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Your search keyword '"Rajesh, R.S."' showing total 38 results
Start Over Author "Rajesh, R.S." Publication Year Range Last 50 years
38 results on '"Rajesh, R.S."'

30. Lossless fragile pinpoint authentication scheme for medical images.

Author

Poonkuntran, S. and Rajesh, R.S.

Abstract

This paper proposes an imperceptible, reversible watermarking scheme based on messy system for the authentication of medical images. The digital fundus images are one particular class of medical images which has been chosen for simulation and analysis of the proposed scheme in this paper. These images were given in TIF format in RGB color space. The proposed scheme dynamically generates the watermark using messy models. And, it is embedded inside the image by expanding intra plane difference between any two color planes of images. It is known as intra-plane difference expanding. The experimental results shown the improvement in the imperceptibility by 15% and 30000 bits were found as the maximum possible size of the watermark with good level of the imperceptibility which is above 60dB at an average. Moreover, the proposed scheme maintained the detection accuracy rate at 100% without any loss in the process. The proposed scheme is very sensitive to the jittering, geometrical and various filtering attacks; thereby it modifies around 40% of the watermark for jittering and geometrical attacks and around 45% of the watermark for filtering attacks at an average and which are sufficiently large enough to ensure the better security for the authentication of medical images. [ABSTRACT FROM PUBLISHER]

Published
2012
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36. Particle swarm intelligence for Channel Assignment Problem in mobile cellular communication system

Author

Malar Dhas, Julia Punitha and Rajesh, R.S.

Abstract

This paper deals with the Channel Assignment Problem (CAP) in a hexagonal cellular network. The CAP in cellular network is known to belong to the class of Non Deterministic Polynomial (NP) complete optimisation problems. This problem is being solved by tools like simulated annealing, neural networks, Genetic Algorithm (GA) and other heuristic methods. In this paper, a Modified Particle Swarm Optimisation (MPSO) algorithm has been developed for CAP. The proposed approach mainly focuses on accelerating the convergence speed. The performance of the proposed approach is analysed by applying it to a well-known benchmark problem. The result of MPSO algorithm shows that the proposed technique is an attractive one than the other existing techniques.

Published
2012
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37. Combined-transforms-based robust colour image watermarking schemes

Author

Rajesh, R.S.

Abstract

In this paper, two combined transforms are explored for colour image watermarking namely: Discrete Wavelet Transform?Fan Beam Transform (DWT-FBT); Spatio-Chromatic Discrete Fourier Transform?Fan Beam Transform (SCDFT-FBT). In the first approach, a host image is subject to DWT and FBT is applied after careful selection of the suitable band of wavelet coefficients. Watermarking is done by altering the fan beam transformed coefficients. Hence, this domain is termed as DWT-FBT domain. In the second approach, watermarking is done on selected SCDFT coefficients that are transformed using FBT and hence termed as SCDFT-FBT. The DWT-FBT domain shows superior performance than SCDFT-FBT domain in its resistance to compression, cropping, colour conversion and rotation. Results of the proposed combined transforms are compared with the two existing DWT-DCT domain watermarking schemes to show their effectiveness.

Published
2010

38. Empowering Light Fidelity-Enabled Internet of Things with Hybrid Fuzzy-Particle Swarm Optimization Power Allocation for Enhanced Energy Efficiency and Quality of Service.

Author

ArunMozhi Selvi, S., Preethi, E, Ananth kumar, T., and Rajesh, R.S.

Abstract

This paper proposes a hybrid fuzzy-Particle Swarm Optimization (PSO) approach for power allocation in bidirectional Light Fidelity (LiFi)-enabled Internet of Things (IoT) communication systems. The approach integrates fuzzy logic and PSO to achieve efficient and robust power allocation, considering energy efficiency and Quality of Service (QoS) requirements. The hybrid approach leverages flexibility of fuzzy logic to handle uncertainties and variations in system parameters, such as channel conditions and QoS requirements. Fuzzy sets and membership functions are defined to represent linguistic variables, and fuzzy rules are formulated based on expert knowledge and system-specific considerations. This allows the approach to adaptively adjust power allocation based on varying channel conditions and QoS requirements, enhancing the robustness of the power allocation strategy. The PSO algorithm is employed for iterative optimization to explore for ideal power allocation solution. The particles in swarm signify possible power allocation configuration, and its position in the search space corresponds to a specific power allocation. The particles update their positions based on local best-known positions and globally best-known positions, allowing the swarm to converge toward the optimal solution. Through extensive simulations and analysis, the proposed hybrid fuzzy-PSO approach is evaluated with regard to energy efficiency and QoS satisfaction. The results demonstrate its effectiveness in achieving energy-efficient power allocation while meeting diverse QoS requirements. The proposed approach outperforms existing methods such as channel- and Orthogonal Multiple Access (OMA)-based power allocation schemes. [ABSTRACT FROM AUTHOR]

Published
2024
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