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1

Jonathan, E. Optical pressure sensing. Manchester: UMIST, 1995.

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2

Coluccia, Giulio, Chiara Ravazzi, and Enrico Magli. Compressed Sensing for Distributed Systems. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-390-3.

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3

Mazzeo, Pier Luigi, Paolo Spagnolo, and Thomas B. Moeslund, eds. Activity Monitoring by Multiple Distributed Sensing. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13323-2.

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4

Sniatala, Pawel, M. Hadi Amini, and Kianoosh G. Boroojeni. Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33132-0.

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5

Valis, Tomas. Distributed fiber optic sensing based on counterpropagating waves. [S.l.]: [s.n.], 1989.

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6

Tzou, H. S. Piezoelectric Shells: Distributed Sensing and Control of Continua. Dordrecht: Springer Netherlands, 1993.

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7

Tzou, H. S. Piezoelectric shells: Distributed sensing and control of continua. Dordrecht: Kluwer Academic, 1993.

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8

National Research Council (U.S.). Committee on Distributed Remote Sensing for Naval Undersea Warfare. Distributed remote sensing for naval undersea warfare: Abbreviated version. Washington: National Academies Press, 2007.

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9

D'Errico, Marco. Distributed Space Missions for Earth System Monitoring. New York, NY: Springer New York, 2013.

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10

O'Brien, D. M. Zones of feasibility for retrieval of surface pressure from observations of absorption in the A band of oxygen. Australia: CSIRO, 1989.

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11

Organisation Internationale de Métrologie Légale. Pressure gauges and vacuum gauges with elastic sensing elements (standard instruments). Paris: OIML, 1993.

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12

Dai, Hanping. Distributed control system architecture and smart sensing for intelligent semi-autonomous vehicles. Leicester: De Montfort University, 2002.

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13

A, Smith Elizabeth. Contents of the JPL Distributed Active Archive Center (DAAC) archive. Edited by Lassanyi Ruby A and Jet Propulsion Laboratory (U.S.). 2nd ed. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1991.

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14

Johnson, Steven. Pressure-sensing performance of upright cylinders in a Mach-10 boundary layer. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.

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15

Johnson, Steven A. Pressure-sensing performance of upright cylinders in a Mach-10 boundary layer. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.

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16

Johnson, Steven. Pressure-sensing performance of upright cylinders in a Mach-10 boundary layer. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.

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17

Organisation Internationale de Métrologie Légale. Indicating and recording pressure gauges, vacuum gauges and pressure - vacuum gauges with elastic sensing elements (ordinary instruments). Paris: OIML, 1991.

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18

Crawford, Shelley Alexandra. The application of the force sensing array (FSA) pressure mapping system in clinical settings. [S.l: The author], 2004.

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19

Schuurmans, J. M. Hydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Utrecht: Royal Dutch Geographical Society, 2008.

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20

Hydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Utrecht: Royal Dutch Geographical Society, 2008.

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21

Balakrishnan, A. V. Application of optical distributed sensing and computation to control of large space structures: Final technical report on NASA grant, NAG 11-1074. [Washington, DC: National Aeronautics and Space Administration, 1992.

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22

IEEE International Symposium on Virtual and Intelligent Measurement Systems (7th 2002 Girdwood, Anchorage, Alaska). VIMS 2002: 2002 IEEE International Symposium on Virtual and Intelligent Measurement Systems : Distributed intelligent sensing for advanced integrated virtual environments : Alyeska resort, Girdwood, Alaska, USA, 19-20 May 2002. Piscataway, N.J: IEEE, 2002.

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23

1947-, Dakin John, ed. The Distributed fibre optic sensing handbook. Kempston, Bedford, UK: IFS Publications, 1990.

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24

Distributed Remote Sensing for Naval Undersea Warfare. Washington, D.C.: National Academies Press, 2007. http://dx.doi.org/10.17226/11927.

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25

Khan, Mohammad Amjad. Fiber optic pressure sensing for engine control. 1986.

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26

Compensating for pneumatic distortion in pressure sensing devices. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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27

Distributed Space Missions For Earth System Monitoring. Springer, 2012.

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28

Duck, Graham Ian. Distributed bragg grating sensing -- strain transfer mechanics and experiments. 2001.

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29

United States. National Aeronautics and Space Administration., ed. Integrated optical interferometers with micromachined diaphragms for pressure sensing. [Cincinnati, Ohio]: University of Cincinnati, College of Engineering, Dept. of Electrical & Computer Engineering and Computer Science, 1996.

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30

Tzou, Hornsen (HS). Piezoelectric Shells: Sensing, Energy Harvesting, and Distributed Control―Second Edition. Springer, 2018.

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31

Anders, George J., and Sudhakar Cherukupalli. Distributed Fiber Optic Sensing and Dynamic Rating of Power Cables. Wiley-IEEE Press, 2019.

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32

Anders, George J., and Sudhakar Cherukupalli. Distributed Fiber Optic Sensing and Dynamic Rating of Power Cables. Wiley & Sons, Limited, John, 2019.

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33

Anders, George J., and Sudhakar Cherukupalli. Distributed Fiber Optic Sensing and Dynamic Rating of Power Cables. Wiley & Sons, Incorporated, John, 2019.

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34

Anders, George J., and Sudhakar Cherukupalli. Distributed Fiber Optic Sensing and Dynamic Rating of Power Cables. Wiley & Sons, Incorporated, John, 2019.

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35

Grigory, Adamovsky, Floyd Bertram, and NASA Glenn Research Center, eds. Demodulation system for fiber optic Bragg grating dynamic pressure sensing. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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36

Boyer, Frédéric, and Vincent Lebastard. Electric sensing for underwater navigation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0019.

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Underwater navigation in turbid water for exploration in catastrophic conditions or navigation in confined unstructured environments is still a challenge for robotics. In these conditions, neither vision nor sonar can be used. Pursuing a bio-inspired approach in robotics, one can seek solutions in nature to solve this difficult problem. Several hundred fish species in families Gymnotidae and Mormyridae have developed an original sense well adapted to this situation: the electric sense. Gnathonemus petersii first polarizes its body with respect to an electric organ discharge located at the base of its tail and generates a dipolar electric field in its near surroundings. Then, using many transcutaneous electro-receptors distributed along its body, the fish “measures” the distortion of the electric field and infers an image of its surroundings. Understanding and implementing this bio-inspired sense offers the opportunity to enhance the navigation abilities of our underwater robots in confined spaces bathed by turbid waters.
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37

Boroojeni, Kianoosh G., M. Hadi Amini, and Pawel Sniatala. Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm: Trends, Advances, and Future Prospects. Springer, 2020.

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38

Kelly, Murphy, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Pressure-sensing performance of upright cylinders in a Mach-10 boundary layer. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.

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39

Carl, Bouvier, and United States. National Aeronautics and Space Administration., eds. X-33/RLV: Reusable cryogenic tank VHM using fiber optic distributed sensing technology. [Washington, DC: National Aeronautics and Space Administration, 1998.

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40

Carl, Bouvier, and United States. National Aeronautics and Space Administration., eds. X-33/RLV: Reusable cryogenic tank VHM using fiber optic distributed sensing technology. [Washington, DC: National Aeronautics and Space Administration, 1998.

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41

Carl, Bouvier, and United States. National Aeronautics and Space Administration., eds. X-33/RLV: Reusable cryogenic tank VHM using fiber optic distributed sensing technology. [Washington, DC: National Aeronautics and Space Administration, 1998.

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42

Optimal Mobile Sensing And Actuation Policies In Cyberphysical Systems. Springer, 2011.

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43

Advanced optical sensing and processing technologies for the distributed control of large flexible spacecraft. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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44

Chen, YangQuan, and Christophe Tricaud. Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems. Springer, 2011.

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45

Chen, YangQuan, and Christophe Tricaud. Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems. Springer, 2013.

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46

Differential absorption lidars for remote sensing of atmospheric pressure and temperature profiles: Final report. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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47

J, Davis Roy, Fife John Michael, and Hugh L. Dryden Flight Research Center., eds. In-flight demonstration of a Real-Time Flush Airdata Sensing (RT-FADS) system. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1995.

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48

J, Davis Roy, Fife John Michael, and Hugh A. Dryden Flight Research Center., eds. In-flight demonstration of a Real-Time Flush Airdata Sensing (RT-FADS) system. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1995.

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49

J, Davis Roy, Fife John Michael, and Hugh A. Dryden Flight Research Center., eds. In-flight demonstration of a Real-Time Flush Airdata Sensing (RT-FADS) system. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1995.

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50

R, Moes Timothy, Dryden Flight Research Facility, and AIAA Aerospace Sciences Meeting (29th : 1991 : Reno, Nevada), eds. The effects of pressure sensor acoustics on airdata derived from a high-angle-of-attack flush airdata sensing (HI-FADS) system. Edwards, Calif: NASA Ames Resarch Center, Dryden Flight Research Facility, 1991.

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