Ultra-low Power FinFET SRAM Cell with improved stability suitable for low power applications

In this paper, a new 11T SRAM cell using FinFET technology has been proposed, the basic component of the cell is the 6T SRAM cell with 4 NMOS access transistors to improve the stability and also makes it a dual port memory cell. The proposed cell uses a header scheme in which one extra PMOS transistor is used which is biased at different voltages to improve the read and write stability thus, helps in reducing the leakage power and active power. The cell shows improvement in RSNM (Read Static Noise Margin) with LP8T by 2.39x at sub-threshold voltage 2.68x with D6T SRAM cell, 5.5x with TG8T. The WSNM (Write Static Noise Margin) and HM (Hold Margin) of the SRAM cell at 0.9V is 306mV and 384mV. At sub-threshold operation also it shows improvement. The Leakage power reduced by 0.125x with LP8T, 0.022x with D6T SRAM cell, TG8T and SE8T. Also, impact of process variation on cell stability is discussed

Determinants of the Success of Active vs. Passive Investment Strategy

This study documents the monthly performance of active versus passive investing over the last 25 years. It also identifies several variables that are closely related to the current and next month’s success of one over the other. Three useful factors identified include the Fed funds rate, the VIX volatility index, and Russell Investments’ CrossVolTM index. All three are valuable in explaining and predicting the success of active management to certain extent

Enhanced MO-PSO Preview Control of a Non-Linear Inverted Pendulum System

The use of advanced knowledge of reference can improve the tracking quality and performance of transient response of a control system and the systems using such information are called preview control systems. This paper explains the implementation of preview control methodology available in literature, i.e. DARE and LMI-based approaches for a non-linear system. The design of a multi-objective preview controller for a non-linear inverted pendulum system based on the MO-PSO (Multi-Objective Particle Swarm Optimization) algorithm. The proposed algorithm uses a modified objective function to deal with multiple objectives and replaces infeasible solutions by feasible ones with the help of the concept of brood generation in the MBO (Marriage in Honey Bees) algorithm. The use of the notion of brood generation strengthens the algorithm by making the solutions not fall into local optima. The design methods are verified, for time response and robustness and stability parameters, on a benchmark nonlinear model of inverted pendulum. Simulations are carried out on a MATLAB platform. The test results verify the potential of the proposed MO-PSO procedure as per the quality of the solution obtained in terms of multiple objectives considered for the design problems