Abstract
In mature countries manufacturing is one of the most significant sources of economic development and growth. In those countries, manufacturing transformation systems will be grounded on seamless collaborative environments and will have a high degree of flexibility in production, in terms of product needs (specifications, quality, design), volume, timing, resource efficiency and cost, being able to adapt to customer needs and make use of the entire network chain for value creation. Future transformations systems will be massively collaborative and will be enabled by a network-centric approach, making use of multidimensional data analytics, driven by advanced ICT and the latest available proven manufacturing technologies.

Abstract
The support of video in the learning environment is nowadays used to many ends, either for demonstration, research or share. It is intended to reinforce the space before and after class and introduce a new dynamic and interaction in the classroom itself. Pedagogical innovation may be achieved by different approaches to motivate students and obtain better results. This paper presents a revision of the literature about the potential of using video annotation in the education context, specifically in the domain of Physics, using an open source annotation tool. The creation of audiovisual references, either for quick access to parts of organized video annotated content by the teacher, knowledge building or revision by and for other students is analyzed. This study is complemented with a testbed, showing the potential of using audiovisual annotated content, within a k-12 context. Students were invited to select video content, annotate, organize and publish the annotations, which could support the learning process in the domain of Physics. Results show that most of the aspects under analysis received a positive evaluation. The only exception relates to the capacity of the approach to motivated students to the study of Physics, as most of the students did not see this methodology as a motivating means.

Abstract
E-commerce platforms explore the interaction between users and digital content – user generated streams of events – to build and maintain dynamic user preference models which are used to make mean-ingful recommendations. However, the accuracy of these incremental models is critically affected by the choice of hyper-parameters. So far, the incremental recommendation algorithms used to process data streams rely on human expertise for hyper-parameter tuning. In this work we apply our Self Hyper-Parameter Tuning (SPT) algorithm to incremental recommendation algorithms. SPT adapts the Melder-Mead optimi-sation algorithm to perform hyper-parameter tuning. First, it creates three models with random hyper-parameter values and, then, at dynamic size intervals, assesses and applies the Melder-Mead operators to update their hyper-parameters until the models converge. The main contribu-tion of this work is the adaptation of the SPT method to incremental matrix factorisation recommendation algorithms. The proposed method was evaluated with well-known recommendation data sets. The results show that SPT systematically improves data stream recommendations.

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The knowledge of the Portuguese public regarding smart cities is still limited, such knowledge being more present in the technological and business environments. Portuguese cities are starting to invest in smart issues as a response to their complexity and challenges. The ENABLE Consortium's INTELPARK Solution (fictitious names given for anonymity purposes) described herein is an example of a smart parking solution that, through the combination of hardware and software, provides key information about the parking area being managed (for example, occupancy or vehicle infraction information). This technological solution, focused on optimizing and making the management of parking areas more efficient, will serve everyone involved: from the driver to the manager. This article aims to focus on the prospective user (in this case, the driver who will park his or her vehicle in the parking area), since the consumer/traveller driving a vehicle is the main reason for the success or failure of any product and service, such as this one, in the marketplace. In addition, we are living in times of profound digital transformation in which access to information, oftentimes down to the second, becomes increasingly important for the user as well as the search for solutions that increase well-being, quality of life and comfort. Thus, 209 valid online survey answers were received, with structured questions, responses which were gathered from drivers or end users and in a non-probabilistic sampling research process. The main goal was to know how the mobile application INTELPARK, associated with this smart solution, was perceived by the end user, and to understand the potential interest in it and how frequently it would be used. The data collected was analysed through descriptive statistics and via the chi-squared test, in order to find associations between variables. The research concludes that future end users of this mobile intelligent parking application will have the following profile: they will be older, highly literate and with a higher gross monthly income. Moreover, these results also show that parking is seen to be an issue of citizenship and which promotes quality of life rather than simply being a source of revenue.