Книги з теми "Coded data storage"

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1

Institute, American National Standards. American national standard for information sciences: Extended latin alphabet coded character set for bibliographic use. New York, N.Y. (1430 Broadway, New York 10018): ANSI, 1985.

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2

Immink, Kees A. Schouhamer. Codes for mass data storage systems. 2nd ed. The Netherlands: Shannon Foundation Publishers, 2004.

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3

Kurtas, Erozan. Advanced error control techniques for data storage systems. Boca Raton, FL: Taylor & Francis, 2005.

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4

Massey, David E. Pulse code modulation (PCM) data storage and analysis using a microcomputer. Wallops Island, Va: Goddard Space Flight Center, 1986.

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5

H, Deng Robert, Illinois Institute of Technology. Dept. of Electrical & Computer Engineering, and United States. National Aeronautics and Space Administration, eds. Error control for reliable digital data transmission and storage systems: Final report. Chicago, IL: Dept. of Electrical & Computer Engineering, Illinois Institute of Technology, 1985.

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6

Carrasco, Rolando Antonio. Non-binary error control coding for wireless communication and data storage. Chichester, West Sussex, U.K: Wiley, 2008.

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7

Rogosa, Morrison. Coding microbiological data for computers. New York: Springer-Verlag, 1986.

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8

Texas System of Natural Laboratories. International base line data coding system (IBLDCS): A method for relating and analyzing national resource data. Edited by Travis Nevenna Tsanoff and Margulis Lynn 1938-2011. 2nd ed. Austin, Tex: Texas System of Natural Laboratories, 2004.

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9

Texas System of Natural Laboratories. International base line data coding system: A methodology for interrelating resource data records and developing analyses of resource problems. Edited by Travis Nevenna Tsanoff and Margulis Lynn 1938-2011. 2nd ed. Austin, Tex: Texas System of Natural Laboratories, 2000.

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10

Blackwell, Cassandra D. National Water Data Exchange (NAWDEX): Explanations of codes used in the master water data index. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1985.

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11

Rogosa, Morrison. Coding microbiological datafor computers. New York: Springer-Verlag, 1986.

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12

Blackwell, Cassandra D. Identification codes for organizations listed in computerized data systems of the U.S. Geological Survey. Reston, Va: U.S. Geological Survey, 1993.

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13

Geological Survey (U.S.) and National Water Data Exchange, eds. Identification codes for organizations listed in computerized data systems of the U.S. Geological Survey. Reston, Va: U.S. Geological Survey, 1991.

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14

Geological Survey (U.S.) and National Water Data Exchange, eds. Identification codes for organizations listed in computerized data systems of the U.S. Geological Survey. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1988.

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15

Geological Survey (U.S.) and National Water Data Exchange, eds. Identification codes for organizations listed in computerized data systems of the U.S. Geological Survey. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1988.

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16

Geological Survey (U.S.) and National Water Data Exchange, eds. Identification codes for organizations listed in computerized data systems of the U.S. Geological Survey. Reston, Va: U.S. Geological Survey, 1991.

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17

Geological Survey (U.S.) and National Water Data Exchange, eds. Identification codes for organizations listed in computerized data systems of the U.S. Geological Survey. Reston, Va: U.S. Geological Survey, 1991.

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18

Geological Survey (U.S.) and National Water Data Exchange, eds. Identification codes for organizations listed in computerized data systems of the U.S. Geological Survey. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1988.

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19

IFIP-IMIA, WG6 International Working Conference on the Role of Informatics in Health Data Coding and Classification Systems (1984 Ottawa Ont ). Role of informatics in health data coding and classification systems: Proceedings of the IFIP-IMIA WG6 International Working Conference on the Role of Informatics in Health Data Coding and Classification Systems, Ottawa, Canada, 26-28, September 1984. Amsterdam: North Holland, 1985.

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20

United States. Defense Logistics Agency. Technical operations manual. Alexandria, Va: Dept. of Defense, Defense Logistics Agency, 1991.

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21

1949-, Takada Tokio, and Kyōto Daigaku. 21-seiki COE Puroguramu. Higashi Ajia Sekai no Jinbun Jōhōgaku Kenkyū Kyōiku Kyoten., eds. "Higashi Ajia sekai no jinbun jōhōgaku kenkyū kyōiku kyoten" hōkokusho. Kyōto-shi: Kyōto Daigaku 21-seiki COE Puroguramu "Higashi Ajia Sekai no Jinbun Jōhōgaku Kenkyū Kyōiku Kyoten", 2008.

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22

1949-, Takada Tokio, and Kyōto Daigaku. 21-seiki COE Puroguramu. Higashi Ajia Sekai no Jinbun Jōhōgaku Kenkyū Kyōiku Kyoten., eds. "Higashi Ajia sekai no jinbun jōhōgaku kenkyū kyōiku kyoten" hōkokusho. Kyōto-shi: Kyōto Daigaku 21-seiki COE Puroguramu "Higashi Ajia Sekai no Jinbun Jōhōgaku Kenkyū Kyōiku Kyoten", 2008.

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23

United States. Internal Revenue Service. Employee plans computer systems codes: (quick reference for EP/EO specialists) : FY-1989. [Washington, D.C.?]: Dept. of the Treasury, Internal Revenue Service, 1988.

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24

Standardization, International Organization for. Information technology--coding of audio-visual objects. Genève, Switzerland: ISO/IEC, 1999.

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25

G, Miao, Cheng Z, U.S. Nuclear Regulatory Commission. Division of Systems Analysis and Regulatory Effectiveness., and Energy and Environmental Science, Inc., eds. Analysis of spent fuel heatup following loss of water in a spent fuel pool: A users' manual for the computer code SHARP : final report. Washington, DC: Division of Systems Analysis and Regulatory Effectiveness, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 2002.

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26

Shipman, Alan. Evidential weight and legal admissibility of information stored electronically: Code of practice for the implementation of BS 10008. 4th ed. London: BSI, 2008.

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27

G, Miao, Cheng Z, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Regulatory Applications., and Brookhaven National Laboratory, eds. Analysis of spent fuel heatup following loss of water in a spent fuel pool: A users' manual for the computer code SHARP : draft report for comment. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.

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28

Senate, United States Congress. A bill to amend title 18, United States Code, to preserve personal privacy with respect to medical records and health care-related information, and for other purposes. [Washington, D.C.?]: [United States Government Printing Office], 1994.

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29

T, Feagin, Overland D, University of Houston--Clear Lake. Research Institute for Computing and Information Systems., and Lyndon B. Johnson Space Center., eds. Communications and tracking expert systems study. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston--Clear Lake, 1987.

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30

Liffick, Blaise W. The software developer's sourcebook: From concept to completion : the essential reference. Reading, Mass: Addison-Wesley Pub. Co., 1985.

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31

Pulse code modulation (PCM) data storage and analysis using a microcomputer. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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32

Carrasco, Rolando Antonio, and Martin Johnston. Non-Binary Error Control Coding for Wireless Communication and Data Storage. Wiley & Sons, Limited, John, 2008.

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33

Carrasco, Rolando Antonio, and Martin Johnston. Non-Binary Error Control Coding for Wireless Communication and Data Storage. Wiley & Sons, Incorporated, John, 2008.

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34

Time code formats: Recommendation for space data system standards. [Washington, DC: National Aeronautics and Space Administration, 1989.

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35

Generating Executable Persistent Data Storage/Retrieval Code from Object-Oriented Specifications. Storming Media, 2000.

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36

Rogosa, Morrison, Rita R. Colwell, and Micah I. Krichevsky. Coding Microbiological Data for Computers. Springer, 2012.

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37

Rogosa, Morrison, Rita R. Colwell, and Micah I. Krichevsky. Coding Microbiological Data for Computers. Springer, 2011.

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38

Rogosa, Morrison, Rita R. Colwell, and Micah I. Krichevsky. Coding Microbiological Data for Computers. Springer, 2011.

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39

Bertrand-Krajewski, Jean-Luc, Francois Clemens-Meyer, and Mathieu Lepot, eds. Metrology in Urban Drainage and Stormwater Management: Plug and Pray. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781789060119.

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Анотація:
Abstract This book presents the advancements made in applied metrology in the field of Urban Drainage and Storm water Management over the past two decades in scientific research as well as in practical applications. Given the broadness of this subject (measuring principles, uncertainty in data, data validation, data storage and communication, design, maintenance and management of monitoring networks, technical details of sensor technology), the focus is on water quantity and a sound metrological basis. The book offers common ground for academics and practitioners when setting up monitoring projects in urban drainage and storm water management. This will enable an easier exchange of results so as to allow for a faster scientific progress in the field. A second, but equally important goal, is to allow practitioners access to scientific developments and gained experience when it comes to monitoring urban drainage and storm water systems. In-depth descriptions of international case studies covering all aspects discussed in the book are presented, along with self-training exercises and codes available for readers on a companion website. Numerous detailed examples are given in the book, with corresponding open-source codes and training files available to download here. ISBN: 9781789060102 (Paperback) ISBN: 9781789060119 (eBook)
40

Coats, Steven, and Veronika Laippala. Linguistics across Disciplinary Borders. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350362291.

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Анотація:
This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines. New approaches have emerged in recent years that blur disciplinary boundaries, facilitated by factors such as the application of computational methods, access to large data sets, and the sharing of code, as well as continual advances in technologies related to data storage, retrieval, and processing. The “march of data” denotes an area at the border region of linguistics, humanities, and social science disciplines, but also the inevitable development of the underlying technologies that drive analysis in these subject areas. Organized into 3 sections, the chapters are connected by the underlying thread of linguistic corpora: how they can be created, how they can shed light on varieties or registers, and how their metadata can be utilized to better understand the internal structure of similar resources. While some chapters in the volume make use of well-established existing corpora, others analyze data from platforms such as YouTube, Twitter or Reddit. The volume provides insight into the diversity of methods, approaches, and corpora that inform our understanding of the “border regions” between the realms of data science, language/linguistics, and social or cultural studies
41

Role of informatics in health data coding and classification systems: Proceedings of the IFIP-IMIA WG6 International Working Conference on the Role of ... Ottawa, Canada, 26-28, September 1984. Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co, 1985.

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42

Hyon, Kyu-sop. Hanguk pyojun hwakchang Hancha setu chejong pangan yongu (Chulpan yongu chongso). Hanguk Chulpan Yonguso, 1994.

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43

Guo ji biao zhun tong yong duo ba wei bian ma zi fu ji, tong yi di Zhong Ri Han Han zi =: ISO/IEC DIS 10646 information technology universal multiple-octet ... set (UCS) unified ideographic CJK characters. Xing guang (Zhong wen dian nao) you xian gong si (Xianggang), 1992.

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