Real-time Molecular Analysis Methods Based on Cloud Computing

Zakharov, Maxim; Muthanna, Ammar; Kirichek, Ruslan; Koucheryavy, Andrey

doi:10.23919/icact48636.2020.9061274

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…In [12,32], the following sequence of steps was described for an Internet-based real-time NIR spectrometer molecular analysis procedure, which is shown in Fig. 6.…”

Section: Network Traffic Interception and Characterizationmentioning

confidence: 99%

“…Importantly, m-health technologies allow patients to remain mobile and monitor their health status in their daily lives without significant limitations. On the other hand, m-health uses cloud platforms and Edge Computing [10,11,12] to accumulate data, process and store them, and perform deep analysis using AI. m-Health technologies provide many different services.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prototype Design and Experimental Evaluation e-Healthcare System based on Molecular Analysis Devices

Zakharov¹,

Paramonov²,

Muthanna³

et al. 2021

IJACSA

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Recently, wireless body area networks (WBANs) and mobile Internet of Things (IoT) have been greatly increased and integrated into a different type of systems such as electronic/mobile-healthcare (e/m-healthcare) systems. In addition, analyzing the composition of drugs or performing the medical rapid tests in the conditions field are the main tasks of the m-healthcare system, in which the traditional laboratory methods of analysis are not suitable. Therefore, in this study, we proposed a novel structure with a distributed e-health system to perform such analysis, where portable infrared micro spectrometers are utilized and then boundary calculations are applied. More specifically, this system is proposed to use a portable infrared micro spectrometer with a specially designed application connected to a public communication network, which can process the results of analysis using boundary calculations. Moreover, it provides remote processing and long-term storage of analysis data using artificial neural networks and cloud technologies. Finally, simulation results show that preprocessing (error checking), data buffering and Edge Computing can significantly reduce the network latency and volume of transferred data.

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“…In [12,32], the following sequence of steps was described for an Internet-based real-time NIR spectrometer molecular analysis procedure, which is shown in Fig. 6.…”

Section: Network Traffic Interception and Characterizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%