Dr. R. Anil kumar

Scopus Publications

Joint beamforming with RIS assisted MU-MISO systems using HR-mobilenet and ASO algorithm
U. Sreenivasulu, Shaik Fairooz, R. A. Kumar, Sarala Patchala, R. P. Kumar and Adireddy Rmaesh

THE INFLUENCE OF MOMENTUM AND CONCENTRATION SLIP BOUNDARY CONDITIONS ON A FERROMAGNETIC DIPOLE WITH RADIATION, THERMOPHORESIS, AND BROWNIAN MOTION
Nagagopiraju Vullam, Jupudi Lakshmi Rama Prasad, M. Aruna Kumari, Ramesh Adireddy, Y. Subba Rao, U. S. B. K. Mahalaxmi, R. Anil Kumar, G. Dharmaiah, Desamala Prabhakar Rao, and Sarala Patchala
Journal of Mechanics of Continua and Mathematical Sciences
A magnetic dipole effects nonlinear thermal radiation from ferromagnetic liquid when stretched provinces are analyzed numerically utilizing various parameters pertinent to the problem. Ferrofluid will undergo a phase shift and become magnetic when it is in a magnetic field. This technique is useful in various fields, including electronics, loudspeakers, and materials research. This research aimed to gain further knowledge about the one-of-a-kind continual flow of ferrofluids via permeable medium, including Brownian and thermophoresis influences. Ordinary differential equations may be generated using the appropriate similarity transformation. After that, the equations are solved by using the approach known as bvp4c. Calculations are carried out to obtain the results of physical parameters with non-dimension quantities. The effects of velocity, temperature, and concentration, as well as the applications of these factors, are shown graphically. The velocity is affected in various ways by two factors, namely, the ferromagnetic parameter and the distance. The concentration is increased due to both the thermophoretic and Brownian variables. The frictional force rises as the ferromagnetic and Brownian motion parameters increase, yet the Sherwood and Nusselt numbers decrease throughout this process.

Symbol Interference Cancellation in MIMO-GFDM Using Singular Value Decomposition Technique for 5G
R. Anil Kumar, Adireddy Ramesh, Srinivas Thirumala, Bahadursha P V V B Narasimha Rao, Surya Kala Nagireddi, and K. Kalyani
FOREX Publication
The Physical layer (PHY) is implemented with the new Generalized Frequency Division Multiplexing (GFDM) scheme to increase the throughput of wireless systems in the present communication era. The GFDM system is combined with Multi-Input and Multi Output antenna system (MIMO GFDM) to achieve higher channel capacity and low out-of-coverage probability. Therefore, the MIMO-GFDM system is suffering from internal Inter-Carrier-Interference (ICI) and external Inter-Symbol-Interference (ISI) at the receiver. This makes the receiver design more complex and challenging. Therefore, to cancel the symbol interference in the MIMO-GFDM system, we have proposed a Singular Value Decomposition (SVD) based Zero-Forcing detection scheme for future wireless communications. To decouple unwanted symbols from the transmitted signal, we employed the precoding technique at the transmitter section and the weighted beam forming technique at the receiver section. Furthermore, a famous Water Filling Algorithm (WFA). The proposed scheme reduces the bit error rate to 1.98×10⁻⁴ at 10 dB, outperforming existing detection methods. The WFA improves power allocation efficiency, enhancing channel capacity by up to 3.74 bps/Hz/u in 4x4 MIMO setups.

THE PERFORMANCE ANALYSIS OF PRECODED SPACE-TIME FREQUENCY MIMO-GFDM OVER RAYLEIGH FADING CHANNELS
R. Anil Kumar, Adireddy Ramesh, Sarala Patchala, U. Sreenivasulu, and R. Prakash Kumar
Journal of Mechanics of Continua and Mathematical Sciences
The physical layer is implemented in the present communication era with new multicarrier modulation schemes such as Generalized Frequency Division Multiplexing with Multi-Input and Multi-Output (MIMO-GFDM) antenna systems to achieve good spectral efficiency and diversity order. This paper presents precoded Space-Time-Frequency MIMO-GFDM performance analysis to improve the bit error rate performance without increasing transmission power and bandwidth compared to conventional techniques. The proposed system also enhances the diversity order over frequency selective fading channels. In general, we need to perform channel matrix inversion operations at the receiver or channel precoding matrix operations at the transmitter to detect the symbols of MIMO-GFDM systems. This paper's proposed scheme completes the same task without performing channel matrix inversion. Orthogonal transform techniques such as Haar, Harley, Walsh-Hadamard, and Slant transforms are used as precoders at the transmitter for the proposed scheme. The simulation results are validated on the MATLAB working platform. We have compared the bit error rate of the PSTF-MIMO-GFDM system with Space-Time (ST) and Space Frequency (SF) as baseline schemes and different orthogonal transform precoding techniques.

Accent Recognition of Speech Signal Using MFCC-SVM and k-NN Technique

CLOUD-BASED HUMAN AUTHENTICATION THROUGH SCALABLE MULTIBIOMETRIC IMAGE SENSOR FUSION

A low complexity enhanced squirrel search algorithm for reduction of peak to average power ratio in OFDM systems
R. Anil Kumar
Inderscience Publishers

Performance of MIMO-GFDM scheme for Future Wireless Communications
R. Anil Kumar, R. Prakash Kumar, Sarala Patchala, and U. Sreenivasulu
IEEE
Wireless Technology became more popular from couple of decades. Modern Technologies such as Mobile Broad Band Communications, Ultra Low Latency Communications and Internet of Things purely depends on Wireless technologies. The use of set of antennas at User Equipment and/or Base Station improves the User Capacity, Bit Error Rate, Spectral Efficiency and Data Rates. Current research on Generalized Frequency Division Multiplexing Technique combined with Multi-Input Multi-Output (MIMO Systems) gives good resource allocation and better signal strengths over the existing Orthogonal Frequency Division Multiplexing (OFDM). This paper explains the performance of MIMO-GFDM in an ultradense multipath environment with affordable complexity by considering Uplink scenario at User Equipment (UE). The simulation results such as Spectral Efficiency, User Capacity, Bit Error Rate and Data rates are calculated for different set of antenna systems.

Machine Learning-Based Renewable Energy Systems Fault Mitigation and Economic Assessment
Syed Ghyasuddin Hashmi, V Balaji, Mohamed Uvaze Ahamed Ayoobkhan, Mohammad Shabbir Alam, R. Anilkuamr, Neerav Nishant, Jyoti Prasad Patra, and A. Rajaram
Informa UK Limited

Optimum Power Forecasting Technique for Hybrid Renewable Energy Systems Using Deep Learning
Shashank Singh, V. Subburaj, K. Sivakumar, R. Anil Kumar, M. S. Muthuramam, Ravi Rastogi, Vishal Ratansing Patil, and A. Rajaram
Informa UK Limited

Design of Compact Triangle-Shaped MIMO Antenna with High Isolation for UWB Applications
G. Vasantha, Sanjeev Kumar, N. Radha, R Anil Kumar, and Kunal Srivastava
IEEE
For use in ultrawideband (UWB) applications, a small triangle-shaped monopole MIMO antenna is proposed in this article. The designed antenna is composed of two modified triangular monopoles with rectangular slots carved onto the ground plane. A partial ground plane is employed at the substrate's back side when using microstrip feeding, and it offers good impedance matching for desired UWB band applications. The designed antenna has a dimension of only 14 mm x 26 mm x 1.59 mm. The operating band of the antenna is 10.5 GHz (4.0 -14.5 GHz) and the isolation is below 17 dB. This UWB antenna's performance has been analyzed, taking into account the effect of varying the antenna's geometric parameters. Throughout the entire operating band, good impedance matching, acceptable radiation pattern, and radiation efficiency greater than 92 % are observed.

Scheduling in Multi-Hop Wireless Networks using a Distributed Learning Algorithm
Amit Jaykumar Chinchawade, S. Rajyalaxmi, Shashank Singh, R.Anil Kumar, Ravi Rastogi, and Mohd Asif Shah
IEEE
This study takes on the challenge of learning and scheduling in a Multi-Hop Wireless Network (MHWN) without having any prior knowledge of connection charges. Earlier scheduling methods needed knowledge of the connection rates, whereas Techniques for training often required a centralized authority and had an exponential performance. These represent a significant barrier to creating a reliable distributed strategy for resource allocation that relies on learning in massive multi-hop networks. Management of multihop control It is a tough task to implement wireless networks in a distributed fashion while meeting end-to-end timing constraints for a variety of flows. Using the notions of Draining Time and Continuous Review, which originate from the notion of fluid boundaries of queues, an algorithm is constructed that meets delay needs for various streams in a system. This study proposes a regulated maximal matching, a completely distributed scheduling algorithm that ensures at least 50% of the performance of a centralized method. The approach employs a distributed optimization procedure called iterative gradient ascent, which is carried out in a cyclic fashion between nodes with little data interchange. The system prioritizes flows using weights that change over time. The effectiveness of the algorithm is analyzed in a network setting where interruption is symbolized by isolated nodes.

Histogram Computation with a Reconfigurable Memory Based Fast VLSI Architecture
M.N.N.L. Sai Ramesh and R Anil Kumar
IOS Press
Computation of histogram is the primary work that used in digital image processing systems. Mutual Information is the best measurement that also used for image registration. Calculation of the mutual information requires obtaining separate and combining histogram of the two images. By the increase of the histogram size, the demand for the hardware resource for the computation of the histogram is increased. This paper about the computation of the memory-based VLSI architecture has been shown. The architecture of the computation of the histogram is existed by using the plotting in the field programmable field array. Parallelization of histogram functions is a major problem due to memory collisions. So, to avoid these collisions there is a new technique called parallel histogram computation used. To implement the parallel histogram, it is requiring dual–ported memory. By making the computation of the histogram fast, there are several benefits obtained. Some of the examples are texture classification, image compression, etc shown in this manuscript.

A Future Awareness for Healthcare Applications Using Data Mining
K. T. Sree, R Anil Kumar, and G. Rama Naidu
IOS Press
This research report showcases various data mining (DM) techniques such as Classification, Regression, and Clustering in brief and also discusses the aptest framework method for the healthcare industry, CRISP-DM. This report also explores the various data mining applications in the healthcare industry. DM is utilized to extract the data from a lot of information. DM includes two models, predictive and descriptive. Classifying data is to form classes either with the final objective of learning new antiques or searching new areas. This is why specialists have for many years tried to locate the enshrouded examples in the knowledge that can be classified and contrasted as well as other concepts which are the result of common principles.

An Analysis of Image Segmentation Methods
K. T. S. Lakshmi and R Anil Kumar
IOS Press
Image segmentation is a crucial stage in image processing because it allows for meaningful image analysis and information extraction. Image segmentation may be done in a variety of ways. This study examines a few of these approaches for grayscale images. MATLAB 8.1 was used to construct the paper. In order to analyze and extract information from these pictures, segmentation is essential. The segmentation of images has a promising future and has been the focus of modern study. The usual segmentation methods were addressed here: edge detection, clustering, and region growth. The problem with segmentation is that no one approach is suited for a certain type of picture, nor are all techniques applicable to all images.

Enhanced Particle Swarm Optimization based Node Localization Scheme in Wireless Sensor Networks
Shashank Singh, R. Poonkuzhali, G. Nithya, R. Anil Kumar, J. Kartigeyan, and S. Ramya
IEEE
Wireless sensor networks (WSNs) are widely examined recently because of their various applications in processes which has to scatter over a vast region. sensor's locations in WSNs generally must be known. WSN comprises great quantity of sensors thereby installing global position system devices in all of them does not accept. Some of the anchor nodes with well-known locations are generally utilized. Forecasting sensor node locations from radio strength signal index are regarded as a hard optimization issue. This article introduces an Enhanced Particle Swarm Optimization based Node Localization Scheme (EPSONLS) in WSN. The presented EPSONLS technique mainly aims to determine the location of the unknown nodes in the network. To do so, the presented EPSONLS model applies the PSO algorithm to identify the node position. In addition, the EPSONLS model determines the node location with the goal of minimizing localization error and time. An extensive-ranging experimental examination is performed and the outcomes are investigated under distinct prospects. The simulation outcome demonstrated the betterment of the EPSONLS model over recent approaches.

Optimal Extreme Learning Machine based Traffic Congestion Control System in Vehicular Network
Rajendra Kumar Bharti, D. Suganthi, S.K Abirami, Relangi Anil Kumar, B Gayathri, and S. Kayathri
IEEE
Over the past decade, Smart cities have been advanced and minimizing traffic congestion become the main concern in the progression of smart cities. The rapid growth in the number of road vehicles has raised the number of road accidents and traffic congestion. To Solve this problem, Vehicular Network (VN) formulated several novel concepts which include traffic control, vehicular communications, and navigation. Machine Learning (ML) will be an effective technique for identifying hidden insights into ITS without being programmed clearly by learning from data. This article develops an Optimal Extreme Learning Machine based Traffic Congestion Control System (OELM-TCCS) in vehicular networks. The presented OELM-TCCS technique mainly focuses on the identification and recognition of traffic congestion in VANET. To perform this, the presented OELM-TCCS technique primarily designs a new ELM model to carry out the classification process. In addition, the presented OELM-TCCS technique executes the satin bowerbird optimization (SBO) algorithm for parameter tuning of the ELM method. To demonstrate the boosted performance of the OELM-TCCS model, a series of experiments were executed. The experimental outcomes indicate the betterment of the OELM-TCCS method over recent methods with maximum accuracy of 99.17%.

Cardiac Surveillance System Using by the Modified Kalman Filter
Sabbella Urmila, R. Anil Kumar, and Mahesh K. Singh
Springer Nature Switzerland

Intertwine Connection-Based Routing Path Selection for Data Transmission in Mobile Cellular Networks and Wireless Sensor Networks
Vijay, Shams Tabrez Siddiqui, Ritu, Relangi Anil Kumar, Avinash Kumar, S. Umamaheswararao, Narahari Dudiki, Y. Venkateswara Reddy, and Kenenisa Dekeba
Hindawi Limited
In a network setting, a sensor node's round-trip delay time over hostile nodes compromises the node's ability to transmit data from the sender node to the destination node. Minimum distance path discovery causes the path failure, since aggressive nodes are available. Node connectivity is poor which should cause the packet loss; it does not control more energy consumption, since packet broadcasting is repeated for many times using that path. So, the proposed intertwine connection-based routing path selection (ICBRPS) technique allows only energy efficient routing path, path connectivity is important, and routing path is damaged because of the presence of aggressive nodes. It hacks the information from sensor and operates unpredictable manner. The objective of this presented ICBRPS scheme is to improve the routing path in efficient manner. If any damages occur during the transmission of data, then the alternate best node connectivity path is created by energetic route discovery method. The performance metrics of parameters are delay, network overhead, energy consumption, packet loss, packet delivery ratio, and connectivity ratio. It enhances the connectivity rate and reduces the energy consumption.

Enhanced Path Routing with Buffer Allocation Method Using Coupling Node Selection Algorithm in MANET
Rajendra Kumar Bharti, Soundarajan S, Sushma V. Sumant, C. Anand Deva Durai, Relangi Anil Kumar, Kamlesh Singh, Hemant Palivela, B. Rajesh Kumar, and Baru Debtera
Hindawi Limited
In a mobile network, nodes are placed in infrequent manner, which are moved along network in abruptly. Communication flaw between sender node and accepting node in path, the node having restricted energy and restricted transmission rate. It does not provide perfect route for communication among mobile nodes. It increases the packet drop rate and minimizes the lifetime of network. This work has proposed enhanced path routing with buffer allocation (IPBA) scheme which is implemented to obtain better communication; it protects the node from packet loss, and the buffer is used to maintain the temporary details of nodes and data packets that are ready to broadcast and receive. The coupling node selection algorithm is constructed to offer the path which frequently communicates data packets in normal case; the two efficient nodes are coupled with each other, and this type of nodes is selected to perform communication. It reduces the packet loss rate and increases network lifetime. End-to-end delay, communication overhead, throughput, network lifetime, packet loss, and energy consumption are the parameters considered for performance evaluations.

Performance analysis of an efficient linear constellation precoded generalized frequency division multiplexing with index modulation in 5G heterogeneous wireless network
Relangi Anil Kumar and K. Satya Prasad
Wiley
Nowadays, wireless accesses are demanded with new applications, but they generate many technical issues. Moreover, the issues related to the beyond fifth generation (5G) wireless networks can be tackled using an orthogonal frequency division multiplexing (OFDM) schemes. Due to the huge growth of wireless users, this scheme exists with some technical challenges. An enhanced radio access technology is required to tackle the technical constraints of upcoming 5G wireless network applications. Nowadays, the generalized frequency division multiplexing (GFDM) scheme is exploited by wireless networks because of their benefits like spectral efficiency, low latency, and out‐of‐band (OOB) emission. In this paper, a linear constellation precoded GFDM with interleaved quadrature index modulation (LCP‐GFDM‐IQIM) scheme is proposed to harvest extra diversity gain by spreading the information symbols in‐phase/quadrature component. Also, in‐phase/quadrature (I and Q) dimensions are explored in index modulation (IM). Both theoretical and simulation analysis shows that the proposed LCP‐GFDM‐IQIM scheme achieves better spectral efficiency and energy efficiency as compared to the existing methods.

Performance Analysis of GFDM Modulation in Heterogeneous Network for 5G NR
R. Anil Kumar and K. Satya Prasad
Springer Science and Business Media LLC

Circuits Based on the Memristor for Fundamental Operations
A. Nandini, R. Anil Kumar, and Mahesh K Singh
IEEE
The memristor, which is the fourth passive element that is lacking, is a nonvolatile device with two terminals. It promises advancement in future technology, which will aid in the reduction of power consumption, the reduction of cost, and the increase of performance of integrated circuits. This work presents a thorough investigation of memristor modeling through the use of Mat lab simulations. For the purpose of anticipating the behavior of the memristor device, we consider three different modeling strategies. In addition to the solid-state thin film memristor device, a spintronic memristor device based on magnetic technology was also simulated in this study. The fact that it has nanoscale geometry means that it is susceptible to process fluctuations during the fabrication process. The electrical behavior of the memristor deviates from the desired values as a result of process changes. As a result, the yield of a memristor-based memory design is lowered as a result. Also discussed in this study is a concrete model of a spintronic device that is based on the mechanism of magnetic-domain-wall motion and is described in detail.

Review of 5G Communications Over OFDM and GFDM
Pasupuleti Sai Deepthi, Vura Sai Priyanka, R. Anil Kumar, and Sanjeev Kumar
Springer Nature Singapore

Multi-point Data Transmission and Control-Data Separation in Ultra-Dense Cellular Networks
Krishna Pavani Karri, R. Anil Kumar, and Sanjeev Kumar
Springer Nature Singapore

Dr. R. Anil kumar

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Scopus Publications