Choose an application

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

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Civil engineering, surveying & building --- self-organization --- cyber-physical system --- swarm robotics --- resilience --- scalability

Choose an application

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

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.

fog computing --- heterogeneous networks --- distributed mechanism --- energy efficiency --- scheduling --- CSMA --- throughput --- grant-free --- D2D communication --- MAC --- Industrial Internet of Things --- estimation --- 5G --- survey --- liquid detection --- power control --- sensor --- SINR --- radio propagation --- MU association --- Raspberry Pi --- reliability --- latency --- deterministic --- Industry 4.0 --- stochastic geometry --- dielectric constant --- Cyber Physical System --- IoT --- successive interference cancellation --- URLLC --- end-to-end delay --- resource allocation --- polynomial interpolation --- industrial automation --- cloud computing --- mMTC --- smart factory --- deployment --- ultra-reliable and low-latency communications --- PHY --- aperiodic traffic --- NB-IoT --- irregular repetition slotted ALOHA --- edge computing --- time-critical --- eMBB --- medium access control --- M2M --- Internet of Things --- internet of things --- sensor network --- random access --- smart devices --- non-orthogonal multiple access --- USRP --- WCI --- narrowband --- congestion

Choose an application

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

Dynamic stability basically deals with the interactions between the system's components. Following a disturbance, the system's variables undergo transitions that can induce oscillations in active and reactive power generation, resulting in the occurrence of voltage oscillatory modes and frequency deviation in the system. Depending on the entity of the disturbance, the small- or large-signal stability of the system under consideration can be investigated. The introduction of RES-based generation that does not participate in the network services (i.e., frequency and voltage regulation) due to lack of special controls will undoubtedly affect both the overall frequency and voltage stability. Large-scale transient stability is also a concern not to be overlooked: inverter-based wind and solar generation have different angle/speed swing behaviors with respect to traditional generation due to reduced inertia, different voltage swing behaviors due to different voltage control systems, different power flow patterns, and different displacements of synchronous generation at key locations. Therefore, although power system stability and dynamics have played a very central role in the management and study of electrical power systems thus far, it is also true that the emerging scenario requires new methodologies, technologies, and analyses. In this light, the current Special Issue aims to collect contributions (i.e., research papers and review articles) on power system dynamics and stability from experts in academia and industry.

Technology: general issues --- History of engineering & technology --- power system stability --- inertia estimation --- PMU --- microgrids --- frequency control --- grid-forming --- 100% converter-interfaced generation --- virtual synchronous machine --- forced oscillation --- inverter-based resources (IBRs) --- grid vulnerability analysis --- active power modulation --- virtual inertia --- fast frequency measurement --- fast frequency regulation --- distributed energy resources --- ancillary services --- power hardware-in-the-loop --- legacy resources --- large perturbation angle stability --- small perturbation angle stability --- voltage stability --- synthetic inertia --- demand response --- reactive compensation --- power system restoration --- primary frequency control --- frequency nadir estimation --- low inertia systems --- real-time dynamic simulation --- national power grid --- cyber physical system (CPS) --- co-simulation --- battery energy storage system (BESS) --- energy management system (EMS) --- load modelling --- line modelling --- power system analysis --- transient stability --- small-signal stability --- inverter-based resources --- modular multilevel converters --- primary frequency regulation --- battery energy storage system --- Ornstein–Uhlenbeck stochastic process --- compound poisson stochastic process --- frequency stability --- rotor angle stability --- power system inertia --- converter-interfaced generation --- renewable power generators

Choose an application

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

This book is about JIDOKA, a Japanese management technique coined by Toyota that consists of imbuing machines with human intelligence. The purpose of this compilation of research articles is to show industrial leaders innovative cases of digitization of value creation processes that have allowed them to improve their performance in a sustainable way. This book shows several applications of JIDOKA in the quest towards an integration of human and AI within Industry 4.0 Cyber Physical Manufacturing Systems. From the use of artificial intelligence to advanced mathematical models or quantum computing, all paths are valid to advance in the process of human–machine integration.

Technology: general issues --- History of engineering & technology --- healthy operator 4.0 --- human–cyber–physical system --- industrial internet of things --- industry 4.0 --- smart workplaces --- EEG sensors --- manufacturing systems --- shopfloor management --- machine learning --- deep learning --- reference architecture model --- interoperability --- digital twin --- distributed ledger technology --- GDPR --- RAMI 4.0 --- LASFA --- quantum computing --- strategic organizational design --- Industry 4.0 --- complex networks --- cyber-physical systems --- lean management systems --- quantum strategic organizational design --- quantum circuits --- quantum simulation --- JIDOKA --- Operator 4.0 --- process variability --- integration explaining variability --- quantum approximate optimization algorithm --- value–stream networks --- optimization --- maintenance interval --- maintenance model --- semi-Markov process --- right-censored data --- finite horizon --- maintenance cost --- Cyber-Physical Systems --- Lean Manufacturing --- Directed Acyclic Graphs --- scikit-learn --- pipegraph --- machine learning models

Choose an application

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

The Industry 4.0 paradigm has led to the creation of new opportunities for taking advantage of a set of diverse technologies in the manufacturing domain. This book touches on a series of advanced technologies and research fields, including Internet of Things, Augmented and Virtual Reality, Machine Learning, Advanced Robotics, Additive Manufacturing, System and Process Simulation, Computer-Aided Design/Engineering/Manufacturing/Process Planning Systems as well as Product Lifecycle Management Platforms. The topics covered span a series of diverse areas related to a) product design and development, b) manufacturing systems and operations, c) process engineering, and d) Industry 4.0 technologies review and realization.

computer-aided tolerance --- processing features degradation --- skin model shape --- statistical tolerance analysis --- tolerance allocation --- collaborative learning --- engineering graphics --- PLM --- 3D modeling --- engineering education --- Industry 4.0 --- index --- smart --- intensity of technology --- manufacturing --- implementation --- statistical process control --- pattern recognition --- long short-term memory --- feature learning --- control chart --- histogram --- digital hydraulic technology --- digital hydraulic components --- digital hydraulic system --- shearer --- virtual reality --- path planning --- automatic height-adjusting --- Unity3D technology --- Rapidly-exploring Random Tree (RRT) --- manipulator --- motion planning --- obstacle avoidance --- complex environment --- exoskeletons --- planning methods --- ergonomics --- time management --- augmented reality --- maintenance --- real-time --- digital twin --- decision support system --- factor analysis --- KPI --- quantitative analysis --- root-cause analysis --- life cycle --- knowledge- and technology-intensive industry (KTI) --- VUCA --- key enabling technology (KET) --- Operator 4.0 --- cyber-physical system (CPS) --- DfHFinI4.0 --- PERA 4.0 --- process planning --- scheduling --- design for additive manufacturing --- multiple criteria --- SMEs --- technologies --- cluster analysis --- maturity model --- n/a