Support vector machine for functional data classification

In many applications, input data are sampled functions taking their values in infinite dimensional spaces rather than standard vectors. This fact has complex consequences on data analysis algorithms that motivate modifications of them. In fact most of the traditional data analysis tools for regression, classification and clustering have been adapted to functional inputs under the general name of functional Data Analysis (FDA). In this paper, we investigate the use of Support Vector Machines (SVMs) for functional data analysis and we focus on the problem of curves discrimination. SVMs are large margin classifier tools based on implicit non linear mappings of the considered data into high dimensional spaces thanks to kernels. We show how to define simple kernels that take into account the unctional nature of the data and lead to consistent classification. Experiments conducted on real world data emphasize the benefit of taking into account some functional aspects of the problems.Comment: 13 page

Numerical modelling of spoolable thermoplastic composite pipe (TCP) under combined bending and thermal load

Peer reviewedPublisher PD

Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis

In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional MLP. We obtain universal approximation results that show the expressive power of functional MLP is comparable to that of numerical MLP. We obtain consistency results which imply that the estimation of optimal parameters for functional MLP is statistically well defined. We finally show on simulated and real world data that the proposed model performs in a very satisfactory way.Comment: http://www.sciencedirect.com/science/journal/0893608

Failure analysis of thermoplastic composite pipe (TCP) under combined pressure, tension and thermal gradient for an offshore riser application

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Effects of thermal gradient on failure of a thermoplastic composite pipe (TCP) riser leg

Acknowledgements The authors wish to thank Dr Oleksandr Menshykov and Dr Maryna Menshykova of the Centre for Micro- and Nanomechanics, University of Aberdeen, for providing MATLAB script for validation purposes. Corrigendum to “Effects of thermal gradient on failure of a thermoplastic composite pipe (TCP) riser leg” [Int. J. Pres. Ves. Pip. 172 (2019) 90–99] at https://doi.org/10.1016/j.ijpvp.2020.104172Peer reviewedPostprin

Coupled thermomechanical analysis of thermoplastic composite pipe by FEM simulations

Peer reviewedPublisher PD

A System for Real-Time Interactive Analysis of Deep Learning Training

Performing diagnosis or exploratory analysis during the training of deep learning models is challenging but often necessary for making a sequence of decisions guided by the incremental observations. Currently available systems for this purpose are limited to monitoring only the logged data that must be specified before the training process starts. Each time a new information is desired, a cycle of stop-change-restart is required in the training process. These limitations make interactive exploration and diagnosis tasks difficult, imposing long tedious iterations during the model development. We present a new system that enables users to perform interactive queries on live processes generating real-time information that can be rendered in multiple formats on multiple surfaces in the form of several desired visualizations simultaneously. To achieve this, we model various exploratory inspection and diagnostic tasks for deep learning training processes as specifications for streams using a map-reduce paradigm with which many data scientists are already familiar. Our design achieves generality and extensibility by defining composable primitives which is a fundamentally different approach than is used by currently available systems. The open source implementation of our system is available as TensorWatch project at https://github.com/microsoft/tensorwatch.Comment: Accepted at ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2019). Code available as TensorWatch project at https://github.com/microsoft/tensorwatc

Gloria Patri, Gender, and the Gulf War: A Conversation with Mary Kelly

Mary Kelly\u27s gallery size installation, entitled Gloria Patri, was first shown at the Herbert F. Johnson Museum, Cornell University in 1992. Gloria Patri focuses on the issues of heroism, mastery, and war within the context of a pathologized masculinity; that is, on the identification by both men and women with masculine ideals of mastery, domination, and control, and their simultaneous physical and psychological collapse. This crisis of masculine mastery is set against the backdrop of the Persian Gulf War

Permit Stacking as an Approach to Implementing Harvest Rights That Can Be Transferred and Accumulated

The current U.S. moratorium on implementation of new Individual Quota (IQ) programs has left fishery managers without an important tool in the quest for successful management systems. Meanwhile, many fisheries, such as the west coast groundfish fishery, are in desperate need of capacity reduction and more flexible management. The Pacific Fishery Management Council (PFMC) has, since 1994, employed a license limitation program for most of its groundfish fishery. Management objectives identified for this fishery include the provision of year-round supplies of fresh fish to regional markets. To promote this objective the Council has adopted, over the past 15 years, an evolving web of individual-trip and cumulative-time-period landing limits, which slow the pace of the fishery. In recent years, downturns in the perceived health of several stocks, combined with more stringent rebuilding requirements, have resulted in dramatic reductions in the limits for many species. With little hope of implementing a permit buyback initiative, the PFMC is currently considering alternatives for voluntary and mandatory permit stacking to achieve fleet reduction and, in turn, higher limits for vessels on the water. Stacking may prove to be an effective intermediate step towards IQs for fisheries combining limited access with some form of effort/output controls. In relatively small fisheries, particularly those with existing permit programs and output/effort restrictions, permit stacking may represent a cost-effective means of facilitatating fleet consolidation and individual accumulation of harvest rights.Keywords: fishery management, property right