RODRIGO CARARETO

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2024 - 20254

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Pesquisador Insper: search.filters.isResearcherOfPublication.daf7aa97-9b56-42b1-8976-2df2dfc1c9c3

Resultados da Pesquisa

Agora exibindo 1 - 4 de 4
  • Imagem de Miniatura
    Trabalho de Conclusão de Curso
    Estimating Room Temperature Arrival Time
    (2024) Moura, Adney Costa; Drummond, Felipe Martins da Costa; Lopes, Lorran Caetano Machado; Alessi, Tomas Rodrigues
    This project aims to develop a predictive model to estimate the temperature decay in a room equipped with air conditioning, using data collected by the Klima device, developed by Boldr, and integrating it into the company’s client environment for visualization. Klima is a device that integrates temperature and humidity sensors, allowing for both the control of air conditioning units and the transmission of data to the cloud, where it is stored and accessed through the company’s application. Based on this historical data, which includes variables such as the air conditioner’s operating mode and the temperature evolution over time, the project seeks to build a model capable of predicting the temperature decay curve of the environment, adapting to the specific behavior of each room. Besides developing the predictive model, the project also aims to integrate these predictions into Boldr’s application, making them accessible to customers, and to update the device’s firmware so that the predictions can also be displayed on a physical screen.
  • Imagem de Miniatura
    Relatório de Iniciação Científica
    Computação Quântica Topológica: Conceitos e Implementações Práticas
    (2025) Souza, Felipe Schiavinato Borges
    A computação quântica tem avançado significativamente nos últimos anos, porém, o ruído e a decoerência continuam sendo desafios fundamentais para a construção de processadores quânticos escaláveis e confiáveis. Este trabalho explora a computação quântica topológica como uma abordagem promissora para mitigar essas limitações, utilizando anyons não abelianos e qubits topológicos, que apresentam resistência inerente a erros locais devido à sua codificação global. Além disso, este estudo revisa a publicação da Microsoft Azure Quantum sobre o Majorana 1, que promete ser um marco na escalabilidade da computação quântica ao empregar modos de zero Majorana para permitir a expansão de qubits de maneira análoga à evolução dos transistores na computação clássica. A revisão dessa pesquisa é conduzida de forma didática, visando facilitar o entendimento dos conceitos envolvidos e sua relevância para o avanço dos processadores quânticos. Por fim, são apresentadas demonstrações práticas em Q#, ilustrando aplicações da computação quântica em tarefas que evidenciam sua vantagem computacional. Essas demonstrações reforçam a aplicabilidade dos computadores quânticos, destacando seu potencial para solucionar problemas complexos de forma eficiente.
  • Imagem de Miniatura
    Trabalho de Conclusão de Curso
    Supermarket Cart Tracking System
    (2025) Leventhal, Ariel; Tamm, Arthur; Trintim, Felipe; Hun, Pedro
    This paper presents the development of a real-time location system designed for supermarket shopping carts, aiming to enhance operational efficiency and customer experience. The system leverages Ultra-Wideband (UWB) technology to achieve sub-meter precision in indoor tracking, integrating seamlessly with existing smart cart hardware that includes cameras and an NVIDIA Jetson Orin. By accurately mapping cart positions, the system addresses key challenges such as cart theft prevention, dynamic product placement optimization, and potential for personalized product recommendations. The results indicate that UWB technology provides a robust and scalable solution for indoor cart tracking, improving both supermarket management and shopping convenience.
  • Imagem de Miniatura
    Trabalho de Conclusão de Curso
    Quantum Computing Applied to Financial Market Optimization Problems
    (2024) Souza, Felipe Schiavinato Borges; Oliveira, Matheus Silva Melo de; Lima, Nívea de Abreu Dantas
    This Capstone Project explores the application of Quantum Computing to enhance logistic operations through the optimization of the NP-hard problem of finding the shortest possible tour in the Travelling Salesman Problem (TSP), adapted as the Vehicle Routing Problem (VRP). By harnessing advanced quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) and the Variational Quantum Eigensolver (VQE), the project seeks to develop a flexible VRP solution adaptable to a wide range of logistics challenges, the adapted algorithm will be compared against classical solutions to validate its efficiency. As a case study, we will specifically address a cash distribution network for Bradesco, aiming to optimize routes for cost, time, demand, and security efficiency. This example demonstrates the practical applicability of our approach to real-world logistics problems. The project delivered a comprehensive system, featuring a complete pipeline that integrates data flow from input to optimized routing solutions, presented through an intuitive visual interface. The outcome can be measured against key performance indicators such as operational cost reduction and routing efficiency. This approach not only promises a cutting-edge solution but also sets a benchmark for integrating quantum computing solutions in logistic operations