Sentence examples for data fusion concept from inspiring English sources

Furthermore, a new data fusion concept based on the effect of group of sensors was proposed to improve the damage detection performance.

The concept of multisensor data fusion is the combination of data generated by a number of sensors in order to obtain more valuable data and perform inferences that may not be possible from a single sensor alone.

Considering the merits and limitations of each method in estimating the texture parameters, this study tried to improve the performance of the predictive models by using the concept of multi-sensor data fusion.

Through a characteristic analysis of multi-source Intelligent Transportation System ITSS) data fusion on data layer combined with the concept of support vector machine (SVM), this article proposes a multi-source ITS data fusion technique using SVM, and designs a corresponding implementation approach from perspectives of SVM training, training result evaluation and SVM test.

Another concept related with the method is the selected data fusion strategy.

Bass [36] described that he borrowed some concepts directly from military applications such as multisensor data fusion, where on the battlefield or in military theaters a widely diverse array of heterogeneous sources can be employed.

In order to shed light on this concept, classification of various Tunisian fruit juices using a low-level of abstraction data fusion technique was attempted.

He also described using a methodology discovered by the military's concept of Observe, Orient, Decide, and Act (OODA) to gain an overall higher cyberspace situational awareness by using data fusion for Intrusion Detection, and that data fusion can provide varying levels of inference from being merely aware of an intrusion attempt up to being able to analyze the threat and vulnerability.

Couple their sensor capabilities with analytic data fusion software and you have real-time dynamic physiological data.

In [51], various decision fusion, data fusion, and source fusion techniques have been studied.

Data fusion can be implemented using two different approaches: group fusion and similarity fusion.