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Multisensor data fusion. --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks

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Power production and its consumption and distribution are among the most urgent problems of mankind. Despite positive dynamics in introducing renewable sources of energy, nuclear power plants still remain the major source of carbon-free electric energy. Fusion can be an alternative to fission in the foreseeable future. Research in the field of controlled nuclear fusion has been ongoing for almost 100 years. Magnetic confinement systems are the most promising for effective implementation, and the International Thermonuclear Experimental Reactor is under construction in France. To accomplish nuclear fusion on Earth, we have to resolve a number of scientific and technological problems. This monograph includes selected chapters on nuclear physics and mechanical engineering within the scope of nuclear fusion.

Nuclear fusion. --- Fusion, Nuclear --- Fusion reactions --- Fusion --- Nuclear reactions --- Physical Sciences --- Engineering and Technology --- Chemistry --- Radiochemistry --- Nuclear Chemistry

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Discusses every form of energy used now and potentially future sources

Nuclear fusion --- Renewable energy sources --- Power resources --- Nuclear fusion. --- Renewable energy sources. --- Power resources.

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Auditory behavior, perception, and cognition are all shaped by information from other sensory systems. This volume examines this multi-sensory view of auditory function at levels of analysis ranging from the single neuron to neuroimaging in human clinical populations. Visual Influence on Auditory Perception Adrian K.C. Lee and Mark T. Wallace Cue Combination within a Bayesian Framework David Alais and David Burr Toward a Model of Auditory-Visual Speech Intelligibility Ken W. Grant and Joshua G. W. Bernstein An Object-based Interpretation of Audiovisual Processing Adrian K.C. Lee, Ross K. Maddox, and Jennifer K. Bizley Hearing in a “Moving” Visual World: Coordinate Transformations Along the Auditory Pathway Shawn M. Willett, Jennifer M. Groh, Ross K. Maddox Multisensory Processing in the Auditory Cortex Andrew J. King, Amy Hammond-Kenny, Fernando R. Nodal Audiovisual Integration in the Primate Prefrontal Cortex Bethany Plakke and Lizabeth M. Romanski Using Multisensory Integration to Understand Human Auditory Cortex Michael S. Beauchamp Combining Voice and Face Content in the Primate Temporal Lobe Catherine Perrodin and Christopher I. Petkov Neural Network Dynamics and Audiovisual Integration Julian Keil and Daniel Senkowski Cross-Modal Learning in the Auditory System Patrick Bruns and Brigitte Röder Multisensory Processing Differences in Individuals with Autism Spectrum Disorder Sarah H. Baum Miller, Mark T. Wallace Adrian K.C. Lee is Associate Professor in the Department of Speech & Hearing Sciences and the Institute for Learning and Brain Sciences at the University of Washington, Seattle Mark T. Wallace is the Louise B McGavock Endowed Chair and Professor in the Departments of Hearing and Speech Sciences, Psychiatry, Psychology and Director of the Vanderbilt Brain Institute at Vanderbilt University, Nashville Allison B. Coffin is Associate Professor in the Department of Integrative Physiology and Neuroscience at Washington State University, Vancouver, WA Arthur N. Popper is Professor Emeritus and research professor in the Department of Biology at the University of Maryland, College Park Richard R. Fay is Distinguished Research Professor of Psychology at Loyola University, Chicago The chapter “Multisensory Processing in the Auditory Cortex” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Multisensor data fusion. --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks --- Otorhinolaryngology. --- Neurosciences. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Ear, nose, and throat diseases --- ENT diseases --- Otorhinolaryngology --- Medicine

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A Beginner’s Guide to 3D Modeling is a project-based, straightforward introduction to computer-aided design (CAD). You’ll learn how to use Autodesk Fusion 360, the world’s most powerful free CAD software, to model gadgets, 3D print your designs, and create realistic images just like an engineering professional—with no experience required! Hands-on modeling projects and step-by-step instructions throughout the book introduce fundamental 3D modeling concepts. As you work through the projects, you’ll master the basics of parametric modeling and learn how to create your own models, from simple shapes to multipart assemblies. Once you’ve mastered the basics, you’ll learn more advanced modeling concepts like sweeps, lofts, surfaces, and rendering, before pulling it all together to create a robotic arm. You’ll learn how to: •Design a moving robotic arm, a door hinge, a teapot, and a 20-sided die •Create professional technical drawings for manufacturing and patent applications •Model springs and other complex curves to create realistic designs •Use basic Fusion 360 tools like Extrude, Revolve, and Hole •Master advanced tools like Coil and Thread Whether you’re a maker, hobbyist, or artist, A Beginner’s Guide to 3D Modeling is certain to show you how to turn your ideas into professional models. Go ahead—dust off that 3D printer and feed it your amazing designs.

Three-dimensional modeling --- Computer-aided design --- Fusion 360