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Balachandran, K.
- Enhanced Data Security and Integrity using Contourlet Transform for Medical Images
Authors
1 Department of Electronics and Communication Engineering, Pondicherry Engineering College, Pillaichavadi – 605014, Puducherry, IN
Source
Indian Journal of Science and Technology, Vol 10, No 8 (2017), Pagination: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- Power Quality Improvement in Power System Using Multilevel Inverter under Non Linear Load Condition
Authors
1 Department of Electrical and Electronics Engineering, N.S.N. College of Engineering and Technology, Karur, IN
Source
Digital Signal Processing, Vol 10, No 5 (2018), Pagination: 83-85Abstract
The multilevel inverter reduces the harmonic contents and achieves sinusoidal signals. The hybrid active filter to achieve power quality compensation and active power filter with low power rating is used to filter the other higher order harmonics and power factor can also be improved. Almost near to unity with the help of shunt capacitors this system helps to improve the electrical supply quality. A Multilevel Inverter (MLI) is a power electronic device built to produce a desired A.C voltage from several levels of DC voltages.
Generally unbalanced voltages will occur at supply side these can be eliminated by using multi-level Inverter. Hence increase the efficiency of the system if the system stability problems or power quality issues which needs to be resolved and limited utilization and they operate at relatively low power level with respect to the designed power rating during most of long-term field operations High temperature peaks and variations on switching devices due to the intermittency which accelerates the degradation of the switching devices. To tackle the overloading issue, this system therefore proposes a hybrid power control concept with the objective to improve the system performance and increase the power factor of multilevel inverter and hence MATLAB simulation have been carried out.
Keywords
Multilevel Inverter, Higher Order Harmonics, Hybrid Power Control.References
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