You could buy a dinky, ready-made kit with a short zip line for kids, but why not make your own industrial-strength zip line that support the heaviest of neighbours? It's a fun project you can tackle in a weekend. You can order all the parts on the web for less then $300.
Other than the promise of fame and fortune? Truth be told, I had to be convinced by some very persuasive friends and colleagues to undertake such a project. In the end, I decided to write a book for those people who felt that color management was too difficult—in other words, a very large audience. There are a number of excellent books on the subject of color management; some written by good friends! I wanted to write a book, with a number of self-paced tutorials, to help readers not only understand how a process works but what buttons to press.
My analogy (I am big on analogies, as you will see) was that of someone who has to learn how to become a good driver. Although it is not necessary to understand how an internal combustion engine works, let alone how to rebuild one in order to drive an automobile, having some familiarity with the mechanics of an automobile can beneficial. When the battery in your car dies, it is helpful to know where the battery is located and how to jump-start the vehicle. Mechanics, whether in automotives or in color management, can’t be totally ignored. There is a fine line between understanding color theory and simply using the color management tools available to get acceptable results. This fine balance became my quest for the Holy Grail of color management in book form, geared toward those who need to spend the majority of their time getting actual work accomplished.
My goal in this book is to distill the complexities of color management as much as possible so that you can get on with creating and printing images. If you happen to be the kind of person that just has to know precisely how everything works, you will find a list of excellent resources on both color management and color theory in the Web Sites listing in the back of the book. There are many web sites where you’ll find “color geeks,” as I affectionately like to call them, in endless discussions of how many ICC profiles can dance on the head of a pin.
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This book presents the basic anatomy needed to interpret modern sectional images.
In making a diagnosis from sectional images, even experienced diagnosticians must adapt their thinking to the sectional portrayal of anatomic features. The Pocket Atlas of Sectional Anatomy aims to facilitate this process by presenting the two modalities that have the greatest practical importance in modern sectional imaging: computed tomography and magnetic resonance imaging.
The importance of these modalities rests partly on their high resolution. So many of the images were produced with 3-tesla instruments. We wish to express our gratitude to the manufacturers, Siemens and Philips.
We have attempted to provide vivid, comprehensive coverage of sectional anatomic details while still making the book compact and easy to use. The four-color illustrations were considered an essential part of this goal to maintain clarity despite the quantity of information.
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- Homemade-Wood-Lathe.pdf
- Wood Finishing.pdf
- Wood.Workers-Spring-2008.pdf
- WoodMagazine194-July 2008.pdf
- Woodsmith_32_CountryClassic.pdf
- WoodworkersHandbook.pdf
- WoodworkerStuff.rar
- Woodworking - So You Want To Start Woodturning.pdf
- Woodworking Plans - How To Build A Pool Table.pdf
Maybe you heard billiar popular games, 8 ball, 9 ball or 15 ball. How actual game rules? What is the difference? How do you win or whatever which may be prohibited on the game? Is there a type of game other than the 8 ball, 9 ball or 15 ball? For details please read the ebook below.
Statistical data analysis is about studying data – graphically or via more formal methods. Exploratory Data Analysis (EDA) techniques (Tukey, 1977) provide many tools that transfer large and cumbersome data tabulations into easy to grasp graphical displays which are widely independent of assumptions about the data. They are used to “visualise” the data. Graphical data analysis is often criticised as non-scientific because of its apparent ease. This critique probably stems from many scientists trained in formal statistics not being aware of the power of graphical data analysis.
Occasionally, even in graphical data analysis mathematical data ransformations are useful to improve the visibility of certain parts of the data. A logarithmic transformation would be a typical example of a transformation that is used to reduce the influence of unusually high values that are far removed from the main body of data.
Graphical data analysis is a creative process, it is far from simple to produce informative graphics. Among others, choice of graphic, symbols, and data subsets are crucial ingredients for gaining an understanding of the data. It is about iterative learning, from one graphic to the next until an informative presentation is found, or as Tukey (1977) said “It is important to understand what you can do before you learn to measure how well you seem to have done it”.
However, for a number of purposes graphics are not sufficient to describe a given data set. Here the realms of descriptive statistics are entered. Descriptive statistics are based on model assumptions about the data and thus more restrictive than EDA. A typical model assumption used in descriptive statistics would be that the data follow a normal distribution. The normal distribution is characterised by a typical bell shape (see Figure 4.1 upper left) and depends on two parameters, mean and variance (Gauss, 1809). Many natural phenomena are described by a normal distribution. Thus this distribution is often used as the basic assumption for statistical methods and estimators. Statisticians commonly assume that the data under investigation are a random selection of many more possible observations that altogether follow a normal distribution. Many formulae for statistical calculations, e.g., for mean, standard deviation and correlation are based on a model. It is always possible to use the empirical data at hand and the given statistical formula to calculate “values”, but only if the data follow the model will the values be representative, even if another random sample is taken. If the distribution of the samples deviates from the shape of the model distribution, e.g., the bell shape of the normal distribution, statisticians will often try to use transformations that force the data to approach a normal distribution. For environmental data a simple log-transformation of the data will often suffice to approach a normal distribution. In such a case it is said that the data come from a lognormal distribution.
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ArtofMasking.pdf, Billboard.pdf, Cartoon.pdf, FundamentalDesign.pdf,
Invitation.pdf, LogoDesBrush.pdf, RealDraw-Bike.pdf, RealisticMeshFill.pdf
ReproArtwork.pdf, SalmonFly.pdf, TextilePatt.pdf, Vintage-TShirt.pdf,
VinylCut.pdf, CorelDRAW Graphics Suite X4.pdf
The cost of materials varies considerably both nation-wide and locally, and shopping around usually pays dividends. Making your own furnlture can never be cheap, but if you compare the cost of any of the projects in this book with an item of similar quality in your local store, you will see that you are saving quite a lot. Another way of keeping costs down is to buy old furniture, which looks superb when renovated. We spent some time in the television series renovating an old dining table and a set of chairs, and the process described in this book.
Making your own furniture can become a life-long hobby. You start by making one or two things that are absolutely vital for the house, then you make something just for fun and after that you are hooked. We've been hooked for years and as you turn the pages of this book, we hope that you will find something that attracts you and that you will join us in the pleasure of making furniture that is really your own.
Woodcarving covers many different techniques and tools, but here I concentrate on carving with chisels. Chain saws, angle grinders and other machines are referred to as useful aids, particularly when roughing out a carving, but the greatest skill and sense of achievement comes from carving with chisels. The best way to learn carving is by watching it being demonstrated and then practising under the eye of a constructively critical teacher. This book is therefore intended only as a guide, and it will he seen that for all but the first two projects - chip carving and the carving of mouldings.
