55 results
Search Results
Now showing 1 - 10 of 55
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 О НЕКОТОРЫХ ПРИМЕНЕНИЯХ ИНФОРМАЦИОННЫХ СИСТЕМ В ЗДРАВООХРАНЕНИИ(СДУ хабаршысы - 2018, 2018) Дуйсебаев Н.Аннотация. Статья посвящена основным аспектам разработки медицинских информационных систем. Статья будет полезна как архитекторам и разработчикам медицинских информационных систем (МИС), так и пользователям современных МИС. В статье выполнен обзор медицинских информационных систем и динамики их развития за 2005 - 2010 гг. Приводятся усредненные данные о выполненных инсталляциях, распределении разработок по технологиям и системам управления базами данных, по видам лечебно-профилактических учреждений и формам собственности. Авторами также выполнена и описана в данной статье общая оценка состояния рынка КМИС, дается прогноз его развития и отмечаются основные тенденции, сформировавшиеся за годы наблюдения.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 VOICE ASSISTANT FOR MOBILE SYSTEMS WITH NATURAL LANGUAGE PROCESSING(Suleyman Demirel University, 2016) Kuanyshbay D.; Orynbetov Z.; Kariboz D.In order to handle some tasks by voice recognition it is really important that application will understand what user said. Which means that application must take a sentence that was entered by user and analyze and handle some tasks or etc. This paper is about natural language processing and analyzing sentences. In this article, we have briefly gone through the problems of NLP and some of the common techniques used in natural language analysis. These techniques are, however, very simple and fundamental. Many more complex and efficient approaches have been developed. However,in spite of these new developments, current state of the art is still capable of only limited tasks within restricted domains. Even though, work in the subject had began more than forty years ago, it is still in the very early stage of its development and there is definitely more to meet the eyes.Item Open Access РОБОТ – ҒЫЛЫМ ЖАҢАЛЫҒЫ, ҚОҒАМДЫҚ ДАМУ ҚАЖЕТТІЛІГІНІҢ ЖЕМІСІ(Suleyman Demirel University, 2016) Амиргалиев Е. ; Қойшығұлова Д.Адам қабілеті шексіз. Есте жоқ ескі замандардан бері жаратылыста тек адамның ғана сана-сезімі ұдайы дамып келеді. Алғашқы қауымдық құрылыста таспен ұрып аң аулаған бабаларымыздың бүгінгі ұрпағы көк жүзін бағындырып, алты ғаламды зымыранмен аралағаны айтар ауызға оңай. Осындай дәрежеде даму үшін адамзат баласының басынан қаншама ізденіс, ойлау, талдау өткенін бір жаратқан ғана білер. Біздің білетініміз – бұл тынымсыз еңбектердің нәтижесі. Ғылымды дамыту үшін барша қауым атсалысты десек, артық болар. Жетістік - тек «Ізденген жетер мұратқа» деп ізденісті серік еткен ғылым мен қоғам саласындағы қайраткерлердің арқасы. Зерттеуші ғалымдар Госвами мен Брайант: «Адамдар арасындағы ерекшелік олардың нейрофизиологиялық ерекшеліктерінде емес керісінше тәжірибесінде» деген екен. Алғашқыда жабайы аңдарды үй жануарларына айналдырған адамзат баласының кейін техника жетістіктерін өз мүдделеріне қызмет жасауына қол жеткізуі ізденіс шыңына құлаш ұру болып табылады.Қоғамдық өндіргіш күштердің өркендеуіне орай дамыған қоғамдық сананың шарықтау шегі-барлық әрекетті пультпен басқару болатыны анық. Ғылымның дамыған шағындағы адам баласының игілігіне қызмет атқаратын «РОБОТ» терминін біз қалай түсінеміз? Оның пайдалы жақтары қандай? Кез-келген әрекеттің күнгейі мен көлеңкесі болатыны секілді робот атаулының зиянды жақтары да болуы мүмкін бе?Item Open Access ANALYZE AND DEVELOPMENT SYSTEM WITH MULTIPLE BIOMETRIC IDENTIFICATION(СДУ хабаршысы - 2020, 2020) Baimuratov O. ; Dadakhanov Sh.Abstract. Cause of a rapid increase in technological development, increasing identity theft, consumer fraud, the threat to personal data is also increasing every day. Methods developed earlier to ensure personal the information from the thefts was not effective and safe. Biometrics were introduced when it was needed technology for more efficient security of personal information. Old-fashioned traditional approaches like Personal identification number (PIN), passwords, keys, login ID can be forgotten, stolen or lost. 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 DATA COLLECTION TO IDENTIFY STUDENTS AT RISK OF NOT COMPLETING A COURSE USING MACHINE LEARNING(СДУ хабаршысы - 2023, 2023) Bairamova D.Abstract. One of the most important methods in the study of various subjects is the understanding at an early stage of the learning process on the part of both the teacher and the student that the student is in a risk group that will not complete the course successfully. Identifying this group of students at an early stage of learning increases the level of motivation of students to start studying well in time and can help the teacher individually determine which student needs help. Before identifying a group of students at risk of not completing the course successfully, an important part is to collect and prepare the necessary data (predictors) for teaching machine learning algorithms. Currently, this is necessary for both online and offline education. In the presented method of determining a group of students, various types of algorithms were used, where one of the best results of determining a group of students with risk and without risk was shown by Logistic Regression with a high AUC =0.8003. The SMOTE method was used in the work, which coped well with the problem of data imbalance of the "Pass" and "Not Pass" classes, while increasing the accuracy of the forecast for the minority class "Not Pass" by 11%. Using certain predictors of student performance, it is possible to derive additional information such as the level of interest in the lesson. the determination of the final score for the lesson, a certain category (A, B, C, D) of students with different characteristics and other indicators that contribute to the involvement of students in the lesson at the earliest stage of learning.Item Open Access ФРАКТАЛЬНАЯ РАЗМЕРНОСТЬ КАЗАХСТАНА(СДУ хабаршысы - 2019, 2019) Орынбасаров Д.Аннотация. Поскольку каждая страна имеет свои отличительные особенности, такие как столица, язык или город, для нее также может быть рассчитано граничное фрактальное измерение. Самое интересное, что фрактальное измерение для каждой страны различно, оно особенное и не совпадает, и поэтому оночем сложнее тем больше. Фрактальная размерность является одним из способов определения размерности множества в метрическом пространстве. В данной статье добавлен метод нахождения и окончательного расчета фрактальной размерности границы Казахстана.Item Open Access COMPUTER ANALYSIS OPTICAL COHERENCE TOMOGRAPHY IMAGES BY USING UNSUPERVISED MACHINE LEARNING ALGORITHM(СДУ хабаршысы - 2020, 2020) Amirgaliev Y. ; Tastembekov A. ; Bertailak Sh.Abstract. In recent years, computer image analysis has been developing rapidly. In the field of medicine has been identified to a new level that has greatly helped for the diagnostic system. There are many information systems in the field of ophthalmology and cardiology. Advanced technologies not only accelerate the work of doctors but also help to diagnose the disease in a timely manner and prescribe the treatment. In this research paper was carried out an analysis of the machine learning algorithm using a database of tomographic images of blood vessels in the eye system. Were studied the used methods for calculating several reasons in order to select a specific model, methods for calculating its properties and advantages. The main goal of this research is that doctors can not only check the current condition of the patient’s eye but also diagnose certain diseases, such as diabetes and anemiaItem Open Access AUTOMATIC ERROR CORRECTION: EVALUATING PERFORMANCE OF SPELL CHECKER TOOLS(СДУ хабаршысы - 2021, 2021) Tolegenova A.Abstract. Spell checking is the task of detecting and correcting spelling errors in text and is one of the most sought-after processes in NLP. There are many open-source toolkits for checking and correcting errors in the text. To test how effective these tools are, in this article I have presented an evaluation of three types of tools as NeuSpell, SymSpell and Hunspell. SymSpell showed a high speed of 2480, this is an indicator of how fast it works than others. And NeuSpell achieved the lowest error rate of 0.80%. The results show the disadvantages and advantages of all algorithms, and that there is still room for improvement.