Institution
Vignan University
Education•Guntur, Andhra Pradesh, India•
About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Control theory & CMOS. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.
Topics: Control theory, CMOS, Cement, Machining, Wireless sensor network
Papers
More filters
01 Jan 2016
TL;DR: In this paper, different soil strata, rigid and flexible base were considered and corresponding base shear and lateral displacement were determined with variation in floors such as G+7, G+8 and G+9and Zones 3, 4 and 5.
Abstract: Earthquakes have the potential to cause the greatest damage, among the other natural hazards. Earthquakes are perhaps the most unpredictable and highly destructive of all the natural disasters. Structures are subjected to different earthquake loading, behave differently with diversification in dense, medium and soft soil. Soil properties get affected drastically as seismic waves pass through a soil layer. When a structure is subjected to an earthquake excitation, it interacts with the foundation and soil, and thus changes the motion of the ground. It means that the movement of the whole ground structure system is influenced by type of soil as well as by the type of structure. In this study, different soil strata, rigid and flexible base were considered and corresponding base shear and lateral displacement were determined with variation in floors such as G+7, G+8 and G+9and Zones 3, 4 and 5. IS 1893: 2002 “Criteria for Earthquake Resistant Design of Structures” gives response spectrum for different types of soil such as hard, medium and soft. A building was modelled using ETABS -2013 having different Winkler’s springs as its foundation corresponding to different soil properties.
••
05 Nov 2020TL;DR: In this paper, a fuzzy controller for reducing the torque ripples and also for speed control of closed loop operated BLDC motors has been presented, where the simulation models of mathematical modeling, Space vector Pulse width modulation operated closed loop operation with PI and fuzzy control and the results are also presented.
Abstract: Industrial generally needs low oscillations in motor output. As compared to other motors the BLDC motor has more advantages and used in more applications. The torque ripples and speed control in motors are playing a key role in application. So definitely, there is a need to reduce the oscillations and control the speed in closed loop operated BLDC motors. This paper presents the PI, fuzzy controller for reducing the torques ripples and also for speed control of BLDC motor. Pulse width modulation (PWM) generation and subsequent switching can reduce oscillations in torque content. For accurate results mathematical modelling is required to design in simulation model. The simulation models of mathematical modeling, Space vector Pulse width modulation operated BLDC with PI & fuzzy control and the results are also presented.
••
01 Jan 2022••
03 Jul 2023••
01 Jan 2023TL;DR: In this article , an intelligent traffic management system using AI and image processing is proposed to analyse live feeds from cameras placed at intersections, and the amount of vehicles passing through the intersection is predicted to increase by around 32% based on simulation results.
Abstract: One of the biggest issues in metropolitan areas is traffic congestion, despite having well-planned road systems and adequate infrastructure. The main cause of this issue is the 40% annual increase in the number of cars on the road. Most current traffic control systems are fixed cycle types, which always cycle through red, yellow, and green. The deployment of these pilots is accompanied by the deployment of traffic police officers to maintain order in the streets. Unlike human traffic cops, these inflexible systems cannot adjust to changing circumstances on the fly. Intelligent traffic management systems are needed immediately. In order to measure traffic volume, our proposed system will use AI and image processing to analyse live feeds from cameras placed at intersections. The amount of vehicles passing through the intersection is predicted to increase by around 32% based on simulation results, which is a substantial gain over the status quo. More training and calibration of the model with actual CCTV data can bring about significant improvements in the system's performance.
Authors
Showing all 1166 results
Name | H-index | Papers | Citations |
---|---|---|---|
Muthukaruppan Alagar | 40 | 316 | 5914 |
Ebenezer Daniel | 40 | 180 | 5597 |
P. B. Kavi Kishor | 30 | 123 | 3486 |
V. Purnachandra Rao | 26 | 59 | 1723 |
Muddu Sekhar | 24 | 135 | 1929 |
Anandarup Goswami | 23 | 44 | 5427 |
Reddymasu Sreenivasulu | 20 | 58 | 925 |
Murthy Chavali | 20 | 105 | 1699 |
Krishna P. Kota | 20 | 42 | 1172 |
Naveen Mulakayala | 17 | 39 | 937 |
Tondepu Subbaiah | 16 | 65 | 773 |
Bharat Kumar Tripuramallu | 15 | 34 | 574 |
Avireni Srinivasulu | 13 | 97 | 626 |
Abhinav Parashar | 13 | 29 | 375 |
Umesh Chandra | 13 | 39 | 550 |