Md. Ashfaqur Rahman

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False data injection attacks are recently introduced as a class of cyber attacks against smart grid’s monitoring systems. They aim to compromise the readings of grid sensors and phasor measurement units. Recent studies have shown that if the operator uses the DC, i.e., linear, state estimation to determine the current states of the power system, the(More)
False data injection attacks have recently been introduced as an important class of cyber attacks against smart grid’s wide area measurement and monitoring systems. These attacks aim to compromise the readings of multiple power grid sensors and phasor measurement units in order to mislead the operation and control centers. Recent studies have shown that if(More)
The security of the power system can be enhanced with the prediction of the dynamic state variables. To increase the security, a distributed predictor is developed based on the Elman Recurrent Neural Network (ERNN) in this study. To develop a scalable distributed predictor, the whole network is divided in a number of ERNNs. They take the current and the(More)
Medial longitudinal arch is the most important arch of the foot from a clinical point of view. The height of the medial longitudinal arch of the foot is commonly thought to be a predisposing factor to injuries. High-arched runners exhibited more bony, ankle and lateral injuries but low-arched runners revealed a higher risk of soft tissue, knee and medial(More)
To enhance the reliability of the power system, newer technologies are being incorporated day by day. Predictions of different states can significantly increase the reliability of the system. To predict the frequency, a cellular computational generalized neuron network (CCGNN) that is trained with particle swarm optimization (PSO) is proposed recently.(More)
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