Digital Cities: Technologies, Experiences, and Future Perspectives (Lecture Notes in Computer Science)

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On the way towards the Information Society, global networks such as the Internet, together with mobile computing, have made wide-area computing over virtual communities a reality. Digital city projects, with the goal of building platforms to support community networking, are going on worldwide.
This is the first book devoted to digital cities. It is based on an international symposium held in Kyoto, Japan, in September 1999. The 34 revised full papers presented were carefully selected for inclusion in the book; they reflect the state of the art in this exciting new field of interdisciplinary research and development. The book is divided into parts on design and analysis, digital city experiments, community network experiments, applications, visualization technologies, mobile technologies, and social interaction and communityware.

Digital Cities: Technologies, Experiences, and Future Perspectives (Lecture Notes in Computer Science) Review

i gave this 1 4 stars mainly because i was just happy to find a book that specificlly deals with this slightly esoteric subject. although i think its OVER PRICED, i am still very happy with this purchase, it is a good resource for digital city projects, out lining the major goals, problems, achievments :) and gives clues for future trends. the pros; includes hard to find & usefull info on real projects (not the usual theoretical bla bla). intersting accounts from various points of view on this topic (some read like a press relaese/ marketing breif, some like an academic report) the cons: low productoin value (for the price) the paper is cheap,annoying typos -some one forgot to proof read, un -even quality-some of the projects presented arnt related to the subject closely enough, lack of editing focus or statement, and most projects are from 1999 n beforebottom line- if ur intu this topic, buy this book, ull b happy to have the info at hand but dont expect anything more than what it says it is- a collectin of lecture notes. some inspiring some dull. :) & thank u.... Help other customers find the most helpful reviews Was this review helpful to you? Yes No Report abuse | PermalinkComment�Comment

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Protein Analysis and Purification: Benchtop Techniques

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This comprehensive, practical, and user-friendly manual is designed to be a practical progression of experimental protocols that an inexperienced investigator may follow when embarking on a biochemical or biotechnology project. It will also appeal to experienced researches and graduate students as a benchtop handbook which, without sacrificing scientific concepts, maintains the spirit of experimentation.

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Protein Analysis and Purification: Benchtop Techniques Review

This is a model for all protocol lab manuals. It is clear, precise, and well done. Incorporates the experiences of the authors, which are used to perfect the assays and protocols and minimize insufficient results and data. Troubleshooting tips are useful and original. Truly a necessary benchtop reference for the serious researcher.

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Applied Regression Modeling

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Praise for the First Edition

"The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." � �The American Statistician

Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications.

The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling.

In addition, the Second Edition features clarification and expansion of challenging topics, such as:

• Transformations, indicator variables, and interaction
• Testing model assumptions
• Nonconstant variance
• Autocorrelation
• Variable selection methods
• Model building and graphical interpretation

Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos.

With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.

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Applied Regression Modeling Review

This book is extremely well produced. The combination of thoughtful examples, excellent real-world datasets, good exercise problems with hints to help you get started and guidance for using the most common software packages (including open-source R) make this a very thorough, self-contained introduction to linear regression. There is a strong emphasis on understanding, application and interpretation. The writing style is crystal clear. It is an ideal tool for independent learning - just follow along with the text using the datasets available from the website & your favorite statistical analysis software. This is the best elementary, practical introduction to linear regression that I have come across, well worth the investment!

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Electronic Properties of Materials

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This text on the electrical, optical, magnetic, and thermal properties of materials stresses concepts rather than mathematical formalism. Suitable for advanced undergraduates, it is intended for materials and electrical engineers who want to gain a fundamental understanding of alloys, semiconductor devices, lasers, magnetic materials, and so forth. The book is organized to be used in a one-semester course; to that end each section of applications, after the introduction to the fundamentals of electron theory, can be read independently of the others. Many examples from engineering practice serve to provide an understanding of common devices and methods. Among the modern applications covered are: high-temperature superconductors, optoelectronic materials, semiconductor device fabrication, xerography, magneto-optic memories, and amorphous ferromagnetics. The fourth edition has been revised and updated with an emphasis on the applications sections, which now cover devices of the next generation of electronics.

Electronic Properties of Materials Review

This is an excellent text for every electrical engineering student whether graduate or undergraduate. I found the information to be clear and concise which made the concepts easily manageable. The use of mathematical formulas are placed in such a way as to aid with the reading rather than to be overbearing as other solid-state physics texts can be. The author does a great job in sectioning the book into parts, thereby making it easier to focus on a particular area of interest without having to hunt for the deisred information. For practicing engineers, this is a good reference book, especially if you are looking to gain a further understanding of device physics.

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Bioelectrical Signal Processing in Cardiac and Neurological Applications (Biomedical Engineering)

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Biomedical Engineers, Electrical Engineers, Signal Processing Engineers, Electrocardiologists and other medical professionals involved in biomedical engineering research and biomedical instrument/device development.

Bioelectrical Signal Processing in Cardiac and Neurological Applications (Biomedical Engineering) Review

I am using this book as a primary textbook in a Biomedical Engineering undergraduate course on Biomedical signal analysis. The students in this class come with a fairly good background in linear systems, stochastic processes and physiology, and the purpose of the course is to integrate this knowledge, and actually apply it to real-world statistical biomedical signals. Previous iterations of the course relied on a general statistical signals book (Bendat & Piersol), together with physiological examples provided by the instructor, since physiological signals books were too shallow. The current book, however, elegantly integrates the statistical signal analysis topics with the relevant biomedical applications, and it became an obvious choice. Moreover, unlike general engineering textbooks, this book doesn't shy away from methods for treating nonstationary signals (segmentation, time-frequency analysis, wavelets, detection...), as these are so fundamental in characterizing biomedical signals. Such topics are typically treated in a multitude of specialized books, and are therefore difficult to integrate coherently into a short course.

To improve: since the book's focus is on EEG and ECG, it could be great if the authors added a chapter on source localization/inverse problems, which arise in both systems. Although this is a huge topic in its own, one could do some basic justice to this important topic in a limited space as well, and thereby introduce students to ill-posed problems and their regularization. I was also slightly dissapointed that there is very little on error bounds in compound estimates (correlation and spectral density functions).

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How to Reduce the Cost of Software Testing

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Plenty of software testing books tell you how to test well; this one tells you how to do it while decreasing your testing budget. A series of essays written by some of the leading minds in software testing, How to Reduce the Cost of Software Testing provides tips, tactics, and techniques to help readers accelerate the testing process, improve the performance of the test teams, and lower costs. The distinguished team of contributors—that includes corporate test leaders, best paper authors, and keynote speakers from leading software testing conferences—supply concrete suggestions on how to find cost savings without sacrificing outcome. Detailing strategies that testers can immediately put to use to reduce costs, the book explains how to make testing nimble, how to remove bottlenecks in the testing process, and how to locate and track defects efficiently and effectively. Written in language accessible to non-technical executives, as well as those doing the testing, the book considers the latest advances in test automation, ideology, and technology. Rather than present the perspective of one or two experts in software testing, it supplies the wide-ranging perspectives of a team of experts to help ensure your team can deliver a completed test cycle in less time, with more confidence, and reduced costs.

How to Reduce the Cost of Software Testing Review

I clumsily began software testing after two previous successful careers, as a math teacher and a tax analyst. This book shored up some of my best testing practices and that of my colleagues. It should be required reading for anyone in a software development life-cycle.

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