Field Of Information Technology Research Articles

Joint Processing of Aerospace and Ground Surveying Materials to Create 3D Terrain Models

Methods for creating three-dimensional terrain models based on aerospace and ground survey data is an important direction in the field of geographic information technologies. This article presents a detailed analysis of the process of developing and implementing an automated approach to creating 3D terrain models using Agisoft Metashape and ArcGIS software. The presented method can significantly reduce the time and human resources required to create 3D models, as well as increase the accuracy and reliability of the results obtained.

Arabicization via Loan Translation: A Corpus-based Analysis of Neologisms Translated from English into Arabic in the Field of Information Technology

Abstract This study aims to use a corpus-based analysis to examine loan translation (LT) as an Arabicization technique in Written Standard Arabic (WSA) for information technology (IT) and investigate the factors impacting LT formation. Data were collected from four corpora: four Arabic online newspapers, the Microsoft Language Portal, two user manuals, and the Arabic Corpus of King Abdul-Aziz City for Science and Technology (KACST). Four LT strategies were identified: morphosyntactic pattern alteration, literal translation, loan blending, and metaphorical extension. Literal translation occurred in three degrees: full LTs, partial LTs, and non-LTs, through calquing. Metaphors based on functional similarity played a crucial role in understanding and accepting IT terms in WSA. Paradigmatic variation prevailed in LTs, with synonymous variations more common than nonsynonymous ones, and no syntagmatic variation. The KACST analysis showed significant differences in occurrence frequency among LT variants. LT formation and variation were influenced by linguistic factors such as lexical need, semantic transparency, and lexical borrowing, as well as extralinguistic factors such as nationalism and lack of coordination among Arabic language academies. The study concludes with implications for addressing the absence of coordination between these academies and improving IT-related LT quality between English and WSA.

Balancing Act: Assessing the Impact of AI Tools on Active Learning in IT Practical Labs

Abstract: In a long time, the integration of Counterfeit Insights (AI) instruments in instructive settings has changed the scene of learning, especially within the field of Information Technology (IT). This term paper digs into the concerning perception of students' expanding dependence on AI instruments amid viable labs, possibly ruining their dynamic engagement and problemsolving abilities. The ponder points to explore the degree of this dependence, its results on students' learning results, and propose rules for teachers to strike a adjust between leveraging AI apparatuses and cultivating dynamic learning. The investigate utilizes a mixed-methods approach, combining a organized study managed to IT und

Factors affecting the technological innovation of banks toward accounting benefits in a developing country’s industrial revolution 4.0 context: evidence from Vietnam

Purpose This study aims to investigate the factors affecting technological innovation intentions at banks listed in Vietnam, a developing country, to develop business activities and accounting benefits according to the trend of the 4th Industrial Revolution. Design/methodology/approach To collect and analyze the data for this study, qualitative and quantitative methods were used. Specifically, 20 finance and banking experts and 45 managers in the field of information technology were interviewed in qualitative research over a period of three months. Then, 1,000 questionnaires were sent to banks within six months, with the final sample for quantitative research being 324 respondents. Finally, the structural equation modeling (SEM) was used to check the hypotheses. Regarding the tools used, the qualitative study used a semistructured questionnaire to collect information. Meanwhile, SPSS software was used to analyze quantitative research information, including checking common method bias, nonresponse bias, evaluating scale quality and checking SEM. Findings The findings show that the usefulness, ease of application, credibility, innovation and efficiency of technology have certain impacts on technological innovation intentions at banks listed in Vietnam. Using the SEM analysis, the results showed that the five factors had a favorable influence on the technological innovation intentions. More specifically, this study proposed adding an efficiency factor, and the results showed that it has the greatest impact on technological innovation intentions. Research limitations/implications This study would be considered a continuation of prior studies because it provides empirical evidence for business models at banks listed in developing countries (for example, Vietnam) and so provides useful advice for bank management not only in Vietnam but across Asia. In fact, bank managers should consider introducing new technology as appropriate to make their reports more clear and up-to-date, therefore improving their performance. Banking managers, in particular, should focus on enhancing the bank’s application technology indicators to obtain a competitive edge. Originality/value This is a pioneering study that uses a combination of the reasoned action theory, planned behavior theory, transaction cost theory and unified theory of acceptance and use of technology to expand knowledge about technological innovation intentions at listed banks in the context of a developing country. The study also discovered and added the efficiency factor as a key factor affecting the intention to innovate technology at listed banks. These contribute to improving the literature of technological innovation intentions.

SUBSTANTIVE CRIMINAL PROTECTION FOR THE RIGHT TO IMAGE IN THE DIGITAL ERA UNDER UAE AND FRENCH LEGISLATION

Background: The right to image is considered one of the most important personal rights related to the person, simply because the image does recognise its owner from his or her peers, thus constituting a vital element of one's private life. Accordingly, legal protection of the right to image is highly required on both civil and criminal levels. There is no doubt that such a requirement can be attributed to the notable developments in the field of information technology, and what has been produced by digital devices and misused by people has led to the rapid spread of images in the virtual space, where any individuals have become subject to the violation of their private life. Based on this, the legal provisions of both Emirati and French legislators have adopted legal provisions that would ensure full and substantive criminal protection of the right to image, confirming the criminalisation of all forms of assault on this right, in addition to defining the controls and penalties that shall be applied against these attacks. Methods: To thoroughly tackle our research issue and its consequences, we will employ a descriptive, analytical, and comparative method. This approach is structured to meticulously explore every aspect of the research subject, albeit succinctly, and integrate jurisprudential principles with current judicial precedents. Results and Conclusions: The current research results show that comparative legislation lacks a precise definition concerning the violation of the right to image, thus leaving its interpretation to be determined by jurisprudence and the judiciary. In Emirati and French legal frameworks, this offence is not explicitly delineated but is rather encompassed within regulations safeguarding private life. The right to image is not absolute, with exceptions permitting capturing photographs for public interest. Protection of images is deemed essential within the context of private life rights. While UAE legislation mandates the use of devices for such violations, French law offers flexibility, allowing for various means of perpetration. Both legal systems stipulate that the act must occur in a private, unauthorised context and prohibit alterations to photographs without consent. Unlike UAE law, French legislation imposes penalties for the dissemination of sexually explicit images. Finally, the infringement upon the right to image is categorised as an intentional offence in both legal systems

MACROECONOMIC DIMENSION OF INFORMATION TECHNOLOGY MARKET DEVELOPMENT

Information technologies play a crucial role in the modern economic system, acting as a driver for the development of the state. Information technologies are not only one of the most important factors stimulating economic growth but also contribute to the development of society, employment stimulation, and competition enhancement. The information technology market generates a significant portion of the GDP and export revenues. The analysis of the formation and development of the domestic information technology market is a key factor in understanding its importance in shaping the prospects of Ukraine as a digital state. The study analyses the dynamics of the development of the national information technology market, providing a comparative analysis of indicators between the Ukrainian market and several other countries.The article aims to analyse the macroeconomic impact of the information technology market on the development of the national economy, investigating correlation relationships between the rates of economic growth and various indicators both in Ukraine and in EU countries.The article explores the directions of the influence of the national information technology market on the dynamics of economic growth. Based on the conducted analysis, conclusions are drawn about the existence of a direct correlation between the growth of information technology export and GDP growth both in Ukraine and in European Union countries. The correlation between the increase in GDP and the growth of other important indicators in the information technology market, including the number of specialists and investments in scientific research, is analysed. Statistical methods reveal a relatively strong connection between the growth rates of investments in scientific research in the field of information technology and the GDP growth rate. At the same time, the correlation between the growth of the workforce in the information technology market and GDP is somewhat weaker.

Implementation of Convolutional Neural Network (CNN) Method for Fish Processed Cuisine Image Identification Application with Google Maps Features

The rapid advancement of science and technology encourages dynamic transformation in various sectors, especially in the field of information and communication technology (ICT), especially with the existence of Android-based smartphones. This advancement revolutionizes the way we access information, especially about various processed fish dishes in Indonesia. However, despite the plethora of culinary offerings, travelers often find it difficult to discover traditional dishes through social media platforms. To bridge this gap, a new app that utilizes artificial neural networks has been developed. The app allows users to photograph and upload images of processed fish dishes to recognize and provide detailed descriptions and recipes. In addition, integrating Google Maps makes it easy for users to find nearby places that serve these dishes. Testing the app with a dataset consisting of 1577 images of six types of processed fish dishes yielded promising results, with accuracy reaching 97.57% over 120 epochs. This innovation not only preserves cultural heritage but also enhances the culinary experience for locals and tourists.

Philosophical paradigms in information technology research

Having been in existence for nearly 30 years, information technology has revolutionized how human beings carry out their day-to-day life. Its use and adoption have brought about many philosophical issues that need to be reviewed. There are ethical issues concerned with the use of information technology ranging from fake news, autonomous systems, biasedness in AI systems and data privacy among others. As research is being carried out to answer some of these concerns, it will be important to look at the core building blocks of a paradigm and some of the research paradigms that can be used in this field. This paper introduces the field of information technology, where its definition and notable contributions are highlighted. Then it goes on to do a review of existing research paradigms with an emphasis on key components of a research paradigm and the types of research paradigms. Lastly, the paper reviews philosophical issues that exist within information technology with an emphasis on ethical issues. With an understanding of this, it will be easier for researchers in this field to choose a paradigm within the area of information technology that best suits their research.

Computing Education Interventions to Increase Gender Equity from 2000 to 2020: A Systematic Literature Review

Although gender parity has been achieved in some STEM fields, gender disparities persist in computing, one of the fastest-growing and highest-earning career fields. In this systematic literature review, we expand upon academic momentum theory to categorize computing interventions intended to make computing environments more inclusive to girls and women and consider how those characteristics vary by the success of the intervention. Particular attention is given to the efficacy of broadening participation and success for women in computer science, information technology, and related fields. After scrutinizing 168 relevant studies, 48 met the inclusion criteria and were included. We introduce a framework for gender equity in computing, expanding on existing research on academic and STEM momentum to encompass new domains representing social and structural momentum. Our analysis reveals the complex roles of intervention domains, strategies, goals, levels, and duration in shaping their efficacy. Implications for theory, research, and practice are discussed.

Sistem Evaluasi Pada Aplikasi Akademik Menggunakan Metode Skala Likert Dan Algoritma Naïve Bayes

Harapan Bersama Polytechnic, Tegal City (Harber Polytechnic), is one of the higher education institutions. At the Harber Polytechnic there are various fields in carrying out the listed sections, one of which is the Information and Communication Technology (ICT) field. An agency must have a system that is used to facilitate and carry out its goals. An academic system or application used by agencies, namely Oase and Syncnau. From the existence of this system, of course, a place or place is needed to listen to it, to find out how satisfied the users are who often use the system, which is realized in the form of a web repository and evaluation. The web repository is used to store the academic system data and evaluation results using two methods, namely the Likert Scale Method and the Naïve Bayes Algorithm. Of the two methods used as a choice of questionnaires and text mining from user reviews who have filled out the questionnaire. The Likert scale method used uses four Likert levels, namely strongly agree, agree, disagree and strongly disagree. whereas for text mining it was made using the Naïve Bayes algorithm from the results of the build model to get a fairly high percentage quality level of 83.6%, and the test results of the model were also quite satisfactory so that the use of text mining is useful in opening an institution's academic system. These results have been analyzed by this method and the final result of the evaluation is the percentage level of system satisfaction and the results of comments or reviews that have been classified to make it easier for developers to develop academic systems in the future.

CONCEPTUALIZING COMMUNICATION EFFICIENCY IN ENERGY SECTOR PROJECT MANAGEMENT: THE ROLE OF DIGITAL TOOLS AND AGILE PRACTICES

This conceptual paper explores how digital tools and agile practices can enhance communication efficiency in energy sector project management. It posits that the integration of technology such as project management software, real-time data sharing platforms, and agile methodologies can significantly streamline communication, ensuring more responsive and adaptable project management. The paper develops a conceptual framework that outlines the interactions between these technologies and project management practices, suggesting pathways for implementation and potential impacts on project success. The paper will use a conceptual analysis approach, drawing on existing theories and models from the fields of information technology, agile methodologies, and project management. It will build on these foundations to propose a novel framework, illustrated with hypothetical scenarios and potential outcomes. The paper is designed to contribute to the academic discussion by not only reviewing existing knowledge but also by proposing new conceptual frameworks that can guide future research and practice in the management of energy projects, particularly focusing on the critical aspect of communication. Keywords: Communication Efficiency, Energy Sector, Project Management, Digital Tools, Agile Practices.

Regional features of the tax burden of IT companies in the context of increasing their sustainability

This article characterizes the dynamics of the tax burden of Russian IT-companies as a key factor in their economic sustainability. This study aims to determine regional characteristics of the level of tax burden in the field of information techno­logy in order to identify best practices with the possibility of further replication of successful experience. To achieve this goal, an analysis is carried out of changes in the tax burden in the post-COVID period compared to 2019. Particular attention is paid to the dynamics of the tax burden depending on the scale of enterprises. The results show that the trend of reducing the tax burden in the post-COVID period is not stable for all Russian regions. The low level of tax burden is associated not so much with the industry of activity (in particular, with the field of information technology), but with regional characteristics (the creation of tax preferences in certain territories). Currently, state support for business through tax methods is aimed more at supporting certain regions and not the sphere of IT. The most typical scale of enterprises in the information technology sector, demonstrating a minimal tax burden, assumes revenue from 30 to 120 mln rubles a year. Such scaling of business in this area allows not only to use tax preferences established by the current Russian tax legislation, but also to find resources for organizing effective tax planning.

Work in IT for women: The realities of Ukraine


 
 
 The article presents a study conducted on gender equality in Ukraine in the field of information technology. The problem of gender inequality still exists throughout the world. The purpose of the article is to study the working conditions of women in IT, to discuss the possible use of stereotypes, and to identify the reasons for women’s lack of interest in working in this field. Formally, there is no prohibition for women to work in the IT industry. However, there are a number of reasons in Ukraine that affect the possibilities of pursuing a career in this direction. The article analyzes the available statistical data and the results of a survey among representatives of the IT sector. It is worth noting the problem of data collection during the war in Ukraine. The importance of the sphere for the country’s economy as a whole and the relevance, demand for specialists, as well as the ratio of women and men employed in this area are considered. Global trends in gender distribution in the field of IT were analyzed. The main stereotypes and situations that constitute obstacles for women in this area are considered and the features inherent in Ukrainian society are also highlighted. Based on the statistical data of Ukraine the number and structure of female students, including foreigners, in recent years were analyzed. It was revealed that the structure of the gender ratio of men and women in education is changing with the formation of the labor market of Ukraine and the distribution by employment status. The ratio of working women and men is approximately the same, but the structure by employment status is different. In Ukraine the IT sector is largely based on individual entrepreneurs. Despite the martial law, the IT community is actively developing and new companies are being created. Training is actively carried out in paid and free courses. Surveys were conducted among students, and it was found that the beginning of a career in the field of information technology is already determined by certain stereotypes of society. Based on the conducted research, the structural gender relations in the field of IT and the main stereotypes that hinder the development of women in this area are analyzed. Recommendations for overcoming gender inequality in the field of IT in Ukraine are presented. Based on the information received, conclusions were drawn: the number of women and men studying technical and mathematical sciences in Ukraine is approximately the same. But in the future, in professional activities, women in many cases prefer to occupy weaker positions, leaving leading positions to men. The main reason for this dynamic is the generally accepted stereotypes and the actualization of the role of women in other areas.
 
 

Advancing Fruit Image Classification with State-of-the-Art Deep Learning Techniques

Fruit image classification technology using deep learning is making significant contributions in the agriculture and food retail sectors, promising to increase efficiency and productivity. However, there is an identified knowledge gap in dealing with the considerable variation in fruit appearance caused by factors such as type, size, color, and lighting conditions, as well as the precise identification of damage or disease. This research focuses on applying the developed Convolutional Neural Network architecture to fill this gap by using it in an extensive and diverse dataset, covering 67,692 image files categorized into 131 fruit classes. The training process showed substantial accuracy improvement, with training accuracy reaching 98.39% and validation accuracy at 90%, while training loss decreased to 0.0430 and validation loss to 0.2991. In the advanced stage of training, the training accuracy peaked at 99.43% in the 59th epoch with a shallow loss of 0.0251. However, the validation loss showed variation, indicating room for improvement in model generalization. The findings provide insight into the potential and challenges of applying Convolutional Neural Network models and fruit image classification with improved fruit sorting accuracy. Contribution to the literature in the field of information technology and agriculture by showing deep learning models can be improved to address the issue of fruit image variability.

Detecting Upcoming Patent Keywords by Predicting Keyword Trends Using Patent Keyword Network

In this ever-changing technological landscape, the ability to quickly predict technological trends becomes crucial for any company or institute engaged in informed decision-making and strategic planning. Data for predicting technological trends can come from various sources such as patent data, which is easily accessible to the public due to the nature of patents. This research is aimed at patent analysis, focusing on combining the keyword- based method, social network analysis (SNA) method, and neural network prediction to propose a feasible keyword trend prediction method based on patent analysis by targeting upcoming keyword trends. More specifically, we utilize Long Short-Term Memory (LSTM) to predict changes in keyword frequency using keyword centralities as input. To assess the effectiveness of the proposed method, we constructed the input dataset using the USPTO patent database in the Information and Communication Technology (ICT) field. We then experimented to compare the proposed method with the benchmark method. Furthermore, to counteract the unbalanced nature of patent data, the SMOGN method is introduced. The results demonstrate its potential for application in broader contexts.

Creating a model of a training task set for a multitask practical training in the courses “Informatics” and “Information technologies in professional activity”

According to the federal state educational standards, the curriculum for socio-economic and humanitarian students of secondary vocational education (SVE) and higher education (HE) includes disciplines that provide mastery of competencies in the field of information and communication technologies. Along with the course of informatics, they include disciplines of the block “Information technologies in professional activity”: “Information Technologies in Court Activity” (SVE), “Information Technologies in Professional Activity” (for several specialties of SVE), “Information and Communication Technologies in Judicial Activity” (HE), “Information Technologies in Management” (HE), “Information Technologies in Translation Studies” (HE) and several other disciplines.Based on the analysis of scientific literature and an array of manuals — workshops provided to students and teachers by leading Russian electronic library systems (ELS), as well as own pedagogical work in teaching informatics and the block of academic courses “Information Technologies in Professional Activity”, the author proposes a model of training tasks set to be solved during the study of these courses. The relevance of the article subject is conditioned by the necessity to effectively use the time allocated by the curricula of socio-economic and humanitarian training areas of vocational education and higher education for the study of informatics and information technologies in professional activities. The novelty of the results presented by the author is confirmed by the absence of articles and reports on the topic in the Russian Science Citation Index (RSCI) database

Secure Multiple-Image Transfer by Hybrid Chaos System: Encryption and Visually Meaningful Images

The secure transmission of information is one of the most important topics in the field of information technology. Considering that images contain important visual information, it is crucial to create a safe platform for image transfer. One commonly employed tool to enhance the complexity and randomness in image encryption methods is the chaos system. The logistic and sine maps are utilized in encryption algorithms but these systems have some weaknesses, notably chaotic behavior in a confined area. In this study, to address these weaknesses, a hybrid system based on the Atangana–Baleanu fractional derivative is proposed. The various tests employed to evaluate the behavior of the new system, including the NIST test, histogram analysis, Lyapunov exponent calculation, and bifurcation diagram, demonstrate the efficiency of the proposed system. Furthermore, in comparison to the logistic and sine maps, the proposed hybrid exhibits chaotic behavior over a broader range. This system is utilized to establish a secure environment for the transmission of multiple images within an encryption algorithm, subsequently concealing them within a meaningful image. Various tools employed to assess the security of the proposed algorithm, including histogram analysis, NPCR, UACI, and correlation values, indicate that the proposed hybrid system has application value in encryption.

Educational models and technologies in the era of digital transformation

At present digital transformation of the society faces the problem of a shortage of a highly qualified personnel - specialists in the field of the latest information technologies, intellectual scientists with a high-quality fundamental education. The solution to this problem lies in the introduction of new educational models and technologies. The purpose of the research is to study the strategy for the formation of a new conceptual scheme of modern education. It has been emphasized that two leading educational models are currently being successfully implemented and complement each other: the classical model of «completed» education with the basic principle of «education once and for life», covering the need of the society for the generation and dissemination of knowledge, as well as the storage of cultural ideals, and the second model, called the «lifelong education model», which meets the principle of «lifelong education», corresponding to the rapid changes in technology and the nature of digital transformations of the society. The article pays special attention to new educational technologies such as: 1) analytical technologies, which are based on the analysis of big data from educational institutions in real time; 2) adaptive (or intellectual) learning, which is based on the principles of personalization of learning and building an individual educational trajectory; 3) Smart education, using learning tools in an interactive educational environment with elements of distance and mobile education. The methodological basis of the research is a systematic approach and general methods of scientific knowledge, such as analysis, synthesis, generalization. The relevance of the topic is associated with increased attention to the problem of matching the quality of the Russian education with the promising tasks of the digital transformation of the Russian society. Key conclusion. A high professional level of the personnel reserve, which will be able to practically implement state digitalization programs, is possible and is associated with the construction of a new concept of modern education.

РАЗВИТИЕ НАУЧНО-ТЕХНОЛОГИЧЕСКОГО ПОТЕНЦИАЛА РЕГИОНОВ ПРИВОЛЖСКОГО ФЕДЕРАЛЬНОГО ОКРУГА РОССИЙСКОЙ ФЕДЕРАЦИИ

Currently, in the context of active transformation of the global economy, innovation plays a key role in the development of regions. This is especially noticeable in industrialized countries, where the prospects for sustainable economic growth are closely linked to the integration of the latest scientific and technological achievements, including progress in the fields of information technology, biotechnology, nanotechnology, as well as the introduction of new materials and technologies aimed at saving resources and protecting the environment . The development of the scientific and technological potential of the regions of the Russian Federation is recognized as a priority task at the state level. Issues of developing and implementing strategies that can stimulate the scientific and technological development of the regional economy occupy a central place in discussions at the highest government level and in scientific circles. The Volga Federal District of Russia stands out among other regions due to its high scientific and technological activity. Analysis of the scientific and technological potential of a given region, taking into account its scientific, technological and economic characteristics, is an important task, which provides for the relevance of developing special territorial strategies and methods for assessing scientific and technological development. The object of the study is the scientific and technological potential of the Volga Federal District of the Russian Federation. The purpose of the study is to assess the state, problems and prospects for the development of the scientific and technological potential of the regions of the Volga Federal District. Research methods: statistical analysis, comparative analysis, documentary method, general scientific methods. The scientific novelty of this research includes the identification and analysis of key factors that influence scientific and technological potential, as well as determining the directions of its development in the regions of the Volga Federal District.

Hospital Medical Behaviour Supervision and Operational Efficiency Evaluation Method based based on Big Data Platform

The application of cloud computing and big data core technologies and concepts to medical informatization can improve its flexibility and efficiency, and achieve the overall deployment and intensive management of the system. In the era of big data, the use of information management platform can optimize and standardize clinical diagnosis and treatment process, improve the quality and efficiency of diagnosis and treatment services, and improve the quality and level of scientific research, which meets the requirements of medical reform for fine management of hospitals and precise medical treatment in the era of evidence-based medicine. This paper introduces the development and application of big data analysis in the field of information technology. Through the research on the supervision of hospital medical service behavior, the top-level design is used to standardize the content of medical behavior supervision, and the effectiveness of supervision is discussed to achieve the purpose of reducing clinical paperwork. Based on the needs, the medical service behavior supervision system is proposed and constructed. Strengthen hospital medical behavior supervision through hospital big data analysis and knowledge base system support. This system can provide management with an effective monitoring and management tool, enabling them to promptly identify and solve problems that arise in medical services. By analyzing a large amount of medical data, hospitals can help predict the trend of disease occurrence in advance, thereby taking preventive and control measures in advance, and reducing the occurrence and spread of diseases. Through deep learning and analysis of patient data, personalized treatment plans can be provided for each patient to improve treatment effectiveness.