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The effectiveness of the proposed MIST method has been validated by real robot experiments and compared with the performances of popular existing methods such as MHL and MCL, which shows that MIST has a definite robustness to sensor noises, the kidnapped robot problem, nonlinearity of the system, and symmetric environments, as well as a high convergence speed and computational efficiency.
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Finally, It concludes with the comparison analysis of cloud based framework and proposed SoA-Mist framework.
The present research paper proposed SoA-Mist i.e. a three-tier secure framework for efficient management of geospatial health data with the use of mist devices.
In the present paper, we proposed a secure mist Computing architecture that is validated on recently released public geospatial health dataset.
It proposed the security aspects in client layer, mist layer, fog layer and cloud layer.
Water mist fire suppression systems are proposed to suppress kitchen fires.
An innovative design of dust control system employing water mist technology with four nozzles was proposed and subsequently built for field implementation.
Figure1 shows mist removal results of current excellent methods[20, 21] and the proposed algorithm for visibility enhancement from a single degraded gray image, respectively.
Here we present a first realization of the MiST concept and its validation in quantitative flow measurements to demonstrate the feasibility of the proposed preparation concept.
In this paper, a new kind of wave-plate mist eliminator using open-celled porous silicon carbide foam layers as enhanced structure has been firstly proposed.
Wave-plate mist eliminator with porous foam layers as enhanced structures on vanes to improve separation efficiency for tiny droplets was proposed in this paper.
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