Abstract
Mobile payments still remain essentially an emerging technology, seeking to fill the gap between the envisioned potential and widespread usage. In this paper, we present an integrated mobile service solution based on the near field communication (NFC) protocol that was developed under a research project called MobiPag. The most distinctive characteristic of Mobipag is its open architectural model that allows multiple partners to become part of the payment value-chain and create solutions that complement payments in many unexpected ways. We describe the Mobipag architecture and how it has been used to support a mobile payment trial. We identify a set of design lessons resulting from usage experiences associated with real-world payment situations with NFC-enabled mobile phones. Based on results from this trial, we identify a number of challenges and guidelines that may help to shape future versions of NFC-based payment systems. In particular, we highlight key challenges for the initial phases of payment deployments, where it is essential to focus on scenarios that can be identified as more feasible for early adoption. We also have identified a fundamental trade-off between the flexibility supported by the Mobipag solution and the respective implications for the payment process, particularly on the users' mental model.

Abstract
The advent of next-generation many-core embedded platforms has the chance of intercepting a converging need for predictable high-performance coming from both the High-Performance Computing (HPC) and Embedded Computing (EC) domains. On one side, new kinds of HPC applications are being required by markets needing huge amounts of information to be processed within a bounded amount of time. On the other side, EC systems are increasingly concerned with providing higher performance in real-time, challenging the performance capabilities of current architectures. This converging demand, however, raises the problem about how to guarantee timing requirements in presence of parallel execution. This paper presents the approach of project P-SOCRATES for the design of an integrated framework for the execution of workload-intensive applications with real-time requirements on top of nextgeneration commercial-off-the-shelf (COTS) platforms based on many-core accelerated architectures. The time-criticality and parallelisation challenges are addressed by merging techniques coming from both HPC and EC domains, identifying the main sources of indeterminism and proposing efficient mapping and scheduling algorithms, along with the associated timing and schedulability analysis, to guarantee the real-time and performance requirements of the applications.

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.

Abstract

Abstract
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.