434 research outputs found
A novel optical passive router ring architecture using MAGNet protocol
This paper introduces a family of bidirectional multi-fibre passive photonic ring architectures that may serve as a high-capacity network backbone for supporting next-generation data-centric services. We introduce a novel dual-router node design that avoids several non-ideal routing phenomena typically associated with passive networks based on cyclic graphs. Our design also achieves the requisite single-hop full-mesh connectivity needed for arbitrary node-to-node communications. A ring enlargement strategy is presented that allows this architecture to scale across a wide range of networking domains. A medium access protocol will also briefly elaborated
Easing the survey burden: Quantitative assessment of low-cost signal surveys for indoor positioning
© 2016 IEEE. Indoor positioning through signal fingerprinting is a popular choice since it requires little or no additional infrastructure. However, the initial creation and subsequent maintenance of the signal maps remains a challenge since traditional manual surveying is not scalable. In this work we look at the use of path surveys, which attempt to construct the signal maps from a sparse set of fingerprints collected while a person walks through a space. As such, the survey points rarely provide a uniform coverage of the space of interest. We quantitatively evaluate path surveys with reference to a detailed manual survey using smartphone-grade equipment. We compare both the individual maps (generated using Gaussian Process regression) and their collective positioning performance. Our results are for both WiFi and Bluetooth Low Energy signals. We show that a path survey can provide maps of equivalent quality to a manual survey if a series of guidelines we provide are followed
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Effects of ultrasound on the growth and function of bone and periodontal ligament cells <i>in vitro</i>
The effects of therapeutic ultrasound (US) on tissue healing processes in vivo are likely to involve US-induced changes in key cellular functions. However, these have not yet been clearly delineated and the present study has, therefore, examined the effects of a single 5-min CW exposure of 3.00-MHz US on the growth and functional activity of a human osteoblast-like cell line (MG63 cells) and human periodontal ligament (PDL) cells in vitro. Although cell proliferation was found to be largely unaffected by spatial average intensity (ISA) values of between 140–990 mW/cm2, flow cytometry (FCM) analysis showed that there were pronounced and differential effects on cell function. Thus, bone-associated proteins were down-regulated, whereas collagen type I (COL I) was unaffected and fibronectin (FN) was up-regulated at low intensities in MG63 cells. In contrast, bone protein expression was found to be dose-dependent, and FN and COL I were down-regulated in PDL cells. These results show that US has potentially important effects on the functional activities of connective tissue cells in vitro, which could markedly influence tissue repair and regeneration processes in vivo
Performance Characterization of the Low-Power Halo Electric Propulsion System
Performance measurements have been obtained of a novel propulsion concept called the Halo thruster under development within the University of Surrey. The Halo thruster, a type of cusped-field thruster with close similarity to the cylindrical Hall thruster, is motivated by the need for low-power and low-cost electric propulsion for the small satellite sector. Two versions of the device are investigated in this study: a design using permanent magnets at high magnetic-field strength and a design using electromagnets with moderate field strength. While operating at 200 W discharge power, which is of particular interest to power-limited small satellite platforms, the permanent-magnet design achieved a maximum thrust efficiency of 8% at a specific impulse of approximately 900 s using a krypton propellant. By comparison, the electromagnet design achieved a maximum thrust efficiency of 28% at a specific impulse of approximately 1500 s at 200 W using a xenon propellant. For higher levels of power (tested up to 800 W), the performance of the electromagnetic design saturated at approximately 25% thrust efficiency using krypton and 30% using xenon. The thrust efficiency of the permanent-magnet design appeared to increase monotonically up to 600 W reaching a maximum value of 14%
Semi-Automated Signal Surveying Using Smartphones and Floorplans
Location fingerprinting locates devices based on pattern matching signal observations to a pre-defined signal map. This
paper introduces a technique to enable fast signal map creation given a dedicated surveyor with a smartphone and floorplan. Our
technique (PFSurvey) uses accelerometer, gyroscope and magnetometer data to estimate the surveyor’s trajectory post-hoc using
Simultaneous Localisation and Mapping and particle filtering to incorporate a building floorplan. We demonstrate conventional methods
can fail to recover the survey path robustly and determine the room unambiguously. To counter this we use a novel loop closure
detection method based on magnetic field signals and propose to incorporate the magnetic loop closures and straight-line constraints
into the filtering process to ensure robust trajectory recovery. We show this allows room ambiguities to be resolved.
An entire building can be surveyed by the proposed system in minutes rather than days. We evaluate in a large office space and
compare to state-of-the-art approaches. We achieve trajectories within 1.1 m of the ground truth 90% of the time. Output signal maps
well approximate those built from conventional, laborious manual survey. We also demonstrate that the signal maps built by PFSurvey
provide similar or even better positioning performance than the manual signal maps
MSGD: Scalable Back-end for Indoor Magnetic Field-based GraphSLAM
Simultaneous Localisation and Mapping (SLAM) systems that recover the trajectory of a robot or mobile device are characterised by a front-end and back-end. The front-end uses sensor observations to identify loop closures; the back-end optimises the estimated trajectory to be consistent with these closures. The GraphSLAM framework formulates the back-end problem as a graph-based optimisation on a pose graph.
This paper describes a back-end system optimised for very dense sequence-based loop closures. This arises when the front-end generates magnetic loop closures, among other things. Magnetic measurements are fast varying, which is good for localisation, but the requirement for high sampling rates (50 Hz+) produces many more loop closures than conventional systems. To date, however, there is no study optimising GraphSLAM back-end for sequence-based magnetic loop closures. Hence we introduce a novel variant of the Stochastic Gradient Descent-based SLAM algorithm called MSGD (Magnetic-SGD). We use high-accuracy groundtruth system and extensive real datasets to evaluate MSGD against state-of-the-art back-end algorithms. We demonstrate MSGD is at least as good as the best competitor algorithm in terms of quality, while being faster and more scalable
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Assessing the impact of multi-channel BLE beacons on fingerprint-based positioning
Bluetooth Low Energy (BLE) beacons are attractive for indoor location due to their ease of deployment, wide support on consumer devices and low cost. Co-ordinate location can be estimated using radio fingerprinting techniques applied to Received Signal Strength (RSS) values from BLE beacons. Earlier work on BLE fingerprinting has noted that the separate BLE advertising channels can exhibit different RSS values, although modern consumer devices do not provide channel information and therefore report a composite RSS with artificially inflated variance that can lead to reduced positioning accuracy. In this work we quantify how often this channel dispersion occurs in typical environments, what the extent of the dispersion is, and what impact it has on positioning. Furthermore we explore how to obtain channel information when using today's consumer devices. We find that the dispersion is both common and significant and leads to significantly reduced positioning accuracy; in our experiments only 10% of composite variances were within 1 dBm of an individual channel's variance, and 40% of composite variances were at least 4 dBm greater. We also show that the behaviour of the channels is sufficiently distinct that a fingerprinting scheme that uses a signal map for each achieves significantly increased positioning accuracy (up to 3 m)
Analgesic Management of Pain in Elite Athletes: A Systematic Review
Objective: To identify the prevalence, frequency of use, and effects of analgesic pain management strategies used in elite athletes.
Design: Systematic literature review.
Data Sources: Six databases: Ovid/Medline, SPORTDiscus, CINAHL, Embase, Cochrane Library, and Scopus.
Eligibility Criteria for Selecting Studies: Empirical studies involving elite athletes and focused on the use or effects of medications used for pain or painful injury. Studies involving recreational sportspeople or those that undertake general exercise were excluded.
Main Results: Of 70 articles found, the majority examined the frequency with which elite athletes use pain medications, including nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, anesthetics, and opioids. A smaller set of studies assessed the effect of medications on outcomes such as pain, function, and adverse effects. Oral NSAIDs are reported to be the most common medication, being used in some international sporting events by over 50% of athletes. Studies examining the effects of pain medications on elite athletes typically involved small samples and lacked control groups against which treated athletes were compared.
Conclusions: Existing empirical research does not provide a sufficient body of evidence to guide athletes and healthcare professionals in making analgesic medication treatment decisions. Based on the relatively robust evidence regarding the widespread use of NSAIDs, clinicians and policymakers should carefully assess their current recommendations for NSAID use and adhere to a more unified consensus-based strategy for multidisciplinary pain management in elite athletes. In the future, we hope to see more rigorous, prospective studies of various pain management strategies in elite athletes, thus enabling a shift from consensus-based recommendations to evidence-based recommendations
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