A5003605874- Atmospheric aerosols and clouds
- Allergic Rhinitis and Sensitization
- Climate variability and models
- Advanced Chemical Sensor Technologies
- Meteorological Phenomena and Simulations
- Insect Pheromone Research and Control
- Atmospheric chemistry and aerosols
- VLSI and FPGA Design Techniques
- Atmospheric Ozone and Climate
- Advanced Multi-Objective Optimization Algorithms
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Aeolian processes and effects
- Air Quality Monitoring and Forecasting
- Advanced Semiconductor Detectors and Materials
- Indoor Air Quality and Microbial Exposure
- Vehicle emissions and performance
- Optimal Experimental Design Methods
- Calibration and Measurement Techniques
- Advanced Optical Sensing Technologies
- Plant and animal studies
- Species Distribution and Climate Change
- Radiation Detection and Scintillator Technologies
- Fire effects on ecosystems
- Urban Heat Island Mitigation
Universitatea Națională de Știință și Tehnologie Politehnica București
2019-2024
National Institute of Research and Development for Optoelectronics
2019-2023
University of Bucharest
2022
Abstract The bioclimatology of thermal stress over Europe between 1979 and 2019 was analysed using the Universal Thermal Climate Index (UTCI) derived from ERA5‐HEAT reanalysis. different European regions assessed Köppen–Geiger climate classification. annual number hours with heat (UTCI > 32°C) increased significantly during study period for all subclasses, showing also a clear increase towards southern Europe. highest percentage (20% hours) cold < −13°C) occur northern A significant...
On the morning of 23 March 2018, an unusual phenomenon was observed over Romania where southeastern part country covered in a fresh-layer orange snow. The event extensively reported mass-media and social-media raised questions about origin possible impact Even if this type events, intrusions Saharan dust, have been before Romania, Europe general, their occurrence during negative temperature conditions is very rare. dust intrusion occurs mainly spring and, not accompanied by snow at low...
Abstract The changes in the characteristics of heatwaves over Romania have been analyzed using excess heat factor calculated for two climate change scenarios (RCP4.5 and RCP8.5) from EURO-CORDEX project. were evaluated near future (2021–2050) historical period (1971–2000) as reference. frequency occurrence duration is projected to increase both particular southern Romania. In this region, percentage number between 50 60% RCP4.5 scenario 60–80% RCP8.5 scenario. Also same will by 30–50% These...
Abstract. In this study, we discuss the differences in total precipitable water (TPW), retrieved from a Cimel sun photometer operating at continental site southeast Europe, between version 3 (V3) and 2 (V2) of AErosol RObotic NETwork (AERONET) algorithms. addition, evaluate performance two algorithms comparing their product with TPW obtained collocated microwave radiometer nearby radiosondes during period 2007–2017. The all three instruments was highly correlated, showing same annual cycle,...
A high-impact freezing rain event affected parts of southeastern Romania on 24–26 January 2019. The caused extensive damages in Bucharest, the capital city Romania. meteorological analysis highlighted presence a particular synoptic pattern involving high-pressure system advecting cold air mass at low levels, while mid-levels warm and humid intrusion was associated with low-pressure Mediterranean origin. At vertical profiles from ERA5 radiosondes emphasized thick layer between 1000–1400 m...
The satellite based monitoring initiative for regional air quality (SAMIRA) was set up to demonstrate the exploitation of existing data and urban scale quality. project carried out between May 2016 December 2019 focused on aerosol optical depth (AOD), particulate matter (PM), nitrogen dioxide (NO2), sulfur (SO2). SAMIRA built around several research tasks: 1. spinning enhanced visible infrared imager (SEVIRI) AOD optimal estimation algorithm improved geographically extended from Poland...
Pollen allergies are a cause of much suffering for an increasing number individuals. Current pollen monitoring techniques lacking due to their reliance on manual counting and classification by human technicians. In this study, we present neural network architecture capable distinguishing species using data from automated particle measurement device. This work presents improvement over the current state art in task classification, fluorescence spectrum aerosol particles. We obtained relative...
Data collected over a period of 18 months (December 2019–May 2021) at the Bucharest–Măgurele Cloudnet station were analysed for first time to determine macrophysical and microphysical cloud properties this site. A total number 1,327,680 vertical profiles containing target classification based on algorithm analysed, which 1,077,858 contained hydrometeors. The highest with hydrometeors (>60%) was recorded in December 2020, being observed mainly below 5 km. Above km, frequency occurrence...
Pollen allergies are a cause of much suffering in an increasing number individuals. Current pollen monitoring techniques lacking due to their reliance on manual counting by human technicians. In this study, we present neural network architecture capable distinguishing species using data from automated particle measurement device. This study presents improvement over the current state-of-the-art task classification fluorescence spectrum aerosol particles.
Pollen allergies have become one of the most wide-spread afflictions that impact quality life. This has made need for automatic pollen detection, classification and monitoring a very important topic. paper introduces new public annotated image data-set with almost 45 thousand samples obtained from an instrument. In this work we apply some best performing convolutional neural networks architectures on task as well fully optimized segmentation complex microscope images. We obtain F1 scores...
Pollen allergies are a growing concern for human health. This is why automated pollen monitoring becoming an important area of research. Machine learning approaches show great promise tackling this issue but these algorithms need large training data sets to perform well. study introduces new set, obtained using Rapid-E particle analyzer, that representative the flora Romania. Pollen, from thirteen species present in Romania, was used developing database with over 100 thousand samples...
Circuit sizing for designs with many design variables and responses is a complex task that requires highly experienced creative designers to invest precious time in trial error, routine work. In addition, the circuit while also taking into account PVT (process, voltage, temperature) variation corners increases complexity further. To simplify such tasks, select most unfavorable corner advance (leveraging their expertise), perform this condition, finally verify resulting all corners. This...
Multi-objective optimization techniques are becoming an important tool for circuit sizing. The performance of these has been validated on circuits with many design variables and responses that represent a highly complex task when approached using standard methodologies. Considering this, tackle this challenge usually based evolutionary algorithms. Reducing the number simulations necessary achieving solutions high is utmost importance, especially as take long time to execute, proportional...
Identification of atmospheric particles and aerosols is a very important topic in climatology. However, before classification, the various homogenous layers need to be segmented. In this paper we present an initial work towards development automated segmentation system for aerosols. Provided that there are no annotated datasets available task, approach problem using unsupervised machine learning techniques. Several (ML) models, previously used other similar tasks, have been trained purpose...
Although Alternaria spores are well-known allergenic fungal spores, automatic bioaerosol recognition systems have not been trained to recognize these particles until now. Here we report the development of a new algorithm able classify with BAA500 monitors. The best validation score was obtained when model on both data from original dataset and artificially generated images, unweighted mean Intersection over Union (IoU), also called Jaccard Index, 0.95. Data augmentation techniques were...
&lt;p&gt;Validation campaign for satellite missions requires efforts in terms of planning, logistics and depends on the weather its execution. Furthermore, passive instrumentation is more sensitive at weather, since special atmospheric conditions (e.g., cloud-free sky) optimum performance. In this paper are presented activities regarding preparation Sentinel 5P validation Romania, funded by ESA that involve ground-based (fixed mobile &amp;#8211; DOAS sensors), airborne...