Abstract
In a competitive environment shaped by continuous change, the understanding of the different forces that support or hinder the development of an industry, enables more informed, and assertive decision making. As such, following a sectoral system of innovation perspective that takes into account the temporal evolution of its most important events, the main objective of this chapter is to define a set of strategic lines for the sustainable development of the Portuguese molds industry. The study supports set of strategic priorities so that the Portuguese molds industry can embrace both an international favorable position and an entrepreneurial outward looking governance perspective. This chapter proposes that the future outlook will support the diversification to and the penetration of new sectoral markets, associated with a strong international product engineering and development cluster capable of supplying integrated solutions to several international markets.

Abstract
Currently, it is possible to find various tools to deal with the unpredictability of electricity markets. However, they mainly focus on spot markets, disfavouring bilateral negotiations. A multi-agent decision support tool is proposed that addresses the identified gap, supporting players in the pre-negotiation and actual negotiation phases.

Abstract
This paper introduces ClueKing, a children's pervasive game which encompasses context-aware and parents mediation to create an informal learning environment. In this paper we review related theories of inquiry-based learning and parent involvement, the basic pedagogical model, and mobile learning and pervasive games as the technological framework. The basic concept of ClueKing defines an interactive environment where teachers define the learning goals and challenges and parents mediate their application on the home setting, the children schedule and how to promote their engagement. The system's architecture is also presented, as well as the workflows for the development of ClueKing. Since this is work in progress the paper concludes with the next steps and future work to be carried out.

Abstract

Abstract
Long period fibre gratings (LPFG) have found an increasing interest due to the easy fabrication in any kind of fibre through the induced electric arc technique with low cost and flexibility. They have been used in applications such as gain-flattening and band-rejection, and for sensing strain, temperature and chemical and biological parameters. The sensitivity of LPFG increases when the fibre is coated with certain thin films. In this short review it is presented the recent developments and applications of these kind of sensors.

Abstract
Negative effects of massive industrialization, high rates of fossil-fuel consumption, fast economic growing and technological development have positioned renewable energies as a promising manner to reach an environmentally sustainable society. Detailed knowledge about renewable resources is an important factor, but it is difficult to obtain in most places; in the case of solar and wind resources, energetic potential could vary significantly according to the local conditions. Implementation of Measure Correlate-Predict (MCP) methodology offers a partial solution to this problem; however, the associated error related to the extrapolation process could be in some cases significant. Hence, this paper presents an analytical method to incorporate MCP extrapolation error on the simulation of smart residential energy systems. Beta probability distribution function (PDF) is used to model the extrapolation error and it is combined with a simulation model to estimate PDF of renewable power generation, battery state of charge, and power imported from the distribution system, which allows obtaining a complete perspective of energy system performance.