Mittapalli VENKATA Nageswara Rao

Mittapalli VENKATA Nageswara Rao
GMR Institute of Technology | GMRIT · Department of Electronics & Communication Engineering

PhD

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16
Publications
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47
Citations

Publications

Publications (16)
Chapter
Deep learning algorithms are playing a vital role in wide range of Artificial Intelligence-based applications. Since the CPU/GPU-based solutions are not suitable for low power applications like IoT due to their high-power requirements, a dedicated hardware called hardware accelerator is needed for a given AI-based processing. Further, the hardware...
Article
In the present scenario, Indian railways are using different embedded systems like data loggers, fault analysis system for the analysis and logging of the different parameters and the status of the station assets. Sometimes these systems need to update the firmware to fix the Bugs and enhance the functionality of the system. It is very difficult to...
Article
This paper presents the removal of high density salt and pepper noise in gray scale Images using fuzzy based median filter (FBMF) algorithm. FBMF replaces the noisy pixel by median value when 0's, 255's and other pixel values are present in the chosen window and when all pixel values are either 0's or 255's, or combination of these, then the noise...
Article
Addition is the heart of arithmetic unit and the arithmetic unit is often the work horse of a computational circuit. So adders play a key role in designing an arithmetic unit and also many digital integrated circuits. Carry Select Adder (CSLA) is one of the fastest adders used in many data processors and in digital circuits to perform arithmetic op...
Article
Finger print recognition process involves many trigonometric evolutions. CORDIC based evolution of trigonometric functions is possible. In this paper CORDIC based architecture is proposed to evaluate the trigonometric or inverse trigonometric functions like sinθ, cosθ. Proposed architecture is partitioned into two main blocks: Magnitude generator a...
Article
Full-text available
Fingerprint recognition is one of the most popular methods used by Biometric identification systems for personnel identification. CORDIC algorithm provides wonderful solution to perform the math intensive operations at the cost of few components like adder, shifter, multiplexer.Etc. Such math intensive operations are required to perform during the...
Conference Paper
Full-text available
A vision-based pedestrian and car tracking system which is able to distinguish between car and pedestrian is possible using Morphological processing and Blob analysis. Videos are sequence of image frames. Here the algorithm is developed to analyse a frame and the same will be applied to all frames in a video. The unwanted objects in video frame can...
Article
Full-text available
This paper presents the design of Discrete Frequency Coded (DFC) sequences with good auto correlation properties using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique. The cross-ambiguity function method is used to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambig...
Article
This paper presents the design of polyphase (28-phase) sequences with high discrimination factor (DF) using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique and the cross-ambiguity function method to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambiguity function ar...
Article
The aim of this paper is to explore the binary sequences with high discrimination using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique. The cross-ambiguity function method is used to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambiguity function are computed as a...
Conference Paper
This paper presents a new approach for the classification of non-stationary signal patterns in an electric power network using a modified wavelet transform and neural network. The wavelet transform is phase corrected to yield a new transform known as S-transform, which has an excellent time-frequency resolution characteristic. The phase correction...
Conference Paper
This paper intends to propose a novel clustering method based on ant colony (AC) algorithm. A new approach called TT-transform based time frequency analysis is used in processing the non-stationary power signal disturbances. The time-time transform is the inverse Fourier transform of S-transform. The proposed model is demonstrated using feature vec...
Conference Paper
The authors present a classification of fiber-optic sensors based on modulation, with particular focus on one of the more stringent application areas of fiber-optic sensors, which is in avionics. Intensity modulation sensors, frequency modulation sensors, phase modulation sensors, wavelength distribution sensors, and polarization modulation are con...

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