Vignan University

About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.

Low-Power and Low-Leakage Design Techniques in CMOS Technology

Abstract: The primary goal of developing low power consumption device in this modern era is a real test for every VLSI designer. By the process of control scattering, we can minimize the amount of power consumption and area occupying in the VLSI (Very large-Scale Integration) Chip [1]. Control administration procedures, logical methods are configured for low power circuits and their frameworks. Reducing the amount of power consumption, Leakage power in battery-powered and portable devices in VLSI systems has become an important aspect. The reduction of power consumption in any circuit depends on the amount of leakage of transistors. Insights demonstrate that 40% of total power wasted in the form of leakage. This percentage may increase by the process of transistor scaling. Transistor scaling is a method that is used to increase the density of the transistors for the manufacturing of any chip. This paper explores mainly the power-optimization/Leakage of the circuit and its improvement. To minimize the amount of power dissipation and leakage power, the designer should draw attention to the techniques involved. Simulation results has been observed in the SPICE-tool of 35nm Technology.

Identifying Optimal Features using Whale Optimization Technique

Abstract: This paper utilizes Whale Optimization Algorithmic rule (WOA), a meta-heuristic optimization algorithmic rule (nature-inspired one), to go looking for the optimum set of features or options. Feature selection techniques are crucial to understand data better, remove redundant features and also lead to increased efficiency and accuracy. Hellinger Distance (HD) function has been used for feature scaling and in Whale Optimization Algorithm RUSBoost has been used as the classifier. This algorithm reduces the size of the feature into 6 features that play the main role in the chosen dataset named the Eclipsedata1. To know how the algorithm is performing, XGBoost model has been trained using the features selected with the help of WOA. The accuracy achieved is 85.49%.

Opportunistic spectrum access by wireless devices used in industrial networking

Abstract: When wireless communication technologies are used in industrial networking, interference to these wireless devices is a major problem. This problem is more in ISM bands. Using licensed bands for industrial sensors and controllers by way of opportunistic spectrum access is being explored in the recent times. But searching by these wireless devices for the available vacant spectrum is a hectic task as many of these devices are very small and operate with limited computing powers. Hence in these kinds of environments it would be better if spectrum sensing task is carried out by more capable devices like access points and share it to all the surrounding tiny wireless devices. It will be more appropriate if the available vacant spectrum details can be obtained from a server like resource. It can alleviate the sensors from carrying out such hectic spectrum sensing activity. It is explored in this work to assess the interference levels in such environments and propose a solution to access licensed bands in opportunistic manner.

Implementation of ultrasonic ranging and fire safety for blind person

Abstract: This paper shows a method to introduce a mobility aid for blind persons by giving alert to blind person using voice processor with ear phones This system is also used in automatic robots, self propelling vehicles in automated production factories etc This system contains a signal processing unit with LPC 2148 microcontroller This receives data from serial input/output port and gives alert to blind people This paper contains temperature compensation method to reduce the error in measurement of distance using ultrasonic sensors Signal processing is done using lpc2148 micro controller which is used for interfacing between different sensors and pc sensor then process it and delivers it to the computer using serial input/output port and gives alert to blind people This paper contains temperature compensation method to reduce the error in measurement of distance using ultrasonic sensors Signal processing is done using LPC 2148 micro controller which is used for interfacing between different sensors and pc Further received data is verified using MATLAB