195 research outputs found
Kraichnan-Leith-Batchelor similarity theory and two-dimensional inverse cascades
No full textWe study the scaling properties and Kraichnan-Leith-Batchelor (KLB) theory of forced inverse cascades in generalized two-dimensional (2D) fluids (-turbulence models) simulated at resolution . We consider (surface quasigeostrophic flow), (2D vorticity dynamics) and . The forcing scale is well-resolved, a direct cascade is present and there is no large-scale dissipation. Coherent vortices spanning a range of sizes, most larger than the forcing scale, are present for both and . The active scalar field for contains comparatively few and small vortices. The energy spectral slopes in the inverse cascade are steeper than the KLB prediction in all three systems. Since we stop the simulations well before the cascades have reached the domain scale, vortex formation and spectral steepening are not due to condensation effects; nor are they caused by large-scale dissipation, which is absent. One- and two-point pdfs, hyperflatness factors and structure functions indicate that the inverse cascades are intermittent and non-Gaussian over much of the inertial range for and , while the inverse cascade is much closer to Gaussian and non-intermittent. For the steep spectrum is close to that associated with enstrophy equipartition. Continuous wavelet analysis shows approximate KLB scaling () and () in the interstitial regions between the coherent vortices. Our results demonstrate that coherent vortex formation ( and ) and non-realizability () cause 2D inverse cascades to deviate from the KLB predictions, but that the flow between the vortices exhibits KLB scaling and non-intermittent statistics for and . The results will appear in \cite{BurgessEA2015}, which has been accepted to the \emph{Journal of Fluid Mechanics}
Absorbing new subjects: holography as an analog of photography
No full textI discuss the early history of holography and explore how perceptions, applications, and forecasts of the subject were shaped by prior experience. I focus on the work of Dennis Gabor (1900–1979) in England,Yury N. Denisyuk (b. 1924) in the Soviet Union, and Emmett N. Leith (1927–2005) and Juris Upatnieks (b. 1936) in the United States. I show that the evolution of holography was simultaneously promoted and constrained by its identification as an analog of photography, an association that influenced its assessment by successive audiences of practitioners, entrepreneurs, and consumers. One consequence is that holography can be seen as an example of a modern technical subject that has been shaped by cultural influences more powerfully than generally appreciated.
Conversely, the understanding of this new science and technology in terms of an older one helps
to explain why the cultural effects of holography have been more muted than anticipated by forecasters
between the 1960s and 1990s
Penalized FTRL with Time-Varying Constraints
No full textIn this paper we extend the classical Follow-The-Regularized-Leader (FTRL) algorithm to encompass time-varying constraints, through adaptive penalization. We establish sufficient conditions for the proposed Penalized FTRL algorithm to achieve O(t) regret and violation with respect to a strong benchmark X^tmax. Lacking prior knowledge of the constraints, this is probably the largest benchmark set that we can reasonably hope for. Our sufficient conditions are necessary in the sense that when they are violated there exist examples where O(t) regret and violation is not achieved. Compared to the best existing primal-dual algorithms, Penalized FTRL substantially extends the class of problems for which O(t) regret and violation performance is achievable.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Networked System
Lazy Lagrangians for Optimistic Learning With Budget Constraints
No full textWe consider the general problem of online convex optimization with time-varying budget constraints in the presence of predictions for the next cost and constraint functions, that arises in a plethora of network resource management problems. A novel saddle-point algorithm is designed by combining a Follow-The-Regularized-Leader iteration with prediction-adaptive dynamic steps. The algorithm achieves O(T(3β/4) regret and O(T(1+β)/2) constraint violation bounds that are tunable via parameter β ∈ [1/2,1) and have constant factors that shrink with the predictions quality, achieving eventually O(1) regret for perfect predictions. Our work extends the seminal FTRL framework for this new OCO setting and outperforms the respective state-of-the-art greedy-based solutions which naturally cannot benefit from predictions, without imposing conditions on the (unknown) quality of predictions, the cost functions or the geometry of constraints, beyond convexity.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Embedded System
Export processing zones: a Caribbean development dilemma
No full textThe author describes incentives used by governments to attract foreign investment and create export processing zones (EPZs), also known as special economic or free trade zones. The low cost of labour, mostly provided by women, is one of these incentives. Making special reference to Jamaica, Belize, and Barbados, the author discusses the impact of EPZs on the Caribbean, and the challenges facing small countries in the face of monopoly agreements.This article is hosted by our co-publisher Taylor & Francis.</p
Elements and uniform parts in early Alexandrian medicine
No full textThis is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.This paper argues that the Alexandrian physicians Erasistratus of Iulis and Herophilus of Chalcedon adopted Aristotle’s analysis of the composition of organic bodies into three levels, namely elements, uniform, and non-uniform parts. They asserted that it was not the task of the doctor to analyse the body at the level of elements, that the uniform parts, being perceptible, should be taken to be most basic in the context of medicine, and that the inquiry into the elements be left to philosophers. The paper explores the possible motivations behind this restriction, and considers more generally its connections to the Peripatetic background
A gazetteer and summary of French pottery imported into Scotland c. 1150 to c. 1650 a ceramic contribution to Scotland's economic history Ceramic Resource Disc 3
No full textThe proposal for a series of published inventories, by countries, of all the imported medieval and post medieval pottery recovered from excavations and field walking in Scotland, was advanced on the final day of the Medieval Pottery Research Group’s conference held in Edinburgh in May 2001. Taking on the roll of creating a gazetteer and catalogue of French pottery in Scotland, it was the authors aim to build on the pioneering work of John Hurst and other medieval ceramicists and in the process make a contribution to the ongoing research on identifiable medieval and post-medieval ceramics traded around the North and Irish Sea
AutoML for video analytics with edge computing
No full textVideo analytics constitute a core component of many wireless services that require processing of voluminous data streams emanating from handheld devices. Multi-Access Edge Computing (MEC) is a promising solution for supporting such resource-hungry services, but there is a plethora of configuration parameters affecting their performance in an unknown and possibly time-varying fashion. To overcome this obstacle, we propose an Automated Machine Learning (AutoML) framework for jointly configuring the service and wireless network parameters, towards maximizing the analytics' accuracy subject to minimum frame rate constraints. Our experiments with a bespoke prototype reveal the volatile and system/data-dependent performance of the service, and motivate the development of a Bayesian online learning algorithm which optimizes on-the-fly the service performance. We prove that our solution is guaranteed to find a near-optimal configuration using safe exploration, i.e., without ever violating the set frame rate thresholds. We use our testbed to further evaluate this AutoML framework in a variety of scenarios, using real datasets.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Embedded System
Selective Edge Computing for Mobile Analytics
No full textAn increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitting and processing large data volumes at distant cloud-deployed servers. However, due to memory and computing limitations, the devices often cannot support the required resource-intensive routines and fail to accurately execute such tasks. In this work, we address the problem of edge-assisted analytics in resourceconstrained systems by proposing and evaluating a rigorous selective offloading framework. The devices execute their tasks locally and outsource them to cloudlet servers only when they predict a significant performance improvement. We consider the practical scenario where the offloading gains and resource costs are time-varying; and propose an online optimization algorithm that maximizes the service performance without requiring to know this information. Our approach relies on an approximate dual subgradient method combined with a primal-averaging scheme, and works under minimal assumptions about the system stochasticity. We fully implement the proposed algorithm in a wireless testbed and evaluate its performance using a state-of-theart image recognition application, finding significant performance gains and cost savings.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Embedded System
How learning English facilitates integration for adult migrants: the Jarrah Language Centre experience. Occasional paper
No full textThis is an open-access report distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Using interviews with adult migrants over a period of two years, the author looked at how undertaking an English as a second language (ESL) class helps to facilitate integration into Australian society. Overall, not being competent and confident in speaking English was seen by all (migrants and ESL teachers) as the biggest barrier to integration. If migrants were confident in speaking English they were able to find employment, move into mainstream study and engage more in social activities. This paper was funded through an academic scholarship as part of NCVER's Building Researcher Capacity Program.Holmesglen English Language CentreHolmesglen Institut
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