In recent years MR Angiography allowed to assess blood vessels and flow in a non-invasive way. The aim of our work was illunstrate modern technique, the 4D Iterative reconstruction Time resolved angiography With Interleaved Stochastic Trajectories (IT-TWIST), capable generate angiograms with high spatial temporal resolution, providing multiple continuous post-contrastographic sets images. Techn...

An efficient hardware implementation for Simultaneous Localization and Mapping (SLAM) methods is of necessity mobile autonomous robots with limited computational resources. In this paper, we propose a resource-efficient FPGA accelerating scan matching computations, which typically cause major bottleneck in 2D LiDAR SLAM methods. Scan process correcting robot pose by aligning the latest measurem...

Abstract This paper examines a number of extrapolation and acceleration methods introduces few modifications the standard Shanks transformation that deal with general sequences. One goals is to lay out framework encompasses most known strategies. The also considers Anderson Acceleration (AA) method under new light exploits connection quasi-Newton in order establish local linear convergence resu...

The formulation of strategies for high-order discretization methods for compressible flow simulations is now to a certain extent understood, whereas the development of techniques for efficiently solving the resulting discrete equations has generally been lagging behind. Needs and constraints change greatly from case to case. In order to achieve the best-practice combination of all the ingredien...

Most severe head injuries in judo are reported as acute subdural hematoma. It is thus necessary to examine the rotational acceleration of the head to clarify the mechanism of head injuries. We determined the rotational acceleration of the head when the subject is thrown by judo techniques. One Japanese male judo expert threw an anthropomorphic test device using two throwing techniques, Osoto-ga...

In this paper, we present FaceTrack, a system that detects, tracks, and groups faces from compressed video data. We introduce the face tracking framework based on the Kalman filter and multiple hypothesis techniques. We compare and discuss the effects of various motion models on tracking performance. Specifically, we investigate constant-velocity, constant-acceleration, correlated-acceleration,...