JITA - APEIRON

Raw and Noisy Fingerprint Image Classification with Natural Language Processing Techniques and Ensemble Machine Learning Methods

2025-06-24T14:07:18+02:00

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.

A Hybrid Model Based on Chaos Theory and Artificial Immune Systems for the Analysis and Classification of Stock Market Anomalies

2025-06-24T14:15:57+02:00

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.

Comparative Analysis of Constructed and Simulation Optimized Yagi Antennas for LoRa 868 MHz Communication

2025-06-24T14:25:21+02:00

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.

IT Standardization in Education: A Comparison of ISO/IEC and IEEE Standards Price

2025-06-24T14:50:32+02:00

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.

Energy Efficiency as a New Paradigm in Software Engineering

2025-06-24T14:57:50+02:00

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.

The Role of Artificial Intelligence in Modern Information Systems Design: A Systematic Review

2025-06-24T15:47:39+02:00

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.

Current Experiences in the Application of the Internet of Things in the Food Industry, Review

2025-06-24T15:54:04+02:00

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.

Internet and Digital Propaganda: Social Media

2025-06-24T15:59:55+02:00

The development of modern digital communications, the Internet and the World Information Network at the end of the 20th and the beginning of the 21st century brought enormous development and progress in propaganda communications in all spheres of human society. Propaganda in digital media has been studied since the early days of the Internet and various digital platforms, which led to the emergence of completely new media specific to this area of communication, and a completely new way of producing and disseminating various types of propaganda content. Based on a discussion of key concepts and terminology, this review paper describes how new ways of deception and source obfuscation are emerging and spreading in digital and social media environments, and how these developments complicate the understanding and impact of propaganda on modern human life. The paper concludes with the assertion that the modern challenges of detecting and countering covert propaganda can only be solved if all actors of social life in the public sphere of social media are considered responsible and provide the necessary support for checking published information.