OJS Tashkent State University of Economics
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    554 research outputs found

    MATHEMATICAL SUPPORT OF THE IMPEDANCE SPECTROSCOPY METHOD OF DETERMINING THE COMPOSITION OF UNDERGROUND RESERVE WATERS

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    This article is about finding an effective solution for determining the composition of groundwater. The spectral-impedance method proposed in the article allows to create devices for measuring all the main quality indicators of water [1]. The proposed method, in comparison with the currently used methods, increases the reliability of the assessment of the composition of underground water based on the measurement of the spectral impedance of the ions contained in the hydrogen indicator at the same time [2] [3] [4] [5]

    ARCHITECTURE AND PRIORITY ISSUES OF INTELLIGENT MILKING SYSTEM ON THE FARM

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    The dairy industry relies heavily on accurate milk measurement for productivity and quality control. Traditional manual methods are error-prone and labor-intensive. This paper discusses the development of smart milking systems that use advanced sensors and computational devices to measure milk parameters such as volume, flow, fat content, and pH in real time. These systems not only improve accuracy and efficiency but also enhance herd management, animal health, and farm profitability. Additionally, they aid in early disease detection and ensure milk safety. The paper explores the design, sensor selection, and integration of these systems, and proposes an intelligent milking system architecture

    КОРХОНАНИНГ БАРҚАРОР РИВОЖЛАНИШИНИНГ ДОИМО ТАКОМИЛЛАШУВЧАН АХБОРОТ МОДЕЛИ

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    Мақолада барқарор ривожланиш концепцияси ва ундаги муаммолар, ечиладиган масалалари ҳамда унинг ажралмас таркибий қисми ҳисобланган доимо такомиллашувчи цикли жараёнлари ва функционал масалалари тизимли таҳлил қилинган. Иқтисодиётни рақамлаштириш бўйича олимларнинг илмий тадқиқот ишлари ўрганилган. Доимо такомиллашувчи циклининг умумий ва бошқарув қарорларини шакллантириш ва амалга ошириш тизими чизмалари, ҳамда жараёнларининг функционал масалалари ва уларни ўзаро ахборотли бағлашдаги муаммолар келтирилган. Тадқиқот натижаси сифатида корхонанинг барқарор ривожланишининг доимо такомиллашувчан ахборот модели чизмаси, жараёнларининг таснифи, функционал масалалари ва уларни ўзаро ахборотли боғлаш ечимлари ишлаб чиқилган

    MOOC AXBOROT TIZIMLARIDA DIFFERENSIALLASHGAN TA\u27LIMNI AMALGA OSHIRISH

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    Axborot tizimlari sohasiga alohida e’tibor qaratgan holda ushbu maqolaning asosiy maqsadi  Massive Open Onlayn Kurslariga (MOOCs) differensial ta‘lim metodologiyalarini samaradorligi hamda oqibatlarini har tomonlama o\u27rganish va baholashdan iborat. Ushbu maqoladagi mavzu va talablarning o‘zaro aloqasi munosabatini ifodalovchi informativ modelni yaratish orqali MOOC doirasida differensial ta’lim strategiyalarini qo\u27llashda duch keladigan afzalliklar va to\u27siqlar haqida qimmatli ma\u27lumotlarga ega bo\u27lishi va shu bilan axborot tizimlari ta\u27limi sohasida onlayn ta\u27lim tajribasining umumiy sifatini oshirishga muhim hissa qo\u27shadi. Bundan tashqari, MOOC  axborot tizimlarida differensiallashtirilgan ta’limni joriy qilishda avval mavzudan o‘rganilgan kompitensiyalar ketma-ketligini qamrab olingan model joriy qilindi

    SPEECH COMMANDS RECOGNITION FOR UZBEK LANGUAGE USING AUDIO SPECTROGRAM TRANSFORMER

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    This paper presents a novel approach for training speech recognition models for the Uzbek language using the Audio Spectrogram Transformer (AST) algorithm. The study involves the collection of a dataset comprising speech commands in Uzbek, recorded with 28 speakers, and the training of AST models using this dataset. Two experiments are conducted: the first involves training AST models exclusively on the Uzbek dataset, while the second combines the Uzbek dataset with the widely used speechcommand v2 dataset. The results demonstrate the effectiveness of the AST algorithm in accurately recognizing Uzbek speech commands, with the combined dataset yielding particularly promising results. The evaluation accuracy for the combined dataset experiment reached 97.96%. The trained models are integrated into a Telegram bot (@UzVoiceDataSetBot), enabling users to interact with speech commands in Uzbek with high accuracy and speed. This research contributes to the advancement of speech recognition technology for the Uzbek language and highlights the potential of AST in multilingual speech processing applications

    SUYUQ MUHITLARNING OPTIK PARAMETRLARINI TADQIQ QILISH UCHUN REFRAKTOMETRLARNI QO‘LLASH TAHLILLLARI

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    To‘liq ichki qaytish elementlarida sodir bo‘ladigan fizik jarayonlar nazariyalari va o‘rganilayotgan muhitdagi yorug‘likning sinishi ko‘rsatkichini o‘lchashga asoslangan tahlil usuli refraktometriya o‘rganiladi. Ishlatilgan optik hodisalarga qarab va o‘lchash usullariga qarab refraktometrik usullar ko‘rib chiqiladi. Avtomatik refraktometrlarning asosiy texnik tavsiflari beriladi

    INTЕRNATIОNAL СООРЕRATIОN BЕTWЕЕN ISLAMIС DЕVЕLОРMЕNT BANK AND FINANСIAL INSTITUTIОNS ОF UZBЕKISTAN

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    Today, many countries of the world consider the Islamic financial system as a suitable alternative to the traditional economic model. This is due to a number of positive aspects and advantages of the Islamic economic model, including the fact that the Islamic economy is based on real assets, high profitability, low risk of bankruptcy, freedom from riba, compliance with ethical standards and the desire for social support

    OQIMLI SHIFRLASH UCHUN DASTURIY YECHIMLAR

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    Ushbu ishda, dasturiy amalga oshirish uchun qulay bo‘lgan va baytlar massivini aralashtirish tamoyiliga asoslangan yangi oqimli shifrlash algoritmi taklif etildi. Taklif qilingan algoritmning tasodifiylik darajasini baholash maqsadida NIST (Milliy Standartlar va Texnologiyalar Instituti) tomonidan ishlab chiqilgan statistik testlar qo‘llanildi va natijalar olingan hamda tahlil qilindi. Natijalar asosida algoritmning tasodifiy raqamlar generatsiya qilishdagi sifat ko‘rsatkichlari aniqlangan. Shuningdek, generatsiya qilish tezligi bo‘yicha olingan parametrlar boshqa mavjud usullar bilan solishtirilib, algoritmning samaradorligi va ishlash tezligi haqida xulosalar chiqarildi

    JARAYONNING XOTIRA MURAKKABLIGI

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    Ushbu maqola xotirani moslashtirish va to\u27ldirishning sinflar va tuzilmalar kabi ma\u27lumotlar tuzilmalarining xotira murakkabligiga ta\u27sirini o\u27rganadi. Xotiraning murakkabligiga maydonlar turi va soni, moslashtirish talablari va xotiraga kirishni optimallashtirish uchun kompilyator tomonidan kiritilgan to\u27ldirish kabi omillar ta\u27sir qiladi. Hizalama unumdorlikni oshirsa-da, chegara cheklovlarini qondirish uchun to\u27ldirishni qo\u27shish orqali qo\u27shimcha xotira yukini kiritadi. Matematik formulalar xotira murakkabligi maydon turlari, to\u27ldirish va tilga xos bo\u27lgan qo\u27shimcha xarajatlar asosida qanday hisoblanganligini ko\u27rsatish uchun ishlatiladi. Ushbu omillarni tushunish algoritmni loyihalash va optimallashtirishda xotirani yanada samarali boshqarish imkonini beradi

    MESSENJERLAR ORQALI XABAR ALMASHISHDA XAVFSIZ ALOQA MUAMMOLARI VA YECHIMLARI

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    Mazkur maqolada zamonaviy messenjerlar xavfsizligining dolzarb muammolari ko‘rib chiqiladi. Ayniqsa, end-to-end shifrlash (E2E) texnologiyasi tahlil qilindi va ushbu texnologiya turli messenjerlarda qanday joriy etilganiga e’tibor qaratildi. Telegram, WhatsApp, Signal va boshqa messenjerlar xavfsizlik choralari, shu jumladan shifrlash algoritmlari, xabarlarni sinxronlash va metadatalarning himoyasi ko‘rib chiqildi. Shuningdek, axborot xavfsizligi nuqtayi nazaridan, mobil platformalar va ulardagi messenjerlarning zaif tomonlari tahlil qilindi. Maqolada Signal protokoli va Double Ratchet algoritmi kabi kriptografik texnologiyalar batafsil ko‘rib chiqildi, ular yordamida xabarlarning xavfsizligi ta’minlanishi, shu bilan birga “Man in the middle” hujumlariga qarshi himoya choralari taqdim etildi. Messenjerlarning xavfsizlik kamchiliklari va imkoniyatlarini chuqur o‘rganish orqali, foydalanuvchilar o‘zlarining shaxsiy yozishmalarini qanday qilib yanada samarali himoya qilishlari mumkinligi ko‘rsatib berilgan

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