Optimization of algorithms in relation to ibeacon

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50005238" target="_blank" >RIV/62690094:18450/17:50005238 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Optimization of algorithms in relation to ibeacon

Original language description

The boom of portable electronics and high-speed wireless networks has brought changes throughout society, including development in positioning systems. Indoor localization is more and more important. With modern technology we are able to track people in shopping, system is able to offer them discounts for surrounding goods. The following text deals with the design and description of methods for determination user position based on fingerprint technology. The text focuses on description of algorithms in relation to the iBeacon. Main three algorithms are described in the text. The following text describes implementation of the Knn algorithm. The main goal of this paper is to clearly describe basic positioning algorithms for the readers, introduce implementation of the Knn algorithm and its usage in real environment.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Telecommunication, Electronic and Computer Engineering

ISSN

2180-1843

e-ISSN

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Volume of the periodical

9

Issue of the periodical within the volume

2-5

Country of publishing house

MY - MALAYSIA

Number of pages

5

Pages from-to

47-51

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85032977202