Прегледај по Аутор "Jotanovic, Gordana"

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    A Model for Working Environment Monitoring in Smart Manufacturing
    (MDPI, 2021) Dobrilovic, Dalibor; Brtka, Vladimir; Stojanov, Zeljko; Jotanovic, Gordana; Perakovic, Dragan; Jausevac, Goran
    The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.
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    A Model of UAV-BasedWaste Monitoring System for Urban Areas
    (Springer, 2022) Dobrilovic, Dalibor; Jotanovic, Gordana; Stjepanovic, Aleksandar; Jausevac, Goran; Perakovic, Dragan
    This paper presents an approach in using unmanned aerial vehicles (UAVs) with remote imaging for urban waste monitoring. The system is designed to monitor green areas, public trash cans, and unregulated landfills and to detect possible violations of garbage disposal rules. Public green urban areas, such as parks, green surfaces, sport terrains, and bathing areas, are gathering places for people and therefore prone to unregulated waste disposal. The proposed solution describes the real-time monitoring of the area using drones and the detection of irregularities in a garbage disposal. The cameras mounted on drones are used to take images of public targeted areas at pre-mapped points. Visual data collected by supervisor drones are used for further processing and notification of authorized personnel and institutions.
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    Modeling a LoRAWAN Network for Vehicle WildlifeCollision Avoidance System on Rural Roads
    (Springer, 2024) Jotanovic, Gordana; Jausevac, Goran; Perakovic, Dragan; Dobrilovic, Dalibor; Stojanov, Zeljko; Brtka, Vladimir
    The network of rural roads covers different types of terrain, including forest areas, pastures, arable land andsparsely populated areas. The safety of people and animals is a priority in traffi c on these roads. Early detectionof pedestrians, animals and other moving objects along the road can signifi cantly reduce the risk of accidents.As part of this research, a sensor system is being developed that can detect characteristics of living things inmotion, such as unexpectedly crossing the road without clear signs. Such timely detection of moving objectsenables adequate preventive measures and reduces potential traffi c accidents. The consequences of traffi caccidents of this type can cause serious damage to animals and people property, and road infrastructure. Thetopicality of this problem at the spatial and seasonal level is emphasized in studies that identify the hotspots ofthese accidents. Factors such as traffi c characteristics and road infrastructure are key to modeling protectivesystems on rural roads. The presented study investigates the deployment of sensor nodes and LoRAWANgateways for wildlife detection on rural roads, with the aim of reducing the risk of traffi c accidents caused byWildlife-Vehicle Collisions.
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    Software architectures in smart manufacturing: Review and experiences
    (2021) Stojanov, Zeljko; Dobrilovic, Dalibor; Jotanovic, Gordana; Perakovic, Dragan; Jausevac, Goran; Brtka, Vladimir
    Cyber-physical systems based on heterogeneous and distributed devices, applications and services are the core of smart factories. Smart manufacturing systems are highly dependent on software applications and services that enable integration of data from different and heterogeneous sources, as well as support for control and management processes. Development and implementation of specific architecture styles and patterns in smart industrial settings is essential for their performance. Several software architecture styles used in Industry 4.0 environments are discussed and illustrated with examples from literature. Our experience with a prototype of a smart sensor-based layered architecture is presented and discussed. Further work will be directed towards development of service oriented architectures and reengineering method for old fashioned industrial settings.