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Shirgahi, Hossein
- A New Method in Determining the Degree of Similarity Using Symbols and Average Color Spectrum Characteristics
Abstract Views :386 |
PDF Views:104
Authors
Affiliations
1 Islamic Azad University, Jouybar Branch, Jouybar, Iran; 1Islamic Azad University, Sari Branch, Sari, IR
1 Islamic Azad University, Jouybar Branch, Jouybar, Iran; 1Islamic Azad University, Sari Branch, Sari, IR
Source
Indian Journal of Science and Technology, Vol 3, No 10 (2010), Pagination: 1094-1097Abstract
A lot of researches have been done about image processing these years. One of the most widely used fields is face recognition based on the appearance features. In this research, 250 samples of different people's faces have been taken in RGB mode as the input data and every image is changed to HSV colored mode. Then we calculate each image's symbols and the average colored of each symbol. Then we calculate the angles between applied symbols. In the next step we calculate the considered parameters based on symbols, average colored spectrum of symbols and the angles between them and they have been saved in the database. Finally, we determine the degree of similarity between images using features such as symbols, average colored spectrum of symbols and the angle between them. They were grouped as set. Based on the observed experimental results, this method's efficiency is 10 percent more than the method which is based on the symbol. Also it is more efficient 10.5 percent than the methods based on spatial and objective similarity or only based on the color.Keywords
Image processing, the average spectrum of color, HSV color mode, symbolic imagesFull Text
References
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- Punithaa P, Gurub DS (2008) Symbolic image indexing and retrieval by spatial similarity:An approach based on B-tree. Pattern Recognition. 41, 2068–2085.
- Shu Ming H and Chiun Chieh H (2008) Retrieval of images by spatial and object similarities. Information Processing & Management. 44, 1214–1233.
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- A New Method on Resource Management in Grid Computing Systems Based on QoS and Semantics
Abstract Views :432 |
PDF Views:109
Authors
Affiliations
1 Department of Computer Engineering, Islamic Azad University, Nowshahr Branch, Nowshahr, IR
2 Department of Computer Engineering, Islamic Azad University, Qaemshahr Branch, Qaemshahr, IR
3 Department of Computer Engineering, Islamic Azad University, Jouybar Branch, Jouybar, IR
1 Department of Computer Engineering, Islamic Azad University, Nowshahr Branch, Nowshahr, IR
2 Department of Computer Engineering, Islamic Azad University, Qaemshahr Branch, Qaemshahr, IR
3 Department of Computer Engineering, Islamic Azad University, Jouybar Branch, Jouybar, IR
Source
Indian Journal of Science and Technology, Vol 4, No 11 (2011), Pagination: 1416-1419Abstract
Resource management is very important and complex problems in grid computing environment. The resource management problem becomes complex when resources are distributed geographically, heterogeneous, dynamic and autonomous. There is a need to a grid that responds to various requests more quickly. In this paper, we have proposed a new method to optimize resource grouping based on Quality of Services (QoS) criteria such as delay, band width and semantics in order to select the resources more quickly and appropriately. These results show that the proposed method provides better results than existing approaches.Keywords
Quality of Service, Band Width, Semantic, Grid Computing, Resource ManagementFull Text
References
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- El-Darieby M and Krishnamurthy D (2006) A scalable wide-area grid. Resource management framework. In: Networking & Service. ICNS '06, pp: 76-79.
- Heine F, Hovestadt M and Kao O (2004) Towards ontology-driven P2P grid resource discovery. In: Proc. 5th IEEE/ACM Intl. Workshop on Grid Comput. (GRID’04), pp: 76 – 83.
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- Prodan R and Fahringer T (2006) Grid computing, experiment management, tool integration and scientific workflows. Univ. Innsbruck, Institute for comput. Sci., Springer.
- Somasundaram TS, Balachandar RA, Kandasamy V, Buyya R, Raman R, Mohanram N and Varun S (2006), Semantic-based grid resource discovery and its integration with the grid service broker. Adv. Comput. & Commun. 26, pp: 84-89.
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- Truong HL, Samborski R and Fahringer T (2006) Towards a framework for monitoring and analyzing QoS metrics of grid services. In: Proc. 2nd IEEE Intl. Conf. on e-Sci. & Grid computing.