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Concept Design of Estimation Scheme for Social Graph Based on Occupancy Time in Space

机译:基于空间占用时间的社会图估算方案概念设计

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Taking care of students is effective work to avoid repeating a year or dropping out in education institutes. As taking care process, human relations among students is a related factor to find a care-required student. Additionally, dynamic changes in human relations require continuous recognition of students to taking care. As the recognition scheme of students, indoor positioning methods are candidate technology to track students with cheap wireless devices. Bluetooth, WiFi, and IEEE 802.1.5.4 are usually used for conventional service according to the decreasing costs of the devices. Bluetooth Low Energy (BLE) is the low energy standard of Bluetooth and is suitable for long operation with a battery. Since the authors have been proposed a concept design of an estimation scheme for social graph based on occupancy time in space, this paper extends the proposed position estimation scheme. It evaluates the estimation performance of the grid position as the fundamental location information for the social graph estimation. The proposed scheme uses a BLE beacon to track each student and recognizes a student share time in the same space. It also estimates social relations among students. We have developed a prototype system for tracking BLE beacon and estimating a location according to RSS values from the BLE beacon. In the evaluation, we have developed a special classifier to estimate a grid position according to the received RSS values. The classifier is trained by actual measurement data. The evaluation results show that the classifier can estimate a correct grid position with more than 90% by receiving one set of RSS values.
机译:照顾学生是有效的工作,以避免每年重复一年或在教育机构中辍学。作为照顾过程,学生之间的人际关系是找到护理学生的相关因素。此外,人际关系的动态变化需要持续承认学生以照顾。作为学生的识别方案,室内定位方法是候选技术,用于跟踪廉价无线设备的学生。蓝牙,WiFi和IEEE 802.1.5.4通常根据设备的降低而用于传统服务。蓝牙低能量(BLE)是蓝牙的低能量标准,适用于电池的长操作。由于作者已经提出了基于空间中占用时间的社会图估算方案的概念设计,因此该论文扩展了所提出的位置估计方案。它评估网格位置的估计性能作为社会图估计的基本位置信息。该方案使用BLE灯信来跟踪每个学生,并在同一空间中识别学生分享时间。它还估计学生的社会关系。我们开发了一种用于跟踪BLE信标的原型系统,并根据来自BLE灯泡的RSS值估计位置。在评估中,我们开发了一个特殊的分类器,以根据所接收的RSS值估计网格位置。分类器由实际测量数据训练。评估结果表明,通过接收一组RSS值,分类器可以估计超过90%的正确网格位置。

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