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In qualitative research, it is well established that context can shape methodology (Townsend, Loudoun & Lewin, 2016).
When optimizing the shape superposition between a conformer pair, the OpenEye OEShape C++ toolkit is used via the OEBestOverlay object, with the parameters OEOverlapRadii::All and OEOverlapMethod::Analytic. Any other shape or feature computation utilizes in-house implementations using the Grant and Pickup [9] Gaussian-based shape methodology.
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Using an H∞ loop-shaping methodology, a robust stabilization torque controller is achieved.
The geometry based energy shaping methodology forms the fully constructive procedure for control of underactuated mechanical systems.
This aim is achieved by using energy-shaping methodology with a suitable Hamiltonian function which defines the desired system behavior.
Electrophoretic Deposition (EPD) is a shaping methodology which allows achieving high degrees in nanoplatelets packing by controlling their alignment during the coating process specifically over 3D substrates.
A set of H∞ controllers was synthesized by a loop shaping methodology at various values of the plasma electron temperature on the magnetic axis.
The control design is focused on the presentation of a new energy-shaping methodology for tracking control based on the introduction of virtual non-homogeneous fields where a desired energy is defined to compensate for the actual energy of the robot manipulator while a virtual field forces the system to track a general reference trajectory.
To meet this requirement, below we adopted a spectral shaping methodology as suggested in [ 44] to shape the spectrograms captured by two individual spectrometers so that they gave the identical imaging performance.
In addition, the developed SHTB is based on a simple and modular design and allows for a wide range of pulse shaping methodologies to be applied.
A shape optimization methodology for testing specimen design based on extensive finite element computations is presented.
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