The issues surrounding the use of ambient vibration modes for the location of structural damage via dynamically measured flexibility are examined. Several methods for mass-normalizing the dynamic mode shapes extracted from ambient modal data are implemented and compared. The methods are applied to data from a series of ambient modal tests on an actual highway bridge. The results indicate that t...

To test for independence in evolution of paired circular genomes, including bacteria and archaea, we propose a bivariate distribution (BGVM) with generalized von Mises distributions. BGVM can model paired angular data with asymmetric or/and multi-modal marginals, which remain unexplored in the area. Some distributional properties, for instance shape parameters Correspondences should be addresse...

Despite many studies of audiovisual integration in speech perception very few studies have addressed the issue of crossmodal response bias. Using synthetic acoustic speech, the current study demonstrates the McGurk illusion in the oddity task which is not prone to cross-modal response bias. This new method may be an useful tool for determining under which conditions audiovisual integration of s...

In this paper, we propose a new eigenvector-based line feature matching algorithm, which is invariant to the in-plane rotation, translation, and scale. First, in order to reduce the number of possible matches, we use a preliminary correspondence test that generates a set of finite candidate models, by restricting combinations of line features in the input image. This approach resolves an inhere...

Traditionally, the estimation of modal parameters from a set of measured data has required significant experience. However, as the technology has matured, increasingly, analysis is being performed by less experienced engineers or technicians. To address this development, frequently software solutions are focusing upon either wizard-based or autonomous/semiautonomous approaches. A number of auto...

Multi-modal semantics, which aims to ground semantic representations in perception, has relied on feature norms or raw image data for perceptual input. In this paper we examine grounding semantic representations in raw auditory data, using standard evaluations for multi-modal semantics. After having shown the quality of such auditorily grounded representations, we show how they can be applied t...

Neural networks formulated in the maximum-likelihood framework and trained using the scaled<onjugate-gradient method are compared to the networks formulated in the Bayesian framework and trained using the hybrid Monte Carlo method. To make this comparison, vibration data from a population of 20 steel cylinders with various fault cases introduced are measured. To simulate faults, holes of IO-15 ...

Operational modal analysis deals with the estimation of modal parameters using vibration data obtained from unknown or ambient excitation sources in operational rather than laboratory conditions. The paper compares three operational modal parameter identification approaches for identifying modal parameters of a multi-span concrete motorway bridge when subjected to either ambient or broad-band l...

The development and expression of many higher level cognitive functions, such as imitation, spatial perception, and tool-use relies on a multi-modal representation of the body known as the body schema. Although many studies support the hypothesis that the body schema is adaptive and alterable throughout ontogenetic development, the mechanisms underlying its plasticity have yet to be clarified. ...

This paper reviews nine available transcription and annotation tools, considering in particular the special difficulties arising from transcribing and annotating multi-party, multi-modal dialogue. Tools are evaluated as to the ability to support the user’s annotation scheme, ability to visualize the form of the data, compatibility with other tools, flexibility of data representation, and genera...