OJS Tashkent State University of Economics
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ARTIFICIAL INTELLIGENCE AND ITS ROLE IN EDUCATION
No full textThe purpose of this study is to study the role of artificial intelligence (AI) applications in education. Applications AI in many ways solve the problem of exponential growth of modern problems that create difficulties in accessing education and training. They play an essential role in the creation of social robots (SR), smart learning (SL) and intelligent learning systems (ITS). The review shows that the education sector should also use modern teaching methods. Looking into the flow, education sector organizations need to embrace AI technology as a necessity of the day and education
AKT VA SUN’IY INTELLEKTNING YASHIL IQTISODIYOTDAGI O’RNI
No full textUshbu maqola O‘zbekistonda axborot-kommunikatsiya texnologiyalari (AKT) va sun’iy intellektning (SI) yashil iqtisodiyotni rivojlantirishdagi rolini o‘rganadi. Tadqiqotda “O‘zbektelekom”, “NKMK”, “O‘zbekneftgaz” va “UZBAT” kabi yirik korxonalarning tajribasi tahlil qilinib, AKT energiya samaradorligini 8-10% ga oshirgani, SI esa emissiyalarni 5-7% ga kamaytirgani aniqlandi. Ushbu ishda statistik ma’lumotlar va real misollar orqali texnologiyalarning ekologik va iqtisodiy foydasi ko‘rsatiladi. Shu bilan birga, yuqori xarajatlar va mutaxassislar yetishmasligi kabi cheklovlar ham ta’kidlandi
OQIMLI SHIFRLASH ALGORITMLARI TAHLILI
No full textUshbu maqolada oqimli shifrlash algoritmlarining asosiy tushunchalari, turlari, qo‘llanilishi va xavfsizlik jihatlari muhokama qilindi. Ma’lumotlarni himoyalashda kriptografik bardoshliligi yuqori bo‘lgan RC4, Salsa20, ChaCha20, A5/2 simmetrik shifrlash algoritmlarining kelib chiqish tarixi, qo‘llanilish sohasi haqida so‘z yuritilgan. Bundan tashqari RC4 shifrlash algoritmining ishlash tartibiga ham alohida ahamiyat berilgan
KAHOOT INTERAKTIV PLATFORMASI YORDAMIDA O‘QUVCHILARNING FANLARGA QIZIQISHINI OSHIRISHNING SAMARALI YONDASHUVI
No full textUshbu maqolada zamonaviy ta’limda interaktiv texnologiyalar, xususan, Kahoot platformasidan foydalanish orqali o‘quvchilarning darsga bo‘lgan qiziqishini oshirish imkoniyatlari tahlil qilinadi. Amaliy kuzatuvlar va kichik tajribalar asosida ushbu vositaning samaradorligi baholangan. Maqolada o‘quvchilarning bilimini mustahkamlash, darsda faol ishtirokini ta’minlash hamda raqobat orqali motivatsiyani kuchaytirish kabi jihatlar alohida o‘rganilgan. Shuningdek, Kahootdan foydalanish metodikasi, unga mos dars ssenariylari va o‘qituvchi uchun qulayliklar ham yoritilgan. Tadqiqot natijalari shuni ko‘rsatadiki, interaktiv testlar orqali o‘quvchilar darsga faolroq jalb qilinadi va ular o‘z bilimlarini o‘yin tarzida qayta ko‘rib chiqish imkoniga ega bo‘ladi
INSONNING MUVOZANAT HOLATINI O‘LCHASH UCHUN ROMBERG TESTINI KO‘RIB CHIQISH
No full textUshbu maqolada Romberg testi haqida ma’lumotlar, bunday testdan qanday foydalanish va kimlarda foydalanish qanday amalga oshirilishi, Romberg testida foydalaniladigan qurilmalar haqida ma’lumotlar keltirib o‘tilgan
MATHEMATICAL AND SOFTWARE METHODS FOR VIRTUALIZING AND SIMULATING COMPLEX ROBOTIC SYSTEMS
No full textThis article explores the critical shift from physical prototypes to virtual twins in robotics, emphasizing how virtualization—supported by rigorous mathematical models and advanced software—has become essential for overcoming traditional challenges like cost, safety, and development speed. The authors outline key formalisms, including kinematics, dynamics, control theory, and behavioral models, and highlight their practical implementation in modern, web-native software architectures. Emerging technologies like WebAssembly and WebGPU are enabling high-performance, browser-based simulations, democratizing robotics tools for education, prototyping, and remote testing. Case studies demonstrate real-world applications, from beginner programming to industrial robotics collaboration. The article also anticipates future advancements, such as integrating AI and formal methods to enhance simulation realism, train intelligent agents, and ensure system safety. Ultimately, the authors argue that refining virtual modeling techniques will accelerate the development of more capable, reliable robots, further embedding robotics into everyday life
АХБОРОТ КОММУНИКАЦИЯ ТИЗИМЛАРИДА АХБОРОТНИ ЧИҚИБ КЕТИШДАН ҲИМОЯЛОВЧИ ДАСТУРИЙ ТАЪМИНОТИНИНГ ЯРАТИШ (DLP ТИЗИМИ АСОСИДА)
No full textМазкур мақола ахборот коммуникация тизимларида ахборотни чиқиб кетишдан ҳимояловчи (DLP – Data leakage prevention) дастурий таъминотининг яратиш масалаларига қаратилган
ПРИМЕНЕНИЕ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ ДЛЯ МАТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ ПРОЦЕССОВ РАЗВИТИЯ ВИРУСНОГО ГЕПАТИТА B
No full textВ данной работе представлены результаты применения современных информационных технологий для количественного анализа регуляторных механизмов функционирования гепатоцитов и динамики вируса гепатита B. Исследование основано на разработке и реализации математической и компьютерной модели, описывающей взаимодействие вирусных частиц и клеточных структур с использованием системы нелинейных дифференциальных уравнений гудвиновского типа. Модель учитывает процессы репликации вируса, иммунного ответа, а также внутриклеточные механизмы регуляции, позволяя оценить влияние различных параметров на скорость и характер течения инфекции. Для численного решения системы уравнений применены устойчивые и высокоточные численные методы (методы Рунге–Кутты высокого порядка, адаптивное изменение шага интегрирования). Разработанное программное обеспечение реализовано с использованием современных языков и библиотек научных вычислений, что обеспечивает возможность проведения вычислительных экспериментов, анализа чувствительности параметров модели и прогнозирования динамики заболевания. Полученные результаты демонстрируют эффективность интеграции математического моделирования и компьютерных технологий в исследовании механизмов развития вирусного гепатита B и могут быть использованы для оптимизации стратегий диагностики, лечения и профилактики заболевания
QR CODES WORKING PRINCIPLE AND ERROR CORRECTION ALGORITHMS
No full textIn the modern digital landscape, QR codes have become a universal medium for storing and transmitting information in fields such as mobile payments, logistics, healthcare, advertising, and electronic documentation. Their main advantage lies in compactness, fast readability, and the ability to store large amounts of data. However, in real-world conditions, QR codes are frequently exposed to distortions including noise, blurring, scratches, masking, geometric warping, or printing errors, which reduce decoding accuracy or make recognition impossible. To overcome these challenges, error correction mechanisms are embedded in QR codes, with Reed–Solomon (RS) coding being the most effective. This study aimed to evaluate the performance of classical detectors (OpenCV, Pyzbar), RS-based correction, and hybrid approaches under artificially induced degradations. A dataset of 100 QR codes was generated, systematically distorted with Gaussian noise, occlusion, blur, scratches, and perspective transformations, and tested for recovery. Results showed that baseline detectors performed well only on mildly degraded codes, with accuracy dropping below 50% in severe cases. RS coding achieved around 79% recovery across all categories, while hybrid approaches integrating preprocessing and RS demonstrated the highest accuracy (≈85%), ensuring robust restoration. The findings confirm the necessity of combining error correction with preprocessing for reliable QR code decoding in practical applications
TECHNOLOGIES USED IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE SYSTEMS
No full textThis article focuses on the technologies and approaches utilized in creating artificial intelligence programs and systems, emphasizing their distinct characteristics, functionalities, and advantages. It also reviews statistical data on AI systems and provides an analysis of the currently trending smart technologies