Navegando por Autor "Martiniano, Alexandre Lopes"

Agora exibindo 1 - 8 de 8

Análise da implantação da rede de telefonia móvel celular 5G na Cidade de Manaus-AM: estudo de caso /
(2025-04-29) Oliveira, Rômolo de Sá; Fontinelle, Carlos Gomes; http://lattes.cnpq.br/8988006492142629; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259
The evolution of telecommunications technologies has brought significant transformations to contemporary society, particularly with the advent of fifth-generation mobile networks, known as 5G. This technology promises higher connection speeds, lower latency, and the ability to connect a significantly larger number of devices simultaneously, enabling advancements in solutions such as the Internet of Things (IoT), smart cities, industrial automation, and real-time connectivity. However, the deployment of 5G in regions with specific geographic and socioeconomic characteristics, such as the city of Manaus-AM, presents technical, logistical, and social challenges that warrant scientific investigation. This study aims to analyze the main factors influencing the implementation of the 5G mobile network in Manaus, considering its current technological infrastructure, the logistical obstacles posed by the Amazon region, the socioeconomic impact of the technology, and the prospects for the development of Industry 4.0 within the Manaus Industrial Hub (PIM). The research adopts a case study methodology with a qualitative and quantitative approach, based on bibliographic review, document analysis, and secondary data collection from sources such as ANATEL, IBGE, ITU, and telecommunications operator reports. The results indicate that, despite recent progress in terms of coverage and spectrum availability, there are still limitations related to fiber optic infrastructure, antenna density, and unequal access in peripheral and riverside areas. Furthermore, the integration of 5G into the local industrial sector still requires substantial investments in modernization and technical training. The study concludes that achieving the full benefits of 5G in Manaus requires coordinated efforts between public policies, operator strategies, and digital inclusion initiatives. This research contributes to the understanding of regional challenges in the deployment of 5G in Brazil and provides insights for more equitable and sustainable technological development strategies.
Uma análise dos estudos científicos brasileiros sobre armazenagem de materiais disponíveis no Google acadêmico no ano de 2023
(2024-07-05) Viana, Eliane Pereira; Martiniano, Alexandre Lopes; Martins, Gilbert Breves; Silva, Daniel Nascimento e
Purpose: This study aimed to analyze the scientific productions on storage in the Google Scholar database in 2023. Theoretical Structure: The study's theoretical structure focused on the conceptual and operational aspects of the storage process in its various dimensions and analytical categories, enabling the understanding of the main aspects of the national scientific production published in Brazilian journals, platforms, and repositories on storage. Design/Methodology/Approach: The conceptual bibliographic method was used in its four stages: the formulation of research questions, with exclusion criteria and appropriate response standards, data collection in scientific databases, organization of data in figures and other diagrammatic schemes where the responses generated can be visualized, and presentation of the results in specific communication products for evaluation by the scientific community. Findings: The results showed that a) the most frequently discussed topics in the publications were storage, storage, and specific aspects of stored materials, b) theoretical-empirical studies were predominant, c) several different methods were used to generate the findings, with the experimental method prevailing, d) most of the studies aimed to apply the knowledge generated, e) only one-third of these publications were in journals and proceedings of scientific events. Research, Practical, and Social Implications: The findings show that Brazilian journals and scientific communities prioritize theoretical-empirical studies, especially those that have the potential to be transformed into techniques and technologies. The implications are much more impactful if the production is geared towards agribusiness. Originality/Value: The study shows the theoretical-empirical trend of research on storage, mainly because it is primarily carried out by engineering areas, which seek to solve problems that the agribusiness industry has faced in its challenges of increasing the efficiency of its production process combined with the increasing quality of its products
Protótipo de sistema cartesiano para transporte de carga em uma indústria do Polo Industrial de Manaus
(2024-12-17) Souza, Marcos Paulo dos Santos; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259; Veloso, Hugo Alves
The systems developed for industrial automation have been steadily implemented in industrial hubs across various regions around the world. Their applications have addressed numerous issues and challenges, such as reducing production time, improving product quality, handling high-risk tasks, and preventing Repetitive Strain Injuries (RSI). This work aimed to develop a prototype of a Cartesian automatic robot system that replaced manual transportation of products (Pick-and-Place), accelerating the time of process. The system consists of electric actuators controlled by servo motors, sensors, and pneumatic actuators, which are in turn controlled by a programmable logic controller (PLC) and a human-machine interface (HMI). After the implementation and testing of the prototype, it was found that it was possible to achieve a reduction in load transportation time
Rede de tecnologia 5G: como medir os impactos sociais e econômicos na sociedade de Manaus com a chegada dessa tecnologia
(2023-10-05) Brito, Valéria de Jesus Souza; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259; Gadelha, Fernando de Souza; http://lattes.cnpq.br/4283627740352016
5G wireless technology has been bringing a wide range of possibilities that only a high-speed network is capable of providing, a hundred times more than its 4G predecessor, in addition to the high quality of signal transmission, low connection latency, greater number of connected devices and a more stable connection that will make it possible to instantly access information that the user intends to download, access services and content on the most varied topics. Faced with this frenzy, the State of Amazonas is in the implementation phase of 5G technology, initially in the capital (Manaus) of Amazonas, where local operators have been adapting and adapting their services, but after all, within this context, we will address this research work , the benefits that technology has been bringing to our Amazonian reality. Remembering that there is great difficulty for the telecommunications area in an environment in which population clusters are in areas geographically far from the network management headquarters, where the main means of transport is the river and also the constant bad weather that plagues this huge world green. The methodology we will use will be a bibliographical and exploratory research, in order to discover the main benefits that the emerging technology will bring and how it will change the lives of our Amazonian population. The results obtained indicate that adherence and use of the network brings material contributions in the scenario of the city of Manaus, but that specific studies are necessary in the city, as the works collected point to the scenario of other cities or regions, based on this observation, in the city of Manaus may also show similar results.
Sistema automatizado para cultivo de plantas baseado internet das coisas
(2023-09-01) Palheto Neto, Pedro Ivan Das Graças; Palheta, Pedro Ivan Das Graças; http://lattes.cnpq.br/1581213571653545; Neves, Cleonor Crescencio das; http://lattes.cnpq.br/2176855362313017; Palheta Neto, Pedro Ivan Das Graças; http://lattes.cnpq.br/1581213571653545; Neves, Cleonor Crescêncio das; http://lattes.cnpq.br/2176855362313017; Queiroz Neto, José Pínheiro de; http://lattes.cnpq.br/8055796489225138; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259
This work consists of developing an indoor greenhouse for growing plants through an automated system using the principle of the internet of things. Using the control of temperature variables, air and soil humidity and luminosity, using sensing connected to the ESP32 platform. The user is given control and access to the status of the greenhouse, providing an environment for quality cultivation and easy construction.
Sistema de detecção de Tomates (SDT): uma ferramenta de Gestão para agricultores nas fases de maturação
(2025-04-02) Fernandes, Paulo Sérgio Lima; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259; Souza, Wendisson da Silva; Palhares Júnior, Eduardo; http://lattes.cnpq.br/6704112028750834
This study presents the development and application of a computer vision system for the detection and classification of tomatoes at different ripening stages using the YOLO v8 model. The system was tested in a controlled agricultural environment, where images and videos were analyzed to identify ripe, green, and rotten tomatoes. To facilitate data visualization and interpretation, an interactive statistical dashboard was implemented, enabling real-time monitoring of agricultural production. In addition to fruit detection, the system was integrated with a climate monitoring module, providing information on temperature, humidity, and precipitation to support decision- making processes. The results indicate that the model demonstrated good performance in identifying ripe and rotten tomatoes, but faced challenges in accurately detecting green tomatoes due to lighting variations and the lower representation of this class in the dataset. This research highlights the potential of artificial intelligence in agriculture, fostering greater efficiency, automation, and quality control in food production.
Sistema Integrado de detecção de EPIS - SIDE
(2025-04-11) Prestes, Emyli Beatriz Braga; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259; Ribeiro, João Bernardo Aranha; http://lattes.cnpq.br/9027441032059817; Velozo, Hugo Alves; http://lattes.cnpq.br/8351107136518878
This work presents the development of a computer vision system aimed at the automatic detection of Personal Protective Equipment (PPE) in workplace environments. The proposal seeks to integrate artificial intelligence technology with occupational safety, contributing to accident prevention and compliance with regulatory standards. The system uses the YOLOv8 model, a real-time object detection neural network trained to identify the main PPE items: helmet, safety glasses, face mask, and reflective vest. The dataset annotation and preparation were carried out using the Roboflow platform, which also facilitated the resizing, organization, and diversification of the images. For image capture, a camera connected to a Raspberry Pi was used, sending the data to a graphical interface developed in Python using the Streamlit framework. This interface allows real-time visualization of the detected equipment, making analysis easier for the user. The system was designed to be easy to implement and operate, offering a low-cost solution with potential application in various industrial sectors. Tests showed promising results regarding detection accuracy, even under different lighting conditions. The research highlights the potential of using computer vision and IoT to promote safer and more intelligently monitored workplaces. The combination of accessible hardware, intuitive software, and deep learning models proved effective in building systems that support occupational safety.
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/9258045359598622
This 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.