Abstract
The internet is acknowledge as the main tourism communication medium and business facilitator. However, its functionality in this sector has been limited to e-commerce and focused on meeting the demand, thus underusing its potential as an essential tool for offer development, through the opportunities created by e-business. Since tourism is an eminently relational activity that strengthens itself from the sum of the joint efforts of its components, but oten fragmented and dispersed, this article advocates the adoption of online interorganizational collaboration platforms, which provides na environment for interactions, cooperation, and knowledge sharing amongst the social actors of tourist destinations. The proposal is based on the methodology of discourse analysis of extant literature on the internet economy and social network theory in tourism, exemplifying the advantages and difficulties that may arise from such a strategy. Recognizing that the available literature on this subject is scarce, three questions are also identified that can be tackled by future research.

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Providing public services through the internet is an effective approach towards an encompassing number of citizens being covered by them and for cost reduction. However, the fast development of this area has fostered discussion and legislation regarding information security and trustworthiness. In addition to security mechanisms for data processed and stored internally, service providers must ensure that data exchanged between their servers and citizens are not intercepted or modified when traversing heterogeneous and uncontrolled networks. Moreover, such institutions should provide means enabling the citizen to verify the authenticity of the services offered. In this way, the present work provides a comprehensive overview regarding the security posture of Portuguese public institutions in their online services. It consists of non-invasive robustness evaluation of the deployed solutions for end-to-end data encryption and the correct use of digital certificates. As a result, we provide some recommendations aiming to enhance the current panorama in the majority of the 111 online services considered in this study.

Abstract
Unmanned Aerial Vehicles (UAVs) acting as aerial Wi-Fi Access Points or cellular Base Stations are being considered to deploy on-demand network capacity in order to serve traffic demand surges or replace Base Stations. The ability to estimate the Quality of Service (QoS) for a given network setup may help in solving UAV placement problems. This paper proposes a Machine Learning (ML) based QoS estimator, based on convolutional neural networks, which estimates the QoS for a given network by considering the UAV positions, the user positions and their offered traffic. The ML-based QoS estimator represents a novel paradigm for estimating the QoS in aerial wireless networks. It provides fast and accurate estimations with reduced computational complexity. We demonstrate the usefulness and applicability of the proposed QoS estimator using the ideal UAV placement algorithm. Simulation results show the QoS estimator has an average prediction error lower than 5%.

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This paper describes the implementation of a modular, flexible and self-organized cyber-physical conveyor system build up with different individual modular and intelligent transfer modules. For this purpose, multi-agent systems (MAS) is used to distribute intelligence among transfer modules supporting plugability and modularity, complemented with self-organization capabilities to achieve a truly self-reconfigurable system. © 2019, Springer Nature Switzerland AG.

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