References
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[MR14] Machina Research 2014, Research Note: More of a network of Subnets of Things than an Internet of Things
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[NI1] U.S. Energy Information Administration, Form EIA-860 Annual Electric Generator Report, and Form EIA-860M (see Table ES3 in the March 2011 Electric Power Monthly)
[NI2] NI Week 2013 Conference. Bernie Cook. “Duke Energy Asset Monitoring”
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[NI4] NI 9068 CompactRIO System
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[DM1]: Didier Manning, Bosch Software Innovations – “Urban2.0,” September 2014
[WE1] “What the City of the Future Looks Like Today” DETAILS
[WE2] “Welcome to the Internet of Everything (Where There’s Plenty of Parking)”
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[MI1] http://www2.technologyreview.com/tr50/2014/
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[SF1] https://developer.salesforce.com/wear
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[IS1] http://resources.infosecinstitute.com/test-security-iot-smart-devices/
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[LN1] CSMG and LexisNexis: “Data Management: The key to unlocking the potential of usage-based insurance”; T. Kendall, C. Crandon, A. Hassib
[ST1] http://www.statista.com/statistics/200002/international-car-sales-since-1990/
[JC1] Jeff Cobb, 2014: “Global Plug-in Car Sales Now Over 600,000″.
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[TE1] http://www.teslamotors.com/sites/default/files/blog_attachments/gigafactory.pdf
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[EC2] http://pr.euractiv.com/pr/ecall-mandatory-1st-march-2018-122453
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[IP1] www.innovationprojectcanvas.com
[CC1] http://connectedco.com/2011/04/18/the-future-is-podular/
[EBPM] www.enterprise-bpm.org
[LYYJL] Link Jaw and Yuh-Jye Lee, “Engine Diagnostics in the eyes of machine learning,” Proceedings of the 2014 ASME Turbo Expo, June 16-20, 2014, Dusseldorf, Germany.
[DSAR] Donald Simon and Aidan Rinehart, “A model-based anomaly detection approach for analyzing streaming aircraft engine measurement data,” Proceedings of the 2014 ASME Turbo Expo, June 16-20, 2014, Dusseldorf, Germany.
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[RH1] http://horicky.blogspot.de/2014/08/lambda-architecture-principles.html
[ML1] Duda, Hart, Stork: Pattern Recognition, Wiley & Sons, 2001
[ML2] en.wikipedia.org/wiki/Machine_learning