Internet of Things
This page of Research Supported by FAPESP assembles referential information on scholarships and research grants, awarded by FAPESP, related to the research theme Internet of Things.
The display board "FAPESP Support in Numbers" presents the amount of ongoing or concluded scholarships and research grants, awarded by the Foundation, related to the theme Internet of Things. In the center of the page, you will see some information on scholarships and research grants for development in Brazil and abroad.
On the left side of the page, it is possible to browse the other Research Themes highlighted in science and in society.
Use the "Refine results" list of options to filter information on the research theme Internet of Things and to get results that are more specific for your search, according to following parameters: Field of Knowledge, type of Research Grants, modality of Scholarships, type of Programs, Institution and status of Research Projects.
Furthermore, in this page, the Maps and Graphs contribute to identifying the geographical distribution of FAPESP sponsorship in the State of São Paulo and to visualizing the historical sequence of funded research by year on the theme Internet of Things.
- Development of autonomous sensors for remote monitoring of agricultural machinery, AP.R
Abstract
Agricultural machinery and implements are constantly subjected to vibrations, either from the moving components of their mechanisms or from external factors, such as irregularities in the soil. Excessive vibrations, however, are among the primary causes of performance, operational, and safety issues in such equipment. In this context, condition monitoring in agricultural machinery has gai…
- Integration of Artificial Intelligence and IoT in Chemical Process Optimization and Water Quality Improvement in Treatment Plants, AP.PIPE
Abstract
Physicochemical processes play a crucial role in water treatment, ensuring that quality standards are met. Determining the optimum coagulant dosage, which is influenced by factors such as pH, temperature, organic matter concentration, among others, is crucial to optimizing the efficiency of the water treatment process. However, conventional methods such as the widely used jar test have li…
- Sustainable integration of intensive aquaculture (RAS) and agriculture: IoT monitoring, nutrient flow modeling and residue use in pasture fertigation, AP.PIPE
Abstract
This project aims to develop an innovative solution for integrating intensive aquaculture and fertigation of forage crops, utilizing recirculating aquaculture systems (RAS) and advanced technologies such as IoT sensors and computational modeling. The proposal seeks to optimize the use of effluents generated in aquaculture by transforming them into efficient liquid fertilizers for agricult…
(Only some records are available in English at this moment)
- IoT Forum 2025: International Symposium on the Internet of Things (SIoT) and the Brazilian and Latin American Congress on the Internet of Things (LABCIoT), AR.BR
- Medical device tracker and monitor, AP.PIPE
Abstract
The project aims to devise a Medical Device Tracker and Monitor to connect devices without internet connectivity, enabling identification, location, and data acquisition regarding their functioning. This will facilitate strategic decisions to improve operations and reduce costs. It stands out for integrating technologies such as the Medical Internet of Things (IoMT), precision sensors con…
- XXV Brazilian Automatic Congress - CBA 2024, AR.BR
(Only some records are available in English at this moment)
- Abrasive potential of desensitizing toothpastes containing bioactive glasses on eroded enamel, BP.IC
Abstract
Introduction: Desensitizing toothpastes are widely used for the relief of dentin hypersensitivity (DH), but many patients do not seek dental care, which hinders the diagnosis of underlying causes such as erosive tooth wear (ETW). ETW leads to softening of the dental surface, making it more susceptible to mechanical abrasion. Toothpastes containing bioactive glasses (phosphosilicates) rele…
- In vitro and in vivo characterization of 3D printed nerve guidence conduits for peripheral nerve regeneration, BP.DR
Abstract
Peripheral nerve injuries, if not properly treated, lead to loss of biofunctionality, mobility, and quality of life. The current gold standard for treatment is autologous grafting, but this approach has drawbacks such as donor site morbidity and low functional recovery rates. Tissue engineering-based scaffolds offer a promising alternative to overcome these limitations. This project focus…
- Study of transsynaptic degeneration in glaucoma: The role of melanopsin in preserving retina-suprachiasmatic nucleus communication, BP.DR
Abstract
Glaucoma is a chronic and progressive optic neuropathy characterized by increased intraocular pressure (IOP), resulting in progressive damage to the optic nerve and retinal ganglion cells. Although widely associated with vision loss, glaucoma also affects systems responsible for regulating biological rhythms. Despite alterations in the molecular machinery of clock genes in the suprachiasm…
(Only some records are available in English at this moment)
- Communication in 5G networks and beyond for URLLC applications with multi-hop case for drones, BP.PD
Abstract
The expected massive growth of mobile Internet traffic in 5G mobile networks introduces the need to change the operators' networks. Such networks require a drastic transformation towards open, scalable, and elastic ecosystems supporting new types of communication. The PORVIR-5G project aims to develop and demonstrate a programmable fronthaul and backhaul integrating wireless with optical-…
- Application of Transformers models for predicting DDoS attacks by correlating data sources, BP.TT
- Development of a Blockchain-Based Consensus Mechanism for Secure, Reliable and Resilient Communication between NIDS against DDoS Attacks, BP.IC
Abstract
Effective detection and mitigation of DDoS attacks directly depend on the quality of the information sources used as input for the intrusion detection systems employed. Undoubtedly, one of the best sources of information is the network traffic captured on the network interfaces of the devices under protection, especially in IoT environments. In this way, network intrusion detection system…
(Only some records are available in English at this moment)
- Lightweight Time Series Classification Models via Pruning, BE.EP.MS
Abstract
The proliferation of sensor-generated data from smartphones, wearables, and Internet of Things (IoT) devices has positioned time series classification (TSC) as a critical component in applications such as cardiac monitoring and activity recognition. While state-of-the-art deep neural networks achieve high accuracy, they frequently depend on ensemble architectures that significantly increa…
- Ecophysiological characterization in fiddler crabs from the Indian Ocean: a comparative and experimental approach, BE.EP.DD
Abstract
Fiddler crabs are typically found in the intertidal region, particularly in estuaries, mangroves, and salt marshes. They demonstrate a remarkable capacity to cope with physiological challenges imposed by the environment, being highly responsive. Thus, they constitute an insightful model group for ecophysiological and evolutionary investigations. We already investigated the ecophysiology o…
- INTEGRATION OF COMPUTATIONAL AND EXPERIMENTAL METHODS FOR THE DEVELOPMENT OF DEEP EUTECTIC ELECTROLYTES FOR HIGH-PERFORMANCE BATTERIES, BE.PQ
Abstract
This project explores deep eutectic electrolytes (DEEs) and water-based eutectic electrolytes for electrochemical energy storage devices, such as batteries and supercapacitors. Using molecular dynamics simulations and experimental techniques, the goal is to enhance the understanding of these electrolytes' structural, energetic, and dynamic properties, improving their performance, stabilit…
(Only some records are available in English at this moment)
- Refinement of Signal Conditioning Circuits for Low-Cost Piezoelectric Acoustic Emission Sensors in IoT-Based Industry 4.0 Systems, BE.EP.IC
Abstract
This international research internship aims to enhance and validate signal conditioning circuits designed for low-cost piezoelectric acoustic emission sensors, within the context of Industry 4.0 and IoT applications. The activity builds upon the student's ongoing Scientific Initiation Project and focuses on the refinement of amplification and filtering stages to improve signal quality, re…
- MACHINE LEARNING IN AGRICULTURE: A FARMER-CENTERED DECISION SUPPORT MODEL BASED ON EXPLAINABLE AI (XAI)., BE.EP.MS
Abstract
Increasing food demand and pressure for more efficient and sustainable food systems have led to the Smart Farming concept, which encompasses use of technologies such as Machine Learning approaches and Internet of Things in agriculture. Nevertheless, application of Machine Learning algorithms may lack explainability and interpretability, leading to challenges in understanding models functi…
- Urban flooding, image processing and deep learning, BE.EP.IC
Abstract
In recent years, the computational cost of training and deploying artificial intelligence models has increasedsignificantly, making these models impractical for use on low-cost platforms such as mobile devices and em-bedded systems. This challenge has prompted researchers to explore ways to optimize models, reducing boththeir energy consumption and computational demands. As a result, seve…
(Only some records are available in English at this moment)
| 75 / 75 | Ongoing grants |
| 444 / 401 | Completed research grants |
| 155 / 155 | Ongoing scholarships in Brazil |
| 785 / 679 | Completed scholarships in Brazil |
| 7 / 7 | Ongoing scholarships abroad |
| 108 / 108 | Completed scholarships abroad |
| 1,574 / 1425 | All research grants and scholarships |
| Associated processes | |
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