Abstract
The uncertainties related to when and where Plug-in Electric Vehicles (PEVs) will charge in the future requires the development of stochastic based approaches to identify the corresponding load scenarios. Such tools can be used to enhance existing system operators planning techniques, allowing them to obtain additional knowledge on the impacts of a new type of load, so far unknown or negligible to the power systems, the PEVs battery charging. This chapter presents a tool developed to evaluate the steady state impacts of integrating PEVs in distribution networks. It incorporates several PEV models, allowing estimating their charging impacts in a given network, during a predefined period, when different charging strategies are adopted (non-controlled charging, multiple tariff policies and controlled charging). It uses a stochastic model to simulate PEVs movement in a geographic region and a Monte Carlo method to create different scenarios of PEVs charging. It allows calculating the maximum number of PEVs that can be safely integrated in a given network and the changes provoked by PEVs in the load diagrams, voltage profiles, lines loading and energy losses. Additionally, the tool can also be used to quantify the critical mass (percentage) of PEV owners that need to adhere to controlled charging schemes in order to enable the safe operation of distribution networks. © Springer Science+Business Media Singapore 2015.

Abstract
USB dongles have been used by a wide range of software manufacturers to store a copy-protected of their application's license. The licenses validation procedure through USB dongles faces several concerns, as the risks of theft or losing dongle. Also, in scenarios where the number of dongles is reduced, users may have to wait for dongle access, which may lead to loss of productivity. In this paper we propose a client/server distributed architecture for remote software licenses validation, through USB/IP protocol. The proposed approach aims to take advantage of USB/IP for distributed access to a set of USB dongles physically connected to a remote USB server, over a TCP/IP network. We describe the deployment and enhancements made to an existing open source USB/ IP implementation and also present the results obtained with this architecture in a real world scenario, for validation of computer forensics applications licenses that uses USB dongles.

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Introduction: The atraumatic preparation of the implant bed and the presence of healthy bone factors have been considered essential for osseointegration of an implant. Heat generation during bone drilling has been related with the pressure applied by the operator, characteristics of the drill bit, the drilling depth, the type of irrigation, the rotational speed of the drilling time and the density of the bone tissue. Although bone drilling practice has been performed under irrigation, recent studies in the literature propose the use of a clinical protocol without irrigation. The primary objective of this study was to use an optical fibber Bragg grating sensor to measure thermal variations during implant bed preparation using surgical drills with a new surface coating. Materials and Methods:A literature review was performed and a pilot study designed using a fresh pig's jaw at room temperature, and three drilling groups were performed: Group I - Straumann® Drill without irrigation Group II - Straumann® Drill coated Titanium Nitride and Aluminum (NiTiAl) without irrigation. Group III (Control) - Straumann®) Drill with irrigation. The perforationswere made sequentially, using drills of 2.2, 2.8 and 3.5 mm, to a depth of 10 mm, at a speed of 800 rpmand 0.2 mm/s under a constant force of 4N. Changes in temperaturewere recorded using an optical fibber Bragg grating sensor, placed in an intra-osseous location.Results:Implant bed preparation procedure produced a temperature rise of: 0.39°C to 0.53°C, 1.28°C to 2.70°C, and 1.57°C to 4.39°C in group I, II and III respectively. The drills coated with NiTiAl and without irrigation have a lower temperature increase when compared with the uncoated drills, maintaining the procedure without irrigation. Discussion and Conclusions: The optical fibber Bragg gratings sensors have the ability to register changes in temperature that occur during the preparation of the implant bed. The coating of surgical drills with NiTiAl caused a minor increase of temperature in comparison with drills without coating. Perforations without irrigation performed at a speed of 800 rpm with a force of 4N do not seem to significantly increase the temperature in bone. © 2014 Taylor & Francis Group, London.

Abstract
The description of data is a central task in research data management. Describing datasets requires deep knowledge of both the data and the data creation process to ensure adequate capture of their meaning and context. Metadata schemas are usually followed in resource description to enforce comprehensiveness and interoperability, but they can be hard to understand and adopt by researchers. We propose to address data description using ontologies, which can evolve easily, express semantics at different granularity levels and be directly used in system development. Considering that existing ontologies are often hard to use in a cross domain research data management environment, we present an approach for creating lightweight ontologies to describe research data. We illustrate our process with two ontologies, and then use them as configuration parameters for Dendro, a software platform for research data management currently being developed at the University of Porto.

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