Dr. K Gopalakrishna
@jyothyit.ac.in
Principal,
Jyothy Institute of Technology, Bangalore
Gopalakrishna K holds a Master’s in mechanical engineering, having specialized in production engineering from the University of Mysore, and a Ph.D. in polymer tribology from NAL-VTU. He has an experience of more than 30 years in academics and research. In addition to tribology, his research and teaching interests include pneumatics and hydraulics, thermal engineering and engineering drawing. He is certified by industry major FESTO in the domain of mechatronics and has executed projects that have resulted in five patent filings. With significant research publications in reputed Scopus / Thomson Reuter indexed journals and a monograph to his credit, he has been active in developing autonomous systems for surveillance funded by Naval Research Board-DRDO, coating systems for RP Components by ISRO-DOS, and others.
EDUCATION
Ph.D. in Polymer Tribology from NAL-VTU.
RESEARCH INTERESTS
Mechanical Engineering, Bio-composites,Polymer tribology,
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Sharath Kumar Basavaraju, Gireeshkumar Basavaraj Chavati, Malashri Boraiah Sannaobaiah, Handanahally Basavarajaiah Muralidhara, Arthoba Nayaka Yanjerappa, Krishna Venkatesh, and Keshavanarayana Gopalakrishna
American Chemical Society (ACS)
N. V. Balaji, Madhur Grover, T Vignesh, Kanika Seth, K Gopalakrishna, and Vikas K. Kolekar
IEEE
The motive of this technical summary is to have a look at the performance of interference-conscious routing protocols for wireless Mesh Networks (WMNs). Interferenceconscious routing models help to lessen interference among WMN nodes associated with transmissions at the identical frequency channel. This type of interference can degrade the throughput of a network and reduce communication performance. The efficacy of a routing protocol is typically measured via parameters consisting of packet transport ratio, throughput, and end-to-stop delay. This AC will compare and assess unique algorithms for interference-conscious routing and evaluate their overall performance in terms of these parameters. Initial simulations will be carried out on diverse topologies of WMNs to determine the effect of interference-aware routing protocols on packet delivery ratio, throughput, and stop-to-stop put-off. The outcomes may be used to put together an assessment among exceptional algorithms and determine the most effective technique. In addition, the abstract will discover approaches to optimize the layout of interference-conscious routing protocols to attain the most green conversation overall performance. Subsequently, the paper will finish with a dialogue of capability demanding situations and important future studies guidelines in this area.
K Gopalakrishna, Laxman Sahoo, R. Arunadevi, Namrata N. Wasatkar, Girija Shankar Sahoo, and Dhiraj Singh
IEEE
Mobile device protection has emerged as an increasingly important difficulty as more and more customers depend upon wireless networks for everyday conversation and other duties. Wi-Fi networks offer convenience and versatility for users; however, they also come with safety worries. This paper presents an overview of the safety-demanding situations related to Wi -Fi networks, discusses safety issues related to cellular devices, and offers more than a few answers for creating cozy cell surroundings. It focuses on defensive person identification, privacy, statistics, and defending against possible malicious activities. Primarily, the paper explores security solutions, encryption, authentication, community access control, and tool control. Moreover, it appears on the role of service carriers in cell tool protection and shows an aggregate of quality practices and generation to sell secure usage. Finally, the paper recommends persevering with studies to identify new threats and answers to decorate mobile safety similarly.
Mukul Pandey, Shiv Shankar Shankar, and K Gopalakrishna
IEEE
Self-sustaining routing algorithms for Unmanned Aerial Vehicle (UAVs) enabled telecommunications structures can offer a low-cost and strength-efficient answer for community controllers. However, these algorithms ought to be evaluated so as to discover their weaknesses and strengths and to understand their viability to be used in such networks. This paper provides an assessment of numerous autonomous routing algorithms with admiration for their overall performance measures associated with the hyperlink pleasant, latency, and packet transport ratio. The authors investigated and compared the performance of numerous routing algorithms, inclusive of the Dynamic supply Routing (DSR), the Ado On-demand Distance Vector (AODV), the Optimized link state Routing (OLSR), and the area Routing Protocol (ZRP) for UAV-enabled telecommunications networks. To assess these algorithms, the authors hired actual-world datasets of UAV trajectories obtained from the NRMA visitor’s Telematics Dataset in combination with the COMSNET simulator. The effects of the have look showed that the DSR executed better than the AODV and the OLSR in phrases of latency and packet shipping ratio, at the same time as the ZRP executed first-rate in phrases of hyperlink best measurements. However, further evaluation discovered that the AODV and the OLSR had superior overall performance beneath varying mobility styles. In addition, the authors discovered that the wide variety of nodes and the terrain analysis of the community affected the performance of the algorithms differently.
K. Gopalakrishna, Bhirgu Raj Maurya, Rajeev Kumar, Sushila Arya, Himanshi Bhatia, and Ankur Gupta
Wiley
K Gopalakrishna, Urvashi Thakur, and Vishvendra Singh
IEEE
The electromagnetic subject (EMF) publicity related to network connections remains a vital protection difficulty in nowadays notably related global. This paper offers a way to quantify EMF publicity stages for one-of-a-kind networking. The developed approach takes into consideration diverse environmental factors, including the kind of materials present inside the surroundings, the gap among additives, and the power of the relationship. Effects display that the EMF ranges rely strongly upon the particular setup, highlighting the want for similar investigation and attention to environmental elements while deploying community connections. The methodology provides a basis for future researchers to expand greater state-of-the-art models and improve the accuracy of EMF exposure assessments.
Manish Srivastava, K Gopalakrishna, A Mohamed Jaffar, C Santhosh Kumar, Jayashree V. Bagade, and Preeti Naval
IEEE
This technical abstract search for a court between synthetic Intelligence (AI) and statistics technology (DS). We analyze and survey the regions wherein the two fields overlap. We determine the current kingdom of both AI and DS from their respective historical sequences and discuss the capability possibilities among them. We look at how they complement each other and which new technologies can get up from the combination of both. We also look into the ethical implications of such technologies and how AI can help enhance DS studies. Subsequently, we speak of viable software situations in a selection of domain names.
Gireeshkumar Basavaraj Chavati, Sharath Kumar Basavaraju, Arthoba Nayaka Yanjerappa, Handanahally Basavarajaiah Muralidhara, Krishna Venkatesh, and Keshavanarayana Gopalakrishna
American Chemical Society (ACS)
Mohit Kumar Sharma, Gopalakrishna K, and Aarsi Kumari
IEEE
Latest advances in records generation have enabled virtual signatures for use in a variety of net-primarily based and network-primarily based applications. Digital signatures are used to authenticate the identity of a user, as well as to affirm the integrity and facts confidentiality of the transmitted information. However, virtual signatures are a challenge to numerous safety and overall performance problems, some of which may be exploited by malicious attackers. This paper seeks to study the performance of digital signature algorithms in a diffusion of records protection fashions implemented in networking programs. The paper will, in particular survey, present digital signature algorithms used for authentication and encryption of statistics in networking applications, as well as contemporary studies associated with enhancing their security and overall performance. Furthermore, the paper will identify the top-of-the-line algorithms and fashions encouraged for use in specific eventualities and applications. Moreover, the paper will analyze the usability of these fashions in phrases of their complexity, scalability, and user requirements. Eventually, the paper will gift future research directions and guidelines for similarly enhancing the safety and performance of digital signatures in the context of networking programs.
N. Thangarasu, Amritpal Sidhu, Shalini M, Romil Jain, Gopalakrishna K, and Suruchi Gaurav Dedgaonkar
IEEE
Internet of Things has emerged as a vital technology that connects a variety of devices to enable the seamless exchange and processing of data. Nevertheless, the extensive and diverse character of IoT environments presents substantial security challenges, requiring the implementation of security mechanisms that are both efficient and robust. This paper suggests a novel method for improving the security and performance of IoT by combining Hybrid Gravitational Search Algorithm Optimisation (HGSAO) with Fuzzy Logic-based Secure Cluster Formation. The three-tier architecture that has been developed for this purpose includes mutual authentication, secure cluster formation, and optimal path selection. The methodology guarantees an optimal equilibrium between security and performance by reducing computational complexity and energy consumption. The efficacy of the proposed system in the secure and efficient management of IoT networks is underscored by its superior packet delivery ratio and throughput in comparison to existing methods.
Gopalakrishna K and Vinaykumar SB
AIP Publishing
Savita, Sowmya C S, and Gopalakrishna K
IEEE
Using software robots that communicate with systems via their user interfaces, robotic process automation (RPA) attempts to automate corporate operations while increasing efficiency and cutting costs. To prevent inefficiencies,choosing the appropriate procedures for RPA automation is essential. This study offers a method for examining RPA development in corporate settings. Design, methodology, and approach: To pinpoint the key ideas behind RPA, this research undertakes a thorough literature assessment. It suggests a model linking these ideas and assesses its viability using Design Science Research (DSR) analysis of previous RPA case studies. Findings- The study shows that several of the key RPA ideas outlined in the literature analysis are absent from a number of case studies.
Aruna Dore, Gopalakrishna K, and Trapty Agrawal
IEEE
Fuzzy logic has become a widely used alternative in control systems because of its inherent advantages, such as robustness. Despite this, the Type-2 fuzzy reasoning approach has gained popularity lately, particularly in applications for processing of images. It enables for addressing the uncertainty of models. In order to investigate how Type-2 Fuzzy Logic Controls (FLCs) impact operator sales, this research compares Period Type-2 and Generalized Type-2 FLCs. Using several standard testing facilities, the study evaluates performance metrics like completion time, integral squared deviation, integrated absolute mistake, and integrated times-weighted actual mistake. The outcomes of the experiment are used to offer selection criteria for choosing amongst several fuzzy logic controls based on effectiveness and processing time demands.
A Pratima, K GopalaKrishna, and S N Prasad
IOP Publishing
Abstract Cardiac Arrhythmia (CA) is a disorder of heartbeat or rhythm, that happens when the electrical signals that synchronize the heartbeats do not function properly. The Electro Cardio Gram (ECG) is the electrical realization of the expanding and contracting action of the heart and can be registered easily with the electrodes placed near the chest. Hence, due to the complexity of analyzing the huge number of signals in ECG records, it has become one of the major challenges to cardiologists to make early and accurate diagnoses and prognoses. Therefore, there is an essential need for accurate automatic arrhythmia classification. According to the records of the World Health Organization (WHO), 4.5 million CA patients are reporting alone in the United States. Therefore, it is stated as one of the most common reasons for death worldwide and it is very essential to the early diagnosis and prevention of CA. Hence, this research article mainly focuses to analyse the various methods used for the classification, early diagnosis, and prevention of CA. This research presents the overview of a few research articles suggesting different methods based on various fields like IOT, Machine Learning (ML) approaches, Deep Learning (DL) approaches, and so on for the automatic detection of Cardiac Arrhythmia. The literature work mainly focuses on various early Detection, prediction, and classification techniques for CA. The research gaps were also analyzed from these papers and elaborated for further research work which can be helpful for society.
Subramanian Sundar, K. Gopalakrishna, and N. Thangadurai
Inderscience Publishers
K. Gopalakrishna, Narendra Reddy, and Yi Zhao
Springer International Publishing
Nagraj Patil, K. Gopalakrishna, and B. Sangmesh
Universiti Malaysia Pahang Publishing
The cutting tool in the machining process plays an important role as it acts on the working material. There are a few methodologies have been persued to improve tool life, for example traditional cooling, single layer coating, multilayer coating, heat treatment process, nitrogen cooling and latest being the cryogenic treatment which reported a significant improvement in cutting tool life, chip morphology, reduction in heat generation. Hence, the cryogenic treatment is emerged as the sustainable machining process. This paper presents machining of AISI 304 steel using both cryogenic treated (CT) and untreated (UT) cutting tool insert. The commercially available uncoated carbide insert has been cryogenically treated at -196°C for 24 hours soaking period. The machining test has been conducted under four different cutting speeds. The material characterization of cutting insert is studied by using scanning electron microscopy (SEM), hardness test, and microscopic image analysis has been carried out before and after cryogenic treatment. The cutting tool performance is assessed in terms of of wear, cutting temperature, chip morphology, surface roughness under the influence of cryogenic machining and the results are contrast with UT one. The exploratory findings reveals that the deep cryogenic treatment (DCT) with 24 hours soaking period, performed better wear resistance and improved surface roughness of the cutting tool. Also considerable reduction in the flank wear, crater wear, cutting temperature is obtained and found improved chip morphology.
Shylesh K. Siddalingappa, Bhaskar Pal, M. R. Haseebuddin, and K. Gopalakrishna
Springer Singapore
H.R. Aniruddha. Ram, Krishna Venkatesh, K Gopalakrishna, K.T. Kashyap, and K.S. Sridhar
IOP Publishing
In the present work, Cu-Ni phase diagram is evaluated and assessed using the CALPHAD method for the accurate prediction of liquidus and solidus curves. Phase diagrams were plotted for both bulk and nanoalloys. Phase diagrams for nanoparticles are significantly different from that of the bulk because the melting point of the nanoparticle is a function of particle size. The melting point of the nanoparticle is determined using two different models, Surface Energy model and Enthalpy and Entropy model. Phase diagrams were plotted using both models for Copper-Nickel binary isomorphous system and were compared with the experimental data. It was found that the Enthalpy and Entropy model is in good agreement with the experimental data compared to the Surface Energy model. This is because the Enthalpy and Entropy model considers the thermal interactions at various temperatures whereas the surface energy model only considers the surface free energy of the particle. Also, Enthalpy and Entropy model is a dynamic model because it can predict the melting enthalpy and entropy of the nanoparticles for various particle sizes which result in accurate free energies predictions. Hence, phase diagrams that are predicted using Enthalpy and Entropy model tend to be more accurate than that of the surface energy model.
H. R. Aniruddha Ram, Krishna Venkatesh, K. Gopalakrishna, K. T. Kashyap, and K. S. Sridhar
Springer Science and Business Media LLC
Nagraj patil, , Gopalakrishna K, Sangmesh B, , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
The cutting tool in the manufacturing industry is a key factor. The fulfilment of machining operation mainly depends on the tool material to improve the cutting life of the tool during machining with austenite stainless steel, however the austenite stainless steel difficult to machine and less amount of heat dissipation during machining in order to overcome. The aim of the investigation is to apply; the cryogenic treatment (CT) to the tungsten carbide insert, besides no study has been claimed on the chip thickness (tc), tool wear of machining with AISI 304. The machining test was conducted by three different speed and unchanged feed rate and depth of cut. The maximum flank wear was measured by using digital microscope also measured the chip thickness for both insert. The experimental results found that to reach the maximum flank wear for CT insert in all three speed was less in comparison with untreated insert (UT), chip thickness was also less in case of CT insert, built up edge were clearly observed in the UT insert, over all CT insert performed more desirable in compared with UT. The improvement in the microstructure properties of the CT insert owing to development of Eta (η) phase carbide and homogenous distribution in the tungsten carbide material, SEM and XRD tests are confirmed these results.
H R Aniruddha Ram, K T Kashyap, K S Sridhar, Krishna Venkatesh, K Gopalakrishna, and R Keshavamurthy
IOP Publishing
Copper and Nickel alloys form binary isomorphous system with a symmetric lens shaped curve formed by solidus and liquidus. This shape and size of the solidus and liquidus curves are altered by the particle size. This effect is greatly enhanced if the particle size is less than 100 nm. In the present work, phase diagram is predicted for nanoparticles considering Copper and Nickel and is compared with the experimental results. Copper and Nickel nanoparticles were procured and were characterized for the particle morphology and size using TEM, FE-SEM and XRD. The nanoparticles were also subjected to DSC analysis to find the melting point. The nanoparticles were blended in a high energy ball-mill for various compositions. The blending was carried out for different time intervals and was characterized using XRD to find the effective alloying time. The blended nanoparticles after effective alloying were subjected to DSC analysis to experimentally determine the solidus and liquidus points for various compositions. Phase diagram was determined experimentally and was compared with the theoretical prediction. GTE model and E&E models were used to predict the phase diagram for nanoparticles and was compared with the experimental results. It was found that the E&E model acurately predicts the nano phase diagram for Cu–Ni system with an error of 2% for 89 wt% Cu-11 wt% Ni alloy.