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.

ENGTL based antenna for Wi-Fi and 5G

Abstract: This article reported patch antenna functioning at Wi- Fi and 5G bands. Wi-Fi band (2.4 GHz) is obtained by loading Epsilon Negative Transmission Line (ENGTL) metamaterials into the patch radiating at 5G band (3.5 GHz). To acquire Circular Polarization (CP) at 5G band, conventional square patch is embedded with poly fractals. The experimental and simulated data are in close proximity. The obtained impedance bandwidth is 4.01% at Wi-Fi and is 10.68% at 5G band. CP bandwidth is 2.43% at 5G. This mix of ENGTL as well as fractals provides good compactness appropriate for portable gadgets

High Speed Level Converters With Short Circuit Current Reduction

Abstract: The level converter is used as interface between low voltages to high voltage boundary. The efficient level converter has less power consumption and less delay are the design considerations of the level shifter. In this paper two new CMOS level converters are presented with high driving capability with low propagation delay. The proposed level converters are simulated using Cadence software with 0.18 µm CMOS technology. The simulation result shows that the proposed circuits have less propagation delay than the existing ones. The circuits are simulated for different load capacitor values and different voltages. The proposed level converters operate for different input pulse signal amplitude values are +0.8 V, +1 V, +1.2 V and V DDH values of +1.8 V and +3.3 V .

A novel optimized rigid image registration of brain using ACMI

Abstract: The Mutual Information (MI) is considered to be one of the best metric for mono and multi modal registration results in mis-registration due to spatial information lacking This problem can be solved by using Gradient Coded Mutual Information (GCMI), contains less information than MI In this paper the advantages of above two methods can be combined, and known as Adaptive Combination of MI and GCMI (ACMI) It also laid stress on optimization step, where the process is optimized using Downhill-simplex method and Gauss-Newton method and results show that the accuracy, robustness, reliability and reduction in computation time are improved with ACMI using Gauss-Newton method

Moore and Mealy Negative Edge detector A VHDL Example for Finite State Machine

Abstract: In modern societies we are more dependent on computerized tools, they help us to cope with recent modern lives. The automatic machines perform a variety of operations by adapting the changes in the physical environment. Here in this two varieties FSM, Moore and Mealy, are mentioned. Moore and Mealy machine state diagram are designed and implemented by using a negative edge detector circuit. The designed state machines are implemented in VHDL. For both state machines comparison is also made.

A novel seeker optimization approach for solving combined economic and emission dispatch

Abstract: Over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch including economic dispatch combining as combined economic dispatch and emission dispatch (CEED). Economic dispatch gives a solution to reduce the total fuel cost while Emission dispatch is to reduce the emission level with the required system constraints. In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm.