divakar hv
@msrit.edu
Asst Professor
Ramaiah Institute of Technology
EDUCATION
PhD in Computer Science and Engineering
RESEARCH INTERESTS
IOT and Embedded systems
Scopus Publications
Scopus Publications
K. Leela Kumar, Divakar Harekal, G. Hariharan, S. Nooray Sashmi, Samson Isaac J, and M. Sumithra
IEEE
P. Sreenivas, Divakar Harekal, T. K. S. Rathish Babu, Sudheer Kumar Battula, and J. Ramya
IGI Global
This chapter explores the emerging innovations in Device-to-Device (D2D) communication aimed at optimizing the performance and efficiency of mechanical tools. D2D communication allows mechanical tools and devices to directly exchange data without relying on centralized networks, enabling faster, more reliable interactions. The chapter delves into various technologies such as 5G, Internet of Things (IoT), and edge computing, highlighting their role in enhancing real-time communication, predictive maintenance, and autonomous tool operations. Additionally, it examines the challenges and solutions related to data security, energy efficiency, and interoperability in D2D networks. Case studies and applications in industries such as manufacturing, automotive, and construction are presented to illustrate the practical benefits of these innovations. The chapter concludes by discussing future trends, including the integration of artificial intelligence and machine learning in D2D systems, which promises to further revolutionize mechanical tool optimization.
R. Muthukumar, Divakar Harekal, Sk. Mastan Sharif, Dhivakar Poosapadi, P. Suresh Kumar, and M. Sudhakar
IGI Global
The integration of Internet of Things (IoT) and Machine Learning (ML) technologies presents groundbreaking advancements in nuclear structure analysis. This chapter explores how IoT devices and sensors, combined with ML algorithms, can enhance the precision and efficiency of nuclear research. IoT enables real-time data collection from various sensors distributed across nuclear facilities, providing a comprehensive view of nuclear reactions and structural parameters. ML algorithms then process and analyze this vast amount of data, identifying patterns and anomalies that traditional methods might miss. The chapter discusses the implementation of advanced ML techniques such as neural networks and ensemble methods for predictive modeling and anomaly detection in nuclear systems. It also highlights the challenges and potential solutions related to data integration, security, and computational demands. The convergence of IoT and ML in nuclear structure analysis promises significant improvements in safety, operational efficiency, and research capabilities.
Saravanakumar R, Arularasan AN, Divakar Harekal, Praveen Kumar R, Kaliyamoorthi P, Pushpalatha KS, and Vidhya RG
Iquz Galaxy Publisher
The proposed integration of DevOps and Digital Twins presents a ground-breaking approach to enhancing the resilience and adaptability of Cyber-Physical Systems in the context of Industry 4.0 and the forthcoming Industry 5.0 era. This research explores the synergistic potential of DevOps principles in fostering collaborative and efficient development and maintenance processes for embedded systems and distributed control systems within CPS. Concurrently, the utilization of Digital Twins offers real-time monitoring and simulation capabilities, heralding a shift towards a human-centric approach to CPS operation. The emphasis on self-adaptive systems within CPS anticipates the ability to address dynamic conditions and unforeseen challenges, paving the way for the evolution of resilient and responsive industrial systems. This research explores the integration of DevOps and Digital Twins in the context of Industry 4.0 and anticipates the requirements of Industry 5.0, emphasizing the need for resilient and human-centric Cyber-Physical Systems. This study investigates the integration of DevOps and Digital Twins to enhance the resilience and adaptability of Cyber-Physical Systems in the context of Industry 4.0 and Industry 5.
Chandrika Prasad, Jagdish S. Kallimani, Divakar Harekal, and Nicy Sharma
IEEE
Increasing acquisition of digitization over the information storing and processing in our daily lives has increased the demand of digitization in multiple facets including in investigation processes as well. In fact, for crimes involving computer systems requires the adoption of best practices for the process of evidence extraction from acquired devices from the crime scenes. Over the past years, summarization has become a topic of research. Various techniques of Natural Language Processing (NLP) enabling researchers to generate efficient results for a wide spectrum of documents. In the proposed work Seq2Seq Architecture with RNN is used to perform summarization tasks for documents. The nature of the summary is abstractive and allows the generation of internal meaning by the model itself. With refinement and continual work, this model becomes a strong foundation to perform summarization on longer and legal documents. The results are efficient summary generation and ROUGE scores in the range of 0.6 - 0.7.
B Spoorthi and Divakar Harekal
IEEE
Supervisory Control and Data Acquisition (SCADA) system provides process automation, controls and monitors utility networks in various sectors. SCADA systems reflect the rapid growth and changes in the technological and networking industries. Increase in the network usage has exposed the system to security challenges. The control systems using the internet technologies are automated and modernized, cause of which they are exposed to security threats. The systems are vulnerable which, when leveraged, can cause severe damage to hardware, loss of production and threat to life. This paper explore application of SCADA technology in power, water and manufactural sectors of industry, the security methods adopted, different threats faced and recommendations to overcome them.
D. Vidyadhara Reddy and Divakar Harekal
Springer Singapore
Healthcare IT has emerged as one of the basic necessities of life. Information technology could provide the solutions for various health ailments. It is done by processing numerous health parameters of the individual. These parameters could be measured using different electronics devices to keep up the health record and notify the individual and the doctor about any aberrations. Due to growing population and urbanization, various life style health problems are on the rise. Majority of the healthcare devices work in silos. Hence health vitals recorded remain locally stored and enhance the chances of data getting loss. By interconnecting these devices, we could maintain the health records centrally and derive insights. This could be incorporated with the advanced wireless technology. Smartphones could be leveraged for smart functionalities like voice recognition and Google services available. In this project, we are integrating the glucose meter monitors with the wireless communication to take advantage of the IoT technology and collect the blood sugar readings from the different individual, store them and provide the insights based on the health of the individual.
Divakar Harekal, Jawahar J. Rao, and V. Suma
Springer International Publishing
Software has laid a strong influence on all occupations. The key challenge of an IT industry is to engineer a software product with minimum post deployment defects. Software Engineering approaches help engineers to develop quality software within the scheduled time, cost, and resources in a systematic manner. In order to incorporate effective defect management strategies using software engineering discipline needs a complete and widespread knowledge of various aspects of defects. The position of this paper is to provide a pattern analysis of post production defects based on empirical observations made on several main frame projects developed in one of the leading software industries. Inferences thus obtained from this investigation indicate the existence of show stopper severity defects and their associated root cause. This awareness enables the developing team to reduce the residual defects and improve the pre production quality. It further aids the attainment of total customer satisfaction.