Proceedings of the 5th Brazilian Technology Symposium [electronic resource] : Emerging Trends, Issues, and Challenges in the Brazilian Technology. Volume 1 / Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Reinaldo Padilha França, editors.

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Proceedings of the 5th Brazilian Technology Symposium [electronic resource] : Emerging Trends, Issues, and Challenges in the Brazilian Technology. Volume 1 / Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Reinaldo Padilha França, editors.

9783030575489 (electronic bk.)
3030575489 (electronic bk.)
9783030575472 (print)

Cham : Springer, 2021.

English

1 online resource.

10.1007/978-3-030-57548-9 doi

T173.8 .B733 2019eb

600
620

This book presents the proceedings of the 5th Edition of the Brazilian Technology Symposium (BTSym). This event brings together researchers, students and professionals from the industrial and academic sectors, seeking to create and/or strengthen links between issues of joint interest, thus promoting technology and innovation at nationwide level. The BTSym facilitates the smart integration of traditional and renewable power generation systems, distributed generation, energy storage, transmission, distribution and demand management. The areas of knowledge covered by the event are Smart Designs, Sustainability, Inclusion, Future Technologies, IoT, Architecture and Urbanism, Computer Science, Information Science, Industrial Design, Aerospace Engineering, Agricultural Engineering, Biomedical Engineering, Civil Engineering, Control and Automation Engineering, Production Engineering, Electrical Engineering, Mechanical Engineering, Naval and Oceanic Engineering, Nuclear Engineering, Chemical Engineering, Probability and Statistics.

International conference proceedings.

References-Reduction AWGN from Digital Images Using a New Local Optimal Low-Rank Approximation Method-1 Introduction-2 SVD and Low-Rank Approximation-2.1 SVD-2.2 Formulation of Low-Rank Approximation Problem-2.3 Signal Denoising Using SVD-3 The Proposed Method-3.1 Review of the Gaussian filter, High-and Low-Frequency Component and Canny Edge Detection Method-3.2 Using Training Image and Algorithm of the Proposed Method-4 The Results of Proposed Method-5 Conclusion-References.

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Smart innovation, systems, and technologies ; 201.

Print version: 9783030575472
Print version: 9783030575496
Print version: 9783030575502

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