The rapid technology advancement in VLSI leads to decreased in chip size to few nanometers. With such continues miniaturization of VLSI devices has strong impact on the VLSI technology in certain ways such as increase in resistance. The performances of ICs have been decreasing aggressively with increase in resistance, which furtherlead to increase interconnect delay thus becoming much more significant factor of problem. Thus traditional Copper interconnects have now become a significant performance delimiter due to increase in its resistance at Nano level. Thus to overcome from the limitation of Copper, Carbon Nanotubes have been proposed as a possible future replacement of Copper interconnect. Several different configuration of CNT proposed, out of which Single Wall CNT configuration has been received much attention for their unique characteristics and as a possible alternative to Cu interconnects in future ICs. In this paper we have compare the equivalent circuit model of Single wall CNTs against traditional Cu interconnectfor resistance parameter. For the first time an impact of length, width and mean free path on interconnect resistance is study at 22nm proving a CNT as strong replacement to Copper interconnect.

This paper proposes a new MATLAB built-in function, mathematical and simulink models, all to be simultaneously simple, user–friendly and to be used to face the two top challenges in developing mechatronic motion control systems, particularly, the early identifying system level problems and ensuring that all design requirements are met, as well as, to simplify and accelerate Mechatronics motion control design process including; performance analysis and verification of a given electric DC system, proper controller selection and verification for desired output speed or angle. The proposed models and function are intended for research purposes, application in educational process, and to be used by the mechatronics students and engineers for selection, design and verification purposes.

Multiplication is the basic building block for several DSP processors, Image processing and many other. Over the years the computational complexities of algorithms used in Digital Signal Processors (DSPs) have gradually increased. This requires a parallel array multiplier to achieve high execution speed or to meet the performance demands. A typical implementation of such an array multiplier is Braun design. Braun multiplier is a type of parallel array multiplier. The architecture of Braun multiplier mainly consists of some Carry Save Adders, array of AND gates and one Ripple Carry Adder. In this research work, a new design of Braun Multiplier is proposed and this proposed design of multiplier uses a very fast parallel prefix adder (Brent kung Adder) in place of Ripple Carry Adder. The architecture of standard Braun Multiplier is modified in this work for reducing the area and delay due to Ripple Carry Adder and performing faster multiplication of two binary numbers. The design is implemented using Microwind1, digital schematics (DSCH)

Refer to this research, an intelligent robust fuzzy parallel feedback linearization estimator for Proportional-Integral-Derivative (PID) controller is proposed for highly nonlinear continuum robot manipulator. In the absence of robot knowledge, PID may be the best controller, because it is model-free, and its parameters can be adjusted easily and separately. And it is the most used in robot manipulators. In order to remove steady-state error caused by uncertainties and noise, the integrator gain has to be increased. This leads to worse transient performance, even destroys the stability. The integrator in a PID controller also reduces the bandwidth of the closed-loop system. Model-based compensation for PD control is an alternative method to substitute PID control. Feedback linearization compensation is one of the nonlinear compensator. The first problem of the pure feedback linearization compensator (FLC) was equivalent problem in certain and uncertain systems. The nonlinear equivalent dynamic problem in uncertain system is solved by using parallel fuzzy logic theory. To eliminate the continuum robot manipulator system’s dynamic; Mamdani fuzzy inference system is design and applied to FLC. This methodology is based on design parallel fuzzy inference system and applied to equivalent nonlinear dynamic part of FLC. The results demonstrate that the model free fuzzy FLC estimator works well to compensate linear PID controller in presence of partly uncertainty system (e.g., continuum robot).