R.ADITHYA ABSTRACT In this paper an ultra low power and probabilistic based noise tolerant latch is proposed based on Markov Random Field (MRF) theory. The absorption laws and H tree logic combination techniques are used to reduce the circuit complexity of MRF noise tolerant latch. The cross coupled latching mechanism is used at the output of the MRF latch inorder to preserve the noise tolerant...

Traditional ground-penetrating radar (GPR) data inversion leverages iterative algorithms that suffer from high computation costs and low accuracy when applied to complex subsurface scenarios. Existing deep learning-based methods focus on the ideal homogeneous environments ignore interference due clutters noise in real-world heterogeneous environments. To address these issues, a two-stage neural...

PURPOSE Whole-brain high-resolution quantitative imaging is extremely encoding intensive, and its rapid and robust acquisition remains a challenge. Here we present a 3D MR fingerprinting (MRF) acquisition with a hybrid sliding-window (SW) and GRAPPA reconstruction strategy to obtain high-resolution T1, T2 and proton density (PD) maps with whole brain coverage in a clinically feasible timeframe....

Effects of microinjections of a single 2 or 10 nmol dose of N-methyl-D-aspartate (NMDA) into the unilateral mesencephalic reticular formation (MRF) on behavior and electroencephalogram were examined in rats (n=18) during a 15 min period (Exp. 1), and subsequent effects of sound stimulation with key jingling applied at 15, 30, and 45 min after the injections were observed (Exp. 2). The microinje...

A classification scheme incorporating spectral, textural, and contextual information is detailed in this paper. The gray level co-occurrence matrix (GLCM) is calculated to generate texture features. Those features are then subjected to a selection process for joining with spectral data in order to evaluate their discrimination capability in classification performance. The classification result ...

Dynamically changing urban areas require periodic automatic monitoring, but urban areas include various objects and different objects show diverse appearances. This makes it difficult to effectively detect urban areas. A region-growing method using the Markov random field (MRF) model is proposed for urban detection. It consists of three modules. First, it provides an automatic urban seed object...

Electrophysiological recordings were used to investigate the degree of pelvic/visceral convergent inputs onto single medullary reticular formation (MRF) neurons. A total of 94 MRF neurons responsive to bilateral electrical stimulation of the pelvic nerve (PN) in 12 urethane-anaesthetized male rats were tested for responses to mechanical stimulation of the urinary bladder, urethra, colon and pen...

Fused silica is an optical material with excellent performance, and it widely used in the fabrication of optics various high-power laser systems. With gradual improvement systems, quality becomes crucial. Taking magnetorheological finishing (MRF), ion beam sputtering etching (IBSE), advanced mitigation processing (AMP) as means, this work focuses on exploring damage characteristics evolution fu...

Multichannel Gabor filters (MGFs) and Markov random fields (MRFs) are two common methods for texture classification. However, the two above methods make the implicit assumption that textures are acquired in the same viewpoint, which is unsuitable for rotation-invariant texture classification. In this paper, rotation-invariant (RI) texture features are developed based on MGF and MRF. A novel alg...

Background MRI T2* measurement is playing an important role in liver iron quantification. There are currently two clinical approaches measuring T2* in the region of interest ( ROI): the first is to fit the means of signals in the ROI (mean-ROI fitting, MRF) and the second to average the pixel-wisely fitted (PWF) T2*s in the ROI. In a recent study, Marro et al [1] compared the performances of PW...