Euclides Lourenço Chuma

ORCID: 0000-0003-0279-6172
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About
Contact & Profiles
Research Areas
  • Antenna Design and Analysis
  • Microwave and Dielectric Measurement Techniques
  • Microwave Engineering and Waveguides
  • Energy Harvesting in Wireless Networks
  • Smart Cities and Technologies
  • Spectroscopy and Chemometric Analyses
  • Mobile Ad Hoc Networks
  • Advanced Chemical Sensor Technologies
  • Blockchain Technology Applications and Security
  • Advanced Fiber Optic Sensors
  • Non-Invasive Vital Sign Monitoring
  • Millimeter-Wave Propagation and Modeling
  • Human Mobility and Location-Based Analysis
  • IoT and Edge/Fog Computing
  • Traffic and Road Safety
  • Big Data and Business Intelligence
  • Water Quality Monitoring and Analysis
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • RFID technology advancements
  • Full-Duplex Wireless Communications
  • Acoustic Wave Resonator Technologies
  • 3D IC and TSV technologies
  • Ethics and Social Impacts of AI
  • Explainable Artificial Intelligence (XAI)
  • Green IT and Sustainability

Universidade Estadual de Campinas (UNICAMP)
2017-2024

Centro de Tecnologia da Informação Renato Archer
2024

Linköping University
2023

Polytechnic Institute of Porto
2023

Hospital de Clínicas da Unicamp
2020

Universidade do Planalto Catarinense
2019

Universidade Presbiteriana Mackenzie
2017

A metamaterial-based microwave sensor with complementary split ring resonator (CSRR) is implemented for dielectric characterization of liquids. The novelty in the proposed contactless use liquid samples placed normal to surface. Placed inside glass capillary tubes, it quickly possible analyze properties liquids simply by replacing tubes new samples. modify resonant frequency and <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Q</i> -factor CSRR...

10.1109/jsen.2018.2872859 article EN IEEE Sensors Journal 2018-10-01

A novel era of "smart" sensors is emerging, in which they are being used combination with artificial intelligence (AI) to achieve a better understanding the world. Such need be ubiquitous. Accordingly, should have miniaturized dimensions and low costs. However, there tradeoff between cost accuracy sensors, overcome use new types techniques. In this article, metamaterial-based sensor that performs simultaneous microwave dielectric spectroscopy near-infrared (NIR) measurements presented. It...

10.1109/jsen.2022.3202708 article EN IEEE Sensors Journal 2022-09-05

Sensors for detecting wear particles in fluid lubricants have been widely studied owing to their ability diagnose mechanical machine conditions and help preventing failures caused by or contamination particles. The proposed novelty sensor was fabricated using photolithography make the complementary split ring resonator (CSSR) on PCB it utilized neodymium magnets at center of CSRR structure attract ferrous tested, we found that is highly sensitive could detect 50 ppm larger than...

10.1109/jsen.2022.3168228 article EN IEEE Sensors Journal 2022-04-18

ChatGPT (Generative Pretrained Transformer) is a chatbot using artificial intelligence (AI) launched by OpenAI, which an AI research and deployment company. The has taken the technology world storm. trained model that can chat almost like human. dialog format allows to answer follow-up questions, admit mistakes, challenge incorrect premises, reject inappropriate requests. be utilized for compiling research, drafting marketing content, brainstorming ideas, delivering aftercare services,...

10.52812/msbd.63 article EN cc-by-nc Management Science and Business Decisions 2023-07-01

This work presents the design of a rectenna topology by using compact microstrip patch antenna based on fractal model and with rectifier circuit integrated into same physical structure. configuration very reduced area, which makes proposed suitable for harvesting wireless power transfer applications where size is critical. The rectenna, implemented low‐cost FR‐4 substrate, can harvest RF from 2.45 GHz (ISM band) efficiency ∼62% when input harvested +2 dBm. suggested has been manufactured...

10.1049/iet-map.2016.1150 article EN IET Microwaves Antennas & Propagation 2017-10-11

Sensors are essential components of any modern device, and currently, device has many types sensors for several applications. However, there is a trade-off between cost accuracy in sensors, this frontier should be overcome with the use new sensor algorithms data processing. This study presents novelty by combining fluorescence microwave dielectric spectroscopy into same physical structure to improve food quality identification. The proposed incorporates planar circular complementary...

10.1109/sensors52175.2022.9966998 article EN IEEE Sensors 2022-10-30

The 2019 coronavirus disease (COVID-19) pandemic has contaminated millions of people, resulting in high fatality rates. Recently emerging artificial intelligence technologies like the convolutional neural network (CNN) are strengthening power imaging tools and can help medical specialists. CNN combined with other sensors creates a new solution to fight COVID-19 transmission. This paper presents novel method detect coughs (an important symptom COVID-19) using K-band continuous-wave Doppler...

10.1109/jsen.2020.3028494 article EN IEEE Sensors Journal 2020-10-05

This study presents a portable, compact, and cost-effective in situ monitoring device designed to monitor leaf water status through terahertz (THz) source, THz sensor, infrared array sensor. The innovation the proposed is use of Resonant Tunnelling Diodes (RTD) within sources detectors operating at ~0.28 using low-cost system's architecture that consists an integrated signal generator scope, coupled with associated hardware connected computer. configuration enables acquisition subsequent...

10.1109/jsen.2024.3395351 article EN IEEE Sensors Journal 2024-05-06

Two methods for measuring the dielectric constant and loss tangent of materials using software‐defined radio (SDR) are presented, which may be used as an alternative to expensive vector network analysers (VNA). The first method was cylindrical cavity resonator designed a resonance frequency 2.5 GHz. second complementary split ring 1.25 In both cases, measurements were carried out VNA SDR compare efficiency tools. measurement accuracy assessed by comparing results with declared values in data...

10.1049/iet-smt.2018.5094 article EN IET Science Measurement & Technology 2019-06-01

The increase in the number world population of elderly citizens, as well those who live solitude, needs an immediate solution with intelligent monitoring system at home. In this work, we present fall-detection based on IoT to monitor your privacy-protected. Currently, fall detection has attracted significant research attention and deep learning shown promising performance task using conventional cameras. However, these traditional methods pose a risk leakage personal privacy. This work...

10.1109/isc251055.2020.9239074 article EN 2022 IEEE International Smart Cities Conference (ISC2) 2020-09-28

This work presents a comparative analysis between the responses generated by ChatGPT 3.5 (January 2023 version) and 4 2024 in response to set of questions about business. It serves as an update previously published titled "Generative AI for Business Decision-Making: A Case Study with ChatGPT" authors, which utilized January 2023. The same methodology from previous were applied, but this time using its version. approach allows us offer insights into evolution tool business decision-making....

10.52812/msbd.87 article EN Management Science and Business Decisions 2024-06-30

This paper presents a novel human movement recognition system using continuous-wave Doppler radar and deep learning with convolutional neural networks. The proposed monitoring sensor has environmental robustness, dark/light-independence, are privacy-protected unlike traditional cameras. It works at distance does not cause discomfort to the elderly patients.The was evaluated various types of learning, including VGG-19, AlexNet, GoogleNet CNNs (convolutional networks). better performance...

10.1109/lamc50424.2021.9602484 article EN 2021-05-26

10.14209/sbrt.2017.6 article EN Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais 2017-01-01

The time measurement efficiency of the partial discharge (PD) relies on signal-to-noise ratio (SNR) and gain high-frequency current transformer (HFCT) sensor. However, PD's decreases with noise coupled to HFCT in onsite measurements. To overcome that setback, this paper proposes one pre-processing, through modelling simulation, considering physical effects, features electrical circuit coil construction parameters HFCT. main goal is reach reasonable high SNR under strong influence background...

10.1016/j.sna.2021.112825 article EN cc-by Sensors and Actuators A Physical 2021-05-12

In this study are analyzed horn antennas to operating at X band (8 – 12 GHz) and manufactured by additive manufacturing method (AM). To construct the using AM was necessary made structure with acrylonitrile butadiene styrene (ABS) thermoplastic a 3D printer, then coated conductive surfaces. Were fabricated three different techniques: first antenna silver paint, second copper tape third plated. It is investigated performances of these in terms input reflection coefficient, gain, radiation...

10.1590/2179-10742019v18i21337 article EN cc-by Journal of Microwaves Optoelectronics and Electromagnetic Applications 2019-06-01
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