A non-orthogonal cooperative multiple access (NCMA) protocol and low ML decoding complexity codes

A half-duplex constrained non-orthogonal cooperative multiple access (NCMA) protocol suitable for transmission of information from N users to a single destination in a wireless fading channel is proposed. Transmission in this protocol comprises of a broadcast phase and a cooperation phase. In the broadcast phase, each user takes turn broadcasting its data to all other users and the destination in an orthogonal fashion in time. In the cooperation phase, each user transmits a linear function of what it received from all other users as well as its own data. In contrast to the orthogonal extension of cooperative relay protocols to the cooperative multiple access channels wherein at any point of time, only one user is considered as a source and all the other users behave as relays and do not transmit their own data, the NCMA protocol relaxes the orthogonality built into the protocols and hence allows for a more spectrally efficient usage of resources. Code design criteria for achieving full diversity of N in the NCMA protocol is derived using pair wise error probability (PEP) analysis and it is shown that this can be achieved with a minimum total time duration of 2N - 1 channel uses. Explicit construction of full diversity codes is then provided for arbitrary number of users. Since the Maximum Likelihood decoding complexity grows exponentially with the number of users, the notion of g-group decodable codes is introduced for our setup and a set of necesary and sufficient conditions is also obtained.

Innate immune system and adiponectin in diabetic nephropathy in type 1 diabetes

Introduction: The pathogenesis of diabetic nephropathy remains a matter of debate, although strong evidence suggests that it results from the interaction between susceptibility genes and the diabetic milieu. The true pathogenetic mechanism remains unknown, but a common denominator of micro- and macrovascular complications may exist. Some have suggested that low-grade inflammation and activation of the innate immune system might play a synergistic role in the pathogenesis of diabetic nephropathy. Aims of the study: The present studies were undertaken to investigate whether low-grade inflammation, mannan-binding lectin (MBL) and α-defensin play a role, together with adiponectin, in patients with type 1 diabetes and diabetic nephropathy. Subjects and methods: This study is part of the ongoing Finnish Diabetic Nephropathy Study (FinnDiane). The first four cross-sectional substudies of this thesis comprised 194 patients with type 1 diabetes divided into three groups (normo-, micro-, and macroalbuminuria) according to their albumin excretion rate (AER). The fifth substudy aimed to determine whether baseline serum adiponectin plays a role in the development and progression of diabetic nephropathy. This follow-up study included 1330 patients with type 1 diabetes and a mean follow-up period of five years. The patients were divided into three groups depending on their AER at baseline. As a measure of low-grade inflammation, highly sensitive CRP (hsCRP) and α-defensin were measured with radio-immunoassay, and interleukin-6 (IL-6) with high- sensitivity enzyme immuno-assay. Mannan-binding lectin and adiponectin were determined with time-resolved immunofluorometric assays. The progression of albuminuria from one stage to the other served as a measure of the progression of diabetic nephropathy. Results: Low-grade inflammatory markers, MBL, adiponectin, and α-defensin were all associated with diabetic nephropathy, whereas MBL, adiponectin, and α-defensin per se were unassociated with low-grade inflammatory markers. AER was the only clinical variable independently associated with hsCRP. AER, HDL-cholesterol and the duration of diabetes were independently associated with IL-6. HbA1c was the only variable independently associated with MBL. The estimated glomerular filtration rate (eGFR), AER, and waist-to-hip ratio were independently associated with adiponectin. Systolic blood pressure, HDL-cholesterol, total cholesterol, age, and eGFR were all independently associated with α-defensin. In patients with macroalbuminuria, progression to end-stage renal disease (ESRD) was associated with higher baseline adiponectin concentrations. Discussion and conclusions: Low-grade inflammation, MBL, adiponectin, and defensin were all associated with diabetic nephropathy in these cross-sectional studies. In contrast however, MBL, adiponectin, and defensin were not associated with low-grade inflammatory markers per se. Nor was defensin associated with MBL, which may suggest that these different players function in a coordinated fashion during the deleterious process of diabetic nephropathy. The question of what causes low-grade inflammation in patients with type 1 diabetes and diabetic nephropathy, however, remains unanswered. We could observe in our study that glycemic control, an atherosclerotic lipid profile, and waist-to-hip ratio (WHR) were associated with low-grade inflammation in the univariate analysis, although in the multivariate analysis, only AER, HDL-cholesterol, and the duration of diabetes, as a measure of glycemic load, proved to be independently associated with inflammation. Notably, all these factors are modifiable with changes in lifestyle and/or with a targeted medication. In the follow-up study, elevated serum adiponectin levels at baseline predicted the progression from macroalbuminuria to ESRD independently of renal function at baseline. This observation does not preclude adiponectin as a favorable factor during the process of diabetic nephropathy, since the rise in serum adiponectin concentrations may remain a mechanism by which the body compensates for the demands created by the diabetic milieu.

Modeling transport through an environment crowded by a mixture of obstacles of different shapes and sizes

Many biological environments are crowded by macromolecules, organelles and cells which can impede the transport of other cells and molecules. Previous studies have sought to describe these effects using either random walk models or fractional order diffusion equations. Here we examine the transport of both a single agent and a population of agents through an environment containing obstacles of varying size and shape, whose relative densities are drawn from a specified distribution. Our simulation results for a single agent indicate that smaller obstacles are more effective at retarding transport than larger obstacles; these findings are consistent with our simulations of the collective motion of populations of agents. In an attempt to explore whether these kinds of stochastic random walk simulations can be described using a fractional order diffusion equation framework, we calibrate the solution of such a differential equation to our averaged agent density information. Our approach suggests that these kinds of commonly used differential equation models ought to be used with care since we are unable to match the solution of a fractional order diffusion equation to our data in a consistent fashion over a finite time period.

Sensitivity of Eigen Value to Damage and Its Identification

The reduction in natural frequencies,however small, of a civil engineering structure, is the first and the easiest method of estimating its impending damage. As a first level screening for health-monitoring, information on the frequency reduction of a few fundamentalmodes can be used to estimate the positions and the magnitude of damage in a smeared fashion. The paper presents the Eigen value sensitivity equations, derived from first-order perturbation technique, for typical infra-structural systems like a simply supported bridge girder, modelled as a beam, an endbearing pile, modelled as an axial rod and a simply supported plate as a continuum dynamic system. A discrete structure, like a building frame is solved for damage using Eigen-sensitivity derived by a computationalmodel. Lastly, neural network based damage identification is also demonstrated for a simply supported bridge beam, where the known-pairs of damage-frequency vector is used to train a neural network. The performance of these methods under the influence of measurement error is outlined. It is hoped that the developed method could be integrated in a typical infra-structural management program, such that magnitudes of damage and their positions can be obtained using acquired natural frequencies, synthesized from the excited/ambient vibration signatures.

Decentralized sequential change detection using physical layer fusion

We study the problem of decentralized sequential change detection with conditionally independent observations. The sensors form a star topology with a central node called fusion center as the hub. The sensors transmit a simple function of their observations in an analog fashion over a wireless Gaussian multiple access channel and operate under either a power constraint or an energy constraint. Simulations demonstrate that the proposed techniques have lower detection delays when compared with existing schemes. Moreover we demonstrate that the energy-constrained formulation enables better use of the total available energy than a power-constrained formulation.

The AOL Huffington Post merger

This article examines the merger between AOL and the Huffington Post. The broader issues around the merger will be investigated, especially the implication for rights, in particular free expression, and their conditions for exercise and actual exercise online. One major issue is that of the status of user-generated content and how the existing legal regime reflects the ethical concerns of users over how their content, data and information is used and commodified by the for-profit Internet intermediaries and platforms, especially when they start to merge and form concentrations. The extent to which the current legal regimes, especially human rights, deal with these problems in an adequate fashion will be assessed, along with the presentation of some suggestions of alternative approaches which may be more effective in practice.

On the Average Case Communication Complexity for Detection in Sensor Networks

The problem of sensor-network-based distributed intrusion detection in the presence of clutter is considered. It is argued that sensing is best regarded as a local phenomenon in that only sensors in the immediate vicinity of an intruder are triggered. In such a setting, lack of knowledge of intruder location gives rise to correlated sensor readings. A signal-space viewpoint is introduced in which the noise-free sensor readings associated to intruder and clutter appear as surfaces $\mathcal{S_I}$ and $\mathcal{S_C}$ and the problem reduces to one of determining in distributed fashion, whether the current noisy sensor reading is best classified as intruder or clutter. Two approaches to distributed detection are pursued. In the first, a decision surface separating $\mathcal{S_I}$ and $\mathcal{S_C}$ is identified using Neyman-Pearson criteria. Thereafter, the individual sensor nodes interactively exchange bits to determine whether the sensor readings are on one side or the other of the decision surface. Bounds on the number of bits needed to be exchanged are derived, based on communication complexity (CC) theory. A lower bound derived for the two-party average case CC of general functions is compared against the performance of a greedy algorithm. The average case CC of the relevant greater-than (GT) function is characterized within two bits. In the second approach, each sensor node broadcasts a single bit arising from appropriate two-level quantization of its own sensor reading, keeping in mind the fusion rule to be subsequently applied at a local fusion center. The optimality of a threshold test as a quantization rule is proved under simplifying assumptions. Finally, results from a QualNet simulation of the algorithms are presented that include intruder tracking using a naive polynomial-regression algorithm.

Uplink Power Control and Base Station Association in Multichannel Cellular Networks

A combined base station association and power control problem is studied for the uplink of multichannel multicell cellular networks, in which each channel is used by exactly one cell (i.e., base station). A distributed association and power update algorithm is proposed and shown to converge to a Nash equilibrium of a noncooperative game. We consider network models with discrete mobiles (yielding an atomic congestion game), as well as a continuum of mobiles (yielding a population game). We find that the equilibria need not be Pareto efficient, nor need they be system optimal. To address the lack of system optimality, we propose pricing mechanisms. It is shown that these mechanisms can be implemented in a distributed fashion.

The last avant-garde?: Disability arts and (rethinking) mobility

Taking as its starting point a remark by Turner Prize nominee Yinka Shonibare that disability arts is “the last avant garde”, this panel focuses on the role of aesthetic experimentation in disability arts and the possible rethinking of the relationship between avant-garde aesthetic strategies and inclusive arts. Points of connection between the avant-garde and disability arts include a rejection of traditional aesthetic forms, the development of aesthetic strategies appropriate to non-normative bodies, politics and populations and the implications of these ideas for the conference themes. This panel is intended as a facilitated discussion involving researchers and artists undertaking work in this area. The panel will begin with some brief provocations reflecting on the implication of Shonibare’s comment. For example, Gerard Goggin will discuss three projects by Antoni Abad with artists and activists with disability in Barcelona, Geneva and Montreal as part of Abad’s Megaphone project, a decade-long, global digital art project. Bree Hadley will speak on performative interventions in public space, performance art, live art, activism and culture hacking by artists with disabilities, such as pwd's online performances, and artist’s performative responses to the austerity agenda in the US, UK, and Australasia. Eddie, Lachlan and Sarah will discuss ideas arising from their work on the project Beyond Access: The Creative Case for Inclusive Arts, which involved research with six Melbourne-based artists/artistic companies with disability, supported by Arts Access Victoria. Chair: Dr Eddie Paterson (School of Culture and Communication, Faculty of Arts, University of Melbourne) Dr Bree Hadley (Creative Industries, QUT) Professor Gerard Goggin (Professor of Media and Communication and ARC Future Fellow, University of Sydney) Dr Lachlan MacDowall (Head, Centre for Cultural Partnerships, University of Melbourne). Sarah Austin (PhD candidate, Theatre/Centre for Cultural Partnerships, VCA and MCM) Artists (tbc, based on existing relationships with artists developed in the Beyond Access research).

Theatre, networked performance, and notions of ‘democratised’ spectatorship

The potential to cultivate new relationships with spectators has long been cited as a primary motivator for those using digital technologies to construct networked or telematics performances or para-performance encounters in which performers and spectators come together in virtual – or at least virtually augmented – spaces and places. Today, with Web 2.0 technologies such as social media platforms becoming increasingly ubiquitous, and increasingly easy to use, more and more theatre makers are developing digitally mediated relationships with spectators. Sometimes for the purpose of an aesthetic encounter, sometimes for critical encounter, or sometimes as part of an audience politicisation, development or engagement agenda. Sometimes because this is genuinely an interest, and sometimes because spectators or funding bodies expect at least some engagement via Facebook, Twitter or Instagram. In this paper, I examine peculiarities and paradoxes emerging in some of these efforts to engage spectators via networked performance or para-performance encounters. I use examples ranging from theatre, to performance art, to political activism – from ‘cyberformaces’ on Helen Varley Jamieson’s Upstage Avatar Performance Platform, to Wafaa Bilal’s Domestic Tension installation where spectators around the world could use a webcam in a chat room to target him with paintballs while he was in residence in a living room set up in a gallery for a week, as a comment on use of drone technology in war, to Liz Crow’s Bedding Out where she invited people to physically and virtually join her in her bedroom to discuss the impact of an anti-disabled austerity politics emerging in her country, to Dislife’s use of holograms of disabled people popping up in disabled parking spaces when able bodied drivers attempted to pull into them, amongst others. I note the frequency with which these performance practices deploy discourses of democratisation, participation, power and agency to argue that these technologies assist in positioning spectators as co-creators actively engaged in the evolution of a performance (and, in politicised pieces that point to racism, sexism, or ableism, pushing spectators to reflect on their agency in that dramatic or daily-cum-dramatic performance of prejudice). I investigate how a range of issues – from the scenographic challenges in deploying networked technologies for both participant and bystander audiences others have already noted, to the siloisation of aesthetic, critical and audience activation activities on networked technologies, to conventionalised dramaturgies of response informed by power, politics and impression management that play out in online as much as offline performances, to the high personal, social and professional stakes involved in participating in a form where spectators responses are almost always documented, recorded and re-represented to secondary and tertiary sets of spectators via the circulation into new networks social media platforms so readily facilitate – complicate discourses of democratic co-creativity associated with networked performance and para-performance activities.

The hard work of leisure: Healthy life, activewear and Lorna Jane

Since the 2000s activewear has grown as a fashion category, and the tropes of gym wear – leggings, leotards and block colours – have become fashionable attire for both men and women outside the gym. This article examines the rise of activewear in the context of an on-going dialogue between fashion and sport since the beginning of the twentieth century. Through an analysis of the Australian activewear label, Lorna Jane, we consider the fashionable female body as both the object and subject of a consumer culture that increasingly overlays leisure with fashion. Activewear can be seen as the embodiment of an active and fashionable lifestyle that is achieved through a regime of self-discipline, and that symbolizes the pleasure in attaining and displaying the healthy and fit body.

Investigation of the interaction between non-small cell lung cancer cells and immortalised normal bronchial epithelial cells

Non-small cell lung cancer consists of a diverse range of molecular and pathological features. This may be due in part to the critical interaction between normal and lung cancer cells. Consequently resulting in ‘normal’ cells acting in a malignant fashion. This project aims to identify pathways responsible for this altered ‘normal’ behaviour.

Aspects of Inflationary Models at Low Energy Scales

Cosmological inflation is the dominant paradigm in explaining the origin of structure in the universe. According to the inflationary scenario, there has been a period of nearly exponential expansion in the very early universe, long before the nucleosynthesis. Inflation is commonly considered as a consequence of some scalar field or fields whose energy density starts to dominate the universe. The inflationary expansion converts the quantum fluctuations of the fields into classical perturbations on superhorizon scales and these primordial perturbations are the seeds of the structure in the universe. Moreover, inflation also naturally explains the high degree of homogeneity and spatial flatness of the early universe. The real challenge of the inflationary cosmology lies in trying to establish a connection between the fields driving inflation and theories of particle physics. In this thesis we concentrate on inflationary models at scales well below the Planck scale. The low scale allows us to seek for candidates for the inflationary matter within extensions of the Standard Model but typically also implies fine-tuning problems. We discuss a low scale model where inflation is driven by a flat direction of the Minimally Supersymmetric Standard Model. The relation between the potential along the flat direction and the underlying supergravity model is studied. The low inflationary scale requires an extremely flat potential but we find that in this particular model the associated fine-tuning problems can be solved in a rather natural fashion in a class of supergravity models. For this class of models, the flatness is a consequence of the structure of the supergravity model and is insensitive to the vacuum expectation values of the fields that break supersymmetry. Another low scale model considered in the thesis is the curvaton scenario where the primordial perturbations originate from quantum fluctuations of a curvaton field, which is different from the fields driving inflation. The curvaton gives a negligible contribution to the total energy density during inflation but its perturbations become significant in the post-inflationary epoch. The separation between the fields driving inflation and the fields giving rise to primordial perturbations opens up new possibilities to lower the inflationary scale without introducing fine-tuning problems. The curvaton model typically gives rise to relatively large level of non-gaussian features in the statistics of primordial perturbations. We find that the level of non-gaussian effects is heavily dependent on the form of the curvaton potential. Future observations that provide more accurate information of the non-gaussian statistics can therefore place constraining bounds on the curvaton interactions.

Local numerical modelling of magnetoconvection and turbulence - implications for mean-field theories

During the last decades mean-field models, in which large-scale magnetic fields and differential rotation arise due to the interaction of rotation and small-scale turbulence, have been enormously successful in reproducing many of the observed features of the Sun. In the meantime, new observational techniques, most prominently helioseismology, have yielded invaluable information about the interior of the Sun. This new information, however, imposes strict conditions on mean-field models. Moreover, most of the present mean-field models depend on knowledge of the small-scale turbulent effects that give rise to the large-scale phenomena. In many mean-field models these effects are prescribed in ad hoc fashion due to the lack of this knowledge. With large enough computers it would be possible to solve the MHD equations numerically under stellar conditions. However, the problem is too large by several orders of magnitude for the present day and any foreseeable computers. In our view, a combination of mean-field modelling and local 3D calculations is a more fruitful approach. The large-scale structures are well described by global mean-field models, provided that the small-scale turbulent effects are adequately parameterized. The latter can be achieved by performing local calculations which allow a much higher spatial resolution than what can be achieved in direct global calculations. In the present dissertation three aspects of mean-field theories and models of stars are studied. Firstly, the basic assumptions of different mean-field theories are tested with calculations of isotropic turbulence and hydrodynamic, as well as magnetohydrodynamic, convection. Secondly, even if the mean-field theory is unable to give the required transport coefficients from first principles, it is in some cases possible to compute these coefficients from 3D numerical models in a parameter range that can be considered to describe the main physical effects in an adequately realistic manner. In the present study, the Reynolds stresses and turbulent heat transport, responsible for the generation of differential rotation, were determined along the mixing length relations describing convection in stellar structure models. Furthermore, the alpha-effect and magnetic pumping due to turbulent convection in the rapid rotation regime were studied. The third area of the present study is to apply the local results in mean-field models, which task we start to undertake by applying the results concerning the alpha-effect and turbulent pumping in mean-field models describing the solar dynamo.

Scheduling tools to reduce the cost of cane railway transport

Cane railway systems provide empty bins for harvesters to fill and full bins of cane for the factory to process. These operations need to be conducted in a timely fashion to minimise delays to harvesters and the factory and to minimise the cut-to-crush delay, while also minimising the cost of providing this service. A range of tools has been provided over the years to assist in this process. This paper reviews the objectives of the cane transport system and the tools available to achieve those objectives. The facilities within these tools to assist in the control of costs are highlighted.