Internet System Research Articles

NEW LEARNERS’ SATISFACTION WITH ONLINE EDUCATION: A LONGITUDINAL STUDY

With recent advancements in IT, internet systems and and the need for IT-driven society, particularly during Covid-19, online education (online learning, or e-leaming) has become inevitable to achieve the multiple objectives (such as cost-effective, time- efficient, quality enhancement, etc.) both for educator and learner. Keeping in view the importance of online education, the current study focuses on pedagogy of how to increase the efficiency of a learner. Therefore, this study is aiming to explore how these two dimensions of online learning style are used to measure new learners’ satisfaction with online education, for which this study focuses on identifying the role of a student-teacher-contact (STC) in exploring the degree of learners’ satisfaction with online education, and also applying the moderating effect of student-student contact (SSC). A total of 340 target respondents were surveyed in three phases. The results showed that STC interaction was insignificant during phase – I, whereas both interactions were found significant during phase – II & III. The research emphasizes that SSC in the presence of moderators has a significant determinant of the degree of new learners’ satisfaction with online education. In addition, the management of online learning institutions will realize that SSC is essential for achieving new learners’ satisfaction with online education. Since there is no sufficient literature on the moderating role of STC, this study is a valuable contribution to the existing body of knowledge.

Multi Agent County Energy Internet Project Contribution Evaluation Model

Energy Internet is an advanced form of modern power grid, representing the future energy development trend and direction. Judging the collaborative efficiency level of county energy internet participants and putting forward countermeasures to improve the efficiency of participants with low collaborative efficiency can strengthen the level of cooperation among participants and speed up the promotion speed of county energy internet. Firstly, the affecting factors of the planning are identified through interview, and the factor index system of county energy Internet is established. Secondly, the entropy weight method is used to determine the weight of each factor. Finally, taking the county energy internet as an example, this paper analyzes the contribution degree of collaborative efficiency of different participants.

The labor potential of rural areas of Kazakhstan in the context of digitalization of the economy

The goal is to reveal main directions for increasing the efficiency of labor potential of rural areas of the Republic of Kazakhstan in the context of digitalization of the economy, to identify criteria and analyze factors of its growth. Methods – comparative analysis and scientific abstraction, allowing to determine the importance of rural labor resources in production of public goods and increasing reproduction. Results – there is no general indicator that determines the activity of the personnel and conditions for its formation. According to the authors, the prerequisites for this are ecological-geographical, socio-economic, technological development and digital transformation. The priority areas of demographic policy and mechanisms for increasing employment and profitability of rural workers are given. The structure of the agricultural labor market is considered: the level of innovative activity of enterprises in the context of regions; the number of farmers users of the Internet system in different countries. Conclusions – information and communication systems in the economy have reduced the gap in the quality of education between rural and urban schools by more than 30%, and digital entrepreneurship also involves the creation of new enterprises characterized by: the use of digital technologies to improve business operations, the invention of digital business models, interacting with customers and stakeholders through digital platforms. Taking into account the real situation, it is necessary to find opportunities for optimizing the activities of the able-bodied part of the population of the Kazakhstani village, while it is important to analyze the economic and technological needs of economic entities in agricultural sector. Also, the authors focus on some practical problems that the researcher and manager face when assessing the labor potential of rural areas.

Доказанная эффективность и безопасность применения инсулина деглудек при лечении сахарного диабета 1 типа у беременных

Diabetes mellitus (DM) remains a disease that determines the high frequency of obstetric and perinatal complications. Achieving the physiological values of glycemia as the main condition for the successful course and outcomes of pregnancy in women with diabetes remains a difficult task to date. To improve the quality of treatment of patients with DM 1 type, the method of basic bolus insulin therapy has been used for more than 30 years. Therefore, the emergence of new effective and safe insulins is extremely important for improving pregnancy outcomes in patients with diabetes. Insulin degludec is an analogue of basal insulin of the new generation with improved pharmacokinetic and pharmacodynamics profiles compared to analogues of basal insulins of the previous generation, however, there was insufficient data on its use during pregnancy. This article presents the results of an open international randomized controlled study of EXPECT no less effective use of insulin degludec during pregnancy, which took place in 14 countries in 56 research centers, 8 of them in Russia. Of the 225 women with DM 1 type who participated in the study, 67 were from Russia. The EXPECT study compared the efficacy and safety of insulin degludec with insulin detemir (both in combination with insulin aspart) in pregnant women with DM 1 type. Insulin detemir was chosen as a comparison drug, since it is the first basal insulin analog approved for use during pregnancy and most often recommended as a first-line drug when choosing long-acting insulin for the treatment of diabetes in pregnant women. Material and methods. The study included women over the age of 18 with DM 1 type, whose gestation period ranged from 8 (+0 days) to 13 (+6 days) weeks and who were just planning a pregnancy. The study participants (1:1) were randomized using an interactive Internet system for the use of insulin degludec at a dose of 100 U/ml once a day or insulin detemir at a dose of 100 U/ml once or twice a day, while both drugs were taken in combination with insulin aspart at a dose of 100 U/ml. Pregnant women received the study drug at randomization, throughout the entire period of pregnancy and up to 28 days after delivery (the end of the study). Women who were not pregnant at the time of randomization started taking the study drug before conception. The primary endpoint is the last scheduled measurement of glycated hemoglobin (HbA1c) before childbirth (a field of at least 0.4% efficiency for degludec compared to detemir). Secondary endpoints are efficacy, safety for the mother, and pregnancy outcomes. The primary endpoint was evaluated in all randomized women who were pregnant during the study. Safety – for all participants who were pregnant during the study and received at least one dose of the study drug. This study is registered on the website ClinicalTrials.gov numbered NCT03377699 and currently completed. Results. From November 22, 2017 to November 8, 2019, out of 296 screened women, 225 were randomized for insulin degludec (n = 111) or insulin detemir (n = 114). The average HbA1c value at the initial stage of pregnancy in the degludec insulin group was 6.6% with a standard deviation (SD) of 0.6%, in the detemir insulin group -6.5% with SD of 0.8%. In the degludec insulin group, the average value of the last planned measurement of HbA1c before childbirth was 6.2% (SD – 0.07%; 45 mmol/mol), in the detemir insulin group – 6.3% (SD – 0.07%; 46 mmol/mol). The estimated difference between the treatment groups is -0.11% (95% CI -0.31–0.08); -1.2 mmol/mol (95% CI -3.4–0.9); p < 0.0001 which confirms the equally effective effectiveness of insulin degludec. When using insulin degludec, no additional safety-related problems were reported compared to the use of insulin detemir.

The Impact of Violent Online Games on Chinese Adolescents’ Social Relationships

Under the Chinese internet system's anti-addiction policy, online games, particularly those with violent functions, are banned, and some previous research has only examined the harmful effects of online gaming. This study examines the parents' relationship, peer relationship, and romantic relationship levels of teenagers' social relationships from the perspective of violent online games, as well as the gender variations in social relationship positivity. Specifically, Chinese teenagers were split into the violent game and non-violent game groups, gathered the adolescents' social interaction scores in three aspects via questionnaires, and conducted a quantitative study. The data revealed that violent online games had no significant influence on teenagers' moms, peers, or romantic connections, with the exception of their ties with their fathers. This demonstrates that in families affected by violent video games, the relationships between adolescents and their parents warrants further investigation and debate in order to attain healthier parent-child relationships through the examination of the mothers' relationship pattern. In addition, peer relationship and romantic relationship scores of adolescent violent game players revealed that social behavior in violent games does not influence the development of positive social interactions in the real world. In the study of gender differences, it was determined by comparing the overall differences in social relations between males and females with the differences in the violent game group that violent games are the primary factor that boosts males' enthusiasm for social relationships. Consequently, examining the online social behavior of male online violent gamers players could be a breakthrough in enhancing the social relationships of Chinese adolescents.

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

With the convergence of information technology (IT) and operational technology (OT) in Industry 4.0, edge computing is increasingly relevant in the context of the Industrial Internet of Things (IIoT). While the use of simulation is already the state of the art in almost every engineering discipline, e.g., dynamic systems, plant engineering, and logistics, it is less common for edge computing. This work discusses different use cases concerning edge computing in IIoT that can profit from the use of OT simulation methods. In addition to enabling machine learning, the focus of this work is on the virtual commissioning of data stream processing systems. To evaluate the proposed approach, an exemplary application of the middleware layer, i.e., a multi-agent reinforcement learning system for intelligent edge resource allocation, is combined with a physical simulation model of an industrial plant. It confirms the feasibility of the proposed use of simulation for virtual commissioning of an industrial edge computing system using Hardware-in-the-Loop. In summary, edge computing in IIoT is highlighted as a new application area for existing simulation methods from the OT perspective. The benefits in IIoT are exemplified by various use cases for the logic or middleware layer using physical simulation of the target environment. The relevance for real-life IIoT systems is confirmed by an experimental evaluation, and limitations are pointed out.

News Reporting in Drone Internet of Things Digital Journalism

The current study investigated several innovations for drone technology adoption in journalistic expeditions for intelligence and news gathering purposes. The necessity to leverage technologies to improve the direct involvement of eyewitnesses especially in violence-prone areas where physical and direct human involvement would be impossible or with high risk of survivability expectations is the motivating factor that directed the current research. The paper surveys the adoption of autonomous sensing drone systems in internet of things journalism and amalgamated the theoretic ingredients from the academic standpoint with realistic technological advancements from the global perspective and eventually expanded the propositions for conceivable adoption in the credible societal applications. The paper envisioned the future journalism and mass media practices and how drone innovation can revolutionize the journalism profession for the purpose of news and intelligence gathering with practical and technical realism with reduction of journalistic casualties.

Harnessing Machine Learning in Tackling Domestic Violence—An Integrative Review

We extracted 3588 articles from four databases. Twenty-two articles met the inclusion criteria. Twelve articles used the supervised ML method, seven articles used the unsupervised ML method, and three articles applied both. Most studies were published in Australia (n = 6) and the United States (n = 4). Data sources included social media, professional notes, national databases, surveys, and newspapers. Random forest (n = 9), support vector machine (n = 8), and naïve Bayes (n = 7) were the top three algorithms, while the most used automatic algorithm for unsupervised ML in DV research was latent Dirichlet allocation (LDA) for topic modeling (n = 2). Eight types of outcomes were identified, while three purposes of ML and challenges were delineated and are discussed. Leveraging the ML method to tackle DV holds unprecedented potential, especially in classification, prediction, and exploration tasks, and particularly when using social media data. However, adoption challenges, data source issues, and lengthy data preparation times are the main bottlenecks in this context. To overcome those challenges, early ML algorithms have been developed and evaluated on DV clinical data.

Optimization of blasting parameters and prediction of vibration effects in open pit mines based on deep neural networks

Embedded systems in production equipment and Internet of Things (IoT) sensors on production lines are one of the elements that constitute an industrial cyber-physical system. In this paper, an in-depth study and analysis of the optimization of blasting parameters and prediction of vibration effects in open pit mines using deep neural network arithmetic are present. Based on the deep neural network research and analysis of the relationship between blasting parameters and rock fragmentation, a prediction model for blasting parameters and fragmentation for the East Open Pit Mine was established, and sensitivity analysis was performed on blasting parameters, and the unit consumption of explosives and the perforation rate were established. It was found that the average relative errors of both numerical simulation results and depth prediction results were no more than 10%, while the average relative errors of Sadowski's formula prediction results were more than 20%. The results show that the neural network optimized by a genetic algorithm and the numerical simulation has the highest accuracy in predicting the blasting result parameters. The research model and results obtained in this paper can be used as a reference guide for engineering practice.

“Bulgarin's Manor” by F.V.B.: on the Question of the Properties of Network Paraliterature

The article analyzes the anonymous poetic text “Bulgarin's Manor”, which is a small anonymous poem published on the Internet systems Ridero and Amazon on February 2, 2022 under the laconic cryptonym F.V.B., referring to the initials of one of the main anti-heroes of Russian literature - Faddey Venediktovich Bulgarin. This context, connected with Russian-Estonian relations, on the one hand, and the history of Russian literature, on the other, seems to us the most significant for commentary. Based on historical and literary observations and reconstructing the historical and cultural contexts reflected in the textual structures of the work, we show how the anecdotes that accompany the personality of Thaddeus Bulgarin (1789-1859) and the myths that describe the history of Karlovo are transformed in a naive, amateur mind. Special attention is paid to the explicit intertext, represented primarily by the works of Nicolay Gogol and Prosper Merimee and implicit intertextual connections leading to the work of Alexander Pushkin. The study of the work allows us to be convinced of the total mastery of the idea of a palimpsest by modern actors of network literature.

AUTONOMOUS POWER SUPPLIES OF IoT DEVICES FOR DIGITALIZATION OF REMOTE AND SPARSELY POPULATED AREAS

Сделан обзор и выполнен анализ технологий обеспечения автономного электропитания для систем устройств интернета вещей в отдаленных, труднодоступных и малонаселенных районах в интересах устранения цифрового не­равенства. A review and analysis of technologies for providing autonomous power supply to the system of Internet of Things devices in remote, hard-to-reach and sparsely populated areas in the interests of eliminating the digital divide has been carried out.

Nikah Online Perspektif Kaedah Fiqh Al- Masyaqqah Tajlib At-Taisir

Marriage is one of the most appropriate and honorable ways to continue offspring. Article 2 paragraph (1) of Law Number 1 of 1974 stipulates that marriage is valid if it is carried out according to the laws of each religion and belief. From the provisions of Article 2 paragraph (1) it is clear that those who are Muslim must heed the provisions and Islamic law in entering into marriage. Current technological developments are leading society towards the globalization of telecommunications, media and informatics. In the current condition, there are many problems that arise in a contract through electronic media, for example, online marriages where consent and consent transactions are carried out through connectivity or activities that are connected to a network or internet system (via online). Starting from the problems above, fiqh as a product of human thought related to Islamic law must be able to provide juridical answers to changes that occur in society. Therefore, opportunities for fiqh studies must always be open, and must be carried out by taking into account the social implications of the application of the products of legal thought, while maintaining their relevance to the will of the Qur'anic doctrines regarding human behavior.

VEHICLE BLACK BOX IMPLEMENTATION FOR INTERNET OF VEHICLES BASED LONG RANGE TECHNOLOGY

The vehicle Black Box system records variations in vehicles in order to minimize and analyze accidents; or records traffic rules violations automatically and reports them to the traffic authority system. In many countries (like Iraq) traffic violation recording implemented manually causing false traffic fine recordings, even when the vehicle is not at the same location at traffic fine recording, so it is necessary to develop such systems that confirm the availability of the vehicle in that location during violation occurrence. In this paper, a Vehicle Black Box system based 433MHz long-range wireless modulation technology developed for safe driving issues by utilizing gas and flames sensors, and for false traffic violation recording issues by proofing the availability of the vehicle at traffic violation location by utilizing a GPS module. The system-based Internet of Vehicles model transmits the acquired data, where two nodes representing vehicles used with one base station form Vehicle-to-Infrastructure communication mode. The system was tested in real-time and the sensed data was transmitted and stored in a database for future analyzing purposes where the acquired GPS data was used as proof of the vehicle’s correct location with date and time stamps. Two vehicle data where captured and stored indicating their correct location with date and time stamps and stored in a database at the base station. The measured Received Signal Strength indicator and Signal-to-Noise ratio values are stored for analyzing purposes. The performance of the system in such Internet of Vehicle environment is discussed according to the readings.

Intrusion detection systems for internet of thing based big data: a review

Network security is one of the foremost anxieties of the modern time. Over the previous years, numerous studies have been accompanied on the intrusion detection system. However, network security is one of the foremost apprehensions of the modern era this is due to the speedy development and substantial usage of altered technologies over the past period. The vulnerabilities of these technologies security have become a main dispute intrusion detection system is used to classify unapproved access and unusual attacks over the secured networks. For the implementation of intrusion detection system different approaches are used machine learning technique is one of them. In order to comprehend the present station of application of machine learning techniques for solving the intrusion discovery anomalies in internet of thing (IoT) based big data this review paper conducted. Total 55 papers are summarized from 2010 and 2021 which were centering on the manner of the single, hybrid and collaborative classifier design. This review paper also includes some of the basic information like IoT, big data, and machine learning approaches are discussed.

THE DYNAMICS OF CASHLESS SOCIETY: A SYSTEMATIC REVIEW

The cashless society is a collective vision of global citizens to create a faster, more flexible, automated payment system. This study aims to formulate findings on publications from 2012-2022, focusing on a cashless society. Using the Systematic Literature Review approach, this study uses sources from the Scopus database to identify common understanding, supporting factors, and challenges of a cashless society from the views of researchers. This study found that forming a cashless society is a solution to efforts to grow the economy and speed of transactions in society. Another benefit is preventing corruption, levies, and fraud where electronic payments made on record have suppressed this crime. However, the dark side of a cashless society is the potential invasion of privacy and paralysis of the economic system caused by the failure of the internet system.

The greening of IT use: the impact of environmental concerns on the use of internet systems

PurposeInternet use has a high environmental footprint that is often overlooked by end users. This paper contributes to limiting the negative environmental footprint of Information Technology (IT) use by understanding the relationship between environmental concerns and use of IT amongst users who are aware of the environmental footprint of IT use. Second, the paper argues that taking environmental concerns into account in technology acceptance studies is relevant, even in studies concerning ordinary IT (i.e. IT not commonly classified as “green” technology).Design/methodology/approachThe authors conduct two vignette-based surveys in two different countries: the USA and Belgium. Partial least squares structural equation modeling (PLS-SEM) is used to analyse the effect of environmental concerns on the intention to use the webcam during online meetings and binary logistic regression is used to analyse the relationship between environmental concerns and reported actual use of webcams.FindingsThe higher the respondents' environmental concerns, the higher their intention to use internet systems in a more environmentally responsible way, provided the respondents are aware of the environmental footprint of internet system use. Moreover, the higher the respondents’ environmental concerns, the more likely they are to use internet systems in a more environmentally responsible way.Originality/valueThis study is the first to distinguish “Greening of IT Use” from “Greening of IT” and “Greening by IT” and to show that environmental concerns has an impact on the way end users (intend to) use internet systems, provided the users are aware of the environmental footprint of that use.

WEBSITE INTERFACE MONITORING CLIENT ACTIVITIES USING MIKROTIK ON UBUNTU SERVER 18.04 LTS

Internet network is beneficial to be able to support the needs of the learning process. However, a large number of internet users, for example, who access university data, can cause weaknesses in a system, making it very vulnerable to data theft, damage, and leakage of confidential documents. The obstacle faced is that the internet is getting slower due to many users using the internet network and not knowing the amount of bandwidth usage. A system is needed to determine the bandwidth usage for each client. This system To simplify the process of monitoring the internet network. It can view client browsing history and block website domains so that internet users in the world of education have positive characteristics and the internet is not slow. In this system, the admin will monitor the use of internet clients connected to the campus environment through the user name and password obtained for each student. The results of this research are the creation of an internet monitoring system for a proxy to monitor the maximum amount of bandwidth usage for each client, view the client's browsing history, and block website domains and client IPs. The admin can observe the internet network and monitor client activity that uses the internet network in the campus environment using the monitoring application.

Deep learning-driven intrusion detection systems for smart cities-a systematic study

The technological advancement in internet and communication systems of a smart city makes the cyber security a big gainsay. Eventually, securing the smart city objects is of prime importance. An intrusion detection system is one of the approaches to ameliorate cyber security in smart city. Regardless of elaborate research, IDS encounters many difficulties in finding breaches. So, deep learning is applied in developing IDS in recent years. This paper provides organized survey of the latest DL methods in constructing an efficient IDS. At first, IDS techniques with it types are explained. Later, various DL approaches, performance measures, datasets and implementation tools were introduced. Finally, findings and discussion and conclusion have been provided.

The practice study of big data technology in the construction of higher vocational logistics informationization

With the continuous development of science and technology, more new technologies are widely used in production and life, and big data has changed people's production and life style. Based on the 21st century information era, big data has long played an important role in the construction of logistics informatization in higher education institutions, and has become one of the important means to support the optimization and innovation of education and development transformation in the 21st century. Compared with traditional data technology, big data technology can be called at any time and anywhere using the Internet system to calculate data, and the advantages of fast processing, large data volume and low value density can better improve the quality and efficiency of logistics work management in higher education institutions. This paper analyzes and discusses the practical research of big data technology in the construction of informationization in the later stage of higher education, and hopes that it can give suggestions and inspiration to the majority of relevant workers.

COMPATIBILITY PROVISIONING OF SENSOR SYSTEMS AND INDUSTRIAL INTERNET OF THINGS PLATFORMS

The article relates to the issue of ensuring the compatibility of different sensors types, their measurements results and the industrial Internet of things platforms. The solution offered to ensure semantic interoperability is based on semantic technology with the architecture development and further creation of a common ontological model. The approach offered allows integrating both semantic content of sensor information and methods for arrangement and normalization of measurement results, which is relevant for subsequent analysis and use of industrial Internet of things data on various platforms, including data depersonalization for computer-assisted learning. A study of regulatory documentation and technical solutions to ensure the compatibility of the industrial Internet and sensor systems was carried out, existing similar solutions were considered, shortcomings in comparison with the proposed method were identified. Ontology concepts for the model of semantic compatibility of sensor systems and the industrial Internet of things platform were developed. The article gives an example of the developed logical inference procedure in the framework of the ontology implementation with use of the free software tool Protégé. Using the proposed approach allows to proceed to knowledge-based interoperability.