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Title:
Uporaba podatkov iz nosljivih naprav za optimizacijo izvedbe opravil : zaključno delo
Authors:
ID
Sanković, Mitja
(Author)
ID
Zorman, Milan
(Mentor)
More about this mentor...
Files:
VS_Sankovic_Mitja_2019.pdf
(1,62 MB)
MD5: E6168FEA7686157CA3170DEB65C8CBBF
PID:
20.500.12556/dkum/7136e994-0cf2-4565-ba18-3283da4b521a
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
In the thesis, we showed the development of a mobile application for mobile devices that use the Android operating system. We explained the shortest route problem explained some of the various implementations and their differences. We presented the use of the GPS module for retrieving the users location and its implementation in the shortest route algorithm of choice. The application also demonstrates the communication between the device and a server for registering users and saving of the created tasks. For the implementation of the application we used Java for Android while the server side was implemented using the Django Framework which is written in Python.
Keywords:
Android
,
genetski algoritem
,
mobilne naprave
,
opravila
,
najkrajša pot
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[M. Sanković]
Year of publishing:
2019
Number of pages:
VIII, 48 str.
PID:
20.500.12556/DKUM-73862
UDC:
004.94:004.312.22(043.2)
COBISS.SI-ID:
22592790
NUK URN:
URN:SI:UM:DK:HRB89MCN
Publication date in DKUM:
20.08.2019
Views:
1190
Downloads:
120
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:
http://creativecommons.org/licenses/by-nc/4.0/
Description:
A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:
22.06.2019
Secondary language
Language:
English
Title:
Using data from wearable devices for optimizing execution of tasks
Abstract:
In the thesis, we showed the development of a mobile application for mobile devices that use the Android operating system. We explained the shortest route problem explained some of the various implementations and their differences. We presented the use of the GPS module for retrieving the users location and its implementation in the shortest route algorithm of choice. The application also demonstrates the communication between the device and a server for registering users and saving of the created tasks. For the implementation of the application we used Java for Android while the server side was implemented using the Django Framework which is written in Python.
Keywords:
Android
,
genetic algorithm
,
mobile devices
,
tasks
,
shortest route
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