The study of rockburst criterion is the key to predict occurrence rockburst. Based on energy principle, a new multi-parameter (RPC) were established. accuracy and applicability some typical engineering examples in China verified by using classical criteria newly proposed RPC. research results show that: RPC comprehensively considers various stress states surrounding rock mass unit, reflects int...

In the field of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of breast cancer, current research efforts in computer-aided diagnosis (CADx) are mainly focused on the temporal series of T1-weighted images acquired during uptake of a contrast agent, processing morphological and kinetic information. Although static T2weighted images are usually part of DCE-MRI protocols, they are ...

GEANT4 is a toolkit for simulating the passage of particles though matter, which contains a complete range of functionality including tracking, geometry, physics models, and hits. In this article, an attempt to use GEANT4 Monte Carlo code to watch a double-gap Resistive Plate Chamber's (RPC) response to neutrons is presented. The simulation calculations of the double-gap RPC have been evaluated...

The nucleus reticularis pontis oralis (RPO) and nucleus reticularis pontis caudalis (RPC) are implicated in the generation of rapid eye movement sleep (REM). Work in cats has indicated that GABA in RPO plays a role in the regulation of REM. We assessed REM after local microinjections into RPO and RPC of the GABAA agonist, muscimol (MUS), and the GABAA antagonist, bicuculline (BIC). Rats (90 day...

Using recycled wastes and industrial by-products in construction materials has become mandatory to conserve the natural resources manage waste-disposal environmental problems. This experimental work investigates workability strength properties of reactive powder concrete (RPC), utilizing slag finely ground waste as partial substitutes for cement quartz sand, respectively. The results slump flow...

The problem of model parameters estimation from data with a presence of outlier measurements often arises in computer vision and methods of robust estimation have to be used. The RANSAC algorithm introduced by Fishler and Bolles in 1981 is the a widely used robust estimator in the field of computer vision. The algorithm is capable of providing good estimates from data contaminated by large (eve...

We present a novel method for tracking multiple objects in video captured by a non-stationary camera. For low quality video, ransac estimation fails when the number of good matches shrinks below the minimum required to estimate the motion model. This paper extends ransac in the following ways: (a) Allowing multiple models of different complexity to be chosen at random; (b) Introducing a conditi...

Fisheye cameras are widely used in visual localization due to the advantage of wide field view. However, severe distortion fisheye images lead feature matching difficulties. This paper proposes an IMU-assisted image method called spherically optimized random sample consensus (So-RANSAC). We converted putative correspondences into spherical coordinates and then inertial measurement unit (IMU) pr...