sensing


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sensing

[′sens·iŋ]
(navigation)
The process of eliminating ambiguity in direction-finder bearings.
(ordnance)
The direction of a point of burst or impact, or centers of burst or impact with respect to the target, such as over, short, air, or graze.
References in periodicals archive ?
Considering the significant traction, the market is garnering currently, Market Research Future (MRFR) in its recently published study analysis asserts that the global Depth Sensing market is poised to reach the valuation of USD 7.43 BN by 2023, registering 11.64% CAGR throughout the forecast period (2017 - 2023).
Depth sensing process involves measuring the distance of an object with the help of a depth sensor.
Another important spectrum sensing design issue involves determining how many channels to go through in each sensing.
Reliability of CR spectrum sensing refers to the ability of the CR on minimizing interferences in the spectrum access, where spectrum sensing serves this purpose in gaining channel status before accessing the channel.
Then mobile users should be given incentives to carry out spectrum sensing. With a limited budget, FC may choose a subset of whole mobile users to carry out spectrum sensing.
This study with multi-source remote sensing image as data source, based on the texture of the land use classification, first of all, the remote sensing image preprocessing, to convert the image as the feature vector information, texture feature library is established to achieve the fusion of multi-source remote sensing data.
"Sensing and Bio-Sensing Research aims to expose and promote new and novel sensing and biosensing technologies to the wider research community and exploitation partners."
Demand sensing technology has already been adopted by companies that are recognized as having the most progressively managed supply chains.
In this paper, we provide a more in depth and complete analysis of our BSS-based spectrum sensing compared to our initial contribution [13] that was only based on the ICA algorithm.
In this paper, we have proposed a new sensing channel model that considers combined impact of shadowing fading and multipath effects.
"Remote sensing can provide information that is useful for many crop management decisions, including the detection of nutrient deficiencies, excesses or deficiencies of soil water, damage caused by insects, weeds, or diseases, and the magnitude of these factors in various portions of fields.
In spectrum sensing, it is desired to minimize spectrum sensing error (i.e., sum of false alarm and miss detection probabilities) since minimizing spectrum sensing error both reduces collision probability with primary user and enhances usage level of vacant spectrum.