Prob(E)abilities for enhanced research and interdisciplinarity: An exploration of innovative practices in english studies, languages, and media
An analysis of the history of research as well as contemporary trends in higher education in India reveals the predominance of scientific research. Public policies, developmental strategies, and market forces often determine the nature and output of research in humanities and social sciences. Research in literatures, languages, and media needs articulationa process that reveals the significant interdisciplinary interventions that can be brought to the process of research and highlights the need for purpose-driven research as research rather than need-based research for research. This paper offers a critical overview of the role of research in universities in India, contemporary approaches to research at the national level, and the need to engage in interdisciplinary, collaborative, and action-based research, especially in humanities and social sciences departments in universities across India. Further, the paper offers a few examples of interdisciplinary and collaborative research to highlight the need for a symbiotic approach to academic research. 2020 IUP. All Rights Reserved.
IUP Journal of English Studies, Vol-15, No. 4, pp. 142-147.
Murthy S.V., CHRIST (Deemed to be University), S G Palya, Bengaluru Karnataka, 560029, India; Rathi M.T., CHRIST (Deemed to be University), S G Palya, Bengaluru Karnataka, 560029, India
Amberlite-15 promoted an unprecedented aza Michael rearrangement for one pot synthesis of dihydroquinazolinone compounds
A new one pot multicomponent annulation strategy for the synthesis of various dihydroquinazolinone compounds has been developed using Amberlite-15 as a catalyst, giving good to moderate yields. In this reaction the substrate scope for amines and aldehydes was also investigated. The reaction has been checked on a large scale and the possible reaction mechanism has also been proposed. The Royal Society of Chemistry 2018.
Murthy V.N.; Nikumbh S.P.; Tadiparthi K.; Madhubabu M.V.; Jammula S.R.; Rao L.V.; Raghunadh A.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1039/c8ra03308k https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049042229&doi=10.1039%2fc8ra03308k&partnerID=40&md5=c6afc6bb0728096f42930c2f24a663e0
Murthy V.N., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India, Department of Chemistry, GIS, Gitam University, Visakhapatnam, 530045, India; Nikumbh S.P., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India; Tadiparthi K., Department of Chemistry, Christ University, Hosur road, Bangalore, 560029, India; Madhubabu M.V., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India; Jammula S.R., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India; Rao L.V., Department of Chemistry, GIS, Gitam University, Visakhapatnam, 530045, India; Raghunadh A., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India
Patent Number: 202241028305, Applicant: Sashi Kumar D. The primary objective and the motto behind this invention of the device Vappav is for the safety of food items and food parcels which needs to have a minimum contact from people and to make sure that the delivery of these parcels are safe without many people touching it, which further ensures the safety and hygienic of the food items.
https://drive.google.com/file/d/11KIKKqtPoWiu2LVOsgbeojYFzYPtx4l2/view
Is Bitcoin a Safe Haven for Indian Investors? A GARCH Volatility Analysis
Bitcoin; DCC GARCH; EGARCH; gold; volatility spill over
This paper attempts to understand the dynamic interrelationships and financial asset capabilities of Bitcoin by analysing several aspects of its volatility vis-a-vis other asset classes. This study aims to analyse the volatility dynamics of the returns of Bitcoin. An asymmetric GARCH model (EGARCH) is used to investigate whether Bitcoin may be useful in risk management and ideal for risk-averse investors in anticipation of negative shocks to the market (leverage effect). This paper also examines Bitcoin as an investment and hedge alternative to gold as well as NSE NIFTY using a multivariate DCC GARCH model. DCC GARCH models are also used to check whether correlation (co-movement) between the markets is time-varying, examine returns and volatility spillovers between markets and the effect of the outbreak of COVID-19 in India on the investigated markets. The results show that given the supply of Bitcoin is fixed, low returns realisation is equivalent to excess supply over demand wherein investors are selling off Bitcoin during bad times. The positive co-movement between Bitcoin and gold during the COVID-19 outbreak shows that investors perceived Bitcoin as a relatively safe investment. However, overall analysis shows that Bitcoin was not considered a safe hedge and an investment option by Indian investors during the study period. 2022 by the authors.
Journal of Risk and Financial Management, Vol-15, No. 7
https://doi.org/10.3390/jrfm15070317 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136058994&doi=10.3390%2fjrfm15070317&partnerID=40&md5=590f498ed9f5cd123a367750db40c5b0
Murty S., Department of Economics, CHRIST (Deemed to be University, Bangalore, 560029, India; Victor V., Accounting, Economics and Finance Area, T A Pai Management Institute, Manipal Academy of Higher Education, Manipal, 576104, India; Fekete-Farkas M., Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Godollo, 2100, Hungary
Wireless Communication for Robotic Process Automation Using Machine Learning Technique
Machine intelligence is what has been generated by programming computers with certain aspects of human intellect, like training, solving problems, and priority setting. A machine can solve a number of complicated issues using these capabilities. In major industries, such as customer support and manufacturing, machine intelligence is now being employed. The growth and quick development of digital technology and artificial intelligence (AI) technologies are becoming more and more difficult. At now, sophisticated manufacturing, the world of invention, and broad acceptance are undergoing a fast transition. Robotics is much more vital as it may now be related to the human brain by the connection between machine and brain, as AI develops. The world's economy faces substantial difficulties by increasing productivity in the manufacturing industry. This study examines the present progress of robotic communication styles of artificial intelligence (AI). In many specific applications, communication between members of a robotic group or even people becomes vital. The paper solves the problem of implementation of an independent industry mobile robot in all fields in the major business, live interactive, planning, mobile robot technologies, and intending. In order to identify the best solution to this issue, a mixed integer robotic model has been developed. 2022 C. Murugamani et al.
Murugamani C.; Sahoo S.K.; Kshirsagar P.R.; Prathap B.R.; Islam S.; Noorulhasan Naveed Q.; Hussain M.R.; Hung B.T.; Teressa D.M.
Wireless Communications and Mobile Computing, Vol-2022
https://doi.org/10.1155/2022/4723138 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129182156&doi=10.1155%2f2022%2f4723138&partnerID=40&md5=8bd3797aebcbca289fdf747542cda8a9
Murugamani C., HOD-IT, Bhoj Reddy Engineering College For Women, Hyderabad, India; Sahoo S.K., Department Of Electronics And Instrumentation Engineering, Cvr College Of Engineering, Hyderabad, India; Kshirsagar P.R., Department Of Artificial Intelligence, G.H. Raisoni College Of Engineering, Nagpur, India; Prathap B.R., Department Of Computer Science And Engineering, Christ University, Bangalore, India; Islam S., Civil Engineering Department, College Of Engineering, King Khalid University, Asir, Abha, 61411, Saudi Arabia; Noorulhasan Naveed Q., College Of Computer Science, King Khalid University, Abha, 61413, Saudi Arabia; Hussain M.R., College Of Computer Science, King Khalid University, Abha, 61413, Saudi Arabia; Hung B.T., Data Analytics And Artificial Intelligence Laboratory-DAAI Lab, Director Of Artificial Intelligence And Information System Programme, Institute Of Engineering-Technology, Thu Dau Mot University, 6 Tran Van On Street, Phu Hoa District, Binh Duong Province Thu Dau Mot City, Viet Nam; Teressa D.M., Department Of Chemical Engineering, College Of Biological And Chemical Engineering, Addis Ababa Science And Technology University, Addis Ababa, Ethiopia
Machine Learning and Signal Processing Methodologies to Diagnose Human Knee Joint Disorders: A Computational Analysis
Computer-aid diagnostic (CAD) has emerged as a highly innovative research topic in diverse fields which includes medical imaging systems, radiology diagnostics, and so on. These are the systems that majorly assist doctors by the way of interpretation of medical data or images. In the diagnosis of knee joint disorder technique, both time and frequency-based analysis can be done. These non-stationary and non-linear signals are processed into three important methods, namely VMD, TVF-EMD, and CEEMDAN. To analyze the vibroarthrographic (VAG) signal, the initial stage is to compute the mode strategies termed as intrinsic mode functions (IMFs) which can be attained only after performing the transformations. In our chapter, we analyzed Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) for computing the mode signals. The CEEMDAN method utilized the time and frequency data for the available features. The feature extraction depends purely on pixel intensity and the statistical parameters. The classification of available data samples is done through the Least Square Support Vector Machine (LS-SVM) and SVM-Recursion of Feature Elimination (SVM-RFE) for the efficient analysis of healthy and unhealthy data samples. 2024 selection and editorial matter, Hemachandran K., Raul V. Rodriguez, Umashankar Subramaniam, and Valentina Emilia Balas; individual chapters, the contributors.
Murugan R.; Balajee A.; Senbagamalar L.; Aadil M.; Ganie S.M.
Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, pp. 119-130.
Murugan R., Department of CSE, CHRIST (Deemed to be University), India; Balajee A., Department of Computer Science and Engineering, Srinivasa Ramanujan Centre, SASTRA (Deemed to be University), Kumbakonam, India; Senbagamalar L., Department of Information Technology, Karpagam College of Engineering, Coimbatore, India; Aadil M., School of Computer Science and IT, Jain (Deemed to be University), Bangalore, India; Ganie S.M., Department of Analytics, School of Business, Woxsen University, Hyderabad, India
Preparation and Electrochemical Investigation of NiO Hollow Sphere from Bio Waste (Sugarcane Bagasse) Extract for Energy Storage Applications
Carbon sphere; Electrochemical test; Hydrothermal method; NiO hollow sphere; Supercapacitor electrode
This work describes how to easily make NiO hollow sphere composites using waste sugarcane bagasse for use in supercapacitor applications. NiO hollow spheres (NOHSs) nanomaterialis effectively synthesized through the nano carbon sphere (CS) template. A core-shell structure was created on the carbon spheres surface by NiO nanoparticles that were several nanometers in size. The structural and morphological of the synthesized materials were investigated by X-ray diffraction (XRD) and Scanning electron microscope (SEM). The energy-dispersive X-ray spectroscopy (EDS) was used to confirm the presence of the elements in NOHS. The electrochemical behaviour of hierarchical CSs and NOHSs electrode was examined through cyclic voltammetry (CV), Galvanostatic charge/discharge (SC) and electrochemical impedance spectroscopy (EIS). In GCD analysis, NOHSs electrode showed a concentrated specific capacitance (Csp) of 913.79F/g at 5A/g current density. The porous conductive carbon with macro pores that speeds up the transit of electron and electrolyte ions causes noticeably better capacitive behavior. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Murugesan M.; Nagavenkatesh K.R.; Devendran P.; Nallamuthu N.; Kumar M.K.; Ramesh K.
Journal of Inorganic and Organometallic Polymers and Materials, Vol-34, No. 8, pp. 3707-3720.
Murugesan M., Department of Physics, Kalasalingam Academy of Research and Education, Tamilnadu, Krishnankoil, Virudhunagar, 626 126, India; Nagavenkatesh K.R., Department of Physics, Kalasalingam Academy of Research and Education, Tamilnadu, Krishnankoil, Virudhunagar, 626 126, India; Devendran P., Department of Physics, Kalasalingam Academy of Research and Education, Tamilnadu, Krishnankoil, Virudhunagar, 626 126, India; Nallamuthu N., Department of Physics, Dayananda Sagar Academy of Technology and Management, Karnataka, Udayapura, Bangalore, 560 082, India; Kumar M.K., Department of Physics, CHRIST (Deemed to be University), Bangalore, 560029, India; Ramesh K., Department of Physics, Indian Institute of Science, Bangalore, India
Scalable synthesis of 2D-layered Ti3C2 MXene by HF etching method; electrochemical investigations and device fabrication to enhancing capacitive nature
Charge storage contribution; Electrochemical evaluation; Selective Etching; Supercapacitor; Ti3C2 MXene sheets
The goal of the current effort is aimed to synthesise the uniform exfoliated titanium carbide (Ti3C2) MXene sheets by utilising hydrofluoric (HF) acid to remove/etch aluminium from the parental Ti3AlC2 MAX phase. The Ti3C2 MXene was investigated by structural analysis using X-ray diffraction (XRD), Higher Resolution Transmission Electron Microscope (HRTEM), Scanning electron microscope (SEM), and EDS with mapping for morphological and elemental analysis, Moreover, the Ti3C2 MXene was studied its electrochemical properties to electrochemical energy storage application using cyclic voltammetry (CV), Galvanostatic chargedischarge (GCD) and electrochemical impedance spectroscopy (EIS) techniques. Since the GCD analysis of Ti3C2 MXene, a great specific capacitance (Csp) of 318F/g was attained with current density of 1 A/g and up to 90 % retentivity was attained after 7500 cycles. Besides, fabricated Ti3C2 MXene||Ti3C2-MXene symmetric supercapacitor device (SSD) has described the energy density (ED) of 27.78 Wh/kg at a power density (PD) of 400 W/kg and the capacitive retention existed attained 92.1 % after 7500 cycles with 5 A/g. 2024 Elsevier B.V.
Murugesan M.; Nagavenkatesh K.R.; Devendran P.; Nallamuthu N.; Sambathkumar C.; Krishna Kumar M.
Materials Science and Engineering: B, Vol-309
https://doi.org/10.1016/j.mseb.2024.117607 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200461402&doi=10.1016%2fj.mseb.2024.117607&partnerID=40&md5=f551a495f3f3e0ebe029e9c2dae42645
Murugesan M., Department of Physics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, Virudhunagar, 626 126, India; Nagavenkatesh K.R., Department of Physics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, Virudhunagar, 626 126, India; Devendran P., Department of Physics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, Virudhunagar, 626 126, India; Nallamuthu N., Department of Physics, Dayananda Sagar Academy of Technology and Management, Udayapura, Karnataka, Bangalore, 560 082, India; Sambathkumar C., Department of Physics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, Virudhunagar, 626 126, India; Krishna Kumar M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 029, India
Exploration of low heat rejection engine characteristics powered with carbon nanotubes-added waste plastic pyrolysis oil
Low heat rejection engine; Nanoadditive; NOx reduction; Pyrolysis process; Waste plastic oil
Compression ignition (CI)-powered alternative energy sources are currently the main focus due to the constantly rising worldwide demand for energy and the growing industrialization of the automotive sector. Due to their difficulty of disposal, non-degradable plastics contribute significantly to solid waste and pollution. The waste plastics were simply dropped into the sea, wasting no energy in the process. Attempts have been made to convert plastic waste into usable energy through recycling. Waste plastic oil (WPO) is produced by pyrolyzing waste plastic to produce a fuel that is comparable to diesel. Initially, a standard CI engine was utilized for testing with diesel and WPO20 (20% WPO+80% diesel). When compared to conventional fuel, the brake thermal efficiency (BTE) of WPO20 dropped by 3.2%, although smoke, carbon monoxide (CO), and hydrocarbon (HC) emissions were reasonably reduced. As a result, nitrogen oxide (NOx) emissions decreased while HC and CO emissions marginally increased in subsequent studies utilizing WPO20 with the addition of 5% water. When combined with WPO20 emulsion, nanoadditives have the potential to significantly cut HC and CO emissions without impacting performance. The possibility of incorporating nanoparticles into fuel to improve performance and lower NOx emissions should also be explored. In order to reduce heat loss through the coolant, prevent heat transfer into the cylinder liner, and increase combustion efficiency, the thermal barrier coating (TBC) material is also coated inside the combustion chamber surface. In this work, low heat rejection (LHR) engines powered by emulsion WPO20 containing varying percentages of carbon nanotubes (CNT) are explored. The LHR engine was operated with a combination of 10 ppm, 20 ppm, and 30 ppm CNT mixed with WPO20. It was shown that while using 20 ppm of CNT with WPO20, smoke, hydrocarbons, and carbon monoxide emissions were reduced by 11.9%, 21.8%, and 22.7%, respectively, when compared to diesel operating in normal mode. The LHR engine achieved the greatest BTE of 31.7% as a result of the improved emulsification and vaporization induced by CNT-doped WPO20. According to the study's findings, WPO20 with 20 ppm CNT is the most promising low-polluting fuel for CI engines. 2023 The Institution of Chemical Engineers
Murugesan P.; Elumalai P.V.; Balasubramanian D.; Padmanabhan S.; Murugunachippan N.; Afzal A.; Sharma P.; Kiran K.; Femilda Josephin J.S.; Varuvel E.G.; Tuan Le T.; Truong T.H.
Process Safety and Environmental Protection, Vol-176, pp. 1101-1119.
https://doi.org/10.1016/j.psep.2023.06.051 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164324595&doi=10.1016%2fj.psep.2023.06.051&partnerID=40&md5=ce9ea8590820eeac078bf3b1b4e7b68c
Murugesan P., Sankar Advanced Mobility Solution Private Limited, Mel Ayanambakkam, Ambattur Industrial Estate, Tamil Nadu, Chennai, 600095, India; Elumalai P.V., Department of Mechanical Engineering, Aditya Engineering College, Andhra Pradesh, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Padmanabhan S., Department of Automobile Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India; Murugunachippan N., Department of Automobile Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India; Afzal A., Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, India, University Centre for Research & Development, Department of Mechanical Engineering, Chandigarh University, Gharuan, Mohali; Sharma P., Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Kiran K., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, India; Femilda Josephin J.S., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Varuvel E.G., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey, Department of Automobile Engineering, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, India; Tuan Le T., Institute of Engineering, HUTECH University, Ho Chi Minh city, Viet Nam; Truong T.H., PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
Earlier Stage Identification of Bone Cancer with Regularized ELM
Canny Edge Detection; Improved Harris Corner Detection; Regularized Extreme Learning Machine (RELM)
A major focus of current research in the field of image processing is the application of such methods to the field of medical imaging. While dealing with biological issues like fractures, canoers, ulcers, etc., image processing facilitated pinpointing the precise cause and tailoring a remedy. In the field of tumor identification, medical imaging has set a new standard by overcoming a number of challenges. Medical imaging is the practice of generating images of the human body for diagnostic or exploratory purposes. Because of its high image quality, MRI is the method of choice for detecting tumors. This research study proposes the integration of RLM to detect tumors and presents an automatic bone cancer detection system to assist oncologists in making early diagnosis of bone malignancies, which in turn allows patients to receive treatment as soon as possible. This research work also proposes to detect bone tumors by using a combination of the RELM based M3 filtering, Canny Edge segmentation, and the Enhanced Harris corner approach. When compared to other models like CNN, ELM, and RNN, the suggested technique achieves an accuracy of around 97.55%. 2023 IEEE.
Murugesan S.; Sharma N.; Jayalakshmi N.; Pant K.; Chauhan A.; Acharjee P.B.
Proceedings of the 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023, pp. 1849-1854.
Institute of Electrical and Electronics Engineers Inc.
Murugesan S., R.M.D Engineering College, Kavaraipettai, Tamilnadu, Tiruvallur, India; Sharma N., Lovely Professional University, Department of Physical Education, Punjab, India; Jayalakshmi N., PSNA College of Engineering and Technology, Tamilnadu, Dindigul, India; Pant K., Graphic Era Deemed to Be University, Department of Biotechnology, Uttrakhand, Dehradun, India; Chauhan A., CHRIST (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India; Acharjee P.B., CHRIST University, Computer Science, Maharashtra, Pune, India
Catalyzing Green Mobility: Consumer Preferences for Green Energy Vehicles
Alternate Energy; Customer Preference; Electrical Vehicle; Green Energy
Due to growing urbanization and the increase of vehicles, most Indian cities endure traffic congestion and significant air pollution. As a result, alternate technology in autos, such as electric vehicles, may become necessary (EV). This study aims to identify consumer preferences toward electric vehicles in the Indian market. This research conducted a survey and analyzed the opinions of people regarding their preferences for electric vehicles, demographics, and some of the demotivation which might be stopping them to switch to electric vehicles altogether. This research will help in determining different factors influencing the perception of consumers toward electric vehicles and what they expect when they think about purchasing a new electric vehicle. It is important to understand that electric vehicles are really getting popular now because of the rising fuel prices and environmental concerns. People are thinking about electric vehicles and replacing them with their regular petrol or diesel vehicles. In this research there might be some challenges or roadblocks in switching to electric vehicles. This research found out that despite a favorable attitude toward electric vehicles, individuals are hesitant to transition to electric vehicles due to different hurdles connected with them. This research found out that mostly the preferences of the consumers are good charging infrastructure, a good range of the electric vehicle, pocket-friendly vehicles are the most common preferences of consumers buying an electric vehicle. 2023 EDP Sciences. All rights reserved.
Murugesan U.; Subramanian P.; Chitrarasu K.
https://doi.org/10.1051/e3sconf/202345502010 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180350335&doi=10.1051%2fe3sconf%2f202345502010&partnerID=40&md5=313eababb941155e1258e482d33549cd
Murugesan U., Department of Professional Studies, Christ University, Bangalore, India; Subramanian P., Department of Management Studies, Kongu Engineering College, Tamil Nadu, India; Chitrarasu K., Department of Professional Studies, Christ University, Bangalore, India
A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0
Agility; Artificial intelligence; Digitization; Human resource management; Industry 4.0; Structural equation modeling
Artificial Intelligence (AI) has opened up tremendous opportunities in the workplace through robotics innovation, which envelops both AI and the Internet of Things (IoT). Precision, Efficiency, and Flexibility are considered the potential benefits of Industry 4.0. The implementation of Industry 4.0 requires a lot of changes, including the Human Resource (HR) function. In Industry 4.0, the HR capability is more critical and gives an upper hand to the organization. The HR capability should be more cautious and adaptable to adjust to the difficulties and requirements. We study the contributions of AI in HR digitalization and practices in Industry 4.0. 271 HR experts working in Information Technology (IT), Manufacturing, and administration are selected to participate in this review focusing on five AI applications in HR capability and three elements of HR readiness. The information collected was examined utilizing the Statistical Package for Social Sciences (SPSS) tool and Analysis of Moment Structures (AMOS). The results uncovered that hierarchical organization examination is a fundamental part of acquiring sustainable development. Adaptability and human asset capability are upheld by each of the five components of AI application areas of HR. Well-being and Safety improvement were viewed as vital components under the AI application in HR. 2023 The Author(s)
Murugesan U.; Subramanian P.; Srivastava S.; Dwivedi A.
https://doi.org/10.1016/j.dajour.2023.100249 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159619743&doi=10.1016%2fj.dajour.2023.100249&partnerID=40&md5=eb8a9e7afcc3c3961e8d358a94be081f
Murugesan U., CHRIST (Deemed to be University), Bengaluru, India; Subramanian P., Kongu Engineering College, Erode, India; Srivastava S., CHRIST (Deemed to be University), Bengaluru, India; Dwivedi A., Jindal Global Business School, OP Jindal Global University, Sonipat, India
Navigating resource scarcity in a changing climate: AI-powered perspectives on mental health
In the backdrop of the extensive global impact of the COVID-19 pandemic, environmental crises have, to a certain degree, taken a back seat. The pandemic-induced scarcity mindset, emphasizing immediate short-term needs over long-term considerations, has played a role in this shift in priorities. This scarcity mindset, prevalent during the pandemic, poses a risk to pro-environmental behavior and may contribute to environmental degradation, thereby heightening the likelihood of future pandemics. This chapter advocates for a reevaluation of pro-environmental actions, emphasizing their role in addressing various human needs, especially during periods of scarcity. AI-driven chatbots possess the capability to significantly enhance accessibility to affordable and efficient mental health services by complementing the efforts of clinicians. To safeguard pro-environmental behavior, we propose a reconceptualization that positions these actions not merely as value-laden or effortful but as pragmatic measures essential for resource conservation, particularly in times of scarcity. The study explores, the intricate dynamics of resource scarcity, climate change, and mental health, employing AI-powered perspectives to navigate this complex interplay. 2024, IGI Global. All rights reserved.
Musa A.I.A.; Priya T.M.; Sivaprakasam S.A.; Devi M.R.; Rajendran R.K.
The Climate Change Crisis and Its Impact on Mental Health, pp. 12-23.
Musa A.I.A., Qassim University, Saudi Arabia; Priya T.M., Christ University, India; Sivaprakasam S.A., Rajalakshmi Engineering College, India; Devi M.R., Presidency University, India; Rajendran R.K., Christ University, India
Efficient multipath model based cross layer routing techniques for Gauss Markov movable node management in MANET
This research unveils an innovative cross-layer routing methodology tailored for managing Gauss Markov mobile nodes within MANETs. The primary focus deceits cutting-edge inspiring network performance through the efficient utilization of resources and the steadfast maintenance of mobile node connectivity. Central to this model is the implementation of joint optimization, which takes into account both node mobility patterns and resource allocation dynamics to pinpoint the most favorable data transmission pathway. Incorporating multipath routing, the methodology enables the simultaneous exploration of multiple transmission routes, thereby fortifying the network against potential link failures and disruptions. By embracing a cross-layer approach, it seamlessly integrates functionalities across network, and steering layers, thereby amplifying the complete system efficacy. Comprehensive simulations conducted reveal the superior performance of this approach compared to existing techniques, particularly in terms of network throughput, latency reduction, and augmentation of packet delivery ratios. Such findings underscore the immense potential of this methodology across a spectrum of MANET applications that demand streamlined and dependable data transmission mechanisms. 2024 Author(s).
Musa A.I.A.; Sivakumar V.; Chandrasekharan N.; Priya T.M.; Kanna R.R.
AIP Conference Proceedings, Vol-3161, No. 1
https://doi.org/10.1063/5.0229502 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204024285&doi=10.1063%2f5.0229502&partnerID=40&md5=5da5eb5f70ea4a9594cc93c69ccadb45
Musa A.I.A., Department of Computer Science, College of Computer, Qassim University, Riyadh, Saudi Arabia; Sivakumar V., School of Computing, Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Chandrasekharan N., School of Computing, Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Priya T.M., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India; Kanna R.R., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India
Attenuation properties of epoxy-Ta2O5 and epoxy-Ta2O5-Bi2O3 composites at ?-ray energies 59.54 and 662 keV
composites; films; mechanical properties; thermogravimetric analysis (TGA)
Epoxy resin filled with suitable high Z elements can be a potential shield for X-rays and ?-rays. In this work, we present the ?-ray attenuation properties of epoxy composites filled with (030 wt%) Tantalum pentoxide (Ta2O5) and Ta2O5-Bi2O3, which were prepared by open mold cast technique. X-ray diffraction patterns showed crystalline peaks of Ta2O5 and bismuth oxide (Bi2O3) in the prepared epoxy-Ta2O5 and epoxy-Ta2O5-Bi2O3 composites. Homogeneity of the samples at higher filler wt% was revealed by SEM images. Mechanical characterization showed the enhanced mechanical strength of epoxy-Ta2O5-Bi2O3 composites compared to epoxy-Ta2O5. Higher storage modulus and glass transition temperature of the epoxy-Ta2O5-Bi2O3 composites showed enhanced stiffness and thermal stability when compared to neat and epoxy-Ta2O5. Decrease in the value of tan(?) at higher content of filler loadings indicated the good adhesion between filler and matrix. Mass attenuation coefficients of epoxy-Ta2O5 (30 wt%) composites at ?-ray energies 59.54 and 662 keV were found to be 0.876 cm2 g1 and 0.084 cm2 g1, while that of epoxy-Ta2O5-Bi2O3 (30 wt% Bi2O3) composite were 1.271 cm2 g1 and 0.088 cm2 g1, respectively. The epoxy-5% Ta2O5-30% Bi2O3 composites with higher ?/? value and tensile strength may be a potential ?-ray shield in various radiation environments. 2020 Wiley Periodicals, Inc.
Muthamma M.V.; Bubbly S.G.; Gudennavar S.B.
Journal of Applied Polymer Science, Vol-137, No. 44
https://doi.org/10.1002/app.49366 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085062629&doi=10.1002%2fapp.49366&partnerID=40&md5=29af63d5ebb9d79acc0525170576348a
Muthamma M.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; Bubbly S.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India
Poly(vinyl alcohol)bismuth oxide composites for X-ray and ?-ray shielding applications
applications; irradiation; mechanical properties; optical properties; thermogravimetric analysis (TGA)
Polymer composites, which are light in weight, cost effective, and less toxic, have potential applications in X-ray and ?-ray shielding and protection. In this work, we have explored the efficacy of poly(vinyl alcohol)bismuth oxide composites as radiation shielding materials. Poly(vinyl alcohol) composites with different wt % (050) of bismuth were prepared by a simple solution casting technique. Structural and thermal characterization of these samples was carried out using Fourier transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy (SEM), and thermogravimetric analysis (TGA). TGA revealed the enhanced thermal stability of these composites. AC conductivity measurements and optical spectroscopy were used to analyze their electrical behavior. The composites showed low conductivity, and the energy gap obtained also showed their tendency to be insulators. The radiation attenuation properties were investigated using X-ray (5.895 and 6.490 keV) and ?-ray (59.54 and 662 keV) transmission measurements. The shielding efficiency of the composites increased with filler wt %. The 40 wt % composites exhibited mass attenuation coefficients of 122.68 and 93.02 cm2/g at photon energies of 5.895 and 6.490 keV, respectively, while the 50 wt % composites showed 1.57 and 0.092 cm2/g at photon energies of 59.54 and 662 keV, respectively. The effective atomic number quantifies the probability of interaction of radiation with matter. The effective atomic number of the composites calculated by the direct method was in good agreement with the theoretical value obtained from Auto-Zeff software. 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47949. 2019 Wiley Periodicals, Inc.
Muthamma M.V.; Bubbly S.G.; Gudennavar S.B.; Narendranath K.C.S.
Journal of Applied Polymer Science, Vol-136, No. 37
https://doi.org/10.1002/app.47949 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066011654&doi=10.1002%2fapp.47949&partnerID=40&md5=220aaab42de91d45b724a373e624b778
Muthamma M.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, -560 029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, -560 029, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, -560 029, India; Narendranath K.C.S., Space Science Division, Space Astronomy Group, ISITE Campus, ISRO, Bengaluru, -560 037, India
Attenuation parameters of polyvinyl alcohol-tungsten oxide composites at the photon energies 5.895, 6.490, 59.54 and 662 keV
mass attenuation coefficient; radiation shielding; tungsten filled polyvinyl alcohol composite
The growing demand for lightweight, non-toxic and effective X-A nd ?-ray shielding materials in various fields has led to the exploration of various polymer composites for shielding applications. In this study, tungsten filled polyvinyl alcohol (PVA) composites of varying WO3 concentrations (0-50 wt%) were prepared by solution cast technique. The structural, morphological, and thermal properties of the prepared composite films were studied using X-ray diffraction technique (XRD), Scanning electron microscopy (SEM) and Thermogravimetric analysis (TGA). The AC conductivity studies showed the low conductivity property of the composites. The X-ray (5.895 and 6.490 keV) and ?-ray (59.54 and 662 keV) attenuation studies performed using CdTe and NaI(Tl) detector spectrometers revealed a noticeable increase in shielding efficiency with increase in filler wt%. The effective atomic number (Zeff) calculated by the direct method agreed with the values obtained using Auto-Zeff software. The % heaviness showed that tungsten filled polyvinyl alcohol composites are lighter than traditional shielding materials. 2020 M V Muthamma et al., published by Sciendo 2020.
Muthamma M.V.; Gudennavar B.S.; Gudennavar S.B.
Polish Journal of Medical Physics and Engineering, Vol-26, No. 2, pp. 77-85.
https://doi.org/10.2478/pjmpe-2020-0009 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090297228&doi=10.2478%2fpjmpe-2020-0009&partnerID=40&md5=c12f9e39d6b38e0bd3b8d25a498d5766
Muthamma M.V., Department of Physics and Electronics, Christ, Deemed to Be University, Bangalore Central Campus, Karnataka, Bengaluru, 560029, India; Gudennavar B.S., Department of Physics and Electronics, Christ, Deemed to Be University, Bangalore Central Campus, Karnataka, Bengaluru, 560029, India; Gudennavar S.B., Department of Physics and Electronics, Christ, Deemed to Be University, Bangalore Central Campus, Karnataka, Bengaluru, 560029, India
Micro and nano Bi2O3 filled epoxy composites: Thermal, mechanical and ?-ray attenuation properties
Bismuth oxide; Epoxy; Micro/nano composites; ?-Ray attenuation studies
Polymer composites have attracted considerable attention as potential light-weight and cost-effective materials for radiation shielding and protection. In view of this, the present work focusses on development of lead-free composites of diglycidyl ether of bisphenol A (DGEBA) epoxy resin with micro (~ 10 ?m) and nano (~ 20 nm) bismuth (III) oxide (Bi2O3) fillers, using solution casting technique. Thermal, mechanical and ?-ray attenuation properties of the composites were studied by varying the filler loading. Inclusion of the fillers into epoxy matrix was confirmed both structurally and morphologically by XRD and SEM, respectively. Thermogravimetric analysis (TGA) showed the thermal stability of composites to be as high as 400 C. The nanocomposites exhibited relatively higher thermal stability than their micro counterparts. Among the composites, 14 wt% nano-Bi2O3/epoxy composites showed highest tensile strength of 326 MPa, which is about 38% higher than 30 wt% micro Bi2O3/epoxy composites. Mass attenuation coefficients (?/?) of the composites were evaluated at ?-ray energies ranging from 0.356 to 1.332 MeV. Nanocomposites showed better ?-ray shielding at all energies (0.356, 0.511, 0.662, 1.173, 1.280 and 1.332 MeV) than micro composites with same filler loading. These studies revealed the significance of nano-sized fillers in enhancing overall performance of the composites. 2021 Elsevier Ltd
Muthamma M.V.; Prabhu S.; Bubbly S.G.; Gudennavar S.B.
ISSN: 9698043; PubMed ID: 34052516; CODEN: ARISE
https://doi.org/10.1016/j.apradiso.2021.109780 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106617988&doi=10.1016%2fj.apradiso.2021.109780&partnerID=40&md5=2448f262d8a061bbf5b5527db394a553
Muthamma M.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India; Prabhu S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India; Bubbly S.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India
A reconfigurable integrated level shifted carrier based PWM method for modular multilevel converters
carrier based sinusoidal pulse width modulation; harmonic distortion; modular multilevel converters; pulse width modulation
This article presents a reconfigurable integrated level shifted carrier-based pulse width modulation (ILSC-PWM) method for modular multilevel converters (MMCs). The principles of basic level shifted carrier-based PWM (LSC-PWM) methods such as phase disposition PWM (PD-PWM), phase opposition disposition PWM (POD-PWM) and alternate phase opposition disposition PWM (APOD-PWM) methods are combined to develop the concept of reconfigurable ILSC-PWM method. The main objectives of the proposed reconfigurable ILSC-PWM method is to develop the pulse width modulated output voltage with both half-wave and quarter-wave symmetries and to reduce the total harmonic distortion (THD). A simplified mathematical approach is developed to formulate reconfigurable single ILSC wave for MMC with N number of submodules (SMs) per arm. The functionality and performance of the reconfigurable ILSC-PWM method are carried out on three-phase five-level MMC in MATLAB/Simulink. A hardware prototype of single-phase five-level MMC is designed for experimental validation. The proposed ILSC-PWM method is implemented on an Altera/Cyclone I series (EP1C12Q240C8N) field programmable gate array (FPGA). Computer Simulations and laboratory experimental results are presented. 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Muthavarapu A.K.; Anjana K.G.; Biswas J.; Barai M.
IEEJ Transactions on Electrical and Electronic Engineering, Vol-17, No. 8, pp. 1148-1159.
https://doi.org/10.1002/tee.23606 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129043067&doi=10.1002%2ftee.23606&partnerID=40&md5=827c0c17262df32f4e28c4a42c682fc4
Muthavarapu A.K., Electrical and Electronics Engineering, Aditya Engineering College (A), Andhra Pradesh, Surampalem, 533437, India; Anjana K.G., Electrical Engineering, National Institute of Technology, Kerala, Calicut, 673601, India; Biswas J., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India; Barai M., Electrical Engineering, National Institute of Technology, Kerala, Calicut, 673601, India
An Efficient Sorting Algorithm for Capacitor Voltage Balance of Modular Multilevel Converter With Space Vector Pulsewidth Modulation
Analogue sorting; capacitor voltage balancing; modular multilevel converters (MMCs); space vector pulsewidth modulation (SVPWM)
Thisarticle presents an efficient analogue sorting algorithm for balancing the submodule (SM) capacitor voltages of modular multilevel converter (MMC). The proposed analogue sorting algorithm offers the advantage of fast convergence rate without any need of recursive loops for the implementation on embedded devices. It can be easily implemented with combinational logic operations on field programmable gate array (FPGA) and provides less hardware and computational overhead. The functionality and performance of the proposed analogue sorting algorithm is evaluated with the simulation model of three phase five-level MMC in MATLAB/Simulink environment. The real time implementation of the proposed sorting algorithm with the SM capacitor voltage balancing strategy is implemented on Altera/Cylone - I (EP1C12Q240C8N) FPGA. A five-level continuous space vector pulsewidth modulation (CSVPWM) is realized on a PIC microcontroller (PIC18F452). A down-scaled model of single-phase five-level MMC is designed and constructed to investigate the reliable and stable operation of MMC with the proposed analogue sorting algorithm and SVPWM method. Simulation and experimental results are presented for validation. 1986-2012 IEEE.
IEEE Transactions on Power Electronics, Vol-37, No. 8, pp. 9254-9265.
https://doi.org/10.1109/TPEL.2022.3160665 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126708135&doi=10.1109%2fTPEL.2022.3160665&partnerID=40&md5=78bd2b363c7cbfe0d01827bcc9f6e2ce
Muthavarapu A.K., Aditya Engineering College (A), Electrical and Electronics Engineering Department, Surampalem, 533437, India; Biswas J., Christ University, Department of Computer Science, Bengaluru, 560029, India; Barai M., National Institute of Technology, Department of Electrical Engineering, Kozhikode, Calicut, 673601, India