Realizing Future Intelligent Networks via Spatial and Multi-Temporal Data Acquisition in Disdrometer Networks

Periola, A. A.; Ogudo, Kingsley A.; Alonge, Akintunde

doi:10.1109/icabcd49160.2020.9183847

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…In addition, students are conveyed from the terrestrial plane to the HVCE's viewing chambers via an autonomous mini-HAP vehicle. The concerned sojourn is autonomously conducted and does not involve the Students and researchers learn about radio science and systems from rain-related data and the use of specialized equipment such as the rain disdrometer [61][62][63] Students and researchers observe rainfall effects on networks at the level of the stratosphere directly. New knowledge can be obtained by hosting a disdrometer aboard HVCEs…”

Section: Hvce?mentioning

confidence: 99%

Stratospheric platform applications: reduced cognitive load for multimedia and education

Periola

2024

Wireless Netw

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The proliferation of computing solutions in future communication networks leads to the occurrence of cognitive visual overstimulation (CVO). CVO occurrence arises in multimedia content editing and provisioning of Science, Technology, Engineering, and Mathematics (STEM) education. The presented research proposes a high-altitude platform-based architecture that enable multimedia content editing related to space themes, and insertion in the edge of space i.e., the stratosphere (space horizon) environment. The use of the proposed architecture in content editing and STEM education contexts reduces the CVO by an average of (22–84.1) % and (13.6–31.7) %, respectively. Investigations show that the proposed architecture reduces the latency by an average of 30.3%, and 49.4% considering individual, and multiple content access, respectively. The use of the proposed architecture also reduces the power consumption associated with multimedia content editing by (8.05–42.9) % on average.

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Section: Hvce?mentioning

confidence: 99%

Stratospheric platform applications: reduced cognitive load for multimedia and education

Periola

2024

Wireless Netw

View full text Add to dashboard Cite

show abstract

Realizing Future Intelligent Networks via Spatial and Multi-Temporal Data Acquisition in Disdrometer Networks

Cited by 1 publication

References 16 publications

Stratospheric platform applications: reduced cognitive load for multimedia and education

Stratospheric platform applications: reduced cognitive load for multimedia and education

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