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Coarse localization of the sound sources.
In this work, we design and implement a lightweight localization system, called WhereAmI, that can perform coarse localization with low resource requirement.
For example, the authors of [6] considered time-of-arrival (TOA -based measuremenTOA -basedposed a heuristic solution consisting of the following three steps: Coarse localization of the sound sources.
Under this model, coarse localization is possible when attention is directed away from a target location.
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If no contours can be found, e.g., for a movement of dot patterns, we can simply rely on the motion discontinuities leading to a coarser localization as the spatial resolution of MSTlModel is less accurate than in V1Model/V2Model due to larger integration steps in the feedforward processing from V1Model to MTModel and MTModel to MSTlModel, respectively.
Based on existing approaches, we start our study from the standard random deployment of a sensor network and then we consider a coarse-grain localization algorithm that associates sensors with coordinates related to a central node, called the sink.
Algorithms for LDM-based human body pose recovery are then developed to estimate the LDM parameters from both manually labeled and automatically extracted silhouettes, where the automatic silhouette extraction is through a coarse-to-fine localization and extraction procedure.
Finally, as the localization provides coarse-grain coordinates, different sensors might be associated with the same coordinates.
This allows us to quickly find candidate detections for some parts at a coarse level, on which a localization of fine-grained pose and motion cues at double the resolution can be detected for other parts.
These investigations reveal that the presence of coarse martensite laths leads to early strain localization, especially when they are in the vicinity of untempered martensite islands.
Specifically, we use: The Gene Ontology (GO) [22], which has been widely used for annotating function and localization of genes at a coarse level in many organisms [23], [24], [25], [26], [27], and The pathways that regulate and execute the processes that one is interested in studying, as defined in KEGG [28] (one can also use MetaCYC [29]).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com