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Smart Card Applications: Design Models for Using and Programming Smart Cards

Posted By: AvaxGenius
Date: 4 Jun 2023 06:35:25
Smart Card Applications: Design Models for Using and Programming Smart Cards

Smart Card Applications: Design Models for Using and Programming Smart Cards by Wolfgang Rankl
English | PDF | 2007 | 227 Pages | ISBN : 047005882X | 1.5 MB

A practical guide to the specification, design, and programming of smart card systems for working applications.
More than 3 billion smartcards are produced every year. Generally defined as any pocket-sized card with embedded integrated circuits or chips, they have a huge number of applications including travel cards, chip and pin cards, pet tags, mobile phone SIMs and pallet trackers. Now with modern Smart Card technology such as Java Card and Basic Card it is possible for everyone to create his or her own applications on a smart card.
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Atmel AVR microcontrollers connection to any displays

Posted By: ELK1nG
Date: 29 Mar 2021 20:06:14
Atmel AVR microcontrollers connection to any displays

Atmel AVR microcontrollers connection to any displays
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 12 lectures (1h 6m) | Size: 394 MB

Connection displays to Atmel AVR microcontroller. LCD display, 7-segment display. Various connection interface, I2C
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TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

Posted By: First1
Date: 2 Jan 2020 07:26:40
TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers by Pete Warden, Daniel Situnayake
English | December 30th, 2019 | ISBN: 1492052043 | 504 pages | EPUB (True/Retail Copy) | 27.04 MB

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.
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