Sentence examples for mobile sensing applications from inspiring English sources

The ubiquitous deployment of personal mobile devices today has boosted numerous mobile sensing applications where sensing data should be timely collected and exchanged among participating sensors.

Mobile crowdsensing has facilitated ubiquitous mobile sensing applications between humans and the surrounding physical world as a convenient and economical sensing technology.

Based on measurement results, analyses of the connectivity capabilities of the IEEE 802.15.4/ZigBee technologies for mobile sensing applications in industrial environment, and their use in collision avoidance applications are reported in[16].

The rapidly enhancing sensing capabilities of smartphones are enabling the development of a wide range of innovative mobile sensing applications that are impacting on everyday life of mobile users.

Designing distributed neighbor discovery protocols in mobile sensing applications is particularly challenging because of the duty cycling operation mode where mobile devices, usually battery-powered, switch between active and dormant modes periodically to conserve energy.

Lane et al. (2010) presents four main reasons for the rapid increase in mobile sensing applications: 1) availability of cheap embedded sensors, 2) applications can be programmed to use these sensors, 3) app stores can be used to deliver new applications to large populations easily, and 4) back-end servers providing resources for computing.

Data privacy is one concern that must be considered, and it is discussed in several studies, e.g. Christin et al. ([2011]) conducted a survey on privacy in mobile participatory sensing applications and showed that almost all applications capture location and time information.

Due to the simplicity, low-cost and ultra low-power requirements of these transducers, they may be particularly suited to battery powered mobile and wireless sensing applications, or to applications dependant upon energy harvesting.

Furthermore, both the nanolens vapor condensation and its wide-field on-chip imaging can be performed within a cost-effective and portable device (see, for example, Figure 1 e), which may find wide-scale use in field settings as well as mobile sensing and diagnostics applications.

This entire platform, with its tunable nanolens condensation and wide-field imaging functions, is also miniaturized into a cost-effective and portable device, which might be especially important for field use, mobile sensing, and diagnostics applications, including, for example, the measurement of viral load in bodily fluids.

Our research at MIT, as well as the work of other academic researchers such as David Mohr and Andrew Campbell, demonstrates the vast potential for the application of mobile sensing to mental health.