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This paper presents an integrated approach for remote real-time monitoring of manufacturing operations.
Secondly, an example of natural hazards management illustrates the efficiency of our approach for remote collaboration that involves big data exchange and analysis between distant locations.
The proposed methodology includes an observation-based, "bottom-up" engineering approach for remote sensing applications and gives a practical example of semantic mediation of geospatial products.
The new approach for remote experimentation incorporates software that uses the powerful computational engine of MATLAB/SIMULINK together with the Quanser's WinCon real-time system to perform the experiments.
Cheng et al. (2000a, b) developed an anisotropic spatial modeling approach for remote sensing image rectification.
This observation strongly suggests the necessity of the MQ approach for remote homology detection, where the BRS alone collects fewer homologues.
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Mixed reality approaches for remote coordination for human-robot teams are investigated.
Classical approaches for remote visualization and collaboration used in Computer-Aided Design and Engineering (CAD/E) applications are no longer appropriate due to the increasing amount of data generated, especially using standard networks.
Instead, using well-established approaches for remote sensing based mapping of locust habitats using single-date (Sivanpillai and others 2006; Ma and others 2005) or multitemporal data (Sivanpillai & Latchininsky 2007), the present study strived to make a contribution to current literature through the introduction and testing of a novel monitoring technique.
The objective of this study is to explore an approach for combining remote sensing and spatial metrics to monitor urbanization, and investigate the relationship between urbanization and urban land use plans.
In this paper, an integrated approach is proposed for remote manipulation of the reconfigurable parallel kinematic machine (RPKM) based on sensor-driven Wise-ShopFloor framework.
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