Intelligent decision system for measured dust distributions impairing satellite communications

Omair Butt; Kamal Harb; Samir Abdul-Jauwad

doi:10.1109/CIVEMSA.2014.6841447

Intelligent decision system for measured dust distributions impairing satellite communications

Omair Butt
, Kamal Harb
, Samir Abdul-Jauwad

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Dust and sand storms are regarded as a complex meteorological phenomenon due to high degree of uncorrelated features. Dust particles size distribution, their dielectric constants, visibility level during dusty weather and probable dust storm height are namely a few significant parameters required in modeling the dust storms mathematically. An optimal solution to such weather induced impairments depends on the level of precision in the estimation of aforementioned parameters. This paper presents the experimental dust and sand particles size distribution for Saudi Arabia based on Sieve and Hydrometer tests. Dust storms layered model has been applied to the measured data to compute dust attenuation. Finally, an intelligent decision system has been developed to effectively cater the weather induced signal degradations while maintaining the promised quality of service (QoS) for earth-satellite links. SNR simulation results for measured data before and after incorporating our proposed system depict significant overall improvements.

Original language	English
Title of host publication	CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings
Publisher	IEEE Computer Society
Pages	106-111
Number of pages	6
ISBN (Print)	9781479926138
DOIs	https://doi.org/10.1109/CIVEMSA.2014.6841447
State	Published - 2014

Publication series

Name	CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings

Keywords

Dust and sand storms
intelligent decision system
quality of service
satellite networks
signal to noise ratio

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications

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10.1109/CIVEMSA.2014.6841447

Cite this

Butt, O., Harb, K., & Abdul-Jauwad, S. (2014). Intelligent decision system for measured dust distributions impairing satellite communications. In CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings (pp. 106-111). Article 6841447 (CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings). IEEE Computer Society. https://doi.org/10.1109/CIVEMSA.2014.6841447

Butt, Omair ; Harb, Kamal ; Abdul-Jauwad, Samir. / Intelligent decision system for measured dust distributions impairing satellite communications. CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings. IEEE Computer Society, 2014. pp. 106-111 (CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings).

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abstract = "Dust and sand storms are regarded as a complex meteorological phenomenon due to high degree of uncorrelated features. Dust particles size distribution, their dielectric constants, visibility level during dusty weather and probable dust storm height are namely a few significant parameters required in modeling the dust storms mathematically. An optimal solution to such weather induced impairments depends on the level of precision in the estimation of aforementioned parameters. This paper presents the experimental dust and sand particles size distribution for Saudi Arabia based on Sieve and Hydrometer tests. Dust storms layered model has been applied to the measured data to compute dust attenuation. Finally, an intelligent decision system has been developed to effectively cater the weather induced signal degradations while maintaining the promised quality of service (QoS) for earth-satellite links. SNR simulation results for measured data before and after incorporating our proposed system depict significant overall improvements.",

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series = "CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings",

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Butt, O, Harb, K & Abdul-Jauwad, S 2014, Intelligent decision system for measured dust distributions impairing satellite communications. in CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings., 6841447, CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings, IEEE Computer Society, pp. 106-111. https://doi.org/10.1109/CIVEMSA.2014.6841447

Intelligent decision system for measured dust distributions impairing satellite communications. / Butt, Omair; Harb, Kamal; Abdul-Jauwad, Samir.
CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings. IEEE Computer Society, 2014. p. 106-111 6841447 (CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Harb, Kamal

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AB - Dust and sand storms are regarded as a complex meteorological phenomenon due to high degree of uncorrelated features. Dust particles size distribution, their dielectric constants, visibility level during dusty weather and probable dust storm height are namely a few significant parameters required in modeling the dust storms mathematically. An optimal solution to such weather induced impairments depends on the level of precision in the estimation of aforementioned parameters. This paper presents the experimental dust and sand particles size distribution for Saudi Arabia based on Sieve and Hydrometer tests. Dust storms layered model has been applied to the measured data to compute dust attenuation. Finally, an intelligent decision system has been developed to effectively cater the weather induced signal degradations while maintaining the promised quality of service (QoS) for earth-satellite links. SNR simulation results for measured data before and after incorporating our proposed system depict significant overall improvements.

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Butt O, Harb K, Abdul-Jauwad S. Intelligent decision system for measured dust distributions impairing satellite communications. In CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings. IEEE Computer Society. 2014. p. 106-111. 6841447. (CIVEMSA 2014 - 2014 IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings). doi: 10.1109/CIVEMSA.2014.6841447

Intelligent decision system for measured dust distributions impairing satellite communications

Abstract

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