Books on the topic 'Detecting defects'

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1

Manning, David G. Detecting defects and deterioration in highway structures. Washington, D.C: Transportation Research Board, National Research Council, 1985.

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2

Alexander, A. Michel. Application of artificial neural networks to ultrasonic pulse echo system for detecting microcracks in concrete. Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1998.

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3

Simon, Léa M. Fault detection: Theory, methods and systems. New York: Nova Science Publishers, 2011.

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4

Miller, Ann K. Engineering quality software: Defect detection and prevention. Reading, Mass: Addison-Wesley, 1992.

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5

Dahoo, Pierre Richard, Philippe Pougnet, and Abdelkhalak El Hami. Nanometer-Scale Defect Detection Using Polarized Light. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119329633.

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6

Goldstein, Robert V., and Gerard A. Maugin, eds. Surface Waves in Anisotropic and Laminated Bodies and Defects Detection. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-2387-1.

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7

Carlson, N. M. Ultrasonic sensing of GMAW: Laser/EMAT defect detection system. Idaho Falls, ID: E.G. & G Idaho Inc., 1992.

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8

Lu, Yicheng. Real time defect detection in welds by ultrasonic means. Uxbridge: Brunel University, 1992.

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9

tutkimuskeskus, Valtion teknillinen, ed. Detection of knots in logs using x-ray imaging. Espoo, Finland: VTT, Technical Research Centre of Finland, 1996.

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10

Starr, James W. Volumetric leak detection in large underground storage tanks. Cincinnati, Ohio: Risk Reduction Engineering Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1991.

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11

Starr, James W. Volumetric leak detection in large underground storage tanks. Cincinnati, Ohio: Risk Reduction Engineering Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1991.

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12

Banks, H. Thomas. Detection of non-symmetrical damage in smart plate-like structures. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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13

Chang, Sun Joseph. External and internal defect detection to optimize cutting of hardwood logs and lumber. Beltsville, MD: U.S. Dept. of Agriculture, National Agricultural Library, Technology Tranfer Information Center, 1992.

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14

Banks, H. Thomas. Detection of non-symmetrical damage in smart plate-like structures. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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15

Banks, H. Thomas. Detection of non-symmetrical damage in smart plate-like structures. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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16

Banks, H. Thomas. Detection of non-symmetrical damage in smart plate-like structures. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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17

Zainuddin, I. Detection and sizing of coating defects on pipelines under cathodic protection by the D.C. voltage gradient method. Manchester: UMIST, 1996.

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18

Susanne, Winnacker. Defector: A Variants novel. New York, New York: Razorbill, an imprint of Penguin Group (USA), 2014.

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19

Saleeb, Atef F. Defect localization capabilities of a global detection scheme: Spatial pattern recognition using full-field vibration test data in plates. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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20

Albany Birth Defects Symposium (19th 1988). Transplacental disorders: Perinatal detection, treatment, and management (including pediatric AIDS) : proceedings of the 1988 Albany Birth Defects Symposium XIX, held in Albany, New York, September 26-27, 1988. Edited by Bellisario Ronald and Mizejewski Gerald J. New York: Liss, 1990.

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21

Goodwin, Jason. An evil eye: A novel. New York: Farrar, Straus, and Giroux, 2011.

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22

Carre, John Le. Xiao shi di qing bao yüan. Taibei Shi: Xing guang chu ban she, 1999.

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23

Pendleton, Don. Lethal risk. Don Mills, Ontario, Canada: Worldwide Library, 2015.

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24

Carre, John Le. Wan mei de jian die. Taibei Xian Xindian Shi: Mu ma wen hua shi ye gu fen you xian gong si, 2005.

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25

The Cold War swap. Waterville, Me: Thorndike Press, 2003.

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26

Thomas, Ross. The Cold War swap. New York: Thomas Dunne Books/St. Martin's Minotaur, 2003.

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27

Carre, John Le. A perfect spy. London: Book Club Associates, 1986.

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28

Carre, John Le. A perfect spy. New York: Knopf, 1986.

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29

Carre, John Le. A perfect spy. London: Coronet, 1994.

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30

Carre, John Le. A perfect spy. London: Hodder & Stoughton, 1986.

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31

Carre, John Le. A perfect spy. Markham, Ont: Viking Press, 1986.

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32

Carre, John Le. A perfect spy. Boston, Mass: G.K. Hall, 1986.

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33

Carre, John Le. A perfect spy. [Sevenoaks]: Coronet, 1987.

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34

Carre, John Le. A perfect spy. Toronto: Bantam Books, Inc., 1987.

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35

Nondestructive methods for detecting defects in softwood logs. Madison, Wis: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1996.

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36

Lawton, Collin Edgar. Seam defect detection by signature analysis. 2003.

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37

Hami, Abdelkhalak El, Philippe Pougnet, and Pierre-Richard Dahoo. Nanometer-Scale Defect Detection Using Polarized Light. Wiley & Sons, Incorporated, John, 2016.

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38

Hami, Abdelkhalak El, Philippe Pougnet, and Pierre-Richard Dahoo. Nanometer-Scale Defect Detection Using Polarized Light. Wiley & Sons, Incorporated, John, 2016.

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39

Keller, H. P. Residual Stresses and Their Influence for Detection and Sizing of Defects (Residual Stresses and Their Influence for Detection and Sizing of Defects). European Communities / Union (EUR-OP/OOPEC/OPOCE), 1992.

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40

Maugin, Gerard A., and Robert V. Goldstein. Surface Waves in Anisotropic and Laminated Bodies and Defects Detection. Springer, 2008.

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41

Probability of detection of defects in coatings with electronic shearography. MSFC, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1995.

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42

S, Russell S., and George C. Marshall Space Flight Center., eds. Probability of detection of defects in coatings with electronic shearography. MSFC, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1995.

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43

Ann, Tonks, Whittle Martin J, Wyldes Mike, and West Midlands Perinatal Audit Research Institute., eds. Neural tube defects: A report of incidence, detection and outcome. Birmingham: West Midlands Perinatal Audit Research Institute, 1997.

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44

Zhong, Yuan. Image segmentation for defect detection on veneer surfaces. 1994.

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45

Lawson, Shaun W. Automatic defect detection in industrial radioscopic and ultrasonic images. 1995.

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46

F, Wise Richard, Maresca J. W, and Risk Reduction Engineering Laboratory (U.S.), eds. Volumetric leak detection in large underground storage tanks: Project summary. Cincinnati, Ohio: U.S. Environmental Protection Agency, Risk Reduction Engineering Laboratory, 1991.

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47

F, Wise Richard, Maresca J. W, and Risk Reduction Engineering Laboratory (U.S.), eds. Volumetric leak detection in large underground storage tanks: Project summary. Cincinnati, Ohio: U.S. Environmental Protection Agency, Risk Reduction Engineering Laboratory, 1991.

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48

Garcia, Ernest V., James R. Galt, and Ji Chen. SPECT and PET Instrumentation. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0003.

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Abstract:
Nuclear cardiac imaging is solidly based on many branches of science and engineering, including nuclear, optical and mathematical physics, electrical and mechanical engineering, chemistry and biology. This chapter uses principles from these scientific fields to provide an understanding of both the signals used, and the imaging system that captures these signals. Nuclear cardiology’s signals are the x-rays or ?-rays photons emitted from a radioactive tracer and its imaging systems are either single-photon emission computed tomography (SPECT) or positron emission tomography (PET) cameras. This combination has met with remarkable success in clinical cardiology. This success is due to the combination of sophisticated electronic nuclear instruments with a highly specific and thus powerful signal. The signal is as important as or more important than the imaging system. There is a misconception that cardiac magnetic resonance (CMR) cardiac computed tomography (CCT) and echocardiography are superior to nuclear cardiology imaging because of their superior spatial resolution. Yet, in detecting perfusion defects what is really necessary is superior contrast resolution. It is this superior contrast resolution that allows us to differentiate between normal and hypoperfused myocardium facilitating the visual analysis of nuclear cardiology perfusion images. Because these objects are bright compared to the background radioactivity, computer algorithms have been developed that allow us to automatically and objectively process and quantify our images. This chapter explains many of the important scientific principles necessary to understand nuclear cardiology imaging in general, i.e., how these sophisticated imaging systems detect the radiation emitted from the radiotracers.
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49

R, Bodis James, Bishop Chip, and United States. National Aeronautics and Space Administration., eds. Thermographic imaging for high-temperature composite materials: A defect detection study. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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50

R, Bodis James, Bishop Chip, and United States. National Aeronautics and Space Administration., eds. Thermographic imaging for high-temperature composite materials: A defect detection study. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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