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A Performance Analysis of Backbone Structures for Static Sink Based Starfish Routing in WSN
No full textTime sensitive applications in Wireless Sensor Network
(WSN) with a static sink are emerging rapidly. The
main challenges of these applications are to achieve higher
throughput with lower delay and less power consuming routing
protocol development for realistic environment. To overcome the
challenges, backbone based routing protocols are lucrative for
guaranteed data delivery in WSN. The backbone of Starfish
routing protocol with a ring and radial-canals employs more
nodes to construct the backbone but suffers from congestion and
interference within the network. It also leads to lower throughput
and higher delay. In this paper, the basic Starfish routing is
modified as Angular Starfish routing backbone structure and
furthermore is improved to Parallel Starfish routing backbone
structure. A realistic wireless signal propagation model has been
used to implement the simulations. The results show that the
Parallel Starfish routing protocol outperforms state-of-the-art
works in terms of throughput, delay and energy consumption
Terrorism, Tourism and Religious Travellers
Get PDFCuriously, while tourism is cited as the world’s largest industry (UNWTO, 2016), it is simultaneously a fragile industry that is highly vulnerable to the impact of the ongoing threat of terrorism. Internationally, terrorism influences the tourist mind-set in a number of ways, in particular it creates fear for travellers and causes economic and social impacts to change the behaviour of people and dissuade them from visiting certain places in the world. Thus, the impact of terrorism has caused tremendous damage to the travel industry. A number of countries which previously depended quite heavily on the tourism industry are suffering in terms of economic development.
This paper discusses critical issues related to terrorism, that are faced by travellers to religious and sacred sites. The paper will illustrate the impact of recent terrorism phenomena upon travellers in two ways: first, the potential personal hazards to travellers caused by terrorist incidents; second, the impacts caused by stringent anti-terrorism laws and security measures, to travellers while they are in transit
A Companion to State Power, Rights and Liberties
No full textThe precariousness of individual and collective civil liberties and human rights is
a dominant theme of scholarship, media commentary, policy debate and public
concern. Being inextricably bound to matters of state power, its extent, form and
function have a direct influence on the accessibility to, protection of and wider
structural patterns of liberties and rights. The need to analyse politics and the
assumed upholders of protectionist strategies – that is, governments themselves
– is an important endeavour for many, including those writing, researching,
informing and challenging practice, abuse or neglect.
The Companion presented here aims to do just that. It is a forum of voices, all of
which pose deliberately critical questions on how (if at all) justice in respect of
individual rights and liberties may manifest as an issue of centrality, as a fringe
matter, be curtailed or be the victim of entrenched authoritarianism. This
Companion delivers a suite of progressive conversations and evaluations drawn
from disciplinary areas such as criminology, law, International Relations, politics,
military studies and peace studies
Daughters of Eve and other new short stories from Nigeria: edited with an introduction by Emma Dawson
No full text‘Daughters of Eve’ and Other New Short Stories From Nigeria is full of surprise, suspense and carefully sculpted characters. This collection of eleven stories offers new departures in genre and voice, through narratives of crime, love and urban living. These stories will take you to parts of Lagos you would prefer not to see, will journey you across the city in Musa’s old Mercedes Benz and take you into the ‘lightless room’ and lives of Verissimo’s characters
Blog: Want to know more about the study of childhood in the past? Follow SSCICP’s outreach activities.
Get PDFThe dark side of I2P, a forensic analysis case study
No full textFile sharing applications, which operate as a form of Peer-to-Peer (P2P) network, are popular amongst users and developers due to their heterogeneity, decentralized approach and rudimentary deployment features. However, they are also used for illegal online activities and often are infested with malicious content such as viruses and contraband material. This brings new challenges to forensic investigations in detecting, retrieving and examining the P2P applications. Within the domain of P2P applications, the Invisible Internet Project (IP2) is used to allow applications to communicate anonymously. As such, this work discusses its use by network node operators and known attacks against privacy or availability of I2P routers. Specifically, we investigate the characteristics of I2P networks in order to outline the security flaws and the issues in detecting artefacts within the I2P. Furthermore, we present a discussion on new methods to detect the presence of I2P using forensic tools and reconstruct specific I2P activities using artefacts left over by network software
Novel Ferrocenyl Chalcone Compounds as Possible Antimicrobial Agents
No full textThe increased presence of drug-resistant bacteria has quickly become a worldwide concern as infections spread from healthcare settings to the wider community. The swift spread of infections caused by bacteria such as methicillin-resistant
Staphylococcus aureus (MRSA) is influenced by factors such as misuse and abuse of traditional antimicrobial treatments and inferior drugs. Ferrocenyl chalcones, which are derivatives of plant-based flavonoids, have gained further attention
from researchers because of their antimicrobial activity. Using 2-fold broth microdilution, results demonstrated that 5 of the 10 newly developed ferrocenyl chalcones, which contain increasing alkyl chains from 5-10 carbons on ring B,
possessed greater antimicrobial activity against Gram-positive organisms than Gram-negative organisms. These novel compounds were active against 3 types of drug-resistant S. aureus, including a MRSA, and other non-resistant Grampositive
bacteria. The same compounds inhibited growth by potentially obstructing cellular respiration in Gram-positive bacteria. Images obtained through scanning electron microscopy revealed bacterial cells with severe external damage once
exposed to a selected compound that showed activity. Findings indicate that these newly developed compounds could be important antimicrobial agents in the treatment of infections from clinically resistant bacteria
“Serious offences with male persons”: the media representation of the ‘forgotten’ gay campaigner Peter Wildeblood (1923–99).
Get PDFAn Application of pre-Trained CNN for Image Classification
Get PDFImage Classification is a branch of computer vision where images are classified into categories. This is a very important topic in today’s context as large databases of images are becoming very common. Images can be classified as supervised or unsupervised techniques. This paper investigates supervised classification and evaluates performances of two classifiers as well as two feature extraction techniques. The classifiers used are Linear Support Vector Machine (SVM) and Quadratic SVM. The classifiers are trained and tested with features extracted using Bag of Words and pre-trained Convolution Neural Network (CNN), namely AlexNet. It has been observed that the classifiers are able to classify images with very high accuracy when trained with features from CNN. The image categories consisted of Binocular, Motorbikes, Watches, Airplanes, and Faces, which are taken from Caltech 265 image archive
An implementation of an aeroacoustic prediction model for broadband noise from a vertical axis wind turbine using a CFD informed methodology
Get PDFThis paper presents an enhanced method for predicting aerodynamically generated broadband noise produced by a Vertical Axis Wind Turbine (VAWT). The method improves on existing work for VAWT noise prediction and incorporates recently developed airfoil noise prediction models. Inflow-turbulence and airfoil self-noise mechanisms are both considered. Airfoil noise predictions are dependent on aerodynamic input data and time dependent Computational Fluid Dynamics (CFD) calculations are carried out to solve for the aerodynamic solution. Analytical flow methods are also benchmarked against the CFD informed noise prediction results to quantify errors in the former approach. Comparisons to experimental noise measurements for an existing turbine are encouraging. A parameter study is performed and shows the sensitivity of overall noise levels to changes in inflow velocity and inflow turbulence. Noise sources are characterised and the location and mechanism of the primary sources is determined, inflow-turbulence noise is seen to be the dominant source. The use of CFD calculations is seen to improve the accuracy of noise predictions when compared to the analytic flow solution as well as showing that, for inflow-turbulence noise sources, blade generated turbulence dominates the atmospheric inflow turbulence
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