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Your search keyword '"Sankara Rao, V."' showing total 7 results
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7 results on '"Sankara Rao, V."'

2. THE INFLUENCE OF HALL CURRENTS ON UNSTEADY-MHD HEAT TRANSFER FLOWIN A CONDUCTING CHANNEL CONTAINING TWO IONIZED FLUIDS.

Author

Sankara Rao, V. Gowri and Raju, T. Linga

Subjects
MAGNETOHYDRODYNAMICS, HEAT transfer, IONIZED gases, QUANTUM perturbations, DIFFERENTIAL equations, VISCOSITY
Abstract

We delve into the effects of hall currents on the dynamics of unsteady magnetohydrodynamic flow and heat transfer within a two-fluid system of ionized gases confined within a horizontal channel bounded by parallel conducting plates. Employing a regular perturbation technique, we solve the governing partial differential equations to unveil the distributions of velocity and temperature, alongside profiles depicting heat transfer coefficients. Through a systematic parametric analysis, we explore the interplay among variables such as the Hartmann number, Hall parameter, and ratios involving viscosities, heights, electrical conductivities, and thermal conductivities. The results highlight the profound influence of these parameters on the dynamics of unsteady magnetohydrodynamic (MHD) heat transfer within a flow regime characterized by a dual-ionized fluid. This influence is particularly pronounced when the lateral plates of the channel are conductive. Significantly, elevated Hartmann numbers and Hall parameters are associated with augmented heat transfer coefficients at both plates, holding other variables constant. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Improve the performance of complex system through artificial intelligence.

Author

Medikondu, N. R., Sankara Rao, V., Gandepudi, Jaya Raju, Babu, K. Prakash, Harsha, A. Sri, and Dharmendra, B. V.

Subjects
*ARTIFICIAL intelligence, *TARDINESS, *CLOUD computing, *RESEARCH personnel, *TASK performance, *HEURISTIC algorithms
Abstract

In this paper for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 120 number of tasks and processors. [ABSTRACT FROM AUTHOR]

Published
2023
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4. Data mining application in task scheduling system.

Author

Harsha, A. Sri, Arshad, Mohammad, Sankara Rao, V., Babu, K. Prakash, Medikondu, N. R., and Dharmendra, B. V.

Subjects
TRAVEL time (Traffic engineering), DATA mining, SCHEDULING, TARDINESS, CLOUD computing, HEURISTIC algorithms
Abstract

To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this paper for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean flow time with utilizing maximum resources with existing process time and travel time. [ABSTRACT FROM AUTHOR]

Published
2023
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6. ENHANCING THE PERFORMANCE OF SIGN LANGUAGE RECOGNITION USING CNN AND RNN CLASSIFIER

Author

Sai Sampath Gunupuru, Akshidha Pragna, and Uma Sankara rao V Aditya

Abstract

Sign language gave hope to deaf and dumb people to communicate with others. Although there is a significant development in sign language, Sign recognition systems are created to increase efficiency in sign recognition. Our sign language recognition technology was created to aid in communication for individuals suffering from hearing and visibility issues. We have created it using CNN (Convolutional neural network) and RNN (Recurrent neural network). After pre-processing the images, the images are used in the dataset containing the 25 English alphabets. We built CNN and trained it with the dataset. After training the model we have predicted the accuracy. To increase the accuracy we have enhanced the CNN model with RNN. The best accuracy obtained is 88.8% for CNN with RNN. Keywords- Convolutional neural network, Recurrent neural network

Published
2023

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