Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The electrical energy on electrified bicycles offers new functional possibilities such as an active safety system to assist the rider during the braking process. This work shows the technical feasibility of such a system by presenting a rideable prototype. The so-called braking dynamics assistance system prevents the cyclist from both front wheel lockup and rollover (along the vehicle’s transverse axis).

Elektrofahrrad --- safety system --- Fahrdynamik --- Electric bicycle --- vehicle dynamics --- model-based design --- Verkehrssicherheit --- road safety --- Modellbasierte Entwicklung --- Sicherheitssystem

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.

History of engineering & technology --- component-based software engineering --- mode --- mode-switch --- complexity --- cyber-physical systems --- systems engineering --- uncertainty --- microgrid --- distributed design --- self-similar architecture --- plug-n-play --- distributed control --- distribution network --- field test --- autonomous cyber-physical systems --- resilience --- ethics --- nano-bio-info-cogno technologies --- smart cyber-physical systems --- self-generated intelligence --- ampliative reasoning mechanism --- procedural abduction --- data-driven system control --- run-time acquired data --- computational functions --- self-adaptation capability --- human/socially-centered applications --- embedded systems --- software component --- component-based development --- CBD --- GPU --- GPU component --- allocation --- component allocation --- architecture layer --- time-triggered system --- real-time --- adaptation --- scheduling --- multi-core --- real-time systems --- Fixed-Priority Preemptive Scheduling (FPPS) --- mixed-criticality systems --- n/a --- Cyber Physical Systems --- Reactive Systems --- Model-Based Design --- Embedded Systems --- Automatic Code Generation --- IDE --- Internet of Things --- model testing --- mutation testing --- energy consumption --- EAST-ADL

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.

component-based software engineering --- mode --- mode-switch --- complexity --- cyber-physical systems --- systems engineering --- uncertainty --- microgrid --- distributed design --- self-similar architecture --- plug-n-play --- distributed control --- distribution network --- field test --- autonomous cyber-physical systems --- resilience --- ethics --- nano-bio-info-cogno technologies --- smart cyber-physical systems --- self-generated intelligence --- ampliative reasoning mechanism --- procedural abduction --- data-driven system control --- run-time acquired data --- computational functions --- self-adaptation capability --- human/socially-centered applications --- embedded systems --- software component --- component-based development --- CBD --- GPU --- GPU component --- allocation --- component allocation --- architecture layer --- time-triggered system --- real-time --- adaptation --- scheduling --- multi-core --- real-time systems --- Fixed-Priority Preemptive Scheduling (FPPS) --- mixed-criticality systems --- n/a --- Cyber Physical Systems --- Reactive Systems --- Model-Based Design --- Embedded Systems --- Automatic Code Generation --- IDE --- Internet of Things --- model testing --- mutation testing --- energy consumption --- EAST-ADL

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.

History of engineering & technology --- component-based software engineering --- mode --- mode-switch --- complexity --- cyber-physical systems --- systems engineering --- uncertainty --- microgrid --- distributed design --- self-similar architecture --- plug-n-play --- distributed control --- distribution network --- field test --- autonomous cyber-physical systems --- resilience --- ethics --- nano-bio-info-cogno technologies --- smart cyber-physical systems --- self-generated intelligence --- ampliative reasoning mechanism --- procedural abduction --- data-driven system control --- run-time acquired data --- computational functions --- self-adaptation capability --- human/socially-centered applications --- embedded systems --- software component --- component-based development --- CBD --- GPU --- GPU component --- allocation --- component allocation --- architecture layer --- time-triggered system --- real-time --- adaptation --- scheduling --- multi-core --- real-time systems --- Fixed-Priority Preemptive Scheduling (FPPS) --- mixed-criticality systems --- Cyber Physical Systems --- Reactive Systems --- Model-Based Design --- Embedded Systems --- Automatic Code Generation --- IDE --- Internet of Things --- model testing --- mutation testing --- energy consumption --- EAST-ADL --- component-based software engineering --- mode --- mode-switch --- complexity --- cyber-physical systems --- systems engineering --- uncertainty --- microgrid --- distributed design --- self-similar architecture --- plug-n-play --- distributed control --- distribution network --- field test --- autonomous cyber-physical systems --- resilience --- ethics --- nano-bio-info-cogno technologies --- smart cyber-physical systems --- self-generated intelligence --- ampliative reasoning mechanism --- procedural abduction --- data-driven system control --- run-time acquired data --- computational functions --- self-adaptation capability --- human/socially-centered applications --- embedded systems --- software component --- component-based development --- CBD --- GPU --- GPU component --- allocation --- component allocation --- architecture layer --- time-triggered system --- real-time --- adaptation --- scheduling --- multi-core --- real-time systems --- Fixed-Priority Preemptive Scheduling (FPPS) --- mixed-criticality systems --- Cyber Physical Systems --- Reactive Systems --- Model-Based Design --- Embedded Systems --- Automatic Code Generation --- IDE --- Internet of Things --- model testing --- mutation testing --- energy consumption --- EAST-ADL

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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