As Ground Penetrating Radar (GPR) is increasingly employed for assessing the condition of bridge decks, quantifying and controlling the quality of GPR data becomes an important challenge. This paper uses a methodology to assess the accuracy of deck condition measures, and demonstrates the methodology in a case study involving real data. The latter are generated during GPR applications on a larg...

Expression of a cAMP-specific phosphodiesterase in GnRH neurons in the GPR-4 transgenic rat resulted in decreased LH levels and pulse frequency and diminished fertility. We have characterized changes in fertility, adiposity, and reproductive and metabolic hormones with age. Although LH levels were decreased in 3-, 6-, and 9-month-old GPR-4 females relative to wild-type (WT) controls, GPR-4 fema...

The G protein regulatory (GPR) motif is a approximately 20-residue conserved domain that acts as a guanine dissociation inhibitor (GDI) for G(i/o)(alpha) subunits. Here, we describe the isolation of peptides derived from a GPR consensus sequence using mRNA display selection libraries. Biotinylated G(i)(alpha)(1), modified at either the N or C terminus, serves as a high-affinity binding target f...

This paper focuses on new signal processing algorithms customized for an air coupled Ultra-Wideband (UWB) Ground Penetrating Radar (GPR) system targeting highway pavements and bridge deck inspections. The GPR hardware consists of a high-voltage pulse generator, a high speed 8 GSps real time data acquisition unit, and a customized field-programmable gate array (FPGA) control element. In comparis...

Ground Penetrating Radar (GPR) is a shallow geophysical method for detecting and locating subsurface targets. The GPR image echo characteristics of complex underground structures can be obtained by carrying out forward modeling research. traditional finite-difference time-domain (FDTD) has low efficiency accuracy. alternating direction implicit FDTD (ADI-FDTD) algorithm surmounts the stability ...

A GPR survey was carried out in advance of archaeological excavations at Madjedbebe (formerly known as Malakunanja II), a sandstone rock shelter in western Arnhem Land (Australia) containing numerous Aboriginal burials. GPR revealed subsurface patterning of rocks in the shelter deposits and archaeological excavation demonstrated that these were related to burials. Post-excavation, GIS and stati...

Gaussian process regression (GPR) is a popular tool for nonlinear function approximation. Unfortunately, GPR can be difficult to use in practice due to the O(n) memory and O(n) processing requirements for n training data points. We propose a novel approach to scaling up GPR to handle large datasets using the recent concept of doubly stochastic functional gradients. Our approach relies on the fa...

This paper proposes a probabilistic conic mixture model based on a classification expectation maximization algorithm and applies this algorithm to Ground Penetrating Radar (GPR) spatial data interpretation. Previous work tackling this problem using Hough transform or neural networks for identifying GPR hyperbolae are unsuitable for on-site applications owing to their computational demands and t...

a r t i c l e i n f o At the Late Bronze Age site of Kalavasos-Ayios Dhimitrios in southern Cyprus, the subterranean remains of previously unknown buildings were recently discovered and mapped with ground-penetrating radar (GPR). Though the fine-grained calcareous substrate at the site was not necessarily ideal for GPR—exhibiting a high clay fraction, significant volumetric water content, and s...