Abstract
The Traveling Salesman Problem (TSP) is one of the most studied optimization problems. Various meta heuristics (MHs) have been proposed and investigated on many instances of this problem. It is widely accepted that the best MH varies for different instances. Ideally, one should be able to recommend the best MHs for a new TSP instance without having to execute them. However, this is a very difficult task. We address this task by using a meta-learning approach based on label ranking algorithms. These algorithms build a mapping that relates the characteristics of those instances (i.e., the meta-features) with the relative performance (i.e., the ranking) of MHs, based on (meta-)data extracted from TSP instances that have been already solved by those MHs. The success of this approach depends on the quality of the meta-features that describe the instances. In this work, we investigate four different sets of meta-features based on different measurements of the properties of TSP instances: edge and vertex measures, complex network measures, properties from the MHs, and subsampling landmarkers properties. The models are investigated in four different TSP scenarios presenting symmetry and connection strength variations. The experimental results indicate that meta-learning models can accurately predict rankings of MHs for different TSP scenarios. Good solutions for the investigated TSP instances can be obtained from the prediction of rankings of MHs, regardless of the learning algorithm used at the meta level. The experimental results also show that the definition of the set of meta-features has an important impact on the quality of the solutions obtained.

Abstract
Due to the differences in terms of antenna height, scatterer density, and relative speed, V2I links exhibit different propagation characteristics compared to V2V links. We develop a geometry-based path loss and shadow fading model for V2I links. We separately model the following types of V2I links: line-of-sight, non-line-of-sight due to vehicles, non-line-of-sight due to foliage, and non-line-of-sight due to buildings. We validate the proposed model using V2I field measurements. We implement the model in the GEMV2 simulator, and make the source code publicly available.

Abstract
Entrepreneurship has become a dynamic field of research in the last two decades. However, rural entrepreneurship' has been largely overlooked. It seems therefore timely to present a quantitative survey of the literature in this particular area. Based on 181 articles on rural entrepreneurship published in journals indexed in Scopus, we found that rural entrepreneurship is an essentially European concern, whose most prolific authors are affiliated with institutions in the UK and Spain. Organisational characteristics, policy measures and institutional frameworks and governance have attracted considerable attention in recent years, being considered emergent topics of research. In contrast, theory building has not attracted much research over the period in analysis, which suggests that the theoretical body of rural entrepreneurship is still incipient, hindering the establishment of its boundaries and of a suitable research agenda. Empirical literature on rural entrepreneurship has focused mainly on developed countries, most notably, the UK, the USA, Spain, Finland and Greece. Given the potential rural entrepreneurship represents for less developed and underdeveloped countries, more research on the topic targeting these countries is an imperative.

Abstract

Abstract
Interest in robotics field as a teaching tool to promote the STEM areas - Science, Technology, Engineering and Mathematics has grown in the past years. The search for costless solutions to promote robotics is a major challenge and the use of real robots always increases associated costs. An alternative to this is the use of a simulator. The construction of a simulator related with the Portuguese Autonomous Driving Competition using Gazebo as 3D simulator and Robotics Operating System (ROS) as a middleware connection to promote, attract, and enthusiasm university students to the mobile robotics challenges is presented. The proposed simulator focus on the autonomous driving competition task, such as semaphore recognition, localization, and motion control. An evaluation of the simulator is also performed, leading to an absolute error of 5.11% and a relative error of 2.76% on best case scenarios relating to the odometry tests and an accuracy of 99.37% regarding to the semaphore recognition tests performed.

Abstract
Recent developments under the term Smart Grid change how users consume electricity and interact with the power grid. Smart metering and energy management are developments that transform the yet passive energy consumer to a participant that is actively involved in the energy market by using variable energy tariffs or by demand-response services. But such functionality demands a platform that integrates all smart devices in the users property, connects to external services and electricity providers, and has interfaces that provide information and control to the user. AnyPLACE will develop such platform. Based on the latest legislation in the European member states, it will incorporate smart meters and create links to external service providers. Furthermore, it connects the devices in the property of the end-user in order to be able to fully monitor and control the energy consumption. This paper presents the AnyPLACE idea and the problems that are solved on the communications aspect. It provides an in-depth analysis of current European legislation in the context of smart metering and provides the requirements that need to be realized by the platform. Additionally, it proposes a strategy to create a solution that can be used in any place of Europe. The paper also incorporates the security and privacy requirements in different domains and sketches a solution and architecture to fulfill these by incorporating existing open source implementations as provided by the openHAB project.