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Displaying 1-5 out of 5 total
Studying Sensing-Based Systems: Scaling to Human Crowds in the Real World
Found in: IEEE Internet Computing
By Mikkel Baun Kjaergaard
Issue Date:September 2013
pp. 80-84
Recent sensing-based systems involve a multitude of users, devices, and places. These types of systems challenge existing approaches for conducting valid system evaluations. Here, the author discusses such evaluation challenges and revisits existing system...
Hyperbolic Location Fingerprinting: A Calibration-Free Solution for Handling Differences in Signal Strength (concise contribution)
Found in: Pervasive Computing and Communications, IEEE International Conference on
By Mikkel Baun Kjærgaard, Carsten Valdemar Munk
Issue Date:March 2008
pp. 110-116
Differences in signal strength among wireless network cards, phones and tags are a fundamental problem for location fingerprinting. Current solutions require manual and error-prone calibration for each new client to address this problem. This paper propose...
Cleaning and Processing RSS Measurements for Location Fingerprinting
Found in: Autonomic and Autonomous Systems, International Conference on
By Mikkel Baun Kjaergaard
Issue Date:June 2007
pp. 12
Handling variations in sampled Received Signal Strength (RSS) is neassary for achieving robust location fingerprinting (LF). Current research has only proposed limited system-specific models for how to handle the cleaning of RSS variations. However, this p...
An API for Integrating Spatial Context Models with Spatial Reasoning Algorithms
Found in: Pervasive Computing and Communications Workshops, IEEE International Conference on
By Mikkel Baun Kjærgaard
Issue Date:March 2006
pp. 18-23
The integration of context-aware applications with spatial context models is often done using a common query language. However, algorithms that estimate and reason about spatial context information can benefit from a tighter integration. An object-oriented...
Location-Based Services on Mobile Phones: Minimizing Power Consumption
Found in: IEEE Pervasive Computing
By Mikkel Baun Kjærgaard
Issue Date:January 2012
pp. 67-73
Building low-power location-based services that can run for hours on mobile phones is challenging. This survey of power conservation methods profiles how different phone features and types of LBSs consume power and discusses related design considerations.