IEESD 2019 Program
IEESD 1: The 9th IEEE International Workshop on Industrial Experience in Embedded Systems Design
Monday July 15, 8:00 – 9:30
Location: Ballroom C
Session Chairs: Detlef Streitferdt, Technische Universität Ilmenau, Germany
Tiberiu Seceleanu, ABB Corporate Research, Sweden
Modern Architecture for Deep Learning-based Automatic Optical Inspection
Johannes Richter and Detlef Streitferdt
A Data-Driven Approach to Energy Cost Prediction of Dwellings Based on Parallel Regression Model
Yingjie Zhang, Yujie Gong, Daniel Morgan and Ying Zhang
Experiencing Technology Independence
Anton Urvantsev, Morgan Johansson, Nils Muellner and Tiberiu Seceleanu
IEESD 2: The 9th IEEE International Workshop on Industrial Experience in Embedded Systems Design
Monday July 15, 10:00 – 12:00
Location: Ballroom C
Session Chairs: Tiberiu Seceleanu, ABB Corporate Research, Sweden
Detlef Streitferdt, Technische Universität Ilmenau, Germany
Embedded Control System for Decentralized Wastewater Treatment
Tamer Omar, Olusegun Bamgbose, Ibrahim Naffaa and Omar Naffaa
Towards a Framework for Safe and Secure Adaptive Collaborative Systems
Aida Causevic, Alessandro Papadopoulos and Marjan Sirjani
How to Bring Project Management of Embedded Systems to an Appropriate Level of Abstraction for a Discrete Event Model
Maxi Weichenhain, Wolfgang Fengler and Detlef Streitferdt
Call for Papers
Industrial systems are more and more changed to more complex, smart and autonomous systems of systems. Although differently sized we can see a shift towards increased computational power to solve the smart part of the tasks and act autonomously. The integration of such systems into a complex system-of-systems, the smart, autonomous and at the same time safe interaction of these systems with their environment as well as with other autonomous systems are important questions in the design and development of large industrial systems.
Current high end computing platforms enable more functionality to be placed in an autonomous embedded system. In addition, connectivity is enabled by different and very affordable communication modules. Thus, more and more embedded systems are counted among systems in the smart internet-of-things domain. Such systems gather and deliver many different data elements which in the end are forming a huge data stream and enable smart analyses and smart decisions.
The additional complexity of industrial systems composed of the above mentioned smaller modules is a new challenge in the Industry 4.0 arena. Adapted software development methods/processes with their technologies and accompanying tools need to be analyzed. In addition, the models of such systems, on a higher structural level, need to be adapted and further developed as well. Especially their integration towards simulation models for a complete system test are needed to predict any errors early in the development cycle.
The theme of this workshop is to continuously gather current requirements of autonomous technical systems which are highly interrelated through defined interfaces and embedded in a complex environment. We need to analyze the autonomous requirements, their implementation and their possible abstractions towards early and accurate simulation models.
Different beneficial approaches for assessing and modeling such complex embedded systems are needed and will foster the application and further development of scientific approaches in the domain of autonomous / smart systems and interrelated technical systems.
Scope of the Workshop
Papers are expected to cover (non-restrictively) one or more of the following topics:
- Adaptable, evolvable software and hardware architectures, execution models and runtime platforms
- Smart system of systems
- Artificial Intelligence in industrial systems
- Experience reports with smart embedded technical systems out of different domains
- Model-driven development for smart embedded systems
- Product lines architectures, software architectures for complex embedded systems
- Testing of complex embedded systems and system of systems
- Evaluation and analysis of software architectures
- Development methods, processes and tools for complex embedded systems
- Coupling of devices and enterprise applications