166 research outputs found
Techniques to Enhance the Quality of Service of Multi Hop Relay Networks
AbstractBroadband internet access through the user equipment has become the hot research topic. The shadowing and multipath issues restrict the high performance nature of 4G cells. In Multi hop Relay (MHR) networks, Relay Stations (RS) are introduced to improve coverage and capacity of the system. There exist some issues like path selection and RSs deployment, which severely affects the Quality of Service (QoS) of the system. In this paper, to improve the QoS of MHR networks, Load Aware Routing Metric (LARM) based path selection and a low complex Burst Profile (BP) based RS deployment schemes are discussed
Gapped Excitations in the High-Pressure Antiferromagnetic Phase of URuSi
We report a neutron scattering study of the magnetic excitation spectrum in
each of the three temperature and pressure driven phases of URuSi. We
find qualitatively similar excitations throughout the (H0L) scattering plane in
the hidden order and large moment phases, with no changes in the
-widths of the excitations at the = (1.407,0,0) and =
(1,0,0) points, within our experimental resolution. There is, however, an
increase in the gap at the point from 4.2(2) meV to 5.5(3) meV,
consistent with other indicators of enhanced antiferromagnetism under pressure.Comment: 5 pages, 3 figures, 1 tabl
Relative Pose from Deep Learned Depth and a Single Affine Correspondence
We propose a new approach for combining deep-learned non-metric monocular
depth with affine correspondences (ACs) to estimate the relative pose of two
calibrated cameras from a single correspondence. Considering the depth
information and affine features, two new constraints on the camera pose are
derived. The proposed solver is usable within 1-point RANSAC approaches. Thus,
the processing time of the robust estimation is linear in the number of
correspondences and, therefore, orders of magnitude faster than by using
traditional approaches. The proposed 1AC+D solver is tested both on synthetic
data and on 110395 publicly available real image pairs where we used an
off-the-shelf monocular depth network to provide up-to-scale depth per pixel.
The proposed 1AC+D leads to similar accuracy as traditional approaches while
being significantly faster. When solving large-scale problems, e.g., pose-graph
initialization for Structure-from-Motion (SfM) pipelines, the overhead of
obtaining ACs and monocular depth is negligible compared to the speed-up gained
in the pairwise geometric verification, i.e., relative pose estimation. This is
demonstrated on scenes from the 1DSfM dataset using a state-of-the-art global
SfM algorithm. Source code: https://github.com/eivan/one-ac-pos
Venus - Preliminary science objectives and experiments for use in advanced mission studies
Mission planning and experiment design for future Mariner-type Venus space probe
Dehydration in the tropical tropopause layer: Implications from the UARS Microwave Limb Sounder
Radio Astronomy
Contains reports on five research projects.National Aeronautics and Space Administration (Grant NGL 22-009-016)National Aeronautics and Space Administration (Grant NGL 22-009-421)National Science Foundation (Grant GP-13056)California Institute of Technology Contract 95256
Survivors of the war in the Northern Kosovo: violence exposure, risk factors and public health effects of an ethnic conflict
The UARS Microwave Limb Sounder version 5 data set: Theory, characterization, and validation
- …