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1

Yang, Ming. Sensor based robotic ranging system architecture. Salford: University of Salford, 1994.

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2

Dailey, Daniel J. Deployment of a virtual sensor system, based on transit probes, in an operational traffic management system. Olympia, WA: Washington State Dept. of Transportation, 2006.

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3

Usman, Muhammad, Vallipuram Muthukkumarasamy, Xin-Wen Wu, and Surraya Khanum. Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7467-7.

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4

International Conference on Location Based Services and TeleCartography (5th 2008 Salzburg, Austria). Location based services and telecartography II: From sensor fusion to context models : 5th International Conference on Location Based Services and TeleCartography 2008, Salzburg / Georg Gartner, Karl Rehrl (eds.). Berlin: Springer, 2009.

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5

Najjari, Hossein. The design and devopment of an integrated sensor-based control system using and artificial intelligence approach for a flexible robotics assembly cell. Birmingham: University of Birmingham, 1996.

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6

Mäntyjärvi, Jani. Sensor-based context recognition for mobile applications. Espoo [Finland]: VTT Technical Research Centre of Finland, 2003.

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7

Bandyopadhyay, L. K. Wireless communication in underground mines: RFID-based sensor networking. New York: Springer, 2010.

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8

Sallinen, Mikko. Modelling and estimation of spatial relationships in sensor-based robot workcells. Espoo [Finland]: VTT Technical Research Centre of Finland, 2003.

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9

Richard, Fuller, and Koutsoukos Xenofon D, eds. Mobile entity localization and tracking in GPS-less environnments: Second international workshop, MELT 2009, Orlando, Fl, USA, September 30, 2009 : proceedings. Berlin: Springer, 2009.

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10

Germany) Wireless Communication and Information (Conference) (7th 2010 Berlin. Wireless communication and information: Car to car, sensor networks and location based services. Boizenburg: VWH, Verlag Werner Hülsbusch, Fachverlag für Medientechnik und -wirtschaft, 2010.

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11

Principles and applications of distributed event-based systems. Hershey, PA: Information Science Reference, 2010.

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12

Kohler, Jeffrey L. A general design and implementation procedure for sensor-based electrical diagnostic systems for mining machinery. Washington, D.C: U.S. Dept. of Interior, Bureau of Mines, 1993.

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13

Song, Zhen. Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach. London: Springer London, 2009.

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14

International, Symposium on Olfaction and the Electronic Nose (5th 1998 Baltimore Md ). Electronic noses & sensor array based systems: Design & applications : proceedings of the 5th International Symposium on Olfaction and the Electronic Nose. Lancaster, PA: Technomic Pub. Co., 1999.

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15

Demeester, Piet. Wireless Sensor Networks: 10th European Conference, EWSN 2013, Ghent, Belgium, February 13-15, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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16

Sotiris, Nikoletseas, Orponen Pekka, and SpringerLink (Online service), eds. Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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17

IEEE/RSJ International Conference on Intelligent Robots and Systems (5th 1992 Raleigh, N.C.). IROS '92: Proceedings of the 1992 IEEE/RSJ international conference on intelligent robots and systems : sensor-based robotics and opportunties [sic] for its industrial applications, July 7-10, 1992, Raleigh, North Carolina, USA. New York, NY: Institute of Electrical and Electronics Engineers, 1992.

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18

IEEE/RSJ International Conference on Intelligent Robots and Systems (5th 1992 Raleigh, N.C.). IROS '92: Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems : sensor-based robotics and opportunties [sic] for its industrial applications, July 7-10, 1992, Raleigh, North Carolina, USA. New York, NY: Institute of Electrical and Electronics Engineers, 1992.

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19

Usman, Muhammad, Vallipuram Muthukkumarasamy, Xin-Wen Wu, and Surraya Khanum. Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. Springer, 2018.

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20

Usman, Muhammad, Vallipuram Muthukkumarasamy, Xin-Wen Wu, and Surraya Khanum. Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. Springer, 2019.

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21

Swarm Based Implementation of a Virtal Distributed Database System in a Sensor Network. Storming Media, 2004.

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22

P, Wnuk V., and United States. National Aeronautics and Space Administration., eds. The development of a PdCr integral weldable strain measurement system based on NASA Lewis PdCr/Pt strain sensor for user-friendly elevated temperature strain measurements. [Washington, D.C: National Aeronautics and Space Administration, 1997.

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23

G, Lee C. S., and NATO Advanced Research Workshop on Sensor-Based Robots: Algorithms and Architectures (1988 : Château de Bonas, France), eds. Sensor-based robots: Algorithms and architectures. Berlin: Springer-Verlag, 1991.

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24

Horst, Bunke, Kanade Takeo, and Noltemeier Hartmut, eds. Modelling and planning for sensor based intelligent robot systems. Singapore: World Scientific, 1995.

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25

Bunke, H., T. Kanade, and H. Noltemeier. Modelling and Planning for Sensor Based Intelligent Robot Systems. WORLD SCIENTIFIC, 1995. http://dx.doi.org/10.1142/2728.

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26

Sebastiano, Fabio, Kofi A. Makinwa, and Lucien J. Breems. Mobility-based Time References for Wireless Sensor Networks. Springer, 2012.

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27

Sebastiano, Fabio, Kofi A. Makinwa, and Lucien J. Breems. Mobility-based Time References for Wireless Sensor Networks. Springer, 2014.

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28

1937-, Tarn Tzyh-Jong, Ghosh B. K. 1936-, and Xi Ning, eds. Control in robotics and automation: Sensor-based integration. San Diego: Academic Press, 1999.

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29

RSS-AoA-Based Target Localization and Tracking in Wireless Sensor Networks. River Publishers, 2017.

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30

Emerging Communication Technologies Based on Wireless Sensor Networks: Current Research and Future Applications. Taylor & Francis Group, 2016.

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31

1998, Baltimore, M.D.) International Symposium on Olfaction and the Electronic Nose (5th. Electronic Noses & Sensor Array Based Systems - Design & Applications, Fifth International Symposium Proceedings. CRC, 1999.

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32

Dale, Christesen Steven, Sedlacek Arthur J, and Society of Photo-optical Instrumentation Engineers., eds. Vibrational spectroscopy-based sensor systems: 1-2 November 2001, Newton, [Mass.], USA. Bellingham, Wash., USA: SPIE, 2002.

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33

Fortino, Giancarlo, Raffaele Gravina, and Stefano Galzarano. Wearable Computing: From Modeling to Implementation of Wearable Systems Based on Body Sensor Networks. Wiley & Sons, Incorporated, John, 2018.

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34

Fortino, Giancarlo, Raffaele Gravina, and Stefano Galzarano. Wearable Computing: From Modeling to Implementation of Wearable Systems based on Body Sensor Networks. Wiley-Interscience, 2018.

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35

Fortino, Giancarlo, Raffaele Gravina, and Stefano Galzarano. Wearable Computing: From Modeling to Implementation of Wearable Systems Based on Body Sensor Networks. Wiley & Sons, Incorporated, John, 2018.

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36

Abonyi, János, Ágnes Vathy-Fogarassy, and Dániel Leitold. Network-Based Analysis of Dynamical Systems: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement. Springer, 2020.

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37

(Editor), Guido Visconti, Pietro Di Carlo (Editor), W. Brune (Editor), M. Schoeberl (Editor), and Andreas Wahner (Editor), eds. Observing Systems for Atmospheric Composition: Satellite, Aircraft, Sensor Web and Ground-Based Observational Methods and Strategies. Springer, 2006.

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38

Yŏnʼguwŏn, Hanʼguk Chŏnja Tʻongsin, and Korea (South) Chŏngbo Tʻongsinbu, eds. USN kiban haeksim ŭngyong sŏbisŭ kisul kaebal =: Development of core application service technology based on Ubiquitous Sensor Network. [Seoul]: Chŏngbo Tʻongsinbu, 2006.

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39

Lee, C. S. George. Sensor Based Robots: Algorithms and Architectures (Nato a S I Series Series III, Computer and Systems Sciences). Springer, 1991.

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40

Chen, YangQuan, Zhen Song, Chellury R. Sastry, and Nazif C. Tas. Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach. Springer, 2014.

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41

(Editor), Henrik I. Christensen, Horst Bunke (Editor), and Hartmut Noltemeier (Editor), eds. Sensor Based Intelligent Robots: International Workshop Dagstuhl Castle, Germany, September 28 - October 2, 1998 Selected Papers (Lecture Notes in Computer Science). Springer, 2000.

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42

Demeester, Piet, Ingrid Moerman, and Andreas Terzis. Wireless Sensor Networks: 10th European Conference, EWSN 2013, Ghent, Belgium, February 13-15, 2013, Proceedings. Springer, 2013.

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43

Demeester, Piet, Ingrid Moerman, and Andreas Terzis. Wireless Sensor Networks: 10th European Conference, EWSN 2013, Ghent, Belgium, February 13-15, 2013, Proceedings. Springer, 2013.

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44

(Editor), Gregory D. Hager, Henrik I. Christensen (Editor), Horst Bunke (Editor), and Rolf Klein (Editor), eds. Sensor Based Intelligent Robots: International Workshop, Dagstuhl Castle, Germany, October 15-20, 2000. Selected Revised Papers (Lecture Notes in Computer Science). Springer, 2002.

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45

Mazzolai, Barbara. Growth and tropism. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0009.

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Plants or plant parts, such as roots or leaves, have the capacity of moving by growing in response to external stimuli with high plasticity and morphological adaptation to the environment. This chapter analyses some plant features and how they have been translated in artificial devices and control. A new generation of ICT hardware and software technologies inspired from plants is described, which includes an artificial root-like prototype that moves in soil imitating the sloughing mechanism of cells at the root apex level; as well as innovative osmotic-based actuators that generate movement imitating turgor variation in the plant cells. As future directions, new technologies expected from the study of plants concern energy-efficient actuation systems, chemical and physical microsensors, sensor fusion techniques, kinematics models, and distributed, adaptive control in networked structures with local information and communication capabilities.
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46

Automation 2021. VDI Verlag, 2021. http://dx.doi.org/10.51202/9783181023921.

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In unserer Fachdisziplin bezeichnen wir komplexe technische Systeme als resilient, wenn sie auch beim Auftreten innerer und äußerer Ausfälle und Störungen die angeforderten Systemleistungen aufrechterhalten. Hier sind alle Ingenieurdisziplinen und insbesondere die Automation gefragt, denn eines ist offensichtlich: Die Herausforderungen können wir nur gemeinsam mit einem „Blick über den Tellerrand“ meistern. Unser jährlicher Kongress AUTOMATION ist technologisch geprägt. Das ist Teil des Erfolgsrezepts, welches theoretische Grundlagen, aktuelle Technologieentwicklungen und die Anwendungen in der Produktion – gleichermaßen in der Fertigungs- wie in der Prozessindustrie – vereint. Gerade in Zeiten großer Herausforderungen sind Austausch, Orientierung und Navigation unserer Community besonders notwendig und gefordert. Zugleich gilt es herauszuarbeiten, welche unverzichtbaren Beiträge die Automation ab sofort leisten kann und muss, um die nicht weniger aktuellen und wichtigen Klimaschutzziele zu erreichen. Inhalt (Auszüge) Fertigungsautomation – Digitaler Zwilling A Reference Architecture enabling Sensor Networks based on homogeneous AASs ..... 5 V. Gowtham, A. ...
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