Conference Papers by Nenad Petrović
XVI International SAUM Conference, 2022
Machine learning has been recognized as key-enablers of numerous usage scenarios and novel use ca... more Machine learning has been recognized as key-enablers of numerous usage scenarios and novel use cases within modern information systems, extracting patterns and making predictions which can be further leveraged. In this paper, we focus on implementation of machine learning services in scope of third bachelor degree course Information Systems on Faculty of Electronic Engineering, University of Niš, Serbia. As outcome, case studies related to monkeypox disease datasets are presented, making use of Weka API within Java Enterprise Edition (JEE) web-based application for two examples: regressionrecovery duration and classificationpatient death risk prediction.
IEEESTEC – 15th Student Projects Conference, 2022
Mašinsko učenje je prepoznato kao jedan od krucijalnih faktora koji omogućava mnoge inovativne sc... more Mašinsko učenje je prepoznato kao jedan od krucijalnih faktora koji omogućava mnoge inovativne scenarije upotrebe i servise u okviru modernih informacionih sistema, analizom velike količine podatake i vršenjem predikcija vezanih za raznolike relevante aspekte. U ovom radu, fokus je na implementaciji servisa mašinskog učenja u okviru kursa na trećoj godini smera Informatike i računarstvo Elektronskog fakulteta u Nišu. Kao ishod, prikazana je implementacija dve studije slučaja: 1) klasifikacija-detekcija odlazećih korisnika mobilnog operatera 2) regresija-predikcija potrošnje električne energije. Što se tehnologije tiče, koristi se Weka API za nadgledano mašinsko učenje u okviru Java Enterprise Edition (JEE) aplikacije.
ENTerprise REsearch InNOVAtion Conference - ENTRENOVA 2022, 2022
This paper aims to provide a systemic vision on the role and specifics of a Covid-19 contact-trac... more This paper aims to provide a systemic vision on the role and specifics of a Covid-19 contact-tracing mobile application, which can be presented as a data-driven mobile application for citizens in urban data management processes and is essential for a sustainable urban ecosystem to inform the user about contact with a potentially infected person. The study aims to reveal the behaviour of adults when using such an application. We also attempt to discover how the Covid 19 pandemic has changed communication and why users use mobile phones and their features, such as Bluetooth and GPS. The research focused on Slovenia and was conducted during the Covid-19 pandemic in April 2021. Five hundred adults were surveyed. The mixedmethod survey investigates the determinants of adult citizens' behaviour in the Republic of Slovenia concerning the #Ostanizdrav application from three perspectives (installed app, activated app, app used to report infection). In addition, the study examines the barriers and levers to using a contact tracking application to combat the pandemic in Slovenia.
IcETRAN 2022, 2022
In this paper, exercises related to modelling and implementation of pandemic-tackling systems are... more In this paper, exercises related to modelling and implementation of pandemic-tackling systems are proposed as integral part of computer science university courses. The presented case study considers the perspective of two bachelor degree courses taught at the third year of Computer Science and Informatics track at University of Niš, Faculty of Electronic Engineering in Serbia covering both hardware and software design: Microcomputer Systems and Information Systems. For the first course, an indoor safety system based on Intel 8086 and additional components (8251, 8255 and 8259) is presented. On the other side, the main topic of the second one is Java Enterprise Edition (JEE)-based information system development, while the presented example shows application providing efficient pandemic-related data management (coronavirus tests and vaccination).
9th Small Systems Simulation Symposium 2022, 2022
Vaccination is recognized as one of crucial measures in battle against COVID-19, contributing to ... more Vaccination is recognized as one of crucial measures in battle against COVID-19, contributing to both the reduction of its negative impact on infected person and overall spread reduction. In this paper, we focus on adoption of modeldriven approach to proactive and cost-effective vaccine distribution, relying on deep-learning (for vaccine-demand predictions) and multi-objective optimization (for solving the allocation problem). As outcome, software simulation tool for efficient vaccination planning, relying on the proposed approach is presented, showing promising results. Furthermore, the adoption of model-driven approach reduces both the learning curve and time necessary for experimentation.
9th Small Systems Simulation Symposium (SSSS), 2022
Coronavirus pandemic has brought unexpected challenges not only to medical personnel, but enginee... more Coronavirus pandemic has brought unexpected challenges not only to medical personnel, but engineers as well. Information technology and digital devices are recognized among key-enablers for realization of systems aiming the reduction of COVID-19 disease spread. In this paper, it is explored how electronics and computer engineering education can be enriched with exercises relevant to the current pandemic. As case study, Logic Design (accreditation 2019.) course exercises in VHDL at the second year of undergraduate Computer Science and Informatics track within Faculty of Electronic Engineering, University of Nis are considered. Two illustrative examples are presented, covering the aspects of modelling and simulation from two different perspectives: combinational logic and finite state machine implementation.
eNergetics 2021, 2021
Stability is of utmost importance when it comes to smart grid infrastructures. Dramatic parameter... more Stability is of utmost importance when it comes to smart grid infrastructures. Dramatic parameter variations and fluctuations can lead to wrong decisions, which could lead to fatal consequences. In this paper, we propose a model-driven methodology for highly automated machine learning approach to smart grid stability prediction. Stability prediction is treated as binary classification problem and implemented relying on Neo4j graph database's Graph Data Science Library (GDS). The proposed framework is evaluated on open, publicly available dataset. According to the achieved results, the predictive model shows better performance in terms of accuracy and execution time compared to other solutions based on deep learning. On the other side, the adoption of model-driven approach is beneficial when it comes to reusability and convenient experimentation compared to manual, non-automated design.
Economics and Business (ISSN: 1987-5789), 2022
Racha, one of Georgia's beautiful region, faces many challenges. Due to the existing challenges (... more Racha, one of Georgia's beautiful region, faces many challenges. Due to the existing challenges (population structure, size, and ageing) in our opinion, tourism can be considered as a vital industry that can enhance the speedy recovery of the local economy. As a destination inhabited since the Stone Age, Racha may again become an interesting place of discoveries. Due to the region's potential, many types of tourism can be developed in Racha: ethnographic, archaeological, speleological, health-recreational, religious, rural, wine, gastronomic, adventure, and others. It should be noted that the feedback from the respondents and the SWOT analysis of tourism development in the Racha region are fully consistent with each other. Therefore, the paper examines and presents a cluster analysis of tourism based on a systemic vision of the field. In the article, we also wish to highlight the opportunities for rural tourism development that the EU also offers to the pre-accession countries. As a good practice of project examples, we present the cases from Croatia and Slovenia, where several renovations and reconstructions of local farms were financed, turning them into tourist farms that acquired tourist apartments, swimming pools and barbecue areas. The projects also supported activities on the farms, such as the organization of unique horseback riding in nature and programs such as archery, tasting of wine, cheese, prosciutto and other gastronomic delicacies of the region, picking olives, grapes, asparagus. Recently, projects have focused on digital transformation in the field of tourist services in rural areas. Finally, we mention the importance of the karstic world in the context of the protection of the natural environment and its importance for the development of tourism. For this purpose, we have presented the projects of Slovenian karst caves and pointed out the importance of postgraduate education in karstology, which is carried out in Slovenia.
Covid 19 Pandemic and Economics, 2022
The economic ecosystem has become highly volatile in the last decade. It is the subject of disrup... more The economic ecosystem has become highly volatile in the last decade. It is the subject of disruptive crises. Among the numerous strategic variables and vectors that determine the social-economic situation at the global and local levels, two processes stand out today: digitalisation and the pandemic, with their temporal and spatial coincidence having a converging meaning and importance. The theoretical study presents the organisational challenges and possible responses to them in adapting enterprises to the challenges of the post-Covid-19 world.
XV International SAUM Conference, 2021
The ongoing coronavirus pandemic has huge impact on almost every industry sector. However, its co... more The ongoing coronavirus pandemic has huge impact on almost every industry sector. However, its consequences caused disastrous losses when it comes to tourism. Strict government measures, such as lockdown, public gathering and travel prohibition, together with temporary closure of hospitality objects have not only reduce the number of tourists dramatically, but also led to huge number of jobs lost in tourism and hospitality. In this paper, we examine how the commonly used data mining techniques can contribute to revival of tourism industry under current circumstances. As outcome, the implementation of four case studies using RapidMiner tool is presented: 1) reservation cancellation detection based on classification 2) tourist number prediction with respect to number of COVID-19 cases leveraging regression 3) Cross-selling of additional services relying on association rule mining 4) segmentation of tourists regarding their spending and services using clustering.
VI International Scientific Conference "Challenges of Globalization in Economics and Business", 2021
The study discusses the development and importance of information and communication technologies ... more The study discusses the development and importance of information and communication technologies and processes of digitalisation or digital transformation in tourism and hospitality. The purpose of this chapter is to explain the difference between the concepts of e-tourism and smart tourism and in the following to show the importance of digitalisation for the further development of destinations and their transition to a smart destination.
International Scientific and Practical Internet Conference "ORGANIZATION’S STRATEGY VS REALITIES OF THE VUCA-WORLD", 2021
The paper aims to present the latest finding of the role of innovation and digital transformation... more The paper aims to present the latest finding of the role of innovation and digital transformation of organisations in the VUCA world and the planned strategies that will enable companies to survive in a volatile, uncertain, complex and ambiguous business environment. We used a comparative automated content analysis approach for the presenting findings of the recent scientific works.
DIGITOMICS , 2021
The Covid 19 pandemic has hit the tourism industry hard. The consequences are visible in both the... more The Covid 19 pandemic has hit the tourism industry hard. The consequences are visible in both the social and economic spheres. The tourism industry needs to realign all existing practices and implement more sustainable tourism practices in the post-pandemic period, but technology will also play an important role. To determine the importance and impact of modern technological solutions on the development of smart tourist destinations in the post-pandemic era, the authors used the Leximancer 5.0 tool to analyse 32 scientific articles and prepare examples of good implementation of augmented reality apps. The pandemic brought new technological solutions in tourism hospitality such as robotics and artistic intelligence and accelerated implementation in Big Data analytics tools, the Internet of Things, cloud computing, virtual and augmented reality, and mobile data applications. In summary, the pandemic stimulated both the growth of human interactions with technology and the promotion of reflection on the very complexity of interactions. In tourism emerged the paradigm of attentive tourists who could self-reflectively interact with technology to get the technology touristic experience.
15th International Online Conference on Applied Electromagnetics - ПЕС 2021, 2021
The ongoing COVID-19 pandemic has affected almost any industry sector since the beginning of last... more The ongoing COVID-19 pandemic has affected almost any industry sector since the beginning of last year. However, tourism and hospitality are among the most endangered, as strict travel restrictions caused enormous losses. In this paper, we examine how the adoption of state-of-the-art smart technologies can help tourism recovery under current circumstances. Case studies are considered regarding different technologies: 1) augmented reality (AR)gamified sightseeing 2) deep learningvisitor number prediction 3) IoT/blockchainvaccination records.
IEEESTEC – 13th Student Projects Conference, 2020
In this paper, it is discussed how the recent COVID-19 pandemic has influenced the laboratory ses... more In this paper, it is discussed how the recent COVID-19 pandemic has influenced the laboratory sessions of third year Computer Science bachelor degree's Microcomputer Systems course at the Faculty of Electronic Engineering, University of Niš, Serbia. As a repsonse to the new circumstances, microcontroller simulation software withinn Proteus Design Suite was adopted instead of physical PIC-based development boards in order to enable remote exercise sessions. Accordingly, the exam exercises themselves were adapted to give the idea how the knowledge obtained during this course can be leveraged to tackle the current pandemic crisis. As case a study, COVID-19 indoor safety system implementation in Proteus environment based on PIC16 microcontrollers is given.
YuInfo 2021, 2021
In this paper, the adoption of COVID-19 safety solution design within computer science bachelor d... more In this paper, the adoption of COVID-19 safety solution design within computer science bachelor degree exercises will be presented, from the perspective of two courses held at the Faculty of Electronic Engineering, University of Niš in Serbia: Logic Design and Microcomputer Systems. Apart from adoption of tools enabling online laboratory sessions of these courses, another reason of this method is to increase the awareness and motivation of computer science students regarding their contribution to global battle against coronavirus.
Proceeding of the 30th Web Conference, 2021
This paper aims to give a systemic vision about data-driven mobile applications in urban data man... more This paper aims to give a systemic vision about data-driven mobile applications in urban data management processes, which is essential to ensure a sustainable smart city ecosystem for providing diversification between stakeholders and data sources. The realization of sustainable data-driven smart solutions based on an urban data platform that will enable citizen wellbeing in the smart city is needed to develop data-driven applications. In this paper, we present five case study mobile applications developed using AppSheet and Google Apps Script technologies to prevent the spread of COVID-19 and provide support to (potentially) infected citizens. Several aspects relevant to the coronavirus pandemic are considered: quick COVID-19 patient assessment based on user-provided symptoms integrated with contact tracing; volunteer help during quarantine; UAV-based COVID-19 outdoor safety surveillance; test scheduling and an AR-based pharmacy shop assistant.
Papers by Nenad Petrović
Ultramarathon Result and Injury Prediction using PyTorch
2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), 2021
In this paper, it is explored how the data about trainings, competitions and weather can be lever... more In this paper, it is explored how the data about trainings, competitions and weather can be leveraged for result and injury prediction in competitive running disciplines. As outcome, two prediction models based on multilayer neural networks are implemented using PyTorch framework for Python programming language and evaluated on dataset containing realistic data of ultramarathon runner. The first model treats problem as regression to predict the number of kilometers run for given ultramarathon duration, while another one determines whether injury will occur for given running distance or no using classification approach. According to our results, both models show satisfiable performance (up to 2% relative error for regression, 70% correct for classification), while the first one performs better, which can be explained by lack of enough injury records in the second case. Moreover, a companion mobile app developed using AppSheet and Google Apps Script for automated dataset construction is introduced.
Level Crossing Rate of Next Generation Wireless Systems with Selection Combining in the Presence of k-µ Fading and Interference: Derivation and Simulation
2021 16th International Conference on Telecommunications (ConTEL), 2021
In this article, level crossing rate (LCR) of new generation wireless communication system with s... more In this article, level crossing rate (LCR) of new generation wireless communication system with selection combining (SC) receiver, with an arbitrary number of branches, will be evaluated. The received signal suffers from short-term fading and co-channel interference (CCI), where both are κ-μ distributed. SC receiver is used to reduce fading influence to the system performance. For described interference, LCR of the signal to interference ratio (SIR) at the output of SC receiver will be derived. From obtained expression for LCR, average fade duration (AFD) of the proposed telecommunication system can be calculated. The impact of fading parameters on the LCR will be analyzed. Thereafter, the Graphics Processing Unit (GPU) accelerated simulation and linear optimization for planning an optimal 5G mobile network within a smart city will be implemented. This program provides significantly faster calculation of system performance, such as LCR, for the wireless channels under the influence of such defined obstructions.
Facta universitatis - series: Electronics and Energetics, 2021
In this paper we have analyzed macro-diversity (MD) system with one macro SC diversity (MD SC) re... more In this paper we have analyzed macro-diversity (MD) system with one macro SC diversity (MD SC) receiver and two micro MRC (mD MRC) receivers over correlated Gamma-shadowed k-? fading channel. The average bit error probability (ABEP) is calculated using the moment generating function (MGF) approach for BDPSK and BPSK modulations. Graphical representation of the results illustrates the effects of different parameters of the system on its performance as well as the improvements due to the benefits of a combined micro and macro diversity. The obtained analytical expressions are used for the GPU-enabled mobile network modeling, planning and simulation environment to determine the value of Quality of Service (QoS) parameter. Finally, linear optimization is proposed as an approach to improve the QoS parameter of the fading-affected system observed in this paper.
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Conference Papers by Nenad Petrović
Papers by Nenad Petrović