tecs.dfki.de
TECS – Thrift Eventbased Communication Service – TECS
http://tecs.dfki.de/tecs
Thrift Eventbased Communication System. 49 681 85775 5013. TECS – Thrift Eventbased Communication Service. TECS – Thrift Eventbased Communication Service. Documentation & Source. TECS 2.0.5. October 4, 2016. About TECS-3.0.0. September 30, 2016. ProMo4ProM Production Monitoring for Process Mining. July 12, 2016. TECS 2.0.4. June 6, 2016. May 4, 2016. Made with TECS (5). TECS – Thrift Eventbased Communication Service. Posted By Christian Bürckert. Also TECS was used in a cobot seminar. At Saarland Univers...
tecs.dfki.de
MADE WITH TECS – TECS
http://tecs.dfki.de/projects
Thrift Eventbased Communication System. 49 681 85775 5013. Documentation & Source. TECS 2.0.5. October 4, 2016. About TECS-3.0.0. September 30, 2016. ProMo4ProM Production Monitoring for Process Mining. July 12, 2016. TECS 2.0.4. June 6, 2016. May 4, 2016. Made with TECS (5). Posted By Christian Bürckert. TECS is used as a middleware in the following projetcs. EyeBots Von Menschen und Robotern. Download TECS Middleware for Cyber-Physical Environments now. DFKI - Software Engineer.
tecs.dfki.de
Human-Robot-Collaboration – TECS
http://tecs.dfki.de/2016/05/04/eyebots-demonstrator
Thrift Eventbased Communication System. 49 681 85775 5013. Documentation & Source. TECS 2.0.5. October 4, 2016. About TECS-3.0.0. September 30, 2016. ProMo4ProM Production Monitoring for Process Mining. July 12, 2016. TECS 2.0.4. June 6, 2016. May 4, 2016. Made with TECS (5). Posted By Christian Bürckert. Presents the Baxter eyebots-demonstrator. As an example for human-robot-collaboration to Bundespräsident Gauck and important other visitors. Project and was also presented at the CeBIT 2016 ( Video.
madm.eu
Projects — Multimedia Analysis and Data Mining Research Group
http://www.madm.eu/projects
Multimedia Opinion Mining (MOM). This project aims to address the challenge of opinion mining of multimedia content from the web. This comprises a large-scale multi-modal analysis of social media streams and their underlying network dynamics considering different media channels such as Twitter, Flickr, YouTube, Google, and Wikipedia. The main contribution of MOM is four-fold: First. The possibility of forecasting the progression of identified opinion topics into the near future is investigated. HySociaTe...
madm.dfki.de
Projects — Multimedia Analysis and Data Mining Research Group
http://madm.dfki.de/projects
Multimedia Opinion Mining (MOM). This project aims to address the challenge of opinion mining of multimedia content from the web. This comprises a large-scale multi-modal analysis of social media streams and their underlying network dynamics considering different media channels such as Twitter, Flickr, YouTube, Google, and Wikipedia. The main contribution of MOM is four-fold: First. The possibility of forecasting the progression of identified opinion topics into the near future is investigated. HySociaTe...