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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.]
Internet of Things (IoT) --- Embedded Systems --- Cyber-Physical Systems --- Real-Time Systems
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This open access book constitutes the thoroughly refereed proceedings of the Second International Symposium on Computer and Information Sciences, EuroCybersec 2021, held in Nice, France, in October 2021. The 9 papers presented together with 1 invited paper were carefully reviewed and selected from 21 submissions. The papers focus on topics of security of distributed interconnected systems, software systems, Internet of Things, health informatics systems, energy systems, digital cities, digital economy, mobile networks, and the underlying physical and network infrastructures. This is an open access book.
Computer networks --- Computer security --- Security measures --- architecture types --- artificial intelligence --- communication systems --- computer crime --- computer hardware --- computer networks --- computer security --- computer systems --- cryptography --- data security --- Internet of Things (IoT) --- network protocols --- network security --- signal processing --- software architecture --- software design --- software engineering --- telecommunication networks --- telecommunication systems --- Seguretat informàtica --- Xarxes d'ordinadors
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This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2022, held in Paris, France, in June 2022. The 15 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 33 submissions. They cover topics such as design, development, deployment, and evaluation of AI for health, smart urban environments, assistive technologies, chronic disease management, and coaching and health telematics systems.
Network hardware --- Software Engineering --- Information retrieval --- User interface design & usability --- Computer vision --- Information technology: general issues --- architecture types --- artificial intelligence --- communication systems --- computer hardware --- computer networks --- computer science --- computer systems --- engineering --- Human-Computer Interaction (HCI) --- internet --- Internet of Things (IoT) --- network protocols --- sensors --- signal processing --- software architecture --- software design --- software engineering --- telecommunication systems --- ubiquitous computing --- user interfaces --- Intel·ligència artificial en medicina --- Informàtica mèdica
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The recent development in wireless networks and devices has led to novel services that will utilize wireless communication on a new level. Much effort and resources have been dedicated to establishing new communication networks that will support machine-to-machine communication and the Internet of Things (IoT). In these systems, various smart and sensory devices are deployed and connected, enabling large amounts of data to be streamed. Smart services represent new trends in mobile services, i.e., a completely new spectrum of context-aware, personalized, and intelligent services and applications. A variety of existing services utilize information about the position of the user or mobile device. The position of mobile devices is often achieved using the Global Navigation Satellite System (GNSS) chips that are integrated into all modern mobile devices (smartphones). However, GNSS is not always a reliable source of position estimates due to multipath propagation and signal blockage. Moreover, integrating GNSS chips into all devices might have a negative impact on the battery life of future IoT applications. Therefore, alternative solutions to position estimation should be investigated and implemented in IoT applications. This Special Issue, “Smart Sensor Technologies for IoT” aims to report on some of the recent research efforts on this increasingly important topic. The twelve accepted papers in this issue cover various aspects of Smart Sensor Technologies for IoT.
Technology: general issues --- Internet of Things (IoT) --- ReRoute --- Multicast Repair (M-REP) --- internet of things (IoT) --- Fast Reroute --- bit repair (B-REP) --- failure repair --- WSN --- MANET --- DRONET --- multilayered network model --- 5G --- IoT --- smart sensors --- smart sensor --- IoT system --- Velostat --- pressure sensor --- convolutional neural network --- data classification --- position detection --- magnetometer --- traffic --- vehicle --- classification --- measurement --- detection --- Internet of Things --- Bluetooth --- indoor tracking --- mobile localization --- optical sensors --- vibration sensing --- quality of service differentiation --- wireless optical networks --- free space optics --- multiwavelength laser --- optical code division multiple access (OCDMA) --- underwater wireless sensor network --- energy-efficient --- clustering --- depth-based routing --- mm-wave radars --- GNSS-RTK positioning --- wireless technology --- electromagnetic scanning --- point cloud --- localization --- IMU --- Wi-Fi --- positioning --- dead reckoning --- particle filter --- fingerprinting --- Wi-Fi sensing --- human activity recognition --- location-independent --- meta learning --- metric learning --- few-shot learning --- ACR --- H.264/AVC --- H.265/HEVC --- QoE --- subjective assessment --- n/a
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This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments.
History of engineering & technology --- Internet of Things (IoT) --- mobile apps --- end-user development --- App Inventor --- block-based languages --- map-reduce --- computer-based systems --- environmental awareness --- Industry 4.0 --- Internet of Things --- irrigation systems --- planter --- project-based-learning --- smart learning environments --- teamwork --- smart classrooms --- educational technology --- multimodal learning analytics --- internet of things --- multisensorial networks --- IoT --- cybersecurity --- Shodan --- teaching methodology --- use case based learning --- security audit --- vulnerabilities --- cyber-attacks --- vulnerability assessment --- web of things --- IoT learning --- cloud computing --- protocols --- virtualization --- instructional design
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Information and communication technology (ICT) is reponsible for up to 10% of world power consumption. In particular, communications and computing systems are indispensable elements in ICT; thus, determining how to improve the energy efficiency in communications and computing systems has become one of the most important issues for realizing green ICT. Even though a number of studies have been conducted, most of them focused on one aspect—either communications or computing systems. However, salient features in communications and computing systems should be jointly considered, and novel holistic approaches across communications and computing systems are strongly required to implement energy-efficient systems. In addition, emerging systems, such as energy-harvesting IoT devices, cyber-physical systems (CPSs), autonomous vehicles (AVs), and unmanned aerial vehicles (UAVs), require new approaches to satisfy their strict energy consumption requirements in mission-critical situations. The goal of this Special Issue is to disseminate the recent advances in energy-efficient communications and computing systems. Review and survey papers on these topics are welcome. Potential topics include, but are not limited to, the following: • energy-efficient communications: from physical layer to application layer; • energy-efficient computing systems; • energy-efficient network architecture: through SDN/NFV/network slicing; • energy-efficient system design; • energy-efficient Internet of Things (IoT) and Industrial IoT (IIoT); • energy-efficient edge/fog/cloud computing; • new approaches for energy-efficient computing and communications (e.g., AI/ML and data-driven approaches); • new performance metrics on energy efficiency in emerging systems; • energy harvesting and simultaneous wireless information and power transfer (SWIPT); • smart grid and vehicle-to-grid (V2G); and • standardization and open source activities for energy efficient systems.
History of engineering & technology --- UAV --- relay --- cooperative communications --- buffer --- power control --- energy efficiency --- energy-neutral operation --- wireless powered sensor network --- simultaneous wireless information and power transfer --- energy harvesting --- clustering --- offloading --- Internet of Things (IoT) --- energy --- constraint Markov decision process (CMDP) --- optimization --- computation offloading --- mobile edge computing --- lyapunov optimization --- 1-bit unit cell --- coding metasurface --- adaptive beam focusing --- wireless power transfer --- UAV network --- topology control --- space division
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Bioelectric sensors are unique diagnostic principles and technologies. Although they share many traits with electrochemical sensors, especially regarding the common features of instrumentation, they are focused on the measurement of the electric properties of biorecognition elements as a reflection of cellular, biological, and biomolecular functions in a rapid, very sensitive, and often non-invasive manner. Bioelectric sensors offer a plethora of options in terms both of assay targets (molecules, cells, organs, and organisms) and methodological approaches (e.g., potentiometry, impedance spectrometry, and patch-clamp electrophysiology). Irrespective of the method of choice, “bioelectric profiling” is being rapidly established as a superior concept for a number of applications, including in vitro toxicity, signal transduction, real-time medical diagnostics, environmental risk assessment, and drug development. This Special Issue is the first that is exclusively dedicated to the advanced and emerging concepts and technologies of bioelectric sensors. Topics include, but are not restricted to, bioelectric sensors for single cell analysis, electrophysiological olfactory and volatile organic compounds sensors, impedimetric biosensors, microbial fuel cell biosensors, and implantable autonomous bioelectric micro- and nano-sensors.
Technology: general issues --- organic optoelectronic device --- pulse meter --- biosensor --- Bluetooth low energy (BLE) --- photoplethysmogram (PPG) --- chronic wounds --- electrical stimulation --- direct microcurrent --- non-invasive --- pressure ulcer --- wireless technology --- biochips --- impedance spectroscopy --- electrical equivalent circuit --- biomaterial --- Lysinibacillus sphaericus JG-A12 --- anticancer therapeutic strategies --- apoptosis --- bioelectric --- 5-fluorouracil --- HeLa cell line --- superoxide --- cell immobilization --- 3D-printed well --- bioelectric profiling --- impedance analysis --- real-time measurements --- electrochemical biosensors --- SWCNT --- point-of-care diagnostics --- label-free biosensors --- ELISA --- carbon nanotubes --- bovine serum albumin --- pacemaker --- threat modeling --- internet of things (IoT) medical devices --- vulnerabilities --- n/a
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The intense development of novel data-driven and hybrid methods for structural health monitoring (SHM) has been demonstrated by field deployments on large-scale systems, including transport, wind energy, and building infrastructure. The actionability of SHM as an essential resource for life-cycle and resilience management is heavily dependent on the advent of low-cost and easily deployable sensors Nonetheless, in optimizing these deployments, a number of open issues remain with respect to the sensing side. These are associated with the type, configuration, and eventual processing of the information acquired from these sensors to deliver continuous behavioral signatures of the monitored structures. This book discusses the latest advances in the field of sensor networks for SHM. The focus lies both in active research on the theoretical foundations of optimally deploying and operating sensor networks and in those technological developments that might designate the next generation of sensing solutions targeted for SHM. The included contributions span the complete SHM information chain, from sensor design to configuration, data interpretation, and triggering of reactive action. The featured papers published in this Special Issue offer an overview of the state of the art and further proceed to introduce novel methods and tools. Particular attention is given to the treatment of uncertainty, which inherently describes the sensed information and the behavior of monitored systems.
Technology: general issues --- probabilistic data-interpretation --- Bayesian model updating --- error-domain model falsification --- iterative asset-management --- practical applicability --- computation time --- swarm-based parallel control (SPC) --- Internet of Things (IoT) --- soil–structure interaction (SSI) --- semi-active control --- adjacent buildings --- Bayesian inference --- model updating --- modal identification --- structural dynamics --- bridges --- sensor placement optimisation --- structural health monitoring --- damage identification --- mutual information --- evolutionary optimisation --- inertial sensor fusion --- instrumented particle --- MEMS --- sediment entrainment --- sensor calibration --- frequency of entrainment --- varying environmental and operational conditions --- damage detection and localization --- Gaussian process regression --- autoregressive with exogenous inputs --- distributed sensor network --- mode shape curvatures --- n/a --- soil-structure interaction (SSI)
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The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond.
Technology: general issues --- History of engineering & technology --- Energy industries & utilities --- hierarchical edge computing --- WSN --- rapid response strategy --- edge node --- fog access points --- cache memory --- convolutional neural network --- proactive caching --- fog computing --- Internet of Things --- service placement --- fog service orchestration --- spectral classification --- portable optical fiber spectrometers --- dew computing --- edge computing --- smartphone --- job scheduling --- scheduling heuristics --- mobile edge computing --- mobile edge server placement --- multiagent RL --- edge security --- offloading computation --- distributed collaboration --- data processing --- dynamic offloading --- IoT --- gateways --- Internet of Things (IoT) --- failure recovery --- FP-Growth algorithm --- association rules --- frequency pattern analysis --- computational offloading --- orchestration --- functional programming --- n/a
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Digital Twins in Industry is a compilation of works by authors with specific emphasis on industrial applications. Much of the research on digital twins has been conducted by the academia in both theoretical considerations and laboratory-based prototypes. Industry, while taking the lead on larger scale implementations of Digital Twins (DT) using sophisticated software, is concentrating on dedicated solutions that are not within the reach of the average-sized industries. This book covers 11 chapters of various implementations of DT. It provides an insight for companies who are contemplating the adaption of the DT technology, as well as researchers and senior students in exploring the potential of DT and its associated technologies.
Technology: general issues --- digital twin --- manufacturing --- tolerancing --- geometry assurance --- digital thread --- virtual reality --- augmented reality --- 360 modules --- YouTube --- online App --- construction --- building --- digital pedagogy --- role play --- e-learning --- risk management. --- internet of things --- interoperability --- standardization --- engine block --- industrial process --- steady state simulation --- directed graph --- piping and instrumentation diagram --- Balas® --- ergonomics --- production process --- Digital Twin --- digital twins --- crane --- machine design --- integration --- maintenance --- operation --- API --- open source --- framework --- shipyard --- industry 4.0 --- digital-twin --- gerotor pump --- hydraulic-systems --- simulation --- computer-aided design --- safety --- smart operator --- smart manufacturing --- Industry 4.0 --- digital twins (DTs) --- Internet of Things (IoT) --- sustainability requirements --- sustainable development --- product design --- n/a
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