Q3313114 (Q3313114): Difference between revisions
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(Changed label, description and/or aliases in en: Setting new description) |
(Created claim: summary (P836): The aim is to develop an indoor localisation and tracking system of people and their movements in large rooms and buildings, using machine learning and taking into account IT security and data protection, as well as enabling distributed data analysis., translated_summary) |
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The aim is to develop an indoor localisation and tracking system of people and their movements in large rooms and buildings, using machine learning and taking into account IT security and data protection, as well as enabling distributed data analysis. (English) | |||||||||||||||
| Property / summary: The aim is to develop an indoor localisation and tracking system of people and their movements in large rooms and buildings, using machine learning and taking into account IT security and data protection, as well as enabling distributed data analysis. (English) / rank | |||||||||||||||
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| Property / summary: The aim is to develop an indoor localisation and tracking system of people and their movements in large rooms and buildings, using machine learning and taking into account IT security and data protection, as well as enabling distributed data analysis. (English) / qualifier | |||||||||||||||
point in time: 25 October 2021
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Revision as of 22:24, 24 October 2021
Project Q3313114 in Germany
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3313114 in Germany |
Statements
101,830.08 Euro
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210,436.2 Euro
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48.39 percent
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1 January 2019
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30 June 2022
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Universität Koblenz-Landau
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76829
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Ziel ist die Entwicklung eines Indoor-Lokalisierung- und Tracking-Systems von Personen und derer Bewegungsverläufe in großen Räumen und Gebäuden, unter Verwendung maschinellen Lernens und Berücksichtigung von IT-Sicherheit und Datenschutz, sowie Ermöglichung einer verteilten Datenanalyse. (German)
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The aim is to develop an indoor localisation and tracking system of people and their movements in large rooms and buildings, using machine learning and taking into account IT security and data protection, as well as enabling distributed data analysis. (English)
25 October 2021
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Koblenz, Kreisfreie Stadt
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Identifiers
DE_TEMPORARY_15901
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