Computational

We propose a multi-agent educational system to support programming learning with program visualizations. Current program visualization tools lack sensitivity to learners' growth of expertise and other important contextual factors influencing the learning process. Combining an agent-based intelligent system with a program visualization environment is a potential solution to the problem. We propose the architecture of such a system and discuss its potentials and drawbacks

Sets of atom equivalents have been developed which permit the estimation of heats of formation, AH0f2Yg), from ab initio total energies (3-21G and 6-31G* basis sets). This extends the isodesmic reaction scheme of Pople and the group equivalents of Wiberg. A variety of ...

Over the last decade, as a number of industrialised countries1 have gone over to the use of explicit inflation targets, there has been a resurgence of interest in the use of feedback rules to characterise monetary policy. In this paper we consider how the type of rule suggested by the methods of optimal control can be derived when the model we have of an economy is non-linear and the model contains forward-looking expectations. Although the literature in this area is voluminous, there is still considerable interest in seeking computational ...

We present the four key areas of research—preprocessing, the volume conductor, the forward problem, and the inverse problem—that affect the performance of EEG and MEG source imaging. In each key area we identify prominent approaches and methodologies that have open issues warranting further investigation within the community, challenges associated with certain techniques, and algorithms necessitating clarification of their implications. More than providing definitive answers we aim to identify important open issues in the quest of source localization.

Finding information from manufacturing quality information to support product design decisions is necessary for improving design quality. Based on the review of group technology and quality bill of material, the classification and coding of manufacturing quality information is proposed in which combines the manufacturing quality information families with part families. Then the application of classified and coded manufacturing quality information

Online-monitoring systems in intensive care are affected by a high rate of false threshold alarms. These are caused by irrelevant noise and outliers in the measured time series data. The high false alarm rates can be lowered by separating relevant signals from noise and outliers online, in such a way that signal estimations, instead of raw measurements, are compared to the alarm limits. This paper presents a clinical validation study for two recently developed online signal filters. The filters are based on robust repeated median regression in moving windows of varying width. Validation is done offline using a large annotated reference database. The performance criteria are sensitivity and the proportion of false alarms suppressed by the signal filters.

J. Cabestany, A. Prieto, and DF Sandoval (Eds.): IWANN 2005, LNCS 3512, pp. 289 –296, 2005. © Springer-Verlag Berlin Heidelberg 2005 ... Approximating I/O Data Using Radial Basis Functions: ... Mohammed Awad, Héctor Pomares, Luis Javier Herrera, Jesús González, ...

Abstract A smoothed particle hydrodynamics (SPH) numerical model for shallow water equations (SWEs) is presented for simulating flood inundation owing to rapidly varying flow, such as dam breaks, tsunamis, and levee breaches. Important theoretical and numerical developments have recently been made, and the model in this paper incorporates these developments and implements open boundary conditions, resulting in a general, accurate computational tool suitable for practical application. The method is attractive for flood ...

This chapter describes a combined genetic computation approach for estimating time-varying Origin-Destination (OD) trip demand matrices from traffic counts in urban networks. The estimation procedure combines a microscopic model simulating traffic flow conditions with a genetic algorithm to synthesize the network OD trip matrix, through determining the turning flow proportions at each intersection. The proposed approach avoids the restrictions involved in employing a user-optimal Dynamic Traffic Assignment (DTA) procedure and ...

Journal of Computational Interdisciplinary Sciences (2009) 1(2): 113-117 © 2009 Pan-American Association of Computational Interdisciplinary Sciences ISSN 1983-8409 http://epacis.org ... A numerical study for non-stationary anomalous diffusion considering

highlight the fact that many micro-flows that have been considered are simple planar flows and typical classification systems are defined on such flows. We show that for complex flows, such as the driven cavity, non-equilibrium effects are more appreciable and their onset occurs at lower Knudsen numbers than expected.

Sleep spindles are bursts of sleep electroencephalogram (EEG) quasirhythmic activity within the frequency band of 11–16 Hz, characterized by progressively increasing, then gradually decreasing amplitude. The purpose of the present study was to process sleep spindles with Independent Component Analysis (ICA) in order to investigate the possibility of extracting, through visual analysis of the spindle EEG and visual selection of Independent Components (ICs), spindle “components” (SCs) corresponding to separate EEG activity patterns during a spindle, and to investigate the intracranial current sources underlying these SCs. Current source analysis using Low-Resolution Brain Electromagnetic Tomography (LORETA) was applied to the original and the ICA-reconstructed EEGs. Results indicated that SCs can be extracted by reconstructing the EEG through back-projection of separate groups of ICs, based on a temporal and spectral analysis of ICs. The intracranial current sources related to the SCs...

An efficient health monitoring system for damage detection in civil engineering structures using on-line monitoring data is being developed to identify any possible damage in short time. The present work is based on the treatment of uncertainties, which is one of the basic common difficulties faced when modelling structures. A methodology, based on interval analysis (IA) theory [RE Moore, Interval Analysis, Prentice-Hall, Englewood Cliffs, NJ, 1966] applied to a numerical constraint satisfaction problem (CSP)[JR Casas, JC Matos, JA ...

A quasi-three-dimensional finite-volume numerical simulator was developed to study passive voltage spread in vestibular macular afferents. The method, borrowed from computational fluid dynamics, discretizes events transpiring in small volumes over time. The afferent simulated had three calyces with processes. The number of processes and synapses, and direction and timing of synapse activation, were varied. Simultaneous synapse activation resulted in shortest latency, while directional activation (proximal to distal and distal to proximal) yielded most regular discharges. Color-coded visualizations showed that the simulator discretized events and demonstrated that discharge produced a distal spread of voltage from the spike initiator into the ending. The simulations indicate that directional input, morphology, and timing of synapse activation can affect discharge properties, as must also distal spread of voltage from the spike initiator. The finite volume method has generality and ca...

Page 1. Expected likelihood estimation: Asymptotic properties for "stochastic" complex Gaussian models Yuri I. Abramovicht, Ben A. Johnson*, t ISR Division, Defence Science & Technology Organisation (DSTO), PO Box 1500, Edinburgh SA 5111, Australia; * RLM Pty. Ltd. ...