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Real-Time Embedded Systems

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ISBN: 9783038975090 9783038975106 Year: Pages: 188 DOI: 10.3390/books978-3-03897-510-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Electrical and Nuclear Engineering
Added to DOAB on : 2019-01-10 12:20:27
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Real-time and networked embedded systems are important bidirectional bridges between the physical and the information worlds. Embedded intelligence is increasingly pervading industry, infrastructure, and public and private spaces, being identified as an emerging societal and economic “neural system” that supports both societal changes and economic growth. As cost/performance improves, objects connected in everyday life increasingly rely on embedded intelligence in an ever-growing array of application fields, specialized technologies, and engineering disciplines.While this process gradually builds the IoT, it exposes a series of specific non-trivial timing and other extra-functional requirements and system properties that are less common in other computing areas. The ten articles in this book propose solutions to the specific open problems of cyber–physical and real-time embedded systems applicable to both traditional application domains, such as industrial automation and control, energy management, automotive, aerospace and defense systems, as well as emerging domains, such as medical devices, household appliances, mobile multimedia, gaming, and entertainment systems.]

Interventions to Reduce Bullying and Cyberbullying

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ISBN: 9783039213597 9783039213603 Year: Pages: 214 DOI: 10.3390/books978-3-03921-360-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology
Added to DOAB on : 2019-12-09 11:49:15
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This book, a Special Issue of the International Journal of Environmental Research and Public Health, has been curated by three leading international experts on the topic. Following their editorial, there are 14 contributions on the topic of interventions against bullying, including cyberbullying, and similar abusive behaviors such as dating violence. Some contributions also assess positive or protective factors such as well-being, self-efficacy, and school climate. Eight of the contributions directly assess the effects of an intervention, with pre/post test designs and experimental and control groups. The other contributions examine a range of relevant topics, such as teacher attitudes and pupils’ confidence in intervening rather than being passive bystanders. Ten countries are represented among the authors. Most of the articles are about secondary schools (pupils, or teachers), but there are also contributions on early childhood, primary school, and university. This book will be of interest and relevance not only to researchers but also to teachers and educational practitioners concerned with pupil safety and well-being in school, and provides practical ways to reduce bullying and its harmful effects.

Keywords

bullying --- intervention --- pre-service teachers --- special education needs students --- cyberbullying --- cybervictimization --- prevention program --- tabby intervention program --- risk factors --- threat assessment --- ecological system theory --- bullying --- intervention --- willingness to intervene --- verbal bullying --- relational bullying --- aggression --- school --- classroom climate --- classroom cohesion --- self-efficacy --- bullying --- martial arts --- mental health --- resilience --- self-efficacy --- wellbeing --- effectiveness --- moderators --- temperament --- anti-bullying --- subgroup analyses --- dating violence --- bullying --- prevention program --- Dat-e Adolescence --- Asegúrate program --- cyberbullying --- cyber-victim --- cyber-aggressor --- bullying --- cyberbullying --- prevention program --- Prev@cib --- adolescents --- bullying --- cyberbullying --- school climate --- intervention program --- cyberbullying --- intervention --- school --- minors --- families --- teachers --- successful educational action --- Bullying --- intervention --- young children --- South Korea --- hakkyo-pokryuk --- prevention --- cyberbullying --- coping strategies --- teacher based-intervention --- adolescents --- traditional victimization --- cyber victimization --- bullying --- teacher styles --- authoritative leadership --- warmth --- control --- class teacher --- cyberbullying --- peer support --- bystanders --- moral disengagement --- cyberbullying and the law --- mental health --- social environment --- cyberbullying interventions --- educational lifespan --- n/a

Family, Bullying and Cyberbullying

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ISBN: 9783039210800 9783039210817 Year: Pages: 182 DOI: 10.3390/books978-3-03921-081-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Education
Added to DOAB on : 2019-06-26 08:44:06
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Despite the significant decrease in bullying that has been reported in many countries during the last two decades, bullying continues to be a significant problem among young people. Given the increase of internet use among youth, researchers have started to pay attention to cyberspace, understanding that it may be a fertile ground for bullying behaviors, specifically, what is known as cyberbullying. “Family, Bullying and Cyberbullying” examines the association of several family variables with bullying in offline and online environments during childhood and adolescence. Contributors from the Americas, Canada, Asia, and Europe offer cutting-edge research on family dynamics, bystander behaviors, parents’ and educators’ perceptions, and bullying and cyberbullying prevention and intervention strategies of bullying for school and home. This book also provides an analysis of the current research on the influence of family in the electronic bullying. Research topics included in the book: 1) Parental education and bullying and cyberbullying; 2) Parental monitoring and cyberbullying; 3) Parental communication and feelings of affiliation; 4) Student and educator perspective on cyberbullying; 5) Parents’ responses to bullying; 6) Parental mediation and bystander behaviors; 7) Development of scales to measure cyberbullying and high internet risks. “Family, Bullying and Cyberbullying” is an essential resource for researchers, graduate students, families, and practitioners in social education, social work, teacher education, and psychology.

QoS in Wireless Sensor/Actuator Networks and Systems

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ISBN: 9783038973621 9783038973638 Year: Pages: 200 DOI: 10.3390/books978-3-03897-363-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- Electrical and Nuclear Engineering
Added to DOAB on : 2018-11-26 10:59:38
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Wireless sensor/actuators networks (WSANs) are being increasingly used in a panoply of applications, such as industrial automation, process control, ambient assisted living, structural health monitoring, and homeland security. Most of these applications require specific quality-of-service (QoS) guarantees from their underlying communication infrastructures (regardless of their wireless, wired, or hybrid nature).This book gathers together an extremely rich set of contributions, addressing several WSAN domains and sharing QoS as a common denominator. Eight papers have made it through a rigorous and iterative peer review process (three reviews per paper, at least two review rounds), involving 38 authors from all over the world (North and South America, Europe, Asia, and Australia) from academia, industry, and the military. Each paper features at least one reference author which is highly reputed in this scientific domain, totaling over 100,000 citations altogether.

Sentiment Analysis for Social Media

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ISBN: 9783039285723 / 9783039285730 Year: Pages: 152 DOI: 10.3390/books978-3-03928-573-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:56
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Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.

Open-Source Electronics Platforms

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ISBN: 9783038979722 9783038979739 Year: Pages: 262 DOI: 10.3390/books978-3-03897-973-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Open-source electronics are becoming very popular, and are integrated with our daily educational and developmental activities. At present, the use open-source electronics for teaching science, technology, engineering, and mathematics (STEM) has become a global trend. Off-the-shelf embedded electronics such as Arduino- and Raspberry-compatible modules have been widely used for various applications, from do-it-yourself (DIY) to industrial projects. In addition to the growth of open-source software platforms, open-source electronics play an important role in narrowing the gap between prototyping and product development. Indeed, the technological and social impacts of open-source electronics in teaching, research, and innovation have been widely recognized.

Keywords

human-computer interface (HCI) --- electrooculogram (EOG) --- electromyogram (EMG) --- modified sliding window algorithm --- piecewise linear approximation (PLA) --- support vector regression --- eye tracking --- blockchain --- ontology --- context --- cyber-physical systems --- robotics --- interaction --- coalition --- individual management of livestock --- momentum data sensing --- remote sensing platform --- sensor networks --- technology convergence --- industry 4.0 --- distributed measurement systems --- automation networks --- node-RED --- cloud computing --- OPC UA --- hardware trojan taxonomy --- thermal imaging --- side channel analysis --- infrared --- FPGA --- Internet of Things --- wireless sensor networks --- Cloud of Things --- virtual sensor --- sensor detection --- smart cities --- Internet of Things --- Raspberry Pi --- BeagleBoard --- Arduino --- Internet of Things --- open hardware --- smart farming --- teaching robotics --- science teaching --- STEM --- robotic tool --- Python --- Raspberry Pi --- PiCamera --- vision system --- service learning --- robotics --- open platform --- automated vehicle --- EPICS --- open-source platform --- visual algorithms --- digital signal controllers --- embedded systems education --- dsPIC --- Java --- smart converter --- maximum power point tracking (MPPT) --- photovoltaic (PV) system --- Field Programmable Gate Array (FPGA) --- Digital Signal Processor (DSP) --- interleaved --- DC/DC converter --- distributed energy resource --- n/a

Internet of Things and Sensors Networks in 5G Wireless Communications

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ISBN: 9783039281480 9783039281497 Year: Pages: 222 DOI: 10.3390/books978-3-03928-149-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic.

New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

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ISBN: 9783039282906 9783039282913 Year: Pages: 428 DOI: 10.3390/books978-3-03928-291-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Industrial Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

Keywords

cutting insert selection --- cutting parameter optimization --- artificial neural networks --- genetic algorithm --- connected enterprise --- smart manufacturing --- big data --- machine learning --- data reduction --- predictive analytics --- in-line dimensional inspection --- warm forming --- 3D mesh reconstruction --- optical system --- revolution workpiece --- defect detection --- polymer lithium-ion battery --- convolutional neural network --- deep learning --- blister defect --- flower pollination algorithm --- Industry 4.0 --- anomaly detection --- scheduling --- neural network --- skyline queries --- Cyber-Physical Systems (CPS) --- scalability test --- Internet of Things (IoT) --- INDUSTRY 4.0 --- economic recession --- research and development indicators --- maintenance expert --- competence --- decision support --- micro-armature --- defect detection --- convolutional neural networks --- computer vision --- capacity control --- job shop systems --- RMTs --- operator theory --- 4th industrial revolution --- industry 4.0 --- AHP --- QFD --- matching --- fibre of preserved Szechuan pickle --- contour detection --- dilated convolutions --- HED --- social network --- industry 4.0 --- industrial knowledge graph --- deep learning --- industrial big data --- intellectualization of industrial information --- digital manufacturing --- smart factory --- Industry 4.0 --- digital platforms --- automated surface inspection --- D-VGG16 --- bilinear model --- Grad-CAM --- classification --- localization --- elliptical paraboloid array --- self-calibration method --- vertex distance --- optical slope sensor --- geometric relationship --- relative angle --- fabric defect detection --- LGM --- FCM --- image smoothing --- Industry 4.0 --- marketing innovations --- innovative marketing tools --- impacts marketing innovations --- Industry 4.0 --- configure-to-order --- BIM --- construction equipment --- digital information flow --- lean assembly --- digital twins --- cyber-physical production systems --- depthwise separable convolution --- YOLOv3 --- feature pyramid --- aircraft structure crack detection --- industrial load management --- demand-side management --- demand-side response --- energy flexibility --- IT concept --- platform-based ecosystem --- control service --- smart service --- control as a service --- cloud-based control system --- automation system --- chatter --- train wheel --- smart system --- turning --- edge computing --- n/a

Methods and Concepts for Designing and Validating Smart Grid Systems

Authors: --- ---
ISBN: 9783039216482 9783039216499 Year: Pages: 408 DOI: 10.3390/books978-3-03921-649-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Energy efficiency and low-carbon technologies are key contributors to curtailing the emission of greenhouse gases that continue to cause global warming. The efforts to reduce greenhouse gas emissions also strongly affect electrical power systems. Renewable sources, storage systems, and flexible loads provide new system controls, but power system operators and utilities have to deal with their fluctuating nature, limited storage capabilities, and typically higher infrastructure complexity with a growing number of heterogeneous components. In addition to the technological change of new components, the liberalization of energy markets and new regulatory rules bring contextual change that necessitates the restructuring of the design and operation of future energy systems. Sophisticated component design methods, intelligent information and communication architectures, automation and control concepts, new and advanced markets, as well as proper standards are necessary in order to manage the higher complexity of such intelligent power systems that form smart grids. Due to the considerably higher complexity of such cyber-physical energy systems, constituting the power system, automation, protection, information and communication technology (ICT), and system services, it is expected that the design and validation of smart-grid configurations will play a major role in future technology and system developments. However, an integrated approach for the design and evaluation of smart-grid configurations incorporating these diverse constituent parts remains evasive. The currently available validation approaches focus mainly on component-oriented methods. In order to guarantee a sustainable, affordable, and secure supply of electricity through the transition to a future smart grid with considerably higher complexity and innovation, new design, validation, and testing methods appropriate for cyber-physical systems are required. Therefore, this book summarizes recent research results and developments related to the design and validation of smart grid systems.

Keywords

adaptive control --- fuzzy logic --- cell --- frequency containment control (FCC) --- power frequency characteristic --- droop control --- smart grids --- substation automation system (SAS) --- high-availability seamless redundancy (HSR) --- seamless communications --- traffic reduction technique --- Power Hardware-in-the-Loop (PHIL) --- interface algorithm (IA) --- operational range of PHIL --- linear/switching amplifier --- cyber-physical energy system --- co-simulation --- conceptual structuration --- coupling method --- linear decision rules --- optimal reserve allocation --- robust optimization --- web of cells --- demand response --- real-time balancing market --- elastic demand bids --- shiftable loads --- market design --- market design elements --- Web-of-Cells --- procurement scheme --- remuneration scheme --- pricing scheme --- cascading procurement --- real-time simulation --- hardware-in-the-Loop --- synchrophasors --- micro-synchrophasors --- distribution phasor measurement units --- distribution grid --- time synchronization --- PHIL (power hardware in the loop) --- simulation initialization --- synchronization --- time delay --- synchronous power system --- stability --- accuracy --- peer-to-peer --- distributed control --- device-to-device communication --- voltage control --- experimentation --- smart grid --- cyber physical co-simulation --- information and communication technology --- 4G Long Term Evolution—LTE --- network reconfiguration --- fault management --- power loss allocation --- plug-in electric vehicle --- smart grid --- locational marginal prices --- microgrid --- resilience --- investment --- underground cabling --- network outage --- battery energy storage system (BESS) --- micro combined heat and power (micro-CHP) --- electricity distribution --- solar photovoltaics (PV) --- islanded operation --- distributed control --- microgrid --- hardware-in-the-loop --- average consensus --- multi-agent system --- active distribution network --- laboratory testbed --- renewable energy sources --- DC link --- centralised control --- interoperability --- smart energy systems --- use cases --- IEC 62559 --- SGAM --- TOGAF --- integration profiles --- IHE --- testing --- gazelle --- connectathon --- Hardware-in-the-Loop --- Software-in-the-Loop --- Power-Hardware-in-the-Loop --- Quasi-Dynamic Power-Hardware-in-the-Loop --- smart grids --- real-time simulation --- validation and testing --- decentralised energy system --- smart grids control strategies --- smart grid --- wind power --- synchronized measurements --- PMU --- data mining --- Architecture --- Development --- Enterprise Architecture Management --- Model-Based Software Engineering --- Smart Grid --- Smart Grid Architecture Model --- System-of-Systems --- Validation --- design, development and implementation methods for smart grid technologies --- modelling and simulation of smart grid systems --- co-simulation-based assessment methods --- validation techniques for innovative smart grid solutions --- real-time simulation and hardware-in-the-loop experiments

Multi-Sensor Information Fusion

Authors: ---
ISBN: 9783039283026 9783039283033 Year: Pages: 602 DOI: 10.3390/books978-3-03928-303-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Keywords

linear regression --- covariance matrix --- data association --- sensor fusing --- SLAM --- multi-sensor data fusion --- conflicting evidence --- Dempster–Shafer evidence theory --- belief entropy --- similarity measure --- data classification --- fault diagnosis --- Bar-Shalom Campo --- Covariance Projection method --- data fusion --- distributed architecture --- Kalman filter --- linear constraints --- inconsistent data --- user experience evaluation --- user experience measurement --- eye-tracking --- facial expression --- galvanic skin response --- EEG --- interaction tracker --- self-reporting --- user experience platform --- mix-method approach --- image fusion --- multi-focus --- weight maps --- gradient domain --- fast guided filter. --- Dempster-Shafer evidence theory (DST) --- uncertainty measure --- open world --- closed world --- Deng entropy --- extended belief entropy --- sensor data fusion --- orthogonal redundant inertial measurement units --- data fusion architectures --- sensors bias --- fire source localization --- dynamic optimization --- global information --- the Range-Point-Range frame --- the Range-Range-Range frame --- sensor array --- SINS/DVL integrated navigation --- unscented information filter --- square root --- state probability approximation --- most suitable parameter form --- deep learning --- data preprocessing --- Human Activity Recognition (HAR) --- Internet of things (IoT) --- Industry 4.0 --- trajectory reconstruction --- low-cost sensors --- embedded systems --- powered two wheels (PTW) --- safe trajectory --- data fusion --- health management decision --- grey group decision-making --- health reliability degree --- maintenance decision --- sensor system --- least-squares filtering --- least-squares smoothing --- networked systems --- random parameter matrices --- random delays --- packet dropouts --- multi-sensor system --- multi-sensor information fusion --- particle swarm optimization --- sensor data fusion algorithm --- distributed intelligence system --- multi-sensor time series --- deep learning --- machine health monitoring --- time-distributed ConvLSTM model --- spatiotemporal feature learning --- optimal estimate --- unknown inputs --- distributed fusion --- augmented state Kalman filtering (ASKF) --- soft sensor --- coefficient of determination maximization strategy --- expectation maximization (EM) algorithm --- Gaussian mixture model (GMM) --- alumina concentration --- multi-sensor joint calibration --- high-dimensional fusion data (HFD) --- supervoxel --- Gaussian density peak clustering --- sematic segmentation --- multisensor data fusion --- multitarget tracking --- GMPHD --- sonar network --- RFS --- attitude estimation --- Kalman filter --- land vehicle --- magnetic angular rate and gravity (MARG) sensor --- quaternion --- yaw estimation --- network flow theory --- multitarget tracking --- spectral clustering --- A* search algorithm --- RTS smoother --- integer programming --- Surface measurement --- multi-sensor measurement --- surface modelling --- data fusion --- Gaussian process --- multi-sensor network --- observable degree analysis --- information fusion --- nonlinear system --- hybrid adaptive filtering --- weighted fusion estimation --- square-root cubature Kalman filter --- information filter --- surface quality control --- multi-sensor data fusion --- cutting forces --- vibration --- acoustic emission --- signal feature extraction methods --- predictive modeling techniques --- attitude --- orientation --- estimation --- Kalman filter --- quaternion --- manifold --- image registration --- evidential reasoning --- belief functions --- uncertainty --- DoS attack --- industrial cyber-physical system (ICPS) --- security zones --- mimicry security switch strategy --- fixed-point filter --- extended Kalman filter --- nested iterative method --- Steffensen’s iterative method --- convergence condition --- vehicular localization --- target positioning --- high-definition map --- vehicle-to-everything --- intelligent and connected vehicles --- intelligent transport system --- image registration --- non-rigid feature matching --- local structure descriptor --- Gaussian mixture model --- aircraft pilot --- workload --- multi-source data fusion --- fuzzy neural network --- principal component analysis --- parameter learning --- drift compensation --- domain adaption --- feature representations --- electronic nose --- data fusion --- dual gating --- MEMS accelerometer and gyroscope --- cardiac PET --- out-of-sequence --- multi-target tracking --- random finite set --- gaussian mixture probability hypothesis density --- multisensor system --- Gaussian process regression --- Bayesian reasoning method --- Dempster–Shafer evidence theory (DST) --- uncertainty measure --- novel belief entropy --- multi-sensor data fusion --- decision-level sensor fusion --- electronic nose --- subspace alignment --- interference suppression --- transfer --- evidence combination --- time-domain data fusion --- object classification --- uncertainty --- multirotor UAV --- precision landing --- artificial marker --- pose estimation --- sensor fusion --- camera --- LiDAR --- calibration --- plane matching --- ICP --- projection --- data fusion --- data registration --- adaptive distance function --- complex surface measurement --- Gaussian process model --- Dempster–Shafer evidence theory --- conflict measurement --- mutual support degree --- Hellinger distance --- Pignistic vector angle --- multi-sensor data fusion --- multi-environments --- state estimation --- unmanned aerial vehicle

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