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Self-organization is critical to enable novel indoor Location-Based Services (LBSs) for users and businesses in large, complex and unstructured buildings. Inspired by high densities of smartphones in public indoor spaces, in this paper we propose a self-organizing indoor localization approach that allows the use of available WiFi Access Points (APs) and iBeacons in the area to improve location accuracy...
Ground transport infrastructures require in-situ monitoring to evaluate their condition and deterioration and to design appropriate preventive maintenance strategies. Current monitoring practices provide accurate and detailed spatial measurements but often lack the required temporal resolution. This is because the large scale of these infrastructures and the expensive equipments required for monitoring...
Smartphones have revolutionized the way infrastructure health monitoring applications operate. Their ubiquitous sensing and communication capabilities have made measurement data for infrastructural health monitoring applications easily available. They, however, also introduced a new challenge, namely the huge amount of data that is generated. This new reality prompts the need for efficient techniques...
The proliferation of smartphones nowadays has enabled many crowd assisted applications including audio-based sensing. In such applications, detected sound sources are meaningless without location information. However, it is challenging to localize sound sources accurately in a crowd using only microphones integrated in smartphones without existing infrastructures, such as dedicated microphone sensor...
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