Trabalho de Conclusão de Curso | Graduação

URI permanente desta comunidadehttps://repositorio.insper.edu.br/handle/11224/3244

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Resultados da Pesquisa

Agora exibindo 1 - 10 de 29

Intelligent Minigame Selection for the Game Arena of Dreams
(2025) Machado, Luca Cazzolato; Almeida, Pedro Luiz Fracassi de; Colpas, Pedro Henrique Rizo
This project addresses the challenge of content repetition in Arena of Dreams, a partyroyale mobile game developed by Fanatee, where excessive repetition of minigames can undermine player engagement and retention. The project aimed to replace the game’s purely random minigame selection system with an intelligent algorithm that reduces the player’s perception of repetitiveness by spacing out similar experiences. Through a methodology involving online and in-person user surveys, computer vision and data analysis, the team quantified how players perceive similarity between minigames. Multiple distance matrices were generated from different perspectives (user perception, visual features, semantic descriptions) and combined using Multi-View Multidimensional Scaling (MVMDS) to create n-dimensional embeddings representing each minigame. The selection algorithm then uses these embeddings to calculate the optimal minigame choice based on players’ recent match history, selecting minigames that are furthest from what players have recently experienced. Validation results demonstrate that this approach successfully reduces the perception of repetition by understanding and quantifying similarity, ultimately creating a more enjoyable and engaging gaming experience for players.
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.
Effects of educational assortative matching on the probability of divorce
(2025) Roque, Bruno Caran
This study aims to measure the impact of different levels of tertiary education within a couple in the likelihood of divorce in Brazil. Brazil’s expansion of secondary and tertiary education over recent decades has reshaped the educational composition of couples, yet its implications for marital stability remain poorly understood. Using the nationally representative PNAD-Contínua rotating panel (2012-2019) with the help of the Ribas and Soares (2008) methodology for tracking individuals, we follow 452,447 married couples across five consecutive quarters. To isolate the effect of educational assortative matching, we estimate propensity scores with a rich set of demographic and economic covariates. A weighted linear-probability model on the matched sample yields an Average Treatment Effect on the Treated of –1.85 percentage points (p-value = 0.008). Considering the baseline divorce probability of 5.2% in our sample, this 1.9 percentage points reduction implies that couples whose schooling differs are about 37 % less likely to separate in the short-run than otherwise similar, education-matched couples. Because most mismatches should remain hypergamous (husband more educated), the result is consistent with gender-traditional norms that reward male economic advantage and dampen conflict. The short observation window, binary treatment definition, limitations on identifying divorce in the dataset and reliance on observable covariates restrict external validity, yet the finding challenges the common view that closing educational gaps will automatically strengthen marital stability. As gender parity in schooling widens, the protective effect of hypergamy may wane, underscoring the need for longer panels and gender-attitude measures in future research.
Identification of Flooding Incident Impacts Using Neural Networks
(2024) Santos, Alexandre Magno Maciel dos; Vaz, Eduardo Mendes; Cadorniga, João Lucas de Moraes Barros; Pertusi, Pedro Vaz de Moraes
In a world where flooding impacts are becoming increasingly common, such as the disaster in the Brazilian state of Rio Grande do Sul in 2024, the goal of this project is to develop an open-source flooding impact assessment pipeline. Preliminary technical evaluation by NVIDIA indicates that this tool could be integrated with technologies such as a flood simulation system, allowing for predictions in susceptible regions. The pipeline utilizes Convolutional Neural Networks (CNN), public population, and geographic data to process images extracted from the Sentinel-1 and Sentinel-2 satellites and generate metrics. This project classifies flooded regions prior to and after a crisis, providing, for example, estimations of the affected population by area to showcase the impact to assist urban planning professionals. The developed tool integrates a satellite data collection system from these satellites, as they are also open-source and include periodical data, and the CNNs in an intuitive and easily utilizable pipeline, inspired by UNOSAT’s Emergency Mapping which analyzed the impact of floodings in Nepal in 2021. Keywords:
Exploring RISC-V CPU for Aerospace Applications
(2024) Barreto, Arthur Martins de Souza; Barros, Eduardo Schneider Monteiro de; Patelli, Rodrigo Anciães; Assis, Victor Luis Gama de
This paper explores the potential of RISC-V CPUs for aerospace applications, focusing on the specific use case of Brushless Direct Current Motor (BLDC) control. The project aims to contribute to Brazil’s technological sovereignty by reducing reliance on foreign semiconductor technology. An initial implementation of a basic Six-Step algorithm demonstrated the feasibility of RISC-V for motor control. However, the limitations of this approach led to the investigation of more advanced Field- Oriented Control (FOC). While FOC offers superior performance, its implementation presented challenges related to timing constraints, current measurement accuracy, and rotor position feedback. The project successfully identified hardware requirements and constraints associated with BLDC motor control.
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.
Dynamic Adaptation of Graphical User Interfaces in Augmented Reality Based on Environmental Factors: Enhancing User Experience and Safety
(2024) Santos, André Corrêa; Barão, Pedro Bittar; Lima, Rafael Melhado Araujo
Augmented Reality (AR) has been experiencing great steps in further blending real life and virtual environments, by bringing additional information and virtual controls to real world scenarios. As such, adequate and responsive positioning and integration of virtual elements are fundamental in AR to provide users a seamless experience in blending virtual elements to reality. This project aims to develop an Augmented Reality solution that makes graphical user interfaces (GUI), such as interactive panels, respond dynamically to their environment. The solution automatically adjusts the positioning and appearance of graphical interfaces based on conditions from the environment, such as changes in lighting, presence of important objects (such as warning signs), to the presence of people, and to the presence of possible safety risks to the user. To achieve this, multiple techniques in the area of computer vision have been used for identifying and classifying objects detected, while a Generative Artificial Intelligence (AI) model is used to interpret more nuanced contextual data, such as a user text input. This allows interfaces to adjust themselves to not block the vision of points of interest from the user, adjust colors and contrast for legibility and visual comfort. The development of the solution has been guided by user testing to ensure effectiveness and an intuitive experience. As of this report, a prototype has been developed that can adjust the positioning of the GUI to avoid occluding specific classes based on a text input. Additionally, it modifies the color of the GUI elements to complement the dominant colors behind GUIs in the camera image.
The Political Economy of Tyrannicide
(2024) Schwartsman, David Motta Nisencwajg
In this paper, we discuss tyrannicide as a rational political strategy and we evaluate its empirical effects on democratization. We first consider the murder of political leaders as a strategy inside basic selectorate competition, in selectorate theory, and we regard its equilibrium effects. We show that assassination risk can induce greater investment in public goods and pressure a reduction in coalition size and selectorate expansion. Then, using a staggered difference-indifferences strategy with Callaway and Santana’s reweighting estimator, we compare countries whose leaders survived murder attempts by chance with countries who leaders were killed. We observe evidence that the assassinations of dictators can favor democratization, increasing their countries polity-2 index by 3 to 4 points over time in the aggregate, with a lasting effect. We find weaker evidence for assassination of leaders in general.
Building NPCs for a real-time multiplayer game with Artificial Intelligence
(2024) Duarte, Diogo dos Reis; Cunha, Eduardo Araujo Rodrigues da; Barbosa, Letícia Coêlho; Domingos, Lídia Alves Chagas
This project developed NPCs (Non-Playable Characters) using Reinforcement Learning for the multiplayer game Arena of Dreams, developed by the company Fanatee, which blends the genres of Party Royale and Trivia, forming a game of various mini games in pursuit of the podium. The project's purpose is to construct an artificial intelligence model that enables an agent to behave like other players, capable of performing the required activities in the game, allowing the match to start even without the minimum required number of people. For the construction of the model, the Unity game engine was used in conjunction with the Unity Machine Learning Agents Toolkit (ML-Agents), which is an artificial intelligence agent system.
Development of an Administrator Web App for subscriptions’ management and a Mobile App for unlocking E-bikes
(2024) Ades, Cesar Ezra; Hadba, Lila Takahashi; Kawahara, Thiago Shiguero
This project aims to develop a Web Application (App) for the Administrator (E-Moving personnel) and an users’ Mobile App for E-Moving, a rental electric bike (E-Bike) company focused on improving urban mobility. This endeavour builds upon a prior Capstone Project (PFE), which developed a control board for electric bicycles in 2023. The current initiative seeks to enhance the E-Moving profitability and control, by being able to block users’ e-bikes and mitigating the risks of theft and default. The project, a collaboration between students from Insper (São Paulo, Brazil) and Texas A&M (Texas, United States), involves Insper students developing two Apps in accordance with the requirements established by the previous project and those of the Texas A&M students. Notably, the hardware component is being developed by Texas A&M students. The project is structured into five primary segments: (i) Web App and Mobile App screen flowchart, (ii) Web App and Mobile App screen design and front-end implementation, (iii) Bluetooth connection with E-bike, (iv) Database integration with both Web App and Mobile App front-end, and (v) Integration of Bluetooth, Web App, Mobile App, and E-bike. This project emphasizes a practical application that enables administrators (E-Moving personnel) to remotely monitor client's E-bikes and for them to manage its E-bike.

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