Field Of Information Technology Research Articles

A two-tier database architecture framework for combating cyber threats

The 21st century has witnessed a lot of advancements in science and technology. One may not be wrong to assert that the field of Information and Communications Technology (ICT) and its allied disciplines like Artificial Intelligence (AI) and Nanotechnology have taken the lead as we witness new developments in these areas year by year. The products and services we utilize and enjoy are evidence of the usefulness of this advancement in science and technology. It is worthy of note that the interest of many (both good and bad in the discipline of ICT), is being ignited by the fact that ICT finds its applicability virtually in every area of human endeavor. In this study, we propose a two tier database architecture that employs an Object-Oriented Analysis Design Methodology (OOADM) using the Unified Modelling Language (UML). The choice of this methodology is because we need to present every stage of the study from analysis to the design phases. With the help of the chosen methodology, we analyzed the existing frameworks, identified the weaknesses, and as a result, we further surveyed algorithms used for reliable data security. From the results obtained from the survey, we employed the SHA-256 algorithm because of its strength in data security, and the Argon2 hashing algorithm which is one of the best algorithms for securing database credentials. In the end, we provide an enhanced framework made up of the chosen algorithms and a two-dimensional database (2-DDb), which could be implemented to effectively combat attacks on important databases.

A Comprehensive Study of Datasets for Research Works in IoT Networks

Internet of Things is a trending subject in the field of Computer Science and Information Technology. When a research scholar tries to find a problem statement in the arena of IoT, he or she probably Google the phrase “Security Issues in Internet of Things”. On this day August 22, 2024, when we searched the Google with this phrase, we got about 48,40,00,000 results in 0.46 seconds. When we searched Google Scholar with the same phrase, we got about 40,70,000 results (0.52 sec). This shows that lakhs of researchers are toiling to find solutions for Security Issues in IoT. There is a new and trending way of research that is finding solutions for issues in IoT using Machine Learning and Deep Learning Models. ML and DL algorithms need large sets of Data to train and test the algorithms. This made us to take up a study on available Datasets for this research topic. When we made review of literature, in this arena of study, we found that researchers are working on only a few datasets, though numerous datasets are available freely on the internet for academic purposes. Hence in this paper we made a comprehensive study of Datasets available for research works in Internet of Things.

INTERFACES BETWEEN THE LANCASTER METHOD AND DISTANCE LEARNING IN BRAZIL: HISTORY, CONCEPTS AND PERSPECTIVES

This paper covers the fields of Information and Communication Technology and History of Education, aiming to present the interfaces between the mutual/lancasterian method instituted in the Brazilian Imperial period, with the Distance Education (EaD) model adopted today in Brazil. The methodology, based on a qualitative approach, was structured based on a systematic review of the literature and legal documents that were fundamental to weave the interfaces and reveal the similarities and differences between the two education models. The analyses were structured in light of the Vygotskian historical-cultural conception and sought to present new subsidies for the deepening of the field of studies on technologies and the history of Brazilian education. Based on the systematization of the documents, it was possible to describe, highlight and justify, in a critical way, the evolution and arrival of the Lancasterian method in Brazil, its main characteristics and the reasons why the Crown instituted it as mandatory in its provinces. It was also found that the historical and sociological motivations that impacted the growth of distance education in the country. Based on the surveys carried out, similar points were found between the foundations of both teaching modalities and the justifications for their implementation.

Container migration for edge computing in industrial Internet with joint latency reduction and reliability enhancement

Edge computing has emerged as a prominent trend in the field of information technology, offering flexible and robust resources for the industrial Internet. How to migrate container accurately is crucial for edge computing in the industrial Internet, as it plays a vital role in enhancing service response speed and safeguarding uninterrupted continuity of production operations. In this paper, we explore the problem of container migration in edge computing within the industrial Internet, aiming to reduce latency and enhance reliability. We establish a two-objective optimization model to comprehensively capture the container migration problem and formulate it as a constrained optimization model. The formulated model provides a systematic framework that effectively balances the trade-off between reducing latency and enhancing reliability. To tackle the migration strategy derived from the optimization model, we propose a migration algorithm based on the improved binary whale optimization algorithm. Our migration algorithm incorporates the adaptive probability and adaptive position weight within the hunting and searching operations, effectively enhancing the search efficiency during the solving process. The experimental results demonstrate the effectiveness of the established model in reducing the objective value, while the proposed migration algorithm surpasses existing algorithms by achieving an average reduction of at least 15.59% in the objective value.

ADDON FOR BLENDER3D. AUTOMATION OF THE OBJECT TEXTURING PROCESS

Abstract. Today, the use of 3D visualization technologies is one of the key directions in the field of information technologies. The 3D direction has become extremely popular in many fields, such as architecture, interior design, game industry, medicine, automotive and other fields. This method opens up new opportunities for perception and interpretation of information, adding it to a three-dimensional virtual space. The topic of the research work is the creation of a software module (addon) for the Blender3D program, which will provide the user with a library of ready-made materials, divided by categories. This addon has similar functionality to Substance Painter and Quixel Mixer, the main functions of which are to create and adjust materials and textures for imported ready-made 3D models. The addon has its own name "QuickShader" and will provide the user with 8 shaders and 35 PBR materials. Throughout the development of the project, the Waterfall life cycle model was used, stability and a clear structure were put first, which helped to efficiently work through each step of creating an addon for the Blender program. In the conclusion to the scientific work, it can also be noted that the development of a software addon for Blender3D, which includes a library of shader operators and PBR materials, will greatly facilitate the work of users when assigning textures to objects on the scene. A library of shader operators makes it easy to implement and customize shaders for light, glass, and some metals, giving you more control over the visual aspect of the scene. PBR materials provide realism due to the accurate representation of physical properties using Physically Based Rendering technologies. This addon gives users the ability to interact more effectively with procedural materials, providing a quick means to create realistic renders. This module automates the creation of materials by providing a list of prepared shaders and textures that can be applied to scene objects. The user will be provided with a set of ready-made shaders (glass, light material, metals) and PBR materials (wood, fabric, metals, and others), which can be applied with one button on the module panel.

Healthcare Data Privacy Protection Through the Lens of Big Data

In the era of rapid development of big data, there are more and more fields that have a close connection with big data technology, of which the medical field is a particularly important part. Nowadays, citizens reflect that the medical information they had uploaded to the cloud platform has been leaked frequently, even in some regular hospitals and other government-provided platforms, which has aroused citizens' doubts and dissatisfaction. This paper will combine the two perspectives of the field of medical information and big data technology to provide new countermeasures and solutions for solving the problem of medical data leakage from the perspective of big data technology and combining with citizens' awareness of privacy protection.

ІНКРЕМЕНТНИЙ ПІДХІД ДО ПЛАНУВАННЯ РОБОТИ СТУДЕНТІВ НАД СПІЛЬНИМ ПРОГРАМНИМ ПРОЄКТОМ

As of today, well-known product and outsourcing IT companies use Agile models for the software development life cycle (SDLC), the advantages of which include rapid adaptation to changes, continuous feedback, improved product quality, increased team engagement, focus on customer value, transparency and control, as well as the reduction of internal and external risks. All Agile models are iterative, meaning the development process is divided into separate, similar iterations, which have different names in different models. Familiarization with and practical application of modern Agile models by students at the first (bachelor’s) level of higher education in the field of information technology is an important task for future IT specialists. To achieve this task, the most popular Agile model, Scrum, was chosen, which is also incremental, meaning that each iteration delivers additional functionality that is ready for use. The main roles of participants and their responsibilities, artifacts, and ceremonies of the Scrum process are reviewed. The article proposes applying the Scrum model for iterative and incremental software development that will solve a multi-criteria optimization problem using a game-theoretic approach. The formulation and general algorithm for solving the multi-criteria optimization problem using a game-theoretic approach are presented, as well as an example of formulating the Product Backlog, which contains twelve functional requirements to be implemented by the student Scrum team over twelve iterations (sprints). The recommended process for dividing students into Scrum teams and assigning roles to participants is described. An example of incremental implementation based on the Scrum model of the SDLC for solving the multi-criteria optimization problem using a game-theoretic approach is also provided.

Creative employment as a modern resource of socio-economic recovery of Ukraine

The article's main idea is to substantiate the importance of creative employment for Ukraine's socio-economic recovery. Human capital, its creative element, can accelerate the transformation of a raw economy with its export orientation into a new economy dominated by technology and technologies inherent in Industry 4.0. The use of methods of dialectical analysis, synthesis, generalization, systemic, strategic, and process approaches, and techniques of abstraction made it possible to reveal the high potential of creative employment for preserving existing jobs and generating new jobs, making it attractive to investors. The systematization of the thoughts and work of domestic and foreign scientists regarding the content of creative employment is of theoretical and practical importance. In accordance with the defined goals and objectives, the conceptual principles of "narrow" and "broad" approaches to the content of creative employment are summarized and deepened. It was found that, according to the "narrow" approach, creative workers are mainly people of art and creative professions, people employed in the media industry, and specialists in the field of information systems and technologies, for which individual work is characteristic. According to the author's position, in accordance with the "broad" approach, creative employment takes place in all branches and spheres that produce material, cultural, and spiritual goods, as well as in management activities. This concept not only brings new knowledge to socioeconomics but also has practical significance for determining the scope of creative employment and evaluating state social and economic policy. The study concluded that creative employment is not an artificial phenomenon detached from technical and social progress. Its development is connected primarily with the increase in the economy's and the social and humanitarian sphere's need for innovative developments, which are subsequently commercialized. According to the author, new industrial relations are formed on this basis, which are gradually transformed into partnership ones.

The Degree to Which Public School Principals Possess Artificial Intelligence Applications in the Karbala Governorate Education Directorate

The study aims to identify the degree of possession of government school principals in the Karbala Governorate Education Directorate of artificial intelligence applications. The descriptive analytical approach was used. To achieve the study objectives, a questionnaire which contained (34) items was developed, divided into five dimensions. The study community was (114) male and female principals. The study sample consisted of (94) male and female managers, and the sample was selected randomly. The results of the study showed that the degree of possession of government school principals in the Karbala Governorate Education Directorate of artificial intelligence applications was average. The results of the study also showed that there were no statistically significant differences at the significance level (α=0.05) attributed to the study variables (gender, academic qualification, experience in artificial intelligence techniques). In light of the study results, the researchers recommended several recommendations, most notably: paying attention to training courses in the field of information and communications technology, especially in the subject of artificial intelligence, by organizing meetings and workshops with the aim of raising awareness among individuals and society about the importance of artificial intelligence, encouraging the Iraqi Ministry of Education to its teaching staff and providing them with incentives to employ artificial intelligence applications in their administrative and educational work, introducing artificial intelligence applications into curricula and courses and paying attention to them, and providing specialized teaching staff in this field.

A Systematic Literature Review of Soft Skills in Information Technology Education.

This research addresses the importance of the soft skills approach, which encompasses problem-solving, collaboration, interpersonal and communication skills for higher education in the information technology (IT) field. IT graduate students continue to face difficulties in meeting the employability criteria of the global information technology sector due to mismatching capabilities, such as the discrepancy between the technical knowledge obtained in academia and the practical skills expected by employers. This systematic literature review used PRISMA guidelines for data collection. Papers were examined using the inclusion-exclusion criteria, which included concentrating on full-text studies about soft skills in higher education published in English between 2018 and 2024. The keywords used by the inclusion and exclusion criteria are soft skills, higher education, university, undergraduate, graduate, IT, information technology, software, computer science, programming, information systems and IS. The SCOPUS search engine platform found 2088 documents, and the (WOS) database obtained 1383 documents. To comprehend the significance of soft skills in the field and its effect on graduates' employability, 69 papers were carefully examined. The rapid change following Industrial Revolution 4.0 has transformed the working environment, challenging new IT graduates to be competent in the working environment. This study highlights the importance of soft skills and self-awareness in university education, revealing that current curricula must adapt to the rapidly changing job market, especially post Industry 4.0. The literature review indicates that despite high technical competence, graduates lack essential soft skills like communication, teamwork, and problem-solving, creating a gap between new graduates and industry expectations. Hopefully, this study's results will contribute to understanding the functionality and necessity of soft skills in the behavioral sciences literature. To bridge the skills gap between industry demands and technical proficiency, academic institutions should incorporate creative teaching approaches prioritizing soft skills like problem-solving, teamwork, and communication. Universities, recent graduates, and companies must work together to modify courses to meet the needs of a job market that is changing quickly.

Application of artificial intelligence in higher education institutions for developing soft skills of future specialists in the sphere of information technology

Abstract This paper aims to delineate the significant role of artificial intelligence (AI) in developing the soft skills of future information technology (IT) professionals. To achieve this goal, the authors give some relevant considerations concerning using AI in teaching humanitarian subjects and explore the use of AI to develop soft skills essential for future IT professionals. First, the analysis of the survey results confirms that students are not aware that using AI in education is very helpful. That is why many students (51.8%) do not use them at all. Therefore, we have an intention to give the examples of the use of AI tools for educational purposes to equip students, first of all, with understanding of soft skills value, and, secondly, let them complete the tasks that contribute to the development and improvement of their soft skills. Second, we defined that the soft skills (communication, negotiation, problem-solving, finding a common language with colleagues and clients, public speaking, and intercultural) are essential for conducting professional communication with colleagues in the sphere of IT to satisfy the demands of the IT industry in the modern-day world. Third, the paper contributes scientifically to investigating the integration of AI technologies in the university-level educational landscape. Integrating AI in higher education institutions offers a promising route for developing or boosting the soft skills necessary for future specialists in the field of IT. Drawing on a comprehensive review of literature focusing on the use of AI technologies in the contemporary world and considering the empirical data from the online survey, the study investigates the opportunities of AI tools to foster soft skills required to achieve the active collaboration of IT employees for companies.

ADVANCING INFORMATION TECHNOLOGY WITH IMMUNOLOGICAL COMPUTING – SOFT COMPUTING TECHNIQUES FOR ADAPTIVE AND ROBUST SYSTEMS

The field of Information Technology (IT) is evolving rapidly, and with this growth comes the need for systems that are both adaptive and robust. Biological systems, especially the human immune system, demonstrate remarkable adaptability and resilience, inspiring the development of Immunological Computing (IC). This paper explores the application of immunological principles in Soft Computing techniques to create systems capable of responding to dynamic environments. Current IT systems often face challenges such as handling unpredictable changes, scalability, and security threats. Traditional computing approaches struggle to address these issues efficiently due to their rigid structures and limited adaptability. Immunological Computing, inspired by the immune system’s ability to learn, remember, and adapt, offers a promising solution. The proposed method integrates immune system mechanisms like clonal selection, immune memory, and self/non-self-recognition into computational models. These models are coupled with soft computing techniques such as fuzzy logic, genetic algorithms, and neural networks, enhancing the system’s ability to adapt to changing environments and uncertainties. In simulated tests, this approach demonstrated a significant improvement in robustness and adaptability compared to traditional IT systems. For instance, in a cybersecurity application, the immunological-based system detected and neutralized 94.6% of threats, a notable improvement over the 82.3% detected by conventional systems. Similarly, in a resource optimization scenario, the system adapted to dynamic workloads with an efficiency increase of 15% compared to static systems.

Information Standards and Guidelines on AI: Ethical Concerns, Trustworthiness, Quality Assessment, and Human Oversight

ABSTRACTThis panel, sponsored by the ASIS&T Standards Committee, has two purposes. First, the panel gives a brief report on the most recent activities of the national and international standards in the field of information science and technologies in which the ASIS&T Standards Committee and members have been involved. More importantly, the panel will focus on several recent significant standardization efforts that address the ethical concerns, trustworthiness, quality assessment, and human oversight of artificial intelligence (AI) systems. A final open discussion on these issues will involve the audience, to highlight the benefits, challenges, and standards needed while addressing the important role of information science within our evolving society.

Scientific problems of ensuring technological sovereignty in the field of artificial intelligence technologies

The article discusses the scientific problems of ensuring technological sovereignty in the field of artificial intelligence technologies. One of the key scientific problems is computer modeling of human cognitive functions with finite resources, which provide the ability to process and analyze finite–dimensional and infinite-dimensional data along with finite-dimensional ones. A well–known solution to this problem is the A.N. Tikhonov regularization method, due to the high complexity and cost of implementation of which, less complex and expensive empirically constructed foreign INS are used to build AI solutions, but without guarantees of error-free results. The consequence of this is a rather low level of implementation of AI solutions in industry and in the field of information technology and a practical lack of data on the economic effect. It is proposed to consider the economic efficiency of domestic AI solutions as the main criterion for the need for their development.

Intellectual Property in the Conditions of Digital Transformation of the Economy

A comparative analysis of the fulfillment of the necessary conditions for implementing the digital transformation of the economy using intellectual property in the world and in the Republic of Belarus was carried out. It has been established that in order to implement the digital transformation of the economy, it is necessary to fulfill two conditions directly related to intellectual property: the development of software and the availability of an instrument fleet, determined by patents for inventions in the field of information and communication technologies. It is concluded that Belarus has significant potential in the field of software creation. A noticeable lag in the Republic in terms of creating an instrument base for information and communication technologies has been revealed, which is confirmed by the small number of patents in the field of these technologies and in the field of artificial intelligence received by national applicants. The main directions for the development of digital transformation of the national economy in terms of intellectual property are formulated.

CONTENTS OF THE INFORMATIONAL AND METHODICAL COMPETENCE OF THE FUTURE CHEMISTRY TEACHER

The content of the informational and methodological competence of the future chemistry teacher is revealed in the article. The need to implement a competency-based approach to the professional training of future chemistry teachers was determined. It has been established that in the conditions of informatization of society, new components of the professional competence of the future chemistry teacher have arisen, related to the need for active use of information and communication technologies in the educational process. From the composition of the professional-pedagogical and methodical competence of the future chemistry teacher, the informational-methodical competence is distinguished, which is defined as a special system of personality quality, which represents the unity of competences in the field of chemistry, information and communication technologies, general and partial methods of teaching chemistry and educational technologies. The educational functions of the informational and methodological competence of the future chemistry teacher are defined: adaptive-corrective, stimulating-developmental, creative, normative-evaluative. It is proven that the formation of informational and methodological competence of the future chemistry teacher can be achieved as a result of the functioning of a complete didactic system, the most important function of which is to ensure the organization, management and orderliness of all components of the learning process related to the informatization of chemical education. It has been established that this will enable content-technological integration of various disciplines and create conditions for the formation and development of the informational and methodological competence of the future chemistry teacher. It is revealed that the informational and methodical competence in the structure of the future teacher’s professional activity performs specific functions and reveals specific properties determined by the peculiarities of professional activity in the information society. It has been proven that informational and methodical competence accumulates and structures all groups of professional and pedagogical competences and professionally significant personality qualities and is manifested in the ability to perform various professional functions and tasks based on the integration of informational, methodical and subject competences. We see the prospects for further research in the revealed structures of the informational and methodological competence of the future chemistry teacher.

Integration of AI Training in the Field of Higher Education in the Republic of Bulgaria: An Overview

The presented work provides a comprehensive evaluation of the current availability of education programs and courses related to of AI the field of Information Technologies and Computer Science in higher education institutions (HIEs) in the Republic of Bulgaria. More specifically, this study examines 163 bachelor’s and 239 master’s degree programs from 28 HEIs available during the 2023/24 academic year in four professional fields: (1) Electrical Engineering, Electronics, and Automation; (2) Communication and Computer Technologies; (3) Informatics and Computer Science; and (4) Mathematics. The conducted evaluation shows that 41.1% of evaluated BSc programs and 26.4% of MSc programs include at least one AI-dedicated course. Results indicate a significant presence of AI-focused education, particularly in degrees related to Informatics and Computer Science, where 47.8% of AI courses are concentrated. However, a notable disparity exists in the inclusion of AI subjects across other technical fields, particularly in Electrical Engineering and related degrees, which contain only 8% of the identified AI courses for BSc degree programs. The findings highlight the need for a broader and more accelerated integration of AI education to meet the evolving demands of both students and the labor market. This work underscores the importance of strategic curriculum adaptation to enhance the readiness of Bulgarian HEIs to support the development and application of AI technologies, addressing the skills gap and fostering a workforce capable of navigating the AI-driven future.

AGENT Q-LEARNING SPEED DEPENDENCY ON THE FACTORS IN TIC-TAC-TOE

Reinforcement learning of program agents has widespread usage today. Especially, Q-learning, a model-free reinforcement learning technique has shown great results in various applications, like games, self-driving car and robot control. Regarding turn-based games many scientists successfully applied it to train artificial intelligence and to make competitive opponent for human player. While algorithms are well-known there is a room for parametrical optimization to achieve maximum learning speed considering specific problem like turn-based board game. As results of this research show the speed can vary significantly. Tic-Tac-Toe is a very simple and old game that gives an opportunity to try Q-learning without excessive efforts. The algorithm is universal and can be applied to more complex games. It worth noting that core of learning algorithm is the same for any similar game – only rules and board size are changed, which is one of the important properties of Q-learning. This paper investigates the impact of learning rate and discount factor on the speed of learning of the Q-learning program agent in Tic-Tac-Toe board game. It is conducted a series of experiments using developed computer implementation of the algorithm to analyze the correlation between learning rate, discount factor, and the convergence rate of Q-learning in the specified game. So the experimental field consists of two factors, each of which has three levels, and full factorial experiment has nine combinations of these factors. The learning speed dependency on the each factor is presented. The findings reveal strong relationships between these parameters and convergence speed. For example, the speed is increased proportionally to the both factors, but in the case of discount factor the increase is about 1.4 times lower. Practical significance of the research is in the optimization of factors to achieve effective training of the software agent in order to save processing time, the payment of which is one of the main expenses of enterprises in the field of information technologies. In addition, the research contributes to a better understanding of how Q-learning performs in different game scenarios and provides guidelines for parameter selection in similar applications

Procrastination in the field of information technology

Procrastination in the field of information technology

Nonlinear Analysis of EDF Scheduling Framework for Resource Distribution in Cloud Computing

In modern times, the field of information technology is significantly shifting towards cloud computing. This innovative technology involves the permanent storage of resources on servers, which clients access via the internet. Typically, a cloud comprises a collection of resources known as virtual machines, capable of managing both computational tasks and storage needs. As the demand for cloud services continues to rise, the scheduling of these resources presents a considerable challenge. Scheduling refers to the workflow management necessary to complete tasks within the system. An efficient scheduler adapts its scheduling policy dynamically in response to changing conditions and task requirements. Cloud computing represents a recently developed technology where resources, whether physical or virtual machines, are permanently stored on servers and accessed by users through the internet. The cloud offers various service models, including Platform as a Service (PaaS), Software as a Service (SaaS), and Infrastructure as a Service (IaaS). In this context, IaaS refers to a set of resources, including virtual machines, that provide computational and storage services. Given the increasing adoption of cloud technology, resource scheduling has become a critical task. Hence, optimizing the scheduling of requests to ensure the best utilization of cloud resources is essential. This paper introduces a Nonlinear Analysis of EDF Scheduling Framework for resource allocation that considers deadlines and processing times when assigning resources to specific jobs. The performance metrics, including Average Turnaround Time, Average Waiting Time, and Average Deadline Violation, show a significant improvement when compared to traditional scheduling models such as First-Come, First-Served (FCFS), the Shortest Job First (SJF), and Simple Earliest Deadline First (EDF) models.