SELoc: Collect Your Location Data Using Only a Barometer Sensor

Efficient location by using data envelopment analysis

So far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability.  The initial focus of these models is on the location availability of service providers and demand estimates, and some of these models are within the framework of multi-objective programming models.  After the advent of scienc...

Output-only Modal Analysis of a Beam Via Frequency Domain Decomposition Method Using Noisy Data

The output data from a structure is the building block for output-only modal analysis. The structure response in the output data, however, is usually contaminated with noise. Naturally, the success of output-only methods in determining the modal parameters of a structure depends on noise level. In this paper, the possibility and accuracy of identifying the modal parameters of a simply supported...

Target Location Estimation in Wireless Sensor Networks Using Binary Data

Abstract — Based on the assumption that the received signal intensity is inversely proportional to a polynomial function of the distance from the target, a maximum likelihood (ML) target location estimator that uses multi-frame binary data is proposed for wireless sensor networks (WSNs). Simulation results show that this estimator is much more accurate than a heuristic weighted average method, ...

Voronoi tracking: location estimation using sparse and noisy sensor data

Tracking the activity of people in indoor environments has gained considerable attention in the robotics community over the last years. Most of the existing approaches are based on sensors which allow to accurately determine the locations of people but do not provide means to distinguish between different persons. In this paper we propose a novel approach to tracking moving objects and their id...

Why Collect Retrospective Data ?