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📣 “Ilm-fan va innovatsion rivojlanish” jurnalining 2024-yil 5-sonida Toshkent kimyo-texnologiya instituti xodimlari – t.f.d., professor Usmonov Botir Shukurillayevich, Avtomatlashtirish va raqamli boshqaruv kafedrasi mudiri Usmanov Komil Isroilovich, t.f.d., professor Artikov Asqar Asqarovich hamda Toshkent kimyo-texnologiya instituti tayanch doktoranti Rejabov Sarvar Abdurasulovich tomonidan yozilgan “Noqat’iy mantiq asosida bilvosita quyosh quritgichlarining harorat dinamikasini bashorat qilish” sarlavhali maqola chop etilmoqda.

Maqolada o‘zgaruvchan ob-havo sharoitida ishlaydigan quyosh quritgichlarida mahsulotlarni quritish jarayoni bilan bog‘liq tadqiqot yoritilgan. Tadqiqotda ushbu turdagi quritgichlarning samaradorligini aniqlash, tahlil qilish va kelgusidagi ish faoliyatini bashorat qilish uchun tizimni modellashtirish o‘rganilgan.

Modellashtirish, quritish jarayonining murakkab dinamikasini hisobga olgan holda, uni optimallashtirishga yordam beradi. Quritish kamerasidagi haroratni bashorat qilish quritish jarayonining samaradorligini oshirishda va mahsulot sifatini yaxshilashda muhim ahamiyat kasb etadi. Shu sababli quyosh quritgichida turli ob-havo sharoitlarida bir qator eksperimental tajribalarlar o‘tkazilib, uning statik va dinamik xususiyatlari o‘rganildi.

❗️Tajriba natijalari asosida Mamdani usulidan foydalanilgan holda tegishlilik funksiyalari shakllantirildi va xulosalash mexanizmi qoidalari ishlab chiqildi. Taklif etilgan Mamdani algoritm modeli orqali kelajakda quyosh quritgichlarining avtomatik rostlash tizimlarini yaratish va quritish texnologiyalarini takomillashtirish imkoniyatlari ortishi isbotlandi.


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📣 “Ilm-fan va innovatsion rivojlanish” jurnalining 2024-yil 5-sonida Toshkent kimyo-texnologiya instituti xodimlari – t.f.d., professor Usmonov Botir Shukurillayevich, Avtomatlashtirish va raqamli boshqaruv kafedrasi mudiri Usmanov Komil Isroilovich, t.f.d., professor Artikov Asqar Asqarovich hamda Toshkent kimyo-texnologiya instituti tayanch doktoranti Rejabov Sarvar Abdurasulovich tomonidan yozilgan “Noqat’iy mantiq asosida bilvosita quyosh quritgichlarining harorat dinamikasini bashorat qilish” sarlavhali maqola chop etilmoqda.

Maqolada o‘zgaruvchan ob-havo sharoitida ishlaydigan quyosh quritgichlarida mahsulotlarni quritish jarayoni bilan bog‘liq tadqiqot yoritilgan. Tadqiqotda ushbu turdagi quritgichlarning samaradorligini aniqlash, tahlil qilish va kelgusidagi ish faoliyatini bashorat qilish uchun tizimni modellashtirish o‘rganilgan.

Modellashtirish, quritish jarayonining murakkab dinamikasini hisobga olgan holda, uni optimallashtirishga yordam beradi. Quritish kamerasidagi haroratni bashorat qilish quritish jarayonining samaradorligini oshirishda va mahsulot sifatini yaxshilashda muhim ahamiyat kasb etadi. Shu sababli quyosh quritgichida turli ob-havo sharoitlarida bir qator eksperimental tajribalarlar o‘tkazilib, uning statik va dinamik xususiyatlari o‘rganildi.

❗️Tajriba natijalari asosida Mamdani usulidan foydalanilgan holda tegishlilik funksiyalari shakllantirildi va xulosalash mexanizmi qoidalari ishlab chiqildi. Taklif etilgan Mamdani algoritm modeli orqali kelajakda quyosh quritgichlarining avtomatik rostlash tizimlarini yaratish va quritish texnologiyalarini takomillashtirish imkoniyatlari ortishi isbotlandi.


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The Securities and Exchange Board of India (Sebi) had carried out a similar exercise in 2017 in a matter related to circulation of messages through WhatsApp. Russian President Vladimir Putin launched Russia's invasion of Ukraine in the early-morning hours of February 24, targeting several key cities with military strikes. The regulator said it had received information that messages containing stock tips and other investment advice with respect to selected listed companies are being widely circulated through websites and social media platforms such as Telegram, Facebook, WhatsApp and Instagram. The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. He said that since his platform does not have the capacity to check all channels, it may restrict some in Russia and Ukraine "for the duration of the conflict," but then reversed course hours later after many users complained that Telegram was an important source of information.
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