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11: Industrie 4.0, Vorlesung, WS 2018/19, 11.01.2019
Autor
Herausgeber
Beteiligtes Institut
Institut für Anthropomatik und Robotik (IAR)
Genre
Beschreibung
- 0:00:00 Start
- 0:00:30 Syllabus – Winter Term 2018/19
- 0:03:02 Safety
- 0:05:24 Benefits
- 0:07:35 COntinuous Integration
- 0:08:22 Continuous Integration Workflow
- 0:11:52 CI in the clouds
- 0:14:21 QNX Momentics Tool Suite – CI for RT-systems
- 0:16:04 QNX Momentics
- 0:22:12 Industry 4.0: Data Analytics and ML Use Cases
- 0:41:50 Recap: Reinforcement Learning
- 0:47:25 Speed Optimization
- 0:58:00 Production Line: Throughput Optimization
- 1:03:48 Production Line: Scheduling/Workflow Optimization
- 1:04:45 Production Line: Energy Optimization
- 1:05:37 Robot Skill Learning
- 1:09:48 Robot Path Planning
- 1:12:29 Business: Optimization Demand Forecast
- 1:13:14 Industry 4.0: Data Analytics and ML Use Cases
- 1:19:48 Motivation: Predictive Maintenance
- 1:22:46 Machine Learning Algorithms for Predictive Maintenance
Laufzeit (hh:mm:ss)
01:23:52
Serie
Industrie 4.0, Vorlesung, WS 2018/19
Publiziert am
14.01.2019
Fachgebiet
Lizenz
| Auflösung | 1280 x 720 Pixel |
| Seitenverhältnis | 16:9 |
| Audiobitrate | 128000 bps |
| Audio Kanäle | 2 |
| Audio Codec | aac |
| Audio Abtastrate | 48000 Hz |
| Gesamtbitrate | 934030 bps |
| Farbraum | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Medientyp | video/mp4 |
| Dauer | 5032 s |
| Dateiname | DIVA-2019-29_hd.mp4 |
| Dateigröße | 587.553.360 byte |
| Bildwiederholfrequenz | 25 |
| Videobitrate | 799939 bps |
| Video Codec | h264 |
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