Now showing items 1-20 of 699

    • 1000 days of UDP amplification DDoS attacks 

      Thomas, Daniel R.; Clayton, Richard Neil; Beresford, Alastair Richard (IEEE, 2017-04-27)
      Distributed Denial of Service (DDoS) attacks employing reflected UDP amplification are regularly used to disrupt networks and systems. The amplification allows one rented server to generate significant volumes of data, ...
    • 1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation 

      Maji, Partha; Mullins, Robert David (Springer, 2017-08)
      Deep convolutional neural networks (CNNs), which are at the heart of many new emerging applications, achieve remarkable performance in audio and visual recognition tasks, at the expense of high computational complexity, ...
    • 1st workshop on situational awareness in semi-Automated vehicles 

      McCall, R; Baumann, M; Politis, Ioannis; Borojeni, SS; Alvarez, I; Mirnig, A; Meschtscherjakov, A et al. (ACM, 2016-10-24)
      This workshop will focus on the problem of occupant and vehicle situational awareness with respect to automated vehicles when the driver must take over control. It will explore the future of fully automated and mixed traffic ...
    • 2 Gb/s μLED-APD Based Visible Light Communications Using Feed-forward Pre-equalization and PAM-4 Modulation 

      Li, X; Bamiedakis, Nikolaos; Guo, X; McKendry, JJD; Xie, E; Ferreira, R; Gu, E et al. (IEEE, 2015-10-01)
      Feed-forward pre-equalization is investigated to extend the transmission capability of μLED-based links, providing better receiver sensitivities up to 5dB compared with post-equalization. Error-free 2Gb/s free-space VLC ...
    • 25th Annual Computational Neuroscience Meeting: CNS-2016 

      Sharpee, Tatyana O; Destexhe, Alain; Kawato, Mitsuo; Sekulić, Vladislav; Skinner, Frances K; Wójcik, Daniel K; Chintaluri, Chaitanya et al. (2016-08-18)
      Table of contents A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex ...
    • 2D ultra-fast MRI of granular dispersion by a liquid jet 

      Peng, Y; Sederman, Andrew John; Ramaioli, M; Hughes, E; Gladden, Lynn Faith; Mantle, Michael David (2017-06-30)
      © The Authors, published by EDP Sciences, 2017. This paper illustrates the application of ultra-fast magnetic resonance imaging (MRI) as a noninvasive tool to study the dispersion of a dry, static granular bed by the ...
    • 56 Gb/s PAM-4 Data Transmission Over a 1 m Long Multimode Polymer Interconnect 

      Bamiedakis, Nikolaos; Wei, JL; Chen, J; Westbergh, P; Larsson, A; Penty, Richard Vincent; White, Ian Hugh (OSA Publishing, 2015-05)
      Advanced modulation formats can enable >40 Gb/s data rates in waveguide-based optical interconnects without the need for high-specification optoelectronic components. Record 56 Gb/s PAM-4 data transmission is demonstrated ...
    • 6.25 Gb/s POF Link Using GaN μLED Arrays and Optically Generated Pulse Amplitude Modulation 

      Li, Xin; Bamiedakis, Nikolaos; Wei, Jinlong; Mckendry, Jonathan; Xie, Enyuan; Ferreira, Ricardo; Gu, Erdan et al. (Optical Society of America, 2015-05-15)
      Optically-generated PAM schemes using μLED arrays are implemented for high-speed POF links for the first time. 6.25Gb/s PAM-16 transmission is demonstrated using 4 μLEDs, exhibiting 3.8dB greater power-margin than a link ...
    • Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading 

      Georgiev, P; Laney, ND; Mascolo, Cecilia; Chu, D (Association for Computing Machinery, 2017-06-16)
      GPUs have recently enjoyed increased popularity as general purpose software accelerators in multiple application domains including computer vision and natural language processing. However, there has been little exploration ...
    • Accountable Internet of Things? Outline of the IoT databox model 

      Crabtree, A; Lodge, T; Colley, J; Greenghalgh, C; Mortier, Richard Michael (2017-07-10)
      © 2017 IEEE. This paper outlines the IoT Databox model as a means of making the Internet of Things (IoT) accountable to individuals. Accountability is a key to building consumer trust and mandated in data protection ...
    • Accounting for eccentricity in compressor performance predictions 

      Young, Anna Mollie; Cao, T; Day, IJ; Longley, JP (American Society of Mechanical Engineers, 2016-06-13)
      It is known that the tip-clearance gap plays a pivotal role in determining the performance of an aero-engine compressor, both in terms of stability and pressure rise. However, the exact effect of tipclearance size on stall ...
    • The accuracy of death dates recorded in the Clinical Practice Research Datalink (CPRD) 

      Harshfield, Amelia; Rhodes, K; Barclay, Stephen Ian; Payne, R (Society for Academic Primary Care (SAPC), 2017-07-13)
      CPRD provides general practice (GOLD) data linked to several other datasets. This can reveal discrepancies in key outcomes where similar data is available in two linked data sources. We explored discrepancies between death ...
    • ADaPT: Optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels 

      Maji, Partha; Mullins, Robert David
      Breakthroughs from the field of deep learning are radically changing how sensor data are interpreted to extract important information to help advance healthcare, make our cities smarter, and innovate in smart home technology. ...
    • Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages 

      Limsopatham, Nut; Collier, Nigel Henry (Association for Computational Linguistics (ACL), 2015-08-13)
      Previous studies have shown that health reports in social media, such as DailyStrength and Twitter, have potential for monitoring health conditions (e.g. adverse drug reactions, infectious diseases) in particular communities. ...
    • Adaptive Transceivers in Nonlinear Flexible Networks 

      Ives, David John; Alvarado, Alex; Savory, Sebastian John (VDE, 2016-12-08)
      Transceiver adaptation is essential within an optical network to make effective use of the physical layer resources. We investigate the types of adaptation, the granularity of control and its effect on network data throughput.
    • Addressing resource over-exploitation via cooperative institutions: Insights from sector level technology roadmapping 

      More, Elliott; Phaal, Dr Robert; Probert, David Rhys (Elsevier, 2015-03-27)
      Just one of the challenges facing the manufacturing sector is to dramatically improve non-labour based resource productivity as the world enters a period of sustained resource scarcity. The traditional linear consumption ...
    • Advanced Photonic Routing Sub-systems with Efficient Routing Control 

      White, Ian Hugh; Ding, M; Cheng, Q; Wonfor, Adrian; Penty, Richard Vincent (IEEE, 2015)
      In recent years, there has been much interest in the development of optical switches which can route optical signals from different input guides to different outputs based on thermo-optic and electro-optic technologies. ...
    • Aerodynamic effects in industrial inkjet printing 

      Rodriguez‐Rivero, C; Castrejón‐Pita, JR; Hutchings, Ian Michael (Society for Imaging Science and Technology, 2015-01-01)
      The quality achieved by inkjet printing is limited by various factors including the nozzle‐substrate throw distance, the substrate velocity and the occurrence of satellite droplets. Under certain conditions, particularly ...
    • Aerodynamic effects in ink-jet printing on a moving web 

      Hsiao, W-K; Hoath, Stephen Daniel; Martin, Graham Dagnall; Hutchings, Ian Michael (2012)
    • Affine invariant visual phrases for object instance recognition 

      Patraucean, Viorica; Ovsjanikov, Maks (IEEE, 2015-05-28)
      Object instance recognition approaches based on the bag-of-words model are severely affected by the loss of spatial consistency during retrieval. As a result, costly RANSAC verification is needed to ensure geometric consistency ...