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Item Open Access ARTIFICIALLY INTELLIGENT CONVERSATIONAL CHATBOTS: MAIN TYPES, PROGRAMMING ISSUES, AND POSSIBLE SOLUTIONS(2021 International Young Scholars' Conference, 2021) Momonov G.Abstract In recent years, artificially intelligent (AI) conversational chatbots have become widely used and proved to be a practical and effective support tool in many areas. Advances in machine learning and neural networks have made such proliferation of AI chatbots possible, yet there are still many programming issues and challenges in developing chatbots for various specific domains of human activity. This paper reviews types of artificially intelligent conversational chatbots and programming issues associated with each type. The following main types of chatbots are discussed: 1) script-based chatbots, 2) database-based chatbots, and 3) natural language processing-based chatbots. Key programming challenges in creating chatbots and existing solutions are reviewed.Item Open Access ENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS(СДУ хабаршысы - 2017, 2017) Kabulov B.M.; Aitbayev Y.K. ; Amirgaliyev Y.N.Abstract. There has been growing interest in pattern recognition tasks in the last decade. This is determined by the prevalence of the problems that is being solved in recognizing images and characters, scene analysis, technical and medical diagnostics, signal identification, analysis of expert data, speech recognition, creation of expert and artificial intelligence systems. The article is devoted to the topic of collective decision-making models in automated intellectual systems. The application of such models for pattern recognition problems is being considered. What is meant by the term «collective recognition» is the task of using multiple classifiers, each of which will decide on the class of one entity with the subsequent coordination of their decisions with the help of a certain algorithm.Item Open Access COMPARATIVE ANALYSIS OF FACE RECOGNITION ALGORITHMS IN THE PROBLEM OF VISUAL IDENTIFICATION(СДУ хабаршысы - 2021, 2021) Sadyk U. ; Tursyn D. ; Sarsenbay Sh. ; Aitimov A.Abstract. The article is devoted to two approaches to face recognition implemented in the visual identification software package. The corresponding algorithms are described, flowcharts and fragments of their software implementation are given, and the results of their applicability are analyzed on the basis of the conducted research.Item Open Access ЖАҢА ТЕХНОЛОГИЯЛАР АРҚЫЛЫ ҚАЗАҚСТАННЫҢ СӘУЛЕТТІҢ ХАЛЫҚАРАЛЫҚ КЕҢІСТІГІНЕ БІРЛЕСУІ(Қазақстан ғылымының дамуы мен келешегі жастар көзімен - 2018, 2018) Қайдаров А.Ш.Бұл мақалада бүгінгі таңда кəсіби архитекторлар арасында архитектурада технологияларды зерттеуге жəне дамытуға бағытталған көпшілікке танымал зерттеулер қарастырылады. Сəулет саласындағы цифрлық технологияның рөлі қандай? Цифрлық технологиялардың көмегімен құрылған сəулет автоматты түрде цифрланады деп айтуға бола ма? Осы ұғымдардың шекаралары бұлыңғыр, əркім оларды өз бетімен түсінеді. Сондықтан, цифрлық архитектураны анықтау жəне оның мүмкін бағыттарын жіктеу ұсынылады. Қазіргі заманғы үй тұжырымдамасы интерьер дизайнын ғана емес, сонымен қатар сауатты ұйымдастырылған ішкі кеңістікті жəне тұрмыстық техниканың əр алуан түрін де қамтиды. Толық үй - бірінші кезекте сүйікті үйде жайлы демалыс жасауға мүмкіндік беретін ыңғайлы тіршілік ортасы. Нəтижесінде пəтерлер мен коттедждердің инженерлік жабдықтары күрделене түсуде, ал бұл ортаны қалыптастыруға тартылған аспаптар саны өсіп келеді. Барлық жүйелерді хост арқылы басқару ыңғайсыз жəне қауіпті. «Ақылды үй» интеграцияланған басқару жүйесі бұл мəселені шешу үшін барлық қарапайым жұмыстарды орындай алады.Item Open Access MapReduce Solutions Classification by Their Implementation(The International Journal of Engineering Pedagogy (iJEP), 2023) Orynbekova K.; Bogdanchikov A.; Cankurt S.; Adamov A.; Kadyrov Sh.Distributed Systems are widely used in industrial projects and scientific research. The Apache Hadoop environment, which works on the MapReduce paradigm, lost popularity because new, modern tools were developed. For example, Apache Spark is preferred in some cases since it uses RAM resources to hold intermediate calculations; therefore, it works faster and is easier to use. In order to take full advantage of it, users must think about the MapReduce concept. In this paper, a usual solution and MapReduce solution of ten problems were compared by their pseudocodes and categorized into five groups. According to these groups’ descriptions and pseudocodes, readers can get a concept of MapReduce without taking specific courses. This paper proposes a five-category classification methodology to help distributed-system users learn the MapReduce paradigm fast. The proposed methodology is illustrated with ten tasks. Furthermore, statistical analysis is carried out to test if the proposed classification methodology affects learner performance. The results of this study indicate that the proposed model outperforms the traditional approach with statistical significance, as evidenced by a p-value of less than 0.05. The policy implication is that educational institutions and organizations could adopt the proposed classification methodology to help learners and employees acquire the necessary knowledge and skills to use distributed systems effectively.Item Open Access Face extraction and recognition from public images using HIPI(ResearchGate, 2018) Bogdanchikov A.; Kariboz D.; Meraliyev M.Social networking services with public data are widely used nowadays. Billions of images uploaded to the internet each day over the world. This paper proposes the idea of a system which is currently being developed. The system collects images from public sources by some specific criteria, applies face detection and recognition algorithms on collected images, and provides the results in readable form. The Apache Hadoop library is used to increase performance of the system, and images are downloaded by the help of HIPI library. For testing purposes Labeled Faces in the Wild benchmark is used as a database for images containing over 13233 images of 5749 identities. Each image is jpg format in 250*250 resolutions. Results were more than good after testing the system with this database for face detection and recognition.Item Open Access Unified computational approach to nilpotent algebra classification problems(Sciendo Journal, 2021) Kadyrov Sh.; Mashurov F.In this article, we provide an algorithm with Wolfram Mathematica code that gives a unified computational power in classification of finite dimensional nilpotent algebras using Skjelbred-Sund method. To illustrate the code, we obtain new finite dimensional Moufang algebras.Item Open Access ANALYSIS OF THE KAZAKH CYBER TOURNAMENTS PLATFORM “PINGER.KZ”(СДУ хабаршысы - 2023, 2023) Alimanova M.; Karazhar B. ; Alseitova A. ; Orynbekova K.Abstract. Worldwide experts presume further growth of videogames field and suggest solutions according to the actual statistics. Despite the remarkable successes of the e-athletes from Kazakhstan in a worldwide arena, there is a lack of statistical data on the local cybersport. Therefore, the research was conducted to provide prospective researchers in fields like gamification, eSport and media with actual data. The given scientific paper uses the data collected and analysed from the largest cyber tournament platform in Kazakhstan “Pinger.kz”. The analysed information is about tournaments that took place since the website launched in 2019 to 2021. The libraries of Python for data analysis as BeautifulSoup, requests, matplotlib and Apache tools were used. The aim of the work is to collect and make data analysis for future research. The paper identifies the most popular games among kazakh players in order to use this data in the research on gamification. Parsed data results show the development of the local cybersport and confirm worldwide trends.Item Open Access ENTROPY AND ESCAPE OF MASS FOR HILBERT MODULAR SPACES(arXivLabs, 2011) Kadyrov Sh.We study the relation between metric entropy and escape of mass for the Hilbert modular spaces with the action of a diagonal element.Item Open Access A DECENTRALIZED, LOW COMPUTATIONAL COST STRATEGY FOR COORDINATION AND SEARCH WITH A ROBOT FLOCK(Journal of Theoretical and Applied Information Technology, 2021) FREDY H.; MARTÍNEZ S.The coordination of a flock of robots is a high demand application in applications such as motion planning, navigation, herding (tracking and/or tracing), area coverage (exploration, search and rescue, etc.), object transportation (surrounding and moving together), and compound tasks, all of which are currently heavily researched in robotics. Many approaches have been proposed to solve this problem, but they largely compromise system characteristics such as fault tolerance, capacity, efficiency, and in particular cost, since real implementations require special hardware. This paper proposes a coordination strategy for a system composed of small robots of minimalist design under the condition of minimum processing and sensing capacity. The communication requirements have been limited to a local communication strategy sufficient to achieve the relative orientation of each swarm member. The usefulness of the scheme is evaluated by simulation in specialized search tasks in an unknown region. The results show the high capability of the scheme and the ease of implementation on real prototypes.