Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 3

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: radiation detection

Sortuj według:

Ogranicz wyniki do:

Metody pomiaru promieniowania i identyfikacji nuklidów w zdarzeniach CBRN: analiza badawcza z projektu EU-RADION

Szklarski Łukasz, Jakubowska Alicja, Maik Patryk, Wołoszczuk Katarzyna, Wieczorek Anna, Krajewski Paweł

Postępy Techniki Jądrowej

2023

z. 4

2--17

Praca wyznacza implikacje zdarzeń radiologicznych w scenariuszach przemysłowych i terrorystycznych, wykorzystując wnioski z projektu EU-RADION i gruntownego przeglądu literatury. Wyniki podkreślają konieczność skutecznej ochrony przed promieniowaniem i środków reagowania w nagłych przypadkach, podkreślając kluczową rolę postępu technologicznego we wzmacnianiu zdolności wykrywania i zarządzania zagrożeniami radiologicznymi. Badanie podkreśla znaczenie trwających badań naukowych i międzynarodowej współpracy w umacnianiu globalnej odporności na zagrożenia radiologiczne.

This study delineates the implications of radiological events in industrial and terroristic scenarios, utilizing insights from the EU-RADION project and a thorough review of existing literature. The findings highlight the necessity for robust radiation protection and emergency response measures, underlining the pivotal role of technological advancements in enhancing radiological threat detection and management capabilities. The study underscores the significance of ongoing research and international collaboration in bolstering global resilience against radiological hazards.

Efficient Wireless Sensor Network for Radiation Detection in Nuclear Sites

Hashima Sherief, Mahmoud Imbab

International Journal of Electronics and Telecommunications

2021

Vol. 67, No. 2

175--180

Due to the severe damages of nuclear accidents, there is still an urgent need to develop efficient radiation detection wireless sensor networks (RDWSNs) that precisely monitor irregular radioactivity. It should take actions that mitigate the severe costs of accidental radiation leakage, especially around nuclear sites that are the primary sources of electric power and many health and industrial applications. Recently, leveraging machine learning (ML) algorithms to RDWSNs is a promising solution due to its several pros, such as online learning and self-decision making. This paper addresses novel and efficient ML-based RDWSNs that utilize millimeter waves (mmWaves) to meet future network requirements. Specifically, we leverage an online learning multi-armed bandit (MAB) algorithm called Thomson sampling (TS) to a 5G enabled RDWSN to efficiently forward the measured radiation levels of the distributed radiation sensors within the monitoring area. The utilized sensor nodes are lightweight smart radiation sensors that are mounted on mobile devices and measure radiation levels using software applications installed in these mobiles. Moreover, a battery aware TS (BATS) algorithm is proposed to efficiently forward the sensed radiation levels to the fusion decision center. BA-TS reflects the remaining battery of each mobile device to prolong the network lifetime. Simulation results ensure the proposed BA-TS algorithm’s efficiency regards throughput and network lifetime over TS and exhaustive search method.

Characteristics of TlBr single crystals grown using the vertical Bridgman-Stockbarger method for semiconductor-based radiation detector applications

Kim D. J., Oh J.-H, Kim H. S., Kim Y. S., Jeong M., Kang C. G., Jo W. J., Choi H., Kim J. G., Lee S. H., Ha J. H

Materials Science Poland

2016

Vol. 34, No. 2

297--301

TlBr single crystals grown using the vertical Bridgman-Stockbarger method were characterized for semiconductor based radiation detector applications. It has been shown that the vertical Bridgman-Stockbarger method is effective to grow high-quality single crystalline ingots of TlBr. The TlBr single crystalline sample, which was located 6 cm from the tip of the ingot, exhibited lower impurity concentration, higher crystalline quality, high enough bandgap (>2.7 eV), and higher resistivity (2.5 × 1011 Ω·cm) which enables using the fabricated samples from the middle part of the TlBr ingot for fabricating high performance semiconductor radiation detectors.