2,113 research outputs found
Domain Names in Turkey
No full textTurkey faces both unique and common domain name regulatory issues. In this paper, the author focuses on the challenges ahead for Turkey, with especial focus on the regulation of IDNs
Plagiarism: concepts and contexts
No full textAfter outlining the key difficulties in modern literature on academic plaigarism, the author suggests that these may be resolved by a new model of plaigarism (whilst noting that this new model does raise additional uncertainties, e.g. as to the status of 'self plagiarism') that she has developed
Dictionary of Acoustics
No full textThe science and technology of acoustics embraces an unusually wide range of disciplines, from aircraft noise reduction to ultrasonics in medicine, from psychoacoustics to signal processing. The student of acoustics has to become familiar with a corresponding range of specialist terms in order to communicate with others and to understand the literature. Here, in one informative dictionary, for the first time, are listed accurate and helpful definitions to provide the student - or the specialist from another discipline - with a point of entry into the world of acoustics. The dictionary's 2,800 entries cover most of the essential concepts and terminology that the practicing acoustician needs to understand, outside the subfields of music and speech communication. The author has drawn on experience gained during a long career spent mostly at Southampton University's multidisciplinary Institute of Sound and Vibration Research, supplemented by the expertise and perspective of a team of subject specialists
Also By The Same Author: AKTiveAuthor, a Citation Graph Approach to Name Disambiguation
No full textThe desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particular, name disambiguation is required to allow accurate publication lists, citation counts and impact measures to be determined. This paper describes a graph-based approach to author disambiguation on large-scale citation networks. Using self-citation, co-authorship and document source analyses, AKTiveAuthor clusters papers, achieving precision of 0.997 and recall of 0.818 over a test group of eight surname clusters
Modelling of turbulent jets and wall layers: extensions of Lighthill's acoustic analogy with application to computational aeroacoustics
No full textTwo extensions to Lighthill’s aeroacoustic analogy are presented. First, equivalent sources due to initial conditions are derived that supplement those due to boundary conditions, as given by Ffowcs Williams & Hawkings. The resulting exact inhomogeneous wave equation is then reformulated with pressure rather than density as the wave variable, and the right-hand side is rearranged using the energy equation with no additional assumptions. Applications to computational aeroacoustics are discussed, and illustrated with examples based on 2D and 3D simulations
Coauthor prediction for junior researchers
No full textResearch collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
Dwelling Configurator: Inciting sustainable renovation for owner-occupied housing
No full textThis thesis tries to provide an answer to the question: How can owner-occupiers of single-family dwellings be effectively incited to renovate their dwelling with the prime reason to improve its energy performance? The research involves influential factors such as statistics on Dutch renovation, awareness, knowledge, building process and available products. This is then translated into a solution called the 'Dwelling Configurator'. This program provides information and awareness, as wel as a case-specific virtual 'trial' for a potential renovation, with existing products and prices. This way it ables the owner-occupier to become the architect of his own renovationSustainable Design Graduation StudioArchitectural Engineering and TechnologyArchitecture and The Built Environmen
Global adaptation in networks of selfish components: emergent associative memory at the system scale
No full textIn some circumstances complex adaptive systems composed of numerous self-interested agents can self-organise into structures that enhance global adaptation, efficiency or function. However, the general conditions for such an outcome are poorly understood and present a fundamental open question for domains as varied as ecology, sociology, economics, organismic biology and technological infrastructure design. In contrast, sufficient conditions for artificial neural networks to form structures that perform collective computational processes such as associative memory/recall, classification, generalisation and optimisation, are well-understood. Such global functions within a single agent or organism are not wholly surprising since the mechanisms (e.g. Hebbian learning) that create these neural organisations may be selected for this purpose, but agents in a multi-agent system have no obvious reason to adhere to such a structuring protocol or produce such global behaviours when acting from individual self-interest. However, Hebbian learning is actually a very simple and fully-distributed habituation or positive feedback principle. Here we show that when self-interested agents can modify how they are affected by other agents (e.g. when they can influence which other agents they interact with) then, in adapting these inter-agent relationships to maximise their own utility, they will necessarily alter them in a manner homologous with Hebbian learning. Multi-agent systems with adaptable relationships will thereby exhibit the same system-level behaviours as neural networks under Hebbian learning. For example, improved global efficiency in multi-agent systems can be explained by the inherent ability of associative memory to generalise by idealising stored patterns and/or creating new combinations of sub-patterns. Thus distributed multi-agent systems can spontaneously exhibit adaptive global behaviours in the same sense, and by the same mechanism, as the organisational principles familiar in connectionist models of organismic learning
If you can't be with the one you love, love the one you're with: How individual habituation of agent interactions improves global utility
No full textSimple distributed strategies that modify the behaviour of selfish individuals in a manner that enhances cooperation or global efficiency have proved difficult to identify. We consider a network of selfish agents who each optimise their individual utilities by coordinating (or anti-coordinating) with their neighbours, to maximise the pay-offs from randomly weighted pair-wise games. In general, agents will opt for the behaviour that is the best compromise (for them) of the many conflicting constraints created by their neighbours, but the attractors of the system as a whole will not maximise total utility. We then consider agents that act as 'creatures of habit' by increasing their preference to coordinate (anti-coordinate) with whichever neighbours they are coordinated (anti-coordinated) with at the present moment. These preferences change slowly while the system is repeatedly perturbed such that it settles to many different local attractors. We find that under these conditions, with each perturbation there is a progressively higher chance of the system settling to a configuration with high total utility. Eventually, only one attractor remains, and that attractor is very likely to maximise (or almost maximise) global utility. This counterintutitve result can be understood using theory from computational neuroscience; we show that this simple form of habituation is equivalent to Hebbian learning, and the improved optimisation of global utility that is observed results from wellknown generalisation capabilities of associative memory acting at the network scale. This causes the system of selfish agents, each acting individually but habitually, to collectively identify configurations that maximise total utility
Jet mixing noise: a review of single stream temperature effects
No full textThe work of Viswanathan and others in recent years has raised seriousquestions about jet noise databases such as that of Tanna - the two underlyingconcerns being noise contamination and the effect of Reynolds number - and asa result it has been argued that the effects of temperature have beenmisunderstood in the past. In this paper, we have compared the Tanna datawith that of QinetiQ [1983], which has a similar nozzle size and hence Reynoldsnumber to that of the data of Viswanathan and although we find similardifferences, we argue there are other reasons for this. Apart from extensive rigvalidation, Tanna & Morris repeated their static tests with a simulated flightstream and a substantial flight effect was observed. This would not have beenpossible if there had been significant noise contamination. In fact, thesedifferences are more likely due to some other effect related to comparing datafrom two different facilities and/or two different nozzles, as shown by Bridges &Brown and discussed in depth by Harper-Bourne at this conference. It isconcluded the available experimental evidence still strongly indicates thepresence of an additional dipole source due to heating that scales on the sixthpower of jet velocity. A brief review of recent flow-acoustic interactioncomputations based on the Lilley-Goldstein equation has confirmed that flowacousticinteractions cannot be the main reason for the effects of heating at lowvelocity ratios even though the quadrupole source in sheared flow is clearly‘amplifying’ the sound radiation at low frequencies. Finally convectiveamplification effects are briefly considered in both isothermal and heated jet
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