Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Trifun Savic"'
Publikováno v:
IEEE Access, Vol 10, Pp 49297-49321 (2022)
Indoor localization techniques have been extensively studied in the last decade. The well-established technologies enable the development of Real-Time Location Systems (RTLS). A good body of publications emerged, with several survey papers that provi
Externí odkaz:
https://doaj.org/article/e39a65a3b4a342cf8eb87c4c6767b60b
Autor:
Trifun Savic, Milutin Radonjic
Publikováno v:
2018 23rd International Scientific-Professional Conference on Information Technology (IT).
In this paper, an architecture of a ZigBee wireless sensor network for application in smart irrigation system is proposed. After a brief overview of the most important features of ZigBee standard related to Wireless Sensor Network (WSN) operation, Ar
Autor:
Trifun Savic, Milutin Radonjic
Publikováno v:
2016 24th Telecommunications Forum (TELFOR).
One possible solution for automated irrigation system is presented in this paper. Proposed solution allows flexible control of the three electromagnetic valves for releasing water to agricultural fields. It provides possibility for users to set up ti
Autor:
Milutin Radonjic, Trifun Savic
Publikováno v:
2015 23rd Telecommunications Forum Telfor (TELFOR).
One possible weather station solution based on the Raspberry Pi platform is described in this paper. Information about current air temperature, air humidity, atmospheric pressure and relative altitude is collected from appropriate sensors. Received d
Publikováno v:
2015 23rd Telecommunications Forum Telfor (TELFOR).
The paper presents a system for collecting, transferring and processing environmental data, implemented within the Centre of Excellence in Bioinformatics (BIO-ICT). Environmental data, collected by three weather stations, are transferred to a remote
Autor:
Radoje Albijanic, Trifun Savic
Publikováno v:
MECO
The application of Compressive sensing approach to the speech and musical signals is considered in this paper. Compressive sensing (CS) is a new approach to the signal sampling that allows signal reconstruction from a small set of randomly acquired s