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The developed system consists of three subsystems: a low-cost hardware device to acquire the EOG signals, methods to process them digitally, and a serious game controlled exclusively by eye movements.
Currently, IVNS typically uses a GPS-enabled device to acquire position data to give feedback by locating the vehicle on the map displayed to the user.
Furthermore, regular traffic condition composed of vehicles moving at low speed, enables the device to acquire more vehicle information, so improving its performance.
Furthermore, in short collection intervals, regular traffic conditions, composed of vehicles moving at low speed, enables the device to acquire more vehicle information, so improving its performance, while high vehicular speed occurring with low traffic volumes tends to deteriorate it.
For example, if an employee's smartphone is used to access the company's wireless network, a hacker could use the device to acquire sensitive information.
Although this assay is intended for qualitative use by the manufacturer, we improved it using a fluorescence reporter system and a near-infrared imaging device to acquire the signal, and showed that the assay could be upgraded to yield semi-quantitative data (see Figure 5).
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Since most of the smartphones have been already embedded with the GPS service, it is convenient for devices to acquire its position.
However, it is costly and inefficient to deploy numerous anchors to solve the localization problem in WSNs because anchors are equipped with global navigation satellite system receivers, which are expensive and relatively high-power-consuming devices, to acquire their locations.
Spectrum sensing in cognitive communication enables user devices to acquire the mobile location of primary/incumbent user when deep sensing the spectrum availability [118], and realize the localization of primary user even in time-varying fading channels [119], thus make users access different radio access networks for context-aware content based application communication.
People are using their Smartphones and other hand held devices to acquire information and make their decision.
At this step, we use a CCD (Charge Coupled Device) camera to acquire a facial image by using AdaBoost and then Histogram Equalization (HE) is employed to improve the quality of the image.
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