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» Location, Localization, and Localizability
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169
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HICSS
1999
IEEE
115views Biometrics» more  HICSS 1999»
15 years 8 months ago
Focusing on Mobility
In this paper, we motivate the importance of the field of mobile computing and survey current practical and formal approaches. We argue that the existing formalisms are not suffic...
Klaus Bergner, Radu Grosu, Andreas Rausch, Alexand...
128
Voted
JCP
2007
108views more  JCP 2007»
15 years 3 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
SIGMETRICS
2011
ACM
296views Hardware» more  SIGMETRICS 2011»
14 years 6 months ago
Cellular data network infrastructure characterization and implication on mobile content placement
Despite the tremendous growth in the cellular data network usage due to the popularity of smartphones, so far there is rather limited understanding of the network infrastructure o...
Qiang Xu, Junxian Huang, Zhaoguang Wang, Feng Qian...
SENSYS
2005
ACM
15 years 9 months ago
MAX: human-centric search of the physical world
MAX is a system that facilitates human-centric search of the physical world. It allows humans to search for and locate objects as and when they need it instead of organizing them ...
Kok-Kiong Yap, Vikram Srinivasan, Mehul Motani
JMLR
2008
159views more  JMLR 2008»
15 years 3 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin