FAU’s Alexander, our news publication, reports about the 2016 AMOS projects and their demo-day (in German). We would like to add the AMOS testimonials ;-). Thanks to team 2 which served as the example. Please see the PDF or the screenshots below.
Tobias Jähnel of AVL DiTEST wrote to us about their experiences as a project sponsor in the 2016 AMOS Project:
AVL DiTEST sponsored an AMOS project in 2016. The content of this project was the development of a Wireshark Plug-In for the analysis of Vehicle Diagnostic communication on Ethernet. This software is now an extremely helpful tool for our work. Our developers and vehicle specialists use it on an almost daily basis and meanwhile it is also in use by our customers. The students implemented the content of the whole specification ISO 13400-2, which is far more than we expected. We are actively improving the tool, which is easy because of the good project structure and documentation we received.
It was a pleasure working with a team of motivated and skillful students. They worked self-organised and reacted quickly on feedback. Through the lectures and coaching by the university the students were very well equipped.
We will definitely target another AMOS project for next year.
Thank you, Tobias and AVL DiTest for your sponsorship and engagement in the 2016 AMOS projects!
This (summer) semester 2016 we started recording AMOS guest speakers and also one AMOS team meeting to illustrate student teams go about their work. Thank you to team 2, mobile robot, in collaboration with Develop Group, for letting us film them! Below, please find the video of the session.
Link to video portal.
Andreas Gärtner of Senacor, the sponsor of the 2016 AMOS Project Conference App, writes to us:
[…] zunächst nochmal auf diesem Weg mein/unser Dank für die Möglichkeit an AMOS teilzunehmen. Wir haben sehr positive Erfahrungen gemacht und waren sehr erfreut über Qualität der Arbeit, der Zusammenarbeit und des Ergebnisses. Auch, wenn wir die entstandene App noch nicht unmittelbar einsetzen können, überlegen wir, wie wir den letzten Feinschliff bis zur “Produktreife“ noch hinkriegen (z.B. im Rahmen eines Praktikums oder einer Werkstudententätigkeit). Insofern sind wir sehr daran interessiert, auch nächstes Jahr wieder an AMOS teilzunehmen. […]
Thank you, Andreas and Senacor, for your guidance and sponsorship!
Students who are interested in continuing the work with Senacor should contact them directly; alternatively you can go through us for this and other opportunities.
Team / Project Cognimaster reports:
In cooperation with the industry partner, Knowis AG, the team 9 of the AMOS project developed a product called “Cognimaster”. It is a cognitive service based web application, providing insights on unstructured (big) data from social media and news in order to obtain the Credit profile of a company.
Tapping into the newest technology of cognitive computing, the team used the Artificial intelligence technology from IBM (a.k.a. “Watson”) to explore the possibilities to aid decision-making in the financial sector. The application can be used to research any middle to large companies, taking into account the customers’ feedback on the companies and / or their products both directly from the customers, using twitter social network, and indirectly, using news articles available on the web. The cognitive services perform natural language analysis to define “sentiment” (positive or negative “mood”) of the text.
The main value of the product is that the customer feedback loop is shortened dramatically in comparison with the time, when the structured data starts “feeling” the impact of the customer feedback on the recent product launch or company – related news.
As the technology is still young, there is room for improvement of the unstructured data analysis results. With further development of this technology in future, highly precise big data analysis results will be available at any moment of time, revolutionizing managerial decision-making in not only financial industry, but many others as well.
Key words: cognitive computing, Watson, IBM cognitive services, artificial intelligence, credit profile, big data.
Team / Project Conference App reports:
As part of the lecture AMOS we developed an App to organize conferences.
The App allows the organizer to create and update events and track the number of participants.
The participants are able to use the App to register for events, receive the agenda and additional information, participate in Live Voting or give feedback for an event.
|Our Industry Partner||As leading service provider for IT Transformations in the German market Senacor accompanies enterprises from planning till realization.|
Our team consisted of two Product Owner: Marina Kurbanova and Katharina Grasser and five Software Developer: Clemens Hübner, Murad Isayev, Luong Trung, Najm Askri and Sonia Hidri.
In summary our team consists of students from 5 different countries which made team work very interesting and instructive – a very good experience.
Team / Project Rogue Vision reports:
Students of the Agile Methods Open Source Project teamed up with Siemens Corporate Technology to develop Rogue Vision, an Open Source Industry 4.0 Data Analytics Application. The App enables remote monitoring of the Siemens flexible transportation line Demonstrator.
The Demonstrator was developed by Siemens AG together with Festo, SAP and Deutsche Telekom as an Industry 4.0 research project for the IT-Gipfel 2015 event in Berlin. Core of this Demonstrator is a flexible transportation system with so called Carriers as production containers that can be tracked and controlled individually on the production line.
The software system that was developed by the FAU Students is able to identify and visualize the energy consumption and the position of the Carriers on their way through the production line. As a result, it is possible to see different types of Carrier contamination types that are based on increased energy consumption of the Carriers. Additionally, Rogue Vision has possibilities to display the flexibility of the Demonstrator line by visualizing the Carrier speeds of the individual Carriers. The goal is to possibly integrate these functionalities into the production environment to detect Carrier Contamination or issues on the Demonstrator in real time.
For further information and technological details please check out the project wiki.
Team / Project CAODIC reports:
CAODIC – Collision Avoidance using Object Detection and Inter-car Communication
As part of the course AMOS (Agile Methoden und Open Source), Team 5 developed a program for object detection and inter-car communication.
Team / Projects DoIP Wireshark Plugin reports:
|Topic||DoIP Wireshark Plugin|
|Team Members||Tobias Ibler, Waqas Hasan, Sebastian Schinabeck, Dustin Nguyen, Michael Körber|
|Industry Partner||AVL DITEST GmbH|
As cars depend more and more on IT, the currently used and outdated CAN Bus needs to be replaced by a newer technology: Ethernet. Therefore, DoIP (Diagnostic communication over Internet Protocol – ISO-norm 13400-2:2012(E)) has been developed. It’s a protocol layer on top of UDP/TCP and serves the main goal of sending diagnostic information. Nowadays, only few cars use this technology, but in the future there will be a rapidly growing number of cars supporting DoIP communication.
On this account, the AMOS-project with our industry partner AVL DITEST GmbH was about developing a Wireshark Plugin that helps to read the DoIP protocol easily. Therefore, the Plugin analyzes and visualizes DoIP messages sent between a Tester and the car’s ECUs according to the ISO-norm.
Wireshark is a cross-platform network protocol analyzer. It lets you capture and interactively browse the traffic running on a computer network. Wireshark is freely available and released under GNU General Public License version 2.
After 13 weeks of hard project work using an agile approach, we have been able to finish our project on time and demonstrated the Plugin on the AMOS Demo Day on July 13, 2016. Even though we suffered three students leaving the project team early, we consider our outcome as huge success.
Finally, we would like to thank our industry partner AVL DITEST GmbH for the great collaboration and Prof. Riehle’s team for the support during the project.
For further information, please check out our project repository.
Team / Project MORFeus reports:
Our project, the Mobile Robot Framework, was conducted in cooperation with the Develop Group. Our objective was to build a mobile, platform independent framework that would allow interaction and communication with the robot provided by the Develop Group. We lovingly named the robot MORFeus. Our team consisted of 6 computer science graduate students and one international information systems graduate student. All of us were highly motivated to work on this project. The atmosphere in the group was outstanding and all the team members bonded astoundingly well over the course of the project. This and our high qualification lead to a result that exceeded the expectations of our supervisor and our industry partner and ourselves.
Although it was a challenge finding into the Scrum process, our team meetings became succeedingly productive and professional as we got used to each other. A highlight of every sprint-meeting was experiencing the new functionalities that our robot and framework could perform every week. The constant improvement in our software defiantly helped to keep hopes high and tempers low. Every milestone in our project felt like a great achievement that we had reached together. And only through our teamwork could we overcome the numerous challenges that stood in our way. The difficult implementation of the camera stream (which caused several sleepless nights), the reworking of the collision sensors and finally the integration of joystick controls were no small feats, but we accomplished them together.
All of us are glad that we participated in this project together. It was a lot of work and dedication that we put into this project, but while we drive around MORFeus and see other people interact with the framework we built, we all agree that it was worth it.
Team: Markus, Florian, Andreas, Jan, Maximilian, Valerie, MORFeus, Martin and our industry partners