Integrated Circuits and Systems for Smart Sensory Applications
Serra-Graells, Francesc
Integrated Circuits and Systems for Smart Sensory Applications - Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 - 1 electronic resource (206 p.)
Open Access
Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware.
Creative Commons
English
9783036532646 9783036532653
Искусственный интеллект
multiphase operation variable frequency integrated circuits EEPROM reprogrammable fuses memory cells trimming techniques with fuses digital temperature sensor temperature sensor with digital serial interface asynchronous control logic successive approximation register (SAR) wireless access in vehicular environments (WAVE) low power consumption capacitive digital to analog converter (CDAC) CMOS neural amplifier AC coupling pseudoresistor nonlinear distortion area-efficient design sensor node power mode wireless sensor networks power management spiking neural network leaky integrate and fire neuromorphic artificial neural networks artificial intelligence image classification capacitance-to-digital converter iterative-delay-chain discharge CMOS capacitive sensor interface
004
Integrated Circuits and Systems for Smart Sensory Applications - Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 - 1 electronic resource (206 p.)
Open Access
Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware.
Creative Commons
English
9783036532646 9783036532653
Искусственный интеллект
multiphase operation variable frequency integrated circuits EEPROM reprogrammable fuses memory cells trimming techniques with fuses digital temperature sensor temperature sensor with digital serial interface asynchronous control logic successive approximation register (SAR) wireless access in vehicular environments (WAVE) low power consumption capacitive digital to analog converter (CDAC) CMOS neural amplifier AC coupling pseudoresistor nonlinear distortion area-efficient design sensor node power mode wireless sensor networks power management spiking neural network leaky integrate and fire neuromorphic artificial neural networks artificial intelligence image classification capacitance-to-digital converter iterative-delay-chain discharge CMOS capacitive sensor interface
004