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ÐÑавила доÑожного движениÑ
2016Ðанное поÑобие ÑодеÑÐ¶Ð¸Ñ Ð¾ÑновнÑе Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾ диÑÑиплине «СпеÑиалÑÐ½Ð°Ñ Ð¿Ð¾Ð´Ð³Ð¾Ñовка». ÐÑедназнаÑено Ð´Ð»Ñ Ð¿Ð¾Ð´Ð³Ð¾Ñовки пÑеподаваÑелей военнÑÑ ÐºÐ°ÑÐµÐ´Ñ Ð¸ ÑÑÑденÑов, обÑÑаÑÑÐ¸Ñ ÑÑ Ð¿Ð¾ пÑогÑамме военной Ð ...
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РазÑабоÑка легкоÑплавного авÑомобилÑного диÑка
2019Рданной ÑабоÑе изложена ÑÑÑноÑÑÑ Ð¿Ð¾Ð´Ñ Ð¾Ð´Ð° к ÑазÑабоÑке авÑомобилÑного диÑка. ÐÑÑледование пÑиводилоÑÑ Ñ Ð¸ÑполÑзованием ANSYS APDL и Creo parametric. ÐÑполÑÐ·Ð¾Ð²Ð°Ð½Ñ Ð¿Ð¾Ð½ÑÑÐ¸Ñ Ð¼ÐµÑода конеÑнÑÑ ÑлеменÑов.
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ÐвÑомобилÑнÑй двигаÑÐµÐ»Ñ Ne = 120 кÐÑ
2019In work the automobile engine with a power of 120 kW is developed. The calculation of the working process of the engine by the method of Grinevetsky-Mazing, forces and moments arising in the elements of the engine, as well as the analysis of equilibrium and strength calculations of the crankshaft, connecting rod.
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2021
This work is devoted to the comparison of classical methods of nonlinear distortion compensation in fiber-optic communication networks with a more modern and relevant method based on deep neural networks. The comparison is made by the level of errors and the complexity of the implementation. There is also suggest ways to improve this algorithm.
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This work is devoted to the comparison of classical methods of nonlinear distortion compensation in fiber-optic communication networks with a more modern and relevant method based on deep neural networks. The comparison is made by the level of errors and the complexity of the implementation. There is also suggest ways to improve this algorithm.
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СовеÑÑенÑÑвование инвеÑÑиÑионного климаÑа Ðамбии
2016The goal of the Bachelor's thesis is to identify ways of improving the investment climate in Zambia. This has been done by analyzing statistical data. Considering the content of the investment climate of a state and its elements. Analyzing the legal framework regulating investments in the Republic of Zambia.
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ТеоÑÐ¸Ñ ÑлекÑÑомагниÑного полÑ
1998ÐоÑобие пÑедназнаÑено Ð´Ð»Ñ Ð¸ÑполÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð½Ð° лекÑиÑÑ , пÑи ÑÑении коÑоÑÑÑ Ð¾Ñновной обÑем излагаемого пÑеподаваÑелем маÑеÑиала не ÑикÑиÑÑеÑÑÑ Ð² ÑеÑÑадÑÑ ÑÑÑденÑами, а запиÑÑваÑÑÑÑ ÐÐÐЦ, кÑаÑкие ...
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2015
ÐоÑобие ÑооÑвеÑÑÑвÑÐµÑ ÑÑебованиÑм гоÑÑдаÑÑÑвеннÑÑ Ð¾Ð±ÑазоваÑелÑнÑÑ ÑÑандаÑÑов к обÑзаÑелÑÐ½Ð¾Ð¼Ñ Ð¼Ð¸Ð½Ð¸Ð¼ÑÐ¼Ñ ÑодеÑÐ¶Ð°Ð½Ð¸Ñ Ð¾Ð±ÑазоваÑелÑной пÑогÑÐ°Ð¼Ð¼Ñ Ð¿Ð¾Ð´Ð³Ð¾Ñовки ÑкономиÑÑа менеджеÑа по ÑпеÑиалÑноÑÑ ...
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ÐоÑобие ÑооÑвеÑÑÑвÑÐµÑ ÑÑебованиÑм гоÑÑдаÑÑÑвеннÑÑ Ð¾Ð±ÑазоваÑелÑнÑÑ ÑÑандаÑÑов к обÑзаÑелÑÐ½Ð¾Ð¼Ñ Ð¼Ð¸Ð½Ð¸Ð¼ÑÐ¼Ñ ÑодеÑÐ¶Ð°Ð½Ð¸Ñ Ð¾Ð±ÑазоваÑелÑной пÑогÑÐ°Ð¼Ð¼Ñ Ð¿Ð¾Ð´Ð³Ð¾Ñовки ÑкономиÑÑа менеджеÑа по ÑпеÑиалÑноÑÑ ...
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ÐлекÑÑообоÑÑдование авÑомобилей
2016Ðанное поÑобие ÑодеÑÐ¶Ð¸Ñ Ð¾ÑновнÑе Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾ диÑÑиплине «СпеÑиалÑÐ½Ð°Ñ Ð¿Ð¾Ð´Ð³Ð¾Ñовка». ÐÑедназнаÑено Ð´Ð»Ñ Ð¿Ð¾Ð´Ð³Ð¾Ñовки пÑеподаваÑелей военнÑÑ ÐºÐ°ÑÐµÐ´Ñ Ð¸ ÑÑÑденÑов, обÑÑаÑÑÐ¸Ñ ÑÑ Ð¿Ð¾ пÑогÑамме военной п
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ÐиÑпиÑно-монолиÑнÑй жилой дом
2017Рданной вÑпÑÑкной бакалавÑÑкой квалиÑикаÑионной ÑабоÑе ÑпÑоекÑиÑован киÑпиÑно-монолиÑнÑй жилой дом. РпÑоекÑе ÑазÑабоÑÐ°Ð½Ñ ÑÐ°Ð·Ð´ÐµÐ»Ñ ÑоглаÑно 87 поÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ ÐÑавиÑелÑÑÑва РФ.
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РаÑÑÐµÑ ÑлекÑÑомагниÑного полÑ. Ч. 2
1998ÐоÑобие ÑооÑвеÑÑÑвÑÐµÑ Ð³Ð¾ÑÑдаÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð¼Ñ Ð¾Ð±ÑазоваÑелÑÐ½Ð¾Ð¼Ñ ÑÑандаÑÑÑ Ð´Ð¸ÑÑÐ¸Ð¿Ð»Ð¸Ð½Ñ ÐÐ.08 "ÐлекÑÑиÑеÑкие и ÑлекÑÑоннÑе аппаÑаÑÑ" напÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑкой подгоÑовки 551300 "ÐлекÑÑоÑÐµÑ Ð½Ð¸ÐºÐ°, ÑлекÑÑомеÑ
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