; Santos, Alyson de Jesus dos Santos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Guerreiro, Gabriel Rebello; Souza, Daniel Fonseca de; http://lattes.cnpq.br/4043793492782488
This work consists of a simulation in Webots of a visual inspection system for information printed on cell phone battery labels using pad printing. The environment includes an entry conveyor where the batteries are inserted. A camera attached to a UR5e robot captures images of the batteries and sends them to the inspection algorithm developed in Python. The inspection algorithm comprises an OCR (Optical Character Recognition) system to check if the textual information is present on the label and a classification model to verify if the symbols have been printed on the label. The UR5e robot then separates the approved and rejected batteries.
Sistema de controle de acesso utilizando Internet das Coisas e tecnologia RFDI/
(2024-12-20) Cruz Junior, Assunção Aleme da; Frota, Vitor Bremgarther da; http://lattes.cnpq.br/6100146230873494; Frota, Vitor Bremgartner da; http://lattes.cnpq.br/6100146230873494; Velozo, Hugo Alves; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697
This work aims to develop a system that allows user authentication and access validation, using IoT (Internet of Things) and RFID (Radio Frequency Identification) technologies, along with the ESP32 microcontroller and a device such as a mobile phone or computer. The user, through an RFID tag, will validate their access, which will be checked in real-time in a Firebase-hosted database. The system will then proceed with the authentication and decide whether access is authorized or not. To achieve this goal, it was necessary to integrate hardware and software resources, using Firebase Realtime Database for data storage and management. The chosen development platform was the Arduino IDE, and the ESP32 board was used as the main microcontroller, with the assistance of actuators to control access. This work aims to provide the user with the ability to monitor and control access in a practical and efficient manner.
Sistema de detecção de capacete baseado em inteligência artificial
(2023-03-24) Ramos, Arthur Cabral; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Costa, Jaidson Brandão da; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143
This work aims to develop a system based on machine learning that controls access to areas where the use of helmets as personal protective equipment is mandatory. The project was developed is three main stages: data selection, training and testing. The project used low-cost hardware and free software. The developed system used Python as a programming language in all stages and TensorFlow as the main tool. The operation occurs through a code written in Python that evaluates whether the use of the helmet is being carried out, if the answer is positive, it triggers a device that grants access, in the project the device is represented by an LED.
Sistema de prevenção infantil contra acidentes elétricos em tomadas residenciais
(2023-11-03) Cunha, Claybiane Vieira da; Frota, Vitor Bremgarther da; http://lattes.cnpq.br/6100146230873494; Frota, Vitor Bremgartner da; http://lattes.cnpq.br/6100146230873494; Sousa, Jeanne Moreira de; Santos, Alyson de Jesus dos
Electricity is present wherever people carry out their activities. On the one hand, we have convenience and progress for humanity, on the other we have the dangers that lack of information and carelessness can cause, one of the main dangers in terms of exposure being electric shock, a risk that is directly inserted in homes, and especially linked to children who, out of curiosity, can come into contact with sockets and can cause fatal accidents. For this reason, the aim of this work is to create a system to prevent children from having electrical accidents in residential sockets, using the RF 433 MHz sensor, which has a transmitter, which will be next to the child, and a receiver, which will be connected to the microcontroller and the relay in the socket. When the child approaches within the pre-defined distance, the relay will be activated and the socket will be de-energized, preventing an accident if the child touches the socket.
Sistema para cultivo de plantas utilizando princípios de Internet das coisas
(2023-05-24) Jati, Janderson Mike do Nascimento; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143
In this work, a system will be developed using Internet of Things principles for better care of local plants. The system will act when it identifies the need to change the physical state of the plant, maintaining a stable environment for its growth. System programming will be performed in the Arduino IDE, with the addition of some libraries for a more stable and complete functioning of the components. In this system, sensors and actuators will be used and it will be possible to monitor the temperature and humidity values that will be transmitted via the MQTT communication protocol to a mobile application.
Sistema remoto de automação residencial com recursos de computação em nuvem
(2022-05-13) Silva Neto, Francisco Ferreira da; Frota, Vitor Bremgartner da; Frota, Vitor Bremgartner da; Fernandes, Priscila Silva; Santos, Alyson de Jesus dos
Cloud Computing (CC) is a resource widely used in the Information Technology (IT) area, its implementation in a residential environment using the Internet of Things (IoT) concept can provide all the security, processing and stability of large CC services, as well as scalability and integration with other services such as database and mobile applications. This work aims to provide the user with remote control of home devices through a mobile application. To achieve this goal, it was necessary to use hardware and software resources integrated in a horizontal IoT architecture. Specifically, it was necessary to use AWS IoT as the main cloud service, the Android Studio IDE, the Zerynth framework and the development module ESP32, in addition to some sensors and actuators. In the end, a proposed architecture was fully implemented and with good stability in the exchange of information, thus enabling remote and online command in the electronics at result prototype.
Técnica de controle fuzzy tipo-2: estudo de caso da estabilidade e desempenho na aplicação de anestesia geral
(2022-04-29) Sousa, Giovanni Oliveira de; Neves, Cleonor Crescêncio das; Reis, Ailton Gonçalves; Neves, Cleonor Crescêncio das; Reis, Ailton Gonçalves; Santos, Alyson de Jesus dos; Rocha, Dário Souza
General anesthesia depends on the correct dosage on the patient and, consequentially, the automatic control of this dosage becomes an important and challenging research field. For that propose, this work investigates the application of the type-2 fuzzy control’s technique in general anesthesia. Firstly, a literature review was made for the work, studying type-1 and interval type-2 fuzzy controllers and their application on general anesthesia to compose case study. After this study, a pharmacokinetic/pharmacodynamic mathematical model of the effect of the drugs Atracurium and Isoflurane in the human body was implemented. To design the Type-1 and interval type-2 fuzzy controllers, the Fuzzy Logic Toolbox was used in the MATLAB environment, and then, anesthesia control simulations were made on MATLAB starting from a mathematical model. At the same time, a small-scale, low-cost prototype was built to represent the real anesthesia control system. Simulation results showed type-2 fuzzy controllers’ superiority against type-1 with the same number of inputs, however it was possible to see that the bigger number of inputs were beneficial for type-2 control as well as type-1. And finally, a comparative analysis was made, thus the conclusion was that type-2 fuzzy logic is a good alternative to control multivariable and nonlinear systems.