Abstract
Procedural modeling techniques reduce the effort of creating large virtual cities. However, current methodologies do not allow direct user control over the generated models. Associated with this problem, we face the additional problem related to intrinsic ambiguity existing in user selections. In this paper, we propose to address this problem by using a genetic algorithm to generalize user-provided point-and-click selections of building elements. From a few user-selected elements, the system infers new sets of elements that potentially correspond to the user's intention, including the ones manually selected. These sets are obtained by queries over the shape trees generated by the procedural rules, thus exploiting shape semantics, hierarchy and geometric properties. Our system also provides a complete selection-action paradigm that allows users to edit procedurally generated buildings without necessarily explicitly writing queries. The pairs of user selections and procedural operations (the actions) are stored in a tree-like structure, which is easily evaluated. Results show that the selection inference is capable of generating sets of shapes that closely match the user intention and queries are able to perform complex selections that would be difficult to achieve in other systems. User studies confirm this result.

Abstract
Study of the adoption of non-traditional tools as support for Higher Education curricula in Electrical Engineering and Computers. We highlight the use of blended-learning, interactive and remote virtual laboratories, computer simulation, and methodologies, such as Active Learning and Problem Based Learning and their applications in the curricular units of the course. The study is a literature review with the systematization and presentation of the findings through a conceptual map. We concluded that the initiatives that have resorted to new technologies in engineering degrees, as well as reports of similar experiments on this topic, are reduced, not formalized in curricula, and ad hoc.

Abstract
The evolution and advances in technology bring with them a strong necessity of fast adaptation of the multiple industries and sectors, in order to meet market requirements. This paper is a case study based on qualitative research, which addresses the implementation of an automated system in a Portuguese pharmacy. The aim was to understand how these systems work, and what advantages and disadvantages exist as well as to understand what awaits us in the future in the pharmaceutical field through the analysis of a real example. A personal interview was performed, in January 2018, with the owner and director of the Giro pharmacy; a session of passive observation was also realized. The aim was to learn about and observe the implementation of an automated system for the distribution of products from storage. The advantage of the system is that it allows for a more personalized service, as the employee does not need to be absent at any time during the delivery of the service. Innovation and its source was also a topic during the interview. International contacts and observing how firms function in other countries which are technologically more advanced (e.g. in Germany) were revealed as being important.

Abstract
Cutting and Packing (C & P) problems arise in many industrial and logistics applications, whenever a set of small items, with different shapes, has to be assigned to large objects with specific shapes so as to optimize some objective function. Besides some characteristics common to combinatorial optimization problems, the distinctive feature of this field is the existence of a geometric subproblem, to ensure that the items do not overlap and are completely contained in the large objects. The geometric tools required to deal with this subproblem depend on the shapes (rectangles, circles, irregular) and on the specific conditions of the problem being solved. In this chapter, after an introduction that describes and classifies Cutting and Packing problems, we review the basic strategies that have appeared in the literature for designing constructive algorithms, local search procedures, and metaheuristics for problems with regular and irregular shapes.

Abstract
In small and rural regions, where we can many times find top quality products, there is, many times, a greater difficulty in promoting their products. This difficulty begins in the nature of the companies that manufacture these products. These companies are typically family-owned or small-sized, not having large capacity to carry out very elaborate marketing strategies. They often depend of the tourist attractiveness of the regions themselves to leverage their sales. This paper discuss the challenges for the promotion of regional products and rural regions, review the role of smartphones and the main tag-based contextualization mechanisms and their potential for leverage the sale of rural regional products and, finally, presents a cooperation-based conceptual model, where are combined contextualization-tags and mobile devices to promote regional products, leverage sales and promote rural regions by attracting new visitants, making regional products a window-mechanism to the promotion of rural regions heritage and tourism-related services.

Abstract
Due to strong improvements and developments achieved in the last decade, it is clear that applied research using remote sensing technology such as unmanned aerial vehicles (UAVs) can provide a flexible, efficient, non-destructive, and non-invasive means of acquiring geoscientific data, especially aerial imagery. Simultaneously, there has been an exponential increase in the development of sensors and instruments that can be installed in UAV platforms. By combining the aforementioned factors, unmanned aerial system (UAS) setups composed of UAVs, sensors, and ground control stations, have been increasingly used for remote sensing applications, with growing potential and abilities. This paper's overall goal is to identify advantages and challenges related to the use of UAVs for aerial imagery acquisition in forestry and coastal environments for preservation/prevention contexts. Moreover, the importance of monitoring these environments over time will be demonstrated. To achieve these goals, two case studies using UASs were conducted. The first focuses on phytosanitary problem detection and monitoring of chestnut tree health (Padrela region, Valpacos, Portugal). The acquired high-resolution imagery allowed for the identification of tree canopy cover decline by means of multi-temporal analysis. The second case study enabled the rigorous and non-evasive registry process of topographic changes that occurred in the sandspit of Cabedelo (Douro estuary, Porto, Portugal) in different time periods. The obtained results allow us to conclude that the UAS constitutes a low-cost, rigorous, and fairly autonomous form of remote sensing technology, capable of covering large geographical areas and acquiring high precision data to aid decision support systems in forestry preservation and coastal monitoring applications. Its swift evolution makes it a potential big player in remote sensing technologies today and in the near future.