| Contents | 5 |
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| 1Digital Information –The “Genetic Code” of Modern Technology | 13 |
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| 1.1 Introduction: Digitization, a powerful force for change | 13 |
| 1.2 Technology’s “genetic code” | 14 |
| 1.3 The dynamics of everyday digital life | 15 |
| 1.4 Resilience and security | 16 |
| 1.5 Fraunhofer searches for practical applications | 18 |
| 2Digitization – Areas of Application and Research Objectives | 20 |
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| 2.1 Introduction | 20 |
| 2.2 Data analysis and data transfer | 21 |
| 2.2.1 The digitization of the material world | 21 |
| 2.2.2 Intelligent data analysis and simulation for better medicine | 21 |
| 2.2.3 Maintaining quality at smaller sizes via data compression | 21 |
| 2.2.4 Digital radio – better radio reception for everyone | 22 |
| 2.2.5 Transferring more data in less time:5G,edge computing,etc. | 22 |
| 2.3 Work and production | 23 |
| 2.3.1 The digitization of the workplace | 23 |
| 2.3.2 Digital and connected manufacturing | 24 |
| 2.3.3 Turning data into matter | 24 |
| 2.3.4 Cognitive machines are standing by our sides | 25 |
| 2.4 Security and resilience | 25 |
| 2.4.1 Data – the elixir of the modern world | 25 |
| 2.4.2 Industrial Data Space – retaining data sovereignty | 26 |
| 2.4.3 Data origin authentication and counterfeit protection inthe digital world | 26 |
| 2.4.4 Cybersecurity as the foundation for modern societies | 27 |
| 2.4.5 Cybersecurity technology adapted to people | 27 |
| 2.4.6 People-centered digitization | 28 |
| 3Virtual Reality in Media and Technology | 29 |
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| 3.1 Introduction: Digitizing of real objects using the exampleof cultural artifacts | 29 |
| 3.1.1 Automating the 3D digitization process with CultLab3D | 31 |
| 3.1.2 Results, application scenarios, and future developments | 35 |
| 3.2 Virtual and Augmented Reality systems optimize planning, construction and manufacturing | 37 |
| 3.2.1 Virtual Reality | 37 |
| 3.2.2 Augmented Reality | 39 |
| 3.2.3 Visualization using linked 3D data schemas | 43 |
| 3.2.4 Integration of CAD data into AR | 46 |
| 3.2.5 Augmented Reality tracking | 47 |
| 3.2.6 Tracking as a service | 48 |
| Sources and literature | 50 |
| 4Video Data Processing | 52 |
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| 4.1 Introduction: The major role of video in the digitalworld | 53 |
| 4.2 Video processing at FraunhoferHeinrich-Hertz-Institute | 56 |
| 4.3 Compression methods for video data | 57 |
| 4.4 Three-dimensional video objects | 63 |
| 4.5 Summary and Outlook | 67 |
| Sources and literature | 67 |
| 5Audio Codecs | 72 |
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| 5.1 Introduction: The dream of high fidelity | 73 |
| 5.2 Hi-fi technologies from analog to digital | 73 |
| 5.3 Current research focus areas | 75 |
| 5.3.1 The ear and the brain | 75 |
| 5.3.2 From audio channels to audio objects | 77 |
| 5.3.3 Audio objects in practice | 79 |
| 5.4 Outlook | 85 |
| Sources and literature | 85 |
| 6Digital Radio | 87 |
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| 6.1 Introduction | 88 |
| 6.2 Spectrum efficiency allows more broadcasts | 88 |
| 6.3 Program diversity | 89 |
| 6.4 Innovative services: from traffic alerts to emergencymanagement | 90 |
| 6.5 Non-discriminatory access | 92 |
| 6.6 Hybrid applications | 92 |
| 6.7 Outlook | 92 |
| 75G Data Transfer at Maximum Speed | 94 |
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| 7.1 Introduction: the generations of mobilecommunicationsfrom 2G to 5G | 95 |
| 7.2 5G vision and new technological challenges | 97 |
| 7.3 Technical key concepts: spectrum, technologyand architecture | 101 |
| 7.4 5G research at Fraunhofer HHI | 108 |
| 7.5 Outlook | 112 |
| Sources and literature | 112 |
| 8International Data Spaces | 115 |
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| 8.1 Introduction: digitization of industry and the roleof data | 116 |
| 8.2 International Data Spaces | 118 |
| 8.2.1 Requirements and aims | 118 |
| 8.2.2 International Data Space Reference Architecture Model | 120 |
| 8.2.3 State of development | 121 |
| 8.3 Case studies on the International Data Space | 123 |
| 8.3.1 Collaborative supply chain management in the automotiveindustry | 123 |
| 8.3.2 Transparency in steel industry supply chains | 125 |
| 8.3.3 Data trusteeship for industrial data | 126 |
| 8.3.4 Digital networking of manufacturing lines | 127 |
| 8.3.5 Product lifecycle management in the business ecosystem | 129 |
| 8.3.6 Agile networking in value chains | 130 |
| 8.4 Case study assessment | 131 |
| Sources and literature | 133 |
| 9EMOIO Research Project | 135 |
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| 9.1 Introduction: designing the technology of the future | 137 |
| 9.2 Adaptive and assistance systems | 138 |
| 9.3 Brain-computer interface and neuro-adaptivetechnology |
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