http://repositorio.unis.edu.br/handle/prefix/19 TCC - Arquitetura e Urbanismo Wed, 18 Mar 2026 02:25:26 GMT 2026-03-18T02:25:26Z http://repositorio.unis.edu.br/handle/prefix/2820 Título: MELHORIA EM FERRAMENTA DE INJEÇÃO PLÁSTICA PARA OTIMIZAÇÃO DA ESTABILIDADE DIMENSIONAL DE PEÇAS VEDANTES AUTOMOTIVAS Autor(es): OLIVEIRA, HIGOR ANTONIO DUTRA Primeiro Orientador: Junior, Antônio Vital Lara Abstract: This study presents an improvement in a plastic injection mold used in the manufacturing of automotive sealing parts. The main objective was to eliminate a recurring dimensional failure that affected the fit and sealing efficiency of window channels by applying structured quality analysis tools such as MASP, 8D, Ishikawa Diagram, and 5 Whys. The research was conducted in an automotive company located in Varginha-MG, involving dimensional analyses, root cause identification, and the implementation of corrective and preventive actions. As a result, a new fixed stainless-steel stop system was developed to replace the worn movable stop, leading to enhanced dimensional stability, cost reduction, and improved process reliability. The study demonstrated the effectiveness of the 8D methodology for definitive problem-solving and contributed to strengthening a culture of continuous improvement and quality in automotive manufacturing. Editor: Fundação de Ensino e Pesquisa do Sul de Minas Tipo: Trabalho de Conclusão de Curso Tue, 11 Nov 2025 00:00:00 GMT http://repositorio.unis.edu.br/handle/prefix/2820 2025-11-11T00:00:00Z http://repositorio.unis.edu.br/handle/prefix/2819 Título: O USO DE INTELIGÊNCIA ARTIFICIAL NA OTIMIZAÇÃO DE ARQUITETURAS DE HARDWARE: melhorando o processamento, reduzindo custos e ampliando o acesso a tecnologias de processamento neural Autor(es): Vitor Bruno Teodoro, Vitor Bruno Primeiro Orientador: Cunha, Alberane Lúcio Thiago da Abstract: This study investigates the use of artificial intelligence (AI) techniques to optimize hardware architectures, focusing on processors with dedicated neural cores. The main objective is to understand how AI methods such as machine learning, genetic algorithms, and reinforcement learning can contribute to improving computational performance, energy efficiency, and reducing manufacturing costs of these processors. The research adopts a qualitative, exploratory, and descriptive approach, based on a systematic literature review and a comparative analysis of performance and efficiency benchmarks from different hardware platforms. Case studies demonstrating the practical application of these techniques in the design and manufacturing of neural processors are also considered. The results indicate that the use of AI in hardware development accelerates design cycles, optimizes resource utilization, and reduces failures, contributing to the development of more accessible and sustainable solutions. Furthermore, integrating AI into hardware design promotes the democratization of access to high-performance technologies, positively impacting sectors such as healthcare, industry, security, education, and the digital economy. It is concluded that the application of these techniques represents a promising path to overcoming the cost and complexity challenges of neural processors, strengthening their presence in mobile devices, embedded systems, and corporate environments. Editor: Fundação de Ensino e Pesquisa do Sul de Minas Tipo: Trabalho de Conclusão de Curso Fri, 14 Nov 2025 00:00:00 GMT http://repositorio.unis.edu.br/handle/prefix/2819 2025-11-14T00:00:00Z http://repositorio.unis.edu.br/handle/prefix/2818 Título: DIFICULDADE DAS EMPRESAS DO SUL DE MINAS NO USO DE GESTÃO ÁGIL PARA DESENVOLVIMENTO DE PROJETOS Autor(es): Nishimura, Vinícius Kenzo Rezende Primeiro Orientador: Silva, Nelson Abstract: Project management in small and medium-sized enterprises (SMEs) faces significant challenges, especially in adopting agile methodologies and digital platforms. This study investigates the use of agile methodologies and project management platforms in SMEs in the Southern Minas Gerais region, identifying the main challenges faced during their adoption. The research is characterized as applied, qualitative and exploratory, conducted through an online questionnaire applied to 29 companies from different sectors between September 2025. The results indicate that 69.0% of companies use some formal methodology, with 62.0% adopting agile or hybrid approaches. The main difficulties identified were: lack of knowledge about agile methodologies (51.7%), implementation and licensing costs (48.3%), and difficulty in adapting to business reality (44.8%). Qualitative analysis revealed that companies that overcame these barriers achieved significant benefits, such as up to 280% increase in delivery speed. It is concluded that the main obstacle is not the availability of tools, but organizational and cultural factors. Investment in technical training, change management, gradual implementation and adaptation of methodologies to the specific reality of each organization is recommended. Editor: Fundação de Ensino e Pesquisa do Sul de Minas Tipo: Trabalho de Conclusão de Curso Tue, 04 Nov 2025 00:00:00 GMT http://repositorio.unis.edu.br/handle/prefix/2818 2025-11-04T00:00:00Z http://repositorio.unis.edu.br/handle/prefix/2817 Título: CRIPTOGRAFIA E LEI GERAL DE PROTEÇÃO DE DADOS PESSOAIS: A IMPORTÂNCIA DA PROTEÇÃO DE DADOS NA COMPUTAÇÃO EM NUVEM NO BRASIL Autor(es): Amaral, Nicolas Arthur Oliveira Primeiro Orientador: Lucio, Alberane Abstract: The popularization of cloud computing in Brazil presents significant challenges for personal data protection, especially after the General Data Protection Law (LGPD) came into effect. Encryption has emerged as the primary technical measure for reducing the risk of data leaks and unauthorized access in cloud environments. This study's overall objective was to understand how encryption can ensure data protection and maintain legal compliance in cloud environments. The methodology used was qualitative, exploratory, and descriptive research, based on a literature and document review, analyzing scientific articles, legislation (LGPD), ANPD guidelines, and international technical standards, such as those from NIST. Research has found that the effectiveness of encryption for LGPD compliance involves more than simply applying algorithms. Effective protection requires an approach based on the data lifecycle, protecting it in transit, securely, in use (through confidential computing), and upon deletion (via crypto-shredding). It is concluded that the legal compliance of the Controller (client) depends directly on its ability to maintain data control through key management (KMS), using models such as BYOK (Bring Your Own Key) to maintain control, even in infrastructure operated by third parties. Editor: Fundação de Ensino e Pesquisa do Sul de Minas Tipo: Trabalho de Conclusão de Curso Sun, 09 Nov 2025 00:00:00 GMT http://repositorio.unis.edu.br/handle/prefix/2817 2025-11-09T00:00:00Z