Activity-based micro-simulation transportation models typically predict 24-h activity-travel
sequences for each individual in a study area. These sequences serve as a key input for …

Recently, the fingerprint-based wireless local area network (WLAN) positioning has gained
significant interest. A probability distribution-aided indoor positioning algorithm based on the …

Software defined radios (SDRs) are often used in the experimental evaluation of next-
generation wireless technologies. While crowdsourced spectrum monitoring is an important …

In this paper, we propose a novel location tracking system called SCaNME (Shotgun
Clustering-aided Navigation in Mobile Environment) which iteratively sequences the clusters …

Traditional radio-map-based localization methods need to sample a large number of
location fingerprints offline, which requires huge amount of human and material resources …

Metric is not only a function to mesure the distance between data points, but also a main tool
to evaluate the error of data analysis, so it is one of the important factors to be considered by …

In the area of Wireless Local Area Network (WLAN) based indoor localization, the Received
Signal Strength (RSS) fingerprinting based localization technique has been s-tudied …

Due to the wide deployment of wireless local area networks (WLAN), received signal
strength (RSS)-based indoor WLAN localization has attracted considerable attention in both …

For the purpose of utilizing physical neighborhood relations of adjacent reference points
(ARPs) in radio-map, a new approach by constructing both location fingerprinting database …

We introduce a framework for the evaluation of multiclass classifiers by exploring their
confusion matrices. Instead of using error-counting measures of performance, we …