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This book highlights the innovative applications of
electromagnetics, optics, thermodynamics theories in creating
methods for physical-layer collision prevention- "physical
anti-collision" in radio frequency identification (RFID) systems.
Using engineering mathematical methods as the core of detection and
control algorithm design, it proposes semi-physical verification
and detection techniques to the dynamic performance testing in RFID
systems. The book also introduces the methods to build
semi-physical hardware platforms using photoelectric sensing
technology. The book provides valuable ideas to the applications of
Internet of Things (IOT) systems in smart logistics, car
networking, food traceability, anti-counterfeiting and other
livelihood fields. It is worth reading for all researchers in IOT
and optoelectronic engineering related industries.
This book combines semi-physical simulation technology with an
Internet of Things (IOT) application system based on novel
mathematical methods such as the Fisher matrix, artificial neural
networks, thermodynamic analysis, support vector machines, and
image processing algorithms. The dynamic testing and semi-physical
verification of the theory and application were conducted for
typical IOT systems such as RFID systems, Internet of Vehicles
systems, and two-dimensional barcode recognition systems. The
findings presented are of great scientific significance and have
wide application potential for solving bottlenecks in the
development of RFID technology and IOT engineering. The book is a
valuable resource for postgraduate students in fields such as
computer science and technology, control science and engineering,
and information science. Moreover, it is a useful reference
resource for researchers in IOT and RFID-related industries,
logistics practitioners, and system integrators.
This book highlights the innovative applications of
electromagnetics, optics, thermodynamics theories in creating
methods for physical-layer collision prevention- "physical
anti-collision" in radio frequency identification (RFID) systems.
Using engineering mathematical methods as the core of detection and
control algorithm design, it proposes semi-physical verification
and detection techniques to the dynamic performance testing in RFID
systems. The book also introduces the methods to build
semi-physical hardware platforms using photoelectric sensing
technology. The book provides valuable ideas to the applications of
Internet of Things (IOT) systems in smart logistics, car
networking, food traceability, anti-counterfeiting and other
livelihood fields. It is worth reading for all researchers in IOT
and optoelectronic engineering related industries.
This book combines semi-physical simulation technology with an
Internet of Things (IOT) application system based on novel
mathematical methods such as the Fisher matrix, artificial neural
networks, thermodynamic analysis, support vector machines, and
image processing algorithms. The dynamic testing and semi-physical
verification of the theory and application were conducted for
typical IOT systems such as RFID systems, Internet of Vehicles
systems, and two-dimensional barcode recognition systems. The
findings presented are of great scientific significance and have
wide application potential for solving bottlenecks in the
development of RFID technology and IOT engineering. The book is a
valuable resource for postgraduate students in fields such as
computer science and technology, control science and engineering,
and information science. Moreover, it is a useful reference
resource for researchers in IOT and RFID-related industries,
logistics practitioners, and system integrators.
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