Abstract
Gesture-controlled applications typically are tied to specific gestures, and also tied to specific recognition methods and specific gesture-detection devices. We propose a concern-separation architecture, which mediates the following concerns: gesture acquisition; gesture recognition; and gestural control. It enables application developers to respond to gesture-independent commands, recognized using plug-in gesture-recognition modules that process gesture data via both device-dependent and device-independent data formats and callbacks. Its feasibility is demonstrated with a sample implementation.

Abstract
To motivate students to study advanced programming techniques, including the use of architectural styles such as the model-view-controller pattern, we have conducted action research upon a project based-learning approach. In addition to collaboration, the approach includes students' searching and analysis of scientific documents and their involvement in communities of practice outside academia. In this paper, we report the findings of second action research cycle, which took place throughout the fourth semester of a six-semester program. As with the previous cycle during the previous academic year, students did not satisfactorily achieve expected learning out-comes. More groups completed the assigned activities, but results continue to reflect poor engagement in the communities of practice and very low performance in other learning tasks. From the collected data we have identified new approaches and recommendations for subsequent research.

Abstract
Software engineering is an area with a wide range of concepts and knowledge. To this diversity of topics, you may need to apply different teaching and learning techniques to be effective. One such technique is the use of serious games, but the design of such games tends to be complex, currently lacking a map of game design standards that comply with the Software Engineering education requirements. This paper presents the process to identify the game design patterns that can be effective for teaching software engineering, specifically the software project management topic. The process begins by identifying the relationship between game design patterns and teaching and learning functions based on literature review. Then the work follows establishing a relationship between teaching and learning functions and software project management education through questionnaires made to software engineering teachers. Finally, it sets up the relationship between game design patterns and software project management education through an empirical study conducted with master students. These results can be used as a basis for designing and developing serious games for teaching software project management.

Abstract
Humans sense the surrounding environment through five senses: sight, hearing, taste, smell and touch. This is valid not only for real life but also when one is exposed to virtual environments. It already exists systems that exploit the sensorial stimulation of more than one sense, however there are no available low-cost solutions that allow creative professionals to create and visualize multisensory contents. On this paper it is presented a solution for the creation and delivery of multisensory contents that allow users to create their own multisensory experiments. An evaluation of the developed solution that shows the potential of these new contents is also described.

Abstract
The performance of multi-objective evolutionary algorithms can severely deteriorate when applied to problems with 4 or more objectives, called many-objective problems. For Pareto dominance based techniques, available information about some optimal solutions can be used to improve their performance. This is the case of corner solutions. This work considers the behaviour of three multi-objective algorithms [Non-dominated sorting genetic algorithm (NSGA-II), Speed-constrained multi-objective particle swarm optimization (SMPSO) and generalized differential evolution (GDE3)] when corner solutions are inserted into the population at different evolutionary stages. The problem of finding corner solutions is addressed by proposing a new algorithm based in multi-objective particle swarm optimization (MOPSO). Results concerning the behaviour of the aforementioned algorithms in five benchmark problems (DTLZ1-5) and respective analysis are presented.

Abstract
Proportional, integral and derivative controller tuning can be a complex problem. There are a significant number of tuning methods for this type of controllers. However, most of these methods are based on a single performance criterion, providing a unique solution representing a certain controller parameters combination. Thus, a broader perspective considering other possible optimal or near optimal solutions regarding alternative or complementary design criteria is not obtained. Tuning PID controllers is addressed in this paper as a many-objective optimization problem. A Multi-Objective Particle Swarm Optimization algorithm is deployed to tune PID controllers considering five design criteria optimized at the same time. Simulation results are presented for a set of four well known plants.