1
|
Maharjan P, Alsadoon A, Prasad PWC, Al-Khalil AB, Jerew OD, Alsadoon G, Chapagain B. An enhanced algorithm for improving real-time video transmission for tele-training education. Multimed Tools Appl 2022; 81:8409-8428. [PMID: 35125927 PMCID: PMC8809212 DOI: 10.1007/s11042-022-12045-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 06/25/2021] [Accepted: 01/03/2022] [Indexed: 06/14/2023]
Abstract
Tele-training in surgical education has not been effectively implemented. There is a stringent need for a high transmission rate, reliability, throughput, and reduced distortion for high-quality video transmission in the real-time network. This work aims to propose a system that improves video quality during real-time surgical tele-training. The proposed approach aims to minimise the video frame's total distortion, ensuring better flow rate allocation and enhancing the video frames' reliability. The proposed system consists of a proposed algorithm for Enhancing Video Quality, Distorting Minimization, Bandwidth efficiency, and Reliability Maximization called (EVQDMBRM) algorithm. The proposed algorithm reduces the video frame's total distortion. In addition, it enhances the video quality in a real-time network by dynamically allocating the flow rate at the video source and maximizing the transmission reliability of the video frames. The result shows that the proposed EVQDMBRM algorithm improves the video quality with the minimized total distortion. Therefore, it improves the Peak Signal to Noise Ratio (PSNR) average by 51.13 dB against 47.28 dB in the existing systems. Furthermore, it reduces the video frames processing time average by 58.2 milliseconds (ms) against 76.1, and the end-to-end delay average by 114.57 ms against 133.58 ms comparing to the traditional methods. The proposed system concentrates on minimizing video distortion and improving the surgical video transmission quality by using an EVQDMBRM algorithm. It provides the mechanism to allocate the video rate at the source dynamically. Besides that, it minimizes the packet loss ratio and probing status, which estimates the available bandwidth.
Collapse
Affiliation(s)
- Pooja Maharjan
- School of Computing Mathematics and Engineering, Charles Sturt University (CSU), Sydney, Australia
| | - Abeer Alsadoon
- School of Computing Mathematics and Engineering, Charles Sturt University (CSU), Sydney, Australia
- School of Computer Data and Mathematical Sciences, Western Sydney University (WSU), Sydney, Australia
- Kent Institute Australia, Sydney, Australia
- Asia Pacific International College (APIC), Sydney, Australia
| | - P. W. C. Prasad
- School of Computing Mathematics and Engineering, Charles Sturt University (CSU), Sydney, Australia
- School of Computer Data and Mathematical Sciences, Western Sydney University (WSU), Sydney, Australia
- Kent Institute Australia, Sydney, Australia
- Australian Institute of Higher Education, Sydney, Australia
| | - Ahmad B. Al-Khalil
- College of Science, Department of Computer Science, The University of Duhok, Duhok, KRG Iraq
| | - Oday D. Jerew
- Asia Pacific International College (APIC), Sydney, Australia
| | - Ghossoon Alsadoon
- Business Informatics Department, AMA International University Bahrain (AMAIUB), Salmabad, Bahrain
| | - Binod Chapagain
- School of Computing Mathematics and Engineering, Charles Sturt University (CSU), Sydney, Australia
| |
Collapse
|
2
|
Shrestha K, Alsadoon OH, Alsadoon A, Rashid TA, Ali RS, Prasad P, Jerew OD. A novel solution of an elastic net regularisation for dementia knowledge discovery using deep learning. J EXP THEOR ARTIF IN 2021. [DOI: 10.1080/0952813x.2021.1970237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Kshitiz Shrestha
- School of Computing and Mathematics, Charles Sturt University (Csu), Wagga Wagga, Australia
| | | | - Abeer Alsadoon
- School of Computing and Mathematics, Charles Sturt University (Csu), Wagga Wagga, Australia
- School of Computer Data and Mathematical Sciences, University of Western Sydney (Uws), Australia
- Kent Institute Australia, Information Technology Department, Sydney, Australia
- Asia Pacific International College (APIC), Information Technology Department, Sydney, Australia
| | - Tarik A. Rashid
- Computer Science and Engineering, University of Kurdistan Hewler, Erbil, KRG, IRAQ
| | - Rasha S. Ali
- Department of Computer Techniques Engineering, Al Nisour University College, Baghdad, Iraq
| | - P.W.C. Prasad
- School of Computer Data and Mathematical Sciences, University of Western Sydney (Uws), Australia
- Kent Institute Australia, Information Technology Department, Sydney, Australia
| | - Oday D. Jerew
- Asia Pacific International College (APIC), Information Technology Department, Sydney, Australia
| |
Collapse
|
3
|
Thapa A, Alsadoon A, Prasad PWC, Bajaj S, Alsadoon OH, Rashid TA, Ali RS, Jerew OD. Deep learning for breast cancer classification: Enhanced tangent function. Comput Intell 2021. [DOI: 10.1111/coin.12476] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Ashu Thapa
- School of Computing and Mathematics Charles Sturt University (CSU) Wagga Wagga Australia
| | - Abeer Alsadoon
- School of Computing and Mathematics Charles Sturt University (CSU) Wagga Wagga Australia
- School of Computer Data and Mathematical Sciences University of Western Sydney (UWS) Sydney Australia
- Kent Institute Australia Sydney Australia
- Asia Pacific International College (APIC) Sydney Australia
| | - P. W. C. Prasad
- School of Computing and Mathematics Charles Sturt University (CSU) Wagga Wagga Australia
| | - Simi Bajaj
- School of Computer Data and Mathematical Sciences University of Western Sydney (UWS) Sydney Australia
| | | | - Tarik A. Rashid
- Computer Science and Engineering University of Kurdistan Hewler Erbil KRG IRAQ
| | - Rasha S. Ali
- Department of Computer Techniques Engineering AL Nisour University College Baghdad Iraq
| | - Oday D. Jerew
- Asia Pacific International College (APIC) Sydney Australia
| |
Collapse
|