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Bhat, J. S.
- Hybrid Image Compression using Modified Singular Value Decomposition and Adaptive Set Partitioning in Hierarchical Tree
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Authors
Affiliations
1 Department of Electronics, Kuvempu University Shankaraghatta, Shimoga – 577451, Karnataka, IN
2 Department of Physics, Karnataka University, Pavate Nagar, Dharwad – 580003, Karnataka, IN
1 Department of Electronics, Kuvempu University Shankaraghatta, Shimoga – 577451, Karnataka, IN
2 Department of Physics, Karnataka University, Pavate Nagar, Dharwad – 580003, Karnataka, IN
Source
Indian Journal of Science and Technology, Vol 10, No 28 (2017), Pagination:Abstract
Objectives: Image communication in web applications becomes handy because of highly developed compression tools. Human eye fixate on an image’s preview, carefully adjusting the quality and optimization settings until we’ve found that sweet spot, where the file size and quality are both the best they can possibly be. Method: This paper presents a new algorithm, which uses modified singular value decomposition (SVD) and adaptive Set Partition Hierarchical Tree (ASPIHT) for grayscale image compression. This hybrid method uses modified rank one updated SVD as a pre-processing step for ASPIHT to increase the quality of the reconstructed image. Findings: The high energy compaction in SVD process offers high image quality with less compression and requires a number of bits for reconstruction. On the other hand, ASPIHT compression also offers high image quality by coding more significant coefficients adaptively with high compression at specified bitrates. The proposed method is a combination of both SVD and ASPIHT for image compression and is tested with several test images and results are compared with those of SPIHT, ASPIHT without arithmetic coding and JPEG2000. Novelty: This method improves the quality of reconstruction without altering the compression rates of SPIHT algorithm. The tabulated results show significant improvement in PSNR at higher compression ratios as compared to other methods.Keywords
Adaptive Set Partitioned Hierarchical Tree, Image Compression, Rank One Updated Singular Value DecompositionFull Text
- Analysis of Wear Particles in Lubricating Oil of Worm Gearbox using Ferrography
Abstract Views :262 |
PDF Views:0
Authors
J. S. Bhat
1,
B. U. Sonawane
2
Affiliations
1 Department of Mechanical Engineering, K I T’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Production Engineering & Industrial Management, College of Engineering, Pune, Maharashtra, IN
1 Department of Mechanical Engineering, K I T’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Production Engineering & Industrial Management, College of Engineering, Pune, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 18, No 5 (2019), Pagination: 34-40Abstract
This paper aims to provide the ferrographic analysis of wear particles contained in Extreme pressure gear oil used in worm gearboxes. Working of worm gear box is simulated using an experimental test rig and oil analysis is carried out using Direct Reading (DR) Ferrography. The worm gearbox runs under normal operating conditions of load, speed and duration. DR Ferrography is one among the effective tool to analyze wear particles in lubricating oil. The analyses reveals that the wear particles indicate the performance of device based on wear particle concentration (WPC) and wear severity index (WSI) leading to the earliest advice of component breakdown and prevention of breakdown.Keywords
Lubricating Oil, Direct Reading Ferrography, Wear Particles, Worm Gearbox.
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