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WSC
1994
13 years 10 months ago
AutoStat
Whether designing a new system or modifying an existing one, engineers want to take the guesswork out of finding the best possible solution. While there are many analysis methods ...
Matthew W. Rohrer
IWNAS
2008
IEEE
14 years 3 months ago
Event-based Trust Framework Model in Wireless Sensor Networks
The security of wireless sensor networks is ever more important nowadays. Most of the proposed security protocols in wireless sensor networks are based on authentication and encry...
Haiguang Chen, Huafeng Wu, Jinchu Hu, Chuanshan Ga...
VTS
2003
IEEE
89views Hardware» more  VTS 2003»
14 years 2 months ago
Diagnosis of Delay Defects Using Statistical Timing Models
— In this paper, we study the problem of delay defect diagnosis based on statistical timing models. We propose a diagnosis algorithm that can effectively utilize statistical timi...
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, Jing-...
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
14 years 2 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
SMA
2010
ACM
160views Solid Modeling» more  SMA 2010»
13 years 7 months ago
A geostatistical approach to define guidelines for radon prone area identification
Radon is a natural radioactive gas known to be the main contributor to natural background radiation exposure and the major leading cause of lung cancer second to smoking. Indoor ra...
Riccardo Borgoni, Piero Quatto, Giorgio Somà...