CURRENT EXPERIENCES IN THE APPLICATION OF THE INTERNET OF THINGS IN THE FOOD INDUSTRY, REVIEW
Vol. 15 No. 1 (2025): JITA – APEIRON IGOR GRUJIĆ CURRENT EXPERIENCES IN THE APPLICATION OF THE INTERNET OF THINGS IN THE FOOD INDUSTRY, REVIEW Review paper DOI: https://doi.org/10.7251/JIT2501062G Download Article PDF Abstract Modern agriculture and the food industry have a chance to apply modern technologies related to Industry 4.0. In this context, the review discusses the benefits that the food industry can have from incorporating Internet of Things (IoT) into its production processes and control system. The application of IoT will enable companies to more easily and efficiently achieve the set goals of the organization, produce high-quality and safe food and demand and expectations of consumers. This paper presents the latest knowledge about the potential application of IoT and its importance in the food production and processing sector, primarily in the food industry. In addition, the paper describes some barriers that obstruct the application of IoT in the food processing sector. Finally, the future trends of IoT research and application in this sector are listed. The Internet of Things has the potential to contribute to the improvement of the food industry and the food sector as a whole. This potential refers to: the overall practice of sustainability of the sector, improvement of working conditions, reduction of production costs, more efficient use of raw materials, reduction of energy consumption, reduction of the amount of waste and creation of environmentally friendly products. Keywords: barriers and challenges, food processing, food and agribusiness sector, internet of things (IoT) Paper received: 3.3.2025.Paper accepted: 22.4.2025. Vol. 15 No. 1 (2025): JITA – APEIRON IGOR GRUJIĆ CURRENT EXPERIENCES IN THE APPLICATION OF THE INTERNET OF THINGS IN THE FOOD INDUSTRY, REVIEW Review paper DOI: https://doi.org/10.7251/JIT2501062G Download Article PDF Abstract Modern agriculture and the food industry have a chance to apply modern technologies related to Industry 4.0. In this context, the review discusses the benefits that the food industry can have from incorporating Internet of Things (IoT) into its production processes and control system. The application of IoT will enable companies to more easily and efficiently achieve the set goals of the organization, produce high-quality and safe food and demand and expectations of consumers. This paper presents the latest knowledge about the potential application of IoT and its importance in the food production and processing sector, primarily in the food industry. In addition, the paper describes some barriers that obstruct the application of IoT in the food processing sector. Finally, the future trends of IoT research and application in this sector are listed. The Internet of Things has the potential to contribute to the improvement of the food industry and the food sector as a whole. This potential refers to: the overall practice of sustainability of the sector, improvement of working conditions, reduction of production costs, more efficient use of raw materials, reduction of energy consumption, reduction of the amount of waste and creation of environmentally friendly products. Keywords: barriers and challenges, food processing, food and agribusiness sector, internet of things (IoT) Paper received: 3.3.2025.Paper accepted: 22.4.2025. Vol. 15 No. 1 (2025): JITA – APEIRON IGOR GRUJIĆ CURRENT EXPERIENCES IN THE APPLICATION OF THE INTERNET OF THINGS IN THE FOOD INDUSTRY, REVIEW Review paper DOI: https://doi.org/10.7251/JIT2501062G Download Article PDF Abstract Modern agriculture and the food industry have a chance to apply modern technologies related to Industry 4.0. In this context, the review discusses the benefits that the food industry can have from incorporating Internet of Things (IoT) into its production processes and control system. The application of IoT will enable companies to more easily and efficiently achieve the set goals of the organization, produce high-quality and safe food and demand and expectations of consumers. This paper presents the latest knowledge about the potential application of IoT and its importance in the food production and processing sector, primarily in the food industry. In addition, the paper describes some barriers that obstruct the application of IoT in the food processing sector. Finally, the future trends of IoT research and application in this sector are listed. The Internet of Things has the potential to contribute to the improvement of the food industry and the food sector as a whole. This potential refers to: the overall practice of sustainability of the sector, improvement of working conditions, reduction of production costs, more efficient use of raw materials, reduction of energy consumption, reduction of the amount of waste and creation of environmentally friendly products. Keywords: barriers and challenges, food processing, food and agribusiness sector, internet of things (IoT) Paper received: 3.3.2025.Paper accepted: 22.4.2025.
THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN INFORMATION SYSTEMS DESIGN: A SYSTEMATIC REVIEW
Vol. 15 No. 1 (2025): JITA – APEIRON OLJA KRČADINAC, ŽELJKO SТANKOVIĆ, DRAGANA DUDIĆ, LAZAR SТOŠIĆ THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN INFORMATION SYSTEMS DESIGN: A SYSTEMATIC REVIEW Review paper DOI: https://doi.org/10.7251/JIT2501055K Download Article PDF Abstract The integration of Artificial Intelligence (AI) into Information Systems (IS) design is significantly reshaping traditional development processes, introducing automation, intelligent decision-making, and advanced data analysis capabilities. This systematic review explores the current landscape of AI-driven IS design, focusing on key AI techniques—such as machine learning, natural language processing, and generative models—that are increasingly applied across various stages of system development. The paper examines how these AI technologies are enhancing requirement engineering, system modeling, and process optimization. It also evaluates the benefits of AI in improving system efficiency, decision-making, and user experiences, while addressing challenges such as data quality, technical expertise, and ethical concerns. Finally, the review looks toward the future of AI in IS design, highlighting emerging trends such as low-code platforms and explainable AI. The findings emphasize the need for interdisciplinary collaboration and the development of transparent, responsible AI frameworks to fully realize the potential of intelligent, adaptive, and user-centric information systems. Keywords: artificial intelligence, information systems design, intelligent system, system architecture Paper received: 25.4.2025.Paper accepted: 23.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON OLJA KRČADINAC, ŽELJKO SТANKOVIĆ, DRAGANA DUDIĆ, LAZAR SТOŠIĆ THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN INFORMATION SYSTEMS DESIGN: A SYSTEMATIC REVIEW Review paper DOI: https://doi.org/10.7251/JIT2501055K Download Article PDF Abstract The integration of Artificial Intelligence (AI) into Information Systems (IS) design is significantly reshaping traditional development processes, introducing automation, intelligent decision-making, and advanced data analysis capabilities. This systematic review explores the current landscape of AI-driven IS design, focusing on key AI techniques—such as machine learning, natural language processing, and generative models—that are increasingly applied across various stages of system development. The paper examines how these AI technologies are enhancing requirement engineering, system modeling, and process optimization. It also evaluates the benefits of AI in improving system efficiency, decision-making, and user experiences, while addressing challenges such as data quality, technical expertise, and ethical concerns. Finally, the review looks toward the future of AI in IS design, highlighting emerging trends such as low-code platforms and explainable AI. The findings emphasize the need for interdisciplinary collaboration and the development of transparent, responsible AI frameworks to fully realize the potential of intelligent, adaptive, and user-centric information systems. Keywords: artificial intelligence, information systems design, intelligent system, system architecture Paper received: 25.4.2025.Paper accepted: 23.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON OLJA KRČADINAC, ŽELJKO SТANKOVIĆ, DRAGANA DUDIĆ, LAZAR SТOŠIĆ THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN INFORMATION SYSTEMS DESIGN: A SYSTEMATIC REVIEW Review paper DOI: https://doi.org/10.7251/JIT2501055K Download Article PDF Abstract The integration of Artificial Intelligence (AI) into Information Systems (IS) design is significantly reshaping traditional development processes, introducing automation, intelligent decision-making, and advanced data analysis capabilities. This systematic review explores the current landscape of AI-driven IS design, focusing on key AI techniques—such as machine learning, natural language processing, and generative models—that are increasingly applied across various stages of system development. The paper examines how these AI technologies are enhancing requirement engineering, system modeling, and process optimization. It also evaluates the benefits of AI in improving system efficiency, decision-making, and user experiences, while addressing challenges such as data quality, technical expertise, and ethical concerns. Finally, the review looks toward the future of AI in IS design, highlighting emerging trends such as low-code platforms and explainable AI. The findings emphasize the need for interdisciplinary collaboration and the development of transparent, responsible AI frameworks to fully realize the potential of intelligent, adaptive, and user-centric information systems. Keywords: artificial intelligence, information systems design, intelligent system, system architecture Paper received: 25.4.2025.Paper accepted: 23.5.2025.
ENERGY EFFICIENCY AS A NEW PARADIGM IN SOFTWARE ENGINEERING
Vol. 15 No. 1 (2025): JITA – APEIRON PERO RANILOVIĆ, DRAŽEN MARINKOVIĆ ENERGY EFFICIENCY AS A NEW PARADIGM IN SOFTWARE ENGINEERING Review paper DOI: https://doi.org/10.7251/JIT2501045R Download Article PDF Abstract This paper presents a comprehensive overview of energy efficiency as a modern engineering paradigm in software development. With growing demands on digital infrastructure and increasing energy consumption in information and communication technologies (ICT), optimizing software for energy performance has become a key quality requirement—alongside scalability, performance, and security. Drawing from international standards (such as ISO/IEC 25010), sustainability frameworks (e.g., Green Software Foundation), and relevant scientific literature, the paper analyzes how architectural choices, programming languages, software practices, and toolchains influence energy usage. It further highlights good engineering practices, comparative language benchmarks, and the integration of energy awareness into modern development workflows, such as DevOps and CI/ CD pipelines. The aim is to raise awareness among software engineers and decision-makers about the importance of sustainable software design and to offer practical guidelines for building energy-conscious systems. Keywords: CI/CD, DevOps, energy-efficient software, green software foundation, ISO/IEC 25010, programming languages, performance optimization, sustainable software engineering Paper received: 7.5.2025.Paper accepted: 25.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON PERO RANILOVIĆ, DRAŽEN MARINKOVIĆ ENERGY EFFICIENCY AS A NEW PARADIGM IN SOFTWARE ENGINEERING Review paper DOI: https://doi.org/10.7251/JIT2501045R Download Article PDF Abstract This paper presents a comprehensive overview of energy efficiency as a modern engineering paradigm in software development. With growing demands on digital infrastructure and increasing energy consumption in information and communication technologies (ICT), optimizing software for energy performance has become a key quality requirement—alongside scalability, performance, and security. Drawing from international standards (such as ISO/IEC 25010), sustainability frameworks (e.g., Green Software Foundation), and relevant scientific literature, the paper analyzes how architectural choices, programming languages, software practices, and toolchains influence energy usage. It further highlights good engineering practices, comparative language benchmarks, and the integration of energy awareness into modern development workflows, such as DevOps and CI/ CD pipelines. The aim is to raise awareness among software engineers and decision-makers about the importance of sustainable software design and to offer practical guidelines for building energy-conscious systems. Keywords: CI/CD, DevOps, energy-efficient software, green software foundation, ISO/IEC 25010, programming languages, performance optimization, sustainable software engineering Paper received: 7.5.2025.Paper accepted: 25.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON PERO RANILOVIĆ, DRAŽEN MARINKOVIĆ ENERGY EFFICIENCY AS A NEW PARADIGM IN SOFTWARE ENGINEERING Review paper DOI: https://doi.org/10.7251/JIT2501045R Download Article PDF Abstract This paper presents a comprehensive overview of energy efficiency as a modern engineering paradigm in software development. With growing demands on digital infrastructure and increasing energy consumption in information and communication technologies (ICT), optimizing software for energy performance has become a key quality requirement—alongside scalability, performance, and security. Drawing from international standards (such as ISO/IEC 25010), sustainability frameworks (e.g., Green Software Foundation), and relevant scientific literature, the paper analyzes how architectural choices, programming languages, software practices, and toolchains influence energy usage. It further highlights good engineering practices, comparative language benchmarks, and the integration of energy awareness into modern development workflows, such as DevOps and CI/ CD pipelines. The aim is to raise awareness among software engineers and decision-makers about the importance of sustainable software design and to offer practical guidelines for building energy-conscious systems. Keywords: CI/CD, DevOps, energy-efficient software, green software foundation, ISO/IEC 25010, programming languages, performance optimization, sustainable software engineering Paper received: 7.5.2025.Paper accepted: 25.5.2025.
IT STANDARDIZATION IN EDUCATION: A COMPARISON OF ISO/IEC AND IEEE STANDARDS PRICE
Vol. 15 No. 1 (2025): JITA – APEIRON MARIJA KRSТIĆ, LAZAR KRSТIĆ, VALENТINA SТANKOVIĆ IT STANDARDIZATION IN EDUCATION: A COMPARISON OF ISO/IEC AND IEEE STANDARDS PRICE Review paper DOI: https://doi.org/10.7251/JIT2501038K Download Article PDF Abstract Standardization exists in all areas of human activity and is an essential factor in contemporary manufacturing, banking, healthcare, education, and other organizations. Its key role in education is seen in promoting system interoperability through the application of learning technologies, which enables continued development in the field. This paper discusses the standardization regarding the application of information technologies in education, including e-learning. This paper aims to examine, through statistical analysis, specifically by using an appropriate T-test, whether the prices between the two groups of standards, ISO/IEC and IEEE, differ significantly from a statistical perspective. Keywords: analysis, education, information technology, standardization Paper received: 7.3.2025.Paper accepted: 20.4.2025. Vol. 15 No. 1 (2025): JITA – APEIRON MARIJA KRSТIĆ, LAZAR KRSТIĆ, VALENТINA SТANKOVIĆ IT STANDARDIZATION IN EDUCATION: A COMPARISON OF ISO/IEC AND IEEE STANDARDS PRICE Review paper DOI: https://doi.org/10.7251/JIT2501038K Download Article PDF Abstract Standardization exists in all areas of human activity and is an essential factor in contemporary manufacturing, banking, healthcare, education, and other organizations. Its key role in education is seen in promoting system interoperability through the application of learning technologies, which enables continued development in the field. This paper discusses the standardization regarding the application of information technologies in education, including e-learning. This paper aims to examine, through statistical analysis, specifically by using an appropriate T-test, whether the prices between the two groups of standards, ISO/IEC and IEEE, differ significantly from a statistical perspective. Keywords: analysis, education, information technology, standardization Paper received: 7.3.2025.Paper accepted: 20.4.2025. Vol. 15 No. 1 (2025): JITA – APEIRON MARIJA KRSТIĆ, LAZAR KRSТIĆ, VALENТINA SТANKOVIĆ IT STANDARDIZATION IN EDUCATION: A COMPARISON OF ISO/IEC AND IEEE STANDARDS PRICE Review paper DOI: https://doi.org/10.7251/JIT2501038K Download Article PDF Abstract Standardization exists in all areas of human activity and is an essential factor in contemporary manufacturing, banking, healthcare, education, and other organizations. Its key role in education is seen in promoting system interoperability through the application of learning technologies, which enables continued development in the field. This paper discusses the standardization regarding the application of information technologies in education, including e-learning. This paper aims to examine, through statistical analysis, specifically by using an appropriate T-test, whether the prices between the two groups of standards, ISO/IEC and IEEE, differ significantly from a statistical perspective. Keywords: analysis, education, information technology, standardization Paper received: 7.3.2025.Paper accepted: 20.4.2025.
COMPARATIVE ANALYSIS OF CONSTRUCTED AND SIMULATION OPTIMIZED YAGI ANTENNAS FOR LORA 868 MHZ COMMUNICATION
Vol. 15 No. 1 (2025): JITA – APEIRON DANIEL MENIĆANIN, JELENA RADANOVIĆ, DRAŽEN MARINKOVIĆ COMPARATIVE ANALYSIS OF CONSTRUCTED AND SIMULATION OPTIMIZED YAGI ANTENNAS FOR LORA 868 MHZ COMMUNICATION Review paper DOI: https://doi.org/10.7251/JIT2501030M Download Article PDF Abstract This paper investigates the impact of antenna design on the performance of LoRa communication systems through experimental and simulation-based analysis of three antenna models: a commercial omnidirectional antenna, a manually constructed Yagi antenna, and a simulation-optimized Yagi antenna, all designed for 868 MHz operation. The study focuses on evaluating critical communication parameters, including received signal strength (RSSI), signal-to-noise ratio (SNR), voltage standing wave ratio (VSWR), and packet loss under real-world conditions over a 2 km line-of-sight rural test range. The results demonstrate that directional Yagi antennas, especially those optimized via electromagnetic simulation tools, significantly outperform omnidirectional models in terms of signal reliability and link efficiency. The findings confirm that the integration of open-source design tools and accessible fabrication technologies enables the development of high-performance antennas suitable for deployment in decentralized, long-range IoT infrastructures. Keywords: 868 MHz, IoT, LoRa, RSSI, SNR, VSWR, Yagi Paper received: 5.5.2025.Paper accepted: 15.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON DANIEL MENIĆANIN, JELENA RADANOVIĆ, DRAŽEN MARINKOVIĆ COMPARATIVE ANALYSIS OF CONSTRUCTED AND SIMULATION OPTIMIZED YAGI ANTENNAS FOR LORA 868 MHZ COMMUNICATION Review paper DOI: https://doi.org/10.7251/JIT2501030M Download Article PDF Abstract This paper investigates the impact of antenna design on the performance of LoRa communication systems through experimental and simulation-based analysis of three antenna models: a commercial omnidirectional antenna, a manually constructed Yagi antenna, and a simulation-optimized Yagi antenna, all designed for 868 MHz operation. The study focuses on evaluating critical communication parameters, including received signal strength (RSSI), signal-to-noise ratio (SNR), voltage standing wave ratio (VSWR), and packet loss under real-world conditions over a 2 km line-of-sight rural test range. The results demonstrate that directional Yagi antennas, especially those optimized via electromagnetic simulation tools, significantly outperform omnidirectional models in terms of signal reliability and link efficiency. The findings confirm that the integration of open-source design tools and accessible fabrication technologies enables the development of high-performance antennas suitable for deployment in decentralized, long-range IoT infrastructures. Keywords: 868 MHz, IoT, LoRa, RSSI, SNR, VSWR, Yagi Paper received: 5.5.2025.Paper accepted: 15.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON DANIEL MENIĆANIN, JELENA RADANOVIĆ, DRAŽEN MARINKOVIĆ COMPARATIVE ANALYSIS OF CONSTRUCTED AND SIMULATION OPTIMIZED YAGI ANTENNAS FOR LORA 868 MHZ COMMUNICATION Review paper DOI: https://doi.org/10.7251/JIT2501030M Download Article PDF Abstract This paper investigates the impact of antenna design on the performance of LoRa communication systems through experimental and simulation-based analysis of three antenna models: a commercial omnidirectional antenna, a manually constructed Yagi antenna, and a simulation-optimized Yagi antenna, all designed for 868 MHz operation. The study focuses on evaluating critical communication parameters, including received signal strength (RSSI), signal-to-noise ratio (SNR), voltage standing wave ratio (VSWR), and packet loss under real-world conditions over a 2 km line-of-sight rural test range. The results demonstrate that directional Yagi antennas, especially those optimized via electromagnetic simulation tools, significantly outperform omnidirectional models in terms of signal reliability and link efficiency. The findings confirm that the integration of open-source design tools and accessible fabrication technologies enables the development of high-performance antennas suitable for deployment in decentralized, long-range IoT infrastructures. Keywords: 868 MHz, IoT, LoRa, RSSI, SNR, VSWR, Yagi Paper received: 5.5.2025.Paper accepted: 15.5.2025.
A HYBRID MODEL BASED ON CHAOS THEORY AND ARТIFICIAL IMMUNE SYSТEMS FOR ТHE ANALYSIS AND CLASSIFICAТION OF SТOCK MARKEТ ANOMALIES
Vol. 15 No. 1 (2025): JITA – APEIRON MARKO M. ŽIVANOVIĆ, EMILIJA KISIĆ A HYBRID MODEL BASED ON CHAOS THEORY AND ARТIFICIAL IMMUNE SYSТEMS FOR ТHE ANALYSIS AND CLASSIFICAТION OF SТOCK MARKEТ ANOMALIES Review paper DOI: https://doi.org/10.7251/JIT2501015Z Download Article PDF Abstract In this paper, a system for analyzing chaotic patterns in financial markets has been developed by combining classical chaos metrics with artificial immune systems for anomaly detection. Implemented indicators include the Lyapunov exponent, correlation dimension, approximate entropy, Hurst exponent, and the distance from a reference Lorenz trajectory. These metrics enable the detection of changes in market stability and predictability over time. An adaptive algorithm inspired by artificial immune systems was developed for identifying anomalous behaviors, adjusting detectors based on detected deviations. The results are presented through a series of interactive visualizations, including 3D plots, time series, and anomaly density maps. In addition to standard analysis, the system supports false alarm detection through controlled parameter variations. This approach provides deeper insights into the complex dynamics of financial markets and can serve as a tool for forecasting periods of instability. Keywords: anomaly detection, artificial immune systems, chaos metrics, financial markets, lorenz attractor, lyapunov exponent Paper received: 4.5.2025.Paper accepted: 25.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON MARKO M. ŽIVANOVIĆ, EMILIJA KISIĆ A HYBRID MODEL BASED ON CHAOS THEORY AND ARТIFICIAL IMMUNE SYSТEMS FOR ТHE ANALYSIS AND CLASSIFICAТION OF SТOCK MARKEТ ANOMALIES Review paper DOI: https://doi.org/10.7251/JIT2501015Z Download Article PDF Abstract In this paper, a system for analyzing chaotic patterns in financial markets has been developed by combining classical chaos metrics with artificial immune systems for anomaly detection. Implemented indicators include the Lyapunov exponent, correlation dimension, approximate entropy, Hurst exponent, and the distance from a reference Lorenz trajectory. These metrics enable the detection of changes in market stability and predictability over time. An adaptive algorithm inspired by artificial immune systems was developed for identifying anomalous behaviors, adjusting detectors based on detected deviations. The results are presented through a series of interactive visualizations, including 3D plots, time series, and anomaly density maps. In addition to standard analysis, the system supports false alarm detection through controlled parameter variations. This approach provides deeper insights into the complex dynamics of financial markets and can serve as a tool for forecasting periods of instability. Keywords: anomaly detection, artificial immune systems, chaos metrics, financial markets, lorenz attractor, lyapunov exponent Paper received: 4.5.2025.Paper accepted: 25.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON MARKO M. ŽIVANOVIĆ, EMILIJA KISIĆ A HYBRID MODEL BASED ON CHAOS THEORY AND ARТIFICIAL IMMUNE SYSТEMS FOR ТHE ANALYSIS AND CLASSIFICAТION OF SТOCK MARKEТ ANOMALIES Review paper DOI: https://doi.org/10.7251/JIT2501015Z Download Article PDF Abstract In this paper, a system for analyzing chaotic patterns in financial markets has been developed by combining classical chaos metrics with artificial immune systems for anomaly detection. Implemented indicators include the Lyapunov exponent, correlation dimension, approximate entropy, Hurst exponent, and the distance from a reference Lorenz trajectory. These metrics enable the detection of changes in market stability and predictability over time. An adaptive algorithm inspired by artificial immune systems was developed for identifying anomalous behaviors, adjusting detectors based on detected deviations. The results are presented through a series of interactive visualizations, including 3D plots, time series, and anomaly density maps. In addition to standard analysis, the system supports false alarm detection through controlled parameter variations. This approach provides deeper insights into the complex dynamics of financial markets and can serve as a tool for forecasting periods of instability. Keywords: anomaly detection, artificial immune systems, chaos metrics, financial markets, lorenz attractor, lyapunov exponent Paper received: 4.5.2025.Paper accepted: 25.5.2025.
RAW AND NOISY FINGERPRINT IMAGE CLASSIFICATION WITH NATURAL LANGUAGE PROCESSING TECHNIQUES AND ENSEMBLE MACHINE LEARNING METHODS
Vol. 15 No. 1 (2025): JITA – APEIRON MILAN PANIĆ, NEMANJA MAČEK, BRANIMIR TRENKIĆ, DANIEL MENIĆANIN RAW AND NOISY FINGERPRINT IMAGE CLASSIFICATION WITH NATURAL LANGUAGE PROCESSING TECHNIQUES AND ENSEMBLE MACHINE LEARNING METHODS Review paper DOI: https://doi.org/10.7251/JIT2501005P Download Article PDF Abstract This paper presents a raw and noisy fingerprint image recognition system based on natural language processing feature extraction methods and ensemble machine learning methods. The main goal of the proposed model is to reach state-of-the-art classification accuracy, even with the noisy images, eliminate false acceptance rates, and cancel the possibility of recreating a fake fingerprint image from a generated template. To achieve this, we omit preprocessing phase such as application of gradient vectors and multiple filter banks that are typically employed in traditional fingerprint recognition systems. Instead, we employ machine learning methods that classify biometric templates as numeric features. The biometric templates are generated by converting raw fingerprint image into a one-dimensional set of fixed-length codes, which then undergoes stylometric extraction of features further being used for classification. The experimental evaluation shows that the system performs as intended. In addition, the computational and storage costs are significantly decreased with respect to traditional systems, which makes it suitable for use in practical applications. Keywords: biometrics, ensemble learning, fingerprint, machine learning, natural language processing, stylometry Paper received: 29.4.2025.Paper accepted: 23.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON MILAN PANIĆ, NEMANJA MAČEK, BRANIMIR TRENKIĆ, DANIEL MENIĆANIN RAW AND NOISY FINGERPRINT IMAGE CLASSIFICATION WITH NATURAL LANGUAGE PROCESSING TECHNIQUES AND ENSEMBLE MACHINE LEARNING METHODS Review paper DOI: https://doi.org/10.7251/JIT2501005P Download Article PDF Abstract This paper presents a raw and noisy fingerprint image recognition system based on natural language processing feature extraction methods and ensemble machine learning methods. The main goal of the proposed model is to reach state-of-the-art classification accuracy, even with the noisy images, eliminate false acceptance rates, and cancel the possibility of recreating a fake fingerprint image from a generated template. To achieve this, we omit preprocessing phase such as application of gradient vectors and multiple filter banks that are typically employed in traditional fingerprint recognition systems. Instead, we employ machine learning methods that classify biometric templates as numeric features. The biometric templates are generated by converting raw fingerprint image into a one-dimensional set of fixed-length codes, which then undergoes stylometric extraction of features further being used for classification. The experimental evaluation shows that the system performs as intended. In addition, the computational and storage costs are significantly decreased with respect to traditional systems, which makes it suitable for use in practical applications. Keywords: biometrics, ensemble learning, fingerprint, machine learning, natural language processing, stylometry Paper received: 29.4.2025.Paper accepted: 23.5.2025. Vol. 15 No. 1 (2025): JITA – APEIRON MILAN PANIĆ, NEMANJA MAČEK, BRANIMIR TRENKIĆ, DANIEL MENIĆANIN RAW AND NOISY FINGERPRINT IMAGE CLASSIFICATION WITH NATURAL LANGUAGE PROCESSING TECHNIQUES AND ENSEMBLE MACHINE LEARNING METHODS Review paper DOI: https://doi.org/10.7251/JIT2501005P Download Article PDF Abstract This paper presents a raw and noisy fingerprint image recognition system based on natural language processing feature extraction methods and ensemble machine learning methods. The main goal of the proposed model is to reach state-of-the-art classification accuracy, even with the noisy images, eliminate false acceptance rates, and cancel the possibility of recreating a fake fingerprint image from a generated template. To achieve this, we omit preprocessing phase such as application of gradient vectors and multiple filter banks that are typically employed in traditional fingerprint recognition systems. Instead, we employ machine learning methods that classify biometric templates as numeric features. The biometric templates are generated by converting raw fingerprint image into a one-dimensional set of fixed-length codes, which then undergoes stylometric extraction of features further being used for classification. The experimental evaluation shows that the system performs as intended. In addition, the computational and storage costs are significantly decreased with respect to traditional systems, which makes it suitable for use in practical applications. Keywords: biometrics, ensemble learning, fingerprint, machine learning, natural language processing, stylometry Paper received: 29.4.2025.Paper accepted: 23.5.2025.
Young Learners’ Use of Google Translate and Glosbe in a Writing Task: A Case Study
Vol. 14 No. 2 (2024): JITA – APEIRON Mirela Simić Young Learners’ Use of Google Translate and Glosbe in a Writing Task: A Case Study Review paper DOI: https://doi.org/10.7251/JIT2402178S Download Article PDF Abstract The aim of this study was to examine the use of digital translation tools by near-beginner adolescent foreign language learners and their beliefs about the potential of these tools for language learning. A group of 15 participants, aged 13 and 14, enrolled in a German language course at a language studio, completed a writing task using the Google Translate and Glosbe tools. Semi-structured interviews provided insight into their usage of these tools and revealed contrasting beliefs. Some learners, in favor of using digital translation tools in language classes, argued that the tools facilitated communication and helped them acquire new vocabulary, conjugation patterns, and syntax. In contrast, others expressed that they had learned little, were critical of translating entire texts, and were concerned about becoming dependent on the tools and developing a false sense of competence. The lack of reflexivity and the challenges faced by some students underscore the importance of providing guidance and support to learners at this stage when using digital translation tools. Keywords: digital tools, machine translation (MS), online dictionary, language teaching, foreign language learners Paper received: 19.11.2024.Paper accepted: 21.11.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Vladimir Radovanović, Olja Krčadinac, Jasmina Perišić, Marina Milovanović, Željko Stanković Comparison Of Agile And Devops Methodologies: Analysis Of Efficiency, Flexibility, And Application In Software Development Review paper DOI: Https://Doi.Org/10.7251/JIT2401078R Download Article PDF Abstract This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today’s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering. Keywords: Agile Methodology, DevOps Methodology, Software Engineering, Comparative Analysis, Software Development Paper received: 19.11.2024.Paper accepted: 21.11.2024. Vol. 14 No. 2 (2024): JITA – APEIRON Mirela Simić Young Learners’ Use of Google Translate and Glosbe in a Writing Task: A Case Study Review paper DOI: Https://Doi.Org/10.7251/JIT2402178S Download Article PDF Abstract The aim of this study was to examine the use of digital translation tools by near-beginner adolescent foreign language learners and their beliefs about the potential of these tools for language learning. A group of 15 participants, aged 13 and 14, enrolled in a German language course at a language studio, completed a writing task using the Google Translate and Glosbe tools. Semi-structured interviews provided insight into their usage of these tools and revealed contrasting beliefs. Some learners, in favor of using digital translation tools in language classes, argued that the tools facilitated communication and helped them acquire new vocabulary, conjugation patterns, and syntax. In contrast, others expressed that they had learned little, were critical of translating entire texts, and were concerned about becoming dependent on the tools and developing a false sense of competence. The lack of reflexivity and the challenges faced by some students underscore the importance of providing guidance and support to learners at this stage when using digital translation tools. Keywords: digital tools, machine translation (MS), online dictionary, language teaching, foreign language learners Paper received: 19.11.2024.Paper accepted: 21.11.2024.
Revitalisation of Old Hydraulic Press Brake Machines Through Novel Software Solutions
Vol. 14 No. 2 (2024): JITA – APEIRON Daniel Menićanin, Jelena Radanović, Nikola Račić, Branimir Trenkić Revitalisation of Old Hydraulic Press Brake Machines Through Novel Software Solutions Review paper DOI: https://doi.org/10.7251/JIT2402169M Download Article PDF Abstract In the era of Industry 4.0, the modernization of traditional machines has become crucial for maintaining competitiveness and enhancing production capacities. Hydraulic CNC press machines manufactured in the Balkans, particularly in the former Yugoslavia, renowned for their robustness and reliability, are increasingly falling behind in terms of the technological innovations required to meet modern production demands. Rather than being replaced by expensive new machines, this paper presents a transformative approach to the digital upgrade of existing systems. By employing advanced software solutions and novel control methods, older presses are converted into high-precision, intelligently managed machines capable of automatically adjusting operating parameters according to material and task specifications. This system not only significantly reduces operational costs but also extends the lifespan of these machines, increases production speed and minimizes errors. The core innovation of the system is its adaptability, enabling continuous evolution and seamless integration of new technological advancements without requiring substantial investments in entirely new equipment. This paper offers a vision of the future where digital transformation allows traditional machines to become part of smart, interconnected production lines. Keywords: Hydraulic Press Brake Machine; ESP32; NodeMCU; Desktop Application; C# .NET; WPF Paper received: 27.10.2024.Paper accepted: 21.11.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Vladimir Radovanović, Olja Krčadinac, Jasmina Perišić, Marina Milovanović, Željko Stanković Comparison Of Agile And Devops Methodologies: Analysis Of Efficiency, Flexibility, And Application In Software Development Review paper DOI: Https://Doi.Org/10.7251/JIT2401078R Download Article PDF Abstract This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today’s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering. Keywords: Agile Methodology, DevOps Methodology, Software Engineering, Comparative Analysis, Software Development Paper received: 27.10.2024.Paper accepted: 21.11.2024. Vol. 14 No. 2 (2024): JITA – APEIRON Daniel Menićanin, Jelena Radanović, Nikola Račić, Branimir Trenkić Revitalisation of Old Hydraulic Press Brake Machines Through Novel Software Solutions Review paper DOI: Https://Doi.Org/10.7251/JIT2402169M Download Article PDF Abstract In the era of Industry 4.0, the modernization of traditional machines has become crucial for maintaining competitiveness and enhancing production capacities. Hydraulic CNC press machines manufactured in the Balkans, particularly in the former Yugoslavia, renowned for their robustness and reliability, are increasingly falling behind in terms of the technological innovations required to meet modern production demands. Rather than being replaced by expensive new machines, this paper presents a transformative approach to the digital upgrade of existing systems. By employing advanced software solutions and novel control methods, older presses are converted into high-precision, intelligently managed machines capable of automatically adjusting operating parameters according to material and task specifications. This system not only significantly reduces operational costs but also extends the lifespan of these machines, increases production speed and minimizes errors. The core innovation of the system is its adaptability, enabling continuous evolution and seamless integration of new technological advancements without requiring substantial investments in entirely new equipment. This paper offers a vision of the future where digital transformation allows traditional machines to become part of smart, interconnected production lines. Keywords: Hydraulic Press Brake Machine; ESP32; NodeMCU; Desktop Application; C# .NET; WPF Paper received: 27.10.2024.Paper accepted: 21.11.2024.
Improving Trust in Information Sources: Serbian Wikipedia Use Case
Vol. 14 No. 2 (2024): JITA – APEIRON Dragana Dudić, Nebojša Ratković, Ivana Firaunović, Olja Krčadinac Improving Trust in Information Sources: Serbian Wikipedia Use Case Review paper DOI: https://doi.org/10.7251/JIT2402160D Download Article PDF Abstract For almost two decades, Wikimedia Serbia has active collaboration with educational institutions in Serbia, promoting Wikipedia to young people, training and encouraging them to create and edit Wikipedia with special focus on Wikipedia trust concepts as the important factor of every information source. This paper presents our findings on the current level of students’ understanding of trust mechanisms in information sources and examines the impact of conducted targeted educational intervention on this domain. This study was conducted as part of the collaboration between Wikimedia Serbia, the Faculty of Computer Science and Informatics at Union Nikola Tesla University, and Šabac Grammar School. We used structured questionnaires to determine the initial state of trust mechanisms awareness in students. After analyzing the obtained results, we organized instructional session which included comprehensive lectures on Wikipedia, its structure, rules and its editing process. Afterwords, students selected Wikipedia-related assignments aligned with their course interests. The follow-up questionnaire revealed great improvement in correct referencing and licensing usage, in both educational institutions emphasizing the importance of proper referencing and licensing as trust mechanism and its influence in digital literacy in general. Keywords: digital literacy, higher education, secondary education, technology integration in education, Wikipedia Paper received: 31.10.2024.Paper accepted: 18.11.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Vladimir Radovanović, Olja Krčadinac, Jasmina Perišić, Marina Milovanović, Željko Stanković Comparison Of Agile And Devops Methodologies: Analysis Of Efficiency, Flexibility, And Application In Software Development Review paper DOI: Https://Doi.Org/10.7251/JIT2401078R Download Article PDF Abstract This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today’s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering. Keywords: Agile Methodology, DevOps Methodology, Software Engineering, Comparative Analysis, Software Development Paper received: 31.10.2024.Paper accepted: 18.11.2024. Vol. 14 No. 2 (2024): JITA – APEIRON Dragana Dudić, Nebojša Ratković, Ivana Firaunović, Olja Krčadinac Improving Trust in Information Sources: Serbian Wikipedia Use Case Review paper DOI: Https://Doi.Org/10.7251/JIT2402160D Download Article PDF Abstract For almost two decades, Wikimedia Serbia has active collaboration with educational institutions in Serbia, promoting Wikipedia to young people, training and encouraging them to create and edit Wikipedia with special focus on Wikipedia trust concepts as the important factor of every information source. This paper presents our findings on the current level of students’ understanding of trust mechanisms in information sources and examines the impact of conducted targeted educational intervention on this domain. This study was conducted as part of the collaboration between Wikimedia Serbia, the Faculty of Computer Science and Informatics at Union Nikola Tesla University, and Šabac Grammar School. We used structured questionnaires to determine the initial state of trust mechanisms awareness in students. After analyzing the obtained results, we organized instructional session which included comprehensive lectures on Wikipedia, its structure, rules and its editing process. Afterwords, students selected Wikipedia-related assignments aligned with their course interests. The follow-up questionnaire revealed great improvement in correct referencing and licensing usage, in both educational institutions emphasizing the importance of proper referencing and licensing as trust mechanism and its influence in digital literacy in general. Keywords: digital literacy, higher education, secondary education, technology integration in education, Wikipedia Paper received: 31.10.2024.Paper accepted: 18.11.2024.