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DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 9 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
DAC
2002
ACM
14 years 8 months ago
A fast on-chip profiler memory
Profiling an application executing on a microprocessor is part of the solution to numerous software and hardware optimization and design automation problems. Most current profilin...
Roman L. Lysecky, Susan Cotterell, Frank Vahid

Publication
383views
14 years 7 months ago
Hunting Nessie -- Real-Time Abnormality Detection from Webcams
We present a data-driven, unsupervised method for unusual scene detection from static webcams. Such time-lapse data is usually captured with very low or varying framerate. This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
DSN
2009
IEEE
14 years 2 months ago
Decoupling Dynamic Information Flow Tracking with a dedicated coprocessor
Dynamic Information Flow Tracking (DIFT) is a promising security technique. With hardware support, DIFT prevents a wide range of attacks on vulnerable software with minimal perfor...
Hari Kannan, Michael Dalton, Christos Kozyrakis
IPPS
2009
IEEE
14 years 2 months ago
Using hardware transactional memory for data race detection
Abstract—Widespread emergence of multicore processors will spur development of parallel applications, exposing programmers to degrees of hardware concurrency hitherto unavailable...
Shantanu Gupta, Florin Sultan, Srihari Cadambi, Fr...