40,662 research outputs found
Post-disaster 4G/5G Network Rehabilitation using Drones: Solving Battery and Backhaul Issues
Drone-based communications is a novel and attractive area of research in
cellular networks. It provides several degrees of freedom in time (available on
demand), space (mobile) and it can be used for multiple purposes (self-healing,
offloading, coverage extension or disaster recovery). This is why the wide
deployment of drone-based communications has the potential to be integrated in
the 5G standard. In this paper, we utilize a grid of drones to provide cellular
coverage to disaster-struck regions where the terrestrial infrastructure is
totally damaged due to earthquake, flood, etc. We propose solutions for the
most challenging issues facing drone networks which are limited battery energy
and limited backhauling. Our proposed solution based mainly on using three
types of drones; tethered backhaul drone (provides high capacity backhauling),
untethered powering drone (provides on the fly battery charging) and untethered
communication drone (provides cellular connectivity). Hence, an optimization
problem is formulated to minimize the energy consumption of drones in addition
to determining the placement of these drones and guaranteeing a minimum rate
for the users. The simulation results show that we can provide unlimited
cellular service to the disaster-affected region under certain conditions with
a guaranteed minimum rate for each user.Comment: 2018 IEEE Global Communications Conference: Workshops: 9th
International Workshop on Wireless Networking and Control for Unmanned
Autonomous Vehicle
Terminology Extraction for and from Communications in Multi-disciplinary Domains
Terminology extraction generally refers to methods and systems for identifying term candidates in a uni-disciplinary and uni-lingual
environment such as engineering, medical, physical and geological sciences, or administration, business and leisure. However, as
human enterprises get more and more complex, it has become increasingly important for teams in one discipline to collaborate with
others from not only a non-cognate discipline but also speaking a different language. Disaster mitigation and recovery, and conflict
resolution are amongst the areas where there is a requirement to use standardised multilingual terminology for communication. This
paper presents a feasibility study conducted to build terminology (and ontology) in the domain of disaster management and is part of the
broader work conducted for the EU project Sland \ub4 ail (FP7 607691). We have evaluated CiCui (for Chinese name \ub4 \u8bcd\u8403, which translates to
words gathered), a corpus-based text analytic system that combine frequency, collocation and linguistic analyses to extract candidates
terminologies from corpora comprised of domain texts from diverse sources. CiCui was assessed against four terminology extraction
systems and the initial results show that it has an above average precision in extracting terms
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