scispace - formally typeset
Search or ask a question
Institution

Edinburgh Napier University

EducationEdinburgh, United Kingdom
About: Edinburgh Napier University is a education organization based out in Edinburgh, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 2665 authors who have published 6859 publications receiving 175272 citations.


Papers
More filters
Journal ArticleDOI
02 Apr 2017
TL;DR: A side-by-side comparison on how applicable these two power analysis attack techniques are is provided along with providing a methodology to enable readers to replicate and learn how one may perform such attacks on their own hardware.
Abstract: This article demonstrates two fundamental techniques of power analysis, differential power analysis (DPA) and correlation power analysis (CPA), against a modern piece of hardware which is widely av...

60 citations

Journal ArticleDOI
TL;DR: This work presents a deterministic beam search algorithm that outperforms the current state-of-the-art approaches not only in solution quality but often also in computation time.

60 citations

Journal ArticleDOI
TL;DR: An efficient online sequential learning-based adaptive routing scheme, namely, Penicillium reproduction-based Online Learning Adaptive Routing scheme (POLAR) for hybrid SDVNs, which can dynamically select a routing strategy for a specific traffic scenario by learning the pattern from network traffic.
Abstract: To provide efficient networking services at the edge of Internet-of-Vehicles (IoV), Software-Defined Vehicular Network (SDVN) has been a promising technology to enable intelligent data exchange without giving additional duties to the resource constrained vehicles. Compared with conventional centralized SDVNs, hybrid SDVNs combine the centralized control of SDVNs and self-organized distributed routing of Vehicular Ad-hoc NETworks (VANETs) to mitigate the burden on the central controller caused by the frequent uplink and downlink transmissions. Although a wide variety of routing protocols have been developed, existing protocols are designed for specific scenarios without considering flexibility and adaptivity in dynamic vehicular networks. To address this problem, we propose an efficient online sequential learning-based adaptive routing scheme, namely, Penicillium reproduction-based Online Learning Adaptive Routing scheme (POLAR) for hybrid SDVNs. By utilizing the computational power of edge servers, this scheme can dynamically select a routing strategy for a specific traffic scenario by learning the pattern from network traffic. Firstly, this paper applies Geohash to divide the large geographical area into multiple grids, which facilitates the collection and processing of real-time traffic data for regional management in controller. Secondly, a new Penicillium Reproduction Algorithm (PRA) with outstanding optimization capabilities is designed to improve the learning effectiveness of Online Sequential Extreme Learning Machine (OS-ELM). Finally, POLAR is deployed in control plane to generate decision-making model (i.e., routing policy). Based on the real-time featured data, this scheme can choose the optimal routing strategy for a specific area. Extensive simulation results show that POLAR is superior to a single traditional routing protocol in terms of packet delivery ratio and latency.

60 citations

Journal ArticleDOI
TL;DR: In this article, the effect caused by the natural ageing of wood on the sorption properties during two consecutive sorption cycles of historical Tilia cordata mill was investigated and compared with a reference sample.

60 citations

Journal ArticleDOI
TL;DR: The evidence of interaction reported here further supports the inverse association between vitamin D mediated through binding to the VDR and colorectal cancer risk.
Abstract: Vitamin D has anticarcinogenic properties and might influence colorectal cancer (CRC) risk, but the epidemiological evidence is inconsistent. Many mechanisms of action for vitamin D have been proposed, with some of them initiating via its binding to the vitamin D receptor (VDR). Using a large Scottish case-control study, we investigated (i) main associations between CRC, vitamin D and calcium dietary intake and 4 VDR single nucleotide polymorphisms (rs10735810, rs1544410, rs11568820, rs7975232) and (ii) interaction associations between the VDR variants, vitamin D and calcium intakes. Inverse and dose-dependent associations were found between CRC risk, dietary [Odds ratio (OR) = 0.77, 95% confidence intervals (CI) 0.63, 0.92, p-trend = 0.012] and total vitamin D (OR = 0.80, 95% CI 0.65, 0.98, p-trend = 0.014) intake in multivariable-adjusted logistic regression models, whereas neither calcium intake nor any of the VDR variants were associated with CRC. Additionally, we observed statistically significant interactions (case-control, case-only designs) between vitamin D and calcium intake and rs10735810 (p-interaction 0.02, 0.006, respectively). We conducted meta-analyses of cohort, case-control and serum studies that also showed an inverse association between dietary vitamin D intake and CRC (serum studies: combined OR = 0.70, 95% CI 0.56, 0.87). The evidence of interaction we report here further supports the inverse association between vitamin D mediated through binding to the VDR.

60 citations


Authors

Showing all 2727 results

NameH-indexPapersCitations
William MacNee12347258989
Richard J. Simpson11385059378
Ken Donaldson10938547072
John Campbell107115056067
Muhammad Imran94305351728
Barbara Rothen-Rutishauser7033917348
Vicki Stone6920425002
Sharon K. Parker6823821089
Matt Nicholl6622415208
John H. Adams6635416169
Darren J. Kelly6525213007
Neil B. McKeown6528119371
Jane K. Hill6214720733
Min Du6132611328
Xiaodong Liu6047414980
Network Information
Related Institutions (5)
Lancaster University
44.5K papers, 1.6M citations

92% related

University of Technology, Sydney
46.4K papers, 1M citations

92% related

Loughborough University
45.1K papers, 1.2M citations

91% related

University of York
56.9K papers, 2.4M citations

91% related

RMIT University
82.9K papers, 1.7M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202328
202299
2021687
2020591
2019552
2018393