iosr-JCE   Volume-1 ~ Issue-5

ABSTRACT : Advances in the data storage and image acquisition technologies have enabled the creation of large datasets. It is necessary to develop appropriate information systems to efficiently manage these collections. The most common approaches use Color-Based Image Retrieval (CBIR) system. The goal of CBIR system is to support image retrieval based on color. In a color based image retrieval system querying can be done by a query image. The goal is to find the images most resembling the query. In this work we mainly focused on color histogram-based method.
Keywords - Color based image retrieval system (CBIR), Color histogram, Query image

Journal Papers:
[1] P.S.Suhasini ,Dr. K.Sri Rama Krishna, Dr. I. V. Murli Krishna, CBIR using color hitogram processing, Journal of Theoretical and Applied Information Technology 6(1), 116 - 122
[2] Neetu Sharma, Paresh Rawat and jaikaran Singh, Efficient CBIR Using Color Histogram Processing, Signal & Image Processing , An International Journal(SIPIJ) ,2(1), 2011
Theses:
[3] Ole Andreas Flaaten Jonsgård, Improvements on colour histogram based CBIR, Department of Computer Science and Media Technology Gjøvik University College, 2005
[4] Shengjiu Wang, A Robust CBIR Approach Using Local Color Histograms,University of Alberta, October 2001.

ABSTRACT: Cryptography is essential for protecting information as the importance of security is increasing day by day with the advent of online transaction processing and e commerce. Public key cryptography is one of the most important types of cryptography. In public key cryptography the key has to be unique. There are two ways of key production, the first one is mathematical like AES, DES and the other one is based on the theory of natural selection. The work explores the different techniques of cryptography in order to prove that the natural selection based techniques are as good as the rigorous mathematical techniques. 12 papers and theses have been studied in order to reach the conclusion.
Keywords: Cryptography, Genetic Algorithms, Natural Selection, Public Key Cryptography, Vernam Ciphers

[1] ABDELSALAM ALMARIMI et al, A NEW APPROACH FOR DATA ENCRYPTION USING GENETIC ALGORITHMS, Published in: · Proceeding CERMA '10 Proceedings of the 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference
[2] Harsh Bhasin, Nakul Arora, Reliability Infocom Technology and Optimization 2010, Conference Proceedings pages 226- 230.
[3] Bethany Delman, Genetic Algorithms in Cryptography, MS Thesis 2004.
[4] Cellular automata computations and secret key cryptography Franciszek Seredynski, Pascal Bouvry, Albert Y. Zomaya Parallel Computing May 2004, Elsiver
[5] Corpuscular Random Number Generator. Harsh Bhasin, IJIEE 2012, Vol.2 (2): 197-199 ISSN: 2010-3719.
[6] Modified Genetic Algorithms Based Solution to. Subset Sum Problem. Harsh Bhasin computergrad.com. Faridabad, India. Neha Singla, IJARAI Vol1 (1).
[7] Menezes, A., van Oorschot, P., & Vanstone, S. (1997). Handbook of Applied Cryptography Boca Raton: CRC Press
[8] Norman D. Jorstad, CRYPTOGRAPHIC ALGORITHM METRICS, January 1997
[9] H. Bhasin and S. Bhatia, "Application of Genetic Algorithms in Machine learning", IJCSIT, Vol. 2 (5), 2011.
[10] Pisinger D (1999). "Linear Time Algorithms for Knapsack Problems with Bounded Weights". Journal of Algorithms, Volume 33, Number 1, October 1999, pp. 1–14
[11] Harsh Bhasin, "Use of Genetic Algorithms for Finding Roots of. Algebraic Equations", IJCSIT, Vol. 2, Issue 4.
[12] S. Thrun, "Learning to Play the Game of Chess", In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems(NIPS) 7, Cambridge, MA, 1995. MIT Press

ABSTRACT: In the field of RS and GIS, automated information extracted from topographic sheet or reference map plays a pivotal role in assisting researchers in performing various inferential analyses that aids in making qualitative as well as quantitative assessment of the features. Such automated procedures tremendously reduces time and effort requirement compared to that of traditional manual techniques. This work aims at associating stream order for vector hydrograph using spiral traversal technique that reduces time complexity from O(n2) to o(n). Keywords: Digitization, Horton's stream order, Spiral Traversal, Stream, Vector hydrograph.

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[4]. Cho, H. et al., Extraction of streams channels in High- Resolution Terrain Images using Morphology, in proc. of International conference on Geoscience and Remote Sensing symposium, pp. 1078-1081,2006.
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[6]. Ratika Pradhan et al., Automatic Extraction of Drainage Pattern from Topographical Sheets and Initialization of Stream Orders, International Journal of Computer Applications in Engineering, Technology and Sciences, Vol. 3, Issue 1, pp. 72-77, 2010.
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