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Filtering by: Committee Member Funk, Kenneth H. II

Predicting activity type from accelerometer data

Creator:

Zheng, Yonglei

Abstract:

The study of physical activity is important in improving people’s health as it can help people understand the relationship between physical activity and health. Accelerometers, due to its small size, low cost, convenience and its ability to provide objective information about the frequency, intensity, and duration of physical activity, has...

Resource Type:

Masters Thesis
A computational-based methodology for the rapid determination of initial AP location for WLAN deployment

Creator:

Altamirano, Esteban

Abstract:

The determination of the optimal location of transceivers is a critical design factor when deploying a wireless local area network (WLAN). The performance of the WLAN will improve in a variety of aspects when the transceivers' locations are adequately determined, including the overall cell coverage to the battery life of...

Resource Type:

Masters Thesis