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14 results on '"Reddy, Ch. Venkata Krishna"'

5. Analysis of Image Quality and Video Denoising Using Convolutional Neural Networks

Author

Gollapudi, Venkata Mahati, Madhuli, Alla Sri, Kartik, Ravuri, Valiveti, Hima Bindu, Vijaya lakshmi, T. R., Reddy, Ch. Venkata Krishna, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar Jain, Pradip, editor, Nath Singh, Yatindra, editor, Gollapalli, Ravi Paul, editor, and Singh, S. P., editor

Published
2024
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7. Modeling of Patterns with Spectral Data and Time-Varying PSO to Identify Concealed Character Strokes of Historical Manuscripts

Author

Lakshmi, T. R. Vijaya, Reddy, Ch. Venkata Krishna, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Saraswat, Mukesh, editor, Roy, Sarbani, editor, Chowdhury, Chandreyee, editor, and Gandomi, Amir H., editor

Published
2022
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13. 5 DOF Wireless Hand Motion Controlled Robotic Arm.

Author

Sumithra, G., Kousalya, S., Chandrahaas, R., Rao, E. Sreeja, Nikitha, G., Reddy, Ch. Venkata Krishna, Rathod, Karthik M., Kumar, N. Shravan, and Reddy, K. Raja Narender

Subjects
DEGREES of freedom, ROBOTICS, MOTION detectors, THREE-dimensional printing, ARDUINO (Microcontroller)
Abstract

Now a days, there is an enormous requirement for the development of robotic arms having different number of Degrees of Freedom (DOF), which can be employed in human conditions. Robots are work profiles that have somehow become a replica to humans. In this project, a robotic arm is designed with 5 DOF's (3 translational and 2 rotational movements) which imitates human hand. Motion sensors are used to detect hand movements. A wireless communication module is used for transmission of hand gestures to the robotic arm. The parts of the Robotic arm were designed by using CATIA (V5 R21) software. Acrylonitrile Butadiene Styrene (ABS) is the material choosen for 3D printing of Robotic arm in order to obtain the required parts. A suction cup is used as the end-effector, which holds the objects with the help of vacuum motor. Vacuum mechanism works on the principle of Chameleon tongue. In order to acquire movement of Robotic arm as human sensitivity, Arduino programming is used. The usage of robots has been increasing gradually. Many industries and online marketers widely use robotic labour. This arm has its application in picking and placing objects of delicate and sensitive objects. [ABSTRACT FROM AUTHOR]

Published
2022

14. Assessment of Large Taxpayers’ Satisfaction with Tax Service Delivery System: A Study on Ethiopian Large Taxpayers’ Office, Ethiopia

Author

Reddy, CH. Venkata Krishna, Abay, Haftay Desta, Reddy, CH. Venkata Krishna, and Abay, Haftay Desta

Abstract

The main objective of the study is to assess the large taxpayers’ satisfaction with service delivery in Ethiopian Large taxpayers’ office. To achieve the objective, the mixed research approach was employed in order to counter balance the quantitative and qualitative data results of the study and sample data was collected from 298 large taxpayers’ by survey method. In survey method questionnaire and in-depth interview was used to collect the data. Quantitative data was analyzed by using descriptive and inferential analysis and thus, non parametric statistical test was used to test the hypothesis. Interview guides were designed to collect relevant information from tax officials and experts of the branch office. The collected data was analyzed by non- parametric test and correlation analysis with help of SPSS and Microsoft office excel. The result of the study revealed that service quality and delivery dimensions and complaints handling mechanisms have significant and positive correlation with large taxpayers’ satisfaction. Finally, a due attention should be given to service quality dimensions, complaint handling procedure and service delivery dimensions to increase large taxpayers’ satisfaction level in the branch office. Keywords: Large taxpayers’, Satisfaction, Service Quality, Service Delivery, Complaints Handling.

Published
2018

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