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Erschienen in:
Automated Detection of Central Retinal Vein Occlusion Using Convolutional Neural Network Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Swarm Intelligence Applied to Big Data Analytics for Rescue Operations with RASEN Sensor Networks

verfasst von : U. John Tanik, Yuehua Wang, Serkan Güldal

Erschienen in: Big Data and Visual Analytics

Verlag: Springer International Publishing

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Abstract

Various search methods combined with frontier technology have been utilized to save lives in rescue situations throughout history. Today, new networked technology, cyber-physical system platforms, and algorithms exist which can coordinate rescue operations utilizing swarm intelligence with Rapid Alert Sensor for Enhanced Night Vision (RASEN). We will also introduce biologically inspired algorithms combined with proposed fusion night vision technology that can rapidly converge on a near optimal path between survivors and identify signs of life trapped in rubble. Wireless networking and automated suggested path data analysis is provided to rescue teams utilizing drones as first responders based on the results of swarm intelligence algorithms coordinating drone formations and triage after regional disasters requiring Big Data analytic visualization in real-time. This automated multiple-drone scout approach with dynamic programming ability enables appropriate relief supplies to be deployed intelligently by networked convoys to survivors continuously throughout the night, within critical constraints calculated in advance, such as projected time, cost, and reliability per mission. Rescue operations can scale according to complexity of Big Data characterization based on data volume, velocity, variety, variability, veracity, visualization, and value.

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Vorheriges Kapitel Automated Detection of Central Retinal Vein Occlusion Using Convolutional Neural Network
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Metadaten
Titel
Swarm Intelligence Applied to Big Data Analytics for Rescue Operations with RASEN Sensor Networks
verfasst von
U. John Tanik
Yuehua Wang
Serkan Güldal
Copyright-Jahr
2017
Buch
Big Data and Visual Analytics

Print ISBN: 978-3-319-63915-4

Electronic ISBN: 978-3-319-63917-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-63917-8_2