Person re-identification is a key challenge for surveillance across multiple sensors. Prompted by the advent of powerful deep learning models visual recognition, and inexpensive RGB-D cameras sensor-rich mobile robotic platforms, e.g. self-driving vehicles, we investigate relatively unexplored problem cross-modal persons between RGB (color) depth images. The considerable divergence in data dist...

This research focuses on the time-domain identification of modal parameters using impact response excitation from signals with a relatively small dynamic range and high noise contamination (e.g., high-speed cameras). The information required to identify is limited contained mostly at beginning signal. In order perform an such response, following challenges have be overcome: good frequency-domai...

Smart composite structures have an enormous potential for industrial applications, in terms of mass reduction, high material resistance and flexibility. The correct characterization of these complex structures is essential for active vibration control or structural health monitoring applications. The identification process generally calls for the determination of a generalized electromechanical...

Modal parameters of power transformer winding are closely related to transformer manufacturing and detection technology of winding deformation based on vibration analysis method. Aimed at identifying the modal parameters of transformer winding accurately, a modal experiment is designed and made on a real 10 kV power transformer. An improved Empirical Mode Decomposition (EMD) algorithm is propos...

To perform a realistic reliability analysis of a complex cable-stayed steel footbridge subject to natural hazard and corrosion, this article addresses a rational process of modeling and simulation based on identification, model updating, and validation. In particular, the object of this study is the Ponte del Mare footbridge located in Pescara, Italy; this bridge was selected as being a complex...

The Complex Mode Indicator Function (or CMIF) is a popular spatial domain modal parameter estimation technique that utilizes the singular value decomposition of the frequency response function matrix for estimating the modal parameters of the system. Due to several advantages like identification of closely spaced modes, this technique is extremely popular for modal parameter estimation purposes...

In this paper we revisit the problem of the modal analysis of space launchers. We consider the Ariane 5 launcher with its usual equipment during a commercial flight under the natural unknown excitation. The case of space launchers is a typical example of a complex structure with sub-structures strongly and quickly varying in time. This issue becomes especially important in e.g. estimation of da...

Estimation of the modal parameters of mechanical systems or structures is usually achieved by applying the well-known Frequency Response Function (FRF) method to experimental data obtained from free vibration after a shock excitation of the system or forced vibration using a variety of excitation signals. This method is however limited only to linear systems. The problem becomes more complex wh...

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...