Abstract: We propose a distributed mechanism, Dis-VoW, to detect wormhole attacks in under-water sensor networks. In Dis-VoW, every sensor reconstructs local network layout using multi-dimensional scaling. It detects the wormholes by visualising the distortions in edge lengths and angles among neighbouring sensors. The contributions include: • Dis-VoW does not depend on any special hardware • it provides a localised wormhole detection mechanism adapting to network topology changes • it integrates techniques from social science and scientific visualisation to attack network security problems. The simulation results show that Dis-VoW can detect most of the fake neighbour connections without introducing many false alarms.

Abstract not found

This is to certify that I have examined this copy of a doctoral dissertation by

This is the second part of the numerical investigation on a low emissions staged turbine combustor (STC) using a modified version of the KIVA-II code. The main focus of this study is the numerical analysis of the reacting fluid flow and heat transfer inside the quick-quench/lean-combustion (QQ/LC) zones. In the QQ zone, cool dilution air was injected into the hot mixture through eight 45 ° inclined slots with a momentum flux ratio of 60. The slot aspect ratio was 6 and the jet-to-mainstream mass flow rate ratio was 3. The inlet conditions of the QQ zone were obtained from the results of rich combustion zone analysis described in part I. A tension spline interpolation scheme was then used to interpolate the necessary information needed at the inlet. Conditions at the slot opening (dilution jet) were chosen closely related to those encountered in advanced combustion systems. The Grid system needed for the numerical solutions was generated by a transfinite interpolation scheme. KIVA-II was further modified for the current study. Preliminary results illustrate some of the major features of the flow and temperature fields inside the QQ/LC zones. Formation of the co- and counter-rotating bulk flow and the sandwiched-ring-shape temperature field, typical of the confined inclined jet-in-cross flow, can be seen clearly and is consistent with experimental observations. The calculations of the mass-weighted standard deviation and the pattern factor of temperature revealed that the mixing performance of the STC combustor is very promising. The temperature of the fluid leaving the LC zone is very

Shaking the tree: mapping complex disease genes with

Proceedings Effect of population stratification on the identification of significant single-nucleotide polymorphisms in genome-wide association studies

doi:10.1093/bib/bbm058 Three lectures on case^control genetic association analysis

Genome-wide association analysis identifies multiple loci related with resting heart rate Eijgelsheim et al.

doi:10.1093/hmg/ddq303

There is growing evidence that genetic risk factors for common disease are caused by hereditary changes of gene regulation acting in complex pathways. Clearly understanding the molecular genetic relationships between genetic control of gene expression and its effect on complex diseases is essential. Here we describe the Brisbane Systems Genetics Study (BSGS), a family-based study that will be used to elucidate the genetic factors affecting gene expression and the role of gene regulation in mediating endophenotypes and complex diseases. BSGS comprises of a total of 962 individuals from 314 families, for which we have high-density genotype, gene expression and phenotypic data. Families consist of combinations of both monozygotic and dizygotic twin pairs, their siblings, and, for 72 families, both parents. A significant advantage of the inclusion of parents is improved power to disentangle environmental, additive genetic and non-additive genetic effects of gene expression and measured phenotypes. Furthermore, it allows for the estimation of parent-of-origin effects, something that has not previously been systematically investigated in human genetical genomics studies. Measured phenotypes available within the BSGS include blood phenotypes and biochemical traits measured from components of the tissue sample in which transcription levels are determined, providing an ideal test case for systems genetics approaches. We report results from an expression quantitative trait loci (eQTL) analysis using 862 individuals from BSGS to test for associations between expression levels of 17,926 probes and 528,509 SNP genotypes. At a study wide significance level