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Photovoltaic Partial Shading
This text comprehensively discusses the modeling of photovoltaic (PV) modules, PV array interconnections, multi-level inverters, distributed maximum power point tracking techniques, and static and dynamic PV array reconfiguration techniques. It gives a step-by-step procedure for hardware validation of the partial shading mitigation techniques. This book: Focuses on the impacts and mitigation techniques related to partial shading problems associated with PV systems. Presents a step-by-step guide for addressing partial shading problems in PV systems. Covers methods like array reconfiguration through Tom-Tom puzzle pattern and Arrow Sudoku pattern. Presents hardware validation of the partial shading mitigation techniques. Elaborates static and moving shading conditions in a detailed manner. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, environmental engineering, and renewable energy.
Proceedings of CECNet 2021
It is almost impossible to imagine life today without the electronics, communications and networks we have all come to take for granted. The 6G network is currently under development and some chips able to operate at the Terahertz (THz) scale have already been introduced, so the next decade will probably see the consolidation of 6G-based technology, as well as many compliant devices. This book presents the proceedings of the 11th International Conference on Electronics, Communications and Networks (CECNet 2021), initially planned to be held from 18-21 November 2021 in Beijing, China, but ultimately held as an online event due to ongoing COVID-19 restrictions. The CECNet series is now an esta...
Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016)
The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.
Neural information processing [electronic resource]
Annotation This book constitutes the refereed proceedings of the 11th International Conference on Neural Information Processing, ICONIP 2004, held in Calcutta, India in November 2004. The 186 revised papers presented together with 24 invited contributions were carefully reviewed and selected from 470 submissions. The papers are organized in topical sections on computational neuroscience, complex-valued neural networks, self-organizing maps, evolutionary computation, control systems, cognitive science, adaptive intelligent systems, biometrics, brain-like computing, learning algorithms, novel neural architectures, image processing, pattern recognition, neuroinformatics, fuzzy systems, neuro-fuzzy systems, hybrid systems, feature analysis, independent component analysis, ant colony, neural network hardware, robotics, signal processing, support vector machine, time series prediction, and bioinformatics.
Handbook of Sustainability in Additive Manufacturing
This book highlights the sustainability aspects of additive manufacturing (AM) in two separate volumes. It describes the details of this technology and its implications on the entire product life cycle sustainability, as well as embedded carbon and the further research needed to move this technology towards sustainable, mainstream production. Sustainability is not new for any area of industry, including additive manufacturing, and there are currently a number of ongoing research projects, both in industry and in academic institutions, that are investigating sustainability, embedded carbon and research activities which would need to be done in the future to move this technology towards sustainable mainstream production.
Admissible Consensus and Consensualization for Singular Multi-agent Systems
This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems.
Textbook of Assisted Reproductive Techniques
Established as the definitive reference for the IVF clinic, the sixth edition has been extensively revised, with the addition of several important new contributions on laboratory topics, including KPIs for the IVF laboratory, Quality control in the cloud, Artificial Intelligence, AI in gamete and embryo selection, Demystifying vitrification, Microfluidics, Gene editing, Disaster management, and Early human embryo development revealed by static imaging. As previously, methods, protocols, and techniques of choice are presented by IVF pioneers and eminent international experts.
New Paradigms in Flow Battery Modelling
This book provides a comprehensive review of the latest modelling developments in flow batteries, as well as some new results and insights. Flow batteries have long been considered the most flexible answer to grid scale energy storage, and modelling is a key component in their development. Recent modelling has moved beyond macroscopic methods, towards mesoscopic and smaller scales to select materials and design components. This is important for both fundamental understanding and the design of new electrode, catalyst and electrolyte materials. There has also been a recent explosion in interest in machine learning for electrochemical energy technologies. The scope of the book includes these la...
