2,104 research outputs found
Dataset for: 152km-range single-ended distributed acoustic sensor based on in-line optical amplification and micromachined enhanced-backscattering fiber
No full textDataset for the figures shown in this publication: Masoudi, A., Brambilla, G., & Beresna, M. (2020). 152km-range single-ended distributed acoustic sensor based on in-line optical amplification and micromachined enhanced-backscattering fiber. Optics Letters.</span
Dataset for Subsea Cable Condition Monitoring with Distributed Optical Fibre Vibration Sensor
No full textThis is the data set for the papers titled "Subsea Cable Condition Monitoring with Distributed Optical Fibre Vibration Sensor" as presented at the Carbon Trust head office in London on June 28th 2018 and Masoudi, A., Pilgrim, J. A., Newson, T. P., & Brambilla, G. (2019). 'Subsea cable condition monitoring with distributed optical fiber vibration sensor'. Journal of Lightwave Technology, 37(4), 1352-1358, DOI: 10.1109/JLT.2019.2893038</span
Dataset for High spatial resolution distributed optical fibre dynamic strain sensor with enhanced frequency and strain resolution
No full textExcel data representing the diagrams in the letter:
"High spatial resolution distributed optical fibre dynamic strain sensor with enhanced frequency and strain resolution"
Authors: Ali Masoudi and Trevor P. Newson
Optics Letters
The data in the excel document contains the data points of the diagrams shown in figure 3~5 of the letter:
Linearity tab contains the datapoints for the linearity plot in figure 3;
Frequency Response tab contains the datapoints for the PZT frequency response measured by the sensor and the MZI and which is shown in figure 4;
Frequency Resolution and Spatial resolution data in the last two tabs contain the data points for the spatial and frequency resolution of the sensor shown in figure 5(a) and 5(b), respectively.</span
Data set for the numerical analysis of distributed optical fibre acoustic sensing
No full textThis data set provides the data of the diagrams in the manuscript submitted to Journal of Lightwave technology. Masoudi, A., & Newson, T. P. (2017). Analysis of distributed optical fibre acoustic sensors through numerical modelling. Optics Express, 25(25), 32021-32040. DOI: 10.1364/OE.25.032021</span
QuateXelero : an accelerated exact network motif detection algorithm
No full textFinding motifs in biological, social, technological, and other types of networks has become a widespread method to gain more knowledge about these networks’ structure and function. However, this task is very computationally demanding, because it is highly associated with the graph isomorphism which is an NP problem (not known to belong to P or NP-complete subsets yet). Accordingly, this research is endeavoring to decrease the need to call NAUTY isomorphism detection method, which is the most time-consuming step in many existing algorithms. The work provides an extremely fast motif detection algorithm called QuateXelero, which has a Quaternary Tree data structure in the heart. The proposed algorithm is based on the well-known ESU (FANMOD) motif detection algorithm. The results of experiments on some standard model networks approve the overal superiority of the proposed algorithm, namely QuateXelero, compared with two of the fastest existing algorithms, G-Tries and Kavosh. QuateXelero is especially fastest in constructing the central data structure of the algorithm from scratch based on the input network
Dataset for Flexible Mid-IR fiber bundle for thermal imaging of inaccessible areas
No full textThis dataset supports the publication:
Andrea Ventura, Fedia Ben Slimen, Joris Lousteau, Nicholas White, Ali Masoudi, Petr Janicek, and Francesco Poletti
Flexible Mid-IR fiber bundle for thermal imaging of inaccessible areas
Optics Express</span
Dataset for Towards Low-Frequency Acoustic sensing using Antiresonant Hollow-Core Fibers
No full textThis dataset supports the manuscript under review on Photonics Research:
Meng Ding, William Luocheng Wu, Thomas William Kelly, Gregory T. Jasion, Ian A. Davidson, Ali Masoudi, Paul White, Francesco Poletti and Radan Slavik, "Towards Low-Frequency Acoustic sensing using Antiresonant Hollow-Core Fibers," in Photonics Research.</span
Data set for "10 cm special resolution distributed acoustic sensor based on ultra low-loss enhanced backscattering fiber"
No full textThe data set provided represents the data plotted on the figures on the journal paper titled "10-cm spatial resolution distributed acoustic sensor based on an ultra low-loss enhanced backscattering fiber" Optics Continuum</span
Design and application of a distributed optical fibre dynamic strain sensor
No full textOver the past two decades, distributed optical fibre sensors (DOFS) based on Brillouin and Raman scattering have been extensively studied. As a result, a wide range of distributed temperature and strain sensors with different sensing range and accuracy levels have been developed. However, due to the weak nature of Brillouin and Raman scattering, most of the research in this field has been focused on DC or quasi-DC measurement of temperature and strain. On the other hand, the Rayleigh-based DOFS which have been previously proposed are only able to detect dynamic disturbances along the sensing fibre. In this thesis, a new sensing technique has been developed which is capable of quantifying and tracking multiple dynamic perturbations along the sensing fibre, simultaneously.The sensing mechanism of the proposed technique relies on the phase of the Rayleigh backscattered light. For any given segment along the fibre, the difference in the phase of the backscattered light radiating from the two ends of that segment changes as a function of the external perturbations at that segment. Therefore, dynamic vibration along the sensing fibre can be extracted by comparing the phase of the backscattered light from two different sections of the sensing fibre. By implementing this technique using an imbalanced Mach-Zehnder Interferometer (IMZI), a distributed sensor was developed that was capable of quantifying dynamic perturbations within the frequency range of 200Hz ~5kHz along a 1km sensing fibre.Furthermore, the same principle was used to develop a distributed magnetic field sensor. By coupling an optical fibre to a magnetostrictive wire and by using this combination as a magnetic field to strain transducer, a distributed magnetic field sensor was formed with magnetic intensity range of 1Gs - 8Gs and frequency range of 50Hz ~5kHz. In addition, the IMZI arrangement was used as a frequency-to-intensity convertor to develop a distributed dynamic strain sensor based on Brillouin scattering. The proposed sensor exhibited a strain range of 400 µ.epsilon 4 m.epsilon and a sensing range of 2km.<br/
Mapping vibration and strain using fibre optic sensors
No full textDistributed optical fibre sensors (DOFS) presents unique features that have no match in conventional sensing techniques. The ability to measure physical phenomenon such as temperatures and strain at thousands of points along a single fibre in harsh an inaccessible environments is particularly interesting for the monitoring of structures such as pipelines, flow lines, oil wells and coiled tubing. Despite a steady improvement in the performance of DOFS, most of the research has been focused on advancing DC and quasi-DC distributed sensors. Recently, we have managed design and test a distributed sensor which is capable of fully quantifying dynamic disturbances along the sensing fibre such as acoustic perturbations. Using a technique known as optical time-domain reflectometry (OTDR), the sensor has been used to measure the frequency components of multiple disturbances along a 1km sensing fibre simultaneously
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