29,251 research outputs found
Design optimisation of electromagnetic devices using continuum design sensitivity analysis combined with commercial EM software
This paper deals with two types of optimisation problems: optimised source distribution and the shape optimum design, using Continuum Design Sensitivity Analysis (CDSA) in combination with standard electromagnetic (EM) software. Fast convergence and compatibility with existing EM software are the distinctive features of the proposed implementation. In order to verify the advantages and also to facilitate understanding of the method itself, two design optimisation problems have been tested using both 2D and 3D models: the first is a MRI design problem related to finding an optimal permanent magnet distribution and the second is a pole shape design problem to reduce the cogging torque in a BLDC
Microwave method for high-frequency properties of graphene
Graphene is a remarkable material, which is yet to make the transition from unique laboratory phenomenon to useful industrial material. One missing element in the development process is a quick method of quality control of the electrical properties of graphene which may be applied in, or close to, the graphene growth process on an industrial scale. In this study, the authors describe a non-contact method using microwave resonance which potentially solves this problem. They describe the technique, consider its limitations and accuracy and suggest how the method may have future take up.UK NMS Programme, the EU EMRP project âGraphOhmâ and âMetNEMSâ. The EMRP (European Metrology Research Programme
Improvement in Hemodynamic Responses to Metaboreflex Activation after One Year of Training in Spinal Cord Injured Humans
Spinal cord injured (SCI) individuals show an altered hemodynamic response to metaboreflex activation due to a reduced capacity to vasoconstrict the venous and arterial vessels below the level of the lesion. Exercise training was found to enhance circulating catecholamines and to improve cardiac preload and venous tone in response to exercise in SCI subjects. Therefore, training would result in enhanced diastolic function and capacity to vasoconstrict circulation. The aim of this study was to test the hypothesis that one year of training improves hemodynamic response to metaboreflex activation in these subjects. Nine SCI individuals were enrolled and underwent a metaboreflex activation test at the beginning of the study (T0) and after one year of training (T1). Hemodynamics were assessed by impedance cardiography and echocardiography at both T0 and T1. Results show that there was an increment in cardiac output response due to metaboreflex activity at T1 as compared to T0 (545.4 ± 683.9 mL · min(-1) versus 220.5 ± 745.4 mL · min(-1), P < 0.05). Moreover, ventricular filling rate response was higher at T1 than at T0. Similarly, end-diastolic volume response was increased after training. We concluded that a period of training can successfully improve hemodynamic response to muscle metaboreflex activation in SCI subjects
Service Level Agreement-based GDPR Compliance and Security assurance in (multi)Cloud-based systems
Compliance with the new European General Data Protection Regulation (Regulation (EU) 2016/679) and security
assurance are currently two major challenges of Cloud-based systems. GDPR compliance implies both privacy and security
mechanisms definition, enforcement and control, including evidence collection. This paper presents a novel DevOps
framework aimed at supporting Cloud consumers in designing, deploying and operating (multi)Cloud systems that include
the necessary privacy and security controls for ensuring transparency to end-users, third parties in service provision (if any)
and law enforcement authorities. The framework relies on the risk-driven specification at design time of privacy and security
level objectives in the system Service Level Agreement (SLA) and in their continuous monitoring and enforcement at runtime.The research leading to these results has received
funding from the European Unionâs Horizon 2020 research
and innovation programme under grant agreement No 644429
and No 780351, MUSA project and ENACT project,
respectively. We would also like to acknowledge all the
members of the MUSA Consortium and ENACT Consortium
for their valuable help
FPGA implementation of a 32x32 autocorrelator array for analysis of fast image series
With the evolving technology in CMOS integration, new classes of 2D-imaging
detectors have recently become available. In particular, single photon
avalanche diode (SPAD) arrays allow detection of single photons at high
acquisition rates (\geq 100 kfps), which is about two orders of magnitude
higher than with currently available cameras. Here we demonstrate the use of a
SPAD array for imaging fluorescence correlation spectroscopy (imFCS), a tool to
create 2D maps of the dynamics of fluorescent molecules inside living cells.
Time-dependent fluorescence fluctuations, due to fluorophores entering and
leaving the observed pixels, are evaluated by means of autocorrelation
analysis. The multi-{\tau} correlation algorithm is an appropriate choice, as
it does not rely on the full data set to be held in memory. Thus, this
algorithm can be efficiently implemented in custom logic. We describe a new
implementation for massively parallel multi-{\tau} correlation hardware. Our
current implementation can calculate 1024 correlation functions at a resolution
of 10{\mu}s in real-time and therefore correlate real-time image streams from
high speed single photon cameras with thousands of pixels.Comment: 10 pages, 7 figure
Dynamic Virtual Page-based Flash Translation Layer with Novel Hot Data Identification and Adaptive Parallelism Management
Solid-state disks (SSDs) tend to replace traditional motor-driven hard disks in high-end storage devices in past few decades. However, various inherent features, such as out-of-place update [resorting to garbage collection (GC)] and limited endurance (resorting to wear leveling), need to be reduced to a large extent before that day comes. Both the GC and wear leveling fundamentally depend on hot data identification (HDI). In this paper, we propose a hot data-aware flash translation layer architecture based on a dynamic virtual page (DVPFTL) so as to improve the performance and lifetime of NAND flash devices. First, we develop a generalized dual layer HDI (DL-HDI) framework, which is composed of a cold data pre-classifier and a hot data post-identifier. Those can efficiently follow the frequency and recency of information access. Then, we design an adaptive parallelism manager (APM) to assign the clustered data chunks to distinct resident blocks in the SSD so as to prolong its endurance. Finally, the experimental results from our realized SSD prototype indicate that the DVPFTL scheme has reliably improved the parallelizability and endurance of NAND flash devices with improved GC-costs, compared with related works.Peer reviewe
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