Комп’ютерно-інтегровані технології автоматизації технологічних процесів на транспорті та у виробництві
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Документ Загальні відомості про збірку(Харківський національний автомобільно-дорожній універститет, 2024)Документ Актуальні питання впровадження систем управління якістю Quality 5.0 на сучасних виробництвах(Харківський національний автомобільно-дорожній універститет, 2024) Янушкевич, Д. А.; Іванов, Л. С.Документ Структурна модель вибору малотоннажної вантажівки(Харківський національний автомобільно-дорожній універститет, 2024) Юнашев, Д. С.Документ Задача вибору програмного комплексу для автоматизації технологічних процесів(Харківський національний автомобільно-дорожній універститет, 2024) Філь, Н. Ю.; Кисляков, О. Б.Документ Задача синтезу інформаційного комплексу для інтелектуальної транспортної системи(Харківський національний автомобільно-дорожній універститет, 2024) Філь, Н. Ю.; Ісаджанян, А. М.Документ Оцінка рівня підготовки оператора екскаватора за багатьма критеріями(Харківський національний автомобільно-дорожній універститет, 2024) Філь, Н. Ю.; Древаль, І. В.Документ Вибір проектів модернізації транспортної інфраструктури міста в умовах ризику(Харківський національний автомобільно-дорожній універститет, 2024) Філь, Н. Ю.; Донець, О. А.Документ Критерії вибору програмного забезпечення мультимедійних систем для навчального процесу(Харківський національний автомобільно-дорожній універститет, 2024) Нефьодов, Л. І.; Ільге, О. І.Документ Декомпозиція задачі системної оптимізації маршрутів логістичної мережі(Харківський національний автомобільно-дорожній універститет, 2024) Кобильник, М. Є.; Безкоровайний, В. В.Документ Модель вибору трактора для комунального господарства(Харківський національний автомобільно-дорожній університет, 2024) Бондарев, О. О.Документ Вибір програмних засобів верстатів з числовим програмним керуванням(Харківський національний автомобільно-дорожній універститет, 2024) Аносов, Р. В.; Ільге, І. Г.Документ Модель вибору технічного забезпечення для ідентифікації особистості по обличчю(Харківський національний автомобільно-дорожній універститет, 2024) Андрющенко, В. Т.; Шевченко, Б. Р.Документ Predictive maintenance using artificial intelligence and machine learning(Харківський національний автомобільно-дорожній універститет, 2024) Tleuova, A. A.; Beketova, G. S.Predictive maintenance is a method that helps predict potential equipment failures and avoid unexpected breakdowns. Recently, artificial intelligence (AI) and machine learning (ML) technologies have increasingly been used for predictive maintenance. These technologies allow significant reductions in emergency repair costs and extend the lifespan of equipment. This article explores how these technologies can be applied in Kazakhstan to improve maintenance processes in industries. The aim of the work is to investigate predictive maintenance methods and adapt them to the conditions of Kazakhstan's industry. The following methods are used in the study: Analysis of historical data on failures to predict future breakdowns; Use of sensors to analyze equipment status in real time; Development of hybrid models combining different approaches to improve prediction accuracy. The results of the study showed that using AI and ML for predictive maintenance can help reduce repair and maintenance costs and improve equipment performance. Data analysis from sensors allows timely detection of faults, which helps avoid prolonged downtimes. During the study, failure prediction models were developed, showing prediction accuracy of up to 98.7% with low error rates. These models can be useful not only for large enterprises but also in other sectors of Kazakhstan's economy, such as energy, agriculture, and transportation, which will improve the overall efficiency of the industrial sector.Документ The role of software in controlling robotic systems(Харківський національний автомобільно-дорожній універститет, 2024) Iskakova, T. K.; Kosherbayev, B. O.; Angarbekov, U. D.The aticle develops a method for synthesizing motion programs for robotic systems (RS) with arbitrary structures. The focus is on improving motion control using inverse dynamics, adaptive algorithms, and sensor integration. The study includes the creation of mathematical models for multi-link and biped robots and the implementation of a prototype control system. The study highlights the growing importance of software in controlling complex autonomous robotic systems with applications in various industries such as logistics, healthcare, and agriculture. The results lay the foundation for future advances in robotics driven by artificial intelligence and computing technologies.Документ Using artificial text to personalize e-learning(Харківський національний автомобільно-дорожній універститет, 2024) Segizbay, M. B.; Kozhamkulova, Zh. Zh.; Togzhanova, K. O.In the context of modern technological dominance at all levels of life, universal solutions are becoming insufficient. Consumers are demanding “personalization”, and companies are adapting to these requests to make their products and services more attractive to a specific audience. In education, this is manifested in the creation of a learning environment where students can manage their own learning. E-learning, based on information and communication technologies, has become popular in recent years. To achieve the best results in such learning, its personalization is necessary, which can be effectively achieved with the help of artificial intelligence technologies. The purpose of this paper is to study the possibilities of using artificial intelligence technologies for personalization of e-learning. The methods of comparative and system analysis, as well as a logical approach, were used. The article discusses key approaches to personalized learning and the features of personalization in the context of e-learning. An analysis of the possibilities of using artificial intelligence in this area was conducted, and conclusions were made that such technologies can simplify the process of personalized elearning without increasing the workload of teachers.Документ Analysis of blockchain technology(Харківський національний автомобільно-дорожній універститет, 2024) Kashaganova, G. B.; Sekushin, N. S.This article provides a brief overview of blockchain technology. Blockchain is a decentralized distributed database that ensures secure and transparent transactions. It allows transactions to occur without the need for third parties. The article gives an example of blockchain technology, explains its basic principles, types, and examples of its use in IT products.Документ Description of the conceptual-architectural model of the smart city(Харківський національний автомобільно-дорожній універститет, 2024) Togzhanova, K. O.; Rametov, N.Today, cities have become the main drivers of economic development, standing at the forefront of production and consumption networks. They shape social and economic relations and contribute a significant portion of the gross domestic product (GDP) in many countries. Cities play a central role in national, regional, and global development, and the quality of life for people depends on them. As a result, there are growing demands on cities that were unprecedented in the past, including the need for accessible urban infrastructure, high mobility, urban security, environmental cleanliness, and the development of local self-government.Документ User preferences for ui design elements: impact on learning and skill development on coursera, edx, and stepik(Харківський національний автомобільно-дорожній універститет, 2024) Ospankhan, A.; Kalpeyeva, Z.With the development of digital technologies and the proliferation of digital applications and platforms, the issue of educating users and developing their skills in using these technologies is becoming increasingly important. One of the key challenges is ineffective or unsatisfactory user interface design, which can impede learning and hinder the development of user skills.The purpose of this study is to analyze the impact of UI design on user learning and skill development in digital applications and platforms. The study aims to identify methods and strategies that optimize UI design to improve learning and skill development. To achieve this objective, an extensive literature review is conducted, analyzing existing research practices in the area of user interface design and its impact on learning. In addition, empirical data is collected and analyzed through user testing and surveys to identify practical recommendations and best practices.Документ Research on the characteristics of criminal offenses in the field of information and communications(Харківський національний автомобільно-дорожній універститет, 2024) Yuldashev, R.; Kalpeyeva, Z.The rapid development of digital technologies and the expansion of internet access in Kazakhstan have led to a surge in cybercrimes, which pose significant risks to society and individuals. This research investigates the characteristics of criminal offenses in the area of information and communications, highlighting trends, legislation, and the role of cybersecurity measures in mitigating these risks. By analyzing data from various sources and evaluating criminal statistics, the paper explores the need for enhanced laws and technological frameworks to address these crimes.Документ Blockchain in education: studying smart contracts to create a decentralized system(Харківський національний автомобільно-дорожній універститет, 2024) Koshkinbayeva, B.; Kalpeyeva, Z.Recently, blockchain technology has been actively studied and used by both researchers and practitioners. This is due to its unique features, such as decentralization, security, reliability, and data integrity. The article is devoted to the possibility of introducing blockchain technology into the educational environment through smart contracts. To achieve this goal, the following tasks were set: to study blockchain technologies for their applicability in the educational environment; to justify the need for using smart contracts in the educational process; to develop an algorithm for implementing smart contracts for storing educational information and using it for further analysis. The Ethereum platform was chosen for the development of smart contracts. The program code of the smart contract was compiled in the Remix compiler.