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The coverage depth track shows the extent of redundancy in coverage at any nucleotide location; for this gene, peak coverage is at approximately 12 reads in any single location.
A "seed development coverage depth" track shows locations and counts of uniquely mapped HTTS reads, and a "seed development transcript count" track shows a colored histogram of relative read accumulation counts in each of the eight libraries in this study: A1 to A4 correspond to LoPro stages one to four, and B1 to B4 correspond to HiPro stages one to four.
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This paper addresses the problem of simultaneous depth tracking and attitude control of an underwater towed vehicle.
A nonlinear, Lyapunov-based, adaptive output feedback control law is designed and shown to regulate pitch, yaw, and depth tracking errors to zero.
The system holds promise for application in oceanographic missions that require depth tracking or bottom-following combined with precise vehicle attitude control.
This paper addresses the problem of simultaneous depth tracking and precise attitude control of an underwater towed vehicle integrated in a two-stage towing arrangement.
A nonlinear Lyapunov-based output feedback controller is designed to operate in the presence of plant parameter uncertainty and proven to regulate pitch, yaw, and depth tracking errors to zero.
For the vehicle in the presence of disturbance input and parameter uncertainties, it is shown that in the closed-loop system with σ-modification, the pitch angle and depth tracking errors are uniformly ultimately bounded.
Using the center manifold theorem, it is shown that in the closed-loop system, the system trajectories are regulated to a manifold (called output zeroing manifold) on which the depth tracking error is zero and the equilibrium state is asymptotically stable.
In addition it said the chips were designed to better support "perceptual" tasks such as voice recognition, facial analysis and depth tracking.
With augmented reality coming in hot and depth tracking cameras due to arrive on flagship phones, the time is right to improve how computers track the motions of people they see — even if that means virtually stripping them of their clothes.
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