At present, fractional differential is the effective mathematical approach which deals with the factual problems. This projected technique employs the fractional derivatives definitions Riemann-Liouville (R-L), Grunwald-Letnikov (G-L) and the caputo technique for denoising medical image. The presented method based on fractional derivative which in turn improves the quality of image. The input image is processed on integer order method such as pre-processing operation, image conversion and noise image. The fractional differential mask method is to be applied with the help of Riemann Liouville, and Caputo algorithm. After denoising the medical image enhanced using Anisotropic diffusion process and the result is analyzed to finally get denoised and predicted image.
In this work, we obtain an area proficient composite field arithmetic Advanced Encryption Standard (AES) Substitution (S) byte and its inverse logic design. The size of this design is calculated by the number of gates used for hardware implementation. Most of the existing AES Substitution box hardware implementation uses separate Substitution byte and its inverse hardware structures. But we implement the both in the same module and a control signal is used to select the substitution byte for encryption operation and its inverse for the decryption operation. By comparing the gate utilization of the previous AES S–Box implementation, we reduced the gate utilization up to 5% that is we take only 78 EX-OR gates and 36 AND gates for implementing the both Substitution byte and its inverse. While implementing an AES algorithm in circuitry or programming, it is liable to be detected by hackers using any one of the side channel attacks. Data to be added with a random bit sequence to prevent from the above mentioned side channel attacks.
Nowadays, VLSI technology mainly focused on High-Speed Propagation and Low Power Consumption. Addition is an important arithmetic operation which plays a major role in digital application. Adder is act as an important role in the applications of signal processing, in memory access address generation and Arithmetic Logic Unit. When the number of transistors increases in system designs, makes to increase power and complexity of the circuit. One of the dominant factors is power reduction in low power VLSI technology and to overcome the power dissipation in the existing adder circuit, MTCMOS technique is used in the proposed adder. The design is simulated in 90nm, 70nm, 25nm and 18nm technology and then comparison is made between existing and proposed system in the context of energy, area and delay. In this comparison, the efficiency metrics power and delay are found to be reduced 20% from the existing adder and the proposed adder is used for the design of low power multiplier.
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