A5072651712- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Advanced Chemical Sensor Technologies
- Numerical methods for differential equations
- Gas Sensing Nanomaterials and Sensors
- Silicon and Solar Cell Technologies
- Vehicle emissions and performance
- Matrix Theory and Algorithms
- Silicon Nanostructures and Photoluminescence
- Insect Pheromone Research and Control
- Thin-Film Transistor Technologies
- Electromagnetic Simulation and Numerical Methods
- Nanowire Synthesis and Applications
- Water Quality Monitoring and Analysis
- Impact of Light on Environment and Health
- Atmospheric chemistry and aerosols
- Advanced Sensor Technologies Research
- Iterative Methods for Nonlinear Equations
- Advanced Numerical Methods in Computational Mathematics
- Differential Equations and Numerical Methods
- Semiconductor Quantum Structures and Devices
- Environmental Education and Sustainability
- Semiconductor materials and interfaces
- Analytical Chemistry and Sensors
- Data Stream Mining Techniques
National Agency for New Technologies, Energy and Sustainable Economic Development
2015-2024
ENEA Portici Research Centre
2013
University of Salerno
2009-2012
The 1st EuNetAir Air Quality Joint Intercomparison Exercise organized in Aveiro (Portugal) from 13th–27th October 2014, focused on the evaluation and assessment of environmental gas, particulate matter (PM) meteorological microsensors, versus standard air quality reference methods through an experimental urban monitoring campaign. IDAD-Institute Environment Development Mobile Laboratory was placed at traffic location city centre to conduct continuous measurements with equipment analysers for...
A pervasive assessment of air quality in an urban or mobile scenario is paramount for personal city-wide exposure reduction action design and implementation. The capability to deploy a high-resolution hybrid network regulatory grade low-cost fixed devices primary enabler the development such knowledge, both as source information validating predictive models. real-time cumulative monitoring also considered driver exposome future medicine approaches. Leveraging on chemical sensing, machine...
In the last few years, interest in development of new pervasive or mobile implementations air quality multi-sensor devices, has significantly grown. New application opportunities appeared together with challenges due to limitations dealing rapid pollutants concentrations transients. this work, we propose a Dynamic Neural Network (DNN) approach stochastic prediction by means chemical devices. DNN architectures have been devised and tested order tackle cross sensitivities issues sensors...
There is an increasing scientific interest in studying vehicular traffic pollution road tunnels. This due both to the evaluating effect that different polluting gases can have on driving style of motorists and also hypothesis tunnels could be considered as closed systems which traffic–pollution correlation easier study because it more easily separated from other effects. In this work, a system low-cost IoT sensor nodes for detection carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3),...
COVID19 Pandemic impacts have been associated with Air Quality (AQ) its mortality index being significantly affected by high pollution levels. Significant mobility limitations contributed to slow down the pandemic in Italy having as a side effect definite decrease of Phase 2 while easing those limits still see significant reduction commuting and schools related car traffic emissions. High resolution AQ monitoring can now allow obtain picture if smart cities will be capable reach long sought...
The last decade has seen a significant growth in low-cost air quality monitoring systems (LCAQMS) adoption, mostly driven by the spatial density limitations of traditional regulatory grade networks which restrict their effectiveness several settings. EU's framework advise for deploying one unit per roughly 170,000 people or 15 square kilometers is insufficient capturing high spatio-temporal variance complex urban scenarios. Often these settings are characterized distributed...
The full exploitation of Composite Fiber Reinforced Polymers (CFRP) in so-called green aircrafts design is still limited by the lack adequate quality assurance procedures for checking adhesive bonding assembly, especially load-critical primary structures. In this respect, contamination CFRP panel surface significant concern since it may severely affect and mechanical properties joint. During last years, authors have developed tested an electronic nose as a non-destructive tool pre-bonding...
This electronic Air quality is nowadays a primary concern in several cities. More generally pollutant and toxic gases continuously, incidentally or purposedly released are now considered to be extremely relevant for their severe adverse health effects exposed citizens. In this view, low cost smart chemical multisensors arising as reliable source indicative data on Quality. Low UAVs versatile platforms capable host playloads integrating multi sensor technologies short term, mobile monitoring...
Artificial olfaction is an emerging application field for machine learning practitioners. In this paper, we propose a holistic approach to pattern classification in electronic noses applications. particular, show how results based on complete measurement cycle can be combined with assessment provided by real-time classifiers acting the single instantaneous sample. A running confidence measure allows obtaining fast and reliable outcomes. safety critical scenario has been selected testing of...