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Item Open Access Automatization of object detection with AI(Faculty of Engineering and Natural Science, 2024) Ulykbek A.This study performs a comprehensive analysis of the YOLO (You Only Look Once) object detection method, painstakingly evaluating its performance on a wide range of image formats. The investigation’s main focus is on critical metrics that are carefully examined across set of different images, including processing time, frames per second (FPS), and important metrics related to object detection. By means of this rigorous examination, the research reveals noteworthy variations in the algorithm’s effectiveness, illuminating its intrinsic merits and demerits under various circumstances and situations.These results provide a vital source of information for practitioners and researchers working in the field of real-time object recognition applications. They enable them to make informed decisions and create optimization plans specifically for YOLO-based systems. This study provides stakeholders with the tools and considerations needed to efficiently negotiate the complexity of real-world deployments by providing a detailed understanding of the algorithm’s performance peculiarities, thereby promoting improvements and innovation in the field of computer vision.Item Open Access Road traffic sign recognition using computer vision(Faculty of Engineering and Natural Science, 2024) Alsiyeu U.Road traffic accidents are a major public problem in Kazakhstan, with driver inattention and ignorance of traffic signs among the leading causes. Current driver assistance systems integrated in map apps may be inaccurate and irrelevant, especially in rural areas and on highways. The solution proposed by the research includes a computer vision algorithm for accurate and robust detection and recognition of road traffic signs in real time which will be integrated into a mobile application with a notification system. The algorithm will use deep learning neural networks to detect and recognize traffic signs in real time. The algorithm will be trained on a dataset, which will be collected manually and augmented using machine learning techniques. The proposed system has the potential to improve road safety in Kazakhstan by helping drivers to be more aware of traffic signs and to reduce driver inattention.Item Open Access “Using 3D modeling to develop the creative abilities of learners”(Faculty of Engineering and Natural Science, 2024) Shugay T.This paper examines new possibilities for using 3D modeling technologies and explores the development of spatial thinking, imagination and creativity of learners through 3D modeling. The research material was the work of various authors in the field of creativity and creativity development, as well as materials from researchers in the field of three-dimensional modeling. Their use made it possible to study the ideas and outline the prospects for the development of the creative abilities and interests of students. The experimental group was trained using the free 3D modeling program Blender and further experiments and surveys were conducted. The results and analysis of the experiment provide valuable insights into the effectiveness of 3D modeling in creative abilities among learners.Item Open Access Enhancing Fake News Classification Through DL Models: Encoder-Decoder Architecture with BLSTM for Improved Accuracy(Faculty of Engineering and Natural Science, 2024) Sumeyra B.P.In today’s world, the subject of fake news is crucial. It discusses how social media and traditional media spread false stories or misinformation. This effort aims to use deep learning models to increase the accuracy of fake news classification. We investigate the utilization of bidirectional long short-term memory (BLSTM) networks and attention processes in conjunction with encoder-decoder design to boost accuracyItem Open Access Development of a mobile application to establish e-communication with parents(Faculty of Engineering and Natural Science, 2013) Suleyman A.Coming together is a beginning, staying together is progress and working together is success. Successful teachers communicate with the parents. Collaboration between parents and teacher is absolutely crucial to a student success. Create an open path of communication so parents present a united front, there is a lower chance that your student will fall through the cracks. ; Most parents make great plans for their children making sure they attend a good grammar and high school. They prepare for years for the child’s adulthood by planning for college or special training. No one would for a minute, who loved their child, would neglect seeing the child attend school and getting a good secular education. The purpose in this project is establish easy communication between school and parents using fast and low cost SMS messaging system, because it has a major advantage in communicating with parents. That helps to increase student success with communication between school and parents. This project is an android based application for communicate with parents using SMS (Short Message Service). Capable to send and receive SMS between — school and parents including text- content students’ grade marks, attendance, announcements and congratulations. As fast as phone call but cheaper also it doesn't matter if the parent is busy or not. This application can send grade marks to the parents, also if parents want to know grades marks, application response "info" text from the parents as student's grade marks. Of course this is first step of the communication with parents. If that way fails teacher needs to move communication to next step. As Groves described "If phone calls fail to produce any significant improvement in a student's behavior, you'll want to move on to the next step: scheduling a face-to-face parent conference. Mobile communication, with its quick-messaging capabilities and computerlike information processing, can empower them to work together. Ideally, the physical presence of parents at the school would boost education in many ways, but parents are normally away from schools. Mobile devices, however, have been popular for reducing the distance between people.Item Open Access Research and analysis document management system at the university(Faculty of Engineering and Natural Science, 2024) Toktar Sh.In today’s IT landscape, the selection and implementation of Document Management Systems (DMS) are vital for improving decision-making and automating various workflows. DMS enables efficient document storage and access through digitization and automation, significantly reducing the time and costs associated with manual document management. For DMS to function optimally and meet user needs, intuitive user interfaces(UI) are essential. Despite the critical role of DMS in IT infrastructure, comprehensive analyses of this software are rare. This thesis addresses this gap by providing a detailed, real-world analysis of a university’s DMS and its impact on business processes. Through advanced database analysis, the study identifies key issues such as user accessibility, and retrieval inefficiencies. The research offers practical solutions, including structured workflows, standardized processes. The findings emphasize the importance of user-centric design, continuous training, and support structures to enhance user interaction and system efficiency. This work not only optimizes the university’s document management but also offers a framework adaptable to various organizational contexts, ensuring compliance with regulatory standards and improving overall information management practices.Item Open Access Blockchain based configuration files backup system(Faculty of Engineering and Natural Science, 2024) Shakhnazar S.M.In today’s digital age, the need for robust data security and backup systems has become increasingly critical, especially in the face of rising cyber threats such as ransomware attacks. Traditional backup systems have shown vulnerabilities in safeguarding crucial data, prompting a search for innovative solutions to enhance data integrity and protection. This research presents a groundbreaking approach to address the challenges in data security and backup systems by leveraging blockchain technology. Blockchain technology, renowned for its decentralized and immutable nature, offers a secure and transparent platform for storing and safeguarding data. By harnessing the programmable and decentralized features of blockchain, this thesis proposes a novel blockchain-based configuration files backup system. The system aims to ensure the confidentiality and integrity of data backups in network environments, paving the way for enhanced network security measures. The research questions aim to explore how blockchain technology can be utilized to enhance the security of configuration files backup systems, the advantages of implementing a blockchain-based backup system over traditional methods, the impact of blockchain technology on cybersecurity innovation and data protection mechanisms, and how blockchain technology can contribute to the expansion of information security and improve overall data resilience in network environments. The methodology section delves into the fundamentals of blockchain technology, explaining different types of blockchain networks, consensus protocols, proof of work, and asymmetric encryption. The proposed system includes a detailed system architecture, data storage mechanisms, and blockchain algorithms for securing data and configuration files. Through experimentation and evaluation of the proposed system, the effectiveness of protecting data against vulnerabilities in real-world scenarios, including ransomware attacks, integration of blockchain, and evaluation of performance are analyzed. This thesis aims to make significant contributions to the field of information security by showcasing the transformative capabilities of blockchain technology in enhancing data security innovation, fostering data resilience in network environments, and advancing network security practices in the digital era.Item Open Access Research and analysis user centered logistic website on the base of user data(Faculty of Engineering and Natural Science, 2024) Serikova M.This thesis explores how to make a logistics website that is user-friendly and can handle data from Telegram. The goal is to turn unstructured text messages into structured data for logistics companies. This will help us make better decisions and work more efficiently. I used tools like PHP, Composer, MadelineProto, and PhpSpreadsheet to organize the data. The website was designed using Figma to be simple and easy to understand. Structured data helps in planning and decision making. The study shows that better data and design can improve logistics operations. Future work will focus on adding more features and improving the system with real-time data and user feedback.Item Open Access OPERATION OF ORACLE SOFTWARE ON THE OPERATING SYSTEM WINDOWS(Faculty of Engineering and Natural Science, 2013) Seisenbay A.Oracle is the world's largest enterprise software company, offering solutions for middleware, business intelligence, business applications, and collaboration. Oracle offers information solutions for businesses: how to manage information, ways to use it, solutions for sharing it, how to protect it. Also it is known in the technology industry as being very innovative and highly competitive software. Well, thanks to Oracle databases, most banks are able to manage our critical information securely and flawlessly. Oracle databases are all about robustness, power and exceptional data maintaining capabilities. You hardly hear about an Oracle database crashing or messing up with the data. Operating system Windows by nowadays statistics (http://gs.statcounter.com/#osww-monthly-201202-201302 : ; http://www.netmarketshare.com/report.aspx?qprid= 1 l&qpcustomb=0 ) we can understood, that it is more useful and popular. So, in this work I will try explain you main key points in installing Oracle software on windows operating system. This work contains tutorials which briefly show and tell how to install software and to securely manage it by telling simple “selects”. Which is enough to know for the first time to specialists working with database without critical errors. Also by doing these tutorials you will understand how the Database structure on oracle is organized. Here the main points to setup Database are mentioned simply and makes you to gain your goal in a short time without reading lots of information. And also here the common mistakes while administrating Oracle Database are shown. It will be helpful for beginner users who want to get their feet wet with Oracle Database.Item Open Access Online Question Bank and Exam Maker(Faculty of Engineering and Natural Science, 2013) Sayassatov D.“Online Question Bank and Exam Maker” planned to be written on the Html language but then there was a problem with the creation of the database and it was decided to create a website in PHP, because PHP is a multi-programming language that can be used to achieve dynamic Web site and other features. It's no secret that the introduction of “Online Question Bank and Exam Maker” a positive impact on the reputation of institutions and facilitate the work of teachers. How useful ‘Online Question Bank and Exam Maker’ for educational institutions?Item Open Access Development of an Exam application using Adaptive Learning algorithms(Faculty of Engineering and Natural Science, 2013) Syzdykov R.Web-based exams are becoming increasingly popular in the last years; however, most of the exams developed using static exam content, so that students access to the same content irrespective of different learning backgrounds, learning styles, knowledge levels and abilities. It's a challenge to develop advanced Web-based exam application that can offer both adaptivity and intelligence. This study presents a novel approach to design an exam application which includes major adaptive features. The student, domain and exam content are separately designed to support adaptive learning. Application tracks students’ answers during the exam phase. The results are analyzed according to the Item Response Theory (IRT) in order to calculate students” abilities. The student model is updated based on exam results. The updated student model is used to generate learning style and knowledge level of each learner.Item Open Access Item matching based on image and text analysis(Faculty of Engineering and Natural Science, 2024) Smagul O.In recent years, the e-commerce sector has experienced exponential growth as more retailers and brands have opened online sites to reach a worldwide consumer base. The rise in online marketplaces and comparison sites, where consumers may evaluate and buy goods from different vendors or companies, is another effect of the digital transformation. But this has also resulted in a proliferation of sellers and products, making it challenging for buyers to identify the ideal items and for vendors to connect with their intended clientele. Product matching has emerged as a critical problem for efficient decision-making in the retail and supply chain management sectors in response to these challenges. Purpose of the product matching is to match identical or nearly same products across various sources across, such as different e-commerce websites, based on features and their attributes. It can help retailers to find in demand products and boost sales. On the other hand, customers can take benefit from technologies by finding products they needed, compare across different aggregators, and make decisions to purchase. However, product matching is a challenging task. In most cases same products have different names, descriptions and image cards. With its recent breakthroughs in object detection and image categorization, deep learning has come a long way. A convolutional neural network may identify identical products based on the input picture and text, which might be a label or tag. In this work, three pretrained deep convolutional models: MobileNet-V2, VGG-19, and ResNet-50, are implemented to find the most identical products based on text and image data. The best model for similarity detection based on text and image has been found using a variety of performance assessment techniques, including cosine similarity, Levenshtein distance, and custom metric score. The study concludes that the Mobilenet model is the best suitable model for handling these laborious tasks and supporting the development of a digital strategy plan.Item Open Access Game-based learning for cybersecurity education(Faculty of Engineering and Natural Science, 2024) Sanatbek O.In recent years, the increasing complexity and frequency of cyber threats have underscored the urgent need for effective cybersecurity education. Traditional approaches often struggle to engage learners and simulate real-world scenarios adequately. This paper explores the emerging trend of integrating game-based learning methodologies into cybersecurity education to address these challenges. Through a comprehensive review of literature and case studies, we examine the theoretical foundations, design principles, and practical applications of game-based learning in cybersecurity education. The analysis highlights the effectiveness of game-based learning in fostering active learning, enhancing problem-solving skills, and promoting experiential learning in cybersecurity contexts. Furthermore, we discuss the potential of game-based learning to address diverse learning styles and bridge the gap between theoretical knowledge and practical skills. Drawing on insights from existing research and best practices, this paper offers recommendations for educators, policymakers, and practitioners seeking to leverage game-based learning for more engaging and impactful cybersecurity education initiatives.Item Open Access Personalized Information Systems Enabling Technologies‘and Jameco Education Model(Faculty of Engineering and Natural Science, 2013) Nevzat B.All over the world, especially in developed or developing countries; the need for professional and technical people has become more important than ever. The world has become a village qualified workforce, that is becoming increasingly important in our time. The main aim of the college and vocational schools in Kazakhstan: prepare individuals for specialized professions. Kazakhstan is a developing country and their profession in a lot of experts on the state of the country as a result of violence, and it needs a lot of privately owned schools and vocational high schools were opened. Standards, as well as some of the state now come to these schools and colleges and the owners see these institutions as a result of the gate to make money in this profession very seriously and colleges suffered a serious loss of prestige. In addition, college students who finish school, they directly are led to decline in the quality of university education. There are 40 colleges and 20 vocational high schools in Zhambyl state on 01/01/2013. In these schools, approximately 38,500 students receive vocational and technical education. Kazakhstan has signed a number of educational innovation to put an end to all these deficiencies, and to train professionals and qualified vocational colleges and vocational high school students to succeed in college in 2012. First, college admission's test was required to obtain a certain score. For state universities 70 points, private universities 50 points. As a result of extensive media coverage of these negativities to find a place in the state of Zhambyl, international quality of Kazak-Turkish of economy college was affected. The number of students at the entrance to college last year decreased by 20% compared to the previous year. (330 students in 2012 to 400 students in 2011) Friendship and trust between Kazakhstan and Turkey, and at the same time which is representative of the economic cooperation between the two countries is an important contribution to the development. (1997-2013 Number of Graduates 315 842 Number of graduates working in companies that Kazakh Turkish cooperation is up to 40%)Item Open Access Master Thesis: “Intrusion detection system with deep packet inspection”(Faculty of Engineering and Natural Science, 2024) Nauruzbayeva F.The rapid expansion of the internet has revolutionized modern life, yet it also poses significant risks due to vulnerabilities in increasingly complex software and networks. Addressing these risks requires robust methods for preventing attacks. Firewalls serve as critical security tools in network protection, distinguishing between secure and less secure networks and regulating information flow. However, they alone cannot fully safeguard against malicious activities. Intrusion Detection Systems (IDS), particularly those incorporating Deep Packet Inspection (DPI), have emerged as effective means of identifying and mitigating network threats. The research aims to evaluate the effectiveness of DPI algorithms in detecting and responding to network intrusions. By reviewing existing literature and conducting experiments, the study seeks to identify the most efficient algorithms based on speed and accuracy metrics. The research objectives include proposing algorithm designs to enhance IDS performance and developing an intrusion detection system algorithm. The methodology involves studying various DPI algorithms, normalizing datasets, and comparing algorithm performance through experimentation. Preliminary results from algorithms like K-Nearest demonstrate ongoing progress in algorithm development. While the project faces challenges such as research environment limitations, the commitment to understanding the subject thoroughly remains unwavering. By leveraging Linux operating systems and diligent research, the study aims to contribute valuable insights into intrusion detection system effectiveness, potentially leading to the development of more efficient algorithmsItem Open Access Book text recognition in Kazakh Language(Faculty of Engineering and Natural Science, 2024) Bimurat M.The digitization of Kazakh textual content poses unique challenges, particularly due to the language’s typographical diversity and the scarcity of digital resources. This thesis presents a novel approach to Optical Character Recognition (OCR) tailored to Kazakh book texts, leveraging a synthetic dataset to overcome the limitations of data scarcity and enhance model accuracy. Through meticulous dataset engineering, employing tools like SynthTiger, the study generates images that closely replicate the conditions of Kazakh printed material. The OCR models are rigorously trained and tested, demonstrating high precision in recognizing diverse text presentations. Additionally, this work includes the development of a web application utilizing the EasyOCR framework, which underscores the practical application of the research. Hosted on Hugging Face Spaces, the application offers users the capability to extract text from various image and document formats, illustrating the robustness and adaptability of the OCR models to real-world scenarios.Item Open Access Sentiment Analysis of Texts in the Kazakh Language Using Machine Learning and Rule-based Methods(Faculty of Engineering and Natural Science, 2024) Amirkumar M.This thesis explores the effectiveness of rule-based and machine learning (ML) approaches in the sentiment analysis of Kazakh language texts across diverse domains in natural language processing (NLP). Recognizing the complexities and limited resources available for Kazakh, this research incorporates edit distance algorithms to refine rule-based methods, enhancing their accuracy and robustness. The study undertakes a comparative exploration between these methodologies, aiming to comprehensively assess and compare their performance, effectiveness, and adaptability. Diverse datasets, including daily news, Kazakh literary texts, and Amazon product reviews, have been utilized to delineate the strengths and weaknesses of both rule-based and machine learning approaches. By employing metrics such as accuracy, precision, recall, and computational efficiency, a detailed evaluation has been conducted. It has been found that subtle emotional nuances in literary texts are effectively captured by rule-based methods, while the adaptability of ML models to the varied linguistic elements commonly found in news and consumer reviews is confirmed. However, significant limitations in the rule-based approach have been exposed, revealing the superior scalability and adaptability of ML models when applied across different datasets. The extension of edit distance application to comprehensive sentence analyses and the integration with ML techniques to develop hybrid models are anticipated as future research directions. These advancements are expected to improve both the precision and the applicability of sentiment analysis tools, benefiting not only Kazakh but also other languages with complex linguistic structures. This work has advanced NLP capabilities for underrepresented languages and has promoted the development of more inclusive language processing tools.Item Open Access Creation of an automatization system in “Dostyk” Educational Centre(Faculty of Engineering and Natural Science, 2013) Ibragimov M.Computers can help school managers in finding creative solutions for complex allocation problems (e.g., teacher allocation, timetable construction) and supporting them in monitoring carefully how the school operates. School information systems can provide managers with the information required for informed planning, policymaking, and evaluation; in addition, School information systems can assist in improving the efficiency and effectiveness of schools,-Information Technology in Educational Management also occurs in the form of school office automation: electronic mail, electronic archives, spreadsheets, electronic appointment books, automatic dialing, and desktop publishing. This special issue deals with the design, implementation, and evaluation of computer-assisted information systems for educational organizations. Although the term "information systems" has become very popular it is not always clear what is meant by it. The concept can be used in a very broad sense referring to the information system of an organization which encompasses all formal and informal manual, computer-supported, and verbal activities directed at collecting, distributing, and processing all kinds of data within an organization. Education is central to development. In order to facilitate and simplify all actions in education one of the major tool is to have automated management system.Item Open Access The Solution of Physics Equations by Using the Artificial Neural Networks(Faculty of Engineering and Natural Science, 2013) Muhsin S.In today's world, that on the occasion of the scientific and technological advances increased levels of a very important ability of intelligent machines.In addition, problem-solving abilities are still intelligent machines are very simple in comparison with the human brain.As a human being, to produce new solutions to problems faced by artificial intelligence not yet been developed. However, ‘Artificial Neural Networks' solutions with methods very important steps were taken in this way and was instrumental. This work, would be an important advance in artificial intelligences Formulas of Physics Analysis by Artificial Neural Networks, researched the subject. Deepened my research on the some physics formulas. In this study, physics formulas were investigated using artificial neural networks.Item Open Access ANALYSIS OF SYSTEMS PYTHON VS. RUBY(Faculty of Engineering and Natural Science, 2013) Kopbayeva Zh.Nowadays web development programming is very popular. Using object- oriented programming (OOP) languages in it made it fun to design overall architectures, functionality and ease of usability. As the scripting languages did not lose their popularity in this process, on their own field they also were making . progress for making web development interesting for a programmer. Also scripting languages’ popularity is stable because of their compatibility and ease of use with the other languages. Considering these in this paper the comparison of basic items is made, that exist in Ruby and Python. Python itself was already popular, but coming of Ruby into the world of developers made them to begin many discussions. This work will give you basic view to make yourself a conclusion which one to choose and here it’s assumed that you already know one of the OOP languages or at least have some basic understanding of it. It won’t be just the basic interview with Python and Ruby, but from the introduction part the main concepts for language differences like dynamic versus Static typing, strong and weak typing, compiled versus interpreted properties’ overview will be made. At the end developers will be able to conclude for themselves how to start and continue, while making clear reasoning. Because the work was made to do a rational overview of both Ruby and Python so that there won’t be any prejudice of a particular individual.