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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.
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
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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.
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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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.
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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About 120 years ago, James Clerk Maxwell introduced his now legendary hypothetical "demon" as a challenge to the integrity of the second law of thermodynamics. Fascination with the demon persisted throughout the development of statistical and quantum physics, information theory, and computer science--and linkages have been established between Maxwell's demon and each of these disciplines. The demon's seductive quality makes it appealing to physical scientists, engineers, computer scientists, biologists, psychologists, and historians and philosophers of science. Until now its important source material has been scattered throughout diverse journals.This book brings under one cover twenty-five reprints, including seminal works by Maxwell and William Thomson; historical reviews by Martin Klein, Edward Daub, and Peter Heimann; information theoretic contributions by Leo Szilard, Leon Brillouin, Dennis Gabor, and Jerome Rothstein; and innovations by Rolf Landauer and Charles Bennett illustrating linkages with the limits of computation. An introductory chapter summarizes the demon's life, from Maxwell's illustration of the second law's statistical nature to the most recent "exorcism" of the demon based on a need periodically to erase its memory. An annotated chronological bibliography is included.Originally published in 1990.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Thermodynamics. --- Chemistry, Physical and theoretical --- Dynamics --- Mechanics --- Physics --- Heat --- Heat-engines --- Quantum theory --- Maxwell's demon. --- Adiabatic process. --- Automaton. --- Available energy (particle collision). --- Billiard-ball computer. --- Black hole information paradox. --- Black hole thermodynamics. --- Black-body radiation. --- Boltzmann's entropy formula. --- Boyle's law. --- Calculation. --- Carnot's theorem (thermodynamics). --- Catalysis. --- Chaos theory. --- Computation. --- Copying. --- Creation and annihilation operators. --- Digital physics. --- Dissipation. --- Distribution law. --- Domain wall. --- EPR paradox. --- Energy level. --- Entropy of mixing. --- Entropy. --- Exchange interaction. --- Expectation value (quantum mechanics). --- Extrapolation. --- Fair coin. --- Fermi–Dirac statistics. --- Gibbs free energy. --- Gibbs paradox. --- Guessing. --- Halting problem. --- Hamiltonian mechanics. --- Heat engine. --- Heat. --- Helmholtz free energy. --- Ideal gas. --- Idealization. --- Information theory. --- Instant. --- Internal energy. --- Irreversible process. --- James Prescott Joule. --- Johnson–Nyquist noise. --- Kinetic theory of gases. --- Laws of thermodynamics. --- Least squares. --- Loschmidt's paradox. --- Ludwig Boltzmann. --- Maxwell–Boltzmann distribution. --- Mean free path. --- Measurement. --- Mechanical equivalent of heat. --- Microscopic reversibility. --- Molecule. --- Negative temperature. --- Negentropy. --- Newton's law of universal gravitation. --- Nitrous oxide. --- Non-equilibrium thermodynamics. --- Old quantum theory. --- Particle in a box. --- Perpetual motion. --- Photon. --- Probability. --- Quantity. --- Quantum limit. --- Quantum mechanics. --- Rectangular potential barrier. --- Result. --- Reversible computing. --- Reversible process (thermodynamics). --- Richard Feynman. --- Rolf Landauer. --- Rudolf Clausius. --- Scattering. --- Schrödinger equation. --- Second law of thermodynamics. --- Self-information. --- Spontaneous process. --- Standard state. --- Statistical mechanics. --- Superselection. --- Temperature. --- Theory of heat. --- Theory. --- Thermally isolated system. --- Thermodynamic equilibrium. --- Thermodynamic system. --- Thought experiment. --- Turing machine. --- Ultimate fate of the universe. --- Uncertainty principle. --- Unitarity (physics). --- Van der Waals force. --- Wave function collapse. --- Work output.
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