Sentence examples for location tracking system from inspiring English sources

Exact(8)

In this paper, we propose a human identification, monitoring, and location tracking system, called SmartITS, which continuously tracks MAC ids of user equipment (Smartphones, BLE tags, and Bluetooth devices) and can provide a Google map-based visualization of their trajectories.

Extensive testing with a prototype testbed system in densely populated areas shows that the SmartITS system can seamlessly track user trajectories in indoor and outdoor stretches with a high aggregate location accuracy which is up to 44.49% more accurate than the simple GPS based location tracking system.

In this paper, based on our previous works on the design of efficient localization methods, we study the important issues in the design and implementation of a location tracking system for monitoring people in an indoor environment within a large building such as in rehabit centres and schools.

Trogh et al. [5] presented a radio frequency-based location tracking system, which could improve the performance by eliminating the shadowing.

One of Apple's most interesting technologies is iBeacon, which is a Bluetooth low energy location tracking system which the company has so far only pushed into retail based environments.

There are two types and they usually work in conjunction with a location tracking system.

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Similar(52)

On the other hand, some researches have focused on developing infrastructure-independent location tracking systems (e.g., Akula et al. 2011; Ojeda and Borenstein 2007).

Although history of tracking systems comes back to design of radar system and GPS location, tracking systems based on two-dimensional signal processing do not have a long history.

Location tracking systems (possible through either radio or GPS) usually do more than just show an owner where their motorcycle is located.

Real data obtained through proximity location and tracking system technologies is one example discussed.

The paper discusses future efforts to refine, extend, and validate the models with more data and real data relative to physical (spatial topographical) and social inputs (staffing, patient care models, etc).. Real data obtained through proximity location and tracking system technologies is one example discussed.

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