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The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), which is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional IoT. The WIoT is characterized by the dynamic interaction of traditional infrastructure-side devices, e.g., sensors and actuators, provided by municipalities in Smart City infrastructures, and other portable and more opportunistic ones, such as mobile smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment. A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. The book presents state-of-the-art contributions in the articulated WIoT area by providing novel insights about the development and adoption of middleware solutions to enable the WIoT vision in a wide spectrum of heterogeneous scenarios, ranging from industrial environments to educational devices. The presented solutions provide readers with differentiated point of views, by demonstrating how the WIoT vision can be applied to several aspects of our daily life in a pervasive manner.

container --- fog computing --- virtual reality --- privacy and security --- software defined infrastructure --- intelligent medical service --- very long instruction word (VLIW) --- semantics --- privacy leakage detection --- context information --- post-copy --- ontology --- body area network --- DSP --- Internet-of-Things --- Mobile Device Management --- interoperability --- Android --- water consumption --- Processing-in-Memory --- performance analysis --- semantic --- mobility --- data management --- CRIU --- training simulator --- Industry 4.0 --- sensor networks --- experimental evaluation --- programming paradigm --- pre-copy --- microservice-oriented platform --- CubeSats --- middleware --- registry --- smart metering --- big data analytics --- nanosatellites --- medium access control --- Internet of Things --- heterogeneity --- web-of-things --- one-to-one computing educational program --- Web-of-Things --- internet of things --- instruction set extension --- microservices architecture --- migration --- behaviour --- wireless access networks

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The increasing demand of processing a higher number of applications and related data on computing platforms has resulted in reliance on multi-/many-core chips as they facilitate parallel processing. However, there is a desire for these platforms to be energy-efficient and reliable, and they need to perform secure computations for the interest of the whole community. This book provides perspectives on the aforementioned aspects from leading researchers in terms of state-of-the-art contributions and upcoming trends.

Technology: general issues --- embedded computer systems --- cyber security --- system-level design and design-space exploration --- multi-objective optimization --- system trade-offs --- energy-efficient computing --- run-time management --- machine learning --- concurrent workloads --- multi-core systems --- processing-in-memory --- near-memory processing --- resource management --- code annotation --- compiler optimizations --- online heuristics --- energy efficiency --- 3D-stacked memories --- non-volatile memories --- peak-power management --- many-core --- directed acyclic task graphs --- high performance computing --- data centers --- resource allocation --- profit --- energy consumption --- reinforcement learning --- server consolidation --- RF --- NoC --- OFDMA --- simulator --- routing --- reconfigurable --- Hybrid Application Mapping (HAM) --- many-core systems --- embedded systems --- composability --- design space exploration (DSE) --- Network-on-Chip (NoC) --- real-time guarantees --- predictability --- multi/many-core platforms --- reliability --- mixed-criticality --- embedded computer systems --- cyber security --- system-level design and design-space exploration --- multi-objective optimization --- system trade-offs --- energy-efficient computing --- run-time management --- machine learning --- concurrent workloads --- multi-core systems --- processing-in-memory --- near-memory processing --- resource management --- code annotation --- compiler optimizations --- online heuristics --- energy efficiency --- 3D-stacked memories --- non-volatile memories --- peak-power management --- many-core --- directed acyclic task graphs --- high performance computing --- data centers --- resource allocation --- profit --- energy consumption --- reinforcement learning --- server consolidation --- RF --- NoC --- OFDMA --- simulator --- routing --- reconfigurable --- Hybrid Application Mapping (HAM) --- many-core systems --- embedded systems --- composability --- design space exploration (DSE) --- Network-on-Chip (NoC) --- real-time guarantees --- predictability --- multi/many-core platforms --- reliability --- mixed-criticality

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This book features the manuscripts accepted for the Special Issue “Applications in Electronics Pervading Industry, Environment and Society—Sensing Systems and Pervasive Intelligence” of the MDPI journal Sensors. Most of the papers come from a selection of the best papers of the 2019 edition of the “Applications in Electronics Pervading Industry, Environment and Society” (APPLEPIES) Conference, which was held in November 2019. All these papers have been significantly enhanced with novel experimental results. The papers give an overview of the trends in research and development activities concerning the pervasive application of electronics in industry, the environment, and society. The focus of these papers is on cyber physical systems (CPS), with research proposals for new sensor acquisition and ADC (analog to digital converter) methods, high-speed communication systems, cybersecurity, big data management, and data processing including emerging machine learning techniques. Physical implementation aspects are discussed as well as the trade-off found between functional performance and hardware/system costs.

Technology: general issues --- model-based design --- FPGA --- HDL code generation --- wearable sensors --- embedded devices --- face recognition --- face verification --- biometric sensors --- deep learning --- distillation --- convolutional neural networks --- spatial transformer network --- video coding --- discrete cosine transform --- directional transform --- VLSI --- alternative representations to float numbers --- posit arithmetic --- Deep Neural Networks (DNNs) --- neural network activation functions --- surface electromyography --- event-driven --- functional electrical stimulation --- embedded system --- resampling --- interpolating polynomial --- polyphase filter --- digital circuit design --- ASIC --- bitmap indexing --- processing in memory --- memory wall --- big data --- internet of things --- intelligent sensors --- autonomous driving --- cyber security --- HW accelerator --- on-chip random number generator (RNG) --- SHA2 --- ASIC standard-cell --- machine learning --- edge computing --- edge analytics --- ANN --- k-NN --- SVM --- decision trees --- ARM --- X-Cube-AI --- STM32 Nucleo --- rad-hard --- PLL (phase-locked loop) --- SEE (single event effects) --- Spacefibre --- TID (total ionization dose) --- charge pump --- phase/frequency detector --- frequency divider --- ring oscillator --- LC-tank oscillator --- SpaceFibre --- rad-hard circuits --- radiation effects --- high-speed data transfer --- support attitude --- inertial measurement unit --- coal mining --- unscented Kalman filter --- quaternion --- gradient descent --- research data collection and sharing --- connected and automated driving --- deployment and field testing --- vehicular sensors --- impact assessment --- knowledge management --- collaborative project methodology --- model-based design --- FPGA --- HDL code generation --- wearable sensors --- embedded devices --- face recognition --- face verification --- biometric sensors --- deep learning --- distillation --- convolutional neural networks --- spatial transformer network --- video coding --- discrete cosine transform --- directional transform --- VLSI --- alternative representations to float numbers --- posit arithmetic --- Deep Neural Networks (DNNs) --- neural network activation functions --- surface electromyography --- event-driven --- functional electrical stimulation --- embedded system --- resampling --- interpolating polynomial --- polyphase filter --- digital circuit design --- ASIC --- bitmap indexing --- processing in memory --- memory wall --- big data --- internet of things --- intelligent sensors --- autonomous driving --- cyber security --- HW accelerator --- on-chip random number generator (RNG) --- SHA2 --- ASIC standard-cell --- machine learning --- edge computing --- edge analytics --- ANN --- k-NN --- SVM --- decision trees --- ARM --- X-Cube-AI --- STM32 Nucleo --- rad-hard --- PLL (phase-locked loop) --- SEE (single event effects) --- Spacefibre --- TID (total ionization dose) --- charge pump --- phase/frequency detector --- frequency divider --- ring oscillator --- LC-tank oscillator --- SpaceFibre --- rad-hard circuits --- radiation effects --- high-speed data transfer --- support attitude --- inertial measurement unit --- coal mining --- unscented Kalman filter --- quaternion --- gradient descent --- research data collection and sharing --- connected and automated driving --- deployment and field testing --- vehicular sensors --- impact assessment --- knowledge management --- collaborative project methodology

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• Reference Manager
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This book features the manuscripts accepted for the Special Issue “Applications in Electronics Pervading Industry, Environment and Society—Sensing Systems and Pervasive Intelligence” of the MDPI journal Sensors. Most of the papers come from a selection of the best papers of the 2019 edition of the “Applications in Electronics Pervading Industry, Environment and Society” (APPLEPIES) Conference, which was held in November 2019. All these papers have been significantly enhanced with novel experimental results. The papers give an overview of the trends in research and development activities concerning the pervasive application of electronics in industry, the environment, and society. The focus of these papers is on cyber physical systems (CPS), with research proposals for new sensor acquisition and ADC (analog to digital converter) methods, high-speed communication systems, cybersecurity, big data management, and data processing including emerging machine learning techniques. Physical implementation aspects are discussed as well as the trade-off found between functional performance and hardware/system costs.

model-based design --- FPGA --- HDL code generation --- wearable sensors --- embedded devices --- face recognition --- face verification --- biometric sensors --- deep learning --- distillation --- convolutional neural networks --- spatial transformer network --- video coding --- discrete cosine transform --- directional transform --- VLSI --- alternative representations to float numbers --- posit arithmetic --- Deep Neural Networks (DNNs) --- neural network activation functions --- surface electromyography --- event-driven --- functional electrical stimulation --- embedded system --- resampling --- interpolating polynomial --- polyphase filter --- digital circuit design --- ASIC --- bitmap indexing --- processing in memory --- memory wall --- big data --- internet of things --- intelligent sensors --- autonomous driving --- cyber security --- HW accelerator --- on-chip random number generator (RNG) --- SHA2 --- ASIC standard-cell --- machine learning --- edge computing --- edge analytics --- ANN --- k-NN --- SVM --- decision trees --- ARM --- X-Cube-AI --- STM32 Nucleo --- rad-hard --- PLL (phase-locked loop) --- SEE (single event effects) --- Spacefibre --- TID (total ionization dose) --- charge pump --- phase/frequency detector --- frequency divider --- ring oscillator --- LC-tank oscillator --- SpaceFibre --- rad-hard circuits --- radiation effects --- high-speed data transfer --- support attitude --- inertial measurement unit --- coal mining --- unscented Kalman filter --- quaternion --- gradient descent --- research data collection and sharing --- connected and automated driving --- deployment and field testing --- vehicular sensors --- impact assessment --- knowledge management --- collaborative project methodology --- n/a