Results 121 to 130 of about 951 (149)
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2019
ÐбÑекÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑÑÑÑÑ Ð¼Ð¸ÑовÑе кÑизиÑÑ Ð·Ð° поÑледние 20 леÑ. ЦелÑÑ Ð²ÑпÑÑÐºÐ½Ð¾Ð¹Ì ÐºÐ²Ð°Ð»Ð¸ÑикаÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹Ì ÑабоÑÑ ÑвлÑеÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð· взаимоÑвÑзей миÑовÑÑ ÑÑнков (ÑондовÑÑ , валÑÑнÑÑ Ð¸ дÑагоÑеннÑÑ ...
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ÐбÑекÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑÑÑÑÑ Ð¼Ð¸ÑовÑе кÑизиÑÑ Ð·Ð° поÑледние 20 леÑ. ЦелÑÑ Ð²ÑпÑÑÐºÐ½Ð¾Ð¹Ì ÐºÐ²Ð°Ð»Ð¸ÑикаÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹Ì ÑабоÑÑ ÑвлÑеÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð· взаимоÑвÑзей миÑовÑÑ ÑÑнков (ÑондовÑÑ , валÑÑнÑÑ Ð¸ дÑагоÑеннÑÑ ...
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2019
The object of research is China's economy. The goal and main tasks are to justify the application of mathematical models in solving logistics problems. Тhe analysis of the development of China's economy at the current stage is made, the use of methods of economic and mathematical modeling for making optimal management decisions is justified, an ...
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The object of research is China's economy. The goal and main tasks are to justify the application of mathematical models in solving logistics problems. Тhe analysis of the development of China's economy at the current stage is made, the use of methods of economic and mathematical modeling for making optimal management decisions is justified, an ...
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2019
The work is devoted to the development of methods for ensuring the quality of internal threads in glass-reinforced plastics and increasing the productivity of this operation by optimizing cutting conditions. In work features and problems peculiar at processing such extremely strong reinforced plastics as fiberglass are considered and ways of their ...
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The work is devoted to the development of methods for ensuring the quality of internal threads in glass-reinforced plastics and increasing the productivity of this operation by optimizing cutting conditions. In work features and problems peculiar at processing such extremely strong reinforced plastics as fiberglass are considered and ways of their ...
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2021
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена опиÑÐ°Ð½Ð¸Ñ Ð»Ð¸Ð½Ð³Ð²Ð¸ÑÑиÑеÑкой ÑеÑминологии в ÑовÑеменном ÑÑÑÑком ÑзÑке на Ñоне киÑайÑкого ÑзÑка. ÐпиÑание ÑлÑÐ¶Ð¸Ñ Ð¾Ñновой Ð´Ð»Ñ ÑазÑабоÑки ÑÑебного ÑÑÑÑко-киÑайÑкого ÑловаÑÑ
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена опиÑÐ°Ð½Ð¸Ñ Ð»Ð¸Ð½Ð³Ð²Ð¸ÑÑиÑеÑкой ÑеÑминологии в ÑовÑеменном ÑÑÑÑком ÑзÑке на Ñоне киÑайÑкого ÑзÑка. ÐпиÑание ÑлÑÐ¶Ð¸Ñ Ð¾Ñновой Ð´Ð»Ñ ÑазÑабоÑки ÑÑебного ÑÑÑÑко-киÑайÑкого ÑловаÑÑ
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2021
ÐÑоведен анализ наÑÑно-ÑÐµÑ Ð½Ð¸ÑеÑкой лиÑеÑаÑÑÑÑ Ð¿Ð¾ иÑÑледÑемой Ñеме, на оÑнове коÑоÑого обоÑнована акÑÑалÑноÑÑÑ ÑабоÑÑ Ð¸ пÑоведен ÑÑавниÑелÑнÑй анализ, а Ñакже изÑÑено влиÑние ÑаÑÑÑоÑÐ½Ð¸Ñ Ð½Ð°Ð¿Ñл
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ÐÑоведен анализ наÑÑно-ÑÐµÑ Ð½Ð¸ÑеÑкой лиÑеÑаÑÑÑÑ Ð¿Ð¾ иÑÑледÑемой Ñеме, на оÑнове коÑоÑого обоÑнована акÑÑалÑноÑÑÑ ÑабоÑÑ Ð¸ пÑоведен ÑÑавниÑелÑнÑй анализ, а Ñакже изÑÑено влиÑние ÑаÑÑÑоÑÐ½Ð¸Ñ Ð½Ð°Ð¿Ñл
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2018
Ð ÑабоÑе пÑоведено иÑÑледование миÑопоÑÑики, Ñимволизма в Ñомане «ÐовелиÑÐµÐ»Ñ Ð¼ÑÑ Â» УилÑÑма Ðолдинга. Ð¦ÐµÐ»Ñ ÑабоÑÑ - вÑÑвление оÑобенноÑÑей Ñимволизма и аллегоÑии в Ñомане, ÑаÑкÑÑÑие идеи авÑоÑа,
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Ð ÑабоÑе пÑоведено иÑÑледование миÑопоÑÑики, Ñимволизма в Ñомане «ÐовелиÑÐµÐ»Ñ Ð¼ÑÑ Â» УилÑÑма Ðолдинга. Ð¦ÐµÐ»Ñ ÑабоÑÑ - вÑÑвление оÑобенноÑÑей Ñимволизма и аллегоÑии в Ñомане, ÑаÑкÑÑÑие идеи авÑоÑа,
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2020
ÐÐ°Ð½Ð½Ð°Ñ Ð²ÑпÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑикаÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена поÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸, коÑоÑÐ°Ñ Ð±Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ð»Ð° опÑеделиÑÑ ÑÐ°Ð·Ð¼ÐµÑ Ð²ÐºÐ»ÑÑений γ'-ÑазÑ, вÑпадаÑÑей в пеÑеÑÑÑенном ÑвÑÑдом ÑаÑÑвоÑе в пÑоÑеÑÑе пÑÑмого ...
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ÐÐ°Ð½Ð½Ð°Ñ Ð²ÑпÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑикаÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена поÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸, коÑоÑÐ°Ñ Ð±Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ð»Ð° опÑеделиÑÑ ÑÐ°Ð·Ð¼ÐµÑ Ð²ÐºÐ»ÑÑений γ'-ÑазÑ, вÑпадаÑÑей в пеÑеÑÑÑенном ÑвÑÑдом ÑаÑÑвоÑе в пÑоÑеÑÑе пÑÑмого ...
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2018
Рданной ÑабоÑе Ð¸Ð·Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¾ÑновнÑе понÑÑиÑ, каÑаÑÑиеÑÑ Ð¼ÐµÑодов диагноÑÑики ÑлекÑÑоÑÐµÑ Ð½Ð¸ÑеÑкого обоÑÑдованиÑ, клаÑÑиÑикаÑÐ¸Ñ ÑÑÐ¸Ñ Ð¼ÐµÑодов и опÑеделÑемÑÑ Ð¸Ð¼Ð¸ деÑекÑов.
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Рданной ÑабоÑе Ð¸Ð·Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¾ÑновнÑе понÑÑиÑ, каÑаÑÑиеÑÑ Ð¼ÐµÑодов диагноÑÑики ÑлекÑÑоÑÐµÑ Ð½Ð¸ÑеÑкого обоÑÑдованиÑ, клаÑÑиÑикаÑÐ¸Ñ ÑÑÐ¸Ñ Ð¼ÐµÑодов и опÑеделÑемÑÑ Ð¸Ð¼Ð¸ деÑекÑов.
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2023
The given work is devoted to analysis of decoding algorithm complexity by method of ordered statistics at its realization on FPGA. As a result of analysis of hardware complexity of decoding algorithm of block codes by method of ordered statistics it was defined, that the main complexity consists of matrix systematization and multiple reencoding.
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The given work is devoted to analysis of decoding algorithm complexity by method of ordered statistics at its realization on FPGA. As a result of analysis of hardware complexity of decoding algorithm of block codes by method of ordered statistics it was defined, that the main complexity consists of matrix systematization and multiple reencoding.
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The object of study are first-order Reed-Muller codes. The goal of the work is to implement a pipeline decoder of first-order Reed-Muller codes with soft input and soft or list output in FPGA to improve the performance of (D)GLDPC and polar codes decoders. During the final qualification work, the architecture of decoder of first-order Reed-Muller codes
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