Abstract
Contemporary manufacturing scheduling has still limitations in real-world environments where disturbances on working conditions could occur over time. Therefore, human intervention is required to maintain real-time adaptation and optimization and efficiently adapt to the inherent dynamic of markets. This paper addresses the problem of incorporating rush orders into the current schedule of a manufacturing shop floor organization. A set of experiments were performed in order to evaluate the applicability of supervised classification algorithms in the attempt to predict the best integration mechanism when receiving a new order in a dynamic scheduling problem.

Abstract
In the last years, new technologies - referred as emerging information and communication technologies (EICTs), have appeared and are immersed in peoples' lives assisting them and facilitating their daily activities. Taking advantage of the diffusion and infusion of these technologies, governments are using EICTs to deliver better public services to citizens. However, to address citizens' demands and to provide customer oriented services governments face various types of challenges. The aim of this research work is to provide solutions to some of the challenges, in particular to the rapid development of electronic public services (EPS) and the service integration in the context of development of smart cities. Following the aim, we propose an approach, called Virtual Factory for Smart City Service Integration. The idea of the virtual factory is to provide a framework to automatically produce software based on a given set of specifications of a family of EPS taking advantage of similarities in the EPS business processes. The expected contributions of this research work is to produce a domain specific language (DSL) for service specification and supporting tools that based on the produced specifications, workflow techniques and ideas of software product lines (SPL) can automatically produce software applications for EPS that can be easily parameterized and completed. Copyright 2014 ACM.

Abstract
Hop constraints are used to limit the number of links between two given points in a network, this way improving the quality of service by increasing the availability and reliability of the network. They have been applied to a limited number of problems, although their application can be of the greatest importance both from the academical and practical points-of-view. In this work, we survey relevant and recent works on hop-constrained problems focusing on problems with free shaped solutions.

Abstract
The number and size of 3D object repositories have been increasing at a considerable rate. Consequently, finding a specific 3D model in such collections is getting more difficult. Current 3D search engines do not take advantage of novel interaction technologies, usually presenting query results in grids of thumbnails. This greatly hinders objects' interpretation and allows little to none manipulation at all. Immersive environments are believed as promising solutions for displaying 3D models, allowing complete representations of the models. These environments can be enhanced with multimodal techniques for a more natural interaction. In this paper we present a prototype that uses immersive visualization and mid-air interactions to explore query results in a dataset with 3D objects, using one of four different visualization modes. We evaluated these modes with 29 users and concluded that our immersive approaches are preferred by users and, albeit novel, perform at par relatively to traditional bi-dimensional grids with thumbnails.

Abstract
This book presents a careful selection of the contributions presented at the Mathematical Methods in Engineering (MME10) International Symposium, held at the Polytechnic Institute of Coimbra- Engineering Institute of Coimbra (IPC/ISEC), Portugal, October 21-24, 2010. The volume discusses recent developments about theoretical and applied mathematics toward the solution of engineering problems, thus covering a wide range of topics, such as: Automatic Control, Autonomous Systems, Computer Science, Dynamical Systems and Control, Electronics, Finance and Economics, Fluid Mechanics and Heat Transfer, Fractional Mathematics, Fractional Transforms and Their Applications, Fuzzy Sets and Systems, Image and Signal Analysis, Image Processing, Mechanics, Mechatronics, Motor Control and Human Movement Analysis, Nonlinear Dynamics, Partial Differential Equations, Robotics, Acoustics, Vibration and Control, and Wavelets. © Springer Science+Business Media Dordrecht 2014.

Abstract
An aneurysm is a life-threatening condition,which left untreated may burst or rupture, causing massive blood loss. One of the currently available treatments for aortic aneurysms is endovascular aneurysm repair (EVAR). However, in spite of major advances in the surgical techniques, complications are still likely to occur making it recommendable to maintain lifelong surveillance. In order to reduce and even eliminate current surveillance imaging exams, as well as to reduce follow-up costs, new technological solutions are being pursued. The work presented herein aims to develop a novel and dependable non- invasive coronary stent-graft monitoring system based on RFID technology. The monitoring system uses an inductive coupling interface to capture the pressures given by a cluster of sensors placed on the stent-graft's wall. The application of multimodal data fusion techniques enables the improvement of the surveillance system performance in terms of accuracy, robustness and reliability. The processing of the pressure signalsmeasured inside the aneurysm sac with other physiological signals - electrocardiogram (ECG) and arterial blood pressure (ABP) - will allow obtaining better monitoring resolution and reliability. The techniques utilized to diagnose deviations fromthe normal operation or faults in the flexible pressure sensors are described and tested, showing promising results for achieving a highly reliable system. © 2014, Springer International Publishing Switzerland.