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The Traffic Safety Guardian system is a real-time object recognition system based on Android mobile devices to assist car drivers for safety driving. It can analyze driving conditions to remind the drivers with related warning notices. The computing overhead of the system is large because the captured frames have to be processed to recognize interested objects and to track them for analysis of the...
In this paper, we propose a test-based assessment system running on top of the mobile devices. Both pad and phone devices are supported by the proposed system, though some functions on the pad are not provided on the phone due to the display size consideration. With the proposed system, students can take tests or review past tests on mobile devices, and teachers have no more the burden of marking...
This paper presents a novel scheme to derive power saving profiles based on the usage patterns of the Android devices. The entire architecture is developed as an Android app "Power Monitor v2" and is deployed to the smart devices. A monitoring module of the app periodically collects several data from the devices and stores them locally. A learning engine then operates on the raw data to...
This study designed an Android mobile platform to serve as a connection center for peripheral and personal health record servers, combining the frameworks of mobile health management and wireless body area networks (WBAN). The client and the healthcare server employ CCR (Continuity of Care Record) as the standard data exchange format, allowing it to work interoperability among various health information...
The computing of applications on mobile devices suffers tight constraints on computation and energy resources. Thus, it's important for embedded applications running on these resource-constrained devices are able to execute efficiently. The Android system uses dalvik virtual machine to execute Java applications, and the virtual machine causes bottlenecks of the application hard to be identified directly...
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