Dejan Viduka

Journal of Business Economics and Management

Multi-criteria decision analysis of e-commerce software selection using AHP-NWA hybrid model

Rakić Rade; Gligorijević Milan; Viduka Dejan; Gligorijević Nikola; Strugarević Danilo

https://journals.vilniustech.lt/index.php/JBEM/article/view/25406

In the digital economy, selecting the right e-commerce platform is a strategic decision with significant implications for efficiency and competitiveness. This paper applies a hybrid decision-making framework that integrates the Analytic Hierarchy Process (AHP) and Net Worth Analysis (NWA) to evaluate five popular e-commerce platforms: Magento, WooCommerce, Shopify, PrestaShop, and OpenCart. AHP was used to derive weights for evaluation criteria, while NWA incorporated expert assessments of alternatives. Results indicate that security (32%) and functionality (25%) are the most critical factors, followed by maintenance costs (14%) and scalability (11%). The ranking shows Magento as the leading platform (0.575), excelling in security and functionality, while WooCommerce (0.567) is highly flexible and Shopify (0.563) stable though less customizable. PrestaShop (0.505) and OpenCart (0.496) scored lower, making them suitable for smaller businesses. The contribution of this study lies in the integration of AHP-derived weights into the NWA framework under a dual expert panel structure, ensuring methodological independence and reducing bias. This hybrid approach offers both practical implications for digital business strategy and theoretical insights into combining hierarchical and network-based MCDM methods, thereby addressing a research gap in e-commerce software evaluation.

e-commerce, multi-criteria decision-making, AHP, NWA, software platforms, Magento, WooCommerce, Shopify

M 21

STUDIES IN INFORMATICS AND CONTROL

A Hybrid MCDM Framework for Selecting Optimal AI Algorithms in Real-Time Infrared Signal Detection Systems

Gligorijevic, Nikola; Viduka, Dejan ; Popovic, Stefan ; Strugarevic, Danilo; Čabrić, Vladimir

https://sic.ici.ro/current-issue/a-hybrid-mcdm-framework-for-selecting-optimal-ai-algorithms-in-real-time-infrared-signal-detection-systems/

This paper proposes a hybrid multi-criteria decision-making (MCDM) framework for selecting the optimal AI algorithms in the context of real-time infrared signal detection systems. Five performance criteria were considered, namely the processing speed, detection accuracy, segmentation efficiency, noise robustness and energy efficiency, reflecting the requirements of real-time image processing and embedded computer vision systems. This framework integrates the SWARA method for expert-based criteria weighting with Net Worth Analysis (NWA) for algorithm ranking, enabling a transparent and systematic evaluation. The experimental results show that the Fast R-CNN algorithm achieves the highest overall performance, while algorithms such as EfficientDet obtain lower scores and require further refinement to be effectively used in real-time infrared signal detection applications. To sum up, the proposed method addresses the current lack of structured decision-support tools for selecting among various AI-based infrared signal detection models under operational constraints. The research findings provide actionable guidance for researchers and practitioners developing embedded AI, surveillance and automated monitoring systems.

Multi-criteria decision making (MCDM), SWARA method, Net Worth Analysis (NWA), Artificial intelligence, Image processing algorithms, Computer vision, Algorithm evaluation.

M 23

The International Journal of Electrical and Computer Engineering Systems

Trends and Networks in the Application of MCDM Methods in Computer Science: Analysis of the Web of Science Database

Veljić, Ana ; Viduka, Dejan ; Ilić, Luka ; Šijan, Aleksandar ; Karabašević, Darjan

https://ijeces.ferit.hr/index.php/ijeces/article/view/4352

This paper presents a comprehensive bibliometric analysis of scientific output in the field of Multi-Criteria Decision-Making (MCDM) within the context of computer science, focusing on the period from 2019 to mid-2025. Using data from the Web of Science Core Collection, a total of 302 relevant papers were identified based on criteria such as publication year, language, document type, open access status, and research area. The analysis covers publication dynamics, the most influential authors and institutions, thematic directions, and collaboration structures. Special emphasis is placed on citation analysis of the most impactful works, as well as the visualization of co-authorship networks using the PRISMA methodology and tools such as RStudio and Biblioshiny. The results reveal a growing trend in publications, high activity by certain authors (e.g., Akram M and Liu Y), and strong collaboration within research clusters. Dominant topics include decision-making models, alternative selection, aggregation operators, and priority evaluation. This study provides insights into the structure and dynamics of the scientific community engaged in MCDM methods in computer science and may serve as a guide for future researchers, practitioners, and scientific development strategies.

Multi-Criteria Decision-Making (MCDM), Bibliometric Analysis, Computer Science, AHP, TOPSIS, VIKOR, Fuzzy Logic, Web of Science

M 23

Algorithms

NAR–SPEI–NARX Hybrid Forecasting Model for Soil Moisture Index (SMI)

Todorov, Miloš ; Karabašević, Darjan ; Tekić, Predrag M.; Dudić, Dragana ; Viduka, Dejan

https://www.mdpi.com/1999-4893/19/4/287

This paper introduces a new hybrid forecasting architecture that combines Nonlinear Autoregressive (NAR) models, the proxy Standardized Precipitation-Evapotranspiration Index (SPEI), and a Nonlinear Autoregressive with Exogenous Inputs (NARX) framework for Soil Moisture Index (SMI) prediction. The suggested methodology solves the crucial difficulty of combining future climatic knowledge into soil moisture forecasting by using a cascaded approach. Stage 1 uses univariate NAR models to create multi-step-ahead predictions of precipitation and temperature. Stage 2 converts these forecasts into proxy SPEI values using a physically based water balance computation, and Stage 3 employs a NARX model that uses observed historical SMI and forecast-derived proxy SPEI as exogenous inputs. The framework is assessed using high-frequency observations from 2014 to 2020, with training data through 2019 and validation covering the whole 2020 horizon. The study combining forecast-driven climatic indicators with autoregressive soil moisture dynamics resulted in prediction accuracy (R2 = 0.9888, RMSE = 0.0827, MAE = 0.0567). This study presents a new NAR–SPEI–NARX model for SMI prediction forecasting, based on three-stage modeling, where NAR models forecast precipitation and temperature and then turn them into SPEI-proxy as an exogenous input for NARX.

Soil Moisture Index (SMI); Standardized Precipitation-Evapotranspiration Index (SPEI); Nonlinear Autoregressive model (NAR); Nonlinear Autoregressive with Exogenous Inputs (NARX); time series

M 22

Facta Universitatis, Series: Teaching, Learning and Teacher Education

PRIORITIZATION OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN HIGHER EDUCATION USING THE PIPRECIA-S MCDM MODEL

Ilić, Luka ; Viduka, Dejan ; Šijan, Aleksandar ; Predić, Bratislav

https://casopisi.junis.ni.ac.rs/index.php/FUTeachLearnTeachEd/article/view/14459

This study applies the PIPRECIA-S model to evaluate and prioritize artificial intelligence (AI) applications in higher education. The aim is to identify which AI-driven solutions offer the greatest potential for improving teaching, learning and institutional management. Seven relevant criteria were defined based on the literature and expert consultation: pedagogical effectiveness, student engagement, adaptability, ease of implementation, data security, cost efficiency and long-term sustainability. Four AI applications were selected for evaluation: adaptive learning systems, intelligent tutoring systems, predictive analytics for student success and automated administrative tools. A panel of five domain experts independently provided pairwise comparisons to weight the criteria, while a separate panel assessed the alternatives. The results indicate that Adaptive Learning Systems achieved the highest overall score (4.375), followed by Intelligent Tutoring Systems (4.107) and Predictive Analytics (4.062), while Administrative Tools (3.647) ranked lowest. These findings highlight the pedagogical priority of AI solutions that directly enhance learning outcomes and student retention. The paper contributes by demonstrating how multi-criteria decision-making (MCDM) models, such as PIPRECIA-S, can support evidence-based policy and strategic planning in higher education, providing both theoretical insights and practical guidelines for sustainable AI integration.

Artificial intelligence, higher education, PIPRECIA-S, decision-making, educational technology

M 52

Healthcare

Pain and Disability Therapy with Stabilization Exercises in Patients with Chronic Low Back Pain: A Meta-Analysis

Dimitrijević V., Rašković B., Jevtić N., Nikolić S., Viduka D., Obradović B.

https://www.mdpi.com/2227-9032/13/9/960

Background: Chronic low back pain is a leading cause of disability worldwide, necessitating effective interventions to alleviate pain and improve function. This meta-analysis aimed to evaluate the effectiveness of stabilization exercises for pain relief and disability reduction in patients with chronic low back pain. Methods: A meta-analysis was conducted following PRISMA and Cochrane guidelines. Randomized controlled trials evaluating stabilization exercises for chronic low back pain were included. Subgroup analyses were performed based on treatment duration, type of pain (specific vs. non-specific), study quality, and exercise type. Effect sizes were calculated using standardized mean differences (SMD), and evidence quality was assessed using the GRADE tool. Results: A total of 23 studies involving 1132 participants were included. The meta-analysis revealed that longer treatment durations (8–12 weeks) showed the strongest effects on pain reduction (SMD = −0.88) and disability improvement (SMD = −0.85). For pain type, non-specific low back pain responded better (SMD = −0.81 for pain, −0.73 for disability) compared to specific LBP (SMD = −0.61 and −0.42, respectively). The 6-week duration also demonstrated moderate effects (SMD = −0.72 for pain). Core stability exercises had superior pain reduction (SMD = −0.90, large effect) compared to spinal stability exercises (SMD = −0.57), while spinal stability exercises showed higher-quality evidence for disability improvement (SMD = −0.56, high-quality) versus core stability (SMD = −0.62, low-quality). Conclusion: Stabilization exercises are a highly effective intervention for chronic low back pain, offering significant pain relief and functional improvement. They outperform other common interventions and should be prioritized in clinical practice, particularly in longer-duration, supervised programs. These findings provide strong evidence to guide treatment protocols and improve outcomes for patients with chronic low back pain.

low back pain; back pain; conservative treatment; exercise therapy

M21 – Rad u vodećem međunarodnom časopisu kategorije

Healthcare

Treatment of Adolescent Idiopathic Scoliosis with the Conservative Schroth Method: A Randomized Controlled Trial

Dimitrijević V., Rašković B., Popović M.P., Viduka D., Nikolić S., Jevtić N., Pjanić S., Obradović B.

https://www.mdpi.com/2227-9032/13/6/688

Objective: The objective of this study was to determine the effectiveness of the conservative Schroth method in patients with adolescent idiopathic scoliosis. Methods: A total of 34 respondents, 24 male and 10 female, aged between 11 and 16 years, participated in the research. The study was a single-blind randomized trial, in which subjects were divided into control and experimental groups by stratified randomization according to the stratum of the Cobb angle. The control group performed the Schroth method at home without the supervision of Schroth therapists, while the experimental group performed the Schroth method under the supervision of Schroth therapists three times a week for 90 min over eight weeks. Initial and final outcome measurements were performed: Cobb angle, angle of trunk rotation, vital capacity, forced vital capacity, forced expiratory volume in the first second, the percentage of forced expiratory volume in the first second in forced vital capacity, and chest expansion. Results: There was a statistically significant improvement in all measured outcomes in the experimental group, while no statistically significant changes were recorded in the control group. The Cobb angle decreased by 2.12°, while ATR decreased by 2.88°; VC increased by 0.15 L, FVC by 0.13 L, FEV1 by 0.1 L, and CE increased by 0.78 cm. Conclusions: The application of an eight-week therapy program using Schroth method by subjects with adolescent idiopathic scoliosis had statistically significant changes in all measured outcomes in the group that was supervised by Schroth’s therapists, while there was no statistically significant improvement in the group that applied therapy at home without supervision.

Schroth method; adolescent idiopathic scoliosis; Cobb angle; randomized controlled trial

M21 – Rad u vodećem međunarodnom časopisu kategorije

Sustainability

Sustainable Decision-Making in Higher Education: An AHP-NWA Framework for Evaluating Learning Management Systems

Veljić A., Viduka D., Ilić L., Karabasevic D., Šijan A., Papić M.

https://www.mdpi.com/2071-1050/17/22/10130

This paper applies a hybrid multi-criteria decision-making (MCDM) model that integrates the Analytic Hierarchy Process (AHP) for structured weighting of evaluation criteria with the Net Worth Analysis (NWA) method for value-based aggregation of scores. The proposed framework was employed to evaluate Learning Management Systems (LMS) in higher education, involving two independent expert panels representing management and IT perspectives. Results of the AHP analysis show that cost (28%), security (22%), and usability (17%) are the most influential criteria in the decision-making process, reflecting institutional priorities for financial efficiency, safety and ease of use. Based on the combined AHP-NWA model, Moodle 4.3 emerged as the most sustainable choice (0.586), followed by Atutor 2.2.1 (0.541) and Blackboard (SaaS edition) (0.490). The inclusion of sensitivity and scenario analyses confirmed the robustness of the model, demonstrating that the ranking of alternatives remains stable under variations in weighting factors and different strategic priorities. By framing LMS evaluation within the context of sustainable digital transformation, the study emphasizes how transparent and systematic decision-making supports long-term institutional resilience and aligns with the principles of Education for Sustainable Development (ESD). In addition, the framework contributes to the achievement of Sustainable Development Goal 4 (Quality Education), by guiding higher education institutions toward inclusive, resilient and cost-effective digital solutions.

Learning Management Systems (LMS); AHP; NWA; higher education; sustainability in higher education; Education for Sustainable Development (ESD)

M22 – Rad u međunarodnom časopisu

Electronics

An Intelligent Multi-Criteria Decision Approach for Selecting the Optimal Operating System for Educational Environments

Marinović M., Viduka D., Lavrnić I., Stojčetović B., Skulić A., Bašić A., Balaban P., Rastovac D.

https://www.mdpi.com/2079-9292/14/3/514

The selection of an appropriate operating system (OS) in educational environments is a critical decision that impacts the functionality, user experience, and overall efficiency. Financial factors, along with the availability and functionality of tools used on these systems, play a crucial role in this selection. Furthermore, the OS affects the user experience, security, and adaptability to learning. Previous research in this area is scarce, and this paper contributes to a better understanding of the OS selection process in education. This paper proposes a novel multi-criteria decision-making approach to evaluate and select the most suitable OS for educational institutions. The methodology integrates the PIPRECIA method for assessing weighted criteria, alongside utility analysis (NWA), enabling a balanced decision-making process between institutional management and IT experts. The evaluation considered the following criteria: performance, cost, security, usability, implementation, support, and documentation. The study compared three popular operating systems: Microsoft Windows 11, GNU Linux Ubuntu 22.04 LTS, and Apple macOS 12 using the proposed approach. The results, based on the integrated evaluation of all criteria, indicate that GNU Linux Ubuntu 22.04 LTS (0.562) ranked highest, followed by Microsoft Windows 11 (0.553) and Apple macOS 12 (0.543). This paper emphasizes the importance of objective, group-based decision-making in selecting an OS for education, providing practical insights and guidelines for effective technology integration in academic settings.

education; multi-criteria decision making; net worth analysis; operating system; PIPRECIA method

M22 – Rad u međunarodnom časopisu

International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)

A Hybrid SWARA-NWA Framework for Evaluating AI-Based Image Recognition Algorithms in Educational Technology Applications

Gligorijević N., Viduka D., Đukić-Popović S., Nikolić V., Popović S.

https://ijcrsee.com/index.php/ijcrsee/article/view/3377

Artificial Intelligence (AI) and computer vision technologies are increasingly integrated into educational environments through intelligent tutoring systems, gesture-based learning, facial expression analysis, and automated evaluation tools. However, selecting the most appropriate image recognition algorithms for educational applications remains a challenge due to varying requirements regarding speed, accuracy, hardware compatibility, and usability in dynamic classroom conditions. This paper proposes a hybrid multi-criteria decision-making (MCDM) model based on the Step-wise Weight Assessment Ratio Analysis (SWARA) and Net Worth Analysis (NWA) methods to evaluate and rank nine widely used AI-based visual recognition algorithms. The evaluation is conducted using five education-relevant criteria: processing speed, recognition accuracy, robustness to classroom noise, compatibility with low-end devices, and energy efficiency. Expert assessments from the field of educational technology were used to derive weight coefficients and evaluate algorithm performance. The results show that Fast R-CNN achieved the highest overall score (1.141), followed by U-Net (1.077) and DeepLab (1.062), indicating their suitability for real-time and resource-constrained EdTech environments. Algorithms such as MobileNet (1.057) and YOLO (1.037) also demonstrated balanced performance, making them viable for mobile or moderately demanding educational scenarios. The proposed model offers a structured and transparent decision-support framework that can assist researchers and practitioners in selecting optimal AI algorithms for diverse educational applications.

SWARA, NWA, artificial intelligence, image recognition, educational technology

M22 – Rad u međunarodnom časopisu

Electronics

Optimization of Artificial Intelligence Algorithm Selection: PIPRECIA-S Model and Multi-Criteria Analysis

Popović S., Viduka D., Bašić A., Dimić V., Djukic D., Nikolić V., Stokić A.

https://www.mdpi.com/2079-9292/14/3/562

In the age of digitization and the ever-present use of artificial intelligence (AI), it is essential to develop methodologies that enable the systematic evaluation and ranking of different AI algorithms. This paper investigated the application of the PIPRECIA-S model as a methodological framework for the multi-criteria ranking of AI algorithms. Analyzing relevant criteria such as efficiency, flexibility, ease of implementation, stability and scalability, the paper provided a comprehensive overview of existing algorithms and identified their strengths and weaknesses. The research results showed that the PIPRECIA-S model enabled a structured and objective assessment, which facilitated decision-making in selecting the most suitable algorithms for specific applications. This approach not only advances the understanding of AI algorithms but also contributes to the development of strategies for their implementation in various industries.

PIPRECIA-S model; artificial intelligence; multi-criteria analysis; algorithm ranking; strategic planning

M22 – Rad u međunarodnom časopisu

Sinteza 2025

Multi-Criteria Decision – Making in the Evaluation of Software Testing Methods

Bašić A., Viduka D.

https://portal.sinteza.singidunum.ac.rs/paper/1030

Development of software requires reliable and effective testing methods to ensure its functionality and quality. This research was conducted with the aim of identifying the most suitable testing method for different software development scenarios, considering key evaluation criteria. The paper analyzes and ranks four software testing methods – Black-Box Testing, White-Box Testing, Automated Testing and Agile Testing – using the PIPRECIA-S method. The analysis was conducted based on five key criteria: efficiency, testing coverage, ease of implementation, cost of implementation and reliability of results. The results showed that Automated Testing is the most effective method with the highest overall score, while Black-Box Testing ranks last due to limited reliability and effectiveness. Agile and White-Box testing proved to be moderately balanced methods, with different advantages depending on the specific requirements of the project. This paper provides an insight into the advantages and limitations of each method, as well as guidelines for their selection in real projects, contributing to a better understanding of the optimization of the software testing process.

Software Testing, Testing Methods, PIPRECIA-S Method, Quality Assurance, Decision-making

M33 – Saopštenje sa međunarodnog skupa štampano u celini

International Scientific Conference – ALFATECH, Belgrade

Testing IoT Devices and Systems in Smart Cities: Challenges and Solutions

Milović N., Viduka D.

https://conference.alfatech.rs/proceedings/

Smart cities rely on complex IoT systems to enhance urban services, yet testing these large-scale, heterogeneous, and security-critical deployments poses unique challenges. This paper identifies key issues—scalability, interoperability, security, and resource constraints—and reviews state-of-the-art solutions, including simulation frameworks, standardization efforts, automated testing, and AI-driven approaches, providing actionable insights for robust, reliable IoT testing in smart cities.

Interoperability, IoT testing, Scalability, Security, Smart cities

M45 – Poglavlje u monografiji / tematski zbornik nacionalnog značaja

International Scientific Conference – ALFATECH, Belgrade

Development of Educational Information Systems in Smart Cities with the Application of Artificial Intelligence

Bašić A., Viduka D., Vukić A.

https://conference.alfatech.rs/proceedings/

The development of educational information systems in the context of the fourth industrial revolution and smart cities is transforming traditional approaches to education through the integration of artificial intelligence (AI), IoT and cloud computing. These advanced systems enable personalization of learning, automation of knowledge assessment and efficient management of resources, thus supporting the principles of Education 4.0. The focus is on adaptive technologies that meet the individual needs of students, improve the quality of teaching and increase user engagement. This paper analyzes the key technologies, methods and tools which are enabling the application of AI in education, identifying challenges such as privacy protection, ethical dilemmas, the digital divide and the integration of new technologies into existing educational practices. Special attention is given to the application of AI in the personalization of learning, the automation of knowledge assessment and the optimization of resource management in educational institutions. The results of the analysis highlight the significant potential of these systems for improving the educational experience, while proposing a strategic framework for their implementation in smart cities.

artificial intelligence; educational information systems; IoT; personalization of learning; resource management; smart cities

M45 – Poglavlje u monografiji / tematski zbornik nacionalnog značaja

Journal of Process Management and New Technologies

The impact of website design on customer satisfaction and purchase intention

Tomić T., Lavrnić I., Viduka D.

https://scindeks.ceon.rs/Article.aspx?artid=2334-735X2501001T

As e-commerce continues to grow, businesses are realizing the significance of having a strong online presence through well-designed websites. This study aims to establish a comprehensive understanding of the key factors that contribute to website quality and their importance from the consumer's perspective. The main objectives of this research are to identify and prioritize these factors. To achieve this, a questionnaire was distributed among a younger demographic, and participants were asked to rate the importance of 11 parameters related to website quality. The data collected from the survey were analyzed using various statistical tests, including descriptive statistics, Chi-square independence test, and factor analysis. These tests were employed to rank the parameters, examine the influence of gender on respondents' answers, identify areas of disagreement among participants, and determine if certain parameters could be grouped together. The quality of a web page is greatly influenced by various features, including its layout, visual complexity, colorfulness, user-friendliness, speed of processing visitor requests, and reliability. To analyze these features, a feature vector was created. Conducted as exploratory descriptive research, this study utilized a survey to gather data from 117 participants across different social networks. The research encompasses both qualitative and quantitative stages. The qualitative phase aims to identify variables that impact consumer engagement in social commerce, while the quantitative phase involves data collection, validation, and analysis.

Website, quality of e-service, user experience, e-commerce

M52 – Rad u nacionalnom časopisu

Fakultet za primenjeni menadžment, ekonomiju i finansije, Beograd

kEDIS – informacioni sistem za visokoškolske ustanove

Ilić L., Šijan A., Viduka D.

https://enauka.gov.rs/handle/123456789/949637

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M81 – Novo tehničko rešenje primenjeno na međunarodnom nivou

Frontiers in Sports and Active Living

Treatment of idiopathic scoliosis with conservative methods based on exercises: a systematic review and meta-analysis

Dimitrijević V., Rašković B., Popović M., Viduka D., Nikolić S., Drid P., Obradović B.

https://www.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2024.1492241/full

Introduction: This systematic review and meta-analysis aimed to systematically assess the effect size of conservative methods based on exercise for respondents with idiopathic scoliosis. Methods: This study was developed in accordance with the PRISMA guidelines. The PubMed, Cochrane Library, Web of Science, and Google Scholar databases were searched in May 2023. The key search terms were “Idiopathic scoliosis”, “Adolescent idiopathic scoliosis”, “Cobb angle”, “Angle of trunk rotation”, “Quality of life”, “Schroth method”, and “Core stabilization exercises”. Risk of bias was assessed for each randomized trial using the Cochrane risk of bias tool, and the methodological index for non-randomized studies. The outcomes included Cobb angle, angle of trunk rotation (ATR), forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), and quality of life (QoL). R 4.0.5 software was used, and standardized mean differences (SMD) and 95% confidence intervals (CIs) were calculated for continuous outcomes using a random model. Results: In total, 23 studies were included. Depending on the outcome measured, the effect size of the different methods in the treatment of idiopathic scoliosis ranged from small to large as follows: Cobb angle (SMD = −0.43, p < 0.0001), ATR (SMD = −0.25, p = 0.06), FVC (SMD = 0.48, p = 0.03), FEV1 (SMD = 0.51, p = 0.004), and QoL (SMD = 0.95, p < 0.0001). Conclusion: Our meta-analysis indicates the positive effects of applying conservative methods based on therapeutic exercises on patients with idiopathic scoliosis.

scoliosis, exercise therapy, systematic review, meta-analysis

M21 – Rad u vodećem međunarodnom časopisu kategorije

Buildings

Multi-Criteria Decision Analysis of Wireless Technologies in WPANs for IoT-Enabled Smart Buildings in Tourism

Bašić A., Viduka D., Kraguljac V., Lavrnić I., Jevremović M., Balaban P., Sajfert D., Gligorijević M., Barzut S.

https://www.mdpi.com/2075-5309/14/10/3275

The increasing demand for energy-efficient and interconnected smart buildings, particularly in the tourism sector, has driven the adoption of advanced wireless technologies. IoT technologies are crucial in this evolution, improving modern buildings’ functionality and operational efficiency. This study investigates the utilization of various wireless technologies within Wireless Personal Area Networks (WPANs), including Bluetooth BLE 4.2, Bluetooth BLE 5.0, ZigBee, and Z-Wave, in smart buildings. A multiple-criteria decision-making (MCDM) approach, specifically the PIPRECIA-S model, was applied to evaluate these technologies based on criteria such as device connectivity, mobility, low energy consumption, scalability, flexibility, and interoperability. Simulations using the PIPRECIA-S model were conducted to assess technology performance across various real-world scenarios. The results indicate that ZigBee (0.2942) and Bluetooth BLE 5.0 (0.2602) provide superior performance in terms of energy efficiency and scalability, followed by Z-Wave (0.2550) and Bluetooth BLE 4.2 (0.1906). These findings provide decision-makers with data-driven recommendations for selecting the most suitable wireless technologies for smart buildings.

smart buildings; wireless technologies; Internet of Things (IoT); tourism; PIPRECIA-S model

M21 – Rad u vodećem međunarodnom časopisu kategorije

Electronics

Mapping Computer Vision Syndrome: An Engineering Problem in Human–Computer Interaction

Viduka D., Dimitrijević V., Rastovac D., Gligorijević M., Bašić A., Maričić S., Jokić S.

https://www.mdpi.com/2079-9292/13/22/4460

Computer Vision Syndrome (CVS) is a highly prevalent syndrome today, yet it remains relatively understudied, leading to limited awareness among users about this syndrome and its preventive measures. This study aims to draw attention to this syndrome among authors and researchers and encourage further research in this area. Data were retrieved from the databases PubMed, Lens, Scopus, and Google Scholar, compiling existing articles and publications from the CVS domain. Analyses cover the period from 1 January to 31 December 2023. Zotero 6.0.27, VOSviewer 1.6.20, and Microsoft Excel software were used for data analysis. A total of 893 papers were reviewed, with 578 papers included in our analysis. The study presents five different analyses showing top authors and publishers, publication trends over the years, as well as papers by source, and, finally, the most frequently used keywords. The results highlight trends in various aspects related to this issue, through the analysis of published articles over the years, along with prominent authors and their respective countries. The focus of this research is on computer vision syndrome and its representation in scientific databases. What is clearly evident from this study is the increasing trend in research over the years, as well as the leading countries in these studies. However, it is also apparent that further research in this area is needed to bring new insights to researchers and raise awareness among users who encounter computers in their daily work.

bibliometric analysis; computer vision syndrome; human–computer interaction; occupational diseases; computer users; computer terminals

M22 – Rad u međunarodnom časopisu

Electronics

Modeling Cybersecurity Risk: The Integration of Decision Theory and Pivot Pairwise Relative Criteria Importance Assessment with Scale for Cybersecurity Threat Evaluation

Šijan A., Viduka D., Ilić L., Predić B., Karabašević D.

https://www.mdpi.com/2079-9292/13/21/4209

This paper presents a comprehensive model for cyber security risk assessment using the PIPRECIA-S method within decision theory, which enables organizations to systematically identify, assess and prioritize key cyber threats. The study focuses on the evaluation of malware, ransomware, phishing and DDoS attacks, using criteria such as severity of impact, financial losses, ease of detection and prevention, impact on reputation and system recovery. This approach facilitates decision making, as it enables the flexible adaptation of the risk assessment to the specific needs of an organization. The PIPRECIA-S model has proven to be useful for identifying the most critical threats, with a special emphasis on ransomware and DDoS attacks, which represent the most significant risks to businesses. This model provides a framework for making informed and strategic decisions to reduce risk and strengthen cyber security, which are critical in a digital environment where threats become more and more sophisticated.

cybersecurity risk; decision theory; PIPRECIA-S; threat evaluation; risk assessment model

M22 – Rad u međunarodnom časopisu

Electronics

Research trends in artificial intelligence and security – Bibliometric analysis

Ilić L., Šijan A., Predić B., Viduka D., Karabašević D.

https://www.mdpi.com/2079-9292/13/12/2288

This paper provides a bibliometric analysis of current research trends in the field of artificial intelligence (AI), focusing on key topics such as deep learning, machine learning, and security in AI. Through the lens of bibliometric analysis, we explore publications published from 2020 to 2024, using primary data from the Clarivate Analytics Web of Science Core Collection. The analysis includes the distribution of studies by year, the number of studies and citation rankings in journals, and the identification of leading countries, institutions, and authors in the field of AI research. Additionally, we investigate the distribution of studies by Web of Science categories, authors, affiliations, publication years, countries/regions, publishers, research areas, and citations per year. Key findings indicate a continued growth of interest in topics such as deep learning, machine learning, and security in AI over the past few years. We also identify leading countries and institutions active in researching this area. Awareness of data security is essential for the responsible application of AI technologies. Robust security frameworks are important to mitigate risks associated with AI integration into critical infrastructure such as healthcare and finance. Ensuring the integrity and confidentiality of data managed by AI systems is not only a technical challenge but also a societal necessity, demanding interdisciplinary collaboration and policy development. This analysis provides a deeper understanding of the current state of research in the field of AI and identifies key areas for further research and innovation. Furthermore, these findings may be valuable to practitioners and decision-makers seeking to understand current trends and innovations in AI to enhance their business processes and practices.

artificial intelligence; deep learning; machine learning; security; blockchain

M22 – Rad u međunarodnom časopisu

Sinteza 2024

Application of the Agile Method of Project Management in Education of IT Students

Bašić A., Viduka D., Balaban P.

https://portal.sinteza.singidunum.ac.rs/paper/982

Scrum is one of the agile process frameworks used for better planning, organization and prioritization of work. Implementing the Scrum methodology in the educational process enables active student participation, teamwork, and the cultivation of problem-solving skills. The paper presents the basics of the Scrum framework, defines roles in the Scrum team, explains Scrum events and artifacts. The problems that may arise during the implementation of Scrum in the teaching process are analysed. The advantages of applying this agile method are emphasized and explanations are given on how the implementation of Scrum in teaching can improve the quality of teaching and learning, as well as the motivation of students.

Agile, IT education, Project-based Learning, Project management, Scrum

M33 – Saopštenje sa međunarodnog skupa štampano u celini

Sinteza 2024

Comparative Analysis of Potential Frameworks for Agile Development of Large Software Projects

Balaban P., Viduka D., Bašić A.

https://portal.sinteza.singidunum.ac.rs/paper/981

The current business environment requires an agile approach to software development in order to deliver products quickly and efficiently. This paper explores several different but well-known agile frameworks and analyzes their strengths and weaknesses in the context of large and complex software projects. Through comparison, we discover that each of these frameworks offers specific approaches to scaling project tasks with their unique characteristics. The final choice of framework depends on the specific needs and goals of the organization or the preferences of the decision-making team managers. The paper emphasizes the importance of careful assessment and analysis of each framework, consulting with experts, and gathering feedback in order for organizations to effectively scale their operations on a given project and deliver high-quality products within the set deadlines and expected quality.

Agile Framework, High-Quality Software, Software Projects, Large Software Projects, Complex Software Projects

M33 – Saopštenje sa međunarodnog skupa štampano u celini

ALFATECH – Smart Cities and Modern Technologies

Overview of wireless technologies in wireless personal area networks for IoT integration in smart cities

Bašić A., Ratovac D., Viduka D.

https://conference.alfatech.rs/proceedings/

The main goals of the development of smart cities are to improve the quality of life of citizens, to improve energy efficiency and to reduce the emission of greenhouse gases. The use of modern technologies, such as wireless networks and Internet-based applications, has made smart cities a reality. The development of wireless communication technologies enabled the application of the Internet of Things (IoT) concept. IoT technology is key for development of smart cities because it has made it possible to connect all devices and city infrastructure via the Internet. The goal of the research was to review wireless technologies in Wireless Personal Area Networks (WPANs) for IoT applications. The characteristics of Bluetooth, ZigBee and Z-Wave technologies, their application in the IoT concept, advantages and disadvantages are analyzed. The aim of the research was to compare these three technologies in terms of speed, coverage, energy efficiency, accessibility, cost and network capacity.

Bluetooth, ZigBee, Z-Wave, WPAN, Internet of Things (IoT)

M33 – Saopštenje sa međunarodnog skupa štampano u celini

ALFATECH – Smart Cities and Modern Technologies

Transformation of urban spaces of smart cities through advanced graphical user interfaces (UI)

Alebić L., Viduka D., Vrandečić D.

https://conference.alfatech.rs/proceedings/

This paper explores the key aspects of user interface design for smart cities. We analyze the key elements and challenges in creating smart city interfaces that support the needs of diverse populations, the complexity of urban environments, data security, and the integration of technology platforms. Implementation and evaluation of the user interface are key steps in ensuring efficiency and compliance with user needs. We study the processes of testing, evaluating and optimizing interfaces, as well as metrics for measuring performance and user satisfaction. We also explore future directions and trends in user interface design, including integration of advanced technologies, personalization of experience, connectivity and interoperability, innovative models of citizen participation, and an emphasis on sustainability and social responsibility. Through the application of these insights and approaches, it is possible to create interactive, user-oriented platforms that support the vision of inclusive, sustainable and technologically advanced smart cities. Continuous monitoring and adaptation to new trends and technologies are key to ensuring that user interfaces are ready for the challenges of the future and provide an optimal experience to their users.

user interface (UI), user experience design (UX), smart cities, computer graphics and digital transformation

M33 – Saopštenje sa međunarodnog skupa štampano u celini

Journal of Process Management and New Technologies

Comparative Analysis of the Computer Vision Syndrome Between the EU and Serbia

Viduka D., Bašić A., Balaban P.

https://scindeks.ceon.rs/Article.aspx?artid=2334-735X2403001V

It is hard to envisage any business activity nowadays without the use of computers. The users who in their work utilize computers or some other displays for viewing electronic contents are exposed to the computer vision syndrome effects. This paper defines the computer vision syndrome and explains occurrences of the syndrome, setting out also its consequences. Analysis has been made of the viewpoints of users from the developed EU countries regarding the computer vision syndrome. Comparison has been made of the obtained data with the data showing viewpoints of the users in the Republic of Serbia. The aim of this analysis is to form a comprehensive picture of the computer vision syndrome issues. At the end of the paper, solutions are depicted for reducing the consequences and preventing the computer vision syndrome occurrences.

computer display, eye aids, computer vision syndrome – CVS, engineering work, eye morphology

M52 – Rad u nacionalnom časopisu

Facta Universitatis, Series: Teaching, Learning and Teacher Education

Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database

Šijan A., Ilić L., Predić B., Viduka D., Rančić D.

https://casopisi.junis.ni.ac.rs/index.php/FUTeachLearnTeachEd/article/view/13172

Artificial intelligence (AI) is becoming increasingly important in higher education, which has resulted in the accelerated development of research in this area. This paper conducts a bibliometric analysis of scientific papers researching AI applications in higher education, using the Web of Science database. The analysis covers the period from 1996 to February 2024 and focuses on the most cited works in this field, a total of 82 papers, with 1011 citations (944 without self-citations). Our analysis shows that interest in AI has increased significantly over the past few years, with the most dominant research in the fields of education, computer science, and engineering. The largest number of papers was published in 2023, which indicates the growing importance of this topic. These results provide a foundation for future research on the impact of AI on educational practices, its challenges, and its potential to transform education in the future.

artificial intelligence, higher education, bibliometric analysis, research trends, Web of Science

M52 – Rad u nacionalnom časopisu

Napredne tehnologije u obrazovanju i privredi, Vrnjačka Banja

Akademsko proučavanje optimizacije veb stranica (SEO) kao važne kompetencije za buduće IT inženjere

Viduka D., Đurković Marić T., Vladisavljević R.

https://napredneteh.vtsns.edu.rs/NTP_2024/radovi/elektrotehnika/43.pdf

Značaj i uticaj Interneta konstantno rastu, kao i potreba za znanjem koje se na njega primenjuje. Akademske institucije stalno pokušavaju da ostanu u koraku sa tehnologijom i pripreme svoje studente za rad. SEO je tema koja je slabo obrađena u naučnim krugovima, stoga ima malu primenu u formalnom visokom obrazovanju. S druge strane, u profesionalnim krugovima, ova tema je izuzetno aktuelna i kao takva se prezentuje diplomskim studentima koji nisu previše upoznati s njom. Cilj i želja autora je da istakne važnost proučavanja ove teme kao posebnog kursa unutar akademskih studija putem ovog rada. Zadatak svake akademske institucije je da pripremi svoje studente, između ostalog, za tržište rada u oblasti za koju studiraju, a jedan od načina za to je konstantna inovacija u planovima i programima. Baš SEO je jedna od tema koja bi trebalo da se primeni na postojeće planove i programe kako bi se stvorilo najkompetentnije osoblje u oblasti informacionih tehnologija.

Optimizacija pretraživača, SEO, kompetencije IT inženjera, web optimizacija, akademski kurs o SEO-u

M63 – Saopštenje sa skupa nacionalnog značaja štampano u celini

Zbornik radova / Međunarodna naučno-stručna konferencija MEFKON 2023 Inovacije kao pokretač razvoja

Unapređenje treninga i testiranja modela veštačke inteligencije kroz validaciju podataka pomoću Python biblioteke Pydantic

Ilić, Luka ; Sijan, Aleksandar ; Viduka, Dejan

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M 33

Sport Mont

Isokinetic Hamstrings-to-Quadriceps Peak Torque Ratio in Combat Sports: A Systematic Review and Meta-analysis

Rašković, Bojan ; Dimitrijević, Vanja; Viduka, Dejan ; Milankov, Vukadin ; Ninković, Srđan ; Lakićević, Nemanja; Nikolić, Siniša; Scepanovic, Tijana ; Obradovic, Borislav

http://www.sportmont.ucg.ac.me/?sekcija=article&artid=1995

Combat sports are very demanding in terms of physical fitness as well as the risk of injury. Elite athletes during daily training due to specific movements can develop significant muscle asymmetry that can affect injury. The aim of this study was to systematically review the existing literature with respect to total average value of hamstrings- to-quadriceps (H/Q) 60°·s-1 and H/Q 180°·s-1 in judo, karate, taekwondo and wrestling. We placed special emphasis on sex-based differences and possible asymmetries between legs in terms of isokinetic performance. This document was developed and reported in accordance with the Guidelines for Preferred Reports for Systematic Reviews and Meta-Analyzes (PRISMA). Web of Science, PubMed and Google Scholar were searched for the relevant studies. Studies were included in the review if they were original and written in English and had to have H/Q ratio measured as an outcome. In total, data from 243 athletes from eleven studies included studies was analysed. The Mean of H/Q 60°·s-1 for all sports were: 58.33% for the right leg and 58.91% for the left leg. Women had higher values: 59.38% vs. 57.42% for the right leg and 61.35% vs. 56.56% for the left leg. The Mean of H/Q 180°·s-1 for all sports were: 71.44% for the right leg and 71.35% for the left leg. Women had higher values: 75.76% vs. 69.04% for the right leg and 73.39% vs. 70.33% for the left leg. All these values, combined for all sports, and divided into subgroups according to gender, show that they are within the recommended values. Combined results for all included studies showed that there was no asymmetry between the left and right leg. According to the results of the balance of the mentioned agonists and antagonists, which are crucial for knee joint stabilization during dynamic muscle contractions, we can conclude that athletes in combat sports do not represent a risk group.

H/Q ratio, biomechanics, judo, taekwondo, wrestling, karate combat sports

M 24+

Proceedings of the International Scientific Conference - Sinteza 2023

Application of Computer Network Simulation Software in Virtual Environment

Bašić, Ana; Rastovac, Dragan; Viduka, Dejan

https://portal.sinteza.singidunum.ac.rs/paper/917

The development of information technologies enabled interactive teaching and the application of various software in education. The paper analyzed problems observed in the standard way of teaching in the field of computer networks. The aim of this paper is to prove that the application of computer network simulation software in teaching can improve the understanding of the materials in the field of computer networks. A comparative analysis of three computer network simulation software (Cisco Packet Tracer, GNS3 and OPNET) was performed regarding of use of these software in teaching. It is shown why Cisco Packet Tracer is the best solution for entry-level education in this area. By creating a simple computer network using Cisco Packet Tracer software, the necessary initial theoretical knowledge of computer networks is presented. It has been shown that the application of computer network simulation software cannot replace the classical form of teaching but represents good support in mastering complicated theoretical concepts in the field of computer networks.

Computer networking, computer network simulation, Cisco Packet Tracer.

M 33

Vojnosanitetski pregled

Prevalence of computer vision syndrome in computer users: A systematic review and meta-analysis

Dimitrijevic, Vanja; Todorovic, Ivana; Viduka, Biljana ; Lavrnic, Igor; Viduka, Dejan

https://doiserbia.nb.rs/Article.aspx?ID=0042-84502300024D

Background/Aim. Vision and health problems associated with the use of computers and other digital devices are known as computer vision syndrome (CVS). Advances in technology have led to increased use of computers, so the prevalence of these symptoms is increasing. The aim of this study was to calculate the overall prevalence of CVS and CVS symptoms using meta-analysis. Methods. The study was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. In July 2021, a systematic search of four electronic databases with article collections was performed: PubMed, Cochrane Library, Web of Science, and Google Scholar. The key search terms were: “computer vision syndrome”, “computer users”, “digital eyestrain”, “headache”, “dry eyes”, “red eyes”, “eyestrain”, “neck pain”, “back pain”, and “shoulder pain”. The articles included in the study had to be original articles written in English only, and the criterion that had to be met was that the research included computer users. As a result, the prevalence of CVS or the prevalence of any of the symptoms of CVS had to be measured. Results. A total of 43 articles were fully reviewed, of which 20 were included in the meta-analysis. The total calculated prevalence for all studies was 74.4%, while the prevalence for individual symptoms was: headache – 43%, dry eyes – 24.4%, eyestrain – 29%, red eyes – 20.7%, and neck, back, or shoulder pain – 46.3%. Conclusion. The results obtained are worrying and point to the necessity of a multidisciplinary approach to solving CVS-related problems.

asthenopia, computers, databases, bibliographic, health, meta-analysis

M 23

Book of proceedings / International Scientific Conference on Information Technology and Data Related Research Sinteza

Importance of Studying Computer Graphics at Faculties for Computer and Informatics Engineers

Viduka, Dejan ; Ilić, Luka ; Vrandečić, Davor

https://portal.sinteza.singidunum.ac.rs/paper/850

The modern way of life and work tasks of computer and informatics engineers also require knowledge of working with computer graphics. This segment is mostly neglected or very little applied, so engineers during their education at the faculties acquire minimal or almost no knowledge about this area. This field has been widely applied in recent decades in various software and experts of that profile and knowledge are in great demand on the market. In this paper, we deal with the basic knowledge that we believe that every engineer dealing with digital products should possess. We have proposed subjects that could be studied so that future experts from the faculty would be more competent in the field of computer graphics. The primary goal of this paper is to encourage experts and creators of new programs at colleges to consider the application of these programs to acquire defined skills that would give users greater opportunities in choosing the final occupation and specialization.

computer graphics, vector graphics, raster graphics, user experience and user interface.

M 33

European Spine Journal

Effects of Schroth method and core stabilization exercises on idiopathic scoliosis: a systematic review and meta-analysis

Dimitrijević, Vanja; Viduka, Dejan ; Šćepanović, Tijana ; Maksimović, Nebojša ; Giustino, Valerio; Bianco, Antonino; Drid, Patrik

https://link.springer.com/article/10.1007/s00586-022-07407-4

Purpose Conservative approaches such as Schroth exercises and core stabilization exercises showed effective results in the treatment of idiopathic scoliosis. This study aimed to critically evaluate the magnitude effect of Schroth and core stabilization exercises using a systematic review and meta-analysis. Methods This study has been developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. The following three databases were searched for articles collection: Web of Science, PubMed, and Google Scholar. The key search terms were: Schroth exercise, core exercise, idiopathic scoliosis, Cobb angle, angle of trunk rotation, and quality of life. The articles included in our study was limited to original articles written only in English that met the following inclusion criteria: (1) Participants with idiopathic scoliosis; (2) Schroth exercises and core stabilization exercises used as interventions; (3) Cobb angle or angle of trunk rotation or quality of life used as outcome measures. Results Thirteen studies were included. Depending on the outcome measured, the magnitude effect of Schroth and core stabilization exercises ranged from small to almost large as follows: Cobb angle (SMD = – 0.376, p ˂ 0.001); angle of trunk rotation (SMD = – 0.268, p = 0.104); quality of life (SMD = 0.774, p = 0.002). By subgroup analysis, Schroth method showed a larger effect size than core stabilization exercises. Conclusion The current systematic review and meta-analysis indicates that both Schroth method and core stabilization exercises have a positive effect in subjects with idiopathic scoliosis. Subgroup analysis showed that the Schroth method had a larger effect size than the core stabilization exercises.

Schroth exercise · Core exercise · Idiopathic scoliosis · Physical exercise · Body posture

M 21

Quaestus

Setting up a model for studying the basics of programming at universities using the Python programming language

Viduka, Dejan ; Ilić, Luka ; Sijan, Aleksandar

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In this paper, we present a simple model that should lead to easier mastering of programming among students. The model is based on the study of one programming language, which should directly develop all the necessary knowledge of students and thus enable easier continuation of independent learning and integration into other programming languages. Through, we have processed the behavior of the Python programming language with algorithms but also with other popular programming languages such as Java and C ++. We only looked at the problem of programming through procedural and object-oriented programming using the Python programming language. The ultimate goal of the paper is to offer a new model that provides an effective approach to teaching students the basics of programming using a single programming language. The application of one programming language should lead to easier and deeper mastering of programming knowledge. In this paper, we recommend Python as an excellent choice for teaching object-oriented programming. Although often viewed as a "scripting" language, Python is a completely object-oriented language with a consistent object model and a rich set of built-in classes. Based on our experiences in teaching and working with students, we propose this model as a potential solution for faster and easier development of new skills in the field of programming

basics of programming, Python, programming languages, C++i Java

M 53

Quaestus

Application of Raspberry Pi Hardware and Python Programming Language in Small Production Plants

Ličina, Boris; Viduka, Dejan ; Ilić, Luka

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The paper is dedicated to the use of a very simple and accessible device that was created with the idea to serve as a platform for training computer science students. The Raspberry Pi did not claim to become a high-circulation product, but due to its performance, it became one. Primarily due to its low price followed by a wide range of possible practical applications. This device became very popular and enabled the development of IoT that are applied in various production processes. This paper presents a case study where this device is used in small production plants. The Python programming language is used to run this device, which is very simple but also very efficient. This combination of hardware and software has performed well in small, non-hardware-intensive manufacturing facilities. In addition to the incomparably more affordable price compared to commercial PLCs, it is often even a superior solution. The advantages are especially the easy integration into existing information systems and uncomplicated extensions and upgrades. It is also possible to integrate it into existing software solutions without major difficulties. The example described in this paper certainly represents a successful implementation that includes production planning, organization and monitoring of the production process (workflow) and worker efficiency.

Raspberry Pi, microprocessor, microcomputer, Python, Linux

M 53

Proceedings of the 11th International Conference on Applied Internet and Information Technologies AIIT 2021

Choosing the best Python web framework for beginner according to experienced users

Viduka, Dejan ; Ličina, Boris; Ilić, Luka

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The world of programming and the range of programming languagesused is very large, and the dynamics of developing new solutions further complicate the selection of the right solution for their needs and knowledge development. The aim of this paper is to help beginners to choose the appropriate framework for learning and further development with the help of experienced users. With this choice, the users experience is very important - the framework that the user chooses can be used later in further development. This selected framework helps the user to dedicate himself exclusively to the solution and to get the most out of it and himself, rather than wandering between different solutions returning each time to the beginning of mastering a new tool. The paper presents all eight frameworks that have been presented and, based on research, offers a recommendation of experienced users that the solution chooses for beginners, while allowing an easier start and advanced web development.

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M 33

Finance a Uver: Czech Journal of Economics and Finance

Measuring Downside Risk in Portfolios with Bitcoin

Živkov, Dejan ; Manić, Slavica ; Đurašković, Jasmina ; Viduka, Dejan

https://journal.fsv.cuni.cz/storage/1485_attachment.pdf

This study aims to determine which auxiliary asset – S&P500, SHCOMP, the U.S. 10Y bond, gold, Brent or corn, in combination with Bitcoin has the best downside risk- minimizing performances. Six portfolios are constructed via an optimal DCC-GARCH model, while for downside risk measures, we use parametric and semiparametric Value- at-Risk and Conditional Value-at-Risk. All selected auxiliary assets have very low dynamic correlation with Bitcoin, which classifies them as good diversifiers. According to parametric results, S&P500 has the best downside risk-minimizing output, while SHCOMP and gold take second and third place. However, when higher moments of portfolios are taken into account, the results change significantly. Due to very high kurtosis and negative skewness, portfolio with S&P500 has among the worst semiparametric downside risk results. On the other hand, SHCOMP index and gold have relatively favourable third and fourth moments’ characteristics, which pushes them to the first and second place of the best auxiliary assets when modified downside risk measures are at stake. We also calculate Sharpe ratio, which suggests that portfolio with gold has by far the best return/risk characteristics.

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M 23

Engineering Review

Risk assessment of a solar attack according to ISO 31000 standard

Lavrnić, Igor; Bašić, Ana; Viduka, Dejan

https://hrcak.srce.hr/262220

Energy supply remains the greatest challenge for many of Eastern European countries and their economy. In post-soviet and ex-Yugoslavian countries, till today there exists a system where some of the power plants rely on high voltage (HV) and medium voltage (MV) power grids in the process of distribution of electric energy (EE) to final consumers. This makes them vulnerable to solar storms due to HV power transformers which are especially sensitive to geomagnetic induced current (GIC). The acquisition of electrical power infrastructure could put the electrical infrastructure out of service from a couple of months to a year or more. Loss of income, for ordinary families, is a primary hazard of a long power outage. Business continuity of industry and other critical infrastructures (CI) is important in this scenario, but it is a significant challenge for small businesses and enterprises as well. This paper introduces ISO 31000 standard to such scenarios with the primary goal of achieving resilience of companies against such disaster as a new method of vial response to avoid scope of similar hazards.

ISO 31000; risk assessment; solar attack

M 23

Trendovi u poslovanju

Open model of education using Open Source principles

Viduka, Dejan ; Ličina, Boris; Kraguljac, Vladimir

https://scindeks.ceon.rs/Article.aspx?artid=2334-816X2101040V

Informaciono društvo predstavlja silu koja je promenila način na koji danas živimo, radimo, učimo, informišemo se i zabavljamo. Otvoreni model obrazovanja doživeo je eksplozivan rast u poslednjoj deceniji zahvaljujući sve većoj dostupnosti savremenih tehnologija. Inicijativa otvorenog pristupa se sada može videti u mnogim oblastima u obrazovanju i nauci gde doprinosi bržem i boljem sticanju i širenju znanja. U ovom radu govori se o mogućnostima korišćenja novog otvorenog modela zasnovanom na principima Open Source. Naučni doprinos predstavlja mogućnosti primene i unapređenja za sve aktere u procesu, pri tome stvarajući značajnu finansijsku uštedu i uticaj na digitalni jaz. Navedeno se ogleda u korišćenju legalnog softvera koji je besplatan, korišćenju starih računarskih konfiguracija i otvoren pristup naučnim i univerzitetskim izdanjima. Na ovaj način škole, nastavnici i učenici imaju mogućnost da učestvuju u nastavi, u radu ili u igri bez obzira na svoj finansijski status.

otvoreno obrazovanje; Open Source; digitalna podela; mrežno učenje; model obrazovanja

M 53

Journal of the National Science Foundation of Sri Lanka

Mechanical and barrier properties of flexible packaging materials after the flexo printing process

P. Balaban ; D. Viduka ; V. Ristic ; M. Maksin ; V. Radic ; Vladisavljević, Radovan ; Vulić, Miroslav ; M. Josimovic; N.Z. Radivojevic

https://jnsfsl.sljol.info/articles/10.4038/jnsfsr.v49i4.10277

In the flexo printing process, flexible food packaging materials are exposed to various effects (solvents, temperature, transport devices, etc.), that impact the quality of food packaging materials. Although, literature is available on the impact of these factors on the quality of food packaging, there are very few papers examining the impact of the flexo printing process on food packaging materials. Therefore, the aim of this paper is to examine if there are any changes occurring in tensile strength, elongation before tearing and gas permeability after the flexographic printing process regarding the selected flexible packaging materials – oriented polypropylene (OPP) and coated paper/polyethylene (PAP/PE). The measurement of tensile strength and elongation before tearing was carried out according to SRPS G.S2.734, and the measurement of gas permeability according to Lussy Method - DIN 53380. The results presented in this paper show that the tensile strength and elongation in both foil samples increased after the printing process (a higher increase of strength is determined in the PAP/PE foil). The exception is the PAP/PE sample, where increased permeability of N2 was observed. The reason for such results could be due to different surface characteristics of the tested materials since the process of ink absorption is different. Surface tension tests were conducted by applying measurements of the contact angle. The results show that the process of flexo printing did not change the functional properties of the packaging.

Elongation before tearingflexible packaging materialsflexo printing processgas permeabilitysurface tensiontensile strength

M 23

International journal of electrical and computer engineering systems

The Influence of Open Source Software on Creativity, Communication and Students’ Social Life

Viduka, Dejan ; Viduka, Biljana; Vrandečić, Davor

https://ijeces.ferit.hr/index.php/ijeces/article/view/41

Today’s global, knowledge-based society and economy need creative thinkers in all fields: engineering, medicine, arts, entrepreneurship and education. Educational institutions are tasked with finding new ways of encouraging students to become creative both as individuals and groups. Still, motivation and creativity are only a few of the primary educational goals. They are ambiguous by nature, theoretical, and hard to implement in the real world. Nevertheless, it is a common belief that creativity is an important trait that students should possess in order to face the quickly evolving world. The purpose of this study is to examine the related published works on games, software, imagination, education and creativity. We seek to gather useful information that would both draw attention to this problem and how Open-Source Software (OSS), as a model, can drive students’ creativity.

innovation, digital gap, open source software, education, creativity

M 23

Zbornik radova / Međunarodna naučno-stručna konferencija "Inovacije kao pokretač razvoja"

Nova metodologija za izbor operativnog sistema u obrazovanju

Viduka, Dejan ; Zajmović, Mahir ; Sijan, Aleksandar

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M 33

Zbornik Veleučilišta u Rijeci

ANALYSIS OF THE USE VALUE OF OLD HARDWARE USING OPEN SOURCE SOFTWARE

Viduka, Dejan ; Kraguljac, Vladimir ; Đurašković, Jasmina

https://hrcak.srce.hr/257663

At the beginning of the 21st century, Information and Communication Technologies (ICT) became an essential element of all spheres of life. The great opportunities these technologies provide are insufficiently used in many developing countries and one of the reasons for this is the lack of equipment. The aim of this paper is to present new areas for researches in the field of information systems, as well as showcase the opportunities and impacts of Open Source Software. The paper compares Microsoft Windows and GNU/Linux Ubuntu operating systems, the applicability and superiority of which have long been debated in the world of information technologies. The paper determines the possibilities for the prolonged use of old hardware by using open source software. In order to prove the applicability of these systems on old hardware, we have conducted tests that indicate the possibility of using both systems on the same hardware architectures.

hardware; costs; open source software; testing; operating systems

M 23

Journal of information and organizational sciences

The Use of E-government from the Perspective of Biggest Business Entities in Serbia

Đurašković, Jasmina; Viduka, Dejan ; Gajić-Glamočlija, Marina

https://jios.foi.hr/index.php/jios/article/view/1446

The development and use of information and communication technologies (ICTs), and in particular the Internet, have changed the way businesses operate in the last twenty years, providing a number of new opportunities for improving innovation and competitiveness. Today, modern ICT is considered to be the basis for the development of a knowledge society, in which the concept of e-government plays a special role. The main goal of this paper was to examine the perceptions of business users, in terms of perceived barriers and benefits achieved, from the use of electronic public administration services. The survey included 500 companies with the highest business income in Serbia. The data collected were analyzed using Pearson’s correlation coefficient, Mann Whitney’s test and Kruskal-Wallis test. The results of the research showed that the level of acceptance of electronic services is still lower than expected, given the volume of services offered. Also, this study pointed to the need to raise the level of awareness of businesses about e-government services, as well as the need to improve the quality of electronic services, in terms of complete digitization, alignment with enterprise requirements and regular updating of data.

ICT, e-government, business entities, Serbia

M 23