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Using bayesian networks to model competence of lifeboat coxswains

100%

Billard R. , Smith J. , Masharraf M. , Veitch B.

tom Vol. 14. no. 3

585--594

The assessment of lifeboat coxswain performance in operational scenarios representing offshore emergencies has been prohibitive due to risk. For this reason, human performance in plausible emergencies is difficult to predict due to the limited data that is available. The advent of lifeboat simulation provides a means to practice in weather conditions representative of an offshore emergency. In this paper, we present a methodology to create probabilistic models to study this new problem space using Bayesian Networks (BNs) to formulate a model of competence. We combine expert input and simulator data to create a BN model of the competence of slow-speed maneuvering (SSM). We demonstrate how the model is improved using data collected in an experiment designed to measure performance of coxswains in an emergency scenario. We illustrate how this model can be used to predict performance and diagnose background information about the student. The methodology demonstrates the use of simulation and probabilistic methods to increase domain awareness where limited data is available. We discuss how the methodology can be applied to improve predictions and adapt training using machine learning.

Wizyjna kontrola rozmiaru jeziorka spawalniczego w czasie rzeczywistym

88%

Lucas W. , Smith J. , Balfour C. , Bertaso D. , Melton G.

2009

tom R. 81, nr 1

11-16

Omówiono technikę komputerowego przetwarzania obrazów, opartą na pomiarze i kontroli w czasie rzeczywistym powierzchni lub rozmiaru jeziorka spawalniczego od strony źródła ciepła i od strony przetopu. Wykazano możliwości zastosowania komputerowego przetwarzania obrazu do utrzymania wymiarów przez wykonanie pomiarów oraz sterowanie procesem topienia i formowania spoiny. Opracowano algorytm analizy obrazu oparty na porównywaniu z wzorcem, który może być dobrany dla różnych metod spawania. Regulacja szerokości powierzchni jeziorka spawalniczego od strony źródła ciepła, za pomocą prostego klasycznego algorytmu sterowania ze sprzężeniem zwrotnym, umożliwia polepszenie jednorodności i powtarzalności spoiny przy zmieniających się warunkach odprowadzenia ciepła.

A computer vision technique based on the real-time measurement and control of the upper surface or 'topface' weld pool size is discussed. The primary objective has been to demonstrate the feasibility of using vision based image processing to provide measurements and the subsequent control of weld geometrical properties during the weld formation or molten phase. A novel reference feature correlation based image analysis algorithm has been developed that may be configured to operate with a number of different welding processes. Upper surface weld pool with regulation via a simple classical feedback control algorithm has then been demonstrated to show how this approach may be used to improve weld uniformity and repeatability.

Partial semigroups and primality indicators in the fractal generation of binomial coefficients to a prime square modulus

88%

Doan D. , Kivunge B. , Smith J. , Sykes T. , Teplitskiy M.

tom Vol. 42, nr 1

23-39

This paper, resulting from two summer programs of Research Experience for Undergraduates, examines the congruence classes of binomial coefficients to a prime square modulus as given by a fractal generation process for lattice path counts. The process depends on the isomorphism of partial semigroup structures associated with each iteration. We also consider integrality properties of certain critical coefficients that arise in the generation process. Generalizing the application of these coefficients to arbitrary arguments, instead of just to the prime arguments appearing in their original function, it transpires that integrality of the coefficients is indicative of the primality of the argument.