ground penetrating radar (gpr) is one of high resolution geophysical methods for locating missed objects, buried equipments. gpr is a nondestructive testing method that is useful in various kinds of explorations such as mapping the archaeological sites. the safety of the archaeological sites is one of the most concerns of the archaeologists. one of the best gpr applications is in archaeology as...

Dating back to as far as 1940, the US road and bridge infrastructure system has garnered quite the status for strategically connecting together half a continent. As monumental as the infrastructure’s status, is its rate of deterioration, with the average bridge age coming at a disconcerting 50 years. Aside from visual inspection, a battery of non-destructive tests were developed to conduct stru...

Neuronal circuits commonly receive simultaneous inputs from descending, ascending, and hormonal systems. Thus far, however, most such inputs have been studied individually to determine their influence on a given circuit. Here, we examine the integrated action of the hormone crustacean cardioactive peptide (CCAP) and the gastropyloric receptor (GPR) proprioceptor neuron on the biphasic gastric m...

The aim of Chapter 2 is to give an overview of the GPR basic principles and technology. A lot of definitions and often-used terms that will be used throughout the whole work will be explained here. Readers who are familiar with GPR and the demining application can skip parts of this chapter. Section 2.2.4 however can be interesting since a description of the hardware and the design parameters o...

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...

This paper proposes a statistical nonparametric speech synthesis technique based on a sparse Gaussian process regression (GPR). In our previous study, we proposed GPR-based speech synthesis where each frame of synthesis units is modeled by a regression of Gaussian processes. Preliminary experiments of synthesizing several phones including both vowels and consonants showed a potential of the tec...

Gaussian Process Regression (GPR) is a powerful Bayesian method. However, the performance of GPR can be significantly degraded when the training data are contaminated by outliers, including target outliers and input outliers. Although there are some variants of GPR (e.g., GPR with Student-t likelihood (GPRT)) aiming to handle outliers, most of the variants focus on handling the target outliers ...

MIMO array can obtain much more equivalent elements by using a small number of transmitters and receivers. However, according to traditional sampling theorem, a certain number of transmitters and receivers are still needed to obtain a dense equivalent array. Since the interesting targets of ground penetrating radar (GPR) are usually sparse, this paper presents a spare MIMO array GPR imaging sch...

Due to the varying terrain conditions in outdoor scenarios the kinematics of mobile robots is much more complex compared to indoor environments. In this paper we present an approach to predict future positions of mobile robots which considers the current terrain. Our approach uses Gaussian process regression (GPR) models to estimate future robot positions. An unscented Kalman filter (UKF) is us...