01. Faculty of Engineering & Natural Sciences
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Browsing 01. Faculty of Engineering & Natural Sciences by Subject "2022 International Young Scholars' Conference"
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Item Open Access CALCULATING THE EFFECTIVENESS OF SPEEDING UP PAGE LOADING OF THE REACT.JS WEBSITE BY IMPLEMENTING THE NEXT.JS FRAMEWORK(2022 International Young Scholars' Conference, 2022) T. KudabayevAbstract. The main purpose of this article is to investigate the effectiveness of the Next.js tool for speeding up website loading in browsers. For qualitative research, information about how the client's browser works will be shown. How the React.js framework works, as well as how the Next.js framework works, their advantages and disadvantages, as well as the distinguishing features from each other. For practical proof of the effectiveness of implementing the Next.js framework on the site, site hosting will be used, in which a subdomain for two sites will be created: the first using only the React.js framework, and the second using the Next.js framework. To improve the comparison of indicators, both of these sites will use the same functionality. The end results will be compared against several metrics: the size of the final stable build of the program that can be tested and offered to the user, as well as platform independent scores for measuring site accessibility.Item Open Access CYRILLIC HANDWRITTEN OPTICAL CHARACTER RECOGNITION: A REVIEW OF VARIOUS RECOGNITION METHODS(2022 International Young Scholars' Conference, 2022) M. Kalken; R. JantayevAbstract In the age of digital technologies, to simplify the search and storage of information, the translation of handwritten documents into electronic format is an urgent task. Optical character recognition makes it possible to recognize characters from images and scans of documents with subsequent translation into a machine-readable format. At the moment, there are a lot of methods and algorithms of machine learning and computer vision that differ from each other in efficiency and method of application. In many ways, the results of the methods used differ due to the specifics of each language under study, expressed in the difference in the number and type of symbols. The purpose of this review article is to summarize the research conducted in recognizing handwritten Cyrillic characters and to conduct comparative results on methods and their results. As the data under study, we summarized and analyzed research articles on the topic of recognition of Cyrillic handwritten text.Item Open Access DEVELOPMENT AND ANALYSIS OF THE CAR REGISTRATION PLATE RECOGNITION SYSTEM(2022 International Young Scholars' Conference, 2022) N. Yerzhanov; M. MurzabulatovAbstract The main goal of this project is to create and test novel algorithms for detecting, segmenting, and classifying symbols in order to improve the performance of automatic recognition systems for automobile license plates based on neural networks under interference and distortion situations. The goal of this study is to look at the detection, segmentation, and classification techniques that are used to find objects in halftone and color photographs. The goal of the study is to increase the efficiency of video recording systems and vehicle traffic control by developing and modifying algorithms.Item Open Access DEVELOPMENT OF LONG RANGE ANIMAL TRACKING SYSTEM USING IOT TECHNOLOGIES(2022 International Young Scholars' Conference, 2022) Aitkulov A. ; Mamatnabiyev Zh.Abstract The population of our planet is growing at a rapid pace, with an annual growth of 1.1 percent. The population is expected to continue to grow and reach 8.4 billion by 2030. Although this is a fairly positive fact, this phenomenon carries with it enough negative aspects. And one of which is the lack of food, which requires the rapid development of agriculture. Agriculture will have to increase its production massively by 70 percent. The solution to this problem is the technology of the Internet of things. With the help of technology we can avoid morbidity in livestock, excess in power consumption and generally make life easier for the farmers. In this work, a strong focus will be placed on tracking the location of animals, which will be quite cheap and of high quality. This research aims to find the most optimal technologies to track animals on long ranges, while being low-priced and effective enough.Item Open Access EXPLORATION OF THE INFLUENCE OF ESOTERIC PROGRAMMING LANGUAGES ON THE INVOLVEMENT IN THE LEARNING PROCESS(2022 International Young Scholars' Conference, 2022) E. Nabigazinova; B. MeraliyevAbstract In this paper several types of esoteric programming languages have been chosen to analyze whether they can help to learn programming and arouse interest of non-programmers. Esoteric programming languages were designed to explore the possibilities of developing any ideas with programming languages, in other words, to implement an idea in any human-understandable way. We chose programming languages which were as close as possible to the spheres of real life, such as cooking - to write the code as a recipe of any dish, literature - the code format looks like a literary work, movies - using quotes from movies to write the code, painting - the written code looks like a picture and also jokes - using slang to make the code more understandable to a certain people. During the work we used observational research methods to understand the influence of esoteric programming languages on students' involvement. Also the selected esoteric programming languages helps to understand whether it is worth learning programming and whether learning one of the esoteric programming languages facilitates the learning process.Item Open Access FAST AND RELATIVELY ACCURATE SENTIMENT ANALYSIS FOR THE KAZAKH LANGUAGE(2022 International Young Scholars' Conference, 2022) N. ManteyevaAbstract This paper constructs a fast and accurate sentiment analysis model for the Kazakh language. The main method for text classification is based on TF-IDF-based tokens trained with Logistic Regression. The processing and modeling stages are fully implemented in the PySpark framework. The proposed method has shown an accuracy level of 82% on an evenly distributed test dataset. As a byproduct of the work, we have collected a list of words in the Kazakh language that could signal the negativity/positivity of the given review.Item Open Access GOALS OF CONDUCTING AND MOTIVATION FOR PARTICIPATION IN PROGRAMMING COMPETITIONS(2022 International Young Scholars' Conference, 2022) M. Galiyev; G. SaimassayAbstract The International Collegiate Programming Contest (ICPC) in Kazakhstan has a long tradition. However, the popularity of ICPC gained significant popularity only after the beginning of the widespread use of personal computers and the rapid growth of the circle of their users. In this article, we performed a comprehensive analysis of the problems associated with the preparation and holding of such Olympiads. Organization of the on-site ICPC olympiad could be a challenging problem to the different logical, specialized, organizational, and indeed political issues. The Kazakhstan encounter of facilitating Worldwide programming contests from the viewpoint of the specialized and logical committee. The goals of the organizers of competitions in sports programming and the motivation of their participants are analyzed. The role of moral and psychological factors in the framework of participation in such competitions is shown. Considered: a set of language tools allowed for use in solving problems; methods of preparing and holding competitions for schoolchildren and students. Information about the main sports programming competitions held in Kazakhstan is presented.Item Open Access GRADE PREDICTING SYSTEM(2022 International Young Scholars' Conference, 2022) N. ZhailauAbstract Nowadays, prediction of academic performance became necessary for educational entities and universities. As you know most higher educational institutions have a portal system that monitors academic performance. This is necessary in order to assist at-risk students and ensure their retention, as well as to provide exceptional learning resources and experiences, as well as to improve the university’s rating and reputation. Predictive analytics employed advanced analytics, including machine learning implementation, to improve achievement and to generate high-quality performance. As a result, the primary goal of this project is to demonstrate the feasibility of training and modeling on a small dataset size, as well as the feasibility of developing a prediction model with a credible accuracy rate. Using visualization and clustering algorithms, this study investigates the possibility of identifying the key indicators in the small dataset that will be used to create the prediction model.Item Open Access RECOGNITION OF BASIC HAND GESTURES ON A HORIZONTAL SURFACE USING A SINGLE CAMERA(2022 International Young Scholars' Conference, 2022) O. SarybayAbstract The horizontal hand gesture recognition is an innovative, cheaper way for human-computer interaction. Currently, most researchers work with sensors, devices for hand gesture recognition, which require more resources. Instead, the presented horizontal method for hand gesture signal recognition by frames. A key element of this work is the research of a recognition algorithm using only single camera. In the presented framework, the hand detection works as a converting BGR image to RGB before processing. Then, the palm and fingers are segmented so as to detect and recognize the fingers. There are handedness and hand landmarks on the image as a result of a hand detection. Each point of landmark has coordination x, y, z values. There is comparing algorithm of points to recognize hand gesture by fingers. The model has been implemented getting landmark values on a data set of hand images, which collected from video frames. In the presented framework, the hand detection works with computer vision (CV) algorithms, in general MediaPipe as a converting blue, green, red (BGR) image to red, green, blue (RGB) before processing. There are handedness and hand landmarks on the image as a result of a hand detection. Each point of the landmark has coordination x, y, z values. The performance of the method highly depends on the result of hand detection on horizontal surface and collected dataset.Item Open Access THE EFFECTIVENESS OF GAMIFICATION ON LANGUAGE LEARNING IN HIGHER EDUCATION CONTEXT(2022 International Young Scholars' Conference, 2022) D. RaiymkulovaAbstract. The higher education system is currently facing outdated methods of language teaching. It is well established that today's students are technology-oriented and prone to mixing game elements with learning subjects. Gamification is a practical method in language teaching and other areas of education. The goal of this study is to determine the effects of using appropriate gamification methodsin language learning in a higher education context and find out the students’ perception toward gamifying the language disciplines. In this context, appropriate gamification methods mean suitable and modern game tools for students of the growing generation. To explore the existing study, an online questionnaire survey with several open-ended questions was distributed to undergraduate third-year students of a language specialty. The participants were selected according to their language disciplines, understanding of gamification, and experience in specific subjects. The results showed a positive perception and impact on changing and variation of the gamification method. Based on the qualitative analysis, it concluded that using meaningful and practical game elements are important factors to consider when designing the lesson plan for higher education students of a language specialty. Teachers' perception of gamification language disciplines should be taken into account for further development of the study.