This exciting new handbook investigates the characterization of surfaces. It emphasizes experimental techniques for imaging of solid surfaces and theoretical strategies for visualization of surfaces, areas in which rapid progress is currently being made. This comprehensive, unique volume is the ideal reference for researchers needing quick access to the latest developments in the field and an excellent introduction to students who want to acquaint themselves with the behavior of electrons, atoms, molecules, and thin-films at surfaces. It's all here, under one cover! The Handbook of Surface Imaging and Visualization is filled with sixty-four of the most powerful techniques for characterization of surfaces and interfaces in the material sciences, medicine, biology, geology, chemistry, and physics. Each discussion is easy to understand, succinct, yet incredibly informative. Data illustrate present research in each area of study. A wide variety of the latest experimental and theoretical approaches are included with both practical and fundamental objectives in mind. Key references are included for the reader's convenience for locating the most recent and useful work on each topic. Readers are encouraged to contact the authors or consult the references for additional information. This is the best ready reference available today. It is a perfect source book or supplemental text on the subject.

This exciting new handbook investigates the characterization of surfaces. It emphasizes experimental techniques for imaging of solid surfaces and theoretical strategies for visualization of surfaces, areas in which rapid progress is currently being made. This comprehensive, unique volume is the ideal reference for researchers needing quick access to the latest developments in the field and an excellent introduction to students who want to acquaint themselves with the behavior of electrons, atoms, molecules, and thin-films at surfaces. It's all here, under one cover! The Handbook of Surface Imaging and Visualization is filled with sixty-four of the most powerful techniques for characterization of surfaces and interfaces in the material sciences, medicine, biology, geology, chemistry, and physics. Each discussion is easy to understand, succinct, yet incredibly informative. Data illustrate present research in each area of study. A wide variety of the latest experimental and theoretical approaches are included with both practical and fundamental objectives in mind. Key references are included for the reader's convenience for locating the most recent and useful work on each topic. Readers are encouraged to contact the authors or consult the references for additional information. This is the best ready reference available today. It is a perfect source book or supplemental text on the subject.

This textbook introduces the “Fundamentals of Multimedia”, addressing real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable students to apply their existing skills to address problems in multimedia. Fully revised and updated, this new edition now includes coverage of such topics as 3D TV, social networks, high-efficiency video compression and conferencing, wireless and mobile networks, and their attendant technologies. Features: presents an overview of the key concepts in multimedia, including color science; reviews lossless and lossy compression methods for image, video and audio data; examines the demands placed by multimedia communications on wired and wireless networks; discusses the impact of social media and cloud computing on information sharing and on multimedia content search and retrieval; includes study exercises at the end of each chapter; provides supplementary resources for both students and instructors at an associated website.

Observing writing: Insights from Keystroke Logging and Handwriting is a timely volume appearing twelve years after the Studies in Writing volume Computer Keystroke Logging and Writing (Sullivan & Lindgren, 2006). The 2006 volume provided the reader with a fundamental account of keystroke logging, a methodology in which a piece of software records every keystroke, cursor and mouse movement a writer undertakes during a writing session. This new volume highlights current theoretical and applied research questions in keystroke logging and handwriting research that observes writing. In this volume, contributors from a range of disciplines, including linguistics, psychology, neuroscience, modern languages, and education, present their research that considers the cognitive and socio-cultural complexities of writing texts in academic and professional settings.

Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Systems Engineering is gaining importance in the high-tech industry with systems like digital single-lens reflex cameras, medical imaging scanners, and industrial production systems. Such systems require new methods that can handle uncertainty in the early phases of development, that systems engineering can provide. This book offers a toolbox approach by presenting the tools and illustrating their application with examples. This results in an emphasis on the design of systems, more than on analysis and classical systems engineering. The book is useful for those who need an introduction to system design and engineering, and those who work with system engineers, designers and architects.