Informatics Publishing Limited

K. Thilagam ¹, K. Jayanthi ²

Affiliations
1 Department of ECE, Pondicherry Engg. College, Puducherry, IN
2 Department of ECE, Pondicherry Engg. College, Puducherry, IN

Abstract

In recent years, the energy consumption in cellular network is a key issue from both environmental and economical aspects. As it accounts for larger energy use and therefore lowering their energy consumption appears to be beneficial from an economical perspective. This paper investigates a technique to dynamically turn off the base station with accuracy when their network traffic is low thereby optimizing the energy efficiency of a cellular wireless network. When some cells are switched off, their radio coverage and service provisioning are taken care of by the other cell that remain active, to guarantee that service is offered over the whole coverage area. The above discussed problem demands for a power efficient hybrid mechanism which is the combination of centralized and decentralized algorithms. With hybrid architecture, the base station is provided with distributed energy saving functions and OAM (Operation and Management) is enabled, to steer the process by configuring preferable network areas, time periods and load thresholds. An attempt is made in this work to propose the same and to analyse its performance. Simulations demonstrate the energy efficiency of the proposed scheme and its suitability can be estimated from an example scenario.

Keywords

Minimum Energy, Dynamic Base Station, Optimization, Hybrid System.

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G. Vallathan ¹, K. Jayanthi ²

Affiliations
1 Department of ECE, IFET College of Engineering, IN
2 Department of ECE, Pondicherry Engineering College, IN

Abstract

The paper proposes a hybrid image compression model for efficient transmission of medical image using lossless and lossy coding for telemedicine application. Since storage space demands in hospitals are continually increasing compression of the recorded medical images is the need of the hour. In medical images only a small part should be diagnosis. Hence Region based coding (RBC) technique is substantial for medical image compression. Since lossless & lossy compression is significant in order to achieve high compression. But the very high compression ratio refers to the quality of the image. Given a particular compression ratio, the quality of the image reconstructed using the Huffman coding for compression would be better. This paper presents a method of employing both methods Integer wavelet transform (IWT) and the SPIHT (set partitioning in hierarchical trees) algorithm helps to reconstruct the medical image up to the desired quality. Finally the performance of method will be evaluated using the parameters like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Quality factor and Compression ratio.

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B. Shoba ¹, T. Thamizhilakiya ¹, K. Jayanthi ¹

Affiliations
1 Department of ECE, Pondicherry Engineering College, Puducherry, IN

Abstract

Timing synchronization in an Orthogonal Frequency Division Multiplexing (OFDM) system must be performed efficiently and effectively to prevent inter-symbol interference (ISI) and inter-carrier interference (ICI). In this paper, a new training symbol based timing synchronization technique is proposed for OFDM systems for both outdoor as well as indoor environments and compared with the performance of existing time synchronization techniques. Simulation results are shown and it has been proved that, the proposed method outperforms the existing techniques.

Keywords

OFDM, Timing Synchronization, Orthogonality, Symbol Timing Offset, Inter Symbol Interference (ISI), Inter Carrier Interference (ICI), Training Symbol.

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G. Vallathan ¹, K. Balachandran ¹, K. Jayanthi ¹

Affiliations
1 Department of Electronics and Communication Engineering, Pondicherry Engineering College, Pillaichavadi – 605014, Puducherry, IN

Abstract

Objective: The objective of this framework is to analyze the security, compression ratio and integrity by using segmentation algorithm and transformation to extract the tumor region from MRI brain image and to observe its performance metrics. Methods/Statistical Analysis: This paper offers a futuristic healthcare solution to encompass of segmenting the ROI using Bhattacharya coefficient algorithms and successively applying the modified EMD steganography method centered on contourlet transform. This framework also challenges to verify the integrity of ROI using SHA-1, precisely senses any variation in ROI, furthermore, it ensures robustness of the entrenched data in non-region of interest and mends ROI perfectly for investigation. Lastly the whole image is encrypted with modified Logistic map encryption in order to afford overall security. Findings: This work recapitulates the contrast of distinct embedding algorithms viz. Least Significant Bit - Discrete Cosine Transform (LSB-DCT) and no-shrinkage F5-Integer Wavelet Transform (nsF5-IWT) with Improved Exploiting Modification Direction-Contourlet Transform (IEMD-CT) for embedding processes. The performance analysis of integrity check during transmission is verified using Secure Hash Algorithm 1 (SHA-1). Experimental endings deliberate Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Mean Square Error (MSE), Bit Error Rate (BER), Signal to Noise Ratio (SNR) as performance metrics and found the effectiveness of the proposed framework over conventional methods. Application/Improvements: This framework can be exploited in telemedicine applications in order to obtained with meticulousness in tumor location for effective healthcare services.

Keywords

Brain Tumor, Confidentiality, Contourlet Transform, Integrity, MRI Image, Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Tumor Extraction

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