Results 121 to 130 of about 3,139 (142)
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2019
This final qualifying work contains the results of research of the influence of the resistance of the grounding device of the transition point, the resistance of the grounding device of transmission tower and the remoteness of the source on the distribution of circuit current into the electrical system.
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This final qualifying work contains the results of research of the influence of the resistance of the grounding device of the transition point, the resistance of the grounding device of transmission tower and the remoteness of the source on the distribution of circuit current into the electrical system.
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2022
The subject of the graduate qualification work is: «Simulation model of the processes of functioning of the Western High-Speed Diameter of St. Petersburg». This work is devoted to the study of trends in the development of the Western High-Speed Diameter and the development of a simulation model in order to analyze the effectiveness of the Western ...
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The subject of the graduate qualification work is: «Simulation model of the processes of functioning of the Western High-Speed Diameter of St. Petersburg». This work is devoted to the study of trends in the development of the Western High-Speed Diameter and the development of a simulation model in order to analyze the effectiveness of the Western ...
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð¼Ð¾Ð±Ð¸Ð»Ñного пÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ GoTripMap, позволÑÑÑего полÑзоваÑÐµÐ»Ñ Ð¿Ð¾ÑÑÑоиÑÑ Ð¼Ð°ÑÑÑÑÑ Ð¿Ð¾ ÑÐ²Ð¾ÐµÐ¼Ñ Ð·Ð°Ð¿ÑоÑÑ. ÐапÑоÑÑ Ð¿Ð¾Ð»ÑзоваÑÐµÐ»Ñ Ð¼Ð¾Ð³ÑÑ ÑодеÑжаÑÑ Ð¼Ð½Ð¾Ð¶ÐµÑÑво пÑнкÑов назнаÑени
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2023
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐбоÑнование конÑÑÑÑиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð·Ð°ÑиÑного коÑÑÑма бÑÑилÑÑика на оÑнове ÑаÑÑеÑа Ñеплового ком-ÑоÑÑа». РоÑнове данной иÑÑледоваÑелÑÑкой ÑабоÑÑ Ð»ÐµÐ¶Ð¸Ñ ÑаÑÑ
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐбоÑнование конÑÑÑÑиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð·Ð°ÑиÑного коÑÑÑма бÑÑилÑÑика на оÑнове ÑаÑÑеÑа Ñеплового ком-ÑоÑÑа». РоÑнове данной иÑÑледоваÑелÑÑкой ÑабоÑÑ Ð»ÐµÐ¶Ð¸Ñ ÑаÑÑ
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2022
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «Android-пÑиложение Ð´Ð»Ñ ÑоÑмиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð·Ð°Ñвлений на диÑÑÐ¸Ð¿Ð»Ð¸Ð½Ñ Ð¿Ð¾ вÑбоÑÑ, модÑÐ»Ñ Ð¼Ð¾Ð±Ð¸Ð»ÑноÑÑи и ÑакÑлÑÑаÑивÑ».
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «Android-пÑиложение Ð´Ð»Ñ ÑоÑмиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð·Ð°Ñвлений на диÑÑÐ¸Ð¿Ð»Ð¸Ð½Ñ Ð¿Ð¾ вÑбоÑÑ, модÑÐ»Ñ Ð¼Ð¾Ð±Ð¸Ð»ÑноÑÑи и ÑакÑлÑÑаÑивÑ».
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2020
Тема вÑпÑÑкной квалиÑикаÑионнÑй ÑабоÑÑ: «ÐÑполÑзование ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ «пеÑевеÑнÑÑÑй клаÑÑ» пÑи обÑÑении ÑÑÐµÐ½Ð¸Ñ ÑÑÑденÑов многопÑоÑилÑного вÑза».
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Тема вÑпÑÑкной квалиÑикаÑионнÑй ÑабоÑÑ: «ÐÑполÑзование ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ «пеÑевеÑнÑÑÑй клаÑÑ» пÑи обÑÑении ÑÑÐµÐ½Ð¸Ñ ÑÑÑденÑов многопÑоÑилÑного вÑза».
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This work is devoted to the study of biomimetic principles and their application in the modelling of buildings and structures. The tasks that were solved in the course of the research: 1. Studying the preconditions of formation and the main known directions of biomimetic approach in architectural design. 2.
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑазÑабоÑке обÑазоваÑелÑной плаÑÑоÑмÑ, в коÑоÑой инÑоÑмаÑÐ¸Ñ Ð¾Ð± академиÑеÑкиÑ
доÑÑижениÑÑ
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ÑаниÑÑÑÑ Ð² IPFS, а ÑвÑÐ·Ñ Ð´Ð¾ÐºÑменÑа Ñ ÐµÐ³Ð¾ владелÑÑем бÑÐ´ÐµÑ Ð·Ð°ÐºÑеплена в бР...
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2019
This graduation work describes the essence of creating micron-sized gates for microwave monolithic integrated circuits and gallium nitride-based HEMT transistors using electron beam lithography. The possibilities of manufacturing minimal gates on the installation of electron-beam lithography are determined.
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This graduation work describes the essence of creating micron-sized gates for microwave monolithic integrated circuits and gallium nitride-based HEMT transistors using electron beam lithography. The possibilities of manufacturing minimal gates on the installation of electron-beam lithography are determined.
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The topic of the graduate qualification work is «Protection of network traffic from user-end app identification threats». The purpose of the study is to enhance the resilience of network traffic against privacy attacks carried out through the identification of user applications using deep learning neural networks.
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