TUGBOAT Volume 34, Number 2 / 2013
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Download Fedra Sans Bold
Download fedra sans bold click here to download Download Fedra Sans Std Bold For Free, View Sample Text, Rating And More On www.doorway.ru Download Fedra Sans Bold For Free, View Sample Text, Rating And More On www.doorway.ru Download Fedra Sans Expert Bold For Free, View Sample Text, Rating And More On www.doorway.ru Download Fedra Sans SC Bold For Free, View Sample Text, Rating And More On www.doorway.ru Download fedra sans std bold font with bold style. Download free fonts for Mac, Windows and Linux. All fonts are in TrueType format. Download fedra sans std bold font for Windows, Linux and Mac free at www.doorway.ru - database of around free OpenType and TrueType. Fedra Sans Book ItalicMacromedia Fontographer 4. 1 Fedra Sans Book ItalicFedra Sans Book ItalicMacromedia Fontographer 4. 1 Fedra Sans Pro-Bold. Download OTF. Similar. Fedra Sans Pro-Bold Italic · Fedra Sans Pro Light Light · Fedra Sans Pro Normal Normal · Fedra Sans Pro-Book. Fedra Sans was originally commissioned by Paris-based Ruedi Baur Integral Design and developed as a corporate font for Bayerische Rück, a German. Fedra Sans: Fedra Sans is a contemporary sans serif, highly legible, font Fedra Sans Medium Italic px Fedra Sans Bold Italic px . Is there any reason to make new fonts when there are so many already available for downloading? Fedra Sans is a typeface designed by Peter Bil'ak, and is available for Desktop. Try, buy and download these fonts now! Bold SC Italic. Büroflächen. Bold TF. Font Fedra Sans Std Normal font download free at www.doorway.ru, the largest collection of cool fonts for Fedra Sans Std Bold Italic font. -
WORDS MADE FLESH Code, Culture, Imagination Florian Cramer
WORDS MADE FLESH Code, Culture, Imagination Florian Cramer Me dia De s ign Re s e arch Pie t Z w art Ins titute ins titute for pos tgraduate s tudie s and re s e arch W ille m de Kooning Acade m y H oge s ch ool Rotte rdam 3 ABSTRACT: Executable code existed centuries before the invention of the computer in magic, Kabbalah, musical composition and exper- imental poetry. These practices are often neglected as a historical pretext of contemporary software culture and electronic arts. Above all, they link computations to a vast speculative imagination that en- compasses art, language, technology, philosophy and religion. These speculations in turn inscribe themselves into the technology. Since even the most simple formalism requires symbols with which it can be expressed, and symbols have cultural connotations, any code is loaded with meaning. This booklet writes a small cultural history of imaginative computation, reconstructing both the obsessive persis- tence and contradictory mutations of the phantasm that symbols turn physical, and words are made flesh. Media Design Research Piet Zwart Institute institute for postgraduate studies and research Willem de Kooning Academy Hogeschool Rotterdam http://www.pzwart.wdka.hro.nl The author wishes to thank Piet Zwart Institute Media Design Research for the fellowship on which this book was written. Editor: Matthew Fuller, additional corrections: T. Peal Typeset by Florian Cramer with LaTeX using the amsbook document class and the Bitstream Charter typeface. Front illustration: Permutation table for the pronounciation of God’s name, from Abraham Abulafia’s Or HaSeichel (The Light of the Intellect), 13th century c 2005 Florian Cramer, Piet Zwart Institute Permission is granted to copy, distribute and/or modify this document under the terms of any of the following licenses: (1) the GNU General Public License as published by the Free Software Foun- dation; either version 2 of the License, or any later version. -
B.Casselman,Mathematical Illustrations,A Manual Of
1 0 0 setrgbcolor newpath 0 0 1 0 360 arc stroke newpath Preface 1 0 1 0 360 arc stroke This book will show how to use PostScript for producing mathematical graphics, at several levels of sophistication. It includes also some discussion of the mathematics involved in computer graphics as well as a few remarks about good style in mathematical illustration. To explain mathematics well often requires good illustrations, and computers in our age have changed drastically the potential of graphical output for this purpose. There are many aspects to this change. The most apparent is that computers allow one to produce graphics output of sheer volume never before imagined. A less obvious one is that they have made it possible for amateurs to produce their own illustrations of professional quality. Possible, but not easy, and certainly not as easy as it is to produce their own mathematical writing with Donald Knuth’s program TEX. In spite of the advances in technology over the past 50 years, it is still not a trivial matter to come up routinely with figures that show exactly what you want them to show, exactly where you want them to show it. This is to some extent inevitable—pictures at their best contain a lot of information, and almost by definition this means that they are capable of wide variety. It is surely not possible to come up with a really simple tool that will let you create easily all the graphics you want to create—the range of possibilities is just too large. -
Typography One Typeface Classification Why Classify?
Typography One typeface classification Why classify? Classification helps us describe and navigate type choices Typeface classification helps to: 1. sort type (scholars, historians, type manufacturers), 2. reference type (educators, students, designers, scholars) Approximately 250,000 digital typefaces are available today— Even with excellent search engines, a common system of description is a big help! classification systems Many systems have been proposed Francis Thibaudeau, 1921 Maximillian Vox, 1952 Vox-ATypI, 1962 Aldo Novarese, 1964 Alexander Lawson, 1966 Blackletter Venetian French Dutch-English Transitional Modern Sans Serif Square Serif Script-Cursive Decorative J. Ben Lieberman, 1967 Marcel Janco, 1978 Ellen Lupton, 2004 The classification system you will learn is a combination of Lawson’s and Lupton’s systems Black Letter Old Style serif Transitional serif Modern Style serif Script Cursive Slab Serif Geometric Sans Grotesque Sans Humanist Sans Display & Decorative basic characteristics + stress + serifs (or lack thereof) + shape stress: where the thinnest parts of a letter fall diagonal stress vertical stress no stress horizontal stress Old Style serif Transitional serif or Slab Serif or or reverse stress (Centaur) Modern Style serif Sans Serif Display & Decorative (Baskerville) (Helvetica) (Edmunds) serif types bracketed serifs unbracketed serifs slab serifs no serif Old Style Serif and Modern Style Serif Slab Serif or Square Serif Sans Serif Transitional Serif (Bodoni) or Egyptian (Helvetica) (Baskerville) (Rockwell/Clarendon) shape Geometric Sans Serif Grotesk Sans Serif Humanist Sans Serif (Futura) (Helvetica) (Gill Sans) Geometric sans are based on basic Grotesk sans look precisely drawn. Humanist sans are based on shapes like circles, triangles, and They have have uniform, human writing. -
Bitstream Fonts in May 2005 at Totaling 350 Font Families with a Total of 1357 Font Styles
Bitstream Fonts in May 2005 at http://www.myfonts.com/fonts/bitstream totaling 350 font families with a total of 1357 font styles The former Bitstream typeface libraries consisted mainly of forgeries of Linotype fonts and of ITC fonts. See the list below on the pages 24–29 about the old Bitstream Typeface Library of 1992. The 2005 Bitstream typeface library contains the same forgeries of Linotype fonts as formerly and also the same ITC fonts, but it also includes a lot of new mediocre „rubbish fonts“ (e.g. „Alphabet Soup“, „Arkeo“, „Big Limbo“), but also a few new quality fonts (e.g. „Drescher Grotesk“, „Prima Serif“ etc.). On the other hand, a few old fonts (e.g. „Caxton“) were removed. See the list below on pages 1–23. The typeface collection of CorelDraw comprises almost the entire former old Bitstream typeface library (see the list below on pages 24–29) with the following exceptions: 1. A few (ca. 3) forgeries of Linotype fonts are missing in the CorelDraw font collections, e.g. the fonts „Baskerville No. 2“ (= Linotype Baskerville No. 2), „Italian Garamond“ (= Linotype Garamond Simoncini), and „Revival 555“ (= Linotype Horley Old Style). 2. A lot (ca. 11) of ITC fonts are not contained in the CorelDraw font collections, e.g. „ITC Berkeley Oldstyle“, „ITC Century“, „ITC Clearface“, „ITC Isbell“, „ITC Italia“, „ITC Modern No. 216“, „ITC Ronda“, „ITC Serif Gothic“, „ITC Tom’s Roman“, „ITC Zapf Book“, and „ITC Zapf International“. Ulrich Stiehl, Heidelberg 3-May 2005 Aachen – 2 styles Ad Lib™ – 1 styles Aerospace Pi – 1 styles Aldine -
Multimedia Foundations Glossary of Terms Chapter 8 – Text
Multimedia Foundations Glossary of Terms Chapter 8 – Text Ascender Any part of a lowercase character that extends above the x-height, such as in the vertical stem of the letter b or h. Baseline And imaginary plane where the bottom edge of each character’s main body rests. Baseline Shift Refers to shifting the base of certain characters (up or down) to a new position. Capline An imaginary line denoting the tops of uppercase letters. Counter The enclosed or partially enclosed open area in letters such as O and G. Descender Any part of a character that extends below the baseline; such as in the bottom stroke of a y or p. Flush Left The alignment of text along a common left-edged line. Font Family A collection of related fonts – all of the bolds, italics, and so forth, in their various sizes. Gridline A matrix of evenly spaced vertical and horizontal lines that are superimposed overtop of the design window as a visual aid for aligning objects. Justification The term used when both the left and right edges of a paragraph are vertically aligned. Kerning A technique that selectively varies the amount of space between a single pair of letters and accounts for letter shape; allowing letters like A and V to extend into one another’s virtual blocks. Leading A term used to define the amount of space between vertically adjacent lines of text. Legibility Refers to a typeface’s characteristics and can change depending on font size. The more legible a typeface, the easier it is at a glance to distinguish and identify letters, numbers, and symbols. -
Dynamic and Interactive R Graphics for the Web: the Gridsvg Package
JSS Journal of Statistical Software MMMMMM YYYY, Volume VV, Issue II. http://www.jstatsoft.org/ Dynamic and Interactive R Graphics for the Web: The gridSVG Package Paul Murrell Simon Potter The Unversity of Auckland The Unversity of Auckland Abstract This article describes the gridSVG package, which provides functions to convert grid- based R graphics to an SVG format. The package also provides a function to associate hyperlinks with components of a plot, a function to animate components of a plot, a function to associate any SVG attribute with a component of a plot, and a function to add JavaScript code to a plot. The last two of these provides a basis for adding interactivity to the SVG version of the plot. Together these tools provide a way to generate dynamic and interactive R graphics for use in web pages. Keywords: world-wide web, graphics, R, SVG. 1. Introduction Interactive and dynamic plots within web pages are becomingly increasingly popular, as part of a general trend towards making data sets more open and accessible on the web, for example, GapMinder (Rosling 2008) and ManyEyes (Viegas, Wattenberg, van Ham, Kriss, and McKeon 2007). The R language and environment for statistical computing and graphics (R Development Core Team 2011) has many facilities for producing plots, and it can produce graphics formats that are suitable for including in web pages, but the core graphics facilities in R are largely focused on static plots. This article describes an R extension package, gridSVG, that is designed to embellish and transform a standard, static R plot and turn it into a dynamic and interactive plot that can be embedded in a web page. -
The Unicode Cookbook for Linguists: Managing Writing Systems Using Orthography Profiles
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2017 The Unicode Cookbook for Linguists: Managing writing systems using orthography profiles Moran, Steven ; Cysouw, Michael DOI: https://doi.org/10.5281/zenodo.290662 Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-135400 Monograph The following work is licensed under a Creative Commons: Attribution 4.0 International (CC BY 4.0) License. Originally published at: Moran, Steven; Cysouw, Michael (2017). The Unicode Cookbook for Linguists: Managing writing systems using orthography profiles. CERN Data Centre: Zenodo. DOI: https://doi.org/10.5281/zenodo.290662 The Unicode Cookbook for Linguists Managing writing systems using orthography profiles Steven Moran & Michael Cysouw Change dedication in localmetadata.tex Preface This text is meant as a practical guide for linguists, and programmers, whowork with data in multilingual computational environments. We introduce the basic concepts needed to understand how writing systems and character encodings function, and how they work together. The intersection of the Unicode Standard and the International Phonetic Al- phabet is often not met without frustration by users. Nevertheless, thetwo standards have provided language researchers with a consistent computational architecture needed to process, publish and analyze data from many different languages. We bring to light common, but not always transparent, pitfalls that researchers face when working with Unicode and IPA. Our research uses quantitative methods to compare languages and uncover and clarify their phylogenetic relations. However, the majority of lexical data available from the world’s languages is in author- or document-specific orthogra- phies. -
National Rappel Operations Guide
National Rappel Operations Guide 2019 NATIONAL RAPPEL OPERATIONS GUIDE USDA FOREST SERVICE National Rappel Operations Guide i Page Intentionally Left Blank National Rappel Operations Guide ii Table of Contents Table of Contents ..........................................................................................................................ii USDA Forest Service - National Rappel Operations Guide Approval .............................................. iv USDA Forest Service - National Rappel Operations Guide Overview ............................................... vi USDA Forest Service Helicopter Rappel Mission Statement ........................................................ viii NROG Revision Summary ............................................................................................................... x Introduction ...................................................................................................... 1—1 Administration .................................................................................................. 2—1 Rappel Position Standards ................................................................................. 2—6 Rappel and Cargo Letdown Equipment .............................................................. 4—1 Rappel and Cargo Letdown Operations .............................................................. 5—1 Rappel and Cargo Operations Emergency Procedures ........................................ 6—1 Documentation ................................................................................................ -
Optical Character Recognition - a Combined ANN/HMM Approach
Optical Character Recognition - A Combined ANN/HMM Approach Dissertation submitted to the Department of Computer Science Technical University of Kaiserslautern for the fulfillment of the requirements for the doctoral degree Doctor of Engineering (Dr.-Ing.) by Sheikh Faisal Rashid Dean: Prof. Dr. Klaus Schneider Thesis supervisors: Prof. Dr. Thomas Breuel, TU Kaiserslautern Prof. Dr. Andreas Dengel, TU Kaiserslautern Chair of supervisory committee: Prof. Dr. Karsten Berns, TU Kaiserslautern Kaiserslautern, 11 July, 2014 D 386 Abstract Optical character recognition (OCR) of machine printed text is ubiquitously considered as a solved problem. However, error free OCR of degraded (broken and merged) and noisy text is still challenging for modern OCR systems. OCR of degraded text with high accuracy is very important due to many applications in business, industry and large scale document digitization projects. This thesis presents a new OCR method for degraded text recognition by introducing a combined ANN/HMM OCR approach. The approach provides significantly better performance in comparison with state-of-the-art HMM based OCR methods and existing open source OCR systems. In addition, the thesis introduces novel applications of ANNs and HMMs for document image preprocessing and recognition of low resolution text. Furthermore, the thesis provides psychophysical experiments to determine the effect of letter permutation in visual word recognition of Latin and Cursive script languages. HMMs and ANNs are widely employed pattern recognition paradigms and have been used in numerous pattern classification problems. This work presents a simple and novel method for combining the HMMs and ANNs in application to segmentation free OCR of degraded text. HMMs and ANNs are powerful pattern recognition strategies and their combination is interesting to improve current state-of-the-art research in OCR. -
Font HOWTO Font HOWTO
Font HOWTO Font HOWTO Table of Contents Font HOWTO......................................................................................................................................................1 Donovan Rebbechi, elflord@panix.com..................................................................................................1 1.Introduction...........................................................................................................................................1 2.Fonts 101 −− A Quick Introduction to Fonts........................................................................................1 3.Fonts 102 −− Typography.....................................................................................................................1 4.Making Fonts Available To X..............................................................................................................1 5.Making Fonts Available To Ghostscript...............................................................................................1 6.True Type to Type1 Conversion...........................................................................................................2 7.WYSIWYG Publishing and Fonts........................................................................................................2 8.TeX / LaTeX.........................................................................................................................................2 9.Getting Fonts For Linux.......................................................................................................................2 -
Choosing Fonts – Quick Tips
Choosing Fonts – Quick Tips 1. Choose complementary fonts – choose a font that matches the mood of your design. For business cards, it is probably best to choose a classic font. *Note: These fonts are not available in Canva, but are in the Microsoft Office Suite. For some good Canva options, go to this link – https://www.canva.com/learn/canva-for-work-brand-fonts/ Examples: Serif Fonts: Sans Serif Fonts: Times New Roman Helvetica Cambria Arial Georgia Verdana Courier New Calibri Century Schoolbook 2. Establish a visual hierarchy – Use fonts to separate different types of information and guide the reader - Use different fonts, sizes, weights (boldness), and even color - Example: Heading (Helvetica, SZ 22, Bold) Sub-heading (Helvetica, SZ 16, Italics) Body Text (Garamond, SZ 12, Regular) Captions (Garamond, SZ 10, Regular 3. Mix Serifs and Sans Serifs – This is one of the best ways to add visual interest to type. See in the above example how I combined Helvetica, a sans serif font, with Garamond, a serif font. 4. Create Contrast, Not Conflict: Fonts that are too dissimilar may not pair well together. Contrast is good, but fonts need a connecting element. Conflict Contrast 5. Use Fonts from the Same Family: These fonts were created to work together. For example, the fonts in the Arial or Courier families. 6. Limit Your Number of Fonts: No more than 2 or 3 is a good rule – for business cards, choose 2. 7. Trust Your Eye: These are not concrete rules – you will know if a design element works or not! .