131 documents found, page 1 of 14
A portable and low-cost optical device for pigment-based taxonomic classificati...
Magalhães, Vitor; Pinto, Vânia Cristina Gonçalves; Sousa, Paulo Jorge Teixeira; Afonso, José A.; Gonçalves, L. M.; Fernández, Emilio; Minas, GraçaThe proliferation of certain phytoplankton species may lead to harmful algal blooms (HABs) that can affect living resources and human health. Therefore, an accurate identification of phytoplankton populations is essential for the sustainable management of some activities relevant for the blue economy, such as aquaculture, being also relevant for environmental monitoring and marine research purposes. Microalgae ...
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. ...
Early cancer detection biosensors: present situation and future outlooks
Amorim, Marcio Luis Munhoz; Ando Junior, Oswaldo Hideo; Villarim, Mariana Rodrigues; Gazziro, Mario; Moraes Castilho, Rogério; Afonso, José A.Advances in biosensors have propelled the field of intelligent medicine, leading to significant innovations in the diagnosis and treatment of complex diseases, including cancer. In this context, biosensors have emerged as a promising tool for early cancer detection, offering faster, more sensitive, and more precise diagnostics. This review explores the progress in the field of electrochemical, optical, and nano...
Secret cryptographic key sharing through the integer partition function
Nobrega, Daniel Fernandes da; Amorim, Marcio Luís Munhoz; Lopes, Sérgio F.; Carmo, João Paulo Pereira; Afonso, José A.; Gazziro, MarioSecret key exchange is a necessary function for modern cryptography. The integer partition function is a mathematical function that arises from number theory. New methods for computing the integer partition function were developed and evaluated in the context of this paper, as well as new methods for using the integer partition function in a secret key exchange. The methods were categorized into single-variable...
Development and evaluation of a piezoelectret insole for energy harvesting appl...
Amorim, Marcio L. M.; Ginja, Gabriel Augusto; Moreira, Melkzedekue de Moraes Alcântara Calabrese; Junior, Oswaldo Hideo AndoThis work presents the development and experimental validation of a low-cost, piezoelectret-based energy harvesting system integrated into a custom insole, as a promising alternative for future self-powered wearable electronics. The design utilizes eight thermoformed Teflon piezoelectrets, strategically positioned in high-impact regions (heel and forefoot), to convert footstep-induced mechanical motion into ele...
OptoBrain: A Wireless Sensory Interface for Optogenetics
Andrade, Rodrigo; Oshiro, Helder Eiki; Ginja, Gabriel Augusto; Colombari, Eduardo; Dias, Maria Celeste; Afonso, José A.; Carmo, João Paulo Pereira doOptogenetics leverages light to control neural circuits, but traditional systems are often bulky and tethered, limiting their use. This work introduces OptoBrain, a novel, portable wireless system for optogenetics designed to overcome these challenges. The system integrates modules for multichannel data acquisition, smart neurostimulation, and continuous processing, with a focus on low-power and low-voltage ope...
Georeferenced analysis of urban nightlife and noise based on mobile phone data
Elvas, Luís B.; Nunes, Miguel; Ferreira, Joao C.; Francisco, Bruno; Afonso, José A.Urban environments are characterized by a complex soundscape that varies across different periods and geographical zones. This paper presents a novel approach for analyzing nocturnal urban noise patterns and identifying distinct zones using mobile phone data. Traditional noise-monitoring methods often require specialized equipment and are limited in scope. Our methodology involves gathering audio recordings fro...
Predicting people’s concentration and movements in a smart city
Ferreira, Joao C.; Francisco, Bruno; Elvas, Luis; Nunes, Miguel; Afonso, José A.With the rapid growth of urbanization and the proliferation of mobile phone usage, smart city initiatives have gained momentum in leveraging data-driven insights to enhance urban planning and resource allocation. This paper proposes a novel approach for predicting people’s concentration and movements within a smart city environment using mobile phone data provided by telecommunication operators. By harnessing t...
Mining tourists’ movement patterns in a city
Elvas, Luís B.; Nunes, Miguel; Afonso, José A.; Helgheim, Berit Irene; Francisco, BrunoAlthough tourists generate a large amount of data (known as “big data”) when they visit cities, little is known about their spatial behavior. One of the most significant issues that has recently gained attention is mobile phone usage and user behavior tracking. A spatial and temporal data visualization approach was established with the purpose of finding tourists’ footprints. This work provides a platform for c...
A microdevice in a submicron CMOS for closed-loop deep-brain stimulation (CLDBS)
Nordi, Thiago Mateus; Gounella, Rodrigo; Amorim, Marcio L. M.; Luppe, Maximillam; Junior, João Navarro Soares; Afonso, João L.Deep-brain stimulation (DBS) is a highly effective and safe medical treatment that improves the lives of patients with a wide range of neurological and psychiatric diseases. It has been established as a first-line tool in the treatment of these conditions for the past two decades. Closed-loop deep-brain stimulation (CLDBS) advances this tool further by automatically adjusting the stimulation parameters in real ...