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State of the art in electric batteries’ State-of-Health (SoH) estimation with m...

Sylvestrin, Giovane Ronei; Maciel, Joylan Nunes; Amorim, Marcio Luís Munhoz; Carmo, João Paulo; Afonso, José A.; Lopes, Sérgio F.

The sustainable reuse of batteries after their first life in electric vehicles requires accurate state-of-health (SoH) estimation to ensure safe and efficient repurposing. This study applies the systematic ProKnow-C methodology to analyze the state of the art in SoH estimation using machine learning (ML). A bibliographic portfolio of 534 papers (from 2018 onward) was constructed, revealing key research trends. ...


Custom ASIC design for SHA-256 using open-source tools

Franck, Lucas Daudt; Ginja, Gabriel Augusto; Carmo, João Paulo; Afonso, José A.; Luppe, Maximiliam

The growth of digital communications has driven the development of numerous cryptographic methods for secure data transfer and storage. The SHA-256 algorithm is a cryptographic hash function widely used for validating data authenticity, identity, and integrity. The inherent SHA-256 computational overhead has motivated the search for more efficient hardware solutions, such as application-specific integrated circ...


Investigation of a magnetic levitation architecture with a ferrite core for ene...

Soares, Igor Nazareno; Altafim, Ruy Alberto Corrêa; Altafim, Ruy Alberto Pisani; Moreira, Melkzedekue de Moraes Alcântara Calabrese

This work presents the development of a magnetic levitation system with a ferrite core, designed for electromagnetic energy harvesting from mechanical vibrations. The system consists of a fixed enamel-coated copper coil and five neodymium-iron-boron permanent magnets housed within a PVC spool. To enhance magnetic flux concentration, a manganese-zinc ferrite (Mn-Zn) ring was employed within the spool. Experiment...


Wireless device with energy management for mlosed-loop deep brain stimulation (...

Matheus Nordi, Tiago; Augusto Ginja, Gabriel; Gounella, Rodrigo; Talanoni Fonoff, Erich; Colombari, Eduardo; Moreira, Melkzedekue M. Alcântara

Deep brain stimulation (DBS) is an effective and safe medical treatment that improves the lives of patients with a wide range of neurological and psychiatric diseases, and has been consolidated as a first-line tool in the last two decades. Closed-loop deep brain stimulation (CLDBS) pushes this tool further by automatically adjusting the stimulation parameters to the brain response in real time. The main contrib...


Low-cost/high-precision smart power supply for data loggers

Amorim, Marcio L. M.; Ginja, Gabriel Augusto; Carmo, João Paulo; Moreira, Melkzedekue Moraes Alcântara; Siqueira, Adriano Almeida Goncalves

This paper presents a low-cost/high-precision smart power supply for application on data loggers. The microprocessor unit is the brain of the system and manages the events and was optimized to provide electrical energy to the electronic devices under normal operation and under the presence of disruptive events. The measurements showed that when switching either from battery to AC or from AC to battery, neither ...


Process optimization of the flaring gas for field applications

Ibañez-Gómez, Luisa Fernanda; Albarracín-Quintero, Sebastian; Céspedes-Zuluaga, Santiago; Montes-Páez, Erik; Ando Junior, Oswaldo Hideo

During petroleum industry operations, burning flammable gas components in the flaring stacks is common, normally a symbol for stable production, but flaring these components creates harmful emissions for the environment. This flaring gas has components with a high quantity of heating power, an important measurement that quantifies the energy that can potentially be obtained from this wasted resource. This paper...

Data: 2022   |   Origem: Biblioteca Digital do IPB

Modeling and trade-off analysis of a capacitive silicon Mach-Zehnder modulator ...

Dourado, Diego M.; Rocha, Monica L.; Carmo, João Paulo; Farias, Giovanni B.; Ribeiro, J.E.

This paper presents a capacitive modulator design and modeling using poly-si and silicon technologies. We propose a methodology involving the entire modulator design process, from the optical design, charge distribution calculation and small-signal RF analysis. Thus, in the case of silicon photonics modulators, the paper proposes means to optimize the trade-offs among several figures of merit. It is shown that ...

Data: 2018   |   Origem: Biblioteca Digital do IPB

Characterization of coating processes in Moiré Diffraction Gratings for strain ...

Ribeiro, J.E.; Lopes, Hernani; Carmo, João Paulo

This paper analyses the influence of the coating process in the optical efficiency of replicated Moire´ Diffraction Gratings (MDGs), which are applied on real field applications for measuring both the surface displacements and strains. The Moire´ diffraction technique is an experimental full-field, non-contact and high resolution optical method, which can reveal to be very useful in extreme harsh environments. ...

Data: 2013   |   Origem: Biblioteca Digital do IPB

Optical fibers on medical instrumentation: a review

Carmo, João Paulo; Ribeiro, J.E.

This paper provides a revision with the state-of-the-art related to the use of optical fiber sensors on medical instrumentation. Two types of optical fiber sensors are the focus of review: conventional optical fibers for communications and fiber Bragg gratings (FBGs).

Data: 2013   |   Origem: Biblioteca Digital do IPB

Optical techniques for defect evaluation in vehicles

Carmo, João Paulo; Ribeiro, J.E.

The optical techniques are a powerful tool on situations where either the physical contact or invasive techniques for evaluation are not suitable. Vehicle environments constitute an application field for the optical techniques and are the focus of this chapter. In order to reinforce this kind of techniques, it must be clarified that the idea to manipulate the light backs to the second century before our age, wh...

Data: 2012   |   Origem: Biblioteca Digital do IPB

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