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The sensory feedback was achieved through the application of distinct electric signatures in the conversion from synthetic hand sensory information to nerve stimulation.
Real-time audio feedback was achieved by instantaneous computer speech synthesis of predicted formant frequencies from the Kalman filter.
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Kinesthetic feedback is achieved by closing bi-directional control loops between the operator and teleoperator site.
This results in extra (or buoyancy) terms for the momentum equations, through which a two-way moist-physics dynamics feedback is achieved.
The near-real-time feedback system was achieved by integrating the following primary functions: (1) imaging of the moving organ temperature; (2) on-line needle tip tracking; (3) automatic turn-on/off the heating devices; (4) a Windows operating system-based novel user-interfaces.
During the previous experimentation, the lack of the fast feedback component was achieved by increasing R1 in the range of several tenths of mega ohms (MΩ) and decreasing C in the range of picofarads (pF).
Required dynamic range with a limited feedback can be achieved by nonlinear quantization of feedback signaling [26] and variable step (VS) algorithms [27 30].
In the interference-limited or high-SNR regime, the throughput of PU2RC with B ε = ⌈ log 2 G E N ⌉ feedback bits is achieved by TN-SDMA with B N feedback bits, where B N = N N − 1 B ε + 1 N − 1 log 2 K − c. (30).
The design of the feedback controller is achieved through the symbolic computation of fundamental solution matrix of linear time-periodic systems in terms of unknown control gains.
To study the mechanism of this process on chemical incidents, three causality feedback loops were achieved by analyzing previous studies on this mental process; meanwhile, system dynamics models were constructed.
Multi-state feedback control is achieved by a suitable linear combination of several states.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com