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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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?

Оценка качества радиопокрытия сети NB-IoT в жилом комплексе для управления умными устройствами

Автоматизация в промышленности. 2025. № 1. С. 22–25.
Мартынов С. В., Осовский А. В., Кутузов Д. В., Stukach O.

Приведена оценка качества радиопокрытия сети Narrow Band Internet of Things (NB-IoT) на примере телекоммуникационной
компании «Мобильные ТелеСистемы», действующего в г. Астрахани. Качество оценивалось относительно уровня
принимаемого пилотного сигнала (Received Signal Code Power, RSRP). Представлены результаты измерений с помощью
устройства NB-IоT TESTER RB-NBT1. Измерения проводились в местах установки интеллектуальных счётчиков
коммунальных ресурсов в новом жилом доме ЖК «Прогресс» со второго по 18 этаж. Это позволяет провести эмуляцию
сценария использования «умных» счётчиков, работающих на базе технологии NB-IoT. Получены уравнения
логарифмической аппроксимации, уравнения кубической полиномиальной аппроксимации и кусочно-линейной
интерполяции данных измерения параметра RSRP в зависимости от этажности здания, что позволяет оценить качество
обслуживания и качество управления. Погрешность аппроксимации RSRP ≤10 дБм, что достаточно для практических
приложений

Research target: Engineering and Technology Electronics and Electrical Engineering
Language: Russian
Full text
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Keywords: signal powerмощность сигнала
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