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Autor(en): 
  • David Prince
  • Prince Betty
  • Memories for the Intelligent Internet of Things 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    circuits for internet of things / cmos compatible IoT memory / complementary metal oxide semiconductor / complementary metal oxide semiconductor complimentary memory technology / Electronic devices & materials / Electronic devices and materials / FeRAM IoT memory / intelligent internet of thing devices
    ISBN:  9781119296355 
    EAN-Code: 
    9781119296355 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 163 mm / D 20 mm 
    Gewicht:  658 gr 
    Seiten:  344 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    A detailed, practical review of state-of-the-art implementations of memory in IoT hardware

    As the Internet of Things (IoT) technology continues to evolve and become increasingly common across an array of specialized and consumer product applications, the demand on engineers to design new generations of flexible, low-cost, low power embedded memories into IoT hardware becomes ever greater. This book helps them meet that demand. Coauthored by a leading international expert and multiple patent holder, this book gets engineers up to speed on state-of-the-art implementations of memory in IoT hardware.

    Memories for the Intelligent Internet of Things covers an array of common and cutting-edge IoT embedded memory implementations. Ultra-low-power memories for IoT devices, including plastic and polymer circuitry for specialized applications, such as medical electronics, are described. The authors explore microcontrollers with embedded memory used for smart control of a multitude of Internet devices. They also consider neuromorphic memories made in Ferroelectric RAM (FeRAM), Resistive RAM (RRAM), and Magnetic RAM (MRAM) technologies to implement artificial intelligence (AI) for the collection, processing, and presentation of large quantities of data generated by IoT hardware. Throughout, the focus is on memory technologies which are complementary metal oxide semiconductor (CMOS) compatible, including embedded floating gate and charge trapping EEPROM/Flash along with FeRAMS, FeFETs, MRAMs and RRAMs.

    • Provides a timely, highly practical look at state-of-the-art IoT memory implementations for an array of product applications
    • Synthesizes basic science with original analysis of memory technologies for Internet of Things (IoT) based on the authors' extensive experience in the field
    • Focuses on practical and timely applications throughout
    • Features numerous illustrations, tables, application requirements, and photographs
    • Considers memory related security issues in IoT devices

    Memories for the Intelligent Internet of Things is a valuable working resource for electrical engineers and engineering managers working in the electronics system and semiconductor industries. It is also an indispensable reference/text for graduate and advanced undergraduate students interested in the latest developments in integrated circuit devices and systems.

      



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