Development Of Telecommunications Research Articles

DeepOTF: Learning Equations-constrained Prediction for Electromagnetic Behavior

High-quality passive devices are becoming increasingly important for the development of mobile devices and telecommunications, but obtaining such devices through simulation and analysis of electromagnetic (EM) behavior is time-consuming. To address this challenge, artificial neural network (ANN) models have emerged as an effective tool for modeling EM behavior, with NeuroTF being a representative example. However, these models are limited by the specific form of the transfer function, leading to discontinuity issues and high sensitivities. Moreover, previous methods have overlooked the physical relationship between distributed parameters, resulting in unacceptable numeric errors in the conversion results. To overcome these limitations, we propose two different neural network architectures: DeepOTF and ComplexTF. DeepOTF is a data-driven deep operator network for automatically learning feasible transfer functions for different geometric parameters. ComplexTF utilizes complex-valued neural networks to fit feasible transfer functions for different geometric parameters in the complex domain while maintaining causality and passivity. Our approach also employs an Equations-constraint Learning scheme to ensure the strict consistency of predictions and a dynamic weighting strategy to balance optimization objectives. The experimental results demonstrate that our framework shows superior performance than baseline methods, achieving up to 1700 × higher accuracy.

Review of Luneburg Lens Antenna Designs Manufactured Using 3D Printing

Introduction. The interest in multibeam dielectric lens antenna arrays has been growing in recent years due to the development of millimeter-wave telecommunication and radar systems. Progress in the development of mobile communication systems based on adaptive beamforming technology is increasingly associated with multibeam systems based on lens antenna structures, providing an alternative to hard-to-implement and energy-consuming phased antenna arrays. In recent years, spherical and cylindrical Luneburg lens antennas implemented using additive manufacturing technology have attracted research attention. Despite their complexity of execution, these design exhibit excellent electromagnetic characteristics. This paper provides a review of Luneburg lens antennas manufactured using 3D printing, which can find application in 5G and 6G communication systems.Aim. To review achievements in the design of lens antenna structures manufactured using additive manufacturing.Materials and methods. Materials for analysis, comparison, and systematization were derived from various sources, including research articles, publications in proceedings of Russian and international conferences, and websites of manufacturers of lens antennas over the past 20 years. The material selection mechanism was based on the originality of the presented designs of printed Luneburg lens antennas.Results. A review of Luneburg lens antennas manufactured using 3D printing, which differ from each other in terms of mechanical strength, complexity of execution, and electrodynamic characteristics, was carried out. The results of a comparative analysis of the key characteristics of these antennas are presented, along with examples of their practical implementation.Conclusion. The disadvantage of Luneburg lens antennas has always been the complexity of their manufacture; however, additive manufacturing technologies open up new opportunities for their fast, high-quality, and automated production. Various 3D printing technologies can be used to create dielectric lens antennas, which differ in the resolution of printers, printing speed, and cost. Additive manufacturing methods are constantly developing, having reached the technological possibility of printing Luneburg lens for the sub-THz range with a high level of resolution and accuracy. In addition, 3D printers capable of printing multiple lenses simultaneously have also appeared.

Theoretical frameworks for ICT for development: Impact assessment of telecommunication infrastructure projects in Africa and the U.S

This review paper examines the theoretical frameworks for assessing the impact of Information and Communication Technology (ICT) on development, focusing on telecommunication infrastructure projects in Africa and the U.S. A comparative analysis highlights the socio-economic and technological disparities between these regions and their implications for telecommunication development. The paper discusses various theoretical frameworks, such as the Digital Divide Theory, Technology Acceptance Model, and Capability Approach, and their applicability to evaluating telecommunication projects. It emphasizes the importance of context-specific strategies, digital literacy, and cross-regional collaboration to enhance the developmental impact of telecommunication infrastructure. The paper concludes with recommendations for policymakers and suggests areas for further research, particularly in developing adaptable frameworks that address regional challenges and opportunities in telecommunication development.

Editorial: Education in the age of artificial intelligence

The progress of civilisation is the ground for enormous changes in the life of every human being. The development of information technology, telecommunications or multimedia is a huge step in the history of all civilisation. This evolution from the industrial era, where we were dealing with an industrial society, is moving us to an information society based on artificial intelligence (AI). Information is becoming the basis not only for the smooth functioning of all types of institutions – but also, and perhaps above all, for the educational process. The implementation of artificial intelligence in the education system is a topic that generates both enthusiasm and concern. On the one hand, the possibilities it offers in the context of education seem almost limitless, promising, among other things, the personalisation of teaching, the optimisation of teaching processes and support in the diagnosis and development of students’ skills. On the other hand, there are questions about data security, ethics and the potential replacement of teachers by machines.

STUDY OF THE INTERNET OF THINGS NETWORK CONSTRUCTION TASKS

The emergence and development of the Internet of Things stimulates the development of telecommunications and computing technologies. The current state of this process and its prospects allow the inclusion of a large number of devices connected to communication networks. This leads to the need to select an adequate model and methodological apparatus that allows working with such a quantity. The article discusses the concept of the IoT, which determines that any devices or things can now interact with each other at any time at any point in space.

A review of different structures of power amplifiers to improve linearity and efficiency

<p>This review paper presents a comprehensive study of commonly used power amplifier (PA) structures. In recent years, with the development of modern wireless telecommunications and their dramatic challenges, new requirements are needed. In addition, some applications, like cell phones and tablets for example, need new considerations, especially in terms of power consumption. Also, linearity is another major factor in designing a PA. Furthermore, fabrication technologies such as complementary metal-oxide semiconductor (CMOS), silicon on insulator (SOI), gallium nitride (GaN), gallium arsenide (GaAs), etc., play a crucial role in terms of power consumption. Therefore, it is necessary for PAs to meet these considerations. This paper reviews design considerations, fabrication technologies and common PA structures including envelope tracking (ET), envelope elimination and restoration (EER), Doherty, linear amplification with nonlinear components (LINC), feedback and feedforward linearization techniques with their pros and cons. This review focuses on the significant achievements, techniques, structures and characteristics of each. Also, this review focuses on the significant achievements, techniques, structures and characteristics of each. Also, this paper tries to provide a brief overview of the various methods with the advantages and disadvantages of each. This review paper tries to make readers familiar with common structures so that readers know the advantages and disadvantages of each and choose the desired structure based on their priorities.</p>

MODELING AND FORECASTING OF THE TELECOMMUNICATION SERVICES MARKET OF THE REPUBLIC OF KAZAKHSTAN

The purpose of the study: modeling and forecasting the telecommunications services market with the study of the development of telecommunications in the Republic of Kazakhstan and the factors aff ecting its development.Methodology: statistical analysis and forecasts of the development indicators of the telecommunications market for the last 2017-2022 and by region were made. Methods of statistical, hypothesis testing, correlation, regression, cluster analysis were used. Calculations were carried out in statistical packages R, Gretl, as well as in Microsoft Excel.Originality / value of the study: the article discusses the features of telecommunications services in the Republic of Kazakhstan. Analysis of the market of services in the areas of Telecommunications was carried out. It also identifi ed positive factors that contribute to its improvement, and the main reasons that hinder its development. Based on the identifi ed factors, forecasts were made and a model was compiled.Relevance: the study of trends in the development of the telecommunications industry is particularly relevant within the framework of the general strategy for the development of the world for the development of the world economy.Findings: based on the results of the analysis, it was found that the main sub-sectors that generate revenue for communication services are internet services for wired and wireless telecommunications networks. According to the regions, revenues increased in Almaty and Astana. Based on the reserch, the authors formed, conclusions about the state of telecommunications services in the Republic of Kazakhstan.

Impact of 5G Wireless Technologies on Cloud Computing and Internet of Things (IOT)

With its promise of unmatched speed, low latency, and widespread device connection, the introduction of 5G wireless technology represents a critical turning point in the development of telecommunications. This study examines how 5G would significantly affect cloud computing and the Internet of Things (IoT), two important technical areas.5G brings about a paradigm change in the field of cloud computing by facilitating quicker and more dependable connectivity between end-user devices and cloud servers. High data transmission rates and low latency enable real-time service delivery and processing, creating new opportunities for resource-intensive applications like edge computing, virtual reality, and augmented reality. The integration of 5G with cloud computing has the potential to transform cloud-based services' architecture and functionalities, enhancing their responsiveness and dynamism. Moreover, a new age of automation and communication is heralded by the merging of 5G with IoT. The large flood of IoT devices is accommodated by 5G's expanded network capacity, which facilitates smooth communication and coordination amongst them. By enabling IoT applications with never-before-seen speed and dependability, this synergy opens up new opportunities in industries including industrial automation, smart cities, healthcare, and agriculture. The convergence of 5G and IoT not only expedites the implementation of IoT solutions but also amplifies their efficiency and scalability. But there are obstacles in the way of 5G's revolutionary promise. As more and more devices are connected and data is exchanged, security and privacy issues become critical. In addition, significant financial outlays and careful planning are needed to meet the infrastructure needs for the rollout of 5G. The symbiotic link between 5G, cloud computing, and the Internet of Things is thoroughly examined in this article. It seeks to contribute to the knowledge of the technical environment and direct future research and development activities in order to fully realize the promise of 5G-enabled innovations by analysing the possibilities and difficulties posed by this convergence.

Effectiveness of Self-Control and Cyberloafing on Employee Performance: The Study of CV Galiya Corp.

The development of technology, computers, and telecommunications supports the development of internet technology at this time, especially for business people. The convenience of the internet in doing business serves as a tool for exchanging information electronically into an application tool as a business strategy. With the ease of using the internet in business, especially in companies, it is undeniable that there are advantages. The purpose of this study was to examine and analyze the effect of self-control and cyberloafing on employee performance. This study uses primary data by taking the population used in the study to select a company. CV Galiya Corp. which is located in Bekasi City uses 40 respondents who work in the company. The method used is a type of quantitative research with survey methods. Data collection techniques by using questionnaires to respondents' employees' CV Galiya Corp lives or offline. The data processing method in this study uses SPSS 25 software which is used in testing the validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, multiple regression analysis, t-test, and f test. The results show that the self-control and cyberloafing variables simultaneously affect the employee performance variable. The self-control variable is the most dominant in influencing employee performance in CV Galiya Corp.

ADJUSTING THE PARAMETERS OF MACHINE LEARNING ALGORITHMS TO IMPROVE THE SPEED AND ACCURACY OF TRAFFIC CLASSIFICATION

Background. Telecommunications developments lead to new mobile network technologies and especially 5G, which has only recently been launched, sixth generation of which is already under active development. The development of new technologies influence on both types of mobile traffic (V2V, IoT) and leads to the significant increase in the volume of existing traffic types. Currently, existing methods of traffic processing are not adapted to such changes, which may lead to a deterioration in the quality of service.
 Objective. The purpose of the paper is to analyze the effectiveness of machine learning algorithms to solve the task of traffic classification in mobile networks in real time.
 Methods. The method of solving the problem of increasing the efficiency of information processing is the introduction of new algorithms for traffic classification and prioritization. In this regard, the paper presents the urgent task of analyzing the effectiveness of machine learning algorithms to solve the task of traffic classification in mobile networks in real time.
 Results. Comparison indicated the best accuracy of the ANN algorithm that was achieved with the number of hidden layers of the network equal to 200. Also, the research results showed that different applications have different recognition accuracy, which does not depend on the total number of packets in the dataset.
 Conclusions. This proceeding solves the urgent problem of increasing the efficiency of the mobile communication system through the use of machine learning algorithms for traffic classification. In this regard, it can be concluded that the most promising is the application of algorithms based on ANN. In future the aspect of anomaly detection based on traffic classification and traffic pattern preparation should be investigated, as this process allows detecting attacks to network infrastructure and increase mobile network security.

The Role of Online Debate in Training Future Specialists' (Philologists) and Enhancing Their Professional Competencies

The pedagogical science has always been interested in the problem of identifying effective mechanisms for building future specialists’ professional competencies. The development of telecommunications made educational institutions face the challenge of finding effective forms of interaction between students. Student online debates are one of the forms that contribute to the professional competence development. Methods: surveys and questionnaires, remote collection and processing of information, reduced version of the Multifactor Personal Questionnaire B5-10; Academic Motivation Scale; Short Self-Control Scale; Diagnostics of the Dominant Perceptual Modality; Raven’s Progressive Matrices. Statistical analysis was carried out using the Kolmogorov-Smirnov test, Spearman’s Rank correlation coefficient, and the Mann–Whitney U test was used to assess the reliability of differences between contrasting groups. According to the research findings, students are convinced that participation in debates can contribute to the professional competence development. Students’ diligence was indicated as the main component of motivation for building professional competencies. It was established that most students rate their speeches during the debates higher than they actually are. It was found that students’ participation in online debates contributes to the improvement of professional competencies. Further research should be aimed at studying the role of debates in building professional competencies among students of narrow majors. It is also necessary to develop a detailed methodology of introducing the student debate model into the educational process.

ЗАСТОСУВАННЯ ІНФОРМАЦІЙНИХ ТА КОМУНІКАЦІЙНИХ ТЕХНОЛОГІЙ ДЛЯ АКТИВІЗАЦІЇ ПІЗНАВАЛЬНОЇ ДІЯЛЬНОСТІ СТУДЕНТІВ ПРИ ВИВЧЕННІ АСТРОНОМІЇ

In the context of the active development of telecommunications, multimedia and information systems, as well as the process of modernization of higher education in Ukraine, the use of information and communication technologies in astronomy classes becomes important. In the modern education system, there is a need to review and update outdated methods, techniques, and forms of education, especially in view of the widespread use of information and communication technologies. This need is due to the transition to a more active use of technologies to transfer information and support interaction between teachers and students, especially in the context of open and distance education systems. the introduction of new educational technologies, in particular ICT, provides a flexible and diverse set of technological tools, promotes problem-solving skills in students, provides an opportunity to develop critical thinking and effective information processing skills, encourages active independent, autonomous, and joint study of astronomy, motivates and facilitates the study of science, enhances teacher training.

Morphological, electrical, and electromagnetic characterization of nanometric films of Cu and Ni and their combination in bilayers

Modern developments in telecommunication and microelectronics have resulted in spurious radiation, which can promote electromagnetic interference and environmental pollution. To minimize this problem, this work studied nanometric metallic films (65 nm/layer) based on Cu and Ni and their combinations in bilayers deposited on a polyethylene terephthalate substrate by magnetron sputtering. Field emission gun scanning electron microscopy analyses showed that the films have different morphological textures, due to the processing parameters and the free energy of the metals. Electrical measurements by the 4-point method and dielectric spectroscopy showed that the films have low conductivity values, due to oxides formed on the surfaces of the films and defects. X-ray diffraction confirmed the formation of metallic oxides in the films. Electromagnetic characterization (8.2-12.4 GHz) of the monolayer films showed poor performance. Meanwhile, the bilayer films (Ni/Cu and Cu/Ni) showed different behaviors with reflection and absorption contributions. Attenuation values close to 95 % for the Cu/Ni film were obtained.

THE IMPACT OF BRAND, PRODUCT QUALITY, AND PRICE ON THE DECISION TO PURCHASE A SAMSUNG GALAXY S8 SMARTPHONE IN TUNJUNGAN PLAZA, SURABAYA CITY.

The current development of telecommunications is driven by consumer needs for more effective communication. From the middle class to the upper class, they want to have fast communication without being disturbed by the communication process. With this development, the telecommunications industry is increasingly competing to provide the best for market satisfaction, so that more and more mobile phone products are turning into smart phone products with different features and qualities. Such market competition conditions require a telecommunications company to create a more effective and efficient strategy to attract consumers. There are many considerations that consumers think about before purchasing goods/services. Some of them are considering the product to be purchased, by adjusting the desires, needs and benefits that will be obtained after purchasing the product, as well as the price that will be spent to get the product by adjusting purchasing ability. The problem in this research is whether there is an influence of brand, product quality and price variables on the decision to purchase the Samsung Galaxy S8 smartphone at Tunjungan Plaza, Surabaya City? The data used in this research is primary data obtained by distributing questionnaires to Samsung customers at Tunjungan Plaza Surabaya. In partial testing, the brand image variable (X1) has a significant influence on purchasing decisions (Y) with a calculated t of 3.646 which is greater than the t table of 1.98609, with a significance level smaller than 0.05. The product quality variable (X2) has a significant influence on purchasing decisions (Y) with a calculated t of 2.829 which is greater than the t table of 1.98609, with a significance level smaller than 0.05. and the price variable (X3) has a significant influence on purchasing decisions (Y) with a calculated t of 2.239 which is greater than a t table of 9.707 which is greater than a t table of 1.98609, with a significance level smaller than 0.05.

STRENGTHENING DIGITAL SAFETY THROUGH THE INTRODUCTION OF AN ANTI-HOAX WEBSITE-BASED SYSTEM TO SMA YUPPENTEK 1, TANGERANG CITY, IN ANTICIPATION OF THE CLEAN ELECTION MOVEMENT IN 2024

This community development activity is conducted to introduce website-based and Android-based application systems applied at SMA Yuppentek 1 Tangerang. The development of information technology and telecommunications has been widely used by society. Problems raised when faced with the misuse of utilization are detrimental to society. Age teenager Schools are one of Indonesia's most significant digital media users. The solution completes these problems and requires preventive action to improve skills and partners' understanding regarding digital literacy and its scope based on websites and Android. This activity focuses on the social humanities and information systems through literacy socialization and develops websites and Android-based applications to support the implementation of digital literacy understanding. The implementation method is carried out in preparation, performance, and reporting. The focus of completing the solution is in the second stage or the implementation stage, which includes 1) Education about digital literacy, which is expected to increase understanding of the scope of digital literacy, 2) Education about applications related to digital literacy in the form of introducing various existing related applications, to increase knowledge and utilization of existing applications. 3) Making digital literacy applications based on websites and Android, including digital safety. The teacher will use this application as a manager to be more able to control information. 4) Create a digital literacy module - digital safety. This activity resulted in a 100% achievement output as measured by questions, answers, and questionnaires. This activity is a form of transformation of tertiary institutions, which, in general, is a form of knowledge and technology transfer to the community.

SENTIMEN ANALISIS PENGGUNA TWITTER TERHADAP SEA GAMES 2023 DENGAN METODE NAIVE BAYES

The development of computers and telecommunications has made people often express their opinions through social media Twitter. As recently, after the 2023 SEA Games were held in Cambodia, various kinds of tweets appeared from various sports. From this opinion, it can be seen that the country's success in holding the Sea Games by conducting a sentiment analysis. So this research was conducted to find out how the public opinion regarding the holding of the 2023 SEA Games using the Naive Bayes Classifier algorithm. The data used was 1888 data obtained by crawling Twitter data using the keywords SEA Games and RapidMiner tools. The division of training data and testing data is carried out into two comparisons, namely 50:50 and 60:40. The best accuracy results are obtained with a data comparison of 50:50, which is 70.15%, while a data comparison of 60:40 has a smaller result, namely 70.07%.

An Efficiency Study in Indonesian Telecommunication Company Using Data Envelopment Analysis DEA

PT. Telekomunikasi Indonesia, Tbk (Telkom), as a state-owned company, has a dual mission, namely as a business company that must be managed professionally, as well as being mandated by the Indonesian government to accelerate the development of information technology, telecommunications, and digital infrastructure to improve the Indonesian economy. Until early 2018, Telkom with Indihome fixed broadband products had reached 3 million customers and a market share of 57.69%. However, that is only 4.50% of the 2019 IBP household penetration target. Telkom is required to increase productivity, especially the number of customers and revenue, while the allocation of available resources is limited and varies in each region. Another condition is the significant reduction in staff due to massive retirements and differences in employee productivity levels in each division. This research aims to determine and compare the efficiency level of 7 Telkom Regional Divisions for the 2016-2018 period using the DEA Data Envelopment Analysis method, with data collection based on the census. The analysis process goes through two stages, namely using the DEA Data Envelopment Analysis method, Constant Return to Scale (CRS/CCR), output-oriented. The next step is to measure the strength of the relationship between each input/output variable on efficiency using Pearson's correlation. The results of the study concluded that Divisions E and B have the highest efficiency values. On the other hand, Division G is the lowest. The variables that have the strongest correlation with the level of efficiency are the number of employees (input), the number of customers (output), and business income (output).

Spatial justice, mobile futures and First Nations telecommunications landscapes in regional and rural Australia

In an Australian regional and rural context, inequalities in the location of telecommunications infrastructure and uneven development pose urgent spatial justice questions for policy and planning. These spatial injustices are reinforced by the imaginaries and ideologies of telecommunications development and which populations and locations can benefit from the growth gains attributed to enhanced telecommunications infrastructures. First Nations contributions to telecommunications planning and development are marginalised within the imagined futures and current experiences of internet and mobile coverage in regional and rural towns. Drawing on data from a project focused on regional and rural consumer understandings of smart technologies in North West New South Wales, Australia, we suggest that in order to more substantively position First Nations as growth contributors to telecommunications futures, a re-orientation of place, connectivity, and mobility in planning and engagement is necessary.

Video Streaming and Cloud Gaming Services Over 4G and 5G: A Complete Network and Service Metrics Dataset

The development of telecommunications, particularly mobile communications, has led to the emergence of numerous multimedia services. As these services become increasingly reliant on connectivity, the network has a huge impact on the user experience. However, it is difficult to assess the End-to- End (E2E) performance of the service because of the limited access to the application data and encryption used to secure and integrate the network information exchanged. In this context, this work presents a dataset based on several metrics, namely Key Quality Indicators (KQIs), representing different services' E2E conditions. In particular, video streaming and Cloud Gaming (CG) services are considered in the dataset. Furthermore, a detailed description of the testbed where the dataset has been generated is given, discussing the rationale behind the choices made for its development.

Digital Divide Solutions and Public Service Policy Implementation in Indonesia after the Covid-19 Pandemic

The digital divide has become an important and pressing issue in developing countries during the pandemic and even post-COVID-19 pandemic. In Indonesia, this issue is very important to immediately find the right solution. With the rapid development of telecommunications and the increasingly cheap information technology, especially the internet, it is expected to reduce the problem of the digital divide. The digital divide has been more associated with the availability of access and infrastructure, even though qualified digital capabilities are a prerequisite for digital equity. In addition, strong political decisions are also needed, effective policy instruments are the main prerequisites that cannot be ignored. For this reason, special handling is needed with appropriate and fast government policies, namely by innovating public service policies without overriding policies that have been issued by the central and regional governments before. The forms of policy innovation carried out by local governments after the Covid-19 pandemic include policy innovations related to the recovery of the bureaucratic sector and public services, innovations in the fields of health services, public order, and policy innovations in the economic sector. Formally, a number of institutional aspects have been designed in formulating public service policy innovations. This study aims to see the condition of the digital divide in Indonesia and the solutions presented by the government and individuals to overcome the digital divide, as well as identify the urgency and form of smarter public service policy innovation and its implementation in every region in Indonesia after the Covid-19 pandemic. This research was conducted with a qualitative approach that uses descriptive analysis and explains how the condition of the digital divide between regions in Indonesia and what solutions have been carried out and how the implementation of public service policy innovations can be applied effectively, so that the course of life in various fields can be normal and adaptive again in Indonesia after the COVID-19 pandemic. This research concludes that increasing internet access in Indonesia has not been fully accompanied by the readiness of the digital capabilities of its people. Digital skills include motivation to be more productive in using the internet, get useful information, and use it for productive activities that can improve the economy. In addition, the social conditions of the people and geographical conditions in each region also greatly affect it. The implementation of public service innovation, there are still several factors that become obstacles that directly affect the effectiveness or failure of the implementation, be it in socialization of activities, responsiveness of local governments, leadership, quality of human resources, budget refocusing, OPD collaboration, coordination difficulties, community needs, program continuity, preparation of activity priorities, merging activities, transfer of authority for activities, and facilities and infrastructure that exists in each region in Indonesia is different.