The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Background/Objectives: For the security control, MDM effectively limits functionality of smart phone. However, the control and monitoring of mobile devices causes the user to suffer much inconvenience. Methods/Statistical Analysis: We performed experiments applying the Kalman filter and the BLE to improve location accuracy for MDM system. And designed a MDM system using the BLE and the central server, smart phones, CCTV, WiFi, etc. Findings: In the system proposed in this study, regardless of security zones and other regions through the existing RFID tags or input/output gates, the user’s access information is sent to the mobile security server depending on the precise indoor position by using beacons regarding the staff who has entered the security zone. Also, PUSH messages are transmitted so that mobile security control policies can be applied depending on the security classification of each zone of the house. For the proposed system, we were experimented on using six virtual BLE beacons in the system server. And noises included correction values obtain into more accurate correction values by applying the Kalman filter. Application/Improvements: The error of location measurement contained the noise turned out (11, 9.6) in the positioning coordinates (x, y). However, reduce error to (3.47, 5.02) if applying the extended Kalman filter.

Keywords

BLE Beacon, Bluetooth 4.0, Kalman Filter, MDM.
User