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Item Open Access 3D modeling of the offshore wind turbines integrated structure for Kazakhstan Region(2017) Khassanov D.In this thesis project examined meteorological characteristics of the field “Kashagan” located in the north Caspian Sea, the types of offshore oil and gas constructers, offshore wind turbine structure integrated for the middle depths of the Caspian shelf, and the load acting on them during operation on a shelf. Dimensional solid 3D model and 3D animation presentation of offshore wind turbine is built in the program Autodesk Maya 2012. Created the design scheme of supporting jacket for offshore wind turbine.Jacket designed for the field in the middle depths of the Caspian Sea. Carried out joint account of supporting columns and turbine structure on the static load - own weight of construction and the wind turbine weight of the structure, and the wind load by finite-elements. Also the calculations studied the stress-strain state of the structure. The finite element method are mastered and calculated by using a software package Autodesk Inventor Professional 2014. The calculation results can be used in the design of offshore wind turbine structures for oil and gas platforms.Also, the thesis presents the basic calculation of the estimated cost of construction and installation works supporting truss design and offshore wind turbine, its payback period. Sections health and the environment are considered potential risks to personnel and possible threats to the environment, and provide measures for their prevention and reduction.Item Open Access Analysis and development of system for predict psychological portrait of a person(2020) Atanbekov A.Text content is one of the widespread media types. A question which we are trying to find out in this study is the following: can we identify a psychological portrait or psychological type of a person by given a short text document written by that person? There are different techniques to identify personality types by given text. In this study, the model has been developed to predict the psychological type of the person based on XGBoost. This study is going to explore machine learning algorithms to predict the psychological portrait of a person based on a given text. The psychological portrait will be described by Myers-Briggs Type Indicators (MBTI) which is the most reliable and popular method. This question ‘5 motivated by essays of students at the beginning of their courses to understand their psychological portrait and how it can be met with the profession they choose. The results of this study will help HR specialists and teachers to better understand their students.Item Open Access Analysis of Creation Scientific Library System with MARC21(2021) Abubakirova A.Automation solutions come to centralization and internalization in every part of processes in different spheres. The reason is that the philosophy of humanity changed to “win to win”, assist each other, be a team and develop systems that give effectiveness, focus and open source. In this research work analyzed CIS Library systems and their formats, advantages and disadvantages from the development part. In the result identified 4 criterias in the development of the corresponding software in the creation of the Library System. For a more detailed analysis of problems between different formats, we used OCLC WSKey and found authority tags. Analyzed timeline of creation of basic modules of library system and influence in each other, accent was in analyzing and implementing cataloging modules with comparing desktop and web software and the additional task possibility of transferring metadata with XML files between different formats. In future work was testing and comparison of analysis.Item Open Access Analysis of data to improve system of an educational organization(2020) Serek A.In this thesis, there was done a set of computational experiments on the datasets of educational organizations. In the first part of the work, there were executed lots of experiments with decision tree ID3 algorithm on the educational camp dataset (”Educon”) that automatically predicts a participant’s feedback using Scikit-learn library and extrapolatory data analysis of that was done using Pandas library and Python programming language. The experimental results showed that the most optimal maximum depth (which is the number of edges starting from the root till the leaf) for the decision tree is 3 and the most optimal minimum number of splits (which is the minimum amount of samples of the dataset that are required to split an internal node of the decision tree) is 192. Based on that, there was achieved optimum results of precision, recall, and f1 score machine learning metrics that vary between 75 to 98 depending on the change of tunable variables of the ID3 algorithm. In the subsequent parts of the thesis, the information extraction system was built based on an educational camp dataset and recommendations for hackathon improvement were derived. The datasets are not open-source and were collected manually through the use of surveys.Item Open Access Analysis of effective machine learning techniques for improvement of student performance(2023) Tolbassy B.It is advantageous to use machine learning (ML) algorithms to assess student performance based on their prior performances and current behaviour because they can project both positive and negative outcomes at different educational levels. Learning outcomes can be improved by early performance prediction for students. The prediction of a student’s academic performance is important because it shapes changes in university academic policies, guides instructional strategies, evaluates the efficacy and efficiency of learning, provides teachers and students with pertinent feedback, and modifies learning environments. All of these elements support higher graduation rates. There is currently no clear winner among the various machine learning techniques for predicting student performance while enhancing learning outcomes. Therefore, this study is going to present the most effective machine learning techniques using and analysing open-source data from the Kaggle platform.Item Open Access Analysis of students’ interest in programming(2023) Saimassay G.The proportion of women working in and studying computer science (CS) remains much lower than that of men. Young women’s perceptions of computer science as a career are highly impacted by their sense of self and identity. We believe that if young girls are introduced to software programming in a way that enables them to explore their identities early on, they will be more likely to pursue careers in CS. This research looks at the role of gender diversity and cultural stereotypes in affecting girls’ job choices outside of information technology (IT). The study attempts to explore the underlying causes of this trend by investigating gender inequalities and identifying the primary factors impacting girls’ views and attitudes about computers and ICT education. Furthermore, the research intends to establish an optimum atmosphere that fosters girls’ interest in IT and encourages women’s engagement in IT careers. The study looks at the relationship between confidence and satisfaction levels using a case study technique using before and post questionnaires. The obtained data is evaluated to identify the influence of these elements on the vision and interest of females in IT. The results help to explain gender discrepancies in job choices and provide suggestions for developing a supportive and inclusive atmosphere to enhance girls’ interest in IT. The report emphasizes the necessity of tackling cultural preconceptions and encouraging gender diversity in order to create an atmosphere that encourages girls to pursue careers in IT and promotes women’s participation in IT occupations.Item Open Access ANALYSIS OF SYSTEMS PYTHON VS. RUBY(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.Item Open Access Analyze and Development System with Multiple Biometric Identification(2020) Dadakhanov Sh.In the case of quick progress in technological improvement, growing shopper cheating, fraud, the threat to private knowledge is additionally increasing daily. Ways developed earlier to confirm personal info from the crimes weren't effective and safe. Statistics were introduced once it had been needed technology for more practical security of personal info. Recent ancient procedures like Personal identification number, keys, passwords, login ID may be forgotten, stolen, or lost. During a biometric identification system, the user might not get any keys or transfer any keys. In biometric authentication system, user may not remember any passwords or carry any keys. As people they recognize each other by the physical appearance and behavioral characteristics that biometric systems use physical characteristics, such as fingerprints, facial recognition, voice recognition, in order to distinguish between the actual user and scammer. In order to increase safety in 2005, biometric identification methods were developed government and business sectors, but today it has reached almost all private sectors as Banking, Finance, home security and protection, healthcare, business security and security etc. Since biometric samples and templates of a biometric system having one biometric character to detect and the user can be replaced and duplicated, the new idea of merging multiple biometric identification technologies has so-called multimodal biometric recognition systems have been introduced that use two or more biometric data characteristics of the individual that can be identified as a real user or not.Item Open Access Application for predicting the business orientation based on analysis of user desires(2023) Anefiyayev N.In today’s competitive business landscape, understanding customer desires and preferences is crucial for the success of any organization. Customer churn is a significant problem for companies and describes moving out of customers to competitors. Predicting such behavior in advance offers companies valuable insights, empowering them to take measures to retain their customer base and potentially d it. One key decision informed by data analysis involves identifying the development. Machine learning algorithms can data and predict business direction. This helps expand the most promising areas for business to be leveraged to analyze customer organizations, make data-driven decisions and tailor their products, services, and marketing strategies to meet customers expectations. The thesis work describes studies using their feedback, and analyzed parte for the company. To solve the problem, hms from different areas were used to how customer preferences and transactions to predict income several stages and machine learning algorithm ect for further use- Neural networks showed the best result in comparison and self business and linear regression to find out a profit. determining the direction. After that, a website and a motion of the company was visualized, and a page page where the saved model was used to predict a new partner and his income.Item Open Access Application of loT Technologies for Managing the Educational Process in University(2019) Mamatnabiyev Zh.Recently, applications of Internet of Things (IoT) technologies have been established in many organizations offering low-costed, low-powered, automatic systems. In addition, loT systems are secure, less time-consuming, and controlled remotely. Implementing loT technologies in managing the educational process makes huge changes by creating digital classrooms and automation systems. However, taking students’ absence report is still critical element or issues in the education sector that is more paperwork, which is time-consuming, requires much workforce aud efforts, and imposes inefficiency. Various automatic identification technologies have been developed using Radio Frequency Identification (RFID). Many research works and projects are produced to take maximum benefits of using this technology. RFID is an automatic technology and identifies tagged objects from an environment through radio waves. RFID reads data from RFID tag and sends it to server or cloud using IoT hardware platforms like microcontrollers and microprocessors. The current work proposes an automatic attendance monitoring system (AMS) using IoT technologies including RFID and hardware platforms. The objectives of the proposed system are to check attendance of students automatically with human interface, inform students about gaps in attendance, and monitoring instructors whether they come to lessons on time. Based on the results, the proposed AMS time-effective, economically available, and has not any power consumption. The system is analyzed and criticized respect to other authors' works. Future works are also discussed and identified.Item Open Access Applications of computer vision in examination proctoring(2022) Sapargali N.In 2019, a disease called COVID-19 hit the whole world and with the appearance of this disease, a new era of distance learning has begun. Learning has moved to apps like Google Meet, Microsoft Teams, Zoom, Webex and messengers like Whatsapp, Telegram, etc. Almost all universities and schools changed their courses to reflect what is going on in the world now. With all of this going on, their grades and scores should be going down, but many students did better than the average. This is because there has never been a way to do a well-organized test online without using different methods for each student. To solve the problem at hand, we need a system that can help us figure out how students are cheating. When it comes to online tests, the use of proctoring procedures is a big problem for the research community. This work shows us how to make a full multi-model system using computer vision so that people don’t have to be there during the inspection. We propose a system with many features that students can use during the test object identification, and estimating head posture using facial landmarks and face detection(is it the same student or another).Item Open Access AR and VR technologies in Education(2019) Arystanbekov S.This thesis work focuses on research on the impact of technologies, like virtual and augmented reality in the educational and professional training system. The major aims are to study and review of the quality of perception, understanding of educational information and define the role of technologies in the education process as well. We also consider the theoretical foundations of visual thinking, early researches, reaction, and problems. The history, current situation, prospects for the growth and development of virtual and augmented reality technologies in the nearest future are considered as well. For the practical part of the research were developed several mobile applications with educational materials from the general education school program and experiment was held. Experiment results were studied and examined to define if new technologies like Virtual and Augmented Reality effect on the quality of education.Item Open Access Aspect-oriented definition of emotional tonality of documents in the Kazakh language.(2018) Chapayev D.In our time, every person in his everyday life is facing artificial intelligence even without noticing it. We use it literally everywhere, from searching the Internet and ending with the location of a fast route from point A to point B. Over the past 10 years, developments in the field of artificial intelligence have acquired a new breath. Since many studies were made as far back as the twentieth century, they were not used in the right case because there was a lack of a large amount of data. But now in the world there is a lot of data on which it is possible to train and create the so-called weak artificial intelligence (weak AI) which performs one specific task. A good example of a weak AI is Apple Siri and Google Assistant. The task of which is to Support the conversation with a real person (Question & Answering). Along with this, in the processing of natural language there are other tasks such as the sentiment analysis of the text, machine translation and speech recognition. The sentiment analysis of the text is used in many ways to understand the end user, but applications for analyzing the mood are endless. More and more we see that it is used in monitoring social networks and VOC (voice of the customer) to track Customer feedback, survey responses, competitors, etc. However, it is also practical for use in business analytics and situations, in which the text needs analysis. In such areas as product quality development, improvement of customer service, and crisis Management. In this thesis, the work of the application, which will determine the emotional tone of the text in the Kazakh language, will be explained. As the input, we will give the text in Kazakh. and the program should accordingly give an answer in the form of Negative or positive.Item Open Access Automatic error detection and correction of Kazakh text(2022) Tolegenova A.The amount of complicated documents and texts has increased exponentially in recent years, necessitating a deeper understanding of machine learning technologies in order to effectively identify texts in numerous applications. Text normalization is one of the best decisions. It is the reduction of all words of the text to the original form. This paper investigates a layered strategy for fixing mistakes in Kazakh language literature downloaded from the Internet. This work is devoted to the study of automatic systems for checking the spelling of the Kazakh language using natural language processing tasks. Currently, most of these types of machines are designed for English, and few are processed for the Kazakh language. The paper discusses the methodology for evaluating automatic spelling checkers and error correction, developed by the author. A description of the selected systems is given. The main goal is to validate the use of n gram for agglutinative languages. On the basis of the study, the best system of use is distinguished, between the n gram and Symspell.Item Open Access Automatic Handwritten Digit Recognition on Images Using Machine Learning Methods(2022) Kalken M.With the transformation to digital information exchange, many papers, including invoices, taxes, notes and surveys, historical data, and test results, still require handwriting. In this context, handwritten digit recognition is required, which is a computer-automated method for decoding records. To achieve this purpose, machine learning mostly employs neural networks, with the convolution neural network being the most common. The primary objective of this dissertation is to develop an automatic technique for detecting handwritten digits by determining the optimal hyperparameter of a convolutional neural network and analyzing the impact of various hyperparameters on network performance. To do this, several values of each hyperparameter were chosen within a specified range using the MNIST database for training and testing. As a result, a large amount of data was collected in which a very high influence of hyperparameter selection on the performance of the neural network was determined, and a 99.2% accurate pure CNN design was achieved.Item Open Access Automatic Speech Recognition for the Kazakh Language(2022) Amirzhanov A.In the presented study, the problem of automatic speech recognition (ASR) for the Kazakh language was discussed. It starts with general information about the field such as the history of ASR, invented algorithms, and models. Then the state-of-the-art architectures in the world will be studied. The following is a specific topic of implemented automatic speech recognition systems for the Kazakh language. Studying the works related to the topic of the thesis, an end-to-end model based on the Connection Temporal Classifier (CTC) algorithm was chosen to conduct experiments with various types of optimizers. The results showed that the proposed method works better with the Momentum optimizer than others such as Adam and Adagrad.Item Open Access Automatic tagging of tasks(2023) Turganbekov Sh.In the modern era, the widespread application of natural language processing has led to a growing need for automated tagging systems. These tags hold significant importance in people’s lives as they aid in search engine optimization and minimize time wastage. The purpose of this research is to address the challenge of automating the tagging process for algorithmic problems. Specifically, our focus lies in developing a machine learning-based approach for accurately assigning difficulty tags to problem descriptions. While acknowledging the limitations of existing machine learning methods, we consider them as a foundational step for future investigations in this domain. By leveraging advanced techniques in natural language processing and machine learning, this study aims to enhance the efficiency and effectiveness of automated task tagging systems. The outcomes of this research can potentially contribute to the development of improved methods for problem classification, facilitating more efficient information retrieval and task prioritization.Item Open Access Automating banking sector monitoring procedures for exceptional situations(2023) Amankossova A.The need to detect anomalous events and react to them immediately in real time is becoming increasingly important in the banking sector. The main objective of this thesis is to propose the development of a real time alert notification system that uses outlier detection algorithms to discover unexpected trends in the key performance indicators of a financial industry. In order to enable real-time monitoring of data streams and notify users of anomalous occurrences as they happen, the system will take advantage of the capabilities of cloud computing and big data technologies. The proposed system will be evaluated against traditional outlier identification techniques. The efficacy of the outlier detection algorithms for the banking dataset is assessed using precision, recall, and Fl score measurements. The approaches of sending alerts are evaluated, with the strengths and weaknesses of each method taken into account. This thorough evaluation approach aims to emphasise the advantages and disadvantages of the suggested system as well as identify potential areas for improvement. The suggested system will allow users to take proactive action to lessen the consequences of abnormal events, reduce the risk of costly downtime and other adverse effects.Item Open Access Automating real estate investment analysis in Kazakhstan(2023) Nametbayeva A.In the modern world, data plays the most important role not only for the development of medium and small businesses and the formation of large economies, but also for the comfortable everyday life of every person. This study examines the Kazakh residential real estate market in the city of Almaty to apply machine learning algorithms to real estate data for price prediction. We know that this market is an important sector of the global economy. The residential real estate market in Kazakhstan is a complex structure, consisting of hundreds of thousands of apartments, characterized by many features. At the same time, any changes in the market may cause speculation and a deliberate increase in real estate prices. That is why it is so important to understand what the real cost of an apartment is and where it is more expensive. The research focused on building a real estate value prediction model using machine learning methods such as linear regression, XGBoost, Random Forest, and Prophet. The data was taken from the krisha.kz website for the following dates: November 30, 2020, May 9, 2021 and November 2, 2022. The number of processed data for each of these dates was 6807, 3426 and 32424 records, respectively. Among the tested models, XGBoost and Random Forest showed the best results.Item Open Access Automation of education process(2017) Mambetbayeva Zh.The educational system solves important problems of cultural and socioeconomic development of society, therefore, any educational institution prepares a person for active life in the social, political and economic spheres of society. One of the main conditions for the successful functioning of the institution is the competent and optimal organization of the work process of the university. Modern information technologies provide ample opportunities in the organization and management of the learning process. Nowadays, the automation of the educational process is an integral part of the activity of any educational institution that wants to have the right to be called progressive. Nowadays, the automation of the educational process is an integral part of the activity of any educational institution that wants to have the right to be called progressive. In our university for total grades, which include midterm and final subject we have portal, electronic type of student’s record-book. Lack of this portal is that we don’t have opportunity to see our intermediate points before midterms or finals. Such results we can know individually from teacher. Some of the teacher lead some paper-based journal for grades, other teacher prefer to store quiz, exam results in excel book on his computer etc. One of the solution to automate educational process is to have one centralized system, which will be used not only for grade, this will be portal, where student can find all information he needs: schedule, home works with deadlines, which will be posted by teacher, his transcript, some news and announcements from his supervisor.