Departamento de Ensino Superior
URI permanente desta comunidadehttps://ri.ifam.edu.br/handle/4321/956
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113 resultados
Resultados da Pesquisa
Item Redes sem Fio: Uma Proposta de Desenvolvimento de Sistema de Inventário de Equipamentos Utilizando RFID(2024-12-16) Farias, Venilson Andrade de; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467; Lima, Jonatas Vieira deThis work presents a proposal for the development of an equipment inventory system using RFID technology (Radio Frequency Identification) in wireless networks. RFID has emerged as an effective and reliable solution for real-time asset tracking, revolutionizing how inventories are managed in various industries. The proposed system integrates RFID technology with cloud databases, enabling continuous monitoring of equipment in various locations. This approach allows for real-time updates as assets are moved, eliminating the need for manual interventions and offering a unified view of each item's status. The system is scalable, adaptable to emerging technologies such as IoT and AI, and provides a long-term solution for organizations aiming to enhance their operational efficiency. The proposed system aims to optimize inventory management, offering a scalable solution that reduces human error, operational costs, and improves real-time asset control. The research includes design, implementation, and testing phases, alongside cost analysis and future technological integrations.Item Sistema de TV digital: análise da qualidade do sinal de transmissão de vídeo e áudio via mochilink 4g na cidade de Manaus(2024-12-11) Souza, Aroldo Ribeiro de; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Cordeiro, Marcos Carneiros da; http://lattes.cnpq.br/4969144304480235; Lima, Micael Vieira de; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467In Brazil, the digital open television signal provides the population with free access to high-quality audio and video. However, open TV faces challenges, particularly due to the rise of streaming services and cable TV, which offer on-demand content and interactivity. Although SmartTVs integrate internet functionality, their interactive experience depends on broadband connections and applications, limiting accessibility for some audiences. Additionally, simultaneous use of mobile devices, such as smartphones and tablets, often distracts viewers, reducing engagement with traditional programming. To address these challenges, 4G mochilink technology has emerged as a strategic solution, especially for communication professionals who require mobility and high-quality real-time transmission. This technology enables external live broadcasts in locations with limited internet infrastructure, particularly valuable in regions like Manaus, with geographical and network coverage challenges. This study proposes an analysis of video and audio signal quality transmitted via 4G mochilink in Manaus, assessing its effectiveness as a mobile transmission alternative for digital open TV. By utilizing mochilink, the aim is to expand open TV’s reach and provide greater accessibility in areas with limited internet infrastructure. The research seeks to provide technical data to optimize 4G mochilink use for live broadcasts, supporting the expansion of digital TV’s reach and quality.Item Telemetria de processos industriais: uma proposta de sistema de monitoramento de água em linha de produção usando IoT(2024-12-18) Silva, Heverton Souza da; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Lima, Jonatas Micael Vieira de; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467Telemetry and the Internet of Things (IoT) have revolutionized industrial processes by enabling real-time data collection and analysis to optimize water resource management in production lines. This study proposes an automated system for water monitoring, utilizing IoT devices and low-cost sensors capable of measuring variables such as pressure, flow rate, and water quality. The methodology includes a literature review, system architecture definition, hardware and software development, feasibility evaluation, and experimental validation in a real-world environment. The system aims to integrate sensors with digital platforms for data transmission and analysis, promoting operational efficiency, waste reduction, and sustainability, in alignment with Sustainable Development Goal (SDG) 6. The solution stands out for its economic accessibility and positive environmental impact, offering a robust and innovative alternative for industrial water monitoring.Item Uso de visão computacional para detecção de quedas em tempo real(2025-01-07) Chung, Minjae Lins; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467The aging of the global population brings numerous challenges, both for society as a whole and on a personal/family level. Families face the dilemma of protecting elderly family members without compromising their autonomy and independence during this vulnerable phase of their lives. Along with the physical and psychological changes involved in the natural aging process, domestic accidents, particularly falls, become common events for most of the elderly population. In this context, a fall detection system was presented, employing pose recognition (poseNet) and action recognition (actionNet) technologies, capable of automatically sending alerts to relatives or caregivers. The results demonstrated an accuracy of 82.5% in the proposed model, with near-instantaneous time between alert delivery and receivement. Thus, the system proved to be efficient, meeting the outlined objectives and serving as a foundation for future projects.Item Uso de redes neurais para classificação de resíduos sólidos(2024-11-26) Maciel, Kainy Medeiros; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Rodrigues, Marlos André Silva Rodrigues; http://lattes.cnpq.br/0650250324042531; Nascimento, José Fábio de Lima; ttp://lattes.cnpq.br/0056522906128231; Alencar, Sérgio Costa Martins de; http://lattes.cnpq.br/7936103793279068Item STDMC – Sistema de Transmissão de Dados e Monitoramento de Consumo de água: um estudo de caso no Laboratório de Projetos do IFAM-CMDI /(2024-09-27) Souza, Rander Cardoso de; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259; Silva, Nivaldo Rodrigues e; http://lattes.cnpq.br/9653122662843005; Souza, Wenndisson da Silva; http://lattes.cnpq.br/9258045359598622This work details the development of a water consumption automation and control system for industrial systems, consisting of a physical prototype and a web platform. The goal is to monitor and optimize water use, providing real-time data for strategic decisions. The physical prototype is the basis of the system. It brings together a water flow sensor, an ESP8266 microcontroller, and a Wi-Fi router. The sensor collects water consumption data, which is processed by the ESP8266 and transmitted via Wi-Fi to the web platform. The web platform, developed with HTML, CSS, and JavaScript, receives the data from the prototype, stores it in a database, and presents it to the user in the form of graphs and reports. This platform also allows you to configure consumption limits and define personalized alerts. The project is divided into two crucial phases: Phase 1: Prototype assembly and programming: In this step, the prototype is assembled with the aforementioned components. The ESP8266 microcontroller is programmed to collect data from the sensor, process it, and transmit it via Wi-Fi to the platform. Phase 2: Web platform development: The platform is built to receive, store and present the prototype data. Functionalities such as real-time visualization, graphing and reporting, setting alerts and defining consumption limits can be implemented. The success of the project depends on the seamless integration between the prototype and the web platform, ensuring the collection, processing and presentation of water consumption data in an efficient and reliable manner.Item Automatização do processo de paletização de evaporadores de condicionadores de ar a partir dos pilares da indústria 4.0: estudo de um modelo(2024-07-29) Gomes, Alan Junior Lopes; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Castro, Cristovãqo Américo Ferreira de; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467The general objective of this study is to describe the process of automating the palletizing process of evaporators on a production line, using the technologies from the pillars of Industry 4.0. The research methodology respects the characteristics of descriptive research, with a qualitative approach. The results showed that the automation of the evaporator palletizing process, by adopting Industry 4.0 technologies, brought significant improvements in operational efficiency and work safety. A substantial reduction in cycle time and improvement in process accuracy and consistency were observed, which corroborates the hypothesis that the integration of advanced automation and control systems, together with intuitive human-machine interfaces, leads to an increase in productivity.Item 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/5998752909180697Companies 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.Item Uso de redes neurais para identificação de embarcações(2024-09-23) Pedroso, Ytalo Ribeiro da Silva; Santos, Alyson de Jesus dos Santos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Souza, Daniel Fonseca de; http://lattes.cnpq.br/4043793492782488; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531Due toitsuniquegeography,theriversoftheAmazonplayasignificant roleinthedailylife of theregion,includingbeingtheonlyaccessinmoreremotecommunities,andthelackof infrastructure inmuchofthiswaterwaynetworkmakesitconducivetothetransportofillegal goods duetothelackofsupervision. When comparedtourbanareas,itispossibletonoticethepotentialforpositiveassistanceto local authoritiesthroughtheuseofrecognitiontechnologies,butthelackofcommunication structures hinderstheimplementationofthesetechnologiesinthesamewayitisdoneincities. This projectproposesthedevelopmentofaneuralnetworkapplicationaimedatassistingin public securityissuesthroughthedetectionofvesselsinportregionslocatedintheStateof Amazonas, combiningArtificial IntelligencetechniquesandEmbeddedSystemsdevices,without the useofnetworkdatatransmission.Themethodologyconsistsof:(a)Acquisitionofvessel images atMarinadoDaviandtheportofManausModerna-StateofAmazonas;(b)Preparation of thedatasetintheexpectedformatforthemodel;(c)Installation,configuration, anduseofthe Jetson NanoBoardintrainingtheNeuralNetwork;(d)UseofTransferLearning,leveraginga pre-trained model(YOLOv4Tiny)formodelgenerationonthenewdataset;(e)Validationofthe obtained results. The resultsshowthatwiththeuseofversionsoptimizedforembeddeddevices,itwaspossible to executetheYOLOv4Tinyalgorithm,performingtheclassification ofvesselsandcontributing with newvesselimages,whichprovidegreaterregionalitytothepresenteddata.Item Uso de uma rede neural convolucional para detecção de covid-19 automática através de imagens de Raio-x(2023-12-22) Cavalcante, Vinícius Loureiro; Santos, Alyson de Jesus dos Santos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Lucèlia Cunha da Rocha; http://lattes.cnpq.br/2242046166554146; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505This study aims to evaluate the effectiveness of using neural networks in the detection of COVID-19 through chest X-rays. Based on a literature review, the methodology for building the neural network will be defined, and it will be trained with data collected from reliable sources and analyzed to evaluate the accuracy of detection. The use of neural networks can be a promising and non-invasive alternative for the diagnosis of COVID-19, especially in regions where PCR tests are scarce or time-consuming. Additionally, the use of neural networks may offer advantages over other forms of diagnosis, such as computed tomography (CT), as chest radiographs are more widely available and less costly. However, it is important to consider the limitations and challenges encountered in using neural networks for this purpose, such as the lack of specificity in mild or asymptomatic cases and the need for quality equipment and trained professionals to interpret the images. This study aims to contribute to the advancement of COVID-19 diagnosis through non-invasive and effective methods, as well as to identify possible limitations and challenges in using neural networks for this purpose.