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Publications

2016

Deterioração de edifícios de granito após vários séculos expostos ao fogo e aos elementos ambientais

Authors
Sousa, A; Mendes, P; Sousa, L; Salavessa, E;

Publication
REHABEND

Abstract

2016

Optical fibers as beam shapers: from Gaussian beams to optical vortices

Authors
Rodrigues Ribeiro, RSR; Dahal, P; Guerreiro, A; Jorge, P; Viegas, J;

Publication
OPTICS LETTERS

Abstract
This Letter reports a new method for the generation of optical vortices using a micropatterned optical fiber tip. Here, a spiral phase plate (2 pi phase shift) is micromachined on the tip of an optical fiber using a focused ion beam. This is a high resolution method that allows milling the fibers with nanoscale resolution. The plate acts as a beam tailoring system, transforming the fundamental guided mode, specifically a Gaussian mode, into the Laguerre-Gaussian mode (LG(01)), which carries orbital angular momentum. The experimental results are supported by computational simulations based on the finite-difference time-domain method. (C) 2016 Optical Society of America

2016

Hybrid Process Management: A Collaborative Approach Applied to Automotive Industry

Authors
Ferreira, F; Marques, AL; Faria, J; Azevedo, A;

Publication
9TH INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY - INTELLIGENT MANUFACTURING IN THE KNOWLEDGE ECONOMY ERA

Abstract
Today, manufacturing is moving towards customer-driven and knowledge-based proactive production. Shorter product life cycles lead to increased complexity in areas such as product and process design, factory deployment and production operations. To handle this complexity, new knowledge-based methods and technologies are needed to model, simulate, optimize and monitor manufacturing systems. Existing large Enterprise Information Systems (EIS) impose structured and predictable workflow, while processes "on the ground" are often unpredictable and involve a large number of human based decisions and collaboration. This is leading to a major shift on EIS paradigm and leading to development of a set of specialized small applications, each one with fewer features, but highly specialized, flexible, cross linked and easy to use. This paper presents a hybrid management solution intended to support collaboration and decision in the scope of automotive engineering and planning. The solution, labelled as HPM - Hybrid Process Manager, encompasses a set of tools for work, information and communication management fully integrated with knowledge based engineering processes. Its overall aim is to ease the flow of information between all the partners, making it more reliable and actual, allowing a closer control and faster reaction to upcoming events. The adoption of HPM approach proves to be quite effective and efficient, leading to significant results in terms of cost and time saving. When using the solution, managers no longer need to constantly ask for reporting, leading to a significant reduction on email and paperwork. It is relevant to underline that the proposed approach allowed planners to concentrate in important issues improving the product and avoid non-value added efforts and time on collateral activities. Another main advantage stays on the experience retrieval module built in top of the solution, allowing easy access to expertise, knowledge and best practices generated by previous projects, so that they can be readily incorporated in the design of new processes as a factor of knowledge sustainability. (C) 2016 Published by Elsevier B.V.

2016

SPR based PCF D-type sensor based on a metamaterial composed of planar metals for refractive index sensing

Authors
Santos, DF; Guerreiro, A; Baptista, JM;

Publication
SIXTH EUROPEAN WORKSHOP ON OPTICAL FIBRE SENSORS

Abstract
This paper presents a numerically investigation of the performance analysis of a conventional photonic crystal fiber (PCF) with a planar metamaterials structure for refractive index sensing, based on surface plasmon resonance (SPR), using the finite element method (FEM). We study the concentration metamaterials conformed by the aluminium oxide (Al2O3) and silver (Ag) and compared its performance with a single metal (Ag), assessing their impacts in the effective refractive index. Furthermore, we also use different types of mechanics to describe the effects of varying the structural parameters sensor on the evanescent field and the sensor performance.

2016

Using User-Generated Content to Explore Hotel Service Quality Dimensions

Authors
Migueis, VL; Novoa, H;

Publication
EXPLORING SERVICES SCIENCE (IESS 2016)

Abstract
A better evaluation and understanding of the client's perception of the service provided by hotels is critical for hotel managers, especially in the "Travel 2.0" era, where tourists not only access but also actively review the service provided. This paper analyses data automatically collected from TripAdvisor reviews regarding 2 star and 5 star hotels in Porto. TripAdvisor user generated content is explored through text mining techniques with the purpose of creating word clouds, synthesizing and prioritizing the aspects of the service raised by customers. Furthermore, this content is analyzed using the SERVQUAL model to identify the service quality dimensions most valued by guests of the two types of hotels. The results of the preliminary study demonstrate that the methodology proposed allows us to identify service perceptions with reasonable effectiveness, highlighting the potential of the procedure to become a complementary tool for hotel management.

2016

A Pipelined Multi-softcore Approach for the HOG Algorithm

Authors
de Holanda, JAM; Cardoso, JMP; Marques, E;

Publication
PROCEEDINGS OF THE 2016 CONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL & IMAGE PROCESSING

Abstract
This paper describes the mapping and the acceleration of an object detection algorithm on a multiprocessor system based on an FPGA. We use HOG ( Histogram of Oriented Gradients), one of the most popular algorithms for detection of different classes of objects and currently being used in smart embedded systems. The use of HOG on such systems requires efficient implementations in order to provide high performance possibly with low energy/power consumption budgets. Also, as variations and adaptations of this algorithm are needed to deal with different scenarios and classes of objects, programmability is required to allow greater development flexibility. In this paper we show our approach towards implementing the HOG algorithm into a multi-softcore Nios II based-system, bearing in mind high-performance and programmability issues. By applying sourceto-source transformations we obtain speedups of 19x and by using pipelined processing we reduce the algorithms execution time 49x. We also show that improving the hardware with acceleration units can result in speedups of 72.4x compared to the embedded baseline application.

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