Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Sign In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Institutions & Repositories
  • Query NERD by:
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Sign In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Adelakun AO"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Comparative study on Radio Refractivity Gradient in the troposphere using Chaotic Quantifiers
    (2019) Ojo JS; Adelakun AO; Edward OV
    Complexity and nonlinear trend in the internal activities of the troposphere has been a great factor affecting the transmission and receiving of good quality of signals globally. In lieu of this, prediction of chaos and positive refractivity gradients for line-of-sight microwave radio paths is necessary for designing radio systems. Complexity in the troposphere due to changes in meteorological parameters can lead to the strong negative gradient (or super-refraction) which afterward lead to interference between terrestrial links and satellite earth stations. In this paper, a comparative study on the degree of complexity of Radio Refractivity Gradient (RRG) using Chaotic Quantifiers (CQ) such as Phase Plot Reconstruction (PPR), Average Mutual Information (AMI), False Nearest Neighbor (FNN), Lyapunov Exponent (LE), Tsallis Entropy (TS) and Recurrence Plot (RP) are discussed extensively. The RRG data (2011-2012) used in this work were obtained for 0 m to 100 m, from the archives of Tropospheric Data Acquisition Network (TRODAN) from five different stations namely; Akure (Geo. 7.299∘N,5.147∘E), Enugu (Geo. 6.46∘N,7.55∘E), Jos (Geo. 9.90∘N,8.86∘E), Minna (Geo. 9.58∘N,6.55∘E) and Sokoto (Geo. 13.01∘N,5.25∘E). The chaotic quantifiers are used to investigate the degree of complexity in the 30 minutes interval atmospheric data from the selected locations which is specified into rainy, dry and transition season months. The parallel and short diagonal lines observed depicts the evidence of chaos. However, the observed result shows that the RRG is higher during the rainy season than the dry season. In other words, the information is valid for the proposed data analysis, since the LE is actually directly proportional to the TE. Also, the results further show that the rainy season months exhibit higher chaoticity than the dry season months, which is equivalent to high radio refractivity gradient observed across the selected stations.
THE NERD SYSTEM

Nigeria Education Repository and Databank (NERD) is the official unified digital platform and a one-stop-shop for the national management, administration, and preservation of education data, records, documents and audio-visual assets as a national reference point for education data consistency - supporting the education sector and library services.

QUICK MENU
  • About NERD
  • Contact and Support
  • Other NERD Services
  • Internal/External Examiner Sign up
  • Student/Lecturer's Sign up
  • Regulatory Agencies
ONGOING ACTION
  • Register Your Institution
  • Training
  • Donate Manuscript
  • Donate Parents' Works
  • Investors
  • Annual Prize and Award
  • Thesis & Dissertation
  • Annual Competition
  • Lecturers' Scholarly Article Prizes
  • Essay Prizes
DIGITAL BANK TOOLS
  • Plagiarism Check
  • NCMVS
  • Publish on NERD
  • Peer Review Publications
  • Futile Hypothesis
  • NERD Receipt
  • InfoGraphics

NERD System Copyright © Federal Ministry of Education.

  • Cookie settings  | 
  • Terms and Conditions  |  
  • End Users Agreement  | 
  • Privacy Policy