Hardware Implementation for Pileup Correction Algorithms in Gamma_Ray Spectroscopy

Manar, M; Mohamed, S; Hashima, Sherief; Imbaby, I; Amal-Eldin, Mohamed; Nesreen, I

doi:10.5120/ijca2017915634

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…These particles include neutrons, alpha particles, beta particles, and gamma rays. Generally, the detected radiation counts of the detectors can be demonstrated as a combination of the radioactive source signal and the regular background radiation [7]. There are various types of radiation detectors, such as scintillator detectors, ionizing gas detectors, and Geiger counters.…”

Section: Introductionmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Hashima

Mahmoud

2020

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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 (BA-TS) 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.

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Section: Introductionmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Hashima

Mahmoud

2020

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Efficient signal transmission algorithms for remote sensing gamma radiation over developed mobil WiMax network

El_Tokhy

2023

Int J Communication

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SummaryThis paper overcomes two key issues within radiation monitoring networks. Secure and accurate transmission of detected gamma radiation in remote areas is the first challenge. The second one is related to the robustness of transmitted signal under different fading scenarios. These issues are handled during signal transmission over worldwide interoperability for microwave access (WiMax) networks. The signals are experimentally captured using a 137Cs point source, a NaI (TI) detector, and an analog‐to‐digital converter with 16 MS/s. For the first issue, several algorithms are implemented for secure and efficient transmission of gamma‐based signals. These algorithms include encoding of captured signal, decoding, interleaving, and frequency transformation of modulated signal. Encoding and decoding of target signals are conducted using the Reed Solomon technique and convolutional encoding with a Viterbi decoder. A superior algorithm for channel interleaver using the combinational interleaving method is introduced. Fast lifting transform (FLT) is applied for transforming modulated signal into frequency domain. The results declare that CC = 1/2 with BPSK‐1/2 coding rate introduces a better BER of 0.00068. A higher SNR of 1.5 dB is accomplished by the combinational interleaving algorithm. For the second issue, several models are suggested for overcoming channel degradations under gamma, exponential, Poisson, and geometric fading. Closed‐form expressions that describe outage probability, bit error rate (BER), and symbol error rate (SER) are suggested. Geometric and gamma fading achieve respectively a lower BER of 0.18 and 0.48. These channels demonstrate similar channel performances at 3.6 dB. The proposed models are validated through comparison with published work. Finally, the proposed algorithms enable higher data rate transmission of detected 137Cs signals under higher robustness using WiMax networks.

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Hardware Implementation for Pileup Correction Algorithms in Gamma_Ray Spectroscopy

Cited by 2 publications

References 9 publications

International Journal of Electronics and Telecommunications

International Journal of Electronics and Telecommunications

Efficient signal transmission algorithms for remote sensing gamma radiation over developed mobil WiMax network

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