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2022 (4)

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Integrated Circuits and Systems for Smart Sensory Applications
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ISBN: 3036532641 303653265X Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Book
Integrated Circuits and Systems for Smart Sensory Applications
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

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.

Keywords

Technology: general issues --- History of engineering & technology --- wake-up receiver --- digital controller --- reliability --- electronic toll collection (ETC) system --- dedicated short range communication (DSRC) --- temperature compensation --- piezoresistive --- pressure sensor --- negative temperature coefficient --- ACE-Q100 --- CMOS --- epilepsy --- seizure --- multichannel neural recording --- feature extraction --- closed-loop neurostimulator --- low-power --- low-noise amplifier --- implantable medical device --- switched capacitor --- voltage converter --- wide load range --- 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


Book
Integrated Circuits and Systems for Smart Sensory Applications
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.


Book
Integrated Circuits and Systems for Smart Sensory Applications
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

Keywords

Technology: general issues --- History of engineering & technology --- wake-up receiver --- digital controller --- reliability --- electronic toll collection (ETC) system --- dedicated short range communication (DSRC) --- temperature compensation --- piezoresistive --- pressure sensor --- negative temperature coefficient --- ACE-Q100 --- CMOS --- epilepsy --- seizure --- multichannel neural recording --- feature extraction --- closed-loop neurostimulator --- low-power --- low-noise amplifier --- implantable medical device --- switched capacitor --- voltage converter --- wide load range --- 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 --- wake-up receiver --- digital controller --- reliability --- electronic toll collection (ETC) system --- dedicated short range communication (DSRC) --- temperature compensation --- piezoresistive --- pressure sensor --- negative temperature coefficient --- ACE-Q100 --- CMOS --- epilepsy --- seizure --- multichannel neural recording --- feature extraction --- closed-loop neurostimulator --- low-power --- low-noise amplifier --- implantable medical device --- switched capacitor --- voltage converter --- wide load range --- 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

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