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Bulk solids handling.

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Composite materials industry. --- Composite materials. --- Fire prevention. --- Buildings --- Fire safety --- Fires --- Prevention of fires --- Fire protection engineering --- Public safety --- Insurance engineering --- Composites (Materials) --- Multiphase materials --- Reinforced solids --- Solids, Reinforced --- Two phase materials --- Materials --- Manufacturing industries --- Fires and fire prevention --- Prevention

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This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health. .

Mechanical properties of solids --- Applied physical engineering --- patroonherkenning --- fabrieken --- superclaus proces --- toegepaste mechanica --- optica --- Artificial intelligence. --- Fault location (Engineering) --- Fault tolerance (Engineering)

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This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.

Simulation methods. --- Simulation techniques --- System simulation --- Operations research --- Systems engineering --- Models and modelmaking --- Mechanics. --- Mechanics, Applied. --- Computer science. --- Distribution (Probability theory. --- Solid Mechanics. --- Computational Science and Engineering. --- Probability Theory and Stochastic Processes. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Informatics --- Science --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Computer mathematics. --- Probabilities. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Computer mathematics --- Electronic data processing --- Solids. --- Probability Theory. --- Data processing. --- Solid state physics --- Transparent solids

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This book focuses on essential synaptic plasticity emulations and neuromorphic computing applications realized with the aid of three-terminal synaptic devices based on ion-coupled oxide-based electric-double-layer (EDL) transistors. To replicate the robust, plastic and fault-tolerant computational power of the human brain, the emulation of essential synaptic plasticity and computation of neurons/synapse by electronic devices are generally considered to be key steps. The book shows that the formation of an EDL at the dielectric/channel interface that slightly lags behind the stimuli can be attributed to the electrostatic coupling between ions and electrons; this mechanism underlies the emulation of short-term synaptic behaviors. Furthermore, it demonstrates that electrochemical doping/dedoping processes in the semiconducting channel by penetrated ions from electrolyte can be utilized for the emulation of long-term synaptic behaviors. Lastly, it applies these synaptic transistors in an artificial visual system to demonstrate the potential for constructing neuromorphic systems. Accordingly, the book offers a unique resource on understanding the brain-machine interface, brain-like chips, artificial cognitive systems, etc. .

Neuromorphics. --- Transistors. --- Optical materials. --- Biomaterials. --- Neurosciences. --- Optical and Electronic Materials. --- Solid State Physics. --- Electronic Circuits and Devices. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Biocompatible materials --- Biomaterials --- Medical materials --- Medicine --- Biomedical engineering --- Materials --- Biocompatibility --- Prosthesis --- Optics --- Electronic materials. --- Solid state physics. --- Electronic circuits. --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Physics --- Solids --- Electronic materials --- Bioartificial materials --- Hemocompatible materials --- Biomaterials (Biomedical materials)