Abstract This article describes the tuning of an Electrocardiogram (ECG) simulator as a benchmark problem to show the application of surrogate modelling in complex global optimisation. After presenting the background on ECG, its simulation and the optimisation task, the main concepts and methods of surrogate modelling and Efficient Global Optimisation (EGO) are presented. Here, next to the standard techniques regularly involved in the algorithm,... This article describes the tuning of an Electrocardiogram (ECG) simulator as a benchmark problem to show the application of surrogate modelling in complex global optimisation. After presenting the background on ECG, its simulation and the optimisation task, the main concepts and methods of surrogate modelling and Efficient Global Optimisation (EGO) are presented. Here, next to the standard techniques regularly involved in the algorithm, alternative approaches are discussed briefy. Finally, first results applying the depicted algorithm on the ECG simulator optimisation problem are presented. Read More Read Less

Abstract Industrial Internet of Things (IIoT) is a new concept denoting extensive use of ubiquitous connected devices on the manufacturing shop floor. While most recent research in this area focuses on the monitoring capabilities of IIoT and on the resulting data analysis, IIoT also presents an opportunity from the perspective of distributed control. The paper suggests that agent based control of an industrial... Industrial Internet of Things (IIoT) is a new concept denoting extensive use of ubiquitous connected devices on the manufacturing shop floor. While most recent research in this area focuses on the monitoring capabilities of IIoT and on the resulting data analysis, IIoT also presents an opportunity from the perspective of distributed control. The paper suggests that agent based control of an industrial process can be realized by a multiagent system in which each agent is able to learn the influence of its actions on the behaviour of the system and to communicate with other agents in its proximity. Influence of the communication structure on performance, robustness, and resilience are analysed for a case of an industrial compressed air system. The simulation results suggest that in such systems, communication between the supply and the demand side improves resilience, while the robustness is improved through learning. Read More Read Less

Abstract This paper describes a robot system that can play the popular Mediterranean card game called Briscola. It elaborates on the three main components needed for an operational platform. First, it describes several artificial intelligence agents that can play the game using a combination of probabilities, heuristics and the min-max algorithm. Second, it describes the computer vision component for card detection using both... This paper describes a robot system that can play the popular Mediterranean card game called Briscola. It elaborates on the three main components needed for an operational platform. First, it describes several artificial intelligence agents that can play the game using a combination of probabilities, heuristics and the min-max algorithm. Second, it describes the computer vision component for card detection using both classical and deep learning approaches and finally, it proposes a scheme for a robotic arm that can move the cards on the table. Read More Read Less