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Evaluating Data Fusion Methodologies for Redundant Positioning

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Evaluating Data Fusion Methodologies for Redundant Positioning Ahmed Elmesiry
Koda Libristo: 32869728
Založba LAP LAMBERT Academic Publishing, maj 2020
Since the beginning of time, Man, by nature, has sought safety and well being for both himself and h... Celoten opis
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Since the beginning of time, Man, by nature, has sought safety and well being for both himself and his kin. This instinct has obviously led him to develop an inquisitive, questioning disposition. He seeks information about his environs, but his cautious mind also demands reassurance that the data he receives is accurate, timely and not fraudulent or misleading. In striving to make modern pervasive technology systems as useful and as secure as possible, researchers aim to develop systems that can rely on similar guarantees. Ubiquitous computing is growing and emerging as an increasingly significant part of our everyday lives. Context awareness will play a substantial role in achieving this. Location is a major part of context but many factors have contrived to prevent the widespread deployment of location-aware technologies outside of a few niche areas. A Redundant Positioning Architecture will go a long way to combating the drawbacks that currently inhibit pervasive usage and this research endeavour aims to evaluate data fusion techniques which might be applicable for deployment within such a framework.

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O knjigi

Polni naslov Evaluating Data Fusion Methodologies for Redundant Positioning
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2020
Število strani 152
EAN 9786202093866
ISBN 6202093862
Koda Libristo 32869728
Teža 231
Mere 152 x 229 x 9
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