bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of endurance of middle-distance track and field athletes at the stage of initial training
Authors: Korobeinik V.A. , Polishchuk S.B. , Lavrova Ye.
Published: March 2023

The purpose of the study: to develop and experimentally substantiate the methodology of developing the endurance of track and field athletes at the initial stage of training who specialize in middle-distance running. Participants: 22 track and field athletes (males) aged 11-13 years, who specialize in middle-distance running at the Kharkiv State Secondary School No. 3. Research methods: analysis of literary data, testing of physical fitness, methods of mathematical statistics. Results: a methodology for developing the endurance of young middle-distance track and field athletes has been developed, which combines the use of various running, jumping, game exercises and stretching, and its implementation in the practice of the educational and training process has been substantiated.
Нові медичні підходи у фізичній реабілітації пацієнтів з плече-лопатковим періартритом
Authors: Бучинський О.С.
Published: March 2023

Розроблено програму фізичної терапії пацієнтів з діагнозом плече-лопатковий періартрит. Застосування програми призводить до збільшення амплітуди руху в ушкодженому суглобі (збільшуються пасивне та активне згинання і розгинання, відведення). Ефективність авторської програми перевищує стандартну на 5-10%.
Functional state in young wrestlers with different latency of visual response
Authors: Korobeynikov G.V. , Korobeynikova L.G. , Kokhanevich A.I. , Danko T.H. , Korobeynikova I.G. , Kostyuchenko V.I.
Published: March 2023

The aim of the work is research of functional state in young wrestlers with different latency of visual response. 30 younger wrestlers age 14-16 were examined. The functional sates of wrestlers were studied by complex methods. The results are show that slow of time latency in young wrestler links with the emotional promotion and activation of parasympathetic tone of autonomic nervous system regulation.
Development of coordination abilities in children of primary school age in the process of sports aerobics in groups of primary training
Authors: Kravchuk T.M. , Karpunets T.V. , Podchasova K.V.
Published: March 2023

The study revealed modern requirements for the coordination abilities of young athletes in sports aerobics. It is shown that at the initial stage of preparation, in-depth attention requires the development of the ability to orient in space, the ability to differentiate spatial-dynamic parameters of movement and control the coordination of movement, as well as the ability to maintain static and dynamic balance and sense of rhythm. Selected exercises for the development of coordination abilities most significant for successful competitive activity in sports aerobics. The effectiveness of the developed methodology has been proven by its implementation in the educational and training process of groups of initial training in sports aerobics.
The need to train competent specialists in the field of health care with experience in some aspects of international models
Authors: Viziriakina O.
Published: March 2023

The article examines the experience of the health care system, in particular medical rehabilitation: Germany, the Netherlands, Great Britain, which work with the application of the international Classification of Functioning. The measures and principles of the organization of the rehabilitation process as medical care are presented, which indicates the need to use new forms and approaches in the professional education of relevant specialists.
Control of the level of technical training of badminton players at the stage of initial and basic training
Authors: Sobko I.M. , Sterin V.M. , Sobko Y.O.
Published: March 2023

The purpose of the study: to characterize the testing of the technical readiness of young badminton players and select tests for athletes of the initial and basic stages of training. Participants: 30 badminton players (women) aged 10-13 years old who practice badminton in the Kharkiv badminton sports club «KBSK», Kharkov. Research methods: literature data analysis, physical fitness testing. Results: in the study, tests were selected to assess the technical readiness of young badminton players («Stuffing the shuttlecock with the open and closed sides of the racket»; «Beating the shuttlecocks off the wall»; «Accuracy»; «Short serve»; «High serve»;. «High-speed movement»).
Comprehensive training of statistics judges in basketball before the game season
Authors: Fokina N.S.
Published: March 2023

The purpose of the study: to develop and experimentally substantiate a methodology for the comprehensive training of statisticians in basketball based on the use of special exercises. Participants: 40 basketball statisticians from different cities of Ukraine, aged 18-21. Research methods: analysis of literature data, testing of physical fitness and psychophysiological capabilities. Results: a methodology for the comprehensive training of statisticians has been developed, which includes physical exercises, exercises for the development and improvement of simple and complex reactions, choice reactions, exercises for the reaction of discrimination and switching, exercises for training reactions to a moving object. It was revealed that at the end of the experiment, significantly (p<0.05; p<0.01) improved the performance of the tests: "flexion-extension of the arms in the lying position for 30 s", "jumping with a rope for 1 min", "test" Ruler " , test "Reaction to an object", "transfer time of chips 5, 20 mm", "errors simple and complex visual-motor reaction.
Differentiated sanatorium-resort rehabilitation programs for children in remission from cancer, taking into account concomitant pathology
Authors: Shapovalova A.A. , Shmakova I.P.
Published: March 2023

The presents a developing a comprehensive sanatorium-resort rehabilitation (SRR) in different periods of remission of oncologic diseases with the inclusion of mineral waters (MW) of Ukraine of different physical and chemical composition, magnetic therapy and "dry" carbon dioxide baths, taking into account the peculiarities of the disease and concomitant pathology (hepatobiliary, cardiovascular, and nervous system).
The unity of sport, science and art: an analytical review
Authors: Kozin O.
Published: March 2023

Purpose of the work is to methodologically and experimentally substantiate the ways of practical implementation of the integration of sports, science and art. Methods: analysis of literary data and Internet resources, analysis of personal experience of outstanding athletes and teachers, methods of determining the functional state of the athletes' body, pedagogical experiment, mathematical and statistical methods. Results. On the basis of literary data and analytical work, the theoretical concept of the unity of sports, science and art is revealed, which illustrates the organic unity of the three aspects, in which human development reaches a qualitatively new level, characterized by the possibility of holistic manifestation of human abilities. Conclusions. It is shown that the unity of sports, science and art brings human development to a new level as a factor contributing to the harmonious development of all parts of the brain in organic unity.
Peculiarities of application and assessment of dribbling in basketball
Authors: Bieliaiev K.G.
Published: March 2023

The purpose of the study: to provide a description of modern types of dribbling in basketball and to select tests of this technique for young basketball players. Participants: 15 basketball players (men) aged 7-10 years who play basketball in the "Push Team" sports basketball club, Kremenchuk. Research methods: literature data analysis, testing of technical readiness. Results: a list of varieties and ways of dribbling the ball in basketball is provided. Tests for assessing the technical readiness of young basketball players have been selected ("Dribbling the ball on the spot"; "Dribbling the ball while running"; "Dribbling the ball after passing a partner";  "Dribbling the ball after stopping and turning»; «Dribbling the ball after between the legs»; «Dribbling the ball after behind the back»; «Dribbling the ball after spin move»)
Methods of technical training of athletes in precise-point sports based on the development of their coordination skills
Authors: Kozina Zh.L. , Parhomenko O. , Seredenko K.
Published: March 2023

The purpose of the work is to develop a methodology for the development of coordination abilities to increase the technical readiness of archers at the stage of basic training.

Material and methods. 45 shot putters took part in the study at the stage of specialized basic training of SDYUSHOR "Comunar" in Kharkov, of which 21 athletes made up the control group, 24 the experimental group.

Research methods: theoretical analysis and generalization of literary sources, video analysis of technology, pedagogical testing, pedagogical experiment, methods of mathematical and statistical data processing.

The author's method of developing coordination abilities is aimed at improving the technical preparation of shot put athletes at the stage of specialized basic training, which is related to the reproduction of the rhythmic, dynamic structure and the preservation of the stability of the kinematic characteristics of motor actions due to the qualitative manifestations of coordination abilities.

The results. As a result of the application of the author's program for improving the technical training of shot put athletes at the stage of specialized basic training, a significant increase in performance was observed in exercises with changed performance conditions, i.e. sitting on a chair, standing on a platform, with eyes closed.

In addition, the optimization of the characteristics of the shot technique was observed: the change in the angle in the elbow joint before the shot, the angle of the left hand before the shot, the angle of the left hand after the shot, the difference in the angles in the elbow joint and the speed of shoulder movement, which was 5.05-39.94%, exceeds the indicators of skilled archers of the control group

Conclusions. It is shown that at the stage of specialized basic training of shot put athletes in physical training, it is advisable to increase the amount of exercises aimed at developing coordination abilities.
Dynamics of psychophysiological functions of young representatives of precision-target sports at different stages of the training process
Authors: Kozina Zh.L. , Seredenko K. , Parhomenko O.
Published: March 2023

The purpose of the work is to provide a description of the structure of the psychophysiological functions of young hockey players and a comparative characterization of the development of neurodynamic indicators in hockey players and representatives of cyclical sports.

Material and methods. Psychophysiological testing was carried out using the computer program "Psychodiagnostics", as well as the program developed under the leadership of V.S. Ashanina The research was conducted twice: at the end of the pre-competitive period and at the end of the competitive period.

The results. changes in the structure of the relationship of psychophysiological indicators among themselves according to the data of correlation and factor analysis were found. Both in the first and in the second testing, the investigated indicators comprised 4 factors. But the indicators included in each factor and the percentage values ​​of each factor were slightly different for the first and second testing. In the second testing, i.e. at the end of the competitive period, indicators of simple reactions to sound came to the fore in the structure of the relationship of psychophysiological indicators, while in the pre-competitive period simple reactions to light came to the fore.

Conclusions. The role of complex reactions in the structure of the relationship of psychological indicators increases during the transition from the pre-competition to the end of the competition period. This indicates an increase in the role of mental processes with an increase in the skill of the players.
RECUPERAÇÃO AMBIENTAL: VIVEIRO DE MUDAS DA MATA ATLÂNTICA NO TERRITÓRIO DO CEEP VALE DO PARAGUAÇU, COMUNIDADE QUILOMBOLA MUNICÍPIO DE MARAGOGIPE, BAHIA, BRASIL
Authors: Correia Guilherme Brito dos Santos , Leite Marcos Vinicius de Sousa , Santana Manoel Ranyeri dos Reis , Santos Daura Moreira dos , Laranjeira Diene Batista Santos
Published: March 2023

A degradação ocorrida no território onde está situado o Centro Estadual de Educação Profissional Vale do Paraguaçu Comunidade Quilombola (CEEP VP) e nas adjacências tem aumentado ano após ano. Tendo feito essa observação em aulas práticas da disciplina projeto de vida, foi desenvolvido um projeto por estudantes do curso de agropecuária com o intuito de construir um viveiro de mudas da Mata Atlântica na Instituição, com o objetivo de minimizar os impactos causados pela degradação do território. Um viveiro é o ambiente onde germinam e se desenvolvem todo tipo de planta. É nele que as mudas serão cuidadas até adquirirem idade e tamanho suficientes para serem levadas ao local definitivo, onde serão plantadas. Os materiais a serem utilizados na construção, serão de baixo custo e com material retirado da própria natureza, contando com participação dos alunos em todas as etapas desde a construção do viveiro, cultivo, monitoramento e replantio das mudas. Será feito levantamento bibliográfico, registro fotográfico, mapeamento das áreas críticas, e reflorestamento para revitalização das nascentes. O viveiro será utilizado em aulas práticas e estágios dos cursos técnicos do Ensino Médio. O projeto está em fase de desenvolvimento, foi concluído o registro fotográfico e iniciado o mapeamento da propriedade.
SEGURANÇA DO TRABALHO, SAÚDE E PREVENÇÃO: UMA DISCUSSÃO SOBRE O USO DOS EPI’S PELOS TRABALHADORES RESPONSÁVEIS PELA COLETA DOS RESÍDUOS SÓLIDOS URBANOS NO MUNICÍPIO DE MARAGOGIPE, BAHIA, BRASIL
Authors: Macedo Júnior Jorge de Assis , Laranjeira Diene Batista Santos , Alves Joelma do Sacramento
Published: March 2023

O Brasil está classificado como quarto país que mais produz lixo no mundo. O aumento da produção de resíduos sólidos urbanos (RSU), está presente no cotidiano, tornando-se impossível, nos dias atuais, viver sem produzir lixo. O presente estudo teve como objetivo: verificar o fornecimento dos Equipamentos de Proteção Individual (EPIs) dos agentes de limpeza durante a coleta de resíduos sólidos em Maragogipe, analisando o custo x benefícios da utilização dos EPIs. O estudo ocorreu a partir da pesquisa bibliográfica, seguida de um estudo de caso na empresa de limpeza pública, situada na cidade de Maragogipe, estado da Bahia. Caracteriza-se como pesquisa qualitativa pois é uma classe de investigação que tem como objeto de pesquisa uma unidade de forma profunda. Será investigado os gastos com os EPIs por funcionário, para identificar o valor de custo usado para a proteção contra acidentes. Entende-se por acidente do trabalho uma ocorrência inesperada no ambiente de trabalho, que possa causar danos materiais, lesão e doença ao trabalhador, como: pequenas lesões sem afastamento, incapacidade temporária, incapacidade permanente e morte. A pesquisa está em desenvolvimento, através de uma visão de literatura adequada as propostas do estudo, foi possível concluir que o uso dos EPIs é crucial na proteção aos colaboradores responsáveis pela coleta dos resíduos sólidos, pois estão expostos à muitos riscos na execução do trabalho.
Student Team Achievement Division Method To Increase Motivation To Learn The History Of Islamic Culture Class VI
Authors: Insani Isya Mulia
Published: March 2023

This study aims to determine and analyze the effectiveness of the method of sharing the achievements of student teams in improving student learning motivation in history subjects.MI Terpadu Ar Roihan Lawang, Jalan Monginsidi No. 2 Lawang, Malang through the method of sharing the achievements of the student team used in studying the history of Islamic culture, is expected to overcome a large decrease in motivation because from the perspective that the history of Islamic culture is a complicated and boring lesson, especially in the material know Walisongo. This research is motivated by the number of students who are less enthusiastic about participating in learning activities to get to know Sunan Drajat. Students of Class VI Gaza as a subject of study. During the implementation of the study was conducted three times.Data collection techniques through observation methods, interview methods, and documentation methods. The findings of the study, student learning motivation in the first cycle by 20%, increased in the second cycle by 73.3%, and continues to grow as expected, up to 86.7%, in the third cycle, 13 of 15 students who attended classes have had excellent and good learning motivation. Because the increase in learning motivation has reached more than 75%, it is considered effective and successful
Towards Scalable Secure Syslog Compatible Remote Logging
Authors: Irwin Barry V. W. , Loyola Franco
Published: March 2023

This research explains both why logging is useful and why the integrity of logs and the logging process is important. This is followed by a discussion of the design and implementation of a high-performance secure logging framework, implemented in Golang (Go). This is implemented as a server-client for *nix-like systems, with a focus on security first. While a custom protocol is introduced for security, the server remains compatible with traditional syslog log messages, albeit without the added performance and security features. The functionality of the implementation is reflected on along with preliminary performance bench-marking. While most of the design goals are satisfied, one notable area of concern is the performance hit caused through the use of RSA encryption. Aside from this the system was found to perform well with logging rates in excess of 20 thousand events per second achieved. The work concludes with some suggestions for improvements and future work.
An Exploration of the Adoption of DNSSEC by Businesses within the Norwegian ccTLD
Authors: Irwin Barry V.W. , Johnsen Christoffer Thorske
Published: March 2023

The Domain Name System Security Extension (DNSSEC) is a cryptographic extension to the Domain Name System (DNS). The DNSSEC gives the DNS hierarchy a chain of trust from the root zone all the way down to the domain. By utilising DNSSEC, the client can verify that the DNS server’s response has not been tampered with in transit using strong trustworthy cryptographic algorithms. This paper presents a pilot research into the adoption of DNSSEC in Norwegian (.NO) ccTLD. The data set investigated in this researched a collection of Norwegian businesses that have a domain within the Norwegian ccTLD. This research found out that the Norwegian ccTLD adoption rate is amongst one of the highest compared to other ccTLDs. The DNSKEY resource records (RRs) collected in this research were used to identify some potential weaknesses. These possible weaknesses include the algorithm used, how long validity there was on the DNSKEY, and shared DNSKEY values across multiple domains.
Exploring the Intelligent Attributes of Industrial 4.0: The Next Revolution and Beyond
Authors: Omoregbee Henry O. , Olanipekun Mabel U.
Published: March 2023

Industry 4.0 places a strong emphasis on connection, automation, machine learning and real-time data. With these descriptions, intelligent/smart manufacturing that incorporates people, technology, and other resources has undergone a significant revolution leading the globe to the new era of Industry 5.0. Responding to disruption by employing intuition to decide what to do in a changing circumstance has grown to be highly attractive and exciting, even when it has never been utilized before. The domains of modern intelligent systems and computers have also made major strides in recent years. Examples include soft computing, computational intelligence, which encompasses evolutionary computing, neural networks, fuzzy systems, and the fusion of various paradigms. Others include immune-based systems, ambient intelligence, cognitive science, computational neuroscience and systems, perspective and vision, DNA, intelligent decision-making, and support etc. This technological breakthrough has also made room for new and emerging technologies that offer important advantages including extreme low latency, highly reliable connections, sufficient bandwidth, ample data storage, and powerful processing capabilities. This paper provides a comprehensive overview of what smart/intelligent systems include, as was observed in an ongoing project where such devices were designed, and what to anticipate from the 4.0, 5.0, and 6.0 industrial revolutions.
Cryptojacking Malware Detection in Docker Images Using Supervised Machine Learning
Authors: Saide Saide Manuel , Sarmento Ednilson Luis Alfredo , Ali Felermino D. M. A.
Published: March 2023

Nowadays, Docker Containers are currently being adopted as industry standards for software delivery, because they provide quick and responsive delivery and handle performance and scalability challenges. However, attackers are exploiting them to introduce malicious instructions in publicly available images to perform unauthorized use of third-party’s computer resources for Cryptojacking. We developed a machine learning based model to detect Docker images that lead to cryptojacking. The dataset used is composed of 800 Docker images collected from Docker hub, half of which contains instructions for cryptomining, and the other half does not contain such instructions. We trained 10 classification algorithms and evaluated them using the K-Fold Cross Validation approach. The results showed accuracy scores ranging from 89% to 97%. Stochastic Gradient Descent for Logistic Regression outperformed the other algorithms reaching an accuracy score of 97%. With these results, we conclude that machine learning algorithms can detect Docker images carrying cryptojacking malware with a good performance.
Effects of Demographic Characteristics on the Electronic Health Management Information System (eHMIS) Functions in Tanzania
Authors: Donald Stephen Bahati , Lwoga Edda Tandi
Published: March 2023

We assessed the use of Electronic Health Management Information – eHMIS – and the influence of demographic characteristics on the eHMIS functions. In particular, we explore changes in the usage of eHMIS among health workers. We also determined the effects of demographic characteristics on the usage of eHMIS and assessed any improvement in the ability to use eHMIS after its development. A mixed research design approach was adopted. The respondents were the clinical and non-clinical staff. Data was collected using interviews and questionnaires in three phases: baseline, midline, and final survey. The findings revealed an increase in the frequency of use of the eHMIS for entering and searching data entry from the midline to the final review. Apart from entering data, browsing, and retrieving previously recorded data, other eHMIS functions were not affected by demographic characteristics. On self-efficacy, there was an increase in health workers who felt comfortable using the system in the final survey compared to the baseline survey. In conclusion, enough training, user experience, and support from the management are very important in effective eHMIS implementation.
A Real-Time Notification System for Traffic Congestion on South African National Routes
Authors: Langa Makhulu Relebogile , Moeti Michael Nthabiseng
Published: March 2023

Transportation is an integral part of our daily life, and now with an ever increasing number of cars on the roads, traffic congestion is inevitable. Traffic congestion has a huge impact on service delivery and, in turn, on the economy of the country. Social network has revolutionized our lives, and commuters are now able to vent their frustrations and post live updates regarding these congestions. Social networks have enabled humans to become active live sensors participating in the network communication paradigm. This paper leverages Naïve Bayes classifier of Artificial Intelligence (AI) for data classification, .NET MAUI framework for application development, Social Network Scraping tool for collecting traffic congestion data from Twitter, and Sklearn library of Python to prepare, clean, and make meaning out of the Twitter data. The outcome of the notification system will assist commuters to plan their trips efficiently using alternative roads as suggested by the real-time traffic congestion notification system developed.
Investigating the Barriers of ICT use in Teaching and Learning at Public Schools in South Africa
Authors: Ramafi Pelonomi
Published: March 2023

Information and Communication Technology (ICT) has reshaped the field of pedagogy in many different ways. The increasing use of ICT tools in teaching and learning cannot be overlooked. Learners who are abreast with technology are independent and relieve overreliance on educators regardless of the geographical distance. ICT is important within the education sector as a means of enhancing the process of teaching and learning in a classroom. Despite the value of effective use of ICT tools, the South African government, having designed the curriculum to support effective ICT use in teaching and learning, and to some extent having provided ICT tools in public schools, there are still challenges in the effective adoption of ICT tools in teaching and learning. The purpose of this study is to investigate the barriers of ICT tools use in teaching and learning and propose guidelines in teaching and learning at public schools. The study used a mixed-method and data was collected from public school teachers through a questionnaire composed of both qualitative and quantitative variables. To gain further insight, educationalists were also interviewed. It was discovered that there are multiple challenges that hinder the adoption of ICT in public schools. Key challenges identified in the study include a lack of ICT relevant skills, lack of ICT infrastructure, poor IT support, lack of efficacy from the level of teachers, and attitude were amongst many other influencers to non compliance. The study recommends that the government adopt an ICT framework that will advocate for unison in ICT policy from all walks of government (district, provincial, and national) and also mandate and incentivize use of ICT by teachers in teaching and learning.
Evaluation of Mauritian IPv4 address space within Internet Background Radiation data
Authors: Irwin Barry V.W.
Published: March 2023

This paper explores the contribution made by IPv4 address space attributable to Mauritian organisations to the Internet Background Radiation (IBR). Data spanning a duration of 19 months starting in January 2021, from six discrete network telescopes is used as the basis for the analysis. A decomposition of the traffic is presented considering top origins by both ASN and netblock. An analysis is presented on the top 10 targeted TCP ports across the data. Alongside this an exploration is done into some of the more unusual probing for known vulnerable services that was observed. A determination of the reflected traffic and consideration of identified anomalies concludes the analysis. Mauritian IP address space is found to be relatively well regulated, and not have a large population of contributors to IBR either via active scanning or via reflected traffic.
How Working from Home has Affected South African Industries? A Cybersecurity Culture Perspective
Authors: Shibambu Avuya , Moganedi Sophia
Published: March 2023

The notion of working from home is not a new concept. However, it has become a buzzword amidst the COVID19 pandemic. Some scholars were already engaging in the work-from-home (WFH) concept a few years before the pandemic. However, contextualization of this concept from a South African perspective only became compelling during COVID19 times, when various industries had to shift their focus and adjust rapidly. This paper aims to investigate through literature reviews, and to understand the cybersecurity challenges that emerged because of this adjustment. Moreover, to investigate South Africa’s readiness and the lessons learned from this significant shift.
A review on the criteria for adoption of cloud computing in South African Institutions and Business enterprises
Authors: Thobejane Motlokwe , Mogale Hope , Esiefarienrhe Michael B
Published: March 2023

Cloud computing has taken over the IT industry. Big enterprises such as Oracle, Microsoft and Amazon have developed world class state of the art products and services for Cloud Computing. These products serve and the needs and power many corporations, business institutions and enterprises across the world. Cloud computing is continuing to growing and attracting more businesses and birthing and transforming industries such as music streaming and online gaming. As we progress and move towards a 5G and become a 4th industrial society more cloud computing products and services will be developed and used. However, there are many issues that arise such as stability, reliability, security and fraud. Addressing these problems introduces complexity towards adopting cloud comput ing for small business enterprises leaving only big enterprises to be able to afford reliable cloud computing products. There are many outstanding works that have been previously published by scholars on cloud computing. This research paper provides a systematic review and a summary of some the outstanding works of scholars recently published and the different criterias used for clouding computing adoption by South African Institutions and Business enterprises.
The Impact of Smartphones on Student Creativity at a South African University
Authors: Kyobe Ronald , Roodt Sumarie , Mulaji Sarah Mulombo
Published: March 2023

Research indicates a general increase in smartphone ownership, with the student population being the leading proportion. Among other notable effects of this change could be an enhanced collaboration between learners and lecturers on the one hand, and an increase in sleep deprivation and attention deficits in students on the other hand. Such unsettling revelations call for the investigation of the impact of smartphones on learning outcomes. This paper investigates the impact of smartphones on students’ creativity. Based on the interactions and outcomes theory, the study assesses how smartphone-facilitated processes, person-to-smartphone interaction, and smartphone-enabled environment affect students’ creativity. A hundred and five (105) students at a South African university were surveyed using online questionnaires. General Linear Model (GLM) MANOVA was used as the analysis method. The results reveal that only smartphone facilitated processes and student-to-smartphone interaction significantly affect student creativity. This signals smartphones’ potential in setting a learning environment supporting student creativity at the individual level. Universities could leverage this potential to design better learning management systems that integrate smartphones to improve learning outcomes.
Artificial Intelligence Hybrid Algorithm for System Reconfiguration to Reduce Power Losses in the Distribution System
Authors: Ntombela Mlungisi , Kabeya Musasa , Leoaneka Moketjema Clarence
Published: March 2023

A number of algorithms that aim to reduce power system losses and improve voltage profiles by system reconfiguration have already been proposed, but they are still subject to several limitations. Hence, new algorithms can be developed, or existing ones can be improved so that this important issue can be addressed more appropriately and effectively. To understand smart grids, distribution network, which is a key component of Distribution System Reconfiguration (DSR), is presented in this study as an accurate and effective solution. To determine the intended optimum reconfiguration and effectively rearrange the connectivity of the distribution networks, it uses a variety of heuristic optimization techniques. In this paper, a hybrid artificial intelligent method, made up of the genetic algorithm (GA) and particle swarm optimization (PSO), is developed. Using the standard IEEE 33-bus distribution network on MATLAB, the proposed method's validity and efficacy have been evaluated. The findings demonstrate the proposed approach's robustness and demonstrate that it minimizes the average power loss of independent runs while requiring less processing time. The comparison of results shows that HGAPSO has a better solution than GA and PSO.
Clustering of the West African Starchy Roots and Tubers using Nutritive Value
Authors: Atsa’am Donald Douglas , Wario Ruth
Published: March 2023

The objective of this study was to sub-group the West African starchy roots and tubers’ food sources according to their nutritive values. The k means algorithm was deployed on a dataset consisting of starchy roots and tubers food items extracted from the West African Food Composition Table. Various measures of evaluating clustering validity were employed and the results showed that the clustering was valid. Three clusters were extracted, each consisting of food sources that are very similar in nutritive value. Findings prove that in terms of nutritive value, some kinds of yam and cassava could be classified together, while some kinds of sweet potato and cocoyam could also be classified together, and so on. The clusters can be explored by nutritionists, dieticians, food processing enterprises, and food scientists to find alternative food sources when their original choices are unavailable. Though clustering validation showed that food sources within the same cluster are significantly similar on a general note, a future study is required to research on the extent to which food sources within the same cluster are similar to each other at a granular level.
An Hybrid Part of Speech Tagger for Setswana Language using a Voting Method
Authors: Dibitso Mary , Owolawi Pius A. , Ojo Sunday O.
Published: March 2023

Part-of Speech (PoS) tagging is a corpus linguistics that deals with assigning appropriate lexical categories to each word in a sentence. To effectively address challenges associated with PoS tagging, several Natural Language Processing (NLP) tasks modelling techniques have been employed, including Conditional Random Fields (CRF), Support Vector Machines (SVM), and Decision Trees in diverse languages. These PoS taggers implement the process of associating the correct PoS (nouns, verbs, adjectives, adverbs, etc.) with each word in a sentence. However, creating language resources is an expensive process for many languages, including the indigenous languages of South Africa that are classified as resource-scarce. Therefore, using Setswana as a language with limited resources, this study explores and applies methods to increase the utilization of existing resources and tagger accuracy. This is done using Setswana's two PoS taggers: a Maximum Entropy (MaxEnt) and an SVM, which achieved an accurateness of 94.4 per cent and 95.59 per cent respectively. To find errors in the taggers, an error analysis is carried out. The Setswana PoS Tagger was then built using a voting algorithm to improve results and attain 97.06 per cent accuracy. The combination of taggers reduces the error rate by up to 2.01 per cent.
Spectrum Optimization of Low Power Wide Area Network Utilization in Smart Cities
Authors: Fadeyi Johnson , Elisha Markus
Published: March 2023

The discovery of this great technology known as Low Power Wide Area Networks (LPWANs) has significantly altered the way we live in a positive way. It is a technology with low power and long range capabilities with impacts that cannot be overemphasized. The impacts range from making cities better with quality living, the environment with quality air and humidity, efficient waste disposal systems, smart metering systems, and traffic free road management to more efficient transportation. Our research focused on the optimization of the unlicensed spectrum occupied by LPWANs using cognitive radio and its utilization in smart cities. In this research, we proposed the spectrum sharing model and carried out our simulations using MATLAB. We discovered that the spectrum sharing model brought about an increase in channel capacity and a decrease in latency, which are basic parameters that determine the performance of the spectrum. After the research, there was a significant improvement in spectrum performance leading to higher quality of service (QoS).
Evaluating the Effectiveness of Machine Learning Algorithms in Detecting Distributed Denial of Service Attacks in Mobile Edge Computing
Authors: Chaki Emmanuel Sibusiso , Mapunya Sekgoari Semaka , Chaki Emmanuel Sibusiso , Velempini Mthulisi
Published: March 2023

Mobile Edge Computing (MEC) is the last mile technology in 5G designed to reduce latency and to execute delay-sensitive applications closer to the end-user. MEC is also known as Multi-Access Edge Computing, which extends the capabilities of cloud computing to the network's edge and brings more capabilities closer to the user. By deploying cloud capabilities to the edge servers, MEC reduces latency and delay. As a result, the end-user experience is enhanced. Unfortunately, the MEC is susceptible to security challenges. Therefore, security is a challenge that requires attention. This paper investigates and compares the effectiveness of machine learning algorithms designed to detect distributed denial of service (DDoS) attacks in MEC. DDoS is one of the security concerns that are negating the advantages of MEC. It degrades the performance of the network. In this work, network and application layer DDoS attacks were considered. The study observed that the Support Vector Machine outperformed other machine learning techniques, and the findings are fundamental to the development of our proposed security framework for MEC.
Optimal Video Compression Parameter Tuning for Digital Video Broadcasting (DVB) using Deep Reinforcement Learning
Authors: Motaung William B. , Ogudo Kingsley A. , Chabalala Chabalala S.
Published: March 2023

DVB (digital video broadcasting) has undergone an enormous paradigm shift, especially through internet streaming that utilizes multiple channels (i.e., secured hypertext transfer protocols). However, due to the limitations of the current communication network infrastructure, video signals need to be compressed before transmission. Whereas most recent research has concentrated and focused on assessing video quality, little to no study has worked on improving the compression processes of digital video signals in lightweight DVB setups. This study provides a video compression strategy (DRL-VC) that employs deep reinforcement learning for learning the suitable parameters used in digital video signal compression. The problem is formulated as a multi-objective one, considering the structural similarity index metric (SSIM), the delay time, and the peak signal-to-noise ratio (PSNR). Based on the findings of the experiments, our proposed scheme increases bitrate savings while at a constant PSNR. Results also show that our scheme performs better than the benchmarked compression schemes. Finally, the root means square error values show a consistent rate across different video streams, indicating the validity of our proposed compression scheme.
Improving Accuracy of Credit Card Fraud Detection Using Supervised Machine Learning Models and Dimension Reduction
Authors: Pitsane Malehlohonolo Yvonne , Mogale Hope , Rensburg JT Janse van
Published: March 2023

Credit card fraud is a serious crime, and it is a common type of identity theft. Financial institutions and consumers are experiencing economical losses due to financial fraud caused by credit card transactions. Machine Learning Models can aid and alleviate credit card fraud by providing real time detection of credit card fraud before it takes place. The problem that arises with machine learning models is poor performance in terms of accuracy if the data objects in dataset have high dimensionality. In this paper we have tested and compared six machine learning models in detecting credit card fraud. Furthermore, dimension reduction techniques was used to improve the performance of these machine learning models. The results show improved accuracy on the machine learning models after applying dimension reduction and removing anomalies and imbalance.
Towards Fault Tolerance Management Systems in SDN
Authors: Mbodila Munienge
Published: March 2023

The issue of network operation, monitoring, and availability in traditional network environments has been one of the major challenges to addressing network administrators' struggles to deal with. The capacity for the network to comprehend the status and the performance of every node has been one of the priorities amongst others for network administrators to protect during troubleshooting in their network. However, the growing use of software-defined networks (SDN) technologies, as well as virtualization, pave the way to the solution of network operation, monitoring, and availability of hardware and services in a network environment. SDN has emerged with a novel paradigm of network abstractions that is dynamic, able to monitor network performance and fault management automatically, using its programmable capability. This paper presents a design of a fault tolerance management system for SDN controller framework for small to medium sized networks capable of detecting controller faults and nodes/links faultsin case entire network access is unavailable. The fault management system applies various approaches for fault detection and recovery to ensure the reliability and availability of the network resources.
Hubungan Antara Faktor Individu dan Terjadinya Kelelahan (Fatigue) pada Pekerja Kantor di Masa Transisi Pandemi ke Endemi Covid-19
Authors: Hernayanti Magfira Adha , Kurniawidjaja L Meily
Published: March 2023

Pandemi Covid-19 mengubah hampir di segala aspek kehidupan manusia, termasuk aspek tenaga kerja. Kebijakan Work from Home (WFH), Work Form Office (WFO), dan hybrid (WFH+WFO) menyebabkan jam kerja yang tidak teratur. Hal ini menyebabkan kelelahan (fatigue) pada pekerja di masa transisi pandemi ke endemi Covid-19. Banyak faktor yang menyebabkan kelelahan kerja terjadi, salah satunya faktor individu. Penelitian ini bertujuan untuk mengetahui hubungan antara faktor individu (kehidupan sosial keluarga, kualitas tidur, kuantitas tidur, gangguan kesehatan, psikologis, dan perilaku tidak sehat) dengan terjadinya kelelahan pada pekerja kantor di masa transisi pandemi ke endemi Covid-19. Pengambilan data dilakukan menyebarkan kuesioner melalui google form kepada 202 responden pekerja di DKI Jakarta. Analisis statistik bivariat dengan Chi-Square dan analisis multivariat dengan regresi logistik ganda digunakan dengan bantuan perangkat lunak SPSS v 21. Hasil menunjukkan bahwa dari uji Chi-Square, kualitas tidur (p 0,001), gangguan kesehatan (p 0,016), kehidupan sosial keluarga (p 0,012) dan perilaku tidak sehat (p 0,033) memiliki hubungan yang signifikan terhadap kejadian fatigue. Sementara hasil dari uji regresi logistik model prediksi, variabel kualitias tidur (p 0,017; OR 2,729), gangguan kesehatan (p 0,014; OR 2,484) dan perilaku tidak baik (p 0,010; OR 2,579) memiliki pengaruh terhadap kejadian fatigue. Kesimpulannya dari penelitian ini adalah kualitas tidur yang tidak baik, adanya gangguan kesehatan dan keadaan psikologis yang kurang baik dapat mempengaruhi kejadian fatigue pada pekerja di DKI Jakarta selama masa transisi pandemi ke endemi Covid-19.
A Review of Bioinformatics for Primatologists: A Note for Reducing Living Primate Model and Supporting the Conservation
Authors: Al Hakim Rosyid Ridlo , Nasution Erie , Rukayah Siti , Putri Esa , Riani Sri
Published: March 2023

The problem is that bioinformatics, as a part of health informatics, plays a role in studying molecular things and genetic studies. Primatologists who studied primates, as well as non-human primates (NHPs), found a dilemma relating to biomedical studies and conservation. Which one to achieve, the goal of being a model animal or their conservation efforts, of course, has very few boundaries. The solution in this study tries to review how to seek to reduce the quantity of NHPs model animals but not reduce their quality, on the other hand, considerations of conservation efforts. The research contribution in this paper proposed authors' perspectives according to the context of the NHPs model as well as conservation efforts, which are considered for dry or wet materials, which means that the genetic resources come. This study would give the 3Rs principle idea, reducing, which contributes to its conservation efforts. This review method used literature surf, scientific selection, and report writing. The result proposed the discussion about related scientific sources as well as the authors' perspective to solve the problem of animal model uses in NHPs. The conclusion is that NHPs are fortunate to receive special attention outside their studies as animal models, even though they are still used in research to benefit humans. Of course, the benefits and drawbacks of using genetic samples—whether wet or dry—are only relevant when used as research materials for medical and bioinformatics investigations. So that there are no more instances of increasing conservation status brought on by the volume of research on the use of model animals, efforts to conserve NHPs as a component of wildlife in nature must be considered.
Private Blockchain in the Field of Health Services
Authors: Purwono Purwono , Nisa Khoirun , Sony Kartika Wibisono  , Bala Putra Dewa
Published: March 2023

Blockchain is a technology that is quite popular and has been adopted in various fields in recent years. This technology has caught the attention of researchers in the health sector because of its innovation which is considered capable of providing the necessary guarantees for the safe processing, sharing, and management of sensitive patient data. There are many problems with falsifying reports and withholding important information from patients, which is considered medical fraud. Hyperledger, a type of private Blockchain, is very suitable for healthcare applications. A private blockchain is a restricted type of blockchain network created by an entity. This type of network is limited to those with access permissions. In addition, private blockchains usually use a centralized verification system and are controlled by the network's creators. Hyperledger Fabric is one example of a permissioned blockchain that can play a role in implementing patient-centric, interoperable healthcare systems
Review of Internet of Things (IoT) and Blockchain In Healthcare: Chronic Disease Detection and Data Security
Authors: Rubaeah Siti , Mangkunegara Iis Setiawan , Purwono Purwono
Published: March 2023

The role of Internet of Things (IoT) technology continues to increase in various fields, especially health. IoT can connect doctors with their patients via the Internet. Portable IoT-based health monitoring devices can significantly reduce the distance between patients and doctors. The important influence of IoT technology in the health sector can be seen from its efficiency and important role in developing and improving the quality of health services. IoT is the last Internet revolution that allows integrity between machines and objects. Developers and users still have to pay attention to data security, considering that medical history is a matter of privacy for some people. Blockchain technology has been predicted by the industry and research community as a secure, fast, reliable and transparent solution for IoT-based systems. Most blockchain technology is used for data management operations in the IoT-based health sector, which improves data security, including data integrity, access control, and maintenance of privacy.