Ivan Jovovic

Mr. Ivan Jovovic

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2019 in Telecommunications Policy
Verified
Journal Article
Open access
IFIvan Forenbacher
Ivan Forenbacher
SHSiniša Husnjak
Siniša Husnjak
Ivan CviticIvan Cvitic
Ivan Cvitic
IJIvan Jovovic
Ivan Jovovic

28 March 2019 in EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
Verified
Journal Article
Open access
PDF file
IJIvan Jovovic
Ivan Jovovic
SHSiniša Husnjak
Siniša Husnjak
IFIvan Forenbacher
Ivan Forenbacher
SMSven Maček
Sven Maček
The Industry 4.0 is experiencing significant challenges, including the need for an increased amount of data transmission with improved security, transparency and credibility. The 5th Generation Mobile Network (5G) and Blockchain are innovative emerging technologies that can respond to these needs. 5G will enable extremely large channel capacities and reduce data latency, while Blockchain's innovative data-sharing mode of operation delivers an improved high level of security, transparency, and credibility of stored data. Therefore, this paper presents a general survey of the potential application of 5G network and Blockchain technology in Industry 4.0. The results may be used by first-movers firms for gaining technological leadership on the market.

1 January 2014 in Procedia Engineering
Verified
Journal Article
Open access
SHSiniša Husnjak
Siniša Husnjak
Dragan PerakovicDragan Perakovic
Dragan Perakovic
IJIvan Jovovic
Ivan Jovovic
The ability to recognize human speech has always been an area of interest of people primarily because of the large range of applications in almost every segment of society. The development of science and technology made visible improvements in the capabilities and the quality of recognition of the human voice/speech using some kind of terminal devices. Speech recognition enables devices to adapt voice information in understandable form, which means complete identification and understanding of information. The primary purpose of recognizing of human speech is the ability to customize information (which are intended to people) for using with devices. The aim of voice recognition systems is to provide links and ease of communication between the device and the man and the development of further possible applications. Given the current trends in the use of smart terminal devices and technical and technological opportunities that they offer, it is inevitable to study the potential of these devices in the area of human voice recognition. The purpose of the paper is to show the possibilities of human voice recognition using smart terminal devices. Furthermore, all of this will be analyzed primarily in the transport(car) environment with emphasis on the potential advantages and disadvantages of such tools and principles

20 November 2015 in Proceedings in Research Conference in Technical Disciplines
Verified
Conference Paper
Closed access
PDF file
IJIvan Jovovic
Ivan Jovovic
IFIvan Forenbacher
Ivan Forenbacher
Marko PerisaMarko Perisa
Marko Perisa
Online archive, where are available all published articles at the scientific conference.

1 January 2018
Verified
Conference Paper
Closed access
IJIvan Jovovic
Ivan Jovovic
SHSiniša Husnjak
Siniša Husnjak
IFIvan Forenbacher
Ivan Forenbacher
SMSven Maček
Sven Maček

8 April 2021 in Sensors
Verified
Journal Article
Open access
PDF file
IFIvan Forenbacher
Ivan Forenbacher
SHSiniša Husnjak
Siniša Husnjak
IJIvan Jovovic
Ivan Jovovic
MBMislav Bobić
Mislav Bobić
Wireless networks, including IEEE 802.11-based or Wi-Fi networks, are inexpensive and easy to install and therefore serve as useful connectivity alternatives in areas lacking wired-network infrastructure. However, IEEE 802.11 networks may not always provide the seamless connectivity and minimal throughput required for Industry 4.0 communications because of their susceptibility to interference from other devices operating in the unlicensed “Industrial, Scientific, and Medical” frequency band. Here we analyzed how a wireless audio transmitter operating on this band influences the throughput of an IEEE 802.11 b/g/n network under laboratory conditions. Wireless audio transmission reduced mean throughput by 85%, rendering the IEEE 802.11 b/g/n network nearly unusable. Our analysis suggests that in order for IEEE 802.11 wireless networks to support Industrial 4.0 applications, attention should be paid to the physical layer as well as the data or upper layers, and critical services should not transmit on the 2.4 GHz band. These findings may contribute to understanding and managing IEEE 802.11 wireless networks in various Industry 4.0 contexts.