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TOOL FOR AUTOMATICALLY CHECKING ATTENDANCE OF STUDENT IN CLASSROOM

机译:自动检查班级学生出勤率的工具

摘要

We design and use a software tool capable of automatically checking the attendance of an enrolled student by using a smartphone. The student needs to install the application on his/her smartphone. The challenging issue of the software tool is that we need to automatically find out if a student is inside or outside the classroom. For this purpose, the application of the smartphone of the student will measure the current signal strength of Wi-Fi and Bluetooth devices near the classroom. The measurement results are reported to a server running software to check the attendance of the student. The server can analyze the signal strengths to determine whether the student is inside or outside the classroom. A comprehensive measurement of the strength of WiFi and Bluetooth signals shows that WiFi scanning of the smartphone consumes more energy than BLE scanning. Also, the received signal of a Wi-Fi beacon can change dynamically due to interference and fading. In other words, we are not able to find out the location of the student in the classroom by the strength of the Wi-Fi signal. If we can place a Bluetooth device, we can adjust a transmission power level. This helps to improve the accuracy of the location measurement of the student. By leveraging the Bluetooth device, we are able to perform highly advanced location measurement.;COPYRIGHT KIPO 2017
机译:我们设计和使用一种软件工具,该工具可以通过使用智能手机自动检查入学学生的出勤情况。学生需要在他/她的智能手机上安装该应用程序。软件工具具有挑战性的问题是,我们需要自动找出学生是在教室内还是教室外。为此,学生的智能手机的应用程序将测量教室附近的Wi-Fi和蓝牙设备的当前信号强度。测量结果会报告给运行软件的服务器,以检查学生的出勤率。服务器可以分析信号强度以确定学生是在教室内还是教室外。对WiFi和蓝牙信号强度的全面测量表明,智能手机的WiFi扫描比BLE扫描消耗更多的能量。此外,由于干扰和衰落,Wi-Fi信标的接收信号可能会动态变化。换句话说,我们无法通过Wi-Fi信号的强度找出学生在教室中的位置。如果可以放置蓝牙设备,则可以调整传输功率级别。这有助于提高学生的位置测量的准确性。通过利用蓝牙设备,我们能够执行高度高级的位置测量。; COPYRIGHT KIPO 2017

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