10,636 research outputs found
Closed circuit TV system automatically guides welding arc
Closed circuit television /CCTV/ system automatically guides a welding torch to position the welding arc accurately along weld seams. Digital counting and logic techniques incorporated in the control circuitry, ensure performance reliability
A filter spectrometer concept for facsimile cameras
A concept which utilizes interference filters and photodetector arrays to integrate spectrometry with the basic imagery function of a facsimile camera is described and analyzed. The analysis considers spectral resolution, instantaneous field of view, spectral range, and signal-to-noise ratio. Specific performance predictions for the Martian environment, the Viking facsimile camera design parameters, and a signal-to-noise ratio for each spectral band equal to or greater than 256 indicate the feasibility of obtaining a spectral resolution of 0.01 micrometers with an instantaneous field of view of about 0.1 deg in the 0.425 micrometers to 1.025 micrometers range using silicon photodetectors. A spectral resolution of 0.05 micrometers with an instantaneous field of view of about 0.6 deg in the 1.0 to 2.7 micrometers range using lead sulfide photodetectors is also feasible
Automatic closed circuit television arc guidance control Patent
Automatic closed circuit television arc guidance control for welding joint
Open source Matrix Product States: Opening ways to simulate entangled many-body quantum systems in one dimension
Numerical simulations are a powerful tool to study quantum systems beyond
exactly solvable systems lacking an analytic expression. For one-dimensional
entangled quantum systems, tensor network methods, amongst them Matrix Product
States (MPSs), have attracted interest from different fields of quantum physics
ranging from solid state systems to quantum simulators and quantum computing.
Our open source MPS code provides the community with a toolset to analyze the
statics and dynamics of one-dimensional quantum systems. Here, we present our
open source library, Open Source Matrix Product States (OSMPS), of MPS methods
implemented in Python and Fortran2003. The library includes tools for ground
state calculation and excited states via the variational ansatz. We also
support ground states for infinite systems with translational invariance.
Dynamics are simulated with different algorithms, including three algorithms
with support for long-range interactions. Convenient features include built-in
support for fermionic systems and number conservation with rotational
and discrete symmetries for finite systems, as
well as data parallelism with MPI. We explain the principles and techniques
used in this library along with examples of how to efficiently use the general
interfaces to analyze the Ising and Bose-Hubbard models. This description
includes the preparation of simulations as well as dispatching and
post-processing of them
Effectiveness of slow motion video compared to real time video in improving the accuracy and consistency of subjective gait analysis in dogs
Objective measures of canine gait quality via force plates, pressure mats or kinematic analysis are considered superior to subjective gait assessment (SGA). Despite research demonstrating that SGA does not accurately detect subtle lameness, it remains the most commonly performed diagnostic test for detecting lameness in dogs. This is largely because the financial, temporal and spatial requirements for existing objective gait analysis equipment makes this technology impractical for
use in general practice. The utility of slow motion video as a potential tool to augment SGA is currently untested. To evaluate a more accessible way to overcome the limitations of SGA, a slow motion video study was undertaken. Three experienced veterinarians reviewed video footage of 30 dogs, 15 with a diagnosis of primary limb lameness based on history and physical examination, and 15 with no indication of limb lameness based on history and physical examination. Four different videos were made for each dog, demonstrating each dog walking and trotting in real time, and then again walking and trotting in 50% slow motion. For each video, the veterinary raters assessed both the degree of lameness, and which limb(s) they felt represented the source of the lameness. Spearman’s rho, Cramer’s V, and t-tests were performed to determine if slow motion video increased either the accuracy or consistency of raters’ SGA relative to real time video. Raters demonstrated no significant increase in consistency or accuracy in their SGA of slow motion video relative to real time video. Based on these findings, slow motion video does not increase the consistency or accuracy of SGA values. Further research is required to determine if slow motion video will benefit SGA in other ways
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