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International Joint Conference on Neural Networks (IJCNN)

作者： N.M. Wanas M.S. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada

There exist numerous schemes and methods to determine the output of an ensemble of classifiers. The most common approach being the majority vote. Furthermore, we might expect that an improvement can be achieved if there is a method by which we may weigh the members of the ensemble according to their individual performance. The feature based approach presented an architecture that tries to approach this target. However, if there is a way that the final classification may influence these weights we should expect an increased performance in the overall classification task. In this paper we present a new training algorithm that utilizes a feedback mechanism to iteratively improve the classification capability of the feature based approach. This approach is compared with the standard training method as well as standard aggregation schemes for combining classifier ensembles. Empirical results show that this architecture improved on classification accuracy.

关键词： Neural networks Voting Detectors Pattern analysis Machine intelligence System analysis and design design engineering systems engineering and theory Iterative algorithms Jacobian matrices

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A coordination mechanism for model-based multi-sensor planning

A coordination mechanism for model-based multi-sensor planni...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： M. Kamel L. Hodge Department of Systems Design Engineering Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Waterloo ONT Canada

This paper presents a multi-agent system for coordinating the deployment of multiple sensors in a modeled environment. The sensing task is the maximal sensor coverage of one or more targets in a scene and the position of each sensor is controlled by an autonomous agent. The agents rely on negotiation to achieve the level of coordination necessary to accomplish the given sensing task. Currently, the system focuses on the use of cameras for visual inspection tasks in which a single camera may be inadequate due to occluding objects in the scene, the number of targets to be observed or the sheer size of the target. The paper presents the negotiation mechanism developed for the multi-agent planning of the camera positions and illustrates its effectiveness by an example. Results show that the agents were able to autonomously position the cameras so as to allow for an acceptable level of coverage of the targets being observed.

关键词： Cameras Sensor systems Layout Inspection Intelligent sensors Sensor phenomena and characterization Control systems Art Pattern analysis Machine intelligence

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Mapping and pseudo-inverse algorithms for data assimilation

Mapping and pseudo-inverse algorithms for data assimilation

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： P. Fieguth D. Menemenlis I. Fukumori Systems Design Engineering University of Waterloo Waterloo ONT Canada Ocean Science Research Element Jet Propulsion Laboratory Pasadena CA USA

Among existing ocean data assimilation methodologies, reduced-state Kalman filters are a widely-studied compromise between resolution, optimality, error specification, and computational feasibility. In such reduced-state filters, the measurement update takes place on a coarser grid than that of the general circulation model (GCM); therefore, these filters require mapping operators from the GCM grid to the reduced state and vice-versa. The general requirements are that the state-reduction and interpolation operators be pseudo-inverses of each other, that the coarse state defines a closed dynamical system, that the mapping operations be insensitive to noise, and that they be appropriate for regions with irregular coastlines and bathymetry. In this paper we investigate a variety of approaches, including computing the pseudoinverse by brute force, using the FFT, subsampling methods, implicit methods, and finally develop a novel iterative approach. We also evaluate the mapping performance of eleven interpolation kernels; surprisingly, common kernels such as bilinear, exponential, Gaussian, and sinc, performed only moderately well. This comprehensive study greatly reduces the computational bottleneck and guesswork of pseudo-inverse algorithms, making possible the application of reduced-state filters to global problems at state-of-the-art resolution.

关键词： Data assimilation Filters Interpolation Kernel Oceans Sea measurements Oceanographic techniques Iterative methods Performance evaluation Iterative algorithms

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Information models of design constraints for collaborative product development

Information models of design constraints for collaborative p...

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Geometric Modeling and Processing

作者： G. Theodosiou N.S. Sapidis A. Bouras Depart. of Naval Architecture & Marine Engineering Ship-Design Laboratory National and Technical University of Athens Athens Greece Department of Product and Systems Design Engineering University of Aegean Syros Greece Advanced Production Information Systems PRISMa Laboratory IUT Lumiere Lumière University France

Complex products and systems, like an aircraft, ship, or machinery plant, involve a large number of components which are arranged under spatial constraints/relationships in the design space. Current practices approximate these relationships. with simplified "dimensional constraints" aiming at formulating the design problem as a system of (in)equalities to be solved automatically, e.g., by a geometric-constraint solver This research proposes informationally-complete models for design-constraints based on an analysis of geometric and non-geometric properties of the related space volumes. Also, an extended product model is proposed describing the system's structure and components as well as related procedures and constraints to be used as a system life-cycle model.

关键词： Collaboration Product development Solid modeling Frequency selective surfaces design engineering Machinery design automation systems engineering and theory Aircraft Marine vehicles

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A hierarchical genetic algorithm for the design of beta basis function neural network

A hierarchical genetic algorithm for the design of beta basi...

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International Joint Conference on Neural Networks (IJCNN)

作者： C. Aouiti A.M. Alimi F. Karray A. Maalej Faculty of Sciences of Bizerta Universite de Carthage Tunisia Department of Electrical Engineering REGIM: Research Group on Intelligent Machines University of Sfax Sfax Tunisia Systems design Engineering Department Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Waterloo ONT Canada Department of Mechanical Engineering University of Sfax ENIS Sfax Tunisia

We propose an evolutionary neural network-training algorithm for beta basis function neural networks (BBFNN). Classic training algorithms for neural networks start with a predetermined network structure. Generally the network resulting from learning applied to a predetermined architecture is either insufficient or over-complicated. This paper describes a hierarchical genetic learning model of the BBFNN. In order to examine the performance of the proposed algorithm, they were used for the approximation problems. The results obtained are very satisfactory with respect to the relative error.

关键词： Genetic algorithms Algorithm design and analysis Neural networks Artificial neural networks Biological cells Neurons Chaos Machine intelligence Laboratories Convergence

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Mental models and the abstraction hierarchy: Assessing ecological compatibility

Mental models and the abstraction hierarchy: Assessing ecolo...

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Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting

作者： St-Cyr, Olivier Burns, Catherine M. Advanced Interface Design Lab Dept. of Systems Design Engineering University of Waterloo Waterloo Ont. Canada

This paper presents a new approach to understanding mental models for complex industrial systems. Using the Abstraction Hierarchy (AH) framework as a way to describe mental models, we propose an approach to assess ecological compatibility between an operator's internal mental model and a model of the environment. In order to do so, we have combined and built upon the previous work of Rasmussen (1979) and Moray (1996). We believe that this new approach can assess ecological compatibility and ultimately provide the operator with a more accurate and complete internal mental model that reflects the reality of the environment. We argue that Ecological interface design (EID) is a way to link mental models and the environment. Future work will be needed in order to assess ecological compatibility. This includes capturing and examining operators' internal mental models, and comparing them with models of the environment.

关键词： Ergonomics

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Mental Models and the Abstraction Hierarchy: Assessing Ecological Compatibility

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2001年第4期45卷 297 - 301页

作者： Olivier St-Cyr Catherine M. Burns Advanced Interface Design Lab Department of Systems Design Engineering University of Waterloo Waterloo Ontario Canada

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Scenario mapping with work domain analysis

Scenario mapping with work domain analysis

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Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting

作者： Burns, Catherine M. Bryant, David J. Chalmers, Bruce A. Advanced Interface Design Lab Systems Design Engineering University of Waterloo Waterloo Ont. Canada Humansystems Incorporated Guelph Ont. Canada Naval Command and Control Def. Research Establishment Atlantic Dartmouth NS Canada

Work domain analysis is an approach that is moving from research to practical usage. Being highly analytical and time-intensive in its early stages, clients will search for early indications that the analysis is on track and relevant. This paper presents one approach for validating a work domain analysis by mapping the action patterns of operators against the work domain space developed by the analysis. This approach provides some validation the analysis, shows the use of the work domain over time in three dimensions, and provides a substantial link between the work analysis approach and traditional task-based approaches.

关键词： Ergonomics

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Scenario Mapping with Work Domain Analysis

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2001年第4期45卷 424 - 428页

作者： Catherine M. Burns David J. Bryant Bruce A. Chalmers Advanced Interface Design Lab Systems Design Engineering University of Waterloo Waterloo Ontario Canada Humansystems Incorporated Guelph Ontario Canada Naval Command and Control Defence Research Establishment Atlantic Dartmouth Nova Scotia Canada

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An adaptive training algorithm for an ensemble of networks

An adaptive training algorithm for an ensemble of networks

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International Joint Conference on Neural Networks (IJCNN)

作者： N. Wanas L. Hodge M. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada

ISBN: (纸本)0780370449

An ensemble of neural networks offers several advantages over classical single classifier systems when applied to complex pattern classification problems. However, the performance of the ensemble as a unit depends not only on the effective aggregation of the modules decisions, but also on the accuracy of the individual classification decisions of each module. The accuracy at the modular level is a result of the quality of training received by each module. This paper presents an adaptive training algorithm that can be used to direct the training of the individual modules so as to improve the classification accuracy and training efficiency of the ensemble.

关键词： Voting Neural networks Training data Pattern analysis Machine intelligence System analysis and design design engineering systems engineering and theory Pattern classification Crosstalk

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