The main aim of this paper is to present how to transform user requirements models into a software architecture for mobile applications.

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The main aim of this paper is to present how to refine software logical architectures by application of a recursive model-based transformation approach called 4SRS (four step rule set). It is essentially based on the mapping of UML use case diagrams into UML object diagrams. The technique is based on a sequence of steps that are inscribed in a tabular representation that is used to derive the software architecture for a focused part of the global system.

Anomalies on road pavement cause discomfort to drivers and passengers, and may cause mechanical failure or even accidents. Governments spend millions of Euros every year on road maintenance, often causing traffic jams and congestion on urban roads on a daily basis. This paper analyses the difference between the deployment of a road anomalies detection and identification system in a “conditioned” and a real world setup, where the system performed worse compared to the “conditioned” setup. It also presents a system performance analysis based on the analysis of the training data sets; on the analysis of the attributes complexity, through the application of PCA techniques; and on the analysis of the attributes in the context of each anomaly type, using acceleration standard deviation attributes to observe how different anomalies classes are distributed in the Cartesian coordinates system. Overall, in this paper, we describe the main insights on road anomalies detection challenges to support the design and deployment of a new iteration of our system towards the deployment of a road anomaly detection service to provide information about roads condition to drivers and government entities.

Abstract-This paper presents the first developments of an industrial network laboratory prototype. In the Automation Laboratory several kits have been implemented for local and remote control tests. The approach includes the design and implementation of an industrial network where the common communications protocols can be tested: the Automation Network Locker (ANL). To facilitate the monitoring and control of the network, WALC (Web Assisted Laboratory for Control Engineering on-line Education) interface platform was developed. This allows the remote monitoring and control of the pedagogic kits to complement the teaching/learning automation to undergraduate engineering students. The security of network access is also taken into account in order to limit and control the number of users that can access it. An on-line questionnaire accessed at the end of each semester, allows an actualization and to follow the students' feedback.