Sunday, March 25, 2012

[F562.Ebook] Download Ebook Virtual Instrumentation using LABVIEW, by Sanjay Gupta

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Virtual Instrumentation using LABVIEW, by Sanjay Gupta

Virtual instrumentation using labview is a pioneer text in the field of virtual instrumentation and also on labview 2009. This book serves the academic community as a literature and form of instruction on vi, and as a practical text for practicing technologists. As stalwarts in the field of education, the authors have also taken care to draw a parallel between programming in labview and in conventional languages. It is thus useful for both the beginner and the professional program developer.

  • Published on: 2010-05-24
  • Original language: English
  • Dimensions: 24.09" h x 1.30" w x 18.50" l, .64 pounds
  • Binding: Paperback

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Wednesday, March 21, 2012

[L696.Ebook] Download Black Inventors of America, by Jr. Mckinley Burt

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Black Inventors of America, by Jr. Mckinley Burt

  • Sales Rank: #4413982 in Books
  • Published on: 1989
  • Binding: Paperback
Features
  • Black Inventors of America
  • 250 pages
  • copyright 1989

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0 of 0 people found the following review helpful.
Five Stars
By pam
Great book

5 of 5 people found the following review helpful.
Out of Print, But Still Available
By C. Salser
This book was unique when it was first published in 1969. In that dat, the author knew much of what he claimed would not be believed, therefore it is illustrated with actual pages from the patent applications for many of the inventions discussed.
It is no longer available . . . under this name. This same book, however, can be found under its new name -- African-American Inventors, ISBN 0894203444.

1 of 2 people found the following review helpful.
Good Book
By Elizabeth Cooley
The so-called African American people were only taught in school the history about their slave masters and they never knew about the black Investors of America

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Sunday, March 11, 2012

[S427.Ebook] PDF Download Owned (The Society Pages)From Hartmann, Douglas (EDT)/ Uggen, Christopher (EDT)

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Owned (The Society Pages)From Hartmann, Douglas (EDT)/ Uggen, Christopher (EDT)

An introduction to the new social science of debt.

With contributions from leading scholars and a provocative collection of discussion topics and group activities, this innovative series provides an accessible and affordable entry point for strong sociological perspectives on topics of immediate social import and public relevance.

The fourth volume in the series, Owned, addresses the new social science of debt. “Core Contributions” pieces show how sociologists and other social scientists make sense of phenomena like student loans and court fees. Chapters in the “Cultural Contexts” section engage debt through cultural realms―ranging from Detroit’s crumbling infrastructure to global climate debt―that are often ignored or taken for granted. Finally, the “Critical Takes” chapters provide sociological commentary and reflection on credit, debt, and the American Dream.

  • Sales Rank: #2156973 in Books
  • Brand: Hartmann, Douglas (EDT)/ Uggen, Christopher (EDT)
  • Published on: 2015-01-02
  • Original language: English
  • Number of items: 1
  • Dimensions: 7.40" h x .40" w x 5.30" l, .0 pounds
  • Binding: Paperback
  • 224 pages

About the Author
Douglas Hartmann is in the sociology department at the University of Minnesota. His research interests focus on race and ethnicity, multiculturalism, popular culture (including sports and religion), and contemporary American society. He is co-editor of The Society Pages.

Christopher Uggen is in the sociology department at the University of Minnesota. He studies crime, law, and deviance, especially how former prisoners manage to put their lives back together. He is co-editor of The Society Pages.

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Thursday, March 8, 2012

[H811.Ebook] Download Ebook Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling (Topics in Biomedical Engineering)By

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This book fills a critical gap in biomedical data analysis in making the connection between signal processing and physiological modeling. Based on the premise that the use of signal processing techniques is predicated on explicit or implicit models, this book provides a foundation in systems analysis and signal processing techniques for physiological data. The book comprises two main parts: namely, signal processing techniques for linear systems, and physiological modeling. Beginning with a broad introduction to signals and systems, the book proceeds to contemporary techniques in digital signal processing. While maintaining continuity of mathematical concepts, the emphasis is on practical implementation and applications. The signal processing topics covered include Fourier transform, the wavelet transform, and optimal filtering techniques. The book presumes only knowledge of college mathematics and is suitable for a beginner in the subject; however, a student with a previous course in analog and digital signal processing will find that only a third of the book contains a bare treatment of classical signal processing. The extensive use of diagrams illustrates the graphical nature of modern signal processing, and provides easy descriptions of practical techniques and their shortcomings. Each chapter has a number of illustrative examples and exercises. The accompanying software provides exercises in convolution, sampling, Fourier analysis and wavelet decomposition that illustrate the use of these techniques as well as their shortcomings. The latter part of the book discusses techniques of physiological modeling, contrasting biophysical models with black-box models, and experimental procedures used in such modeling. Model-based data analysis including noise reduction and feature extraction in physiology are discussed in detail. Several numerical simulation exercises are also outlined for the student.

  • Sales Rank: #1749206 in Books
  • Published on: 2000-06-30
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.21" h x .81" w x 6.14" l, 1.45 pounds
  • Binding: Hardcover
  • 354 pages

Review
`The book....fills a void in available textbooks. It is ideally suited for a college senior or first year graduate course in bioengineering, physiology or biophysics. I recommend it.' James C. Lin, Professor of Bioengineering, University of Illinois at Chicago `The new book....is a delight to read. It is well organized, packed with useful analytical tools, and replete with relevant biomedical examples. Devasahayam is an articulate author who has taken pains to ensure that the material will be accessible to those with engineering as well as biological backgrounds. The book is highly recommended.' Gerald H. Pollack, Professor of Bioengineering, University of Washington `This book by Suresh R. Devasahayam is a wonderful introduction to signal processing and system modeling for students who are either pursuing or wished they had pursued a degree in biomedical engineering. The basic concepts of signal processing and system modeling are clearly explained and are elucidated with a number of exercises and applications.' Carlo De Luca, Director Neuromuscular Research Center, Boston University

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Monday, March 5, 2012

[F270.Ebook] Ebook Excel Data Analysis: Modeling and Simulation, by Hector Guerrero

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Why does the World Need―Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a desktop. Also, before spreadsheets, most substantial analytical work was done outside the classroom where the tools were; spreadsheets and personal computers moved the work into the classroom. Not only did it change how the analysis curriculum was taught, but it also empowered students to venture out on their own to explore new ways to use the tools. I can’t tell you how many phone calls, of?ce visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model. I have been teaching courses related to spreadsheet based analysis and modeling for about 25 years and I have watched and participated in the spreadsheet revolution.

  • Sales Rank: #604973 in Books
  • Brand: Brand: Springer
  • Published on: 2010-03-10
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.21" h x .81" w x 6.14" l, 1.49 pounds
  • Binding: Hardcover
  • 338 pages
Features
  • Used Book in Good Condition

Review

From the book reviews:

“It is real keeper for Data Analysts, who are working all day long with MS Excel … . the efforts of the author to make data analysis understandable and not boring are really remarkable! The existence of so many good examples … makes these 338 pages a really great book. … exercises after each chapter and their online solution may help any Excel Data Analyst to become better if he spends a few hours trying to solve them.” (Vitoshacademy.com, January, 2014)

From the Back Cover
This book is written for the students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skills―Data Analysis, Business Modeling, and Simulation of Complex Problems. The focus of the book is clearly on analysis of problems for decision making, yet detailed explanations regarding how to use Excel tools are provided. After many years of teaching and consulting, it is abundantly clear to me that for most students, a good example is worth its weight in gold. This book contains many excellent examples in each chapter, some simple and others more complex, and there is an abundance of exhibits to guide the student through the maze of steps necessary for each analysis. The content is quite diverse: • data presentation ― the Feng Shui of spreadsheets, effective communication and collaboration • data preparation ― import, scrub, manipulate data • data analysis ― statistical methods: descriptive, inferential, and predictive, Design of Experiments • modeling ― deterministic, probabilistic, What-if, Scenarios • simulation ― quantifying uncertainty, Monte Carlo Simulation • optimization ― constrained, Linear Programming, non-linear models, Goal Seek • Couple these features with detailed discussions of how to realistically organize and extract insight from complex problems, and I believe you have a unique educational combination in one book.

About the Author
Dr. Guerrero is a professor at Mason School of Business at the College of William and Mary, in Williamsburg, Virginia. He teaches in the areas of decision making, statistics, operations and business quantitative methods. He has previously taught at the Amos Tuck School of Business at Dartmouth College, and the College of Business of the University of Notre Dame. He is well known among his students for his quest to bring clarity to complex decision problems. He earned a Ph.D. Operations and Systems Analysis, University of Washington and a BS in Electrical Engineering and an MBA at the University of Texas. He has published scholarly work in the areas of operations management, product design, and catastrophic planning. Prior to entering academe, he worked as an engineer for Dow Chemical Company and Lockheed Missiles and Space Co. He is also very active in consulting and executive education with a wide variety of clients-- U.S. Government, International firms, as well as many small and large U.S. manufacturing and service firms. It is not unusual to find him relaxing on a quiet beach with a challenging Excel workbook and an excellent cabernet.

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14 of 16 people found the following review helpful.
Don't let my Pen Name make this review seem frivolous . . .
By Britcom-ing in America
I was a graduate student of Professor Guerrero at The College of William and Mary and have to recommend this book. For those unfortunates who did not have him as an instructor, this is a book that gives you the experience of spending time with him in the classroom. The practical application of Excel as a modeling and simulation tool is delivered in a conversational style that engages the reader and occasionally generates a chuckle. Yes, a chuckle in a text that includes the words Excel, Modeling and Simulation in the title. However, inbetween the chuckles is solid theory and application. It's a clever text.

I would recommend this book if only for the discussion of the feng shui of worksheet development - as users, we sometimes don't think through the design of the excel workbook. We build and link, build and link, build and link...

So, Senior Brain, I put my workbook in your hands...

5 of 5 people found the following review helpful.
[...]
By VitoshAcademy
This is a data analysis book, written with passion. It is real keeper for Data Analysts, who are working all day long with MS Excel and have to perform tasks such as "Tell me how much should my ticket entry cost, in order to obtain 50 000 EUR profit, considering the fact that we do not know how many people will enter" or simply "These are our expenses, find a way to optimize them... And find some relation between them". The book goes a few steps further in answering these questions: it provides a good working methodology for dealing with such cases and it introduces unpopular features of MS Excel, used only by experienced Data Analysts.

Furthermore, Excel Data Analysis is not only for Data Analysts with university education in statistics - it is written in a way to be understood by anyone with passion (or a task) for model creation. Basic statistical terms as "Chi-Square", "z-Test", "ANOVA", "Sensitivity Analysis", "Type of Distribution" are well explained with examples. Thus, the book is not just a boring statistics book (there are plenty of those available), but it goes beyond this - it shows you how to use all these statistical features in Excel Modeling and to put life into them. The examples in MS Excel are really fascinating and I personally enjoyed reading it.

What I personally learned from this book (and I am not ashamed to state it):

1. "What - If" feature in Excel:
Although I have some real work experience with Excel Data modeling, I did not know about the "What-If" options in the Data ribbon. Their functions would have been of use in 2-3 projects of mine. Anyway, I have managed to survive without them and to achieve my goals in another way. Here you may find a good presentation of the "Goal Seek" feature in Excel. Here you may find a good presentation of the "Goal Seek" feature in Excel.

2. The possibility for subtotals in filtering:
This is another unpopular & useful feature of Excel, which gives you some great possibilities to summarize data. Really useful, when you need some quick presentation and you do not want to go for a Pivot table for it.

3. Various useful ideas for MS Excel model design:
At first, I would like to point out the great idea of combining radio buttons, vertical scrollers and simple IF operator for excel modeling. Really, the tool simply takes one Excel tab and it looks simply beautiful. The fact, that it is really easy in creation and understandable only makes it better. It is an example of what the excel dashboards should be: simple, understandable and powerful.

At the end, I would like to clarify the following - the efforts of the author to make data analysis understandable and not boring are really remarkable! The existence of so many good examples, explained step by step is what makes these 338 pages a really great book. Last, but not least, the availability of exercises after each chapter and their online solution may help any Excel Data Analyst to become better if he spends a few hours trying to solve them.

2 of 2 people found the following review helpful.
Not quite professionally published. Good material but support for the user not adequate.
By Sojournalist
I took an operations research class that used another book which prominently featured and relied on the Frontline Solvers commercial solutions for Excel, which we had an educational license to use during the class. These add-ins were quite powerful although we experienced the limitations of the educational license even in that class.

Afterwards, I was interested in getting a book on the same subject matter that didn't rely on the commercial add-ins, and this book fit the bill. For the most part, the explanations are clear and the motivations are good. (I haven't completely read the whole thing, but I'm over halfway through it.)

Unfortunately, the book (book "system"?) has two major drawbacks that prevent me from giving it five stars. First, let me say that I have many Springer-Verlag technical books and most of them are topnotch quality, for which I gladly (well, reluctantly) pay top dollar. This one, however, lacks both an index (forgivable) and a companion website or place to download the example files (unpardonable sin!). Update: Professor Guerrero provides the material on his W&M site: http://masonweb.wm.edu/xldams/.

The reason I'm taking two full stars off for these infelicities is that NOWHERE in the book is the full data the examples use to be found. Screenshots are not complete, they focus in on what the text is talking about, but if you want the data to download and manipulate in your own machine, they are not to be found on the web or on Springer's website.

This is the second Springer book I've bought that features and/or needs a companion website and one wasn't provided. For the record and comparison purposes, Wiley's companion website for the book http://www.amazon.com/Management-Science-Art-Modeling-Spreadsheets/dp/1118582691/ref=sr_1_1?ie=UTF8&qid=1420580664&sr=8-1&keywords=management+science was excellent.

If you can pick up a copy through your library, two weeks is all you'll need with this. Apologies to all of Prof. Guerrero's students who rave on the book above; it's really rather pedestrian in execution. In his defense, some of that is Springer's responsibility.

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Saturday, March 3, 2012

[L271.Ebook] Download Ebook Statistical Mechanics of Solids (Monographs on the Physics and Chemistry of Materials), by Louis A. Girifalco

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Statistical Mechanics of Solids (Monographs on the Physics and Chemistry of Materials), by Louis A. Girifalco

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Statistical Mechanics of Solids (Monographs on the Physics and Chemistry of Materials), by Louis A. Girifalco

This monograph, suitable for use as an advanced text, presents the statistical mechanics of solids from the perspective of the material properties of the solid state. The statistical mechanics are developed as a tool for understanding properties and each chapter includes useful exercises to illustrate the topics covered. Topics discussed include the theory of the harmonic crystal, the theory of free electrons in metal and semiconductors, electron transport, alloy ordering, surfaces and polymers.

  • Sales Rank: #369534 in Books
  • Published on: 2003-07-31
  • Original language: English
  • Number of items: 1
  • Dimensions: 6.10" h x 1.00" w x 9.10" l, 1.66 pounds
  • Binding: Paperback
  • 544 pages

About the Author
Louis A. Girifalco is Professor of Materials Science at the University of Pennsylvania.

Most helpful customer reviews

1 of 1 people found the following review helpful.
Filling an existing gap
By Julio A. Alonso
This remarkable book is addressed to scientists interested in the properties of solids from the point of view of materials science. Statistical mechanics is applied to a broad set of topics of interest in this field and the book has the virtue of filling an existing gap. An earlier book on this subject was published by L. A. Girifalco thirty years ago (Statistical Physics of Materials, 1973). The present book updates the material and adds also a substantial body of novel topics that have vigorously grown and matured meanwhile.

The book grew out of a course that the author has been teaching at the University of Pennsylvania. The broad experience of L. A. Girifalco, acquired after many years of research in materials science applying the techniques of statistical mechanics (metallic and graphitic materials, defects in solids and diffusion represent some of the subjects investigated by the author) has provided him with the best background to make a wise selection of topics of importance and broad interest. In addition the contact with the students has allowed the author to optimize the pedagogical aspects. So this book is highly recommended for graduate courses, and students will find it extremely useful to get a comprehensive and updated overview of the field.

The first three chapters (approximately one fifth of the book) introduce the basic concepts of thermodynamics and statistical mechanics. This part is needed to make the volume self-contained. Even more, those three chapters, where the fundamental concepts are presented clearly at an accessible mathematical level, could form the core of a short course on basic statistical mechanics for physicists, chemists or engineers. The thermal properties of crystals arising from the vibration of the atoms are treated in Chapters 4 and 5, focusing on harmonic and anharmonic effects, respectively. The equilibrium and transport properties of electrons in metals and semiconductors are considered in Chapters 6 and 7, taking as a basis the free electron model. Classic examples of cooperative phenomena, as order-disorder transitions in alloys and magnetism, are treated in Chapters 8 and 9. The theory of phase equilibria and phase transformations is presented in Chapter 10. Sublimation, melting and the formation of solid solutions in alloys are some of the subjects considered. Critical exponents characterising how of physical properties vary with temperature near a phase transition are presented in Chapter 11, with its explanation by renormalization group theory. The surface of solid bodies is the region of contact with the outer medium and controls many technological properties of the solids. The statistical mechanics of surface and interface effects is treated in Chapter 12, focusing on adsorption, adhesion and segregation. The theory of the random motion of a particle through space, treated in Chapter 13, has a variety of uses: important applications to molecular and atomic diffusion and to the statistics of long chain molecules can be highlighted. In fact, linear polymer chains are treated in Chapter 14. The last two chapters of the book then develop the statistical mechanics of point defects (vacancies and interstitials in solids, substitutional impurities in dilute alloys) and diffusion of point defects. The book also contains several useful mathematical appendixes.

In conclusion this book presents a comprehensive and original treatment of the statistical mechanics of solids that will be useful not only to graduate students and teachers, but also to any beginner or experienced scientist interested in this subject.

0 of 0 people found the following review helpful.
Excellent Textbook for Materials Scientists and Engineers
By David O. Welch
This is an excellent, well-tested textbook on statistical mechanics for materials scientists and engineers, both graduate students and practitioners who need a refresher on how to apply useful theoretical methods,such as mean-field models of phase transitions,to the analysis of experimental data or, perhaps, want to learn something about new developments in statistical mechanics which are not often covered in materials science and engineering courses, such as critical exponents and the renormalization group. You might wonder why there is a need for yet another textbook on statistical mechanics. Well, this is a book primarily for those interested in understanding or estimating the properties of solids, rather than dwelling on the foundations of statistical mechanics, and there is not another book quite like it. It uses simple mathematics and makes much, fruitful use of simple methods like mean-field theory and simple ways of making improvements thereto. It begins with three brilliantly explained, succinctly written chapters intoducing, or reviewing, the basic principles of thermodynamics and statistical mechanics, and then proceeds to cover their applications to a wide range of topics in the materials science of metals, semiconductors, and polymers. Some applications include bulk thermodynamic properties, surfaces, transport properties of electrons, phonons, and atoms,as well as phase transitions. There are eight appendices where helpful mathematical and methodological details are covered so that the expository prose in the main chapters does not get bogged down in unnecessary details. There are some useful topics covered in this book which are not easily found in other texts: for example, there are three chapters with a careful exposition of the foundations, and some applications, of the thermodynamics and kinetics of lattice defects, a topic of much importance for materials scientists and engineers; the useful and versatile Girifalco-Good method for estimating energies of interfacial adhesion is described; and the Kirkwood second-moment method for going beyond the mean-field approximation in order-disorder is derived and utilized to introduce the Landau theory of phase transitions. These are a few examples of useful topics for materials scientists not readily found elsewhere. There are also illuminating exercises at the end of each chapter. Professor Girifalco is a gifted pedagogical writer, and he has polished much of this material in his courses in the Department of Materials Science and Engineering at the University of Pennsylvania. I myself has used several chapters of this book as reference material for an advanced graduate seminar in the modeling of phase transitions in materials, and they were very successful. I highly recommend this book.

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