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The algorithm was implemented on two different voice coil-based positioning systems: one already presented in the literature recently[5] and one completely new, trying to get optimum speed and performance of the presented approach.
The reconstruction algorithm was implemented on each robot.
The algorithm was implemented on alkylation of benzene process plant.
The ECG algorithm was implemented on a TI MSP430-based platform and the ECoG algorithm was implemented on a Cortex-M3 based ultra-low power device.
Based on these features, a learning noise control algorithm was implemented on an experimental hearing aid.
Our proposed algorithm was implemented on HTC One X smartphone running Android OS 4.1.
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This algorithm is implemented on two robot systems: one with a fixed base and another with a mobile base.
The proposed algorithm is implemented on two simulation scenarios, one of them involving global knowledge of the environment, and the other based on local knowledge of the environment.
The proposed algorithm is implemented on Xilinx XC2V3000-6FG676 FPGandand the architecture of hardware implementation is shown in Figure 8.
The proposed algorithm is implemented on an FPGA platform.
The ORPHSN algorithm is implemented on BHSCCS [2, 26].
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CEO of Professional Science Editing for Scientists @ prosciediting.com