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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
16 years 6 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
16 years 7 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
MICCAI
2009
Springer
16 years 7 months ago
Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data
Pulmonary valve disease affects a significant portion of the global population and often occurs in conjunction with other heart dysfunctions. Emerging interventional methods enable...
Dime Vitanovski, Razvan Ioan Ionasec, Bogdan Geo...
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
15 years 11 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
KBSE
2007
IEEE
16 years 13 days ago
Feature location via information retrieval based filtering of a single scenario execution trace
The paper presents a semi-automated technique for feature location in source code. The technique is based on combining information from two different sources: an execution trace, ...
Dapeng Liu, Andrian Marcus, Denys Poshyvanyk, Vacl...