1-Article

РАСПРОСТРАНЕНИЕ ПРОДОЛЬНОЙ ВОЛНЫ НАПРЯЖЕНИЯ ОТ ТОНКОЙ СФЕРИЧЕСКОЙ ОБОЛОЧКИ В УПРУГО-ПОРИСТОЙ СРЕДЕ, НАСЫЩЕННОЙ ЖИДКОСТЬЮ

Мусурмонова М.О.

Туташ муҳитларда ностационар тўлқин жараѐнларини математик моделлаштириш ва тадқиқ қилиш деформацияланувчи жисмлар механикасида мураккаб ва шу билан бирга тўлқин динамикасининг муҳим йўналиши ҳисобланади. Шу жумладан, амалиѐт томонидан илгари сурилган кўплаб масалалар тўплами орасида деформацияланувчи жисмларнинг атрофмуҳит билан ностационар ўзаро таъсири кўриб чиқиладиган долзарб масалалардан бири ҳисобланади. Эластик жисмларда ностационар тўлқинларнинг тарқалиши ва дифракцияси муаммолари фан ва техника соҳаларида самолѐтсозлик, кемасозлик, фойдали қазилмаларни сейсмик изланишлари, иншоотларнинг сейсмик қаршилиги ва бошқа кўплаб соҳаларда катта назарий ва амалий аҳамиятга эга.

2-Article

НУТҚ КОРПУСИНИ ҲОСИЛ ҚИЛИШНИНГ ИЖТИМОИЙ ТAРМОҚ ХИЗМAТЛAРИГA AСОСЛAНГAН ЁНДAШУВИ

Очилов М.М

Ушбу мақолада автоматик нутқни таниш тизимини ишлаб чиқиш учун нутқ корпусни ҳосил қилишнинг ижтимоий тармоқ хизматларига асосланган ѐндашувлари келтириб ўтилган. Шунингдек мақолда нутқ корпусни ҳосил қилишнинг муамолари, ечимлари, усул ва воситалари келтирилган. Ижтимоий тармоқ хизматлари(Телеграм Бот) орқали корпус ҳосил қилишда овозларни йиғиш ва йиғилган овозларни сифатини баҳолашга мўлжалланган бот дастури алгоритми келтирилган

3-Article

ШАХСНИ НУТҚИ ОРҚАЛИ ИДЕНТИФИКАЦИЯЛАШ АЛГОРИТМЛАРИНИ АМАЛГА ОШИРИШ

Шукуров К.Э., Хасанов У.К., Тураев Б.Ш.

Ушбу мақолада сўзловчини сўзлашган нутқи орқали унинг шахсини реал вақт режимида аниқлаш тизимининг амалга ошириш босқичлари кўриб чиқилган. Сўзловчи сухандоннинг нутқи калит сўзи сифатида ѐзиб олинади. Дастлабки ишлов бериш босқичларидан ўтқазилиб хусусиятлар ажаратилади ва ўқитилиб тизимга сақлаб қўйилади. Ихтиѐрий бошқа сўзловчининг сўзлаган нутқи калит сўз сифатида қабул қилиниб, тизимда олдиндан сақланган намуналар билан Векторли квантлаш усули ѐрдамида таққосланади. Танланган усул орқали сўзловчини шахсини аниқлаш алгоритмининг аниқлик даражаси 96%ни ташкил этди

4-Article

TA'LIMDA KATTA HAJMLI MA`LUMOTLAR

Primova M. X., Elov B.B.

Maqolada ta`lim tizimidagi katta hajmli ma`lumotlar bilan ishlash masalasi ko`rib chiqiladi. Katta hajmli ma'lumotlar bilan ishlashdagi 5V konsepsiyasi: hajm, tezlik, xilma-xillik, o'zgaruvchanlik va haqiqat batafsil tavsiflangan. Shunigdek, ta`limda o`quv jarayonini boshqarish tizimlari (LMS)ni joriy etish orqali ma`lumotlar bazasida hosil bo`ladigan katta hajmli ma`lumotlarni qayta ishlash usullari tahlil qilingan. Talabalar va o`qituvchilar tomonidan muntazam LMSdan foydalanishlari natijasida ma`lumotlar bazasida katta hajmdagi ma'lumotlarni to’planadi. BigData bilan shug`ullanadigan jahonning yetakchi olimlarining tadqiqotlarigaga ko'ra, katta hajmli ma'lumotlarning ta'limga olib kelgan eng muhim o'zgarishi - bu ta'lim tizimlarini monitoringi hisoblanadi.

5-Article

СОВЕРШЕНСТВОВАНИЕ МЕТОДОВ МОНИТОРИНГА ТЕЛЕКОММУНИКАЦИОННОЙ ИНФРАСТРУКТУРЫ НА ОСНОВЕ ГИС-ТЕХНОЛОГИЙ

Ишанходжаев О.А., Сайфуллаева Н.А., Эшмуродов Д.Э.

Maqolada GIS texnologiyalarining telekommunikatsiya infratuzilmasini monitoring qilishdagi faoliyati va takomillashtirilgan usullari ko'rib chiqilgan. Telekommunikatsiya tizimlarida tarmoqni tahlil qilish muammolarining asosiy bosqichlari va GIS texnologiyalari yordamida maslaning echilish usullari tahlil qilingan.

6-Article

ҚИШЛОҚ ТЕЛЕКОММУНИКАЦИЯ ТАРМОҚЛАРИНИНГ ИШОНЧЛИЛИГИНИ КАМАЙТИРАДИГАН ОМИЛЛАРНИНГ ТАҲЛИЛИ

Нормуродов А

Мақолада қишлоқ телекоммуникация тармоқларининг эксплуатацион ишончлилигини камайтирадиган асосий омил электр таъминоти тармоғидан аҳоли яшаш жойларидаги АТСларга электр энергиясининг берилишини узилиши эканлиги таъкидланади. Турли вилоят ва туманлардаги аҳоли яшаш жойларида электр энергиясини берилишидаги узилишларни статистик тадқиқ қилиш натижалари келтирилган

7-Article

ЦИФРОВАЯ ТЕХНОЛОГИЯ ПРОЕКТИРОВАНИЯ И ПРОИЗВОДСТВА ЖЕНСКОЙ ОДЕЖДЫ

Абдукаримова М.А., Махсудов Ш.А.

Лойиҳалаш жараѐнини тўлиқ автоматлаштириш имконини берадиган аѐллар кийими базавий асос чизмасининг чизиқли ва ѐйсимон график элементларининг аналитик ҳисоблаш усули таклиф этилди. Елка нуқтасининг горизонтал ва вертикал бўйлаб силжишининг параметрларини ҳисоблаш учун елканинг оғиш бурчаги ва елка нуқтаси жойлашуви буюмнинг ҳажмли-силуэтли шаклига нисбатан аналитик боғлиқликлари таклиф этилди

8-Article

ЎЗБЕКИСТОН РЕСПУБЛИКАСИ ЧЕГАРАСИ УЗУНЛИГИНИНГ ФРАКТАЛ ЎЛЧОВИ

Анарова Ш. А., Бердиев Ғ.Р., Саидкулов Э.A., Абдурахмонов А.А.

Ушбу мақолада табиатдаги фрактал шакллар, уларнинг хусусиятлари, шунингдек, фрактал ўлчов тушунчаси ҳақида фикрлар берилган. Шаклларнинг фрактал характерини ўлчаш учун фрактал хусусиятларини аниқ кўрсатадиган ўлчов маълумотларини таҳлил қилувчи беш хил усул: кублар, қоплама, локал-дисперсия, призма ҳамда Ричардсон эффекти усуллари тавсифланган. Ушбу бешта усулнинг ҳар бири бўйича фрактал ўлчовни аниқлашнинг бир-биридан фарқ қилувчи алгоритмлари тақдим этилиб, ўзаро таққослаш орқали амалий қўллашга тавсиялар берилган. Шунингдек, мақолада фракталларнинг энг муҳим хусусиятларини ва уларнинг географик ҳодисалар билан алоқалари қисқача баѐн қилинган. Масштабланган харита ѐрдамида Ўзбекистон Республикасининг чегараси узунлиги ва унинг фрактал ўлчовини аниқлаш учун Л.Ф.Ричардсон эффекти усули қўлланилиб стандарт формула ѐрдамида мавжуд параметрик қийматлар бериш орқали картографик чизиқларнинг чизиқли функцияси ҳамда фрактал ўлчов нинг миқдорий қиймати олинган.

9-Article

ЭЛЕКТРОМИОГРАФИЯ СИГНАЛИ АСОСИДА ҚЎЛ ХАРАКАТЛАРИНИ ТАНИШ ЖАРАЁНИ ВА УСУЛЛАРИНИНГ ТАҲЛИЛИ

Зоҳиров Қ.Р.

Мақолада электромиография (ЭМГ) сигнали асосида қўл харакатларини танишда бажариладиган жараѐнлар кетма-кетлиги ва амалга оширилган усулларнинг таҳлили келтирилган.

10-Article

THE USE OF SATELLITE IMAGES FOR MONITORING AND FORECASTING GROUNDWATER BASED ON REMOTE SENSING OF THE EARTH

Seytnazarov K.K., Dosymbetov A., Aytanov A.

Ушбу мақолада, хусусан, ер фани бўйича илмий-тадқиқот ва ривожлантириш ахборотида янги босқич сифатида очилган космик суратларни таниб олиш бўйича объектни масофадан зондлашнинг замонавий усуллари ҳақида маълумот берилган. ERDAS IMAGINE дастурий маҳсулотига асосланган масофавий зондлаш тизимининг тузилиши таклиф этилади, бу турли хил растерли ва векторли геокосмик маълумотларни қайта ишлаш ва таҳлил қилишни бирлаштиради, бу сизга аэрокосмик тасвирларни қайта ишлаш натижасида олинган геоференциал тасвирлар, векторли хариталар каби маҳсулотларни яратишга имкон беради. Ишлаб чиқилган методика, ҳозирги вақтда амалга оширилаѐтган усуллардан фарқли ўлароқ, биноларнинг тузилиши ва динамикасини, замонавий функционал товушларни, тузилишини ва табиий-экологик доирадаги ўзгаришларни тезда аниқлаб олишга имкон беради, космик тасвирларни юқори даражада ишончлилиги билан фарқ қилади. ЭРС космик тизимлари бошқа тизимларга нисбатан фавқулодда вазият ва экологик вазият зонаси катта ҳудудни қамраб оладиган ѐки турли сабабларга кўра буни бошқа йўллар билан амалга ошириб бўлмайдиган ҳолатларда вазиятни баҳолаш ва маълумот олиш учун устунликка эга. Бундай ҳолларда, сув ресурсларини, хусусан ичимлик сувини ноқулай аҳволда бўлган аҳоли пунктлари учун тезкор излаш, муҳим рол ўйнайди.

11-Article

AXBOROT TIZIMIGA QARATILGAN BUZGʻUNCHI HUJUMLARINING OLDINI OLISH USULLARI

Moʻminov B.B., Bekmirzayev O.N

Ushbu maqolada axborot tizimiga buzgʻunchilar tomonidan amalga oshirilayotgan hujumlarning oldini olish masalalari koʻrilgan. Signatura, profil va holatlar usullarini toʻgʻri joriy etish asosida axborot tizimlarining tarmoq va host darajasida hujumlarni aniqlash tavsiya etilgan. Аxborot tizimiga buzgʻunchi tomonidan amalga oshirilgan hujum izlarini toʻplash va bartaraf etish uchun kerakli chora tadbirlar hamda hujumning hayotiy siklini barcha bosqichlarida samarali aniqlash uchun signatura, profil va holat usullaridan birgalikda foydalanish taklif etilgan.

12-Article

ИНТЕЛЛЕКТУАЛ МУЛОҚОТ ТИЗИМЛАРИ АСОСИДА СЎРОВЛАРНИ ЯРАТИШ МОДЕЛ ВА УСУЛЛАРИ

Мўминов Б.Б., Бекмуродов У.Б.

Мақолада билимларни ифодалаш ва тасвирлашнинг турли усуллари ўрганилган. Продукцион модел, формал-мантиқий, семантик тармоқ, фреймлар ва онтологиялар урганилди. Онтологиянинг модели тадқиқот усули сифатида қаралган. Онтология асосида кўриб чиқилаѐтган предмет соҳада натижалар баѐн қилинган. Онтология инсон ва компютер учун объектларни тушунишни боғлайди, яъни мулоқот қилишнинг асосидир. Бундай яратилган онтология луғатларнинг спецификацияси, тўлдирилиши ва сақланиши учун фойдали бўлиши мумкин. Бироқ, луғат онтологиялари чекланган, чунки улар атамаларнинг маъносини очиқ-ойдин тушунтирмайди. Мета-тавсифларни контентлар, маълумотлар ва билимлар базаларига ҳавола қилиш билан бирлаштириш бугунги кунда ҳам илмий соҳаларда, ҳам амалий фаолиятнинг кўплаб соҳаларида кенг тарқалганлигини қўриб чиқдик.

13-Article

КАТТА ЛУҒАТ ҲАЖМИГА ЭГА УЗЛУКСИЗ НУТҚНИ ТАНИШНИНГ END-TO-END МОДЕЛЛАРИ

Мусаев М.М, Очилов М.М, Хужаяров И.Ш.

Ушбу мақолада катта луғат ҳажмига эга нутқни таниш тизимларини яратишда қўлланиладиган замонавий end-to-end моделларининг CTC га, RNN-tranduser ва Attention ѐндашувларининг архитектуралари қараб чиқилган. Шу билан биргаликда ушбу моделларнинг нутқни таниб олишдаги афзалликлари ва камчиликлари бўйича таҳлилий маълумотлар келтирилган.

14-Article

УСОВЕРШЕНСТВОВАННЫЙ МЕТОД ИЗВЛЕЧЕНИЯ ПРИЗНАКОВ ДЛЯ ИДЕНТИФИКАЦИИ ДИКТОРА С ИСПОЛЬЗОВАНИЕМ АЛГОРИТМА КЛАССИФИКАЦИИ

Абдуллаева М.И., Очилов М.М., Ибрагимова С.Н.

Илмий тадқиқотлар сухандонни идентификациялашда иш фаолиятини яхшилаш имкониятларини аниқлашга қаратилган. Ушбу мақолада чекланган лугат тўпламидан ўзбек тилида жумлаларни талаффуз қилувчи сухандонни юқори аниқлик билан аниқлашнинг такомиллаштирилган усулини тақдим этилган. Унга кўра хусусият векторини ҳисоблаш учун MFCC / DMFCC / DDMFCC ва қарор қабул қилиш учун Гаусс аралашмаси модели (GMM) дан фойдаланилган. Cўнгги MFCC иловалари динамик идентификатсиясини яхшилайдиган Делта MFCC (DMFCC) ва Делта-Делта MFCC (DDMFCC) аниқланган. Экспериментал натижаларга кўра, анъанавий MFCC томонидан сухандонни идентификатсияси GMM таснифи алгоритми билан биргаликда (94,5%) иккинчи (DMFCC + GMM -96,8%) ва учинчи (DDMFCC + GMM - 98,1%) хусусиятни ажратиб олиш усулларидан паст. DDMFCCни GMM билан биргаликда ишлатишда кузатилган самарадорлик 98,1% ни ташкил қилади.

15-Article

АЛГОРИТМ ОЦЕНКИ И УПРАВЛЕНИЯ КАЧЕСТВОМ ОБРАЗОВАТЕЛЬНЫХ ИНФОРМАЦИОННЫХ СИСТЕМ

Ёркулов Б. А.

Мақолада жамиятнинг рақамли ўзгариши шароитида таълим ахборот тизимлари сифатини баҳолаш муаммоси кўриб чиқилган. Ахборот тизимлари сифатини эксперт баҳолари асосида аниқлаш методи таклиф қилинган. Ушбу метод шуниси билан фарқ қиладики, норавшан тўпламлар назариясидан фойдаланган ҳолда тизим ҳолатини сифатли баҳолашни имконини беради. Методга киритилган сифатни баҳолаш норавшан моделлари ва уларга тегишли алгоритмлар, эксперт маълумотлари асосида, таълим ахборот тизимларини ишлаб чиқиш, жорий этиш ва улардан фойдаланиш босқичларида сифатини баҳолашга имкон беради. Методни татбиқ этиш таълим ахборот тизимлари ва умумий ўқув жараѐни сифатини бошқариш жараѐнининг самарадорлигини оширишга имкон яратади

16-Article

ТЕЛЕКОММУНИКАЦИЯ ТАРМОҚЛАРИДА ТЕЛЕВИЗИОН ТАСВИРЛАРНИ ҚАЙТА ИШЛАШ ШАКЛЛАРИ ВА УСУЛЛАРИ

Носиров Х.Х., Норинов М.У., Искандаров У.У

Маколада тасвирларга рақамли ишлов беришнинг мухим ахамияти хамда визуал ахборотларни қайта ишлаш, сигналларни сиқишнинг самарали усул ѐхуд алгоритмлари, мослашувчанлик ва қўллаш сохалари баѐн этилган. Жумладан инсон кўзи видио ахборотларни интеграл-дифференциал ишлаш тамойиллари устида тўхталиб, унинг кўриш тизими функциялари вақт бўйича интеграл ўзгаришига ахамият берилган. Бу тизимларда элементларнинг ортиқчалари, видео назорат объектининг спектр таркиби, кўриш тизимини фазодаги координатлари, ѐритилганлик, рангнинг миқдорий тавсифи, ранг тони, тўлқин узунликлари, ранг тозалиги, характеристикалари кўриб чиқилган. Шу жумладан ахборот сиғими, равшанлик, тонли пағоналар нотекислиги, оптик зичликнинг логарифмик ўзгариши, оптик зичликлар фарқи, умумий ва локал хамда элемент контрастларининг матиматик ифодалари назарий таҳлил этилган Макола объект тасвирининг ҳажми, қайта ҳосил қилинган тасвир, уларни қайта ишлаш, текислаш, шовқинларни фильтрлаш, равшанлиги, контрастлар, сенсорли тизимлар ночизиқлиги, ТВ сигналлар спектрини сиқиш, визуализация тизимларида тасвирни қайта ишлаш усулларини такомиллаштириш тадқиқотларини ўз ичига олади.

17-Article

ИССЛЕДОВАНИЕ МУЛЬТИМЕДИЙНОГО ТРАФИКА ЭЛЕМЕНТОВ ИНТЕРНЕТА ВЕЩЕЙ

Мурадова А.А., Давлетова Х.Р.

Maqolada Internet ashyolarining (Internet of Things, IoT) tizimlarini qurish va o'zaro aloqasi uchun mos etalon modellari variantlari taqdim etilgan. Muammoni hal qilish natijalari, ya'ni ma'lumotlarni yig'ish va aqlli uy tizimlarida ishlatiladigan qurilmalar - aqlli soketlarning trafik tahlillari keltirilgan. "Aqlli" rozetka - bu odatda qulaylik va xavfsizlik uchun korpus bilan himoyalangan, modul (Wi-Fi, ZigBee va boshqalar) bilan birlashtirilgan tanish qurilma. TP-Link va Redmond tomonidan ishlab chiqarilgan rozetkalar ko’rib chiqilgan. Trafik ma'lumotlarini aniqroq olish uchun ishlab chiqarilgan va olingan ma'lumotlar hisobga olinadi. Taqdim etilgan qurilmalarning ishlashi to'g'risida olingan ma'lumotlarning natijalari trafik hajmidagi sakrashlarni va umuman tizimning xatti-harakatlarini bashorat qilish uchun, shuningdek, aqlli tarmoqlarning to'g'ridan-to'g'ri kompyuter modellari uchun chuqurroq o'rganish uchun ishlatilishi mumkin. "Aqlli" rozetkalarning harakatlanish xususiyatlarini taqdim etilgan baholash, shuningdek, har bir qurilmaning ishlash printsipi va uni ma'lum bir tizimda ishlatish maqsadga muvofiqligi to'g'risida fikr beradi.

18-Article

ПОЕЗДЛАРГА ОГОҲЛАНТИРИШ БЕРИШ ЖАРАЁНЛАРИНИ АВТОМАТЛАШТИРИШ

Арипов Н.М., Камалетдинов Ш.Ш., Тохиров Н.С., Суяров С.У

Ушбу мақолада маҳаллий ва хорижий темир йўлларда ҳаракатни ташкил этишда поездларга огоҳлантиришлар беришнинг ҳозирги кундаги ҳолати келтирилган. Огоҳлантиришлар бериш учун талабномалар бериш технологиясини такомиллаштириш йўналишлари аниқланди. Таклиф этилаѐтган технологиянинг схемаси тузилди ва жараѐн иштирокчиларининг ҳаракатлари тартиби аниқланди

19-Article

ФРАКТАЛ ЎЛЧОВ ВА УНИНГ ҚЎЛЛАНИЛИШ ИСТИҚБОЛЛАРИ

Зайнидинов Х.Н., Анарова Ш.А., Жаббаров Ж.С

Мазкур мақола фрактал ўлчов ва унинг истиқболдаги ўрнини ўрганишга бағишланган. Мақолада фракталлар тушунчаси, хусусиятлари, М.Ричарднинг кўп ўлчовли масштаблаш коэффиценти, Б.Мандельброт тарифи, Бранер ўлчови (оддий ўлчов), Хаусдорф-Безикович ўлчови, Минковский-Булиган ўлчови, топологик ўлчов, фрактал ўлчови тушунчаси билан Евклид геометриясидаги ўлчов орасидаги фарқлар таърифлар ѐрдамида асослаб берилган. Шунингдек, бир қанча геометрик шаклларнинг фрактал ўлчовлари ҳисоблаб чиқилган. Жумладан Кох эгри чизиғи, Гивен (шляпа) эгри чизиғи, Контор тўплами, тўрт қиррали юлдузсимон фрактал, квадратнинг бўялган ҳолати учун, квадрат контори учун, Серпин гиламларининг (бўялган ҳолати учун) фрактал ўлчовлари ҳисоблаб чиқилган. Фрактал ўлчовни аниқлашда Хаусдорф-Безикович ва Минковский-Булиган ўлчовларидан фойдаланилган. Натижалар такрорланишнинг ҳар бир қадамида олинган, улар формула ҳамда графиклар кўринишда келтирилган.

20-Article

ПАСКАЛЬ УЧБУРЧАГИГА АСОСЛАНГАН ФРАКТАЛЛАР ВА УЛАРНИНГ ЎЛЧОВЛАРИ

Нуралиев Ф. М., Анарова Ш. А., Нарзуллоев О.М.

Ушбу мақолада арифметик хусусиятли биномиал қўпҳадлар назарияси усулларини қўллаб Паскаль учбурчаги асосидаги алгебраик тузилмалар ва туб сонлар назарияси ҳисобга олган ҳолда фрактал кўринишдаги тасвирларни визуаллаштириш ҳамда Mod p ни қўллаб Паскаль учбурчаги ҳосил қилинган. Паскаль учбурчагига икки модулини қўллаш орқали Серпин учбурчагига яқинлаштирилган фрактал шакл ҳосил қилинди. Паскаль учбурчагига асосланган фракталларни ўлчовини аниқлаш келтирилган. Ишлаб чиқилган алгоритмларни эксперементал тадқиқ қилиш натижалари келтирилган

21-Article

КИНОПЛЁНКАЛАРНИ РАҚАМЛАШТИРИШ ВА УЛАРНИ ҚАЙТА ИШЛАШ УСУЛ ВА АЛГОРИТМЛАРИ

Мухамадиев А.Ш.

Мақолада Киноплѐнкаларни рақамлаштириш ва ундаги тасвирларни қайта тиклаш усуллари тавсифланади. Кадр ичидаги бузилган соҳаларни автоматик топиш ва қайта тиклаш алгоритми таклиф этилган. Бузилган кадрни аниқлаш ва қайта тиклаш усули келтирилган.

22-Article

ЮЗНИ ТAНИБ ОЛИШНИНГ МAВЖУД УСУЛЛAРИ ТAҲЛИЛИ

Рахматов Ф.A., Мелиқулов С.П

Ушбу мақолада юзни таниб олиш учун мавжуд бўлган усуллар, алгоритмлар ва тизимлар таҳлил қилинган, шунингдек таниб олиш жараѐнининг умумий структураси кўриб чиқилган. Ишда мавжуд юзни аниқлаш усуллари Elastic Graph Matching (EGM)|, Aсосий компонентларни таҳлил қилиш (PCA), нейрон тармоқлари ва Яширин Марков моделларинининг (ЯММ) солиштирма таҳлили келтирилган. Таҳлил натижасида юзни таниш тизимларни яратиш бўйича усуллар ва алгоритмлари таклиф етилган.

23-Article

ПСЕВДОТАСОДИФИЙ КЕТМА-КЕТЛИК ГЕНЕРАТОРИ АСОСИДА МАСОФАДАН ФОЙДАЛАНУВЧИНИНГ АУТЕНТИФИКАТОРИНИ ЯРАТИШ

Ганиев С.К., Имамалиев А.Т.

Масофадаги фойдаланувчини хавфсиз аутентификациялаш схемаларини ишлаб чиқиш ҳамма вақт очиқ ва долзарб муаммо бўлиб қолмоқда. Сўнгги пайтларда кўплаб тадқиқотлар ўтказилиб, аутентификация алгоритмлари ва уларни амалга ошириш схемалари таклиф этилган. Мисол тариқасида, Лин ва Хван, Ислом ва Бисвас, Акаш Шафиқ ва бошқаларнинг паролларга асосланган масофадан аутентификациялаш схемаларини келтириш мумкин. Аммо, тадқиқот натижалари паролларга асосланган аутентификациялаш схемаларининг заифлигини, ҳужумга бардошсизлигини кўрсатди. Ушбу мақола, псевдотасодифий кетма-кетлик генератори асосида, бир мартали паролларни шакллантириш орқали, масофадан аутентификациялаш қурилмасини яратиш масаласига бағишланган.

24-Article

РАЗРАБОТКА МНОГОФУНКЦИОНАЛЬНОЙ МЕДИЦИНСКОЙ ДИАГНОСТИЧЕСКОЙ СИСТЕМЫ НА ОСНОВЕ СОВРЕМЕННОЙ ЭЛЕМЕНТНОЙ БАЗЫ

Джуманов Ж.Х., Абдурашидова К.Т., Ражабов Ф.Ф.

Ushbu maqolada tabiiy yoki induksiyalangan biosignallarni o'lchovchi zamonaviy elementlar bazasiga asoslangan ko'p funktsional tibbiy diagnostika tizimini yaratish va ishlab chiqish masalasi ko’rib chiqilgan. Virtual tibbiy asboblarda raqamli diagnostikadan foydalanish, shuningdek, uning yordamida ko'p funktsiyali diagnostika tizimini yaratish orqali samarali texnologiya sifatida qaraladi, bu esa noinvaziv usul yordamida yurak-qon tomir kasalliklari xavfini dastlabki bosqichda aniqlashga imkon beradi.

25-Article

RAQAMLI TA’LIM KOMPITENTLIGINI SHAKLLANTIRISH BO`YICHA ZAMONAVIY YONDASHUV

Sadullayeva Sh.A., Ibragimova T.F.

Ushbu maqolada raqamli ta’lim ko‘nikmalarini shakllantirish mexanizmi batafsil tahlil qilingan. Raqamli texnologiyalarning ta’limdagi ahamiyati, zamonaviy o‘quv jarayonida raqamli ko‘nikmalarni rivojlantirishning usullari va bosqichlari yoritilgan. Shuningdek, texnologik savodxonlikni oshirish va ta’lim jarayonining samaradorligini ta’minlash uchun takliflar ishlab chiqilgan.

26-Article

MATHEMATICAL MODELS AND NUMERICAL ALGORITHM FOR SOLVING OIL FILTRATION PROBLEMS IN A DYNAMICALLY COUPLED THREE-LAYER POROUS MEDIUM

Nazirova E.SH., Ne’matov A., Sadikov R.T., Mahmudova M.M.

In this article, a mathematical model of the parabolic type has been developed, which makes it possible to investigate and predict complex processes occurring in interconnected inhomogeneous porous media of oil fields with sluggish conductive layers between each of the three layers. Numerical methods for solving a parabolic differential equation based on these boundary conditions have been developed in the disclosure and non-disclosure forms of the finite subtraction method. Effective calculation algorithms based on a number of developed methods are presented. Based on a numerical algorithm, a program has been created to solve the problem of oil filtration in porous media with dynamic interaction with three layers of weakly permeable formations. Based on the created program, computational experiments were conducted to determine the stagnation of the computational process. In an experiment based on changes in the time step, it is argued that the revealing form of the finite subtraction method is not constant stationary. Computational experiments were carried out and investigated in order to study the effect of pressure changes in the upper and lower layers during the extraction of oil from the second layer of a porous medium in a three-layer oil filtration system connected in dynamic interaction with weakly permeable layers. Based on a mathematical model and a computational algorithm, software is advanced to calculate the main indicators of seeding of an oil field in a dynamically coupled three-layer system using MATLAB software.

27-Article

ЮПҚА ПЛАСТИНАНИНГ ТЕРМО-ЭЛЕКТРО-МАНГНИТ ЭЛАСТИКЛИГИНИНГ МАТЕМАТИК МОДЕЛИ

Нуралиев Ф.М., Мирзаахмедов М.К., Абдуллаев О.К., Тоҳиров Б.Н.

Ушбу мақолада Гамильтон-Остроградский вариацион принципидан фойдаланиб математик модел қуриш кўриб чиқилади. Киргоф-Ляв гипотезаси асосида уч ўлчовли модель икки ўлчамли моделга ўтказилди. Потенциал ва кинетик энергияни вариацион кўриниши ҳамда ташқи кучлар иши вариацияси аниқланди. Геометрик чизиқли шаклда Коши ва Дюамел-Нейман муносабатлари, Гук қонуни ҳамда Лоренц кучи ва Максвелл электромагнит тензор кўринишидан фойдаланиб, пластинанинг деформацион кучланиш ҳолатига термо-электро-мангнит-эластиклик таъсирлари кўрилди. Натижада кўчишга ва хароратга нисбатан бошланғич ва чегаравий шартларга эга хусусий ҳосилали дифференциал тенгламалар системаси кўринишидаги математик модель олинди.

28-Article

MATHEMATICAL MODELING REFLECTIONLESS TRANSMISSION OF THE BRIGHT SOLITON SOLUTION OF THE NONLINEAR KLEIN GORDON EQUATION ON METRIC STAR GRAPHS

Asadov Q.U., Sabirov K.K.

В данной работе мы рассматривали моделирование безотражательного прохождения “bright” солитонного решения нелинейного уравнения Клейн Гордона на метрическом звездообразном графе с тремя полубесконечными ребрами. В точке разветвления поставили два типа вершинных граничных условий: весовую непрерывность и условие для производных волновых функций в виде обобщенного правила Кирхгофа. Мы решали это уравнение, удовлетворяющее вершинным граничным условиям, из которых выводятся законы сохранения энергии и импульса. Также показывали безотражательное распространение “bright” солитонного решения с помощью нескольких разностных схем. Итак, мы показывали, что “bright” солитонное решение удовлетворяет вершинным граничным условиям, но оно неустойчиво.

29-Article

SOG‘LIQNI SAQLASH SOHASIDA METODOLOGIYA DASTURIDA KATTA HAJMDAGI MA’LUMOTLAR TAHLILI

Davirov B.B., Babayev S.S.

Maqolada katta hajmdagi ma’lumotlarning eng muhim xususiyatlari shuningdek, katta hajmdagi ma’lumotlar tahlilining har xil turlari, katta hajmdagi ma’lumotlarni tahlil qilish jarayoni va katta hajmdagi ma’lumotlarga oid ba’zi muhim muammolar tadqiq qilingan.

30-Article

O‘NG TOMONDAN TASODIFIY SENZURLANISHNING UMUMIY MODELIDA TAQSIMOT FUNKSIYASINING BAHOLARI VA ULARNI SONLI SOLISHTIRISH

Bozorov S.B.

Ushbu maqolada o‘ng tomondan tasodifiy senzurlanish modelni qarashimiz sababi, ushbu modelni metodik jihatdan tushuntirish juda qulaydir. Senzurlanishning bir nechta turlari mavjud (o‘ngdan, chapdan, har ikkala tomondan, tavakkallik risklar bilan aralashtirilgan va boshqalar). Bunday modellar meditsina, biologiya, sug‘urta ishi, demografiya va sanoat tajribalarida, umuman olganda amaliyot bilan bog‘liq bo‘lgan ko‘plab sohalarda uchrab turadi. Oldindan silliqlangan darajadagi tavakkalliklar nisbati funksiyasi asosida o‘ng tomondan tasodifiy senzurlanish modelida taqsimot funksiyasini noparametrik baholash muhokama qilinadi.

31-Article

AVTOMOBIL TRANSPORT TIZIMIDAGI AXBOROT OQIMLARINI SAMARALI BOSHQARISH

Djurayеv T.B.

Ushbu maqolada Avtomabil transport tizimi faoliyatini boshqarishda global axborot oqimlarini optimallashtirish masalasi ko‘rib chiqilgan bo‘lib, korxona ta’minot boshqaruv va ishlab chiqarish funksiyalarini amalga oshirishning axborot oqimining matеmatik ta’minoti va tuzilmasi ishlab chiqilgan. Avtomobil transporti ekspluatatsiyasining tashkiliy shakllarini optimallashtirish modеllarining axborot oqimlari va axborotlar yordamida tartibga solish va faol bashoratlash masalalari yechilgan.

32-Article

МОДЕЛЬ ПАРАЛЛЕЛЬНОЙ ОБРАБОТКИ ПАКЕТОВ В КОММУТАТОРЕ ПРОГРАММНО-КОНФИГУРИРУЕМОЙ СЕТИ

Амирсаидов У.Б.

Проводится анализ моделей обработки пакетов в коммутаторе программно-конфигурируемой сети, разработана модель параллельно конвейерной обработки пакетов, проводится имитационное моделирование OpenFlow коммутатора с последовательной и параллельной конвейерной обработкой пакетов, определены вероятностно-временные характеристики обслуживания пакетов.

33-Article

ОБЗОР АППАРАТНО-ПРОГРАММНЫХ СРЕДСТВ МОНИТОРИРОВАНИЯ ОПОРНО-ДВИГАТЕЛЬНОГО АППАРАТА ЧЕЛОВЕКА В СПОРТИВНОЙ БИОМЕХАНИКЕ

Каххаров А.А., Абдуллаева М.И., Каримова М.Б.

Спортивная биомеханика является ключевой областью исследований, направленных на понимание физиологических и механических аспектов движений человека в спортивной деятельности. В данной статье представлен обзор современных аппаратно-программных средств, используемых для мониторирования опорно-двигательного аппарата человека и анализа параметров движения. Целью данного исследования является анализ существующих программно-аппаратных средств для мониторинга формы двигательного аппарата и определение их возможностей и ограничений. Основное внимание уделено технологиям захвата движений, таким как системы анализа движений, электромиография, динамометрия. Рассмотрены особенности работы таких ведущих систем, как Vicon Motion Capture Systems, OptiTrack Motion Capture Systems, Qualisys Motion Capture Systems и Motion Analysis Corporation Systems, а также их преимущества и ограничения. Данное исследование позволяет обозначить ключевые технологии и инструменты, способствующие более точному и всестороннему анализу движений человека в спортивной биомеханике, что в конечном итоге может привести к улучшению результатов в спорте, реабилитации и медицинской практике.

34-Article

USING B-SPLINE FUNCTION IN IMAGE PROCESSING

Azimov B.R., Gafurov S.A., Muxammadaliyev N.V.

The utilization of B-spline functions in image processing has emerged as a prominent technique for enhancing image quality, extracting features, and enabling sophisticated manipulation. This paper presents a comprehensive analysis of the application of B-spline functions in various aspects of image processing. B-spline functions, known for their ability to represent complex curves and surfaces, offer unique advantages in image interpolation, noise reduction, edge detection, and image registration. This paper shows the research results to increase the size of image without losing image resolution. B-spline approximation based on a two-dimensional quadratic interpolation is used to approximate the image color value after enlargement processes. Smoothing iterations are also performed twice to obtain better results. A quadratic function is used as transformation. The results show that this method can smooth images when the resolution is increased. We also explain how the B-spline interpolation of signals and of images can be efficiently performed by linear filtering. This paper contains all the information, theoretical and practical, required to perform efficiently B-spline interpolation for any order and any boundary extension. We describe precisely how to evaluate the kernel and to compute the B-spline interpolator parameters. We show experimentally that increasing the order improves the interpolation quality. In conclusion, this paper provides a comprehensive overview of the role of B-spline functions in image processing, highlighting their versatility and effectiveness in addressing various challenges encountered in digital image analysis and manipulation. By leveraging the inherent properties of B-spline functions, significant advancements can be made in the field of image processing, leading to enhanced image quality, feature extraction, and image registration accuracy.

35-Article

MACHINE TRANSLATION SYSTEMS: COMPARISON OF TRANSLATION QUALITY AND USABILITY (EXAMPLE OF TECHNICAL DOCUMENTS IN THE OIL AND GAS INDUSTRY)

Nazirova E.SH., Axmedova X.X., Madetbayeva N.B.

Machine translation technologies have become an indispensable tool for overcoming language barriers in the modern world. They can instantly translate text and speech into different languages, making communication more accessible and effective. The application of these technologies covers a wide range of areas, including academic research, business communication, diplomatic relations, and medical needs. For example, researchers use machine translation to analyze language structures and improve language technologies, while companies integrate such systems into their services to better interact with customers in different languages. In educational institutions, machine translation allows students who speak different languages to have greater access to educational materials. In medicine, it facilitates the exchange of data between doctors and patients who speak different languages, improving the accuracy of diagnosis and treatment. In the field of media, machine translation is used to create subtitles, dubbing, and localize content, which allows films, TV series, and games to be distributed around the world. In turn, technology developers continue to improve machine translation, integrating it into applications and digital assistants, making them more accurate and useful. Advances in artificial intelligence and the expansion of lexical databases contribute to improving the quality of translation, making it more accurate and contextually relevant, which ultimately contributes to more effective intercultural communication and knowledge sharing.

36-Article

CNN-BASED MODELS AND ALGORITHMS FOR PLANT LEAF DISEASE DETECTION

Temirov A., Jabborov Kh., Atadjanova N., Karimov S.

When crops and trees suffer from various diseases, it is observed that it affects the grain and agricultural products of the whole country. Farmers observe with the naked eye without any definite conclusions to detect disease in plants. This method proves to be time-consuming, expensive, and sometimes even inaccurate. Artificial detection using image processing methods provides quick and accurate results. Advances in artificial intelligence, machine learning, and deep learning are expanding and improving precision crop protection practices to expand the market for deep learning software in professional agriculture. The in-depth training method of this thesis makes it easy to put the system into practice. The various steps required to implement this plant disease detection model are discussed throughout the report, from the compilation of images to create an integrated database, to the implementation of in-depth CNN training, guaranteed by agricultural experts provided online. deep learning system is used. This is a novel approach to plant disease detection using a deep convolutional neural network trained and fine-tuned to accurately match datasets of affected plant leaves collected for various plant diseases. The uniqueness of the developed model is in its operation; healthy leaves correspond to other classes, allowing the model to distinguish diseased leaves from healthy leaves or from background noise using a deep CNN. One of the important tasks is to develop a neural network system that recognizes certain types of plants infected with bacterial and infectious diseases in the agricultural system, in particular (maize) by identifying their initial symptoms. For this purpose, in this paper, we create a compilation of datasets containing leaf images on various plant images, apply and implement a CNN machine learning model from the dataset collected using TensorFlow. , the tasks of creating a classifier capable of predicting plant disease in different labels, as well as improving its prediction accuracy compared to previous models and approaches, were considered. The software complex of this system is developed and its modules are presented.

37-Article

METHODS AND TOOLS OF ORGANIZING PERSONALIZED EDUCATIONAL PROCESS USING INTELLECTUAL LMS SYSTEMS

Xamidov V.S., Mamatov A.S., Usmanov S.N.

This article analyzes the tasks and functionalities of educational management systems, and their possibilities in the implementation of personalized education are highlighted. Also, on the example of the open-source Moodle LMS, suggestions and recommendations were developed for determining the personal learning trajectory of learners and using plug-ins for implementing flexible learning for learners.

38-Article

QUASI-ONE-DIMENSIONAL MODELING OF A SINGLE-PIPE WATER HEATING SYSTEM

Xujaev I.K., Shirinov Z.Z., Begimov O.M.

Within the framework of the quasi-one-dimensional approach, a mathematical model and methods for hydraulic and thermal calculation of a single-pipe hot-water heating system with a limited number of multi-section heat exchangers have been developed. The operation of a multi-section heat exchanger has been modeled based on the hypothesis that the working fluid flows along the heat exchanger circuit, forming a two-circuit network with a main line. Formulas for nodal pressures and temperatures and arc flow rates of the heat exchanger based on the Bernoulli and Shukhov formulas have been obtained. The results of calculating a network with five heat exchangers are presented and analyzed.

39-Article

TWO APPROACHES TO SEMANTIC TAGGING OF LEXICAL UNITS FOR ALISHER NAVAI AUTHORITY CORPUS

Abjalova M., Gulomova N.

Semantic analysis of natural language data is considered important in solving many problems in a number of directions, such as natural language processing (NLP), natural language technologies (Human Language Technology - HLT). In particular, lexical units are semantically tagged to identify such phenomena as homonymy, polysemy, syncretism in the language corpora. It is precisely for this feature that corpora are used in semantic research. This article discusses the importance of tagging for language corpora, the standard tagging process, semantic tagging tools, the role of annotation, and two different approaches to semantic tagging for Alisher Navoi`s corpus.

40-Article

LINGUISTIC-MATHEMATICAL MODEL AND ALGORITHM OF FORMATION OF WORD COMBINATIONS IN THE KYRGYZ LANGUAGE BELONGING TO THE TURKISH LANGUAGE FAMILY

Uzakova M.A.

In our society, where digital technologies are developing, automatization (computerization) the field of linguistics and automatic translation between languages of the same category have become one of the important tasks. Nowadays, through the study of artificial intelligence they are also entering the fields of linguistics. Languages are the main means of communication, and people have to communicate in different languages and face some difficulties in exchanging information. Therefore, such negative barriers can be overcome with the help of electronic translators, for which languages that belong to the same family or are similar in terms of the structure of their sentences, that is, agglutinative languages translation based on the linguistic model is the main solution. The quality and accuracy of electronic translation based on linguistic models depends on how deeply natural language is studied and analyzed. In this article, a linguo-mathematical model of complex words has been developed in Kyrgyz, one of the natural languages involved in electronic translation, and an effective algorithm for dividing complex words into morphemes is presented based on this model. In addition, a summary of the relationship between Turkic languages and the origin of the Kyrgyz language is presented. Through the grammatical structure of a complex word in the Kyrgyz language, a schematic overview of the translation in the Uzbek and Karakalpak languages is presented, in which the peculiarity of the translation in the Kyrgyz language is revealed, and a corresponding definition is given. In the Kyrgyz language, a scheme of the formation of words that can appear as an example of one word has been developed. Several examples of the structure of the formation of complex words in the Kyrgyz language are presented, and the linguistic-mathematical models of these examples are also presented. It was mentioned that the lingvo-mathematical model presented above will be used later to improve electronic translation in languages belonging to the Turkic language family, and as a result, we will have a high-quality, accurate translation.

41-Article

CLASSIFICATION OF CYBERSECURITY THREATS AND MECHANISM TO PROTECT AGAINST ATTACKS

Tashev K.A., Axmedova N.F., Rustamov D.T.

The article highlights the importance of speed and flexibility of big data technologies in the modern world. Big data offers immense opportunities for real-time decision-making in business, science, and technology, optimizing processes, and increasing overall efficiency. With these technologies, large volumes of data are rapidly analyzed, accelerating the decision-making process and making it more accurate. At the same time, the article emphasizes that the development of big data technologies may increase cybersecurity threats. The classification of cybersecurity threats is crucial for developing effective defense mechanisms in this field. The article outlines three main reasons for classifying threats: first, it helps create a unified and systematic approach to threats; second, it enables a deeper understanding of these threats and the development of effective countermeasures; third, it creates opportunities for knowledge and experience sharing among users. Additionally, the article substantiates the necessity and importance of classifying cybersecurity threats throughout the lifecycle of big data. It is emphasized that such classification must be systematic, comprehensive, precise, and consistent with the terminology adopted in the industry and security field. The approach presented in the article helps in the timely identification of new threats and the development of effective countermeasures. The classification of cybersecurity threats plays a significant role in developing effective strategies to combat existing and emerging threats. Thus, the article deeply analyzes the importance of classification and systematic approaches in cybersecurity and highlights their importance in combating new threats. Furthermore, this approach facilitates the effective organization of data exchange between business and scientific communities. This allows the authors to demonstrate the potential for a deeper analysis of issues in the field of big data and propose new solutions for addressing them. The article concludes by emphasizing the importance of systematically classifying cybersecurity threats and protecting against them. Although there are classifications focused on attack methods and targets, they do not take into account the characteristics of information systems. Therefore, a systematic approach to cybersecurity is essential.

42-Article

FUNCTIONAL CAPABILITIES OF TEACHING PERSONNEL CABINET OF DISTANCE EDUCATION INFORMATION SYSTEM

Zarmasov E.M., Elov J.B., Kimsanboyev N.A.

In this article, the teaching personnel cabinet of the distance education information system provides teachers with a wide range of opportunities to manage and effectively organize lessons. Through this system, teachers can create a lesson schedule, upload lesson materials, conduct electronic tests and evaluation processes, conduct interactive conversations and webinars with students, organize personal consultations, and use statistical data and reports. All this helps to increase the efficiency of the educational process, as well as control the individual development of students.

43-Article

INVESTIGATING THE MODEL PARAMETERS OF THE KNN CLASSIFICATION ALGORITHM ON BIOPSY IMAGES FOR PROSTATE CANCER DIAGNOSIS

Nazirova E., Madolimov F., Azimjonov J.

The K-Nearest Neighbor (KNN) algorithm is a straightforward yet powerful classification method that has become integral in various artificial intelligence applications, including medical image analysis tasks such as object detection and image segmentation. Despite its simplicity, the performance of the KNN algorithm can be significantly influenced by its parameter settings. In particular, two crucial parameters— the number of neighbors (K) and the choice of distance metric— play a pivotal role in determining the accuracy of the classification outcomes. This study focuses on evaluating the impact of different values for the number of neighbors (K) and various distance metrics on the KNN algorithm’s classification accuracy. Specifically, the number of neighbors was varied from 1 to 10 to examine its effect on performance. Additionally, five distinct distance metrics were analyzed: Manhattan, Euclidean, Minkowski, Chebyshev, and Cosine distances. Each of these metrics offers a different approach to measuring the distance between data points, which can influence the classification results. The investigation revealed that the average classification accuracy across all tested configurations was approximately 65%. Among the various combinations of parameters, the highest accuracy of 68.77% was achieved with the Manhattan distance metric and 3 nearest neighbors. This configuration outperformed others, highlighting the effectiveness of combining these specific settings. In contrast, the lowest classification accuracy recorded was 59.68%, observed when using the Chebyshev distance metric with 2 nearest neighbors. These results underscore the importance of carefully selecting and tuning both the number of neighbors and the distance metric to enhance the KNN algorithm’s performance. By optimizing these parameters, the KNN algorithm can achieve better classification results, which is crucial for improving the reliability of AI-driven medical image analysis. This study provides valuable insights into parameter selection for practitioners aiming to refine the accuracy of KNN-based classification systems.

44-Article

ELECTRONIC LIBRARY AS A FORM OF LIBRARY PRESENCE IN THE INFORMATION SOCIETY

Xakimova M.Ya.

In a scientific article, an electronic library is not a competitor to a traditional library, but represents a new phenomenon in library, bibliographic and information services. The main advantage of the most modern electronic libraries is that, regardless of the location of information and its consumers, electronic information systems offer universal access to global information consumers., the electronic library is a relatively independent, promising form of library existence in the information society, and it is explained that it represents a single socio-technical complex aimed at implementing the traditional and non-traditional functions of the library on a fundamentally new technical and technological basis, including new information.

45-Article

OPTIMIZATION OF SYSTEMS OF AUTOMATIC CONTROL OF FLOTATION PROCESS

Sharifjanova N.M., Yakubov M.S., Mahamatov N.E.

The article ``Optimization of Systems of Automatic Control of Flotation Process`` delves into the critical role of automated control systems in enhancing flotation processes, which are essential in mineral processing for separating valuable minerals from ore. It discusses the challenges faced in traditional flotation operations, such as fluctuations in feed quality and operational inefficiencies, which can significantly impact recovery rates and overall productivity. The authors present a detailed overview of various optimization techniques, including model predictive control (MPC) and adaptive control systems, which dynamically adjust process parameters based on real-time feedback. By leveraging advanced algorithms and machine learning approaches, the study illustrates how these systems can anticipate changes in the process and react accordingly, leading to improved control over key variables like reagent concentrations and air supply. Through a series of simulations and case studies, the article evaluates the effectiveness of these control strategies in different operational scenarios. Results indicate substantial improvements in both recovery rates and energy efficiency, underscoring the importance of integrating automation in flotation processes. The authors emphasize that the adoption of these optimized control systems not only enhances the economic viability of operations but also contributes to sustainable practices by minimizing waste and energy consumption. In conclusion, the article advocates for a systematic implementation of advanced automatic control systems in the flotation industry. It calls for further research into the integration of emerging technologies, such as IoT and big data analytics, to create even more robust and adaptive control frameworks. Overall, the study provides valuable insights into how modern optimization techniques can transform flotation processes, leading to enhanced operational performance and resource efficiency.

46-Article

ALGORITHM FOR TRANSLATING A WORD ENTERED IN THE UZBEK LANGUAGE INTO ENGLISH

Nazirova E.SH., Usmonova K., Xolmuminov Yu.

In today`s world, the demand for translation processes between various languages is steadily increasing. This is particularly due to the rapid development of the internet and information technologies, which have created a necessity to overcome language barriers and disseminate information in multiple languages. Automating the translation processes between Uzbek and English plays a crucial role in this context. This article discusses the fundamental principles and effective algorithms for translating words entered in Uzbek into English [1]. The utilization of these algorithms enhances the accessibility of Uzbek-language information to global users and serves as a driving force for the creation of new tools applicable in language learning and linguistics.

47-Article

DEVELOPMENT OF MONITORING AND MODEL OF EMERGENCY WARNING SYSTEM

Iskandarova Sh.O., Mirkarimov A.M.

In this article, the state of the environment, the monitoring of objects and the evaluation of the characteristics of the risk of an automobile accident in the monitoring of the emergency warning system, as well as the use of expert-analytical technologies and the current technologies of mathematical modeling are considered. The experience of eliminating traffic accidents in man-made emergency situations shows that timely prediction of the occurrence of traffic accidents leads to a reduction of the consequences of emergency situations. Also, we can model the current technologies of mathematical modeling, that is, transport accidents in man-made emergency situations, using experimental methods of process modeling and numerical methods of modeling, as well as actual models and engineering calculations. In the monitoring technologies, the state of the environment, monitoring of critically important and potentially dangerous objects and evaluation of the characteristics of the risk of a motor vehicle accident, as well as the use of expert-analytical technologies and current technologies of mathematical modeling were considered. Based on modeling, when predicting the probability of the occurrence of motor vehicle accidents in man-made emergency situations, exemplary scenarios of the occurrence of these situations are created in relation to technological processes. For the considered sample scenarios of the occurrence of motor vehicle accidents in man-made emergency situations, the occurrence of motor vehicle accidents can be identified with the probability of the immediate occurrence of an emergency situation caused by a dangerous impact with communication. Calculation links for the probabilities of these events are determined by the conditions of a particular production. Information about the number of accidents in man-made emergency situations that occurred in a certain time based on the statistical analysis of the occurrence of motor vehicle accidents in emergency situations determined by man-made causes, and on the basis of modeling of the occurrence of emergency situations and in forecasting the probability of the occurrence of motor vehicle accidents in emergency situations based on statistical analysis is determined based on data usage.

48-Article

NUMERICAL SOLUTION OF NON-LINEAR PARABOLIC TYPE EQUATIONS DESCRIBING THE PROCESS OF GROUNDWATER FILTRATION

Maxmudova M.M., Ismailov Sh.R., Karabaeva X.A.

The article presents a numerical solution to a nonlinear equation of parabolic type that describes the process of groundwater filtration; the mathematical model is transformed into a dimensionless boundary value problem and solved using an implicit scheme. Nonlinear terms of the equation were solved by the finite difference method using the quasi-linearization method, which made it possible to obtain high-precision results. Based on the mathematical model developed in the article, a numerical algorithm was developed and experimental results for calculating the annual change indicators were obtained using the MatLab software package. The results of the study showed that groundwater levels depend significantly on seasonal changes. For example, if the groundwater level is high in spring and winter, a significant decrease is observed in summer. This situation confirms the need to take into account the influence of external factors (precipitation, evaporation) and climate change. This article contains current scientific news regarding the introduction of new approaches to mathematical modeling of groundwater and practical calculations. Its methods can be used as a universal solution not only in Uzbekistan, but also for other regions. In addition, the method presented in the article, taking into account modern requirements in the field of mathematical modeling and numerical methods, is widely used in solving various geological and hydrological problems, and also serves to develop scientifically based approaches to effective water resources management. These approaches are important for practical application in the fields of agriculture, ecology and water supply. In addition, this expands the possibilities of forecasting water resources in the context of climate change. The results of the article allow for an in-depth analysis of the impact of external factors and seasonal changes on groundwater. In addition, these approaches serve to develop strategies for effective water resources management, develop water level monitoring and ensure the rational use of natural resources.

49-Article

MATHEMATICAL DEVELOPMENT OF THE IMPEDANCE-SPECTROSCOPIC METHOD FOR DETERMINING THE COMPOSITION OF GROUNDWATER

Rajabov F.F., Djumanov J.Kh., Djamolov Kh.M.

This article is about finding an effective solution for determining the composition of groundwater. The spectral-impedance method proposed in the article allows creating devices for measuring all the main indicators of water quality. The proposed method, compared to currently used methods, increases the reliability of assessing the composition of groundwater based on measuring the spectral impedance of a hydrogen indicator and the ions contained in it simultaneously. Our proposed method has led to a higher accuracy of groundwater distance determination compared to currently used methods, as other methods measure directly at the water surface and do not take into account the gas temperature in the interval. In our proposed method, we also take into account the intermediate gas temperature, which increases the reliability. By using this dual measurement and taking into account the gas temperature, we eliminate the random measurement and increase the accuracy. As a result of the implementation of the above goals and objectives, the development of software for the transmission of data from the well to the control center through mobile communication systems and satellite channels, as well as the development of software for receiving and transmitting information and data processing visualization allows you to get results for use.

50-Article

COMPARATIVE ANALYSIS OF MULTI-CLASS CLASSIFICATION METHODS USING THE EXAMPLE OF THE BREAST CANCER WISCONSIN (DIAGNOSTIC) DATA SET

Ruzibayev O.

The article presents a comparative analysis of various multi-class classification methods using the Breast Cancer Wisconsin (Diagnostic) dataset as an example, which contains diagnostic information about malignant and benign breast tumors used to create models that can accurately predict the type of tumor based on the provided data. The article describes the structure of the dataset, the methodology of the experiments, and provides the results of the comparative analysis and their graphical interpretation. Particular attention is paid to the advantages and disadvantages of each method, as well as their applicability to medical diagnostics. Ensemble, linear and nonlinear classification methods, their efficiency and features are considered. The article shows that these methods work well with problems where the data are linearly separable. The results of the experiments and graphical visualizations are provided, allowing us to draw conclusions about the applicability of each method. A comparative analysis of ten classification algorithms is carried out using the Breast Cancer Wisconsin (Diagnostic) dataset as an example.

51-Article

RESTORING PUNCTUATION IN UZBEKI LANGUAGE TEXTS BASED ON TRANSFORMER MODELS

Ochilov M.M., Kholmatov O.A., Juraev D.B., Narzullaev O.O.

This research paper investigates the application of transformer-based custom tuning models for punctuation recovery in Uzbek language texts. Using the BERT and XML-RoBERTa architectures, experiments were conducted to accurately predict punctuation marks, including commas, periods, exclamation points, and question marks. The work includes the creation of a specialized database on the important aspects of Uzbek punctuation, which will help to conduct targeted research in this direction. He demonstrated the potential of transformer models in solving punctuation recovery tasks for low-resource languages such as Uzbek, and showed promising results in experiments. The article focuses on creating native tokenizers that work only for the Uzbek language. In addition, ways to improve the accuracy of the model in case of class label imbalance are discussed for restoring Uzbek punctuation and for further research. As a result of the research, the average value of the F1 score for determining whether the 4 punctuation marks in the Uzbek language and the word after the punctuation marks is uppercase or lowercase was 87.9%.

52-Article

TECHNICAL CAPABILITIES OF CHOLESTEATOMA DETECTION AND METHODS OF DISEASE DETECTION BASED ON IMAGE PROCESSING

Shukurov K.E., Atadjanova N., Temirov A.

The technical devices used for diagnosing cholesteatoma are essential in providing early, accurate, and efficient detection of the disease. These tools play a vital role in acquiring high-resolution images and ensuring rapid diagnosis. For example, computed tomography is widely utilized to detect bone erosion and structural changes in the affected area, while magnetic resonance imaging is employed to visualize soft tissues, offering a more comprehensive view of the disease’s impact on different tissues. Both of these imaging techniques are crucial for generating detailed images that assist in diagnosing cholesteatoma at an early stage. In addition to computed tomography and magnetic resonance imaging, other diagnostic tools such as otoendoscopy and ultrasound elastography are commonly used to provide a more complete assessment of the disease. Otoendoscopy allows real-time visualization of the ear’s internal structures, offering physicians a direct view of the affected areas. This helps in determining the extent of cholesteatoma and identifying any associated abnormalities. Ultrasound elastography, on the other hand, is a relatively newer technique that aids in assessing tissue stiffness and provides further information on the location and severity of the disease. Moreover, audiometry is a valuable tool in determining the impact of cholesteatoma on the patient’s hearing. By measuring hearing thresholds, audiometry helps evaluate how much the disease has affected auditory function, which is a crucial factor in treatment planning. These various diagnostic devices work together to offer a comprehensive assessment of cholesteatoma, enabling clinicians to make more informed decisions regarding treatment and management. One of the key benefits of using these high-tech diagnostic tools is their ability to provide high-resolution images, which are critical for accurately assessing the severity and extent of cholesteatoma. CT and MRI scans offer detailed images that help pinpoint the degree of bone erosion and tissue involvement, which is essential for planning appropriate surgical or medical interventions. Additionally, advancements in automated image processing technologies, particularly the use of artificial intelligence, have further improved the speed and accuracy of diagnosing cholesteatoma. By integrating AI with imaging technologies, healthcare providers can quickly analyze the data and make faster diagnoses, leading to improved patient outcomes. Recent studies have explored several AI-based methods for processing images from these diagnostic devices, with convolutional neural networks (CNN) being identified as one of the most effective machine learning algorithms for detecting cholesteatoma. The CNN model has been shown to accurately analyze medical images and assist in making precise diagnoses. As a result, CNN-based decision-making technologies have become an important tool in diagnosing cholesteatoma and optimizing treatment processes. This integration of AI not only enhances diagnostic accuracy but also speeds up the detection and treatment of cholesteatoma, ultimately improving patient care and outcomes.

53-Article

CYBER THREATS IDENTIFICATION MODEL IN THE CREATION OF IN-FORMATION SYSTEMS

Rustamov D.T.

This paper uses Microsoft SDLC, STRIDE, Common Attack Pattern Enumeration and Classification (CAPEC), and Common Weakness Enumeration (CWE) methodologies to address cybersecurity threats that arise during the development and use of information systems. However, different formalizations of cybersecurity threats require different approaches to their detection and elimination. Therefore, this paper proposes an approach to identifying cybersecurity threats by modeling them. The STRIDE methodology is used to describe security threats to distributed information systems, and an approach to modeling using sets of components and communication channels for their formalization is described. Predicates, properties, and conditions for components and communication channels involved in the development of an information system are defined, and instructions for performing the inserted specific tasks are formulated. Substitution, forgery, denial, information disclosure, denial of service, and privilege escalation are threats based on the established conditions. Formal representations of actions for the types are given. The threat modeling proposed in the article based on the STRIDE methodology allows developers and designers of information systems to identify and eliminate cybersecurity threats at the early stages of system architecture development. The article describes compliance with the requirements of the access control policy and cybersecurity of information system components when receiving and transmitting messages in the system and taking into account delay intervals. It is also indicated that the guarantee of the legitimacy of the components by the system leads to ensuring the authorization goals. Cases of violation of intervals for performing actions when eliminating denial of service threats that are relevant at present are given. The study shows the ability of system architects to clearly understand the security requirements of the information system being developed. Also, the use of this approach will allow identifying the interaction between cybersecurity requirements, threats and measures to reduce potential risks.

54-Article

THE USE OF INNOVATIVE TACTICS AND TECHNOLOGIES, AS WELL AS THE SPECIFICS OF THEIR USE IN THE TECHNICAL AND FORENSIC SUPPORT OF PRE-TRIAL PROCEEDINGS FOR CRIMES COMMITTED IN CYBERSPACE

Sabirbaeva A.B.

Currently, artificial intelligence technologies can significantly simplify many processes in various spheres of society, including in the fight against criminal encroachments, which determines the relevance of this study. The article examines the possibilities of innovative technologies, including artificial intelligence, in the course of solving and investigating crimes committed in cyberspace, and also examines some of the tools used by specialists to collect and record digital evidence. The article also discusses the use of artificial intelligence to prevent cybercrimes and predict the further criminogenic situation. The paper analyzed examples of foreign experience in using artificial intelligence to organize counteraction to criminal activity, as well as explored the possibilities of its application in law enforcement. The results obtained from the use of artificial intelligence capabilities in practice, including the activities of employees engaged in combating crimes in the field of information technology, are analyzed. As a result of the study, it was found that the main function of artificial intelligence in the law enforcement sphere is to record illegal actions. The integration of artificial intelligence into a cybersecurity system involves the use of machine learning algorithms and sophisticated methods to proactively analyze network environments and identify potential cyber threats. This technology simulates the decision-making processes used by system administrators and cybersecurity professionals, effectively eliminating vulnerabilities. Artificial intelligence-based solutions can continuously monitor the state of a computer system without human intervention. By analyzing traffic patterns, device settings, user activity, and log files, these systems can detect threats in real time or even anticipate them before they occur. This approach, implemented with the help of artificial intelligence, allows the system to take immediate action, preventing damage by intruders. The implementation of artificial intelligence-based security systems ensures smooth operation, helping to quickly collect digital evidence.