Acoustic wave transducers act as cooperative targets for passive, wireless sensing by converting an incoming electromagnetic pulse to an acoustic wave whose velocity is dependent, by design, with a given quantity under investigation. The acoustic wave is delayed and emitted back to the measurement electronics as an electromagnetic pulse by direct piezoelectric effect. In the context of sub-surf...

Ground penetrating Radar (GPR) is an interesting device that can allow a non-destructive auscultation of the underground without any excavation. It is based on the use of high frequency electromagnetic waves, including reflection or diffraction that allows the detection of buried objects. In this work, we studied the possibility of using GPR for detecting of human targets under the rubble cause...

We present the hyperbola recognition problem in Ground Penetrating Radar – GPR – data as an example for pattern recognition in complex engineering sensor data. Traditionally, GPR data are analyzed manually by human experts in a tedious and time-consuming process, e.g., to deduce the positioning of linear object underneath roads just before reconstruction works take place. For supporting this pr...

The basal ganglia (BG) are a set of subcortical nuclei involved in action selection processes. We explore here the automatic parameterization of two models of the basal ganglia (the GPR and the CBG) using multi-objective evolutionary algorithms. We define two objective functions characterizing the supposed winner-takes-all functionality of the BG and obtain a set of solutions lying on the Paret...

In recent years, the ground penetrating radar (GPR) is increasingly used in the detection of riprap embankments. In order to analyze the costal embankment with explosive compaction, model experiments are conducted to investigate the influence of seawater on the signal and image of GPR, especially to figure out the image variation of riprap bottom boundary. The influence of immersion of seawater...

This paper proposes the application of Gaussian process regression (GPR) as an alternative regression model to resolve the hard overlapped electrochemical signals belonging to the 2,4,6trichlorophenol/2,6-dichlorophenol (TCP/DCP) system. Gaussian process derives from the perspective of Bayesian non-parametric regression methods, in terms of the parameterization of the covariance function, resul...

State of health (SOH) estimation plays a significant role in battery prognostics. It is used as a qualitative measure of the capability of a lithium-ion battery to store and deliver energy in a system. At present, many algorithms have been applied to perform prognostics for SOH estimation, especially data-driven prognostics algorithms supporting uncertainty representation and management. To des...

For many applications in robotics, accurate dynamics models are essential. However, in some applications, e.g., in model-based tracking control, precise dynamics models cannot be obtained analytically for sufficiently complex robot systems. In such cases, machine learning offers a promising alternative for approximating the robot dynamics using measured data. However, standard regression method...

This paper describes the development of new air-coupled ultrawideband ground-penetrating radar (GPR) for highway pavement and bridge deck inspections that can achieve high spatial resolution and high inspection performance while operating on vehicles driving at regular highway speeds. Themajor design features include dual-frequency band operation, 8 gigasamples per second high-speed real-time d...

Reflection amplitude at top rebar layer has been used as a main criterion for evaluating attenuation of ground-penetrating radar (GPR) data from concrete bridge decks. However, a recent study has pointed out the limitation of this practice. Motivated by that same research, the current paper presents a robust method for performing GPR attenuation analysis. Also based on correlation between A-sca...