OJS Tashkent State University of Economics
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PAXTA G‘ARAMLARI HARORAT VA NAMLIGINI O‘LCHASH QURILMASI VA MASOFADAN MONITORING QILISHNING PROTEUS DASTURIDA MODELLASHTIRISH, FIZIK MODELINI ISHLAB CHIQISH
No full textMaqolada paxta gʻaramlarining yong‘inga xavfli ko‘rsatkichlarini nazorat qiluvchi qurilma Proteus dasturida modellashtirildi. Ushbu qurilma dasturiy muhitda simulyatsiya qilinib, olingan natijalari tahlil etilgan. Proteus dasturiy muhitdagi modellashtirish asosida qurilmaning fizik model ishlab chiqilgan. Ishlab chiqilgan paxta gʻaramlarining yong‘inga xavfli ko‘rsatkichlarini nazorat qiluvchi qurilma tavsiflari keltirilgan. Qurilma paxtani uzoq muddat yaxshi va sifatli saqlashni to‘g‘ri tashkil etish uchun yong‘inga xavfli ko‘rsatkichlarini (harorat va namligini) doimiy o‘lchash hamda nazorat qilib borishda foydalaniladi. Qurilma paxta xomashyosi sifatiga salbiy ta’sirlarni kamaytirish hamda yong‘in xavfining oldini olish imkоnini beradi
FERMA BINOLARIDA QORAMOLLAR HARAKAT TARTIBI ORQALI ULARNING SALOMATLIK OMILLAR VA ODATLARINI TAHLIL QILISH MASALASI
No full textMazkur maqolada qoramol kasalliklarini aniqlashda ularning faollik parametrlarini inobatga olish va bu faollik ko’rsatkichlari orqali ularning salomatliga ta’sir qiluvchi omillar va odatlarini tahlil qilish masalasi qaraladi
ON APPROACH TO EVALUATE THE WORKFLOW FUNCTIONALITIES IN PROCESS-BASED INFORMATION SYSTEM DEVELOPMENT
No full textThe study addresses the need for flexible, scalable systems capable of adapting to dynamic market demands. Business Process Management Systems (BPMS) are considered as the key technology for optimizing workflows through process automation, coordination, and real-time monitoring. The Semiotic Interoperability Evaluation Framework (SIEF) is introduced to assess interoperability at technical, formal, and informal levels, identifying key issues and the need for organizational standards. Process-Based Information System (PBIS) provides robust infrastructure, enhancing process management, flexibility, and overall organizational efficiency while authors present an approach to evaluate the workflow functionalities using the Design Science Research (DSR) methodology
IMPORTANCE OF DIGITAL TECHNOLOGIES IN MEASUREMENT OF KIDNEY FUNCTION
No full textNon‐adherence to medications is a critical challenge in the management of people with chronic kidney disease (CKD). This review explores the complexities of adherence in this population, the unique barriers and enablers of good adherence behaviours, and the role of emerging digital health technologies in bridging the gap between evidence‐based treatment plans and the real‐world standard of care
POSSIBILITIES OF APPLYING INTELLIGENT TECHNOLOGIES IN PRODUCTION AUTOMATION
No full textThis paper examines the potential for using intelligent technologies in technological processes. These technologies are widely used in electric power organizations to automate production management. The main objective of this study is to analyze the main development trends and study the Smart Grid concept, as well as determine the potential for its implementation based on the goals and needs of key stakeholders in different industries
PREDICTION OF EJECTION FRACTION OF LEFT VENTRICLE IN PATIENTS WITH TYPE 2 DIABETES MELLITUS ON EMPAGLIFLOZIN: A SIX-MONTH ASSESSMENT
No full textDiabetes mellitus type 2 (T2DM) is a growing global health concern, often leading to cardiovascular complications, including left ventricular dysfunction. Predicting left ventricular ejection fraction (LVEF) can be crucial for early intervention and management. Empagliflozin, a sodium-glucose cotransporter 2 (SGLT2) inhibitor, has garnered attention for its efficacy in managing type 2 diabetes mellitus (T2DM) and its potential cardiovascular benefits. This study aims to identify significant predictors of LVEF in T2DM patients treated with Empagliflozin after six months of therapy. We aim to identify outcomes related to cardiac function and the predictive factors influencing LVEF changes during this treatment phase. We applied a systematic feature selection approach through generalized linear models (GLM) to build a predictive model based on a cohort of 130 patients
SANOAT TARMOQLARINI AVTOMATLASHTIRISHDA SUN‘IY INTELLEKTNI JORIY ETISH
No full textMaqolada sun\u27iy intellektni turli sohalarda qo\u27llash va qo\u27llash tahlil qilinadi sanoat tarmoqlari ishlab chiqarish jarayonlari, sun\u27iy intellektni qo\u27llash sohalari, sun\u27iy intellektdan foydalanishning maqsadga muvofiqligi, foydalanishning afzalliklari va kamchiliklari sun\u27iy intellekt, sun\u27iy intellektni amalga oshirish bosqichlari va samaradorligini baholash, ishlab chiqarish jarayonlarini optimallashtirish va samaradorlik va raqobatbardoshlikni oshirish sun\u27iy intellekt bilan ishlaydigan kompaniyalar, sun\u27iy intellektni qabul qilishning ta\u27siri inson mehnati
ANSAMBL USULI YORDAMIDA MULTITIPLI MA\u27LUMOTLARNI QAYTA ISHLASH
No full textMa\u27lumotlarni yig’ish - bu mashinani o\u27rganish, statistika va ma\u27lumotlar bazasi tizimlarining kesishmasidagi usullarni o\u27z ichiga olgan katta ma\u27lumotlar to\u27plamlarida bog’liqlikni aniqlash jarayonidir. Bunday ma\u27lumotlarning soni va murakkabligi oshgani sayin, ma\u27lumotlarni tahlil qilishdagi qiyinchiliklar ham ortadi. Ma\u27lumotlarni yig’ish turlari bilan bog\u27liq asosiy muammolardan ba\u27zilari ko\u27plab ma\u27lumotlar bazalarining juda katta hajmi, ma\u27lumotlarning juda murakkabligi va natijalarni ifodalashdagi qiyinchiliklar, shu jumladan natijalarni yaratish uchun zarur bo\u27lgan vaqt hisoblanadi[1]. Ma\u27lumotlarni amaliy qo\u27llash natijalari odatda murakkab hisoblanadi[2,3]. Shu sababli, hozirgi vaqtda ma\u27lumotlar yig’ishning zamonaviy va an\u27anaviy yondashuvlarini qayta ko\u27rib chiqish, bugungi kun muammolariga yechim topish masalalari muhim hisoblanadi
ONLINE BUYURTMA QILISHDA CHATBOTLAR VA YETKAZIB BERISH XIZMATLARIDAN FOYDALANISH VA UNING AFZALLIKLARI
No full textZamonaviy texnologiyalarning rivojlanishi bilan sun’iy intellekt (SI) ko‘plab sohalarda, jumladan online buyurtma tizimlarida tobora muhim rol o‘ynay boshladi. Online savdo platformalarida sun’iy intellektning chatbotlar va yetkazib berish xizmatlarini integratsiya qilish yordamida mijozlarga yanada shaxsiylashtirilgan xizmat ko‘rsatish, tez va samarali buyurtma jarayonlarini taqdim etish ta’minlanadi. Ushbu maqola online buyurtma tizimlarida sun’iy intellektdan foydalanishning bir qancha yo‘nalishlari va ularning afzalliklarini ko‘rib chiqadi
OPTIMIZATION OF FUZZY INFERENCE SYSTEMS WITH GENETIC ALGORITHMS
No full textThis paper explores the optimization of Fuzzy Inference Systems (FIS) using Genetic Algorithms (GAs) to enhance accuracy, efficiency, and decision-making processes. FIS, widely used for handling uncertain and imprecise data, can benefit significantly from the adaptive capabilities of GAs, which mimic natural selection to search for optimal solutions in complex, multi-modal problem spaces. The integration of GAs with FIS allows for the systematic fine-tuning of parameters such as membership functions, rule bases, and fuzzy operators, leading to improved system performance. This study demonstrates that GA-optimized FIS not only achieve greater accuracy but also offer robust and reliable models for real- world applications across fields such as engineering, medicine, and finance. The paper highlights key optimization techniques, including selection, crossover, and mutation, and compares GA-optimized systems with traditional methods, showcasing the superior performance of GAs in terms of accuracy, computational efficiency, and scalability. Additionally, the research suggests that future improvements can be realized through hybrid optimization approaches and the use of parallel computing techniques. These strategies promise to further enhance the capabilities of FIS, making them more efficient and adaptable to increasingly complex decision-making tasks