Multiscale Modeling of Additively Manufactured Metals: Application to Laser Powder Bed Fusion Process (Additive Manufacturing Materials and Technologies)

Engineering & Transportation

Zhang, Yi

Zhang, Jing

Jung, Yeon-Gil

Engineering

Elsevier

Provides technical details and developments for all automotive power transmission systems The transmission system of an automotive vehicle is the key to the dynamic performance, drivability and comfort, and fuel economy. Modern advanced transmission systems are the combination of mechanical, electrical and electronic subsystems. The development of transmission products requires the synergy of multi-disciplinary expertise in mechanical engineering, electrical engineering, and electronic and software engineering. Automotive Power Transmission Systems comprehensively covers various types of power transmission systems of ground vehicles, including conventional automobiles driven by internal combustion engines, and electric and hybrid vehicles. The book covers the technical aspects of design, analysis and control for manual transmissions, automatic transmission, CVTs, dual clutch transmissions, electric drives, and hybrid power systems. It not only presents the technical details of key transmission components, but also covers the system integration for dynamic analysis and control. Key features: <ul>
<li>Covers conventional automobiles as well as electric and hybrid vehicles.</li> <li>Covers aspects of design, analysis and control.</li> <li>Includes the most recent developments in the field of automotive power transmission systems.</li> </ul> The book is essential reading for researchers and practitioners in automotive, mechanical and electrical engineering.

Automotive Power Transmission Systems (Automotive Series)

Mi, Chris

Automotive

wiley

Since the outstanding and pioneering research work of Hopfield on recurrent neural networks (RNNs) in the early 80s of the last century, neural networks have rekindled strong interests in scientists and researchers. Recent years have recorded a remarkable advance in research and development work on RNNs, both in theoretical research as weIl as actual applications. The field of RNNs is now transforming into a complete and independent subject. From theory to application, from software to hardware, new and exciting results are emerging day after day, reflecting the keen interest RNNs have instilled in everyone, from researchers to practitioners. RNNs contain feedback connections among the neurons, a phenomenon which has led rather naturally to RNNs being regarded as dynamical systems. RNNs can be described by continuous time differential systems, discrete time systems, or functional differential systems, and more generally, in terms of non linear systems. Thus, RNNs have to their disposal, a huge set of mathematical tools relating to dynamical system theory which has tumed out to be very useful in enabling a rigorous analysis of RNNs.

Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications, 13)

Reference

Springer

Since the outstanding and pioneering research work of Hopfield on recurrent neural networks (RNNs) in the early 80s of the last century, neural networks have rekindled strong interests in scientists and researchers. Recent years have recorded a remarkable advance in research and development work on RNNs, both in theoretical research as weIl as actual applications. The field of RNNs is now transforming into a complete and independent subject. From theory to application, from software to hardware, new and exciting results are emerging day after day, reflecting the keen interest RNNs have instilled in everyone, from researchers to practitioners. RNNs contain feedback connections among the neurons, a phenomenon which has led rather naturally to RNNs being regarded as dynamical systems. RNNs can be described by continuous time differential systems, discrete time systems, or functional differential systems, and more generally, in terms of non linear systems. Thus, RNNs have to their disposal, a huge set of mathematical tools relating to dynamical system theory which has tumed out to be very useful in enabling a rigorous analysis of RNNs.

Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications)

Fermented foods have for centuries been used as a healthy alternative. Learn how to make your own with this colorful guide.The perfect book for beginners, busy people, or those who want to use fermentation kits to make their own probiotics at home.
Fermented foods are a tasty and nutritious alternative to the standardized food products that fill today’s supermarkets. Traditionally prized for their medicinal and healthful properties, fermented food’s natural process and rich flavor is found in food cultures around the world. 
Practical Fermentation explains simply and clearly how to make your own versions of these delicious foods and experience their wonderful flavors in your own home. 
The book come complete with sixteen full-color recipes!Start living a healthier life by adding new probiotic options to your daily foods.Buy Practical Fermentation and start today!

Practical Fermentation: A Working Guide to Fermentation Kits

Cookbooks, Food & Wine

Canning & Preserving

Mockingbird Bell LLC

Advancing the Right to Health Care in China analyses the role of accountability, a Western concept that has recently been introduced to China, in advancing the right to health care in light of ChinaÆs unique political, legal and social background.

Advancing the Right to Health Care in China: Towards Accountability (83) (Human Rights Research Series)

Health, Fitness & Dieting

Intersentia

Continuous-Time Markov Decision Processes: Borel Space Models and General Control Strategies (Probability Theory and Stochastic Modelling, 97)

This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, epidemiology, finance, and other fields. Unlike most books on the subject, much attention is paid to problems with functional constraints and the realizability of strategies. 
Three major methods of investigations are presented, based on dynamic programming, linear programming, and reduction to discrete-time problems. Although the main focus is on models with total (discounted or undiscounted) cost criteria, models with average cost criteria and with impulsive controls are also discussed in depth.\nThe book is self-contained. A separate chapter is devoted to Markov pure jump processes and the appendices collect the requisite background on real analysis and applied probability. All the statements in the main text are proved in detail. 
Researchers and graduate students in applied probability, operational research, statistics and engineering will find this monograph interesting, useful and valuable.

Piunovskiy, Alexey

This book presents recent advances in three-dimensional (3D) imaging and display frameworks, encompassing three categories of 3D imaging and display technologies. The first category is nonphotorealistic 3D approaches based on conventional optical cameras to implement 3D stereoscopic observation of a scene. In the context of nonphotorealistic 3D imaging and reconstruction systems, the authors introduce general principles and also demonstrate camera calibration for 3D imaging, smart cameras, and full-link imaging methods using the optical modulation transfer function to improve imaging quality in conventional cameras. The second category is based on light-ray light field technology to achieve photorealistic 3D imaging and displays. &nbsp;In the context of light-ray light field systems, two approaches capable of light-ray light field 3D imaging by utilizing a camera array or a lens array are demonstrated. Accordingly, light-ray light field display approaches comprising head-mounted displays and integral displays are also introduced. The third category is also photorealistic 3D imaging and display technology, which is based on holography (i.e., diffraction or wavefront light field). &nbsp;In the corresponding holographic displays, the authors introduce 3D holographic displays from three elements: algorithms, devices, and systems, involving fast hologram generation algorithms, wide-viewing-angle display systems, and metasurface holography, etc. Including an investigative roadmap for future progress in optical imaging and 3D display systems, this book is essential reading for scientists and engineers in academia and industry who are interested in next-generation imaging and display concepts for 3D visual sensing systems.

Cameras and Display Systems Towards Photorealistic 3D Holography (Series in Display Science and Technology)

Computers & Technology

李劲

Hong, Jintao

Li, Xiaoxun

Liu, Zilong

Liu, Yanyan

Chu, Daping

Computer Science

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