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Check out a new publication from SeaWave Project partner, IT'IS Foundation, on a very hot and demanding topic!![]()
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“Traceable Assessment of the Absorbed Power Density of Body Mounted Devices at Frequencies above 10 GHz” in the Special Issue of Bioelectromagnetics on Assessment of Exposure of Humans to 5G and 6G Technologies.![]()
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To meet the growing demand to demonstrate compliance with the absorbed power density (#APD) limits at frequencies above 10 GHz, a comprehensive measurement methodology was developed, based on a specialized dosimetric probe and a composite phantom, along with a calibration method and methodology-agnostic validation process. The system has a wide dynamic range and sufficient spatial resolution with a low measurement uncertainty of 1.6 dB for peak APD and <1.5 dB for peak spatially averaged APD, allowing its use for type approval of mobile devices. Read more here: lnkd.in/eKv4Mj83![]()
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#bioelectromagnetics #dosimetry #ExposureAssessment #AbsorbedPowerDensity #5GNRFR2 #DosimetricProbe #phantom #FieldReconstruction #MillimeterWave #mmWave
seawave-project.eu
On 24th July 2025, Greek Atomic Energy Commission (EEAE) in cooperation with IU Internationale Hochschule organized an online workshop in the framework of the Work Package 10 “Risk communication” ...
A new publication comes from the team of the Fakultet tehničkih nauka - Novi Sad! ![]()
The SeaWave Project partners utilise advanced data analysis techniques, underpinned by machine learning algorithms, to decompose the daily variations in EMF exposure into distinct patterns. This approach provides a more nuanced understanding of exposure fluctuations over time.![]()
The study focuses on characterising fluctuations in field strength during workdays and holidays, thereby contributing to a deeper understanding of time-distributed exposure. The continuous monitoring data, collected via the Serbian EMF RATEL network's sensors installed in Novi Sad, were processed and analysed using the Log-Normal Mixture Model (LNMM), a model-based clustering algorithm that relies on mixture distributions.![]()
The analyses demonstrate the capacity of the LNMM to differentiate between night and day exposure values, thereby identifying periods during which values persist for a greater duration throughout the day. This finding indicates that model-based clustering may offer a valuable approach for elucidating the temporal patterns of local EMF exposure.![]()
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"Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach"![]()
N. Pasquino, N. Solmonte, N. Djuric, D. Kljajic and S. Djuric, IEEE Access, vol. 13, pp. 118724-118732, 2025, doi: 10.1109/ACCESS.2025![]()
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ieeexplore.ieee.org
The increase in human exposure to electromagnetic fields (EMFs), driven by advancements in telecommunication systems like the 5G mobile system, highlights the n
"EMF Exposure of Workers Due to 5G Private Networks in Smart Industries"![]()
by P. Gajšek, C. Apostolidis, D. Plets, T. Samaras and B. Valič![]()
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#5G private mobile networks are becoming a platform for ‘wire-free’ networking for professional applications in smart industry sectors, such as automated warehousing, logistics, autonomous vehicle deployments in campus environments, mining, material processing, and more. It is expected that most of these Machine-to-Machine (#M2M) and Industrial Internet of Things (#IIoT) communication paths will be realized wirelessly, as the advantages of providing flexibility are obvious compared to hard-wired network installations. ![]()
To obtain insight into occupational exposure to radiofrequency electromagnetic fields (RF EMF) emitted by 5G private mobile networks, an analysis of RF EMF due to different types of 5G equipment was carried out by INIS, imec and AUTH teams. ![]()
Research was based on a real case scenario in the production and logistic (warehouse) industrial sector. A private standalone (SA) 5G network operating at 3.7 GHz in a real industrial environment was numerically modeled and compared with in situ RF EMF measurements. The results show that RF EMF exposure of the workers was far below the existing exposure limits due to the relatively low power (1 W) of indoor 5G base stations in private networks. In the analyzed RF EMF exposure scenarios, the radio transmitter installation heights were relatively low, and thus the obtained results represent the worst-case scenarios of the workers’ exposure that are to be expected due to private 5G networks in smart industries.![]()
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MDPI![]()
www.mdpi.com/2079-9292/14/13/2662