Abstract
The failure to meet production requirements, e.g., due to condition dynamic environment condition changes, operational performance deviations or missing opportunities to adapt, leads to a decrease of competitiveness. Technological advances are then required to promote flexible and adaptive systems with the ability to reconfigure their offered services in a cost effective manner. In spite of the current research efforts, there is still a lack of automated tools to support the service reconfiguration capability at run-time, being the understanding of when and how to reconfigure crucial to support an efficient reconfiguration process. This paper focuses on the problematic of when to reconfigure a system, with the proposed service-based multi-agent system performing the dynamic service reconfiguration based on triggering strategies. This allows to discover reconfiguration opportunities to maintain the system stable and competitive, but also to explore and promote new system configurations when needed. The envisaged triggering strategies, implemented through the intelligence mechanisms embedded in the agents' behaviors, consist in the event, periodic and trend approaches following the reactive, predictive and preventive behaviors. The preliminary experimental results validate the feasibility of such triggering strategies for service reconfiguration leading to more efficient and agile systems.

Abstract
In order to overcome a number of difficulties detected on the Brazilian electricity market this paper proposes and tests a bid based short-term market. To simulate the behavior of the hydros in this new market, it was implemented an Agent-Based Model - ABM using the reinforcement QLearning algorithm, Simulated Annealing, and linear programming. In the simulations we used real data from the Brazilian power system encompassing more than 98% of the total hydro installed capacity and three years of market data. The results indicate that the management of (virtual) reservoirs can be under the responsibility of each hydro, which could save water according to their own risk perception, while it is maintained the current efficiency and security levels. Results also suggest that the final monthly short-term market prices can substantially decrease in comparison with the current prices.

Abstract
This contribution presents a new system for fast and intuitive industrial robot reprogramming. It is based on a luminous marker built with high-intensity LEDs, which are captured by a set of industrial cameras. Using stereoscopy, the marker supplies 6-DoF human wrist tracking with both position and orientation data. This marker can be efficiently attached to any working tool which then provides a way to capture human skills without further intrusion in the tasks. The acquisition technique makes the tracking very robust against lighting conditions so no environment preparation is needed. The robot is automatically programmed from the demonstrated task which delivers complete abstraction of programming concepts. The system is able to perform in real time, and is low-cost starting with a single pair of industrial cameras though more can be used for improved effectiveness and accuracy. The real-time feature means that the robot is ready to perform as soon as the demonstration is over which carries no overhead of reprogramming times. Also, there is no interference with the task itself since the marker is attached to the work tool and the tracking is contactless; the human operator can then perform naturally. The test bed is a real industrial environment: a spray painting application. A prototype has been developed and installed, and is currently in operation. The tests show that the proposed system enables transferring to the machine the human ability of manipulating a spray gun.

Abstract
The European Project Semester (EPS) is a one-semester capstone project/internship program offered to engineering, product design and business undergraduates by 18 European engineering schools. EPS aims to prepare future engineers to think and act globally, by adopting project-based learning and teamwork methodologies, fostering the development of complementary skills and addressing sustainability and multiculturalism. In 2016, two EPS@ISEP teams embraced the challenge of building a robust, inexpensive, modular, comfortable and safe wooden / metallic dome using simple techniques and sustainable materials. This challenge is demanding -requires a multidisciplinary and user-centred design -As well as rewarding -contributes to satisfy the right to adequate, safe and affordable housing as stated in the United Nations Sustainable Development Goals. The goal is to solve the problem in a modular and sustainable way, i.e., by using repetitive linear elements made of locally available materials. This approach aims to dramatically decrease the cost of production and shipping, simplify the construction process and address the needs of the dome users. Although geodesic cross-linked structures have been studied for some time, their design requires the involvement of all stakeholders as well as a team which understands and integrates the contributions from areas such as electronics, mechanics, civil, environmental or materials engineering. The project-based learning approach fosters, on the one hand, autonomy, responsibility and the ability to make sound technical-scientific choices and, on the other hand, develops teamwork, sustainable development and personal and cross-cultural communication skills, while promoting the emergence of innovative, creative and sometimes audacious solutions, typical of the youth. ©2016 ACM. © 2016 ACM.

Abstract
The recent advent of three-dimensional echocardiography has led to an increased interest from the scientific community in left ventricle segmentation frameworks for cardiac volume and function assessment. An automatic orientation of the segmented left ventricular mesh is an important step to obtain a point-To-point correspondence between the mesh and the cardiac anatomy. Furthermore, this would allow for an automatic division of the left ventricle into the standard 17 segments and, thus, fully automatic per-segment analysis, e.g. regional strain assessment. In this work, a method for fully automatic short axis orientation of the segmented left ventricle is presented. The proposed framework aims at detecting the inferior right ventricular insertion point. 211 three-dimensional echocardiographic images were used to validate this framework by comparison to manual annotation of the inferior right ventricular insertion point. A mean unsigned error of 8, 05° ± 18, 50° was found, whereas the mean signed error was 1, 09°. Large deviations between the manual and automatic annotations (> 30°) only occurred in 3, 79% of cases. The average computation time was 666ms in a non-optimized MATLAB environment, which potentiates real-Time application. In conclusion, a successful automatic real-Time method for orientation of the segmented left ventricle is proposed. © 2016 SPIE.

Abstract