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Books on the topic 'Turning machine'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Computer numerical control: Machining and turning centers. Upper Saddle River, N.J: Pearson/Prentice Hall, 2005.

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2

DuPuis, Christopher. An animated Turning [sic] machine simulator in Forms/3. Corvallis, OR: Oregon State University, Dept. of Computer Science, 1997.

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3

Matthews, Jack L. Sales driven: Turning your company into a marketing machine. Chicago, Ill: Probus, 1993.

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4

Matthews, Jack L. Sales driven: Turning your company into a marketing machine. Chicago: Probus, 1992.

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5

1898-, Leggat John, and Ogden Warren Greene 1906-, eds. A bibliography of the art of turning and lathe and machine tool history with additional references to books and periodical articles which are of interest in relation to these subjects. 3rd ed. North Andover, Mass: Museum of Ornamental Turning, 1987.

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6

Gilsinn, David. Updating a turning center error model by singular value decomposition. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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7

Gilsinn, David. A spline algorithm for modeling cutting errors on turning centers. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

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8

Kosmol, Jan. Sterowanie adaptacyjne jako środek dynamicznej optymalizacji parametrów skrawania na przykładzie zgrubnego wytaczania i toczenia. Gliwice: Politechnika Śląska, 1989.

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9

The 12 amazing secrets of millionaire inventors: Simple, smart steps for turning your brilliant product idea into a money-making machine. Hoboken, N.J: John Wiley & Sons, 2007.

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10

Smid, Peter. CNC control setup for milling and turning: Mastering CNC control systems. New York: Industrial Press Inc., 2010.

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11

Purdue, D. R. PICTURN (PERA Instruction Code for Turning): Development of a computer-aided NC programming system for turning machines. Melton Mowbray: PERA, 1985.

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12

One Cog Turning (Infinity Machine). Luna Press Publishing, 2017.

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13

Conover, Ernie. The Lathe Book: A Complete Guide to the Machine and its Accessories. Taunton, 2001.

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14

Anderson, T. Steph. Turning Your Business into a Money Making Machine. Authorhouse, 2001.

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15

Quesada, Robert. Computer Numerical Control: Machining and Turning Centers. Prentice Hall, 2004.

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16

Quesada, Robert. Computer Numerical Control: Machining and Turning Centers. Prentice Hall, 2004.

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17

Wang, Zhanchen. Chatter analysis of machine tool systems in turning processes. 2001.

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18

Matthews, Jack L. Sales Driven Turning Your Company into a Marketing Machine. Neo Publishing Company, 1993.

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19

Lukin, James, b. 1828, ed. and Britannia Company (Colchester England), eds. Turning lathes: A guide to turning, screw-cutting, metal-spinning, ornamental turning, &c. : and including the 1896 Britannia Company catalogue. 4th ed. Mendham, New Jersey: Astragal Press, 1994.

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20

Smart Assets: Turning You and Your Business into a Wealth Machine. McGraw-Hill, 1996.

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21

Brenner, George D. Smart Assets - Turning Your and Your Business into a Wealth Machine. McGraw-Hill Companies, 1998.

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22

D, Brenner George, ed. Smart assets: Turning you and your business into a wealth machine. Chicago: Irwin Professional Pub., 1996.

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23

D, Brenner George, ed. Smart assets: Turning you and your business into a wealth machine. New York: McGraw-Hill, 1998.

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24

Hill, Stanfield, Barry L. Rabinovich, and Ronald G. Bachrach. Smart Assets: Turning You and Your Business into a Wealth Machine. Irwin Professional Publishing, 1996.

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25

Brenner, George D. Smart Assets - Turning Your and Your Business into a Wealth Machine. 2nd ed. McGraw-Hill Companies, 1998.

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26

Green Machine: The Slightly Gross Truth about Turning Your Food Scraps into Green Energy. Henry Holt and Co. (BYR), 2020.

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27

Onika, Bennett. Unleash Your Hidden Poker Memory: How to Win at Texas Hold'Em by Turning Your Brain into a Poker Tracking Machine. ECW Press, 2012.

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28

Czlonka, Rod. Alchemy: Turning Common Stocks into Gold: How Anyone, Anywhere, Can Turn the Stock Market Into the Ultimate Cash-Flow Machine. Rod Czlonka Publishing, 2000.

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29

Unleash Your Hidden Poker Memory How To Win At Texas Holdem By Turning Your Brain Into A Poker Tracking Machine. ECW Press, 2012.

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30

Onika, Bennett. Unleash Your Hidden Poker Memory: How to Win at Texas Hold'Em by Turning Your Brain into a Poker Tracking Machine. ECW Press, 2012.

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31

Reese, Harvey. The 12 Amazing Secrets of Millionaire Inventors: Smart, Simple Steps for Turning Your Brilliant Product Idea into a Money-Making Machine. Wiley, 2007.

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32

Parker, Philip M. The 2007-2012 World Outlook for Holders for Turning Tools with Mechanical Clamping for Inserts and Bits for Machine Tools and Metalworking Machinery Excluding Box Tools and Screw Machine Tool Holders. ICON Group International, Inc., 2006.

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33

The 2006-2011 World Outlook for Holders for Turning Tools with Mechanical Clamping for Inserts and Bits for Machine Tools and Metalworking Machinery Excluding Box Tools and Screw Machine Tool Holders. Icon Group International, Inc., 2005.

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34

White, Slaton L. The Field & Stream Sporting Vehicles Handbook: The Complete Guide to Turning a Truck or Sport-utility Vehicle into the Perfect Hunting and Fishing Machine. The Lyons Press, 2000.

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35

Wheels Keep Turning (Wonderwise). Franklin Watts Ltd, 2000.

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36

Parker, Philip M. The 2007-2012 World Outlook for Woodworking Lathes or Turning Machines. ICON Group International, Inc., 2006.

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37

The 2006-2011 World Outlook for Woodworking Lathes or Turning Machines. Icon Group International, Inc., 2005.

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38

Jockers, Matthew L. Theme. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0008.

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This chapter demonstrates how big data and computation can be used to identify and track recurrent themes as the products of external influence. It first considers the limitations of the Google Ngram Viewer as a tool for tracing thematic trends over time before turning to Douglas Biber's Corpus Linguistics: Investigating Language Structure and Use, a primer on various factors complicating word-focused text analysis and the subsequent conclusions one might draw regarding word meanings. It then discusses the results of the author's application of latent Dirichlet allocation (LDA) to a corpus of 3,346 nineteenth-century novels using the open-source MALLET (MAchine Learning for LanguagE Toolkit), a software package for topic modeling. It also explains the different types of analyses performed by the author, including text segmentation, word chunking, and author nationality, gender and time-themes relationship analyses. The thematic data from the LDA model reveal the degree to which author nationality, author gender, and date of publication could be predicted by the thematic signals expressed in the nineteenth-century novels corpus.

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39

The 2006-2011 World Outlook for Numerically and Non-Numerically Controlled Metal Lathes and Turning Machines. Icon Group International, Inc., 2005.

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40

Dean, Roger T., and Alex McLean, eds. The Oxford Handbook of Algorithmic Music. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.001.0001.

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Algorithmic music appears to be at a turning point in its history, with many new systems and communities of practice developing together, as vibrant musical culture. This handbook brings together dozens of leading researchers and practitioners in the field, blending technical, artistic, cultural and scientific viewpoints into a whole that considers the making of algorithmic music as a rich, and essentially human activity. The book is organised into four sections, the first grounding the topic in the history, philosophy and psychology of algorithmic music. The second section asks 'what can algorithms in music do?', finding answers in computer science, mathematics, machine learning, bio-inspired computation, manipulation of pattern, computational creativity, and live coding. The third section focuses on the music maker, and the role of algorithms in supporting network music, sonification, music interface design, music in computer games, and spatialisation. The final section opens out to culture at large, and considers algorithmic music in terms of its audience reception, sociology, education, politics and the potential for mass consumption. Perhaps just as importantly, these sections are interleaved with reflective pieces from leading practitioners in the field, allowing us to to grasp the pragmatics of making music with algorithms. Combined, these diverse standpoints provide an absorbing, authoritative survey of research and practice from across the algorithmic music field.

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41

Tools, chucks and fixtures;: A comprehensive and detailed treatise covering the design and use of cutting tools and holding devices employed in turning ... accuracy and increasing production,. Lindsay Pub. Inc, 1993.

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42

Hong, Sun-ha. Technologies of Speculation. NYU Press, 2020. http://dx.doi.org/10.18574/nyu/9781479860234.001.0001.

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What counts as knowledge in the age of big data and smart machines? Technologies of datafication renew the long modern promise of turning bodies into facts. They seek to take human intentions, emotions, and behavior and to turn these messy realities into discrete and stable truths. But in pursuing better knowledge, technology is reshaping in its image what counts as knowledge. The push for algorithmic certainty sets loose an expansive array of incomplete archives, speculative judgments, and simulated futures. Too often, data generates speculation as much as it does information. Technologies of Speculation traces this twisted symbiosis of knowledge and uncertainty in emerging state and self-surveillance technologies. It tells the story of vast dragnet systems constructed to predict the next terrorist and of how familiar forms of prejudice seep into the data by the back door. In software placeholders, such as “Mohammed Badguy,” the fantasy of pure data collides with the old specter of national purity. It shows how smart machines for ubiquitous, automated self-tracking, manufacturing knowledge, paradoxically lie beyond the human senses. This data is increasingly being taken up by employers, insurers, and courts of law, creating imperfect proxies through which my truth can be overruled. This book argues that as datafication transforms what counts as knowledge, it is dismantling the long-standing link between knowledge and human reason, rational publics, and free individuals. If data promises objective knowledge, then we must ask in return, Knowledge by and for whom; enabling what forms of life for the human subject?

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43

Tyler, Amanda L. Habeas Corpus in Wartime. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199856664.001.0001.

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Habeas Corpus in Wartime unearths and presents a comprehensive account of the legal and political history of habeas corpus in wartime in the Anglo-American legal tradition. The book begins by tracing the origins of the habeas privilege in English law, giving special attention to the English Habeas Corpus Act of 1679, which limited the scope of executive detention and used the machinery of the English courts to enforce its terms. It also explores the circumstances that led Parliament to invent the concept of suspension as a tool for setting aside the protections of the Habeas Corpus Act in wartime. Turning to the United States, the book highlights how the English suspension framework greatly influenced the development of early American habeas law before and after the American Revolution and during the Founding period, when the United States Constitution enshrined a habeas privilege in its Suspension Clause. The book then chronicles the story of the habeas privilege and suspension over the course of American history, giving special attention to the Civil War period. The final chapters explore how the challenges posed by modern warfare during the twentieth and twenty-first centuries have placed great strain on the previously well-settled understanding of the role of the habeas privilege and suspension in American constitutional law. Throughout, the book draws upon a wealth of original and heretofore untapped historical resources to shed light on the purpose and role of the Suspension Clause in the United States Constitution, revealing all along that many of the questions that arise today regarding the scope of executive power to arrest and detain in wartime are not new ones.

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