Analytical solution of fractional-order hyperbolic telegraph equation, using natural transform decomposition method

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Author listKhan H., Shah R., Baleanu D., Kumam P., Arif M.

PublisherHindawi

Publication year2019

Volume number8

Issue number9

ISBN9781450349147

ISSN0146-9428

eISSN1745-4557

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060281135&doi=10.1145%2f3041021.3054931&partnerID=40&md5=925874416683de5d143f09af0a3f2883

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

In the recent times there has been a lot of effort to use the various ICT technologies available to monitor and improve the lifestyle of the older generation. In most of the countries across the globe, these elderly people have to stay alone especially during the daytime, when other family members go out for work. Thus, monitoring their presence and activities remotely through audio/video communications is a widespread practice. However, this group of elderly people generally suffers from various types of vision impairments. Hence, mere installation of surveillance audio/video systems only will not solve the problem, as they need to interact with the system and hear/watch the audio/video communications for their well-being. In this work, we carry out a subjective test on a sample population of 59 people belonging to different age groups and record their Mean Opinion Scores (MOS). Thereafter, we run the VQM algorithm over the same set of videos and observe that the scores obtained are somewhat different for the elderly people compared to the rest. Therefore, we propose a video quality prediction model based upon the Artificial Neural Networks (ANN) that gives a better prediction for our target age group. For this model, we take into consideration the network level Quality of Service (QoS) parameters only as they have a greater impact on the perceived video quality compared to other QoS factors. ฉ 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.


Keywords

Mean Opinion ScoreQuality of ServiceVQM


Last updated on 2023-25-09 at 07:38