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Three determinant factors were proposed: (i) elevation, (ii) stand characteristics, and (iii) soil temperature and soil moisture.
To deal with the change of cable-conduit configurations during its operation, two control schemes are proposed: (i) an updated table with offline backlash hysteresis learning is constructed.
Considering the preparation of SiNWs, a two-step process can be proposed: (i) choosing under optical microscopy a suitable SiNW (diameter, direction, length, etc).
In order to test the aforementioned approaches, three different scenarios of the evaluation were proposed: i. Scenario 1. Murmur detection of PCG signals.
For extracting heat associated with the lower and upper surface of the solar cell, two channels have been proposed; (i) one is above the solar cell called upper channel and (ii) second is below the solar cell called lower channel.
Two hypotheses have been proposed, (i) internal mutation theory and (ii) circulating high virulent-low virulent theory.
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Thus, the proposed I-MSCKF method can improve the navigation performance when suffered from shocks at the initial stage.
In the proposed I-EPD, an IN can intelligently determine whether a buffered video packet should be early discarded.
Detailed error analyses and numerical examples are presented in the paper to illustrate the improved accuracy and efficiency of the proposed I-PCM method.
The effectiveness of proposed I-TLBO algorithm is tested on some benchmark functions and a combinatorial optimization problem of heat treating in foundry industry.
Finally, the experimental results show that the proposed I-MSCKF method can improve the robustness and accuracy for monocular visual inertial navigations.
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