52,095 research outputs found

    Scalable SD Erlang Reliability Model

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    This technical report presents the work we have conducted to support SD Erlang reliability and to formally specify the semantics of s groups. We have considered the following aspects of SD Erlang reliability: node recovery after failures and s group name uniqueness

    Limited Angle Acousto-Electrical Tomography

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    This paper considers the reconstruction problem in Acousto-Electrical Tomography, i.e., the problem of estimating a spatially varying conductivity in a bounded domain from measurements of the internal power densities resulting from different prescribed boundary conditions. Particular emphasis is placed on the limited angle scenario, in which the boundary conditions are supported only on a part of the boundary. The reconstruction problem is formulated as an optimization problem in a Hilbert space setting and solved using Landweber iteration. The resulting algorithm is implemented numerically in two spatial dimensions and tested on simulated data. The results quantify the intuition that features close to the measurement boundary are stably reconstructed and features further away are less well reconstructed. Finally, the ill-posedness of the limited angle problem is quantified numerically using the singular value decomposition of the corresponding linearized problem.Comment: 23 page

    A Comparative Study of Refactoring Haskell and Erlang Programs

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    Refactoring is about changing the design of existing code without changing its behaviour, but with the aim of making code easier to understand, modify, or reuse. Taking Haskell and Erlang as examples, we investigate the application of refactoring techniques to functional programs, and building tools for supporting interactive refactoring. Although both Haskell and Erlang are general-purpose functional programming languages, they have many differences in their language design and programming idioms. As a result, program refactoring in the two languages has much in common, but also considerable differences. This paper makes this comparison, and in particular looks in more detail at the refactorings applicable in each language, the program analysis required by typical refactorings, and at tool support for refactoring Haskell and Erlang programs

    Improved semantics and implementation through property-based testing with QuickCheck

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    Recognising the Clothing Categories from Free-Configuration Using Gaussian-Process-Based Interactive Perception

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    In this paper, we propose a Gaussian Process- based interactive perception approach for recognising highly- wrinkled clothes. We have integrated this recognition method within a clothes sorting pipeline for the pre-washing stage of an autonomous laundering process. Our approach differs from reported clothing manipulation approaches by allowing the robot to update its perception confidence via numerous interactions with the garments. The classifiers predominantly reported in clothing perception (e.g. SVM, Random Forest) studies do not provide true classification probabilities, due to their inherent structure. In contrast, probabilistic classifiers (of which the Gaussian Process is a popular example) are able to provide predictive probabilities. In our approach, we employ a multi-class Gaussian Process classification using the Laplace approximation for posterior inference and optimising hyper-parameters via marginal likelihood maximisation. Our experimental results show that our approach is able to recognise unknown garments from highly-occluded and wrinkled con- figurations and demonstrates a substantial improvement over non-interactive perception approaches

    Population genetics models of local ancestry

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    Migrations have played an important role in shaping the genetic diversity of human populations. Understanding genomic data thus requires careful modeling of historical gene flow. Here we consider the effect of relatively recent population structure and gene flow, and interpret genomes of individuals that have ancestry from multiple source populations as mosaics of segments originating from each population. We propose general and tractable models for describing the evolution of these patterns of local ancestry and their impact on genetic diversity. We focus on the length distribution of continuous ancestry tracts, and the variance in total ancestry proportions among individuals. The proposed models offer improved agreement with Wright-Fisher simulation data when compared to state-of-the art models, and can be used to infer various demographic parameters in gene flow models. Considering HapMap African-American (ASW) data, we find that a model with two distinct phases of `European' gene flow significantly improves the modeling of both tract lengths and ancestry variances.Comment: 25 pages with 7 figures; Genetics: Published online before print April 4, 201
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