Abstract
The requirements of a website are constantly changing and evolving. In this context, managing the changes related to the baseline and reviewing the requirements' prioritization is critical. Nowadays, web analytics tools are used to analyze the behaviour of users on a website in order to improve its usability and user experience. The analysis of the usage of websites may also help software requirements maintenance which can be a contribution to the overall quality of the service provided. This paper presents an approach through a recommender system that collects the information about the usage of a website using a web analytics tools and generate recommendations reports that may help the requirements maintenance and increase the quality of the software requirements specification of the website. This paper presents also an experimental evaluation of a case study based on an online newspaper website. The results of the proposed approach provide more readable reports in a language more closer to the business and suggest requirements priority change, identify new requirements and functionalities that may be removed.

Abstract
As the number of wireless devices, services, communication standards and respective modes of operation rapidly grows, the design of reconfigurable digital baseband processing systems for radio devices becomes more important and challenging. Long Term Evolution (LTE) is among the most relevant wireless systems in 4G communications and its waveform is OFDM-based. According to the LTE mode of operation, OFDM parameters may change and influence baseband processing operations. This paper presents a dynamically reconfigurable LTE-compliant OFDM modulator for Downlink transmission able to adapt its internal hardware organization on-demand according to the digital modulation scheme and OFDM parameters, such as number of data subcarriers, IFFT size, Cyclic Prefix and window length. System reconfiguration is performed by employing FPGA-based Dynamic Partial Reconfiguration (DPR) techniques. The worst-case DPR latencies measured are 895 mu s and 1.192 ms for digital modulation and channel bandwidth adaptation, respectively. These results show that the adopted design approach is feasible in wireless baseband processing systems. Power estimations suggest that circuit specialization at run-time can potentially improve system power efficiency.

Abstract
Traffic Control is one of the fundamental problems in the management of an Automated Guided Vehicle (AGV) system. Its main objectives are to assure efficient conflict free routes and to avoid/solve system deadlocks. In this sense, and as an extension of our previouswork, this paper focus on exploring the capabilities of the Time Enhanced A* (TEA*) to dynamically control a fleet of AGVs, responsible for the execution of a predetermined set of tasks, considering an automatic warehouse case scenario. During the trial execution the proposed algorithm, besides having shown high capability on preventing/dealing with the occurrence of deadlocks, it also has exhibited high efficiency in the generation of free collision trajectories. Moreover, it was also selected an alternative from the state-of-art, in order to validate the TEA* results and compare it.

Abstract
The collection, storage, management, and anticipation of contextual information about the user to support decision-making constitute some of the key operations in most Ambient Intelligent (AmI) systems. When the instructor has a computer-based class it is often difficult to confirm if the students are working in the proposed activities. In order to mitigate problems that might occur in an environment with learning technologies we suggest an AmI system aimed at capturing, measuring, and supervising the students’ level of attentiveness in real scenarios and dynamically provide recommendations to the instructor. With this system it is possible to assess both individual and group attention, in real-time, providing a measure of the level of engagement of each student in the proposed activities and allowing the instructor to better steer teaching methodologies.

Abstract
This paper presents a study of a uniform dry sand compacted by the pluviation method and submitted to different isotropic and anisotropic stress paths. The stress states were performed in two distinct triaxial cells using specimens of 100 mm and 150 mm diameter in order to assess also the scale-effects. The small strain stiffness for each stress state was evaluated in both triaxial cells by bender elements which were assembled vertically and horizontally for the comparison of the shear wave velocity in the two directions. In the specimens of 100mm, additionally to the bender elements in the vertical direction, accelerometers were used for the improvement of the results accuracy. All tests results were analysed in order to assess the initial fabric (inherent) anisotropy and the induced anisotropy by the different anisotropic stress paths.

Abstract
This paper intends to propose a platform dedicated to a community for inclusive fashion. This platform can innovate in the awareness creation process by involving a wide range of stakeholders through a novel combination of visually-centered networking/collaboration together with a powerful recommendation system based on data analytics. This solution can potentially impact positively the well-being of more than 50 million of motor/physical disabled citizens as consumers of fashion products. This can be achieved by bringing together three different networks: (i) fashion consumers, emphasizing consumers with disabilities; (ii) companies from fashion/garment/footwear industry; (iii) social and research organizations supporting disabled people. This will allow to create individual and collective awareness about sustainability at the social level demanding the engagement of groups of citizens and industries in sharing information and knowledge and developing ideas and solutions for people with disabilities facing problems related to fashion, garment and footwear products and services.