11: Industrie 4.0, Vorlesung, WS 2017/18, 26.01.2018
Autor
Herausgeber
Beteiligtes Institut
Institut für Anthropomatik und Robotik (IAR)
Genre
Beschreibung
- 0:00:00 Starten
- 0:00:47 Syllabus - Winter Term 2017/18
- 0:03:58 Anomalies in a Single Time Series Signal
- 0:05:13 Criteria for Anomaly Detection
- 0:07:48 Characteristics of Univariate, Multivariate and Hybrid Anomaly Detection Methods
- 0:09:49 Characteristic of Supervised and Unsupervised Learning, and a Hybrid Method
- 0:14:12 Requirements Engineering
- 0:18:26 Elicitation-Inception
- 0:19:38 Elicitation Work Documents
- 0:21:52 Use Cases
- 0:23:37 Validating Requirements
- 0:25:50 Technology Readiness Levels
- 0:27:30 What is TRL Good for?
- 0:29:45 Waterfall Model
- 0:33:41 The Agile Manifesto
- 0:41:37 Introduction to Scrum
- 0:42:07 Scrum Roles
- 0:47:07 Scrum Pros
- 0:49:22 Scrum Cons
- 0:51:42 Safety and Quality
- 0:54:04 IEC 61508 Typical Certification Process
- 0:55:35 IEC 61508 V-model
- 0:58:56 Categories of Version Control Systems
- 1:01:22 Lock-Modify-Unlock
- 1:02:58 Lock-Modify-Merge
- 1:05:09 Introduction to git
- 1:06:50 Your Files in Your git Repository
- 1:08:29 A Commit
- 1:08:50 Synchronizing with the Server
- 1:10:05 The whole Picture
- 1:10:44 Your Workflow
- 1:12:29 Introduction to git
- 1:13:07 Git- Sample Workflow
- 1:14:48 Gerrit- A Git toolset
- 1:16:02 More Git Tools
Laufzeit (hh:mm:ss)
01:17:43
Serie
Industrie 4.0, Vorlesung, WS 2017/18
Publiziert am
06.02.2018
Fachgebiet
Lizenz
| Auflösung | 1280 x 720 Pixel |
| Seitenverhältnis | 16:9 |
| Audiobitrate | 128000 bps |
| Audio Kanäle | 2 |
| Audio Codec | aac |
| Audio Abtastrate | 48000 Hz |
| Gesamtbitrate | 934371 bps |
| Farbraum | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Medientyp | video/mp4 |
| Dauer | 4663 s |
| Dateiname | DIVA-2018-142_hd.mp4 |
| Dateigröße | 544.570.641 byte |
| Bildwiederholfrequenz | 25 |
| Videobitrate | 800269 bps |
| Video Codec | h264 |
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