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» Detecting Inconsistencies in Distributed Data
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HICSS
2003
IEEE
128views Biometrics» more  HICSS 2003»
14 years 3 months ago
Sensor Fusion and Complex Data Analysis for Predictive Maintenance
An essential step toward the development of an intelligent substation is to provide self-diagnosing capability at the equipment level. Transformers, circuit breakers and other sub...
Rahmat Shoureshi, Tim Norick, David Linder, John W...
IPPS
2007
IEEE
14 years 4 months ago
Packet Loss Burstiness: Measurements and Implications for Distributed Applications
Many modern massively distributed systems deploy thousands of nodes to cooperate on a computation task. Network congestions occur in these systems. Most applications rely on conge...
David X. Wei, Pei Cao, Steven H. Low
ICPPW
2003
IEEE
14 years 3 months ago
A Dynamic Load Balancing Scheme for I/O-Intensive Applications in Distributed Systems
In this paper, a new I/O-aware load-balancing scheme is presented to improve overall performance of a distributed system with a general and practical workload including I/O activi...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
STVR
2002
111views more  STVR 2002»
13 years 10 months ago
Can fault-exposure-potential estimates improve the fault detection abilities of test suites?
Code-coverage-based test data adequacy criteria typically treat all coverable code elements (such as statements, basic blocks, or outcomes of decisions) as equal. In practice, how...
Wei Chen, Roland H. Untch, Gregg Rothermel, Sebast...
NAACL
2010
13 years 8 months ago
Training Paradigms for Correcting Errors in Grammar and Usage
This paper proposes a novel approach to the problem of training classifiers to detect and correct grammar and usage errors in text by selectively introducing mistakes into the tra...
Alla Rozovskaya, Dan Roth