Optimized artificial neural network assisted trade-off between transmission and delay in LTE networks

Shanthi, D.; Arumugam, K.; Swamy, V.M.M.; Farithkhan, A.; Manikandan, R.; Saravanan, D.

doi:10.1016/j.matpr.2021.10.471

Cited by 1 publication

(1 citation statement)

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“…-Ensuring continuous round-the-clock monitoring of broadcasting in analog and digital standards and automated identification of specified information and emergencies -Ensuring control and supervisory activities as part of the data analysis process -Obtaining, collecting, and structuring storage of information to provide the data monitoring process -Providing analytical information on the data flow state, grouped by place, time, and source Artificial neural networks, the most efficient modern tool for intelligent data analysis, are justified enough to solve the above tasks (Lv et al, 2022;Shanthi et al, 2022;Kim et al, 2014). The hardware, software, and algorithmic solutions are constantly being updated and the technical requirements are increasing.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Prospects for Developing Storage and Processing Complexes for Multiformat Media Data

Kuklin¹,

Alexandrov²,

Umyskov³

et al. 2022

Journal of Computer Science

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A distinctive feature of multifunctional systems for supporting multimedia services on a single platform is the heterogeneity of incoming streams and requests, which requires optimization of resource use under physical constraints. In this regard, it is relevant to develop promising proposals for the functional structure and technical characteristics of complexes for storing and processing multi-format media data, which was the purpose of this study. Based on the laws of Moore, Amdahl, and Gustavson-Barsis, it is shown that the increase in the performance of such systems should be achieved not only by increasing the computing power and parallelization but also by optimizing the software used choosing its architecture, adequate technical requirements and optimizing the algorithms used. A list of promising proposals on the functional structure and technical characteristics of complexes for working with heterogeneous data is proposed, and their main modules and characteristics are considered.

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Section: Introductionmentioning

confidence: 99%