Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
— When industrial robot arms are controlled using sensor data the performance is dependent on the sensor sampling rate, on delays in signal processing, and on the robot dynamics....
: Empirical analyses of the IDDQ signatures of 0.18 µm devices indicate that IDDQ currents exhibit hysteresis. A newly proposed test method, SPIRIT (Single Pattern Iteration IDDQ ...
The concept of having an integrated circuit (IC) generate its own unique digital signature has broad application in areas such as embedded systems security, and IP/IC counterpiracy...
Large design models contain tens of thousands of model elements. Designers easily get overwhelmed maintaining the consistency of such design models over time. Not only is it hard ...