Software Solutions Research Articles

Software Solution for Monitoring the Level of Fatigue of Air Traffic Controllers

The work developed a software solution for monitoring the level of fatigue of air traffic controllers using expert opinion. For constructing a software solution, a nine-step algorithm for hybrid assessment of the air traffic controllers’ fatigue level was developed for the first time. For the first time, a software solution for monitoring air traffic controllers' fatigue levels was constructed using the TypeScript programming language and the React library. At the output, a generalized quantitative assessment and linguistic complex level of fatigue of air traffic controllers is obtained. If significant fatigue is detected, the software solution automatically notifies the decision-making person (DM), allowing timely action, such as suspending the dispatcher from work and replacing him. Algorithmic support and software were tested and configured based on accurate data, where the participants of the experiments were students of the Aviation Faculty of the Technical University in Košice. The study uses modern methods such as fuzzy set theory, expert evaluation, intelligent data analysis, and pattern recognition, which improves the accuracy of determining air traffic controllers' fatigue level. The advantage of the development lies in the combination of technical data from video surveillance and expert assessments. With the ability to adjust the settings levels, the software is suitable for both civil and military aviation, making it versatile in application.

Introducing ReChat: A Lab-in-the-Cloud for Text Discussions

Abstract Text is a major medium of contemporary interpersonal communication but is difficult for social scientists to study unless they have significant resources or the skills to build their own research platform. In this paper, we introduce a cloud-based software solution to this problem: ReChat, an online research platform for conducting experimental and observational studies of live text conversations. We demonstrate ReChat by applying it to a specific phenomenon of interest to political scientists: conversations among co-partisans. We present results from two studies, focusing on (1) self-selection factors that make chat participants systematically unrepresentative and (2) a pre-registered analysis of loquaciousness that finds a significant association between speakers’ ideological extremity and the amount they write in the chat. We conclude by discussing practical implications and advice for future practitioners of chat studies.

Applied fault diagnosis with distributed monitoring systems: Bridging theory with practice

We address the feasibility of the pragmatic implementation of monitoring systems for real-time distributed fault diagnosis in complex processes. We delve into the integration of theoretical distributed estimation methods and practical distributed embedded systems. This study emphasizes the merger of distributed computing and signal processing to augment fault diagnosis in dynamic systems. We introduce a generic mathematical model for distributed fault diagnosis algorithms, laying the groundwork for a reference network computing architecture that details the essential components, organization, and operational characteristics necessary for distributed monitoring systems. Subsequently, we evaluate existing software and hardware solutions that facilitate the realization of these systems. The theoretical framework and system design are empirically validated through an experimental setup involving a liquid-level control system, demonstrating the efficacy and applicability of our approach.

Algorithm for Analyzing the Ethereum Network Blockchain to Detect Illegal Activities

This work is devoted to the research of the blockchain network, in particular, aimed at detecting illegal activity in the Ethereum network using forensic methods. The paper describes the concepts and basic vulnerabilities related to the Ethereum network and the integration of graph analysis to develop an algorithm that scrutinizes Ethereum's transaction structure for illegal activities, including money laundering. In addition, the study includes an analysis of the very structure of Ethereum and the blockchain, which allows insight into the identification and analysis of various aspects of their functioning. The research results are used for the software implementation of the study and improvement of the security level of the blockchain network, including the creation of advanced software solutions for network analysis and protection of the integrity of the blockchain ecosystem. This integrated methodology aims to protect the integrity of blockchain ecosystems.

System of Monitoring the Financial Activity of the Enterprise

Monitoring of financial activity is one of the key functions of enterprise management, because it, in particular, ensures control of current costs and income; contributes to the analysis of the financial state of the enterprise; supports planning of future financial flows. The purpose of the article is the research of information systems for monitoring the financial activity of enterprises, the identification of problems of financial activity, the analysis of the ways of using the appropriate software and the development of the system for monitoring the financial activity of enterprises. The research methods are the main methodological approaches and technological tools for the development of financial monitoring systems. Such methods, in particular, are: systematic and comparative analyzes – to identify the peculiarities of the creation of systems for monitoring the financial activity of enterprises; the method of expert assessments, which involves the analysis of literary sources and information resources, conducting interviews and surveys of experts, as well as the processes of development and testing of scalable and high-performance financial monitoring systems. The novelty of the research is the creation of a complex system for monitoring financial activity, which includes an intuitive interface, a flexible database and the ability to generate various reports, giving users the opportunity to effectively manage their financial data, simplifying the process of entering, editing and analyzing information through the use of a stack of modern technologies. The conclusion of the research carried out in the article is that the work was: identified the main problems of monitoring the financial activity of enterprises, which are solved with the help of modern financial monitoring systems; an analysis of existing software solutions was carried out; the advantages and disadvantages of the existing software for monitoring the financial activities of enterprises were analyzed; the main so-called «bottlenecks» of the automation of financial monitoring, which need to be solved, have been identified. On the basis of the conducted analysis, an author’s system for monitoring the company’s financial activity was developed, focused on ease of use and efficiency of financial data management. The development of the software of the author’s system included: the selection of the appropriate technological stack; system architecture development; implementation of basic functional modules (for example, such as transaction management, categories and reports); system database development; system interface development. The results of the conducted research open up new opportunities for improving financial management and making informed decisions based on the received data.

Sustainable Packaging Solutions: Food Engineering and Biodegradable Materials

In modern, fast-paced lifestyles, food containers have become a popular solution for quick meals; however, they have significantly contributed to the increase in plastic packaging waste, which poses a substantial environmental risk. The prevalent use of non-biodegradable plastic containers exacerbates plastic pollution, contradicting government regulations designed to reduce plastic usage and promote sustainability. To address these issues, this study integrates TRIZ, ergonomics, inherent safety, and universal design methodologies, with an emphasis on sustainability. First, the technical contradiction matrix from TRIZ is applied to identify parameters for improvement without inducing negative side effects. Ergonomics principles ensure the development of user-friendly designs, while inherent safety and universal design approaches aim for accessibility and full biodegradability. Through a systematic innovation design process, this research proposes a biodegradable food container capable of decomposing entirely into particles and water within one month, blending naturally with the soil without compromising functionality. Moreover, the container incorporates a quick-alignment mechanism and an intuitive sealing design that ensures airtightness and spill prevention. As a result, the product not only meets user demands but also addresses pressing environmental concerns, aligning with global sustainability goals.

Accelerating Precision: Using AI to Fine-Tune Workout Form and Motion Speed

This is an extension of the paper that we published earlier on AI for workout Form Optimization. In the earlier paper, we presented a software solution for workout form optimization using joint angles. Just like the effectiveness of the workout is in the precision of the body form, it also gets hugely impacted by the workout speed, i.e., muscle contraction and relaxation speed. This paper covers a software solution that can be used to give users feedback on their workout speed for specific workout exercises. It uses computer vision and artificial intelligence libraries. The sample implementation is provided on GitHub GitHub - pythonioncoder/Fit-Form-AI. Keywords— Pose Detection AI Libraries, Media pipe, AI Programming, Computer Vision, Artificial Intelligence, Fit Form AI

Comprehensive Smart Mess Management Web Platform

The Mess Management System is an innovative software solution designed to automate the manual process of managing mess-related activities such, inventory management, and billing. The system is developed using PHP as the programming language and MySQL as the database management system. The primary objective of this system is to reduce the workload on mess staff, increase efficiency, and reduce errors in the mess management process. This research paper focuses on the design and implementation of the Mess Management System and its impact on college hostel mess management. This is a cost- effective, efficient, and user-friendly software solution that automates the manual mess management process. The system can be customized to cater to the specific needs of different institutions and can significantly reduce the workload on mess staff. The system's scalability, flexibility, and ease of use make it a promising solution for college hostel mess management. However, further research can be carried out to address the system's limitations, such as the need for regular maintenance and the requirement of technical expertise.

ANALYSIS OF SYSTEMS FOR RECOGNIZING POLITICAL EXTREMISM IN ONLINE SOCIAL NETWORKS

this article examines the rapid growth of online social networks and their role in the proliferation of harmful and extremist content. Referencing the Global Digital 2023 report, it highlights the increasing global use of social media, with nearly 60% of the population actively engaged. While social media offers many benefits, it has also become a platform for spreading dangerous ideologies, including terrorism, cyberbullying, and extremist political movements. The article explores how extremist groups exploit social media to spread propaganda, recruitfollowers, and incite violence, often bypassing platform restrictions through tactics like using trending hashtags or creating new usernames. The article also addresses the challenges in identifying and categorizing extremistcontent, pointing out issues such as unreliable datasets, the lack of automated verification systems, and biases in research. It reviews the field of research focused on detecting extremist material, including tools for analyzing violent videos and extremist texts. Additionally, the article discusses the various forms of extremism found in Kazakhstan—political, national, and religious—and how these ideologies are amplified online. It notes the limitations of current extremism research, such as data imbalances and methodological differences, which hinder accurate analysis. Finally, the article advocates for the development of advanced software solutions to more effectively identify and mitigate extremist content, thereby contributing to global efforts to combat online extremism and enhance national security.

Assessing consumer perceptions of sustainable packaging solutions

ABSTRACT Consumer concerns about food and plastic packaging waste have led government and industry to seek alternatives prioritizing the environment while keeping safety, quality, shelf-life, and price. These consumer concerns were examined with a focus on fabrication technologies, current and proposed applications, and consumer acceptance of edible coatings, biodegradable packaging, and nanomaterials. A survey (N = 441) analyzed responses by subpopulations (generation, location, education level, and food-related careers). Consumers prioritize quality (95%), price (83%), and nutritional value (74%), but willingness to consume and pay extra for them varied by generation and location. Younger consumers showed openness to new technologies, indicating an attractive potential niche market for edible coatings. Positive comments highlighted environmental, health, and shelf-life benefits, while concerns include aversion towards new technologies and health risks. Biodegradable packaging is widely accepted, presenting business opportunities to meet sustainable demands, though cost and quality worries remain. Addressing these concerns is crucial for broader adoption.

Review: The potential of nanocellulose composites for sustainable food packaging applications

AbstractThis work addresses the innovative use of nanocellulose (NC) as an environmentally friendly and sustainable substitute for conventional food packaging made of polymers. The review delves into the synthesis approaches of NC/polymer‐mixed composites. The characterization of these composites is discussed, highlighting their mechanical properties, biodegradability, and characteristics of a barrier toward oxygen, moisture, and oil resistance. The review further explores the development of active packaging, which utilizes NC's capacity to preserve and release active ingredients like antioxidants and antimicrobials to lengthen the amount of time that food supplies can be stored. The evolution of intelligent and smart packaging is also explored, showcasing how NC‐based packaging can incorporate indicators for freshness, temperature, pH, and spoilage, offering customers and retailers knowledge accessibility in real time. The opportunities and problems facing NC in food packaging are discussed, and the need for more study and advancement is highlighted to reach its full potential. For those interested in sustainable food packaging solutions, researchers, business professionals, and policymakers will find this thorough review to be highly insightful.Highlights It covers examples of polymer composites filled with NC. Mention the preparation methods and characterization of NC‐based composites. Highlight the promising areas of NC/polymer composite applications in smart food packaging Concludes the challenges and prospects of NC composite in food packaging.

Enset starch-based biocomposite film reinforced with Ethiopian bentonite clay: Improved mechanical and barrier properties.

Improper disposal of traditional plastics leads to the generation of microplastics, resulting in severe pollution of land and oceans and posing a threat to human health and marine ecosystems. Hence, adopting eco-friendly bioplastics, particularly in food packaging, is essential. In this study, Enset starch-based biocomposite films, reinforced with Ethiopian bentonite clay at various ratios (0, 2.5, 5, 7.5 and 10 % w/w) were prepared using solvent casting method. The effect of bentonite clay on biocomposite films on structural, physicochemical, and morphological properties were analyzed. Characterization tests confirmed the even distribution of bentonite, strengthening of bonds, and enhancement of the biocomposite film properties. The biocomposite film with 5 wt% bentonite clay incorporation into enset starch exhibits optimal performance; maximum strength (increased by 132 %), less water solubility (reduction in 33 %), reduction in water vapor permeability (decreased by 42 %), and better compatibility in the morphologies attributed by the intercalated silicate layer. This study highlights the effectiveness of bentonite clay in enhancing enset starch biocomposite properties, offering a promising eco-friendly solution for biodegradable food packaging and promoting sustainable resource utilization.

ПРОГРАМНА РЕАЛІЗАЦІЯ МЕТОДІВ АНАЛІЗУ ТА НОРМОКОНТРОЛЮ ТЕКСТОВИХ ТЕХНІЧНИХ ЗВІТІВ

The paper provides a solution to the problem of software implementation of methods of analysis and standard control of textual technical reports in docx format to check their compliance with given standards. The proposed solution uses .NET, WPF and DocumentFormat.OpenXml technologies are used to check the correctness of page formatting, the consistency of styles, the presses, and compliance of page parameters with standards (A4, Letter). Administrators are also allowed to flexibly configure the sequence of styles using the “before” and “after” parameters. One of the key features of the implementation is the optimization of the size of the program, which allowed it to reduce its size by more than 50% without losing functionality, which ensures high productivity and efficiency. All detected inconsistencies are recorded in a report file for further analysis. The software solution simplifies the process of document verification, improves the quality of documents, and contributes to the standardization of reporting in organizations, reducing the time and resources required. The results of the work demonstrate that an automated approach to document verification can significantly improve the quality of data processing and facilitate documentation management, contributing to the further development of computer engineering and optimization of work processes. Key words: Text analysis; Document analysis; Standard control of documents; MS Word; Docx.

Trends in Food Science & Technology Probiotic-incorporated active packaging solutions for meat and meat products: a review of benefits and recent applications

Trends in Food Science & Technology Probiotic-incorporated active packaging solutions for meat and meat products: a review of benefits and recent applications

Development and Implementation of a “Real Estate Web Application” for Modern Web Application

A real estate management system is one of the modern software solutions developed to keep up and improve on the management and operating process within the real estate industry. Real estate is one of the fastest-growing industries on a global level and thousands of properties are issued every day, which calls for effective automation in some property management activities. REMS has solutions to all these issues in the very complete system platform that encompasses various aspects of property management, such as placement, tenant management, tracking of finances, and scheduling of maintenance. All these are brought together by the most advanced technologies, namely cloud computing, artificial intelligence, and data analytics, when forming a strong and user-friendly system for the real estate professional. Generally, it provides a database core that allows instant access to information regarding properties which can make communication and collaboration between parties in the management of property ownership-owners, managers, tenants, and service providers-well easier. Its easy-to-use interface gives the user the ability to deal most efficiently with property listings, tenant information, rental payments, financial reports generation, and requests for maintenance. The main elements of the system include an intelligent listing module that enables real estate agents to give detailed descriptions, images, and pricing information about their property listings. Management of tenants through a specific module ensures effective onboarding while still regulating managerial management of rental agreements, rent collection, and other communications with tenants. REMS also incorporates a full-scale financial tracking component. In the case of rent calculation, it would further advance into generating invoices and track expenses and offer detailed financial reports.

VALIDATION OF DYNAMIC MESSAGE VARIANT IN ADAPTIVE LOGGING METHOD

Technology, and software technology in particular, is one of the main drivers of progress in human society. It allows us to solve existing tasks more efficiently and find solutions for problems that were previously too complex to deal with. The outreach and importance of its influence on everyday life is hard to overstate. To be able to satisfy ever-growing demand software solutions become more complex and sophisticated, reaching millions users and solving numerous day to day tasks. But as a result new challenges appear, especially related to cybersecurity. And it is not only about integrity, availability and confidentiality aspects, but also – equally important – about control and observability. As the scale of software systems grows more and more, tracking their state and behavior becomes more challenging. This research takes a closer look at observability aspect of cybersecurity, in particular at adaptive logging method for software systems and its dynamic message variant which introduced the ability to have dynamic computations executed before outputting observational information about the system. The flexibility it introduces also makes possible for undesirable side effects to occur as the dynamic nature of such messages allows for execution of virtually any valid code samples. The main purpose of this work is to demonstrate a solution that would allow validation and prevent unwanted code execution. To achieve this an approach that uses analysis of abstract syntax trees with JSON-based validation logic is demonstrated. The natural tree-like structure of ASTs, as well as close resemblance between generated representation and JSON-schemas, allows for precise and easily configurable processing that reduces the possibility of unexpected behaviors. The integration into an existing formal basis of adaptive logging method is also demonstrated with provided justification for required additions and their specifics.

DEVELOPMENT OF A NATURAL LANGUAGE PROCESSING TOOL FOR SOLVING THE APPLICATION PROBLEM OF EXTRACTING STATISTICAL DATA FROM TEXT

Text analytics is used to explore textual content and obtain new variables from raw text, which can be used as input data for forecasting models or other statistical methods, including for solving fun-damental problems. The purpose of the research: to analyze machine learning algorithms, practical developments in this field and to develop an integrated software instrument for text processing, us-ing the structure of the algorithm, based on the BasicStats, ReadabilityStats, SovChLit libraries, al-lowing to extract statistics from raw texts of large volumes in Russian. A method of extracting sta-tistical data from raw texts of large volumes based on machine learning and natural language pro-cessing in Python has been implemented, with the possibility of embedding it into other projects. A software instrument that use the functionality of textary library adapted for Russian language was developed, which allows to work with both texts and Doc-objects generated with spaCY library. The study was conducted using real text data collected from the information and news portal for the Samara region «63.ru» (in the context of the implementation of the conceptual project «Data Farm» by the artificial intelligence research laboratory). The developed software for extracting statistical data from text allows analyzing large volumes of text data and extracting useful information from them. It can be integrated into other software solutions as one of the linking modules in the of code optimization chain for text data processing programs.

Redefining Packaging Solutions: The Advantages of Split-layer Packaging for Waste Reduction and Climate Action

The widespread use of multilayer packaging in industries such as food, beverages, pharmaceuticals, and cosmetics is driven by its ability to provide superior protection against environmental factors. However, the complex composition of multilayer packaging, involving bonded layers of different materials, presents substantial challenges for recycling, leading to low recycling rates and significant landfill accumulation. This study explores the potential of double packaging, which employs easily separable layers, as a solution to enhance recycling efficiency and mitigate environmental impacts. Primary recycling methods, including mechanical and chemical processes, are examined alongside advanced techniques like solvent-based and enzymatic recycling. Design considerations for double packaging are analyzed, emphasizing the use of minimal materials and adhesives, strategic sealing, and clear labeling to facilitate recyclability. Case studies from the food, beverage, and cosmetics sectors highlight the practical benefits of double packaging, demonstrating improvements in recycling rates, cost-effectiveness, and consumer compliance. The findings suggest that double packaging significantly simplifies the recycling process, reduces dependency on landfills, and lowers greenhouse gas emissions by decreasing the need for virgin materials. Effective implementation requires industry collaboration, regulatory support, economic incentives, investment in innovative recycling technologies, and robust consumer education programs. Double packaging emerges as a viable strategy for advancing sustainable packaging solutions and promoting a circular economy.

Алгоритмизация курса начертательной геометрии как дидактическая основа обучению информационной технологий

This article discusses the principles of creation and development of new content for the courses "Descriptive geometry" and "Engineering computer graphics" of algorithmic and software solutions for graphic problems used in computer modeling applied to the training of students of pedagogical specialties on the basis of new information technologies. The article also tells about the successful solution of the most common geometric problems by students and their solution in an interactive mode. The reason is that the input of graphic information into the computer is carried out only using algorithms. Also, the algorithmization of graphic constructions should become an integral part of the new technology of teaching at the university in the course of graphic disciplines, which should be didactics-the practical basis for using a computer in the educational process as a means of teaching graphic disciplines.

Tailoring Synergistic Polylactic Acid–Based Nanocomposites for Sustainable Antimicrobial Fruit Packaging

ABSTRACTThe rising demand for sustainable and antimicrobial packaging materials has fuelled innovations in polymer‐based solutions, especially in the preservation of fresh fruit to reduce food waste and enhance food safety. This review delves into the advancement and refinement of nanocomposites based on polylactic acid (PLA) for sustainable antimicrobial fruit packaging, emphasising the synergistic effects of combining PLA with nanofillers and antimicrobial agents, such as metal and metal oxide nanoparticles, plant extracts and essential oils (EOs) and carbon nanomaterial. By elucidating the synergistic effects that emerge from these combinations, this review examines the ability to enhance mechanical and antibacterial properties of PLA, followed by a review of the recent changes in sustainable fruit packaging solutions that integrate technological features and environmental considerations. Ultimately, this review provides a comprehensive overview of the advancements in PLA‐based antimicrobial packaging, offering insights on the environmental benefits of integrating antimicrobial functionality into PLA‐based materials and the future of sustainable packaging for fruit preservation.