Charge recycling technique for digital circuits play vital role for decreasing the power. In this digital prominent era, Ample of researches are going on for diminishing power. MTCMOS circuits selectively connect/disconnect the low threshold voltage logic gates to the power supply or the leakage current produced by an MTCMOS circuit is significantly less. MTCMOS (Multi Threshold CMOS) technology provides a solution to the low power design requirements but with this boon of low power technique (MTCMOS) there is a problem of significant power dissipation during mode transition i.e. the active-to-sleep or sleep-to-active mode transitions consume a significant amount of additional energy in the conventional MTCMOS circuits.

Car Control Using Brain EEG Signal

EEG Signal is the recording of the electrical signal generated due to the neural activity in the brain. The EEG signal can be recorded by placing the electrodes on the scalp or directly on the cortex. The EEG signal can be used for various applications one of which is car movement control. In this application of EEG signals the user can control the steering wheel angle in a continuously changing manner. The EEG signal can be used for speeding up or speeding down the car. These applications can be achieved in real time by modulating duration time of ERD/ERS corresponding to the specific imaginary movements.


Discussing the practical meaning of winner take all, it indicates to circumstances where the individual who overthrows others takes all the rewards of the conflict.  There is no consolation flagship for the runner-ups.

The above described practice perfectly fits in case study of neural networks. Neural network is coordination of interconnected neurons which transfers information to each other. This network has comparative weightage (priority) that can be tweaked based on experiences and learning, making neural grid adaptive to input. A particular neuron will be given more or less weight according to the level of signals it possess at that instant of time. That means, neural signal whose weightage is more, will be transferred to other neuron to convey the information content.  The receiver neuron at the end will only respond to neurons that are lively when it is active and will ignore the rest

Simulation of cmos inverter on HSPICE

Simulation of cmos inverter on HSPICE

In this video tutorial we have covered, how to create netlist in hspice? and simulation of inverter using hspice and finally get the output voltage and current at each node. for more details or any query regarding this video you can contact us at or