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» Measuring the dynamics of remembered experience over time
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DATE
2005
IEEE
120views Hardware» more  DATE 2005»
14 years 2 months ago
Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints
Supply voltage scaling and adaptive body-biasing are important techniques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting...
Alexandru Andrei, Marcus T. Schmitz, Petru Eles, Z...
DNIS
2010
Springer
177views Database» more  DNIS 2010»
14 years 3 months ago
Managing Dynamic Mixed Workloads for Operational Business Intelligence
Abstract. As data warehousing technology gains a ubiquitous presence in business today, companies are becoming increasingly reliant upon the information contained in their data war...
Harumi A. Kuno, Umeshwar Dayal, Janet L. Wiener, K...
TVCG
2012
205views Hardware» more  TVCG 2012»
11 years 11 months ago
A Deformable Surface Model for Real-Time Water Drop Animation
—A water drop behaves differently from a large water body because of its strong viscosity and surface tension under the small scale. Surface tension causes the motion of a water ...
Yizhong Zhang, Huamin Wang, Shuai Wang, Yiying Ton...
EOR
2010
120views more  EOR 2010»
13 years 8 months ago
List pricing versus dynamic pricing: Impact on the revenue risk
We consider the problem of a firm selling multiple products that consume a single resource over a finite time period. The amount of the resource is exogenously fixed. We analyze t...
Matthias Koenig, Joern Meissner
DAC
2005
ACM
14 years 9 months ago
Dynamic slack reclamation with procrastination scheduling in real-time embedded systems
Leakage energy consumption is an increasing concern in current and future CMOS technologygenerations. Procrastination scheduling, where task execution can be delayed to maximize t...
Ravindra Jejurikar, Rajesh K. Gupta