Microprocessors are becoming faster at such a rapid pace that memory systems cannot keep up. As a result, the relative latency of load instructions grows constantly and already impedes processor pe rformance. Load value predictors alleviate this problem by allowing the CPU to speculatively continue processing without having to wait for load instructions to co mplete, which can significantly imp...

Optimal control of general nonlinear systems is a central challenge in automation. Enabled by powerful function approximators, data-driven approaches to have recently successfully tackled challenging applications. However, such methods often obscure the structure dynamics and behind black-box over-parameterized representations, thus limiting our ability understand closed-loop behavior. This art...

Power systems are subjected to small–signal oscillations that can be caused by sudden change in the value of large loads. To avoid the dangers of these oscillations, the Power System Stabilizers (PSSs) are used. When the PSSs can not be effective enough, installation of the Thyristor–based compensators to increase the oscillations damping is a suitable method. In this paper, a Static Synchronou...

The effects of hot air temperature (40, 50 and 60 oC) and Radiation Intensity (RI) (0.21, 0.31 and 0.41 w/cm2) on the response variables (drying time, Head Parboiled Rice Yield (HPRY), color value and hardness)) of parboiled rice were investigated. The drying was performed using hybrid hot air–infrared drying. The optimization of drying variables and the relationship b...

The popularity of deep features based image retrieval and classification task has grown a lot in the recent years. Feature representation on Convolutional Neural Networks (CNNs) found to be very effective terms accuracy by various researchers field visual content retrieval. which are neutral their domain knowledge with automatic learning capability from images demand applications. For improving...