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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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IV International Scientific and Technical Conference "Mechanical Science and Technology Update" (MSTU-2020) 17-19 March, 2020, Omsk, Russian Federation

IOP Publishing, 2020.

Fiber-optic sensors are becoming wide spreading in many fields due to a lot of advantages such as high spatial resolution, small size, immunity to the electromagnetic disturbances and possibility of multiplexing. Many benefits are fundamentally unattainable for electrical sensors by the physical operation principles. The processing of signals received from the optical fiber temperature sensor is considered. Raman sensor provides high spatial resolution. The main problem of signal processing for the temperature calculating is a large noise arising from the low level of current received from opto-converter. A method for estimating the additive noise level is presented based on calculation of the standard deviation. Comments concern the multiplicative noise during the rise and fall of the signal are given. Possibilities of guaranteed identification of DTS signals based on experimental measurement of statistical characteristics and representation it as so-called potential characteristic is evaluated. The signal-to-noise ratio may be increased by averaging the potential characteristics.

Chapters
Make invisible visible: to the guaranteed signal averaging for the distributed fiber sensor
Stukach O., , in: IV International Scientific and Technical Conference "Mechanical Science and Technology Update" (MSTU-2020) 17-19 March, 2020, Omsk, Russian Federation.: IOP Publishing, 2020. P. 1–9.
Fiber-optic sensors are becoming wide spreading in many fields due to a lot of advantages such as high spatial resolution, small size, immunity to the electromagnetic disturbances and possibility of multiplexing. Many benefits are fundamentally unattainable for electrical sensors by the physical operation principles. The processing of signals received from the optical fiber temperature sensor ...
Added: November 17, 2020
Priority areas: engineering science
Language: English
Sample Chapter
Full text
DOI
Keywords: Laser Optics
IV International Scientific and Technical Conference "Mechanical Science and Technology Update" (MSTU-2020) 17-19 March, 2020, Omsk, Russian Federation
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