bluuebunny/crossref_metadata_2025 huggingface dataset:
Hierarchical and K-means Clustering in the Line Drawing Data Shape Using Procrustes Analysis
Authors: Ananda Ridho , Prasetiadi Agi
Published: January 2022

One of the problems in the clustering process is that the objects under inquiry are multivariate measures containing geometrical information that requires shape clustering. Because Procrustes is a technique to obtaining the similarity measure of two shapes, it can become the solution. Therefore, this paper tried to use Procrustes as the main process in the clustering method. Several algorithms proposed for the shape clustering process using Procrustes were namely hierarchical the goodness-of-fit of Procrustes (HGoFP), k-means the goodness-of-fit of Procrustes (KMGoFP), hierarchical ordinary Procrustes analysis (HOPA), and k-means ordinary Procrustes analysis (KMOPA). Those algorithms were evaluated using Rand index, Jaccard index, F-measure, and Purity. Data used was the line drawing dataset that consisted of 180 drawings classified into six clusters. The results showed that the HGoFP, KMGoFP, HOPA and KMOPA algorithms were good enough in Rand index, F-measure, and Purity with 0.697 as a minimum value. Meanwhile, the good clustering results in the Jaccard index were only the HGoFP, KMGoFP, and HOPA algorithms with 0.561 as a minimum value. KMGoFP has the worst result in the Jaccard index that is about 0.300. In the time complexity, the fastest algorithm is the HGoFP algorithm; the time complexity is 4.733. Based on the results, the algorithms proposed in this paper particularly deserve to be proposed as new algorithms to cluster the objects in the line drawing dataset. Then, the HGoFP is suggested clustering the objects in the dataset used.
Indonesian Online News Extraction and Clustering Using Evolving Clustering
Authors: Alfian Muhammad , Barakbah Ali Ridho , Winarno Idris
Published: January 2022

43,000 online media outlets in Indonesia publish at least one to two stories every hour. The amount of information exceeds human processing capacity, resulting in several impacts for humans, such as confusion and psychological pressure. This study proposes the Evolving Clustering method that continually adapts existing model knowledge in the real, ever-evolving environment without re-clustering the data. This study also proposes feature extraction with vector space-based stemming features to improve Indonesian language stemming. The application of the system consists of seven stages, (1) Data Acquisition, (2) Data Pipeline, (3) Keyword Feature Extraction, (4) Data Aggregation, (5) Predefined Cluster using Automatic Clustering algorithm, (6) Evolving Clustering, and (7) News Clustering Result. The experimental results show that Automatic Clustering generated 388 clusters as predefined clusters from 3.000 news. One of them is the unknown cluster. Evolving clustering runs for two days to cluster the news by streaming, resulting in a total of 611 clusters. Evolving clustering goes well, both updating models and adding models. The performance of the Evolving Clustering algorithm is quite good, as evidenced by the cluster accuracy value of 88%. However, some clusters are not right. It should be re-evaluated in the keyword feature extraction process to extract the appropriate features for grouping. In the future, this method can be developed further by adding other functions, updating and adding to the model, and evaluating.
Virtual Reality (VR) in Superior Education Distance Learning: A Systematic Literature Review
Authors: Christian Bernuy , Salvador Chumbe , Christian Garcia
Published: January 2022

Virtual Reality (VR) is one of the most popular contemporary technologies and it is widely used in the videogame industry, nonetheless, this does not restrict its use in other areas of science, such as medicine or education. Due to the large commotion caused by the appearance of Covid-19, long distance virtual education technologies (e-learning) are being used. With this context, virtual reality is the focus of this study, which had the objective of understanding the work done in superior education at a distance, through the use of VR, by doing a systematic literature review (SLR; LSR in Spanish). The results reveal that the use of VR in education can improve the experience, motivation and the comprehension of abstract concepts for the students, offering them an immersive environment in which they can interact and achieve effective learning. It was concluded that the works that were reviewed regarding the topic evidence a strong growth in the application of VR in education, which in their majority, employ experimental comparative methods between groups of students which use VR when compared to others who use the traditional method.
Implementation of an Integrated Online Class Model using Open-Source Technology and SNS
Authors: Ho Won , Lee Dae-Hyun , Kim Yong
Published: January 2022

Before Covid-19, the class model was divided into online, offline, and blended learning. Due to Covid-19, we have the only online class environment. We need a new online class model under the new circumstances. In the new model, all technology and educational methods need to be well-adapted, organized and harmonized to compensate for the absence of offline learning sessions. In this paper, we propose a new online class model. Because of the absence of offline sessions, the model emphasizes the integration of synchronous and asynchronous activities seamlessly and effectively. The model also emphasizes the instructor's role as a content prosumer because the instructor in the new model is either reusing other's and the one's own contents or supplying those contents for others. This model uses open-source solutions or free services like Moodle, OBS, Tubestory, and Snap Camera for both budget-saving and stability purposes. It actively uses Moodle's monitoring capability and adopts various learning technologies. It consists of three activity sessions: a pre-Zoom session, a Zoom session, and a post-Zoom session. Each session is composed of modules that describe the process and action for the class. The process, methods, and techniques for each module are explained in this paper. The official students survey for class evaluation held by Kongju national university showed that the new class model's application obtained a higher score than the same class of the previous year that is performed by conventional teaching.
Artificial Intelligence in Automated Bookkeeping: A Value-added Function for Small and Medium Enterprises
Authors: Azman Nurul Akmar , Mohamed Azlinah , Jamil Amsyar Mohmad
Published: January 2022

Bookkeeping plays a vital role in dealing with records of day-to-day financial transactions from invoices until payment. It is also a method of documenting all company transactions in order to create a collection of accounting documents. Studies show that an evolution of bookkeeping management from manual record keeping to electronic record keeping had simplified most burden of bookkeepers as well as more reliable and accurate. Bookkeeping includes, in particular, classifying items correctly and entering financial details into an accounting system. However, with the rise of artificial intelligence, automated bookkeeping system is common to large businesses tasks at real time with hassle free. The system will function more than just journal management but also a decision-making tool to any businesses. Despite the benefits of the system, many small and medium enterprises especially in Malaysia still hesitate to implement the system. Artificial intelligence will further improve automated bookkeeping making it simpler and efficient for all levels of businesses. This paper presents an Artificial Intelligence perspective and methods used in automated bookkeeping focuses on invoices processes such as Optical Character Recognition (OCR), for document recognition, machine learning and auto journal record entries. Besides that, its challenges to be implemented in small and medium enterprise. The result of these studies highlighted benefits in the automated bookkeeping process to suit Malaysian small and medium enterprises. Future work will look at the suggested intelligence features to be implemented for a more efficient automated bookkeeping for small and medium enterprise.
Cloud Computing Issues, Challenges, and Needs: A Survey
Authors: Aljanabi Mohammad , Abd-Alwahab Shams N. , Saedudin RD Rohmat , Ebraheem Hind Raad , Defni - , Hadi Ronal , Ismail Mohd Arfian
Published: January 2022

Cloud computing represents a kind of computing that is based on the sharing of computing resources instead of possessing personal devices or local servers for handling several applications and tasks. This kind of computing includes three distinguished kinds of services provided remotely for clients that can be accessed by using the Internet. Typically, clients work on paying annual or monthly service fees for suppliers, in order to gain access to systems that work on delivering infrastructure as a service, platforms as a service, and software as a service for any subscriber. In this paper, the usefulness and the abuse of the cloud computing are briefly discussed and presented by highlighting the influences of cloud computing in different areas. Moreover, this paper also presents the kinds and services of cloud. In addition, the security issues that cover the cloud security solution requirements, and the cloud security issues, which is one of the biggest issues in recent years in cloud computing were presented in this paper. The security requirement that needs by the cloud computing covers privacy, lack of user control, unauthorized secondary usage, and finally data proliferation and data flow. Meanwhile, the security issues cover including ownership of device, the trust issue and legel aspects. To overcome the security issues, this paper also presents the solution at the end of this paper.
Assistive Devices to Help Correct Sitting-Posture Based on Posture Analysis Results
Authors: Lee Seung-Min , Kim Hyeon-Ju , Ham So-Jeong , Kim Sunhee
Published: January 2022

As many people spend a lot of time sitting on a chair, diseases such as turtle neck, straight neck, caused by incorrect posture have been increasing. Preventing these diseases and treating initial symptoms is helpful just by sitting properly. However, when people sit, their postures become disturbed without their knowledge. In this paper, we propose an assistive device in the form of a chair that helps people to sit properly and helps correct their sitting posture. The assistive device is equipped with pressure sensors capable of measuring the distribution of pressure applied to the floor of the chair, and an ultrasonic sensor capable of measuring the distance between the user's back and the chair back. First, an ultrasonic sensor and pressure sensors are used to determine the user's posture, and if the user's posture is not correct, an alarm is sent to the user to help the user to correct the posture by himself. Second, stretching information is provided according to the degree of distribution of pressure measured by the pressure sensors, and pressures are applied to the user's back with press-type cushions to help the user sit in a correct posture. In addition, even when sitting in a chair for a long time, an alarm is triggered to induce a person to rise from the chair. After implementing the system based on Raspberry Pi, each operation was checked. Furthermore, it was confirmed through the experiment participants that the proposed assistive device can help people correct their sitting posture.
A Packet Delay Assessment Model in the Data Link Layer of the LTE
Authors: Amirsaidov Ulugbek , Qodirov Azamat
Published: January 2022

The issues of modeling and evaluating the characteristics of the LTE data link layer functioning are considered. Transmitting packets in the data link layer are represented by a probabilistic-temporal graph consisting of two subgraphs. The ï¬rst subgraph describes the operation of the HARQ protocol, and the second subgraph describes the operation of the ARQ protocol. The ï¬rst subgraph is nested within the second subgraph. The probabilities of correct reception, non-error detection, and retransmission of packets in the MAC and RLC layers and generating functions of the packet service time based on the HARQ and ARQ protocols are determined. With the help of generating functions, the average value, variance, and coeï¬ƒcient of variation of the packet service time are determined. To calculate the average packet delay time in the LTE data link layer, the type of queuing system is selected, taking into account the coeï¬ƒcient of variation of the packet service time. The analysis of packets' delay time in the network's data link layer is carried out for diï¬€erent values of the intensity of packet arrival and the probabilities of a bit error in the physical layer of the network. For the sustainable functioning of the data link layer of the network, the limit values of the intensity of the arrival of packets are determined for a given probability of a bit error in the physical layer of the network.
Blockchain in Supermarkets: Mitigating the Problem of Organic Waste Generation
Authors: Egatz Wozniak Marcos , ValdÃ©s-GonzÃ¡lez HÃ©ctor , Reyes-Bozo Lorenzo
Published: January 2022

This work presents a proposal for a solution to the specific problem of organic waste generated by supermarkets and understood as t merchandise of organic and perishable composition that could not be marketed during its validity period. The goal of this research is to propose a solution based on Blockchain technology in Chile, which would allow an immutable, decentralized, and validated transaction record to be kept. Such a record would enable supermarkets to trace the life cycle of those products that make up organic and perishable merchandise in a transparent, reliable, and scalable way. To this end, the problem is modeled using the Blockchain Hyperledger Fabric platform (an open-source platform started by the Linux Foundation), which is fed with relevant information and data on the status of a representative set of organic merchandise products. At the same time, a qualitative approach is proposed to gather the opinions of executives and logistics operators through semi-structured interviews, and considering a convenience sample. With a sample of 6 executives, it is understood how the proposal is perceived and its applicability in supermarkets and distributors. The data show that both obtaining information and making decisions about it are achieved in a distributed and collaborative way, allowing for reliable and agile traceability, thereby mitigating the low quality of the information provided by the actors that make up the supply chain. This service is perceived as desirable by both customers and operators.Â  The model enables not only horizontal communications between suppliers, distributors, and consumers, but also vertical ones, and thus, ultimately, makes the company's income statement more efficient.
Combining Deep Learning Models for Enhancing the Detection of Botnet Attacks in Multiple Sensors Internet of Things Networks
Authors: Hezam Abdulkareem A. , Mostafa Salama A. , Baharum Zirawani , Alanda Alde , Salikon Mohd Zaki
Published: January 2022

Distributed-Denial-of-Service impacts are undeniably significant, and because of the development of IoT devices, they are expected to continue to rise in the future. Even though many solutions have been developed to identify and prevent this assault, which is mainly targeted at IoT devices, the danger continues to exist and is now larger than ever. It is common practice to launch denial of service attacks in order to prevent legitimate requests from being completed. This is accomplished by swamping the targeted machines or resources with false requests in an attempt to overpower systems and prevent many or all legitimate requests from being completed. There have been many efforts to use machine learning to tackle puzzle-like middle-box problems and other Artificial Intelligence (AI) problems in the last few years. The modern botnets are so sophisticated that they may evolve daily, as in the case of the Mirai botnet, for example. This research presents a deep learning method based on a real-world dataset gathered by infecting nine Internet of Things devices with two of the most destructive DDoS botnets, Mirai and Bashlite, and then analyzing the results. This paper proposes the BiLSTM-CNN model that combines Bidirectional Long-Short Term Memory Recurrent Neural Network and Convolutional Neural Network (CNN). This model employs CNN for data processing and feature optimization, and the BiLSTM is used for classification. This model is evaluated by comparing its results with three standard deep learning models of CNN, Recurrent Neural Network (RNN), and long-Short Term Memory Recurrent Neural Network (LSTMâ€“RNN). There is a huge need for more realistic datasets to fully test such models' capabilities, and where N-BaIoT comes, it also includes multi-device IoT data. The N-BaIoT dataset contains DDoS attacks with the two of the most used types of botnets: Bashlite and Mirai. The 10-fold cross-validation technique tests the four models. The obtained results show that the BiLSTM-CNN outperforms all other individual classifiers in every aspect in which it achieves an accuracy of 89.79% and an error rate of 0.1546 with a very high precision of 93.92% with an f1-score and recall of 85.73% and 89.11%, respectively. The RNN achieves the highest accuracy among the three individual models, with an accuracy of 89.77%, followed by LSTM, which achieves the second-highest accuracy of 89.71%. CNN, on the other hand, achieves the lowest accuracy among all classifiers of 89.50%.
Intelligence Eye for Blinds and Visually Impaired by Using Region-Based Convolutional Neural Network (R-CNN)
Authors: Yee Lee Ruo , Kamaludin Hazalila , Safar Noor Zuraidin Mohd , Wahid Norfaradilla , Abdullah Noryusliza , Meidelfi Dwiny
Published: January 2022

Intelligence Eye is an Android based mobile application developed to help blind and visually impaired users to detect light and objects. Intelligence Eye used Region-based Convolutional Neural Networks (R-CNN) to recognize objects in the object recognition module and a vibration feedback is provided according to the light value in the light detection module. A voice guidance is provided in the application to guide the users and announce the result of the object recognition. TensorFlow Lite is used to train the neural network model for object recognition in conjunction with extensible markup language (XML) and Java in Android Studio for the programming language. For future works, improvements can be made to enhance the functionality of the Intelligence Eye application by increasing the object detection capacity in the object recognition module, add menu settings for vibration intensity in light detection module and support multiple languages for the voice guidance.
Monitoring Rice Crop and Paddy Field Condition Using UAV RGB Imagery
Authors: Abu Sari Mohd Yazid , Mohmad Hassim Yana Mazwin , Hidayat Rahmat , Ahmad Asmala
Published: January 2022

An effective crop management practice is very important to the sustenance of crop production. With the emergence of Industrial Revolution 4.0 (IR 4.0), precision farming has become the key element in modern agriculture to help farmers in maintaining the sustainability of crop production. Unmanned aerial vehicle (UAV) also known as drone was widely used in agriculture as one of the potential technologies to collect the data and monitor the crop condition. Managing and monitoring the paddy field especially at the bigger scale is one of the biggest challenges for farmers. Traditionally, the paddy field and crop condition are only monitored and observed manually by the farmers which may sometimes lead to inaccurate observation of the plot due the large area. Therefore, this study proposes the application of unmanned aerial vehicles and RGB imagery for monitoring rice crop development and paddy field condition. The integration of UAV with RGB digital camera were used to collect the data in the paddy field. Result shows that the early monitoring of rice crops is important to identify the crop condition. Therefore, with the use of aerial imagery analysis from UAV, it can help to improve rice crop management and eventually is expected to increase rice crop production.
Virtual Campus Tour Application through Markerless Augmented Reality Approach
Authors: Liang Ang Wei , Wahid Noorhaniza , Gusman Taufik
Published: January 2022

Augmented Reality (AR) technology has been widely used on campus tours by universities all around the world. However, the students that stay very far away do not have a chance to visit around the campus. Also, the information that is available on the official website is static, resulting in the visitors feeling less engaged with the information. Hence, the virtual campus tour application using the markerless AR technology, namely AR-UTHM Tour is proposed to be developed on the Android mobile-based platform to visualize the buildings and facilities that are available in the university, specifically Universiti Tun Hussein Onn Malaysia (UTHM). This approach allows the users to visualize the 3D models by pointing the camera at any flat surface. Then, the feature point will be generated to generate a virtual plane. The information about the facilities was obtained from the UTHM official website and the 3D models of the buildings were referred to the floor plan and the actual images. The user acceptance test has been conducted on 30 students of UTHM using Technology Acceptance Model (TAM). The result shows that more than 50% of the respondents have successfully executed the AR session without any error. Overall results show that the users are satisfied with the AR-UTHM Tour application. In conclusion, this application is suitable to be used as a medium to introduce and promote UTHM virtually. Future improvements in terms of detailing the aesthetic of the 3D model will be taken into consideration.
Українські паремії як репрезентанти текстової категорії інформативності
Authors: Калько Валентина
Published: January 2022

Статтю присвячено описові паремій як репрезентантів однієї з засадничих текстових категорій – інформативності. З огляду на знакову природу пареміям властива синтактика, виявлена в їхньому зв’язку з іншими знаками в мовному потоці, а отже, вони функціюють як структурно-змістові компоненти тексту, засоби його категорійної та концептуальної організації. Доведено, що прислів’я є одним із потужних засобів формування інформаційного масиву тексту, пов’язаного не лише зі свідомістю автора й адресата, а й із семіотичним універсумом культури. Як репрезентанти текстової категорії інформативності, паремії в текстах передають фактуальну, концептуальну, підтекстову інформацію. Для вираження фактуальної інформації слугують паремії вжиті з прямим значенням, зміст яких тотожний сумі значень складників і спроєктований на реальні факти, події, ситуації, процеси. Реалізуючи концептуальну інформацію, прислів’я функціюють як заголовки, епіграфи, сприяючи розгортанню основної ідеї тексту. У такому разі вони є засобами втілення авторської позиції. Пізнавальна роль паремій у передаванні концептуальної інформації пов’язана з їхньою здатністю конденсувати знання про світ, орієнтованістю на адресата, оскільки вони створюють чіткі сигнали адресованості, які активно впливають на сприйняття тексту, і наділені потужним впливовим ефектом. Прислів’я як заголовки й епіграфи сприяють експлікації концептуальної інформації тексту. Одним із продуктивних засобів створення підтексту є паремії метафорично-асоціативної природи, оскільки їхнє значення сприяє перетворенню й збагаченню асоціативно-образного змісту твору. Роль паремій у творенні підтекстової інформації пов’язана з їхньою здатністю породжувати додаткові смисли, завдяки своїй метафоричній природі, здатності до поєднання з іншими висловленнями, глибинній етнокультурній символіці.
Відонімні та відапелятивні назви в українському ергоніміконі
Authors: VINTONI MYKHAILO , VINTONIV TATIANA , SYDORENKO OLENA
Published: January 2022

Статтю присвячено дослідженню численних українських ергонімів, зокрема проаналізовано 29826 назв об’єктів готельного бізнесу, культурно-розважальних закладів, об’єктів торгівлі, перукарень та салонів краси, об’єктів надання медичних послуг та аптек, розташованих у обласних центрах та інших містах України. Більшість імен подано українською мовою, а також наявні імена, запозичені з інших мов. Основний спосіб утворення назв – відапелятивний. Запропоновано типологію ергонімів, які умовно поділено на п’ятнадцять підгруп: патріотичні та фольклорні назви; ергонімі з незавуальованою вказівкою на вид діяльності; назви з частково завуальованою семантикою; лексеми з вказівкою на якість умов та послуг; абстрактні відапелятивні назви романтичного або фантазійного плану; найменування, утворені від назв рослин із позитивною конотацією; ергоніми, утворені від назв тварин із позитивною конотацією; найменування, утворені від назв дорогоцінних каменів; назви-демінутиви, які вказують на невеликий розмір закладу; назви зі вказівкою на природні реалії; назви з вказівкою на особливості місця розташування; словосполучення з лексемою золотий/а/е; словосполучення з лексемою старий/а/е; словосполучення з лексемами на позначення кольору; назви з вказівкою на гендерну спрямованість. Всі аналізовані найменування мають позитивний стилістичний відтінок і, крім номінативної, виконують рекламну функцію.

Акцентовано увагу на використанні відонімного методу формування українських ергонімів. Серед відонімних назв представлені різні відантропонімні та відтопонімні як найчисленніші серед відонімних, утворені шляхом трансонімізації імен та прізвищ, назв місцевості. Приділено увагу висвітленню інших розрядів відонімних ергонімів, зокрема міфонімів, поетонімів, катойконімів, прагматонімів, зоонімів, анемонімів, космонімів, фільмонімів, музикогрупонімів та трансонімізованих титулів. Зроблено спробу етимологічного аналізу деяких назв.

Зафіксовано використання різноманітних ергонімних термінів, які в деяких випадках, виконуючи номінативну функцію, вказують на розмір установи.

Ключові слова: онім, апелятив, ергонім, антропонім, топонім, онімізація, трансонімізація.
Ukrainian Romanticism in the Context of European Culture of the 19th – early 20th Centuries: Interdisciplinary Historiographical Analysis
Authors: Lihus Olha
Published: January 2022

The article presents the interdisciplinary approach to analyse Ukrainian Romanticism as a national version of the European romantic style of the 19th – early 20th centuries. This approach is based on the comparison of the aesthetic and artistic foundations of the romantic style with its fundamental principles in West and East European countries in different cultural fields such as philosophy, literature, and music. Generalisations in the article are derived from the analysis of the creative heritage of Ukrainian and European Romantics, as well as a consideration of Ukrainian Romanticism in the in the humanities studies. Basing on the historical, historical-cultural, historical-comparative scholarly methods, and the method of modelling, the dynamics of Ukrainian Romanticism under the influence of the aesthetical principle and creativity of the European romantics of the 19th-early 20 centuries is traced. It is demonstrated that Ukrainian Romanticism evolution has 3 stages (early, folklore, and neoromantic) that embody typological traits of the European Romanticism and national peculiarities of Ukrainian Romanticism. The author concludes that the style authenticity of Ukrainian Romanticism is preconditioned by the character of the European and national tendencies’ connection. The research results widen the interdisciplinary discourse of the Romanticism. Moreover, the analytical generalizations of Ukrainian Romanticism enrich the context of the Romanticism examination as a multicultural artistic-aesthetic system.
Хронотопичность в текстах Е. Водолазкина: от «Лавра» до «Брисбена»
Authors: Разумовская Вероника , Валькова Юлия
Published: January 2022

АННОТАЦИЯ

Статья обращается к важнейшим и универсальным для человека параметрам, формам существования и координации объектов и, соответственно, философским понятиям времени и пространства, единство которых в сложном и многомерном континууме художественного текста формирует гетерогенную поэтическую единицу, определяемую вслед за М. Бахтиным как хронотоп. Материалом исследования послужили тексты произведений современного российского писателя Е.  Водолазкина и, прежде всего, его романы «Лавр» и «Брисбен», получившие наибольшую известность в России и в зарубежных странах. В предпринятом исследовании хронотопы анализируются с учетом авторской хронотопической системы художественного мира рассматриваемых художественных текстов, что манифестируется через уникальный язык (идиостиль) писателя. Доказывается ключевая роль хронотопа в организации художественной структуры текстов, а также в реализации авторской концепции. Отмечается корреляция культурной информации и памяти и основных хронотопических характеристик произведений Водолазкина. Поддерживается и развивается плодотворная гипотеза существования гиперхронотопа – хронотопа родового уровня, формируемого набором гипохронотов видового уровня. В исследуемом материале к категории «классического» гиперхнотопа отнесен хронотоп «город», который анализируется в тесной взаимосвязи с гипохронотопом Брисбена – города, ставшим городом мечты и возможного счастья. Особое внимание в статье уделено хронотопу вечности, который неотделим от важных тем времени и вневременья, места («здесь», «везде» и «нигде»), что определяет нарративный рисунок текстов Водолазкина и регулярно представлен в творчестве писателя. Результаты анализа позволяют считать, что хронотопы автора тяготеют к мифотворчеству, а используемые в произведениях хронотопические образы способствуют раскрытию образов героев Водолазкина.

 

Ключевые слова: временные маркеры, пространственные маркеры, гиперхронотоп, гипохронотоп, культурная память.
Предметные средства гадания в языковом русско-польском сопоставлении
Authors: Stras Ewa
Published: January 2022

Желание заглянуть в будущее сопровождает человеческую жизнь на протяжении тысячелетий. Люди всегда стремились узнать, что их ожидает – счастье и успехи, либо несчастье и война. Однако, дар ясновидения недоступен каждому человеку. Еще в древности считали, что он дан лишь избранным. Оттуда особое положение жрецов и предсказателей, производящих ритуалы, направленные на установление связи с потусторонними силами. В наше время сходную функцию выполняют гадалки, реже гадатели. Результаты гаданий необязательно принимаются всерьез. Они считаются игрой, развлечением либо элементом традиционных праздников, приуроченных к определенному календарному периоду. С языковой точки зрения гадание представляет собой коммуникативный поступок, разновидность речевого жанра. Его участники это – адресат, желающий узнать скрываемые от него тайны, и адресант– посредник в контактах с высшими силами, использующий в процессе гадания разные предметы. В статье обсуждаются языковые проблемы, связанные с названиями предметов (магических реквизитов), используемых в различных видах гадания. Эти предметы входят в коммуникативный акт как составная часть конситуации (контекста производимого действия), хотя не всегда при этом явно упоминаются. Объект анализа составили словосочетания с существительными, присоединяемыми при посредстве глаголов wróżyć / гадать и образованных от них субстантивов. Оценка их лингвистического статуса, в частности устойчивости подобных выражений, осложняется немалым количеством и подвижностью названий используемых предметов, из которых только некоторые можно признать традиционными, то есть устоявшимися. Сопоставление единиц двух выбранных близкородственных языков показывает большее разнообразие словосочетаний подобного типа в русском и меньшее в польском.
Формы контроля при дистанционном обучении русскому языку и литературе в УдГУ
Authors: Patrusheva Lidia , Туктангулова Елена , Фомина Татьяна , Метлякова Елена , Рубцова Наталья
Published: January 2022

Статья включает в себя данные практического опыта осуществления контроля усвоения знаний в

условиях дистанционного обучения русскому языку, в том числе русскому языку как иностранному, и

литературе в Удмуртском государственном университете. Предпосылкой нашего исследования явилась

принципиально новая организация учебного процесса в вузе, что не должно было снижать уровень обучения

студентов, обеспечить привычные и системные подходы к контролю знаний, что, в свою очередь, было

закреплено на уровне внутривузовской балльно-рейтинговой системы, способствовать сохранению интереса

к изучаемому предмету, обеспечить объективный контроль за изучением дисциплины, а также проявить

многоуровневый, но при этом не перегружающий студента системный подход к контролю знаний. Важность

исследования состоит в определении оптимальных вариантов контроля знаний по русскому языку (в том

числе по русскому как иностранному) и по литературе в условиях дистанционного обучения, то есть с

учетом специфики и дисциплины, и проверяемого материала, и с учетом индивидуального подхода к

обучающимся, проявленном в контрольных материалах. Результаты исследования позволяют говорить о

том, что дистанционное обучение проявило как отрицательные стороны контроля знаний, так и

положительные. В частности, было установлено, что некоторые проблемы, с которыми сталкивается

преподаватель при организации контроля, являются универсальными, то есть отмечаются и в условиях

очного, и в условиях дистанционного обучения, а такой результат, как усиление дифференциации контроля,

ориентированность на индивидуальный подход в проверке знаний, несомненно, отражает новизну

исследования.
Forensic Study on Federal Road Pavement Failures at Rengit and Semerah, Batu Pahat
Authors:   Universiti Tun Hussein Onn Malaysia, Sufiyanussuari Syazwan Aiman , Ahmad Tajudin Saiful Azhar ,   Universiti Tun Hussein Onn Malaysia, Yusof Mohd Fairus ,   Universiti Tun Hussein Onn Malaysia, Yusoff Nor Azizi ,   Universiti Tun Hussein Onn Malaysia
Published: January 2022

Forensic investigations in engineering term may be conducted to identify the causes of failure to facilitate the design of proper repairs, or to improve the performance or lifespan of a component, assembly, or structure. This paper presents the combination of geotechnical investigation and geophysical survey method as a forensic tool to predict the causes of pavement failure occurred along the coastal area of federal road FT005. The number and type of field testing are varying on each selected study area at Rengit and Semerah, Batu Pahat as this location constructed on soft soil area. Non-destructive testing (NDT) method using electrical resistivity tomography (ERT) were chosen to be applied at the worst severity of the road failure. Three number of resistivity lines of 100m and 200m were laid out using ABEM Terrameter LS2 with gradient method of electrode arrays covering up to 40-meters depth. Then, further testing of destructive testing (DT) method using borehole drilling conducted near the ERT lines to obtain soil profile with SPT N-value measurement. The disturbed and undisturbed samples were obtained to carried out laboratory test for soil classification. After that, inspection of road pavement layers were implemented at five number of trial pit tests which excavated up to subgrade layer to determine the thickness of the materials used in road construction. Three number of mackintosh probe test were also conducted on top of the subgrade layer after the trenching to obtain the strength of the subgrade layer. The results presented showed that severe longitudinal cracking were the predominant premature failures on the roads studied due to settlement effect of soft soil. The analysis obtained from RES2DINV program stated that the subsurface profiling was dominantly in saturated condition which the resistivity value was less than 100 ohm.m. From the SPT N-value it is observed that, the very soft soil layer is up to 8 m followed by the soft to stiff clays soil. Another cause of failure was resulted from the differential settlement due to the effect of different design of road construction with varies material used. The reliability and efficiency of the instruments used were also discussed in this study.
Distance and Rotational Speed Analysis of Coaxial Rotors for UTHM C-Drone
Authors:   Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, MALAYSIA, Che Umar Che Muhammad Ikram , Zulkafli Mohd Fadhli ,   Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, MALAYSIA
Published: January 2022

The prototype of UTHM C-Drone use a coaxial hexacopter concept for its propulsion system. A coaxial rotor consists of two motor and two propellers mounted above each other and aligned in relation to their axis of rotation. The propellers are based on the T-Motor U15XXL KV29 model used in UTHM C-Drone. The distance between the two propellers is usually relative to the radius of the propeller or can be lesser. The objectives for this study are to investigate the effect of distance between upper and lower propeller in a coaxial rotors system and the effect of rotational speed. This study is important to ensure the C-Drone power efficient and capable to lift 180 kg payload. The CAD model of the propeller and coaxial rotors system were designed based on the specification from T-Motor company by Solidworks software and the flow simulations were conducted using Solidworks Flow Simulation module. The total of six CAD models; one for a single propeller and five for coaxial rotors with five difference of distance cases were constructed. For each model, the total thrust was tested from 50% throttle power up to the 90% throttle power. It was found that the coaxial rotors system can generate more thrust than a single propeller but less than double. It was also found that if the lower propeller rotates faster than the upper propeller, the increment of total thrust is very small. However, if the upper propeller rotates faster than the lower propeller, the total thrust increase significantly. For the case of faster upper propeller, as the higher the throttle applied, the thrust increment ratio will decrease, and the efficiency of the thrust produced will be affected. In addition, for same rotation speed, the thrust generated was lesser when both propellers rotate in a same direction compared to when each propeller rotates in the opposite directions of each other.
Formation of valeological competence in non-medical students
Authors:   Ukrainian Engineering Pedagogics Academy, Shevchenko Alexander , Shtefan Liudmyla ,   Ukrainian Engineering Pedagogics Academy
Published: January 2022

Competence approach is generally accepted in modern education. Competence is the ability to perform a variety of practical tasks in life and professional activities at a sufficient professional level, which is due to cognitive abilities and skills, social interaction, motivation and will. There are lingual, informational (digital), communicational, cultural, ecological, valeological (health saving) and other competencies should be formed in the student, regardless of the profile of his education. In Ukrainian legislation, valeological competence is referred to the category of "civic and social competences". Valeological competence in educational standards given less importance than, for example, ecological competence. We have not found a clear definition of valeological competence. In our opinion, valeological competence is the ability to lead a healthy lifestyle, practice safe behavior and provide emergency care. For its formation in students of non-medical higher educational institutions we have proposed the initial academic discipline "Health Pedagogy". The study is theoretical, based on the analysis of scientific sources and regulations of Ukraine, including national educational standards. Preliminary data on the introduction of the author's program of the discipline "Pedagogy of Health" in the educational process of the Ukrainian Engineering Pedagogics Academy for students of "011 - Educational, Pedagogical Sciences" specialty "Bachelor" and "Master" educational levels are also taken into account. Requirements for valeological competence formation in non-medical students on accordance with the level of education, the proposed components of the curriculum and components of competence (cognitive, activity, motivational-value and personal) are formulated. The author's definition of valeological competence is supplemented with a list of its components subject to qualimetric assessment. The list of competencies, necessary for the valeological competence formation, as well as those competencies that are formed or improved simultaneously with the valeological competence during the study of valeological discipline "Health Pedagogy" by non-medical students.
Study of managerial competence of future education managers in the context of using electronic educational environment
Authors:   Pavlo Tychyna Uman State Pedagogical University, Stecenko Nadiia , Tkachuk Halyna ,   Pavlo Tychyna Uman State Pedagogical University
Published: January 2022

The article considers the question of the features of the training future education managers, their manage skills, the structure of which provides knowledge and experience in using the electronic educational environment. This problem is important, especially now, in the context of the coronavirus pandemic, when educational institutions work mainly in a distance format. Now every manager of an educational institution must be competent not only in the field of information technology and have appropriate digital competence but also knowledgeable in the implementation of the electronic educational environment of the institution, in particular, to resolve certain management issues. During literature analysis, we found that there are many studies that describe the use of ICT in the process of forming the managerial competence of future education managers. But, there are few studies that describe the features of the work of the manager in the electronic learning environment (ELE) and solve the problem of their training in this context. To obtain objective information about the level of managerial competence in future heads of higher pedagogical education, we organized a survey that found that future education managers do not have a clear idea of ELE and do not understand its potential for management. During the study, we developed levels of managerial competence of future managers, to which we added skills related to the use of ELE. The training of students lasted from 2017 to 2020 according to the methodology that took into account the structure of managerial competence knowledge and skills of using ELE. We conducted an experimental study that determined the effectiveness of the methodology for the formation of managerial competence of future heads of educational institutions in the context of ELE. This study found that such training contributes to the formation of the future manager, develops his managerial skills, allows to solve the problem of developing managerial competence in future education managers using ELE, is an effective means of implementing educational programs at the university.
A Review on Expansive Soils Stabilized with Different Pozzolanic Materials
Authors: Al-Kalili Ahmed , Ali Ahmed S. , Al-Taie Abbas J.
Published: January 2022

Soils that cause effective damages to engineer structures (such as pavement and foundation) are called problematic or difficult soils (include collapsible soil, expansive soil, etc.). These damages occur due to poor or unfavorited engineering properties, such as low shear strength, high compressibility, high volume changes, etc. In the case of expansive soil, the problem of the shrink-swell phenomenon, when the soil reacts with water, is more pronounced. To overcome such problems, soils can be treated or stabilized with many stabilization ways (mechanical, chemical, etc.). Such ways can amend the unfavorited soil properties. In this review, the pozzolanic materials have been selected to be presented and discussed as chemical stabilizers. The selected pozzolanic materials are traditional, industrial, or byproducts, ashes of agricultural wastes, and calcined-clay types. They are lime, cement, blast furnace slag, fly ash, silica fume, rice husk ash, sugarcane straw ash, egg ash, coconut husk ash, and metakaolin. In general, the stabilization of expansive soils with pozzolanic materials has an essential impact on swelling and Atterberg-limits and positively affects compaction and strength parameters. However, there is a wide range for the percentages of pozzolanic materials used as stabilizers. The content (15% to 20%) is the most ratios of the stabilizers used as an optimal percentage, and beyond this ratio, the addition of the pozzolanic materials produces an undesirable effect.
Serviceability of Post-fire RC Rafters with Openings of Different Sizes and Shapes
Authors: Abdulkareem Bashar , Izzet Amer F.
Published: January 2022

This study deals with the serviceability of reinforced concrete solid and perforated rafters with openings of different shapes and sizes based on an experimental study that includes 12 post-fire non-prismatic reinforced concrete beams (solid and perforated). Three groups were formed based on heating temperature (room temperature, 400 °C, and 700 °C), each group consisting of four rafters (solid, rafters with 6 and 8 trapezoidal openings, and rafter with eight circular openings) under static loading. A developed unified calculation technique for deflection and crack widths under static loading at the service stage has been provided, which comprises non-prismatic beams with or without opening exposed to flexure concentrated force. Two approaches were used to compute the deflection: The first attempt was conducted by using the moment of inertia for solid non-prismatic beam and reduced for those with openings by the ratio of residual rafter self-weight. The second was performed by using the moment of inertia of transformed cracked sections depending on the segmental rafter method. The crack width was determined using the ACI code's equation. The analytical and experimental results were evaluated and found to be in good agreement.
Frequency formula for a class of fractal vibration system
Authors:   College of Data Science and Application, Inner Mongolia University of Technology, Hohhot, China, Tian Yi
Published: January 2022

Four fractal nonlinear oscillators (The fractal Duffing oscillator, fractal attachment oscillator, fractal Toda oscillator, and a fractal nonlinear oscillator) are successfully established by He’s fractal derivative in a fractal space, and their variational principles are obtained by semi-inverse transform method. The approximate frequency of the four fractal oscillators are found by a simple frequency formula. The results show the frequency formula is a powerful and simple tool to a class of fractal oscillators.