2014
Autores
Layeghi, A; Latifi, H; Frazao, O;
Publicação
IEEE PHOTONICS TECHNOLOGY LETTERS
Abstract
A novel magnetic field sensor using a nonadiabatic tapered optical fiber (NATOF) interacting with magnetic fluid (MF) nanoparticles is proposed and experimentally demonstrated. The NATOF sensitivity when is subjected to refractive index (RI) measurement in the small range from 1.3380 to 1.3510 was 1260.17 nm/RIU as a refractometer sensor. The NATOF is surrounded by a MF whose RI changes with external magnetic field, which MF is as a cladding of tapered fiber. The output interference spectrum is shifted by the change of the applied magnetic field intensity in the range up to 44 mT with a sensitivity of -7.17 x 10(-2) nm/mT, used only 0.1% of the volume concentration of MF nanoparticles. This direct manipulation of light with magnetic fields provides an approach to develop future sensors relying on electromagnetic interactions.
2014
Autores
Silvano, C; Cardoso, JMP; Hübner, M;
Publicação
PARMA-DITAM@HiPEAC
Abstract
2014
Autores
Silva, FMA; Castro Dutra, Id; Costa, VS;
Publicação
Euro-Par
Abstract
2014
Autores
Pernes, D; Cardoso, JS; Oliveira, HP;
Publicação
2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
Abstract
Breast cancer is one of the most mediated malignant diseases, because of its high incidence and prevalence, but principally due to its physical and psychological invasiveness. Surgeons and patients have often many options to consider for undergoing the procedure. The ability to visualise the potential outcomes of the surgery and make decisions on their surgical options is, therefore, very important for patients and surgeons. In this paper we investigate the fitting of a 3d point cloud of the breast to a parametric model usable in surgery planning, obtaining very promising results with real data.
2014
Autores
Carvalho, LHH; Floridia, C; Franciscangelis, C; Parahyba, VE; Silva, EP; Gonzalez, NG; Oliveira, JCRF;
Publicação
Optical Fiber Communication Conference
Abstract
2014
Autores
Ferreira, I; Cabral, JA; Saraiva, P; Oliveira, MC;
Publicação
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Abstract
The design of injection mold tools is a complex process for which market pressures demand ever-shorter development time and higher quality level. Thus, it is considered imperative to adopt new methods and tools to support the design process, in order to achieve a more effective mold design solution. Based on this assumption, a multidisciplinary framework was developed, centered on Design for Six Sigma methodology and reinforced with a set of highly valued techniques, namely: the European Customer Satisfaction, the Axiomatic Design and the Multidisciplinary Design Optimization. As a result, a platform was built to support the design of any mold tool without undercuts, which tackles the design of an injection mold as a fully integrated multidisciplinary optimization problem, oriented by customer preferences and their impositions. A set of specific analysis sub-modules is integrated through an overseeing optimization code system, responsible for the numerical simulation of the injection process. This platform was validated through the comparison with an existing mold, whose results attained highlight the great potential of the proposed framework to achieve mold design improvement. In particular, the value of mold solutions generated led to a global improvement on mold performance by 5 %.
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