Novos documentos depositados
Rail transport has changed the way goods are transported, especially in terms of quantities and long distances covered, bringing resource savings and reducing environmental pollutants for companies and countries. On the other hand, Industry 4.0 technologies have brought benefits to the rail transport sector, such as predictive maintenance based on sensors in superstructure components, synchronization between intermodal terminals, and operational cost reduction, among others. In Braz...
The lamination process consists of processing glass with two or more sheets of this material interspersed with films, which increase the strength of the product and are known as laminated or safety glass. Therefore, the aim of this work is to analyze the physicochemical, morphological, thermal and mechanical properties of two types of commercial film, Polyvinyl Butyral (PVB) and Sentryglas® (SGA), characterizing each one, in order to help laminated glass manufacturers understand the...
Industries have had their organizational processes transformed by technological advances over the centuries. Understanding the impact of the Fourth Industrial Revolution, known as Industry 4.0, is necessary to enhance technology implementation strategies. The general objective of this study was to propose actions that facilitate strategic decision-making for the development of the technological maturity level of industries in the state of Mato Grosso. The sample of this study was co...
The implementation of sustainable energy sources is constantly expanding, with particular emphasis on wind power, which plays a significant role in meeting carbon emission reduc tion targets and diversifying energy supply. Wind turbines are highly complex systems, and the high costs associated with operation and maintenance have spurred the search for increasingly effective procedures to reduce them. This study proposes that deviati ons from expected system behavior in wind turbines be det...
Technological innovation in Brazil faces significant challenges due to issues such as the lack of integration between design and manufacturing, especially in the local production process of high-value-added products. This study explored the Product Development Process (PDP) in two Science and Technology Institutions (STIs) focused on technological innovation for health. It was observed that effective integration between the initial stages of product design and manufacturing processe...
Installation of hybrid systems with storage is a way to maximize the amount of energy generated through exploring the complementarity of dif ferent sources. Understanding hybrid power plant (HPP) operation is cru cial for optimizing new systems and reconfiguring existing plants, to their enhance efficiency. Alongside technical aspects, economic feasibility is also a fundamental feature in the construction of these systems. In this way, the objective of this master’s thesis work was to ana...
The vehicles used by the Brazilian police are basically commercial vehicles adapted to their needs, including the installation of signal lights, sirens, radio transceivers for communication, as well as plotting or institutional painting for visual identification. The use of commercial vehicles, which were not originally designed for public safety, presents significant limitations, especially in rural environments where specific technical details are generally required, such as truck...
Additive Manufacturing (AM) refers to the family of manufacturing technologies capable of manufacturing physical products from digital models by adding material, layer by layer. AM is in continuous technological evolution and has been widely used to improve spare parts management (SPM) in companies, by reducing costs, inventory and downtime of these parts. Periodicals have been published, and software have been commercialized, to identify, classify, and select appropriate spare part...
Bias and unfairness in machine learning models happen when they make biassed or unfair decisions that perpetuate and amplify the unfair discrimination and exclusion of people. Identifying and addressing bias and unfairness in those models in different application domains is a multifaceted challenge. While numerous unfairness metrics have been pro posed, determining an optimal set of metrics for assessing a model’s unfairness remains an open question in the literature due to the diverse nature...
In an ideal scenario, power systems should operate with constant, balanced, and uninterrupted currents, both in amplitude and frequency. However, reality often presents significant variations due to multiple factors, impacting power quality. This study aimed to develop an effective model for predicting harmonic distortions using a Long Short-Term Memory (LSTM) neural network approach, combined with Dropout techniques to mitigate overfitting. In the first phase, focused on the 04S3 230 kV tran...