- Advanced MIMO Systems Optimization
- Cognitive Radio Networks and Spectrum Sensing
- Wireless Communication Networks Research
- Blind Source Separation Techniques
- Metaheuristic Optimization Algorithms Research
- Physical Unclonable Functions (PUFs) and Hardware Security
- Evolutionary Algorithms and Applications
- Video Coding and Compression Technologies
- Chaos-based Image/Signal Encryption
- Inertial Sensor and Navigation
- Autonomous Vehicle Technology and Safety
- Advanced Adaptive Filtering Techniques
- Image and Video Quality Assessment
- Geophysics and Gravity Measurements
- Integrated Circuits and Semiconductor Failure Analysis
- Internet of Things and AI
- Earthquake Detection and Analysis
- Microgrid Control and Optimization
- Advanced Malware Detection Techniques
- Ionosphere and magnetosphere dynamics
- Neuroscience and Neural Engineering
- Brain Tumor Detection and Classification
- Advanced Steganography and Watermarking Techniques
- GNSS positioning and interference
- Security in Wireless Sensor Networks
Koneru Lakshmaiah Education Foundation
2016-2023
Indian Institute of Technology Hyderabad
2017-2020
Narayan Medical College and Hospital
2020
Enam Medical College & Hospital
2020
University of Hyderabad
2012-2015
Pseudorandom number generators (PRNGs) play a pivotal role in generating key sequences of cryptographic protocols. Among different schemes, simple chaotic PRNG (CPRNG) exhibits the property being extremely sensitive to initial seed and, hence, unpredictable. However, CPRNG is vulnerable if compromised. In this brief, we propose novel physical unclonable function-based (PUF-CPRNG), where secured by it from PUF. Furthermore, proposed PUF-CPRNG includes dynamic refreshing logic ensure that...
Forecasting of total electron content (TEC)/global positioning system (GPS) signal delays in storm conditions is considered the most challenging task for accurate position estimation, especially critical applications. Therefore, a storm-time ionospheric model proposed to forecast TEC based on artificial neural network (ANN) using singular spectrum analysis (SSA). The study area covers four Global Navigation Satellite System (GNSS) stations located low-latitude and two GNSS mid-latitude...
The advancement of Internet Things (IoT) -based computing platforms open novel possibilities for exploring and leveraging Global Navigation Satellite Systems (GNSS). This work utilizes machine learning models discusses the application IoT scenarios ionospheric monitoring forecasting systems. A workflow effectiveness end-to-end solution in navigation applications through results obtained from Successive Variational Mode–Decomposition– Kernel Extreme Learning Machine (SVMD–KELM) method, which...
In this study, a scalable coprocessor for accelerating the Differential Evolution (DE) algorithm is presented. The interfaced with PowerPC embedded processor of Xilinx Virtex-5 FX70T Field Programmable Gate Array. proposed design, DE module tightly coupled fitness function to reduce communication and control overhead. fixed point implemented in whereas both floating are processor. Performance evaluated by optimising benchmark functions different complexities. implementation results show that...
In the existing literature forced termination probability is analyzed after completion of spectrum allocation (SA) process. Since depends on results, it necessary to take into account during this paper, a two dimensional Markov model used for analyzing access. The process assumes mean arrival time primary and secondary users calculates probability. current work, considered as one objective function along with three network utility functions namely Max-Sum-Reward, Max-Min-Reward...
Cognitive radio is a promising technology for efficient spectrum utilization. It explores dynamic access features while satisfying interference constraints. In this work, joint power and allocation algorithm proposed to maximize the cognitive network throughput constraints of both primary secondary users in network. Evolutionary algorithms are used solve problem. Furthermore, algorithmic performance compared terms quality solution. And also we optimized maximum utilization capacity each user...
Nowadays Vehicle Ad hoc Networks have an interesting research and application area in real time scenario. Vehicles are embedded with smart sensors, processing ability wireless communication capabilities will lead to efficient development of road safety, comfort, information sharing control while on the road. In this paper, traffic related issues like signal jumps, expiry RCs, Pollution status etc., can be identified corrective actions initiated. This system also used for other applications...
The proposed work aims to design a Wavefront Parallel Processing (WPP) based streaming Deblocking Filter (DBF) architecture for High-Efficiency Video Coding (HEVC). This supports scalable pipeline stages such as 1, 2, 4 and 8 with Unit (CU) sizes, i.e., 8×8, 16×16, 32×32 64×64 Largest (LCU) processing respectively. Based on the requirements of speed area consumer electronic application, one aforementioned sizes CU or LCU is selected. hardware uses an intelligent Memory Organization (MO) WPP...
Differential Evolution (DE) is a meta-heuristic algorithm widely being used for solving optimization problems. The computation time of the DE scales up with complexity This limits its usage in real embedded applications. work compares execution floating point implemented on 32-bit PowerPC440 (PPC440) and MicroBlaze (MB) processors. Further, hardware accelerator SoC compared unit (FPU) enabled PPC440 processors operating at 125 MHz. For performance comparison, three benchmark test functions...
Deep learning and Machine Learning Algorithms has become the most popular method for analyzing extracting features especially in medical images. And feature extraction made this task much easier. Our aim is to check which technique works best a classifier. We used Ophthalmic Images applied techniques such as Gabor, LBP (Local Binary Pattern), HOG (Histograms of Oriented Gradients), SIFT (Scale-Invariant Feature Transform), where obtained are passed through classifiers RFC (Random Forest...
The rapid advancement of technology has led to the pervasive presence electronic devices in our lives, enabling convenience and connectivity. Cryptography offers solutions, but vulnerabilities persist due physical attacks like malware. This emergence Physical Unclonable Functions (PUFs). PUFs leverage inherent disorder systems generate unique responses challenges. Strong PUFs, susceptible modeling attacks, can be predicted by malicious parties using machine learning algebraic techniques....
In this paper, a hardware solution for multi-objective differential evolution (MODE) algorithm is presented. The proposed developed as co-processor and interfaced with PowerPC440 processor of Virtex-5 field programmable gate array to accelerate execution speed on an embedded platform. It validated by optimising four standard benchmark functions its time compared the same running 32-bit processor. Further, case study, used solve Spectrum Allocation (SA) problem in Cognitive Radio Network...
DM3730 processor is fabricated on single chip Texas Instrument's advanced 45-nm technology with improved performance. ARM architecture provides best Graphics less power consumption. 1GHz comes in 0.4mm pitch POP (Package Package) memory mounted top of the processor. Debugging at hardware/software level necessary for developing an efficient system. Image Processing application requires, Camera, Speakers, GSM module, keyboard, mouse, internet connection installing required software's, hence...
Scan based attacks are the major security concerns of a design. These majorly employed to understand camouflaged logic during reverse engineering. The state- of-the-art techniques like scan chain scrambling hinder accessibility chains, but prone layout level engineering attacks. In proposed methodology, design is secured by adding an extra input port (DSI) flipflop using dummy contacts, which ensure that DSI cannot be distinguished from SI even with techniques. Dummy connections introduced...