Computational Methods for Optimizing Manufacturing Technology

The main objective of CSAIT 2013 is to provide a forum for researchers, educators, engineers and government officials involved in the general areas of Computational Sciences and Information Technology

The benefits of advanced manufacturing methods can't be realized until they're practiced consistently and proficiently by your entire workforce. Here's a simple, low-cost way to get everyone on board

Responding to recent developments and a growing VLSI circuit manufacturing market, Technology Computer Aided Design: Simulation for VLSI MOSFET examines advanced MOSFET processes and devices through T

Adhesives are widely used in the manufacture and assembly of electronic circuits and products. Generally, electronics design engineers and manufacturing engineers are not well versed in adhesives, whi

Proper Orthogonal Decomposition Methods for Partial Differential Equations evaluates the potential applications of POD reduced-order numerical methods in increasing computational efficiency, decreasin

Storytelling For Virtual Reality serves as a bridge for students of new media and professionals working between the emerging world of VR technology and the art form of classical storytelling. Rather t

Storytelling For Virtual Reality serves as a bridge for students of new media and professionals working between the emerging world of VR technology and the art form of classical storytelling. Rather t

Computational methods for studies in Geophysics and Geodynamics are becoming increasingly more sophisticated. This book presents the latest developments in computational environments, grid computing t

Guiding engineering and technology students for over five decades, DeGarmo's Materials and Processes in Manufacturing provides a comprehensive introduction to manufacturing materials, systems, and pro

The continuing rapid growth in the size, load demand and complexity of the power network has led to the need for more sophisticated and intelligent techniques of controlling and optimizing the behavio

Process Systems Engineering for Pharmaceutical Manufacturing: From Product Design to Enterprise-Wide Decisions, Volume 41, covers the following process systems engineering methods and tools for the mo

Betts (Research and Technology Division, The Boeing Company) updates and expands his guide to numerically solving optimal estimation and control problems, drawing most of his examples from the aerospa

Among various applications, solar cells for photovoltaic solar energy and thin-film transistors for flat-panel display have been the two major driving forces for research and development of thin-film silicon materials and devices. In the last few years, the thin-film silicon community has mainly focused on thin-film silicon solar cells to address the issues of efficiency, manufacturing capability and manufacturing cost. This volume includes sixty-eight papers presented at Symposium A, 'Amorphous and Polycrystalline Thin-Film Silicon Science and Technology - 2011', which took place April 25-29, during the 2011 MRS Spring Meeting in San Francisco, California. The symposium covered the science and technology of thin-film silicon-based materials, reviewed recent progress, addressed the scientific and technical issues in the field and, this year, focused sessions were held on the topic of solar cell efficiency.

This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational

Materials management for remanufacturing is more complex than in traditional manufacturing, because of uncertainties in timing, quality and quantity of returns. This book proposes methods and models f

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases.

Practical solutions for sustainabilityIn this timely guide, one of the world's leaders in advanced building technology implementation shows architects and engineers proven and practical methods for im

This laboratory manual, published in cooperation with the International Society for Transgenic Technology (ISTT), provides almost all current methods that can be applied to the creation and analysis o

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to “learn” complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specific

Human factors is one of the critical issues in Information Technology, as industry realizes the need to change from technology-oriented goals to meet the demands of computer users. Human factors can help to improve Informatics Usability for real people, and to reduce the huge people-costs of human machine interactions. This book has been developed from lectures given at an Advanced Study course, sponsored by the European Science and Technology Research Committee of the Commission of the European Communities (CREST), and by the Science and Engineering Research Council (SERC) of the UK. It has three objectives: 1. To review the knowledge and methods available from the field of human factors for improving the usability of informatics systems; 2. To describe recent theoretical and methodological developments in the area; 3. To stimulate increased application of this expertise.

Human factors is one of the critical issues in Information Technology, as industry realizes the need to change from technology-oriented goals to meet the demands of computer users. Human factors can help to improve Informatics Usability for real people, and to reduce the huge people-costs of human machine interactions. This book has been developed from lectures given at an Advanced Study course, sponsored by the European Science and Technology Research Committee of the Commission of the European Communities (CREST), and by the Science and Engineering Research Council (SERC) of the UK. It has three objectives: 1. To review the knowledge and methods available from the field of human factors for improving the usability of informatics systems; 2. To describe recent theoretical and methodological developments in the area; 3. To stimulate increased application of this expertise.

Power grids, flexible manufacturing, cellular communications: interconnectedness has consequences. This remarkable book gives the tools and philosophy you need to build network models detailed enough to capture essential dynamics but simple enough to expose the structure of effective control solutions. Core chapters assume only exposure to stochastic processes and linear algebra at undergraduate level; later chapters are for advanced graduate students and researchers/practitioners. This gradual development bridges classical theory with the state-of-the-art. The workload model at the heart of traditional analysis of the single queue becomes a foundation for workload relaxations used in the treatment of complex networks. Lyapunov functions and dynamic programming equations lead to the celebrated MaxWeight policy along with many generalizations. Other topics include methods for synthesizing hedging and safety stocks, stability theory for networks, and techniques for accelerated simulation

The study of spatial processes and their applications is an important topic in statistics and finds wide application particularly in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing an introduction to the subject and to its applications. One of the themes of the book is the demonstration of how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and pseudo-likelihood. Professor Ripley also stresses the importance of edge effects and of lack of a unique asymptotic setting in spatial problems. Throughout, the author discusses the foundational issues posed and the difficulties, both computational and philosophical, which arise. The final chapters consider image restoration and segmentation methods and the averaging and summarising of images. Thus, the book will find wide appeal

This concise, accessible, and engaging handbook offers a companion for social work students to acquire professional and competency-based writing skills. Written by experienced educators, the book builds writing proficiency by introducing a social work-based guide to academic writing and professional communication. Each chapter addresses a specific area of social work writing and development, progressing from coursework and beginning fieldwork to practice-based assessments and reports. The authors integrate a series of scaffolded activities throughout for readers to cultivate awareness and further technique, and with sections explaining contemporary communication methods and common writing challenges, readers will be prepared to use technology to both strengthen their writing and ease the overall process.Excellent for use in courses across the social work curriculum and as a personal guide, The Handbook for Social Work Writing provides students with on-the-spot guidance for any type of

Dimensional metrology is an essential part of modern manufacturing technologies, but the basic theories and measurement methods are no longer sufficient for today's digitized systems. The information

This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal po

In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational h

In semiconductor-device fabrication processes, lithography technology is used to print circuit patterns on semiconductor wafers. The remarkable miniaturization of semiconductor devices has been made possible only because of the continuous progress in lithography technology. However, for the trend of ever-increasing miniaturization to continue a breakthrough in lithography technology is now needed. This book describes advanced techniques under development in Japan and elsewhere that represent the key to future semiconductor-device fabrication. The background to developments in lithography technology, trends in ULSI technology and future prospects are reviewed, and the requirements that future lithography technology must meet are described. Several important lithography methods, such as deep UV lithography, X-ray lithography, electron-beam lithography, and focused ion-beam lithography are described in detail by experts in each area. The principles underlying each of these methods are ill

Designed for courses in Probability and Statistics and/or Random Processes, this book integrates a modern approach to statistical methods, computer technology, and recent pedagogical trends into an in

If you need a book that relates the core principles of quantum mechanics to modern applications in engineering, physics, and nanotechnology, this is it. Students will appreciate the book's applied emphasis, which illustrates theoretical concepts with examples of nanostructured materials, optics, and semiconductor devices. The many worked examples and more than 160 homework problems help students to problem solve and to practise applications of theory. Without assuming a prior knowledge of high-level physics or classical mechanics, the text introduces Schrödinger's equation, operators, and approximation methods. Systems, including the hydrogen atom and crystalline materials, are analyzed in detail. More advanced subjects, such as density matrices, quantum optics, and quantum information, are also covered. Practical applications and algorithms for the computational analysis of simple structures make this an ideal introduction to quantum mechanics for students of engineering, physics, nan

This text is geared toward students who have an undergraduate degree or extensive coursework in engineering or the physical sciences and who wish to develop their understanding of the essential topics of applied mathematics. The methods covered in the chapters form the core of analysis in engineering and the physical sciences. Readers will learn the solutions, techniques, and approaches that they will use as academic researchers or industrial R&D specialists. For example, they will be able to understand the fundamentals behind the various scientific software packages that are used to solve technical problems (such as the equations describing the solid mechanics of complex structures or the fluid mechanics of short-term weather prediction and long-term climate change), which is crucial to working with such codes successfully. Detailed and numerous worked problems help to ensure a clear and well-paced introduction to applied mathematics. Computational challenge problems at the end of eac

Cutting-Edge CMOS VLSI Design for Manufacturability TechniquesThis detailed guide offers proven methods for optimizing circuit designs to increase the yield, reliability, and manufacturability of prod

The Institute for Mathematical Sciences at the National University of Singapore hosted a two-month research program on “Mathematical Theory and Numerical Methods for Computational Materials Simulation

Design and Applications of Nano materials for Sensors begins with an introductory contribution by the editors that: gives an overview of the present state of computational and theoretical methods for

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how t

This book introduces advanced methods of computational and information systems allowing readers to better understand the state-of-the-art design and implementation technology needed to maintain and en

Over the past several decades, computational approaches to studying strongly-interacting systems have become increasingly varied and sophisticated. This book provides a comprehensive introduction to state-of-the-art quantum Monte Carlo techniques relevant for applications in correlated systems. Providing a clear overview of variational wave functions, and featuring a detailed presentation of stochastic samplings including Markov chains and Langevin dynamics, which are developed into a discussion of Monte Carlo methods. The variational technique is described, from foundations to a detailed description of its algorithms. Further topics discussed include optimisation techniques, real-time dynamics and projection methods, including Green's function, reptation and auxiliary-field Monte Carlo, from basic definitions to advanced algorithms for efficient codes, and the book concludes with recent developments on the continuum space. Quantum Monte Carlo Approaches for Correlated Systems provides

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discov

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discov

Bringing together contributions on a diverse range of topics, this text explores the relationship between discrete and continuum mechanics as a tool to model new and complex metamaterials. Providing a comprehensive bibliography and historical review of the field, it covers mechanical, acoustic and pantographic metamaterials, discusses Naive Model Theory and Lagrangian discrete models, and their applications, and presents methods for pantographic structures and variational methods for multidisciplinary modeling and computation. The relationship between discrete and continuous models is discussed from both mathematical and engineering viewpoints, making the text ideal for those interested in the foundation of mechanics and computational applications, and innovative viewpoints on the use of discrete systems to model metamaterials are presented for those who want to go deeper into the field. An ideal text for graduate students and researchers interested in continuum approaches to the study