In this study, the structural performance of the gravity-type caisson structure is assessed from vibration-based system identification. To achieve the objective, the following approaches are implemented. Firstly, a structural identification algorithm based on the use of vibration characteristics is outlined. Structural stiffness and damping are selected as two key parameters to be identified fo...

For civil structures, structural damage due to severe loading events such as earthquakes, or due to long-term environmental degradation, usually occurs in localized areas of a structure. A new sparse Bayesian probabilistic framework for computing the probability of localized stiffness reductions induced by damage is presented that uses noisy incomplete modal data from before and after possible ...

The quality of low frequency audio reproduction in small spaces has always been problematic. For some time, methods have been suggested in order to optimise this reproduction. Many such methods have been based upon objective metrics which remain unproven from a subjective perspective. Whilst perception has been studied, this thesis identifies a research gap for more thorough testing. A series o...

AbstrAct: The Operational Modal Analysis technique is a methodology very often applied for the identification of dynamic systems when the input signal is unknown. The applied methodology is based on a technique to estimate the Frequency Response Functions and extract the modal parameters using only the structural dynamic response data, without assuming the knowledge of the excitation forces. Su...

Modal synthesis is an important area of physical modeling whose exploration in the past has been held back by a large number of control parameters, the scarcity of generalpurpose design tools and the difficulty of obtaining the computational power required for real-time synthesis. This paper presents an overview of a flexible software framework facilitating the design and control of instruments...

Operational Modal Analysis (OMA) is a technique of extracting modal parameters of a system from output responses only. It is an emerging field in structural dynamics and has been applied to complex structures that are often difficult to analyze using traditional Experimental Modal Analysis (EMA) techniques. Since the input information is unavailable in OMA, the technique makes use of certain as...

TALKING HEAD SEQUENCES Ram R. Rao Georgia Institute of Technology Atlanta, GA 30332 [email protected] Tsuhan Chen AT&T Bell Laboratories Holmdel, NJ 07733 [email protected] ABSTRACT In this paper, we present a novel means for predicting the shape of a person's mouth from the corresponding speech signal and explore applications of this prediction to video coding. One possible application...

We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this problem which first uses a regression framework to estimate the image PDF, and then mean-shift to find the modes of this PDF. The segmentation follows from mode identification wherein pixel clusters or image segments are ...

We study the computational complexity of model checking EF logic and modal logic on parametric one-counter automata (POCA). A POCA is a onecounter automaton whose counter updates are either integer values encoded in binary or integer-valued parameters. Given a formula and a configuration of a POCA, the model-checking problem asks whether the formula is true in this configuration for all possibl...