Is asteroid 33 Polyhymnia a dark matter (DM) degenerate object?
Polyhymnia (33 Polyhymnia) is a main belt asteroid in our solar system with a diameter around 54km. The density of asteroid 33 Polyhymnia, located in the main asteroid belt, is calculated to be 75g/cc. Researchers have speculated the possibility that Polyhymnia could be composed of high-density superheavy elements near atomic number 164. Here, we propose that Polyhymnia could be an asteroid composed of degenerate dark matter (DM) and there could be many such asteroids in our solar system. (This is following our earlier work suggesting that Planet Nine could be such an object.) The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024.
European Physical Journal Plus, Vol-139, No. 6
Springer Science and Business Media Deutschland GmbH
https://doi.org/10.1140/epjp/s13360-024-05174-3 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196840755&doi=10.1140%2fepjp%2fs13360-024-05174-3&partnerID=40&md5=32167fb6b475b8959dfc6ec4e1ed3f0b
Kiren O.V., Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India, Department of Physics, St Claret Pre-University College, Jalahalli, Karnataka, Bengaluru, 560013, India; Sivaram C., Indian Institute of Astrophysics, Koramangala, Karnataka, Bengaluru, 560057, India; Kenath A., Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India
Exploring the influence of KOH electrolyte concentration on the electrochemical properties of Co3O4-GO nanocomposite
Co3O4-GO nanocomposite; KOH concentration; Pseudocapacitance; Sheet-like morphology
In this study, we investigate the electrochemical performance of Co3O4-GO nanocomposite, synthesized via a hydrothermal method, as a function of electrolyte concentration. XRD, Raman, SEM, TEM, XPS, and BET techniques have been employed to examine the structural, microstructural, chemical states, and specific surface area characteristics of the composite material. According to SEM micrographs, the aggregated particles have a sheet-like morphology, and these sheets have been assembled into clusters. Using N2-adsorption/desorption isotherms, the pore volume, diameter, and specific surface area of composite were determined to be 0.24 cm3/g, 15 nm, and 63 m2/g, respectively. Based on cyclic voltammograms (CVs) recorded at different scan rates and electrolyte concentrations, the working electrode demonstrated pseudocapacitance behavior. The specific capacitance (Cs) of the fabricated electrode was estimated from GCD curves recorded at different current densities and electrolyte concentrations. For 1 M KOH solution, Cs of the composite electrode is found to be 258 F/g at 1 A/g, and this value drops to 222 F/g at 5 A/g. Furthermore the composite electrode's Cs decreases with increasing electrolyte concentration at a specific current density. The study indicates that 1 M of KOH electrolyte is the optimal electrolyte concentration for optimal energy storage. 2024 Elsevier Ltd
Kalpana S.; Bhat V.S.; Hegde G.; Anantharamaiah P.N.
Journal of Physics and Chemistry of Solids, Vol-190
https://doi.org/10.1016/j.jpcs.2024.112019 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188994292&doi=10.1016%2fj.jpcs.2024.112019&partnerID=40&md5=98f911368bf24b67b54d6d6cddd17e6e
Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials & Displays (CND), B. M. S. College of Engineering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India
SIGNIFICANT DIFFERENCE, CULTURAL DISTANCE, AND CULTURAL HUMILITY IN CHILDRENS MEDIA RESEARCH
The study of children, adolescents, and media (CAM) places a special emphasis on the welfare of young audiences and the media that socially, culturally, and historically constructs their identity, knowledge, and understanding of themselves and the world around them. CAM scholars form a legion of worriers and warriors focused on making the world a better place for children to live and learn (Jordan, 2021, p. 147). This legion spans the world, embodying the three traditional realms of media studies (audience, texts, and institutions) as a microcosm of media studies (Lemish, 2015, p. 1) and crosses disciplinary, theoretical, and empirical boundaries. As such, CAM scholarship can sometimes be difficult to find since it is often located in many different disciplinary journals and books as well as in proprietary industry reports. Lemish (2019) spoke of her journey in finding a home for her childrens media research and calls for the need for deeper internationalization of CAM that can account for the variance of childrens lives and the structural forces that shape the market and content of childrens media. This special issue contributes to this vision and highlights CAM research produced outside of a Western, educated, industrialized, rich and democratic (WEIRD) society (Jordan & Prendella, 2019). Moreover, it allows for a space to reflect on CAM scholarship as a whole and future directions for consideration. Lets explore some of the limitations in existing childrens media research and ways in which international collaboration can help to mediate some of these concerns. (2023). All Rights Reserved.
Journal of Content, Community and Communication, Vol-20, pp. 4-7.
https://doi.org/10.31620/JCCC.06.24/02 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197807148&doi=10.31620%2fJCCC.06.24%2f02&partnerID=40&md5=16e53afd1ada462e1d5a0a28ee208c3a
Jennings N.A., University of Cincinnati, United States; Bali A., Christ University, India
Vigilance and surveillance reinforced using mathematical approaches in object tracking techniques
Bounding box; Deep learning convolutional network; Multiple object tracking; Single object tracking; Visual object tracking
Visual tracking is crucial to the study of object recognition and has been utilized in a variety of realistic settings, such as robotics, traffic monitoring, self-driving automobiles, forensics, and more. This research concentrates on techniques for counting the total number of individuals entering or exiting a space under the watchful eye of a camera. The techniques described here can detect the number of persons in a scene, both for a single individual and for many passers in front of the camera. With the aid of surveillance that use the centroid concept, an effective solution has been devised for monitoring. Secondly, in this study, object tracking methods utilising deep learning are also reviewed and analysed. This study also compares the effectiveness of various algorithms on the LaSOT, VOT2015, VOT2016, VOT2017 and OTB2015 tests. 2024, Taru Publications. All rights reserved.
Upreti K.; Kapoor S.; Ghosh S.; Jain D.; Kushwah V.S.; Parashar J.; Jain R.; Bloch T.
Journal of Discrete Mathematical Sciences and Cryptography, Vol-27, No. 4, pp. 1455-1465.
https://doi.org/10.47974/JDMSC-1999 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197745377&doi=10.47974%2fJDMSC-1999&partnerID=40&md5=f0ce59d7af5b3819c53e4c3f35e45691
Upreti K., Department of Computer Science, CHRIST University, Delhi NCR Campus Uttar Pradesh, India; Kapoor S., Department of Computer Science Engineering, Dr. Akhilesh Das Gupta Institute of Professional Studies, Shashti Park, New Delhi, India; Ghosh S., Department of Information Technology, Maharaja Agrasen Institute of Technology, Rohini Delhi, India; Jain D., Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning), ABES Engineering College, Uttar Pradesh, Ghaziabad, India; Kushwah V.S., School of Computer Science & Engineering, VIT Bhopal University, Bhopal-Indore Highway, Madhya Pradesh, Bhopal, India; Parashar J., Department of Computer Science Engineering, Dr. Akhilesh Das Gupta Institute of Professional Studies, Shashti Park, New Delhi, India; Jain R., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India; Bloch T., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India
Can Hubble tension be eased by invoking a finite range for gravity?
finite range gravity; Hubble constant; Hubble tension; modified gravity
The estimation of the Hubble constant in the past few decades has increasingly become more accurate with the advancement of new techniques. However, its value seems to depend on the epoch at which the measurements are made. The Planck estimate of the Hubble constant from the observations of the cosmic microwave background radiation in the early universe is about 67km\s\Mpc, whereas that obtained from the distance indicators at the current epoch is ?73-74km\s\Mpc. This discrepancy between the two groups of measurement is termed as the Hubble tension which has gained much attention in the past few decades with growing significance as measurements from both, the early and the late universe, studies continue to produce results with increasing precision. In this work, we propose a modification to gravity by considering a finite range gravitational field as an alternate explanation for this discrepancy in the value of the Hubble constant. 2024 World Scientific Publishing Company.
Rebecca L.; Sivaram C.; Sebastian D.; Arun K.
Modern Physics Letters A, Vol-39, No. 17 N18
Rebecca L., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore, India; Sivaram C., Theory Group, Indian Institute of Astrophysics, Bangalore, India; Sebastian D., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore, India; Arun K., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore, India
Long Term X-Ray Spectral Variations of the Seyfert-1 Galaxy Mrk 279
galaxies: individual (Mrk 335); galaxies: Seyfert; X-rays: galaxies
We present the results from a long term X-ray analysis of Mrk 279 during the period 2018-2020. We use data from multiple missions - AstroSat, NuSTAR and XMM-Newton, for the purpose. The X-ray spectrum can be modeled as a double Comptonization along with the presence of neutral Fe K? line emission, at all epochs. We determined the sources X-ray flux and luminosity at these different epochs. We find significant variations in the sources flux state. We also investigate the variations in the sources spectral components during the observation period. We find that the photon index and hence the spectral shape follow the variations only over longer time periods. We probe the correlations between fluxes of different bands and their photon indices, and found no significant correlations between the parameters. 2024. National Astronomical Observatories, CAS and IOP Publishing Ltd.
Akhila K.; Misra R.; Ezhikode S.H.; Jeena K.
Research in Astronomy and Astrophysics, Vol-24, No. 6
https://doi.org/10.1088/1674-4527/ad4962 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196018121&doi=10.1088%2f1674-4527%2fad4962&partnerID=40&md5=0f2bab9ed85a556d70bdfc927d828c89
Akhila K., Department of Physics, Providence Womens College, University of Calicut, Kerala, 673009, India; Misra R., Inter-University Centre for Astronomy and Astrophysics (IUCAA), PB No.4, Ganeshkhind, Pune, 411007, India; Ezhikode S.H., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bangalore, 560029, India; Jeena K., Department of Physics, Providence Womens College, University of Calicut, Kerala, 673009, India
Investigation on the analysis of integration of IoT and AI technologies with information security for advanced education 4.0
A duopoly economy; Market share; Mathematical modeling; Ordinary differential equations
This research examines the integration of emerging technologies in the form of the Internet of Things and Artificial Intelligence in driving forward to the educational application of Education 4.0. The systematic meta-analysis study provides evidence in the transformative capability of these technologies regarding attendance, performance, and learning pathway. The systems implementation was in the form of IoT sensors to capture and record student attendance, while the use of Artificial Intelligence based on machine learning models such as Support Vector Machine, Artificial Neural Network, k-Nearest Neighbors, and Decision Tree generated a personalized recommendation for the academic improvement or sports activity to be participated as an extracurricular activity. The performance evaluation of these models was illustrated for accuracy to correctly predict student responses related to the provided recommendations. The findings of implementation suggest the systems significant impacts given the augmented performance achievement with respect to academics and sports is the result of the implementation. It was measured comparing students performance before and after system implementation to capture the interpretation of student improvement regarding the use of the implemented system. The findings indicated that the systems implementation contributed to the increase in academic improvement from 65% to 75% and sports performance from 55% to 70% depending on student response to the provided academical or extracurricular recommendations. Such findings confirm an overall improvement in performance based on the use of the presented system. Taru Publications.
Upreti K.; Dadhich P.; Gautam A.; Singh J.; Kushwah V.S.; Parashar J.; Gangwar D.; Ghosh S.
Journal of Discrete Mathematical Sciences and Cryptography, Vol-27, No. 4, pp. 1445-1454.
https://doi.org/10.47974/JDMSC-1998 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198055156&doi=10.47974%2fJDMSC-1998&partnerID=40&md5=0999640be2912d4a643241f5be000883
Upreti K., Department of Computer Science, CHRIST University, Delhi NCR Campus, Uttar Pradesh, India; Dadhich P., School of Computer Application, Manav Rachna International Institute of Research and Studies (MRIIRS), Haryana, Faridabad, India; Gautam A., School of Computer Application, Manav Rachna International Institute of Research and Studies (MRIIRS), Haryana, Faridabad, India; Singh J., Department of Computer Science and Engineering, Alliance School of Advanced Computing, Alliance University, Karnataka, Bangalore, India; Kushwah V.S., School of Computer Science & Engineering, VIT Bhopal University, Bhopal-Indore Highway, Madhya Pradesh, Bhopal, India; Parashar J., Department of Computer Science and Engineering, Dr. Akhilesh Das Gupta Institute of Professional Studies, Shashti Park, New Delhi, India; Gangwar D., Department of Management, Babu Banarasi Das Institute of Technology and Management, Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India; Ghosh S., Department of Information Technology, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India
Lignocellulosic biomass for biochar production: A green initiative on biowaste conversion for pharmaceutical and other emerging pollutant removal
Biochar; Biowaste; Functionalization; Lignocellulose; Nano adsorbents; Wastewater treatment
Lignocellulosic waste generation and their improper disposal has accelerated the problems associated with increased greenhouse gas emissions and associated environmental pollution. Constructive ways to manage and mitigate the pollution associated with lignocellulosic waste has propelled the research on biochar production using lignocellulose-based substrates. The sustainability of various biochar production technologies in employing lignocellulosic biomass as feedstock for biochar production not only aids in the lignocellulosic biomass valorization but also helps in carbon neutralization and carbon utilization. Functionalization of biochar through various physicochemical methods helps in improving their functional properties majorly by reducing the size of the biochar particles to nanoscale and modifying their surface properties. The usage of engineered biochar as nano adsorbents for environmental applications like dye absorption, removal of organic pollutants and endocrine disrupting compounds from wastewater has been the thrust areas of research in the past few decades. This review presents a comprehensive outlook on the up-to-date research findings related to the production and engineering of biochar from lignocellulosic biomass and their applications in environmental remediation especially with respect to wastewater treatment. Further a detailed discussion on various biochar activation methods and the future scope of biochar research is presented in this review work. 2024 Elsevier Ltd
Kumar V.; Sharma N.; Panneerselvam B.; Dasarahally Huligowda L.K.; Umesh M.; Gupta M.; Muzammil K.; Zahrani Y.; Malmutheibi M.
ISSN: 456535; PubMed ID: 38761824; CODEN: CMSHA
https://doi.org/10.1016/j.chemosphere.2024.142312 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193780264&doi=10.1016%2fj.chemosphere.2024.142312&partnerID=40&md5=e2f4080f81783b196456c85ce1a23d33
Kumar V., Biomaterials and Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Sharma N., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Panneerselvam B., Center of Excellence in Interdisciplinary Research for Sustainable Development, Chulalongkorn University, Bangkok, 10330, Thailand, Department of Community Medicine, Saveetha Medical College, SIMATS, Chennai, 602105, India; Dasarahally Huligowda L.K., Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Gupta M., Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, 174103, India; Muzammil K., Department of Public Health, College of Applied Medical Sciences, Khamis Mushait Campus, King Khalid University, Abha, 62561, Saudi Arabia; Zahrani Y., Department of Public Health, College of Applied Medical Sciences, Khamis Mushait Campus, King Khalid University, Abha, 62561, Saudi Arabia; Malmutheibi M., Department of Public Health, College of Applied Medical Sciences, Khamis Mushait Campus, King Khalid University, Abha, 62561, Saudi Arabia
Analysing the impact of the taxation law amendment of 2019 on corporate taxation in India
Amendment; Corporate Taxation; India; Loopholes; Privatization; Tax; Tax Evasion; Taxation Law
The Taxation Law (Amendment) Act, 2019 in India has brought major changes in the taxation revenue as well as in legal provisions. The actual ground reality of the Amendment on a microeconomic level is unknown, but a correlation analysis on macroeconomic indicators show that there is a high positive correlation between the corporate tax revenue and the GDP growth. The author also interlinks the effects of tax cuts on the economy with privatization and how it can mitigate the risks of tax evasion. There is a generalized misconception with privatization that it leads to a significant loss in taxation revenue. The study shows that in fact, privatization helps to expand the earnings of the Government by widening the taxation structure and slab, which the author has found through statistics. It is high time to have strong regulatory measures to prevent tax evasion by encouraging more corporate entities to become a part of the tax base. Indian Institute of Finance.
Finance India, Vol-38, No. 2, pp. 437-452.
Cshaji B., Christ (Deemed-to-be-University), Hosur Main Road, Bhavani Nagar, SG Palya, Karnataka, Bengaluru, 560029, India
Leveraging ensemble learning for enhanced security in credit card transaction fraudulent within smart cities for cybersecurity challenges
Cyber security; Ensemble learning algorithms; Fraud; Fraud detection; Machine learning; Smart cities
In the age of digital transactions, credit cards have emerged as a prevalent form of payment in smart cities. However, the surge in online transactions has heightened the challenge of accurately discerning legitimate from fraudulent activities. This paper addresses this crucial concern by introducing a pioneering system for detecting fraudulent credit card transactions, particularly within highly imbalanced datasets, in the realm of cybersecurity. This paper proposes a hybrid model to effectively manage imbalanced data and enhance the detection of fraudulent transactions. This paper emphasizes the efficacy of the hybrid approach in proficiently identifying and mitigating fraudulent activities within highly imbalanced datasets, thereby contributing to the reduction of financial losses for both merchants and customers in smart cities. As cybersecurity in smart cities evolves, this paper underscores the significance of ensemble learning and cross-validation techniques in optimizing credit card transaction analysis and fortifying the security of digital payment systems. 2024, Taru Publications. All rights reserved.
Padhi B.K.; Chakravarty S.; Naik B.; Nayak S.R.; Poonia R.C.
Journal of Discrete Mathematical Sciences and Cryptography, Vol-27, No. 4, pp. 1233-1246.
https://doi.org/10.47974/JDMSC-1978 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197740854&doi=10.47974%2fJDMSC-1978&partnerID=40&md5=29845c968f21895411f72513c9cbd593
Padhi B.K., Department of Computer Science & Engineering, Centurion University of Technology & Management, Odisha, Bhubaneswar, 761211, India; Chakravarty S., Department of Computer Science & Engineering, Centurion University of Technology & Management, Odisha, Bhubaneswar, 761211, India; Naik B., Department of Computer Application, Veer Surendra Sai University of Technology, Odisha, Burla, 768018, India; Nayak S.R., School of Computer Engineering, KIIT Deemed to be University, Odisha, Bhubaneswar, 751024, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University) Delhi-NCR, Uttar Pradesh, Ghaziabad, 201003, India
Environmental and Sustainable Development Policies to Address the Pollution Catastrophe in India
Environment; India; policy; pollution; sustainable development
Although the environment, crops, water, air, food and fiber, control the weather, and supply oxygen, its air, water, and soil are polluted too. Humans have altered about 75% of the earth, reducing wildlife and nature's space and harming the environment. Industrialisation, urbanisation, population growth, and globalisation have affected people and the environment. This study aims to investigate the environmental and sustainable development-focussed policies to address the pollution catastrophe. The study is a content analysis of prominent online newspaper media reports from January 1, 2020, to November 30, 2022, on legal, environmental, and sustainable issues to reduce pollution and advocate an Indian environmental and sustainable development policy. Since pollution and environmental degradation pose significant threat to humanity, ecosystems, and sustainable living are at risk. Despite national and international legislative and regulatory actions, the environment remains a significant issue. An environmental strategy that encourages sustainable development for future generations is the need of the times. It was found that there were legal and environmental offenses, the management of unscientific treatment procedures, the lack of fundamental education about existing court orders, and fatality-induced health problems. Therefore, India needs an environmental and sustainable development policy to limit environmental concerns' fatality and protect the earth from pollution. 2024 - IOS Press. All rights reserved.
Asian Journal of Water, Environment and Pollution, Vol-21, No. 3, pp. 45-52.
https://doi.org/10.3233/AJW240033 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196502513&doi=10.3233%2fAJW240033&partnerID=40&md5=192acbb7621dd3cfe94fcb62abed26d3
Varghese S., Department of Sociology and Social Work, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India
Synthesis, characterization and application of rare earth (Lu3+) doped zinc ferrites in carbon monoxide gas sensing and supercapacitors
Carbon monoxide; Ferrites; Sensing; Supercapacitors
The novel rare earth (Lu) doped zinc ferrite nanoparticles, synthesized via a solution combustion approach, exhibit exceptional sensitivity to carbon monoxide (C.O.), a capability studied for the first time. The successful detection of C.O. by these nanoparticles underscores their potential as efficient gas sensors. Structural and morphological characterization confirmed the creation of single-phase zinc ferrite nanoparticles, utilizing various standard and advanced modern probes. To assess the gas sensing capabilities, the nanoparticles were exposed to carbon monoxide gas, revealing an outstanding gas response of 80 % at 300 C, with a response against 20,000 parts per million by volume (PPMv) of carbon monoxide. These results indicate the promising applicability of Lu-doped zinc ferrite nanoparticles in C.O. gas sensing applications. Furthermore, the supercapacitance performance of the synthesized nanoparticles was investigated. Electrodes fabricated from Lu-doped zinc ferrite nanoparticles (Lu 0, 0.3, 0.5, and 0.7) were examined in a 3 M K.O.H. electrolyte using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (E.I.S.). The electrochemical properties of all nanoparticles exhibited good Faradaic behaviour, with the Lu 0.7 electrode achieving a high specific capacitance of 280 F/g at a current density of 0.25 A/g. This highlights the prominent electrochemical stability and potential applications of Lu-doped zinc ferrite nanoparticles in energy storage devices. Overall, the comprehensive investigation of the gas sensing and super capacitance performance of Lu-doped zinc ferrite nanoparticles demonstrates their versatility and potential for various technological applications, including gas sensing and energy storage. These findings pave the way for further research and development in utilizing rare earth-doped ferrite nanoparticles for advanced functional materials. 2024 Elsevier Ltd and Techna Group S.r.l.
Nadaf S.; Chethan B.; Swathi K.M.; Laxmeshwar S.S.; Angadi V J.; Manjunatha K.; Vandana M.; Chattham N.; Hegde G.; Sharma K.; Sathish T.; Gupta M.; Ubaidullah M.; Pattar V.; Basavegowda N.; Wu S.Y.; Manjunatha S.O.; Bajorek A.
Ceramics International, Vol-50, No. 13, pp. 23208-23221.
https://doi.org/10.1016/j.ceramint.2024.04.045 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191003998&doi=10.1016%2fj.ceramint.2024.04.045&partnerID=40&md5=8712b78775a6fc912ac51b1bff83faa0
Nadaf S., Department of P. G. Studies in Chemistry, P. C. Jabin Science College, Hubballi, 31, India; Chethan B., Deparment of Physics, Indian Institute of Science, Bengaluru, 12, India; Swathi K.M., Department of P. G. Studies in Chemistry, P. C. Jabin Science College, Hubballi, 31, India; Laxmeshwar S.S., Department of P. G. Studies in Chemistry, P. C. Jabin Science College, Hubballi, 31, India; Angadi V J., Department of Physics, P. C. Jabin Science College, Hubballi, 31, India; Manjunatha K., Department of Physics, National Dong Hwa University, Hualien, 97401, Taiwan; Vandana M., Department of Physics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand; Chattham N., Department of Physics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Sharma K., Centre for Research Impact and Outcomes, Chitkara University, Punjab, Rajpura, India; Sathish T., Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, Chennai, India; Gupta M., Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, 174103, India; Ubaidullah M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Pattar V., Education Technology Unit, JNCASR, Bengalore, India; Basavegowda N., Department of Biotechnology, Yeungnam University, Gyeongbuk, Gyeongsan, 38541, South Korea; Wu S.Y., Department of Physics, National Dong Hwa University, Hualien, 97401, Taiwan; Manjunatha S.O., Department of Physics, B.M.S. College of Engineering, Bangalore, 560 019, India; Bajorek A., A. Che?kowski Institute of Physics, University of Silesia in Katowice, 75 Pu?ku Piechoty 1, Chorz, 41-500, Poland
Enhancing power conversion efficiency in five-level multilevel inverters using reduced switch topology
Efficiency; Inverter; Pulse width modulation; Reduced switch count; Total harmonic distortion
This paper presents extensive research on improving the power conversion efficiency of five-level multilevel inverters (MLIs) by utilizing a reduced switch topology. MLIs have received an abundance of focus because of their ability to generate high-quality output waveforms and have better harmonic outcomes than traditional two-level inverters. The high number of switches in MLIs, on the other hand, can result in increased power losses and lower overall efficiency. In this paper, a novel reduced switch topology for five-level MLIs, which is having five switches is proposed with the aim of minimizing power losses while preserving superior performance due to lesser number of switches. To achieve efficient power conversion, the proposed topology employs advanced pulse width modulation control strategies and optimized switching patterns. The simulation results show that the minimized switch topology improves the power conversion efficiency of the five-level MLI, resulting in lower losses and better overall system performance. The total harmonic distortion (THD) value of the output current has been reduced to 7.12% and the efficiency has been achieved to 96.92%. The findings of this investigation help to advance MLI technology, allowing for more efficient and reliable power conversion in a variety of applications such as renewable energy systems, electric vehicles, and industrial drives. 2024, Institute of Advanced Engineering and Science. All rights reserved.
Ezhilvannan P.; Ramasamy D.; Subramanian S.K.; Krishnan S.
Bulletin of Electrical Engineering and Informatics, Vol-13, No. 3, pp. 1495-1503.
Institute of Advanced Engineering and Science
https://doi.org/10.11591/eei.v13i3.6884 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196480092&doi=10.11591%2feei.v13i3.6884&partnerID=40&md5=b1e3a4b1437bc4cafa34c8584d2df5b1
Ezhilvannan P., Department of Electrical and Electronics Engineering, Mohan Babu University (Erst while Sree Vidyanikethan Engineering College), Tirupati, India; Ramasamy D., Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India; Subramanian S.K., Department of Electrical and Electronics Engineering, S.A. Engineering College, Chennai, India; Krishnan S., Department of Electrical and Electronics Engineering, Christ Deemed to be University, Bangalore, India
Sustainable Spending in Destinations : Factors Discouraging Tourists
discouraging factors; spending; sustainability; sustainable options; tourists
Purpose: This study investigated the factors influencing tourists sustainable spending behavior in tourism destinations aimed to provide insights for policymakers and businesses to promote sustainability. The research objectives included identifying key factors affecting sustainable spending, assessing their impact, and examining their implications. Methodology: A quantitative approach utilizing confirmatory factor analysis (CFA) was employed to analyze data collected from tourists visiting destinations. Findings: The major findings revealed six significant factors: Perceived costs, availability, awareness, convenience, hedonism & benefits, and culture, elucidating the complex interplay shaping sustainable spending behavior. Theoretical Implications: The importance of perceptions, awareness, and cultural norms in understanding tourists spending decisions has been found to be value added to the literature. A comprehensive measurement technique has been produced in the literature. Practical Implications: This study offered insights for marketers to address perceived cost concerns, enhance availability, and promote awareness of sustainable options. Policymakers could use these findings to formulate targeted policies and incentives to encourage sustainable spending. This research also contributed to advancing the understanding of sustainable tourism spending and provided actionable insights to promote sustainability in line with the United Nations Sustainable Development Goals (UNSDGs). 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Ravichandran S.S.; Koshy E.R.; Natarajan S.
Indian Journal of Finance, Vol-18, No. 7, pp. 60-70.
Associated Management Consultants Pvt. Ltd.
https://doi.org/10.17010/ijf/2024/v18i7/174033 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200360820&doi=10.17010%2fijf%2f2024%2fv18i7%2f174033&partnerID=40&md5=8e1fbb05d228a2bef1731415c3968bdd
Ravichandran S.S., Symbiosis Institute of Business Management (SIBM), Symbiosis International (Deemed University) (SIU), Electronic City, Hosur Road, Karnataka, Bengaluru, 560 100, India; Koshy E.R., Department of Professional Studies, School of Accounting and Finance, Christ (Deemed to be University), Central Campus, Hosur Road, Near Dairy Circle, Karnataka, Bengaluru, 560 029, India; Natarajan S., RV School of Business, RV University, RV Vidyanikethan Post, 8th Mile, Mysore Rd, Mailasandra, Karnataka, Bengaluru, 560 059, India
Complete analysis of differential cross section in 7 Li + ? ? ? 6 Li + n at astrophysical energies
Big Bang Nucleosynthesis; differential cross section; lithium Photodisintegration; photon polarization
We have carried out complete analysis of differential cross section in 7 Li + ? ? 6 Li + n using model-independent theoretical formalism. A complete analysis of the reaction involves measurements of not only one state of linear polarization of the photon but also another state of linear polarization inclined to the first at 45? and two states of circular polarization of the photon. An analytical study of the differential cross section including all the photon polarization states is carried out at near-threshold energies of interest to Big Bang Nucleosynthesis. 2024 IOP Publishing Ltd
Aswathi V.; Shastri V.; Shilpashree S.P.
https://doi.org/10.1088/1402-4896/ad57fd https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197441810&doi=10.1088%2f1402-4896%2fad57fd&partnerID=40&md5=7934ce0ee5374cf06c44b4c0aea78b65
Aswathi V., Department of Physics, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India; Shastri V., Department of Physics, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India; Shilpashree S.P., Department of Physics, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India
Digital twins' readiness anditsimpacts on supply chaintransparency andsustainable performance
Digital twins technology; Supply chain; Sustainable performance; Transparency
Purpose: Production systems occupy geographically dispersed organizations with limited visibility and transparency. Such limitations create operational inefficiencies across the Supply Chain (SC). Recently, researchers have started exploring applications of Digital Twins Technology (DTT) to improve SC operations. In this context, there is a need to provide comprehensive theoretical knowledge and frameworks to help stakeholders understand the adoption of DTT. This study aims to fulfill the research gap by empirically investigating DTT readiness to enable transparency in SC. Design/methodology/approach: A comprehensive literature survey was conducted to develop a theoretical model related to Supply Chain Transparency (SCT) and DTT readiness. Then, a questionnaire was developed based on the proposed theoretical model, and data was collected from Indian manufacturers. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural EquationModelling (SEM) to confirm the proposed relationships. Findings: The findings from the study confirmed a positive relationship between DTT implementation and SCT. This study reported that data readiness, perceived values and benefits of DTT, and organizational readiness and leadership support influence DTT readiness and further lead to SCT. Originality/value: This study contributes to the literature and knowledge by uniquely mapping and validating various interactions between DTT readiness and sustainable SC performance. 2024, Emerald Publishing Limited.
Patil A.; Srivastava S.; Paul S.K.; Dwivedi A.
Industrial Management and Data Systems, Vol-124, No. 8, pp. 2532-2566.
https://doi.org/10.1108/IMDS-10-2023-0767 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196487226&doi=10.1108%2fIMDS-10-2023-0767&partnerID=40&md5=e89e7723e8190d7ade4cd2d49a7aa37c
Patil A., International Management Institute, New Delhi, India; Srivastava S., Christ University, Bangalore, India; Paul S.K., UTS Business School, University of Technology Sydney, Sydney, Australia; Dwivedi A., Jindal Global Business School, Jindal Global University, OP, Sonipat, India
Deep Convolutional Neural Network Driven Interpolation Filter for High Efficiency Video Coding
deep Convolutional Neural Network; High Efficiency Video Coding; motion vectors; Super-Resolution Convolutional Neural Network
Research in video coding has gained significant importance in recent years, driven by the increasing demand for multimedia transmission. High Efficiency Video Coding (HEVC) has emerged as a prominent standard in this field. Interpolation is a crucial aspect of HEVC, particularly when using fixed half-pel interpolation filters derived from traditional signal processing techniques. In recent times, there has been an exploration of interpolation filters that are based on Convolutional Neural Networks (CNNs). Conventional signal processing techniques are used in traditional HEVC methods to employ fixed half-pel interpolation filters. Recent advancements have delved into the application of Convolutional Neural Networks (CNNs) to enhance interpolation performance. Our proposed method utilises a sophisticated CNN architecture specifically crafted to extract valuable features from low-resolution image patches and accurately predict high-resolution images. The network consists of multiple layers of CNN blocks, which utilise 1 and 3 convolutional kernels to enable efficient and thorough feature extraction through parallel processing. This architecture improves computational efficiency and greatly enhances prediction accuracy The suggested interpolation filter shows a 2.38% enhancement in bitrate savings, as evaluated by the BD-rate metric, specifically in the low delay P configuration. This highlights the potential of deep learning techniques in improving video coding efficiency. 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).
Mathematical Modelling of Engineering Problems, Vol-11, No. 7, pp. 1989-1995.
International Information and Engineering Technology Association
All Open Access; Hybrid Gold Open Access
https://doi.org/10.18280/mmep.110730 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200400661&doi=10.18280%2fmmep.110730&partnerID=40&md5=ff41a91628692ab38273224b549d6c21
Joy H.K., Department of Computer Science, CHRIST Deemed to be University, Bengaluru, 560029, India; Kounte M.R., School of ECE, REVA University, Bangaluru, 560064, India
Synthesis and electrochemical studies of 1,1-binaphthyl-2,2-diol for aqueous rechargeable lithium-ion battery applications
BINOL; CV; GCPL; Lithium-ion batteries; Organic electrode material; PEIS
The constant increase in the utilization of lithium-ion batteries (LIBs) in various field applications, including electrical vehicles and electronic devices, has led researchers to focus on their multiple path developments to obtain new electrode materials. The practical development of these electrode materials, based on organic and inorganic moieties, is challenging for various groups of LIB scientists. The concept of organic electrode materials is highly competitive with inorganic electrode materials because of the accessibility of more active sites with structural diversity, high energy and power density, environmental friendliness potential sustainability, and low cost. Herein, 1,1-binaphthyl-2,2-diol (BINOL) is investigated as an organic electrode material that contains two hydroxyl groups that act as active centers. The oxidative coupling process is employed to synthesize BINOL and so obtained product was characterized by using FT-IR, 1H-NMR and MASS techniques. The electrochemical investigations were carried out using sat. Li2SO4 electrolytic medium at three-electrode cell system. The Cyclic voltammetry (CV) has provided information on the anodic behavior of the material and its stability studied at different scan rates. The battery performance of the cell BINOL | Sat. Li2SO4 | LiMn2O4 by galvanostatic charge-discharge potential limit (GCPL) shows 197/171mAhg?1 specific capacity and 90% columbic efficiency. The electrochemical kinetic obtained by potentiostatic electrochemical impedance spectroscopy (PEIS) shows a semi-infinite diffusion process. 2024 Elsevier B.V.
C V M.; Shetty V.R.; Venkataramanappa Y.
https://doi.org/10.1016/j.synthmet.2024.117601 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190608936&doi=10.1016%2fj.synthmet.2024.117601&partnerID=40&md5=e3244f6a15e67304acae0f4dfaeec16c
C V M., PG-Department of Chemistry and Research Centre, NMKRV College for Women, Jayanagar, Karnataka, Bangalore, 560011, India; Shetty V.R., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bangalore, 560011, India; Venkataramanappa Y., PG-Department of Chemistry and Research Centre, NMKRV College for Women, Jayanagar, Karnataka, Bangalore, 560011, India
Synthesis and Characterization of WO3 Nanostructures by the Solvothermal Method for Electrochromic Applications
annealing; electrochromism; FTO substrates; solvothermal process; WO3
In this study, a tungsten trioxide (WO3) thin film was deposited by direct current (DC) sputtering onto a fluorine-doped tin oxide (FTO) substrate as the seed layer at an oxygen partial pressure of 8 10?4mbar. A simple solvothermal method involving tungsten hexacarbonyl (W(CO)6), ethanol (C2H5OH), and hydrochloric acid (HCl) was used to synthesize vertically stacked nanoscale WO3 hierarchical structures on WO3 seed-layered FTO. After the deposition process, the FTO samples with nanostructures were subjected to annealing in air at 400C for 4 h. After annealing, the surface morphology, structural characteristics, and optical and electrochromic properties of the grown nanostructures were investigated using scanning electron microscopy (SEM), x-ray diffraction (XRD), Raman spectroscopy, UVvisible spectroscopy, and electrochemical analysis. From the XRD analysis, all the diffraction patterns were ascribed to a monoclinic phase. The SEM analysis showed that films grown with 5?L HCl had a nanoflower structure compared to the films grown with 0?L HCl and 20?L HCl. The nanoflower-structured films showed a higher cathodic peak current (?2.22mA), diffusion coefficient (5.43 10?9 cm2/s), and coloration efficiency (23.6 cm2/C). The increased electrochromic characteristics were attributed to the nanostructured films, which enhanced the diffusion of H+ ions by providing a large surface area during the charge transfer process. The Minerals, Metals & Materials Society 2024.
Kamath K.; Kumar K.N.; Reddy G.V.A.; Shaik H.; Prabhu S.G.; Jafri R.I.; Shetty H.D.; Manjunatha K.B.
Journal of Electronic Materials, Vol-53, No. 8, pp. 4564-4574.
Kamath K., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India, Department of Physics, Nitte Mahalinga Adyanthaya Memorial Institute of Technology, Nitte (Deemed to be University), Karkala, 574110, India; Kumar K.N., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Reddy G.V.A., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Shaik H., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Prabhu S.G., Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Jafri R.I., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India; Shetty H.D., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Manjunatha K.B., Department of Physics, Nitte Mahalinga Adyanthaya Memorial Institute of Technology, Nitte (Deemed to be University), Karkala, 574110, India
Optimal design of controller for automatic voltage regulator performance enhancement: a survey
Automatic voltage regulator (AVR); Fraction order proportional integral derivative (FOPID) controller; Fuzzy logic controller; Intelligent controller; Nonlinear system; Optimization technique; Proportional integral derivative (PID) controller
For regulating the Synchronous Generator (SG) output voltage, the Automatic Voltage Regulator (AVR) system is a significant device. This work propounds a survey on Optimization Algorithms (OAs) utilized for tuning the controller parameters on the AVR system. A device wielded for adjusting the SGs Terminal Voltage (TV) is named AVR. A Controller is utilized for improving stability and getting a superior response by mitigating maximum Over Shoot (OS), reducing Rise Time (RT), reducing Settling Time (ST), and enhancing Steady State Error (SSE) since output voltage has a slower response and instability. The controllers utilized here are Proportional-Integral-Derivative (PID), Intelligent Controller (IC), along with Fraction Order PID (FOPID). Owing to the occurrence of time delays, nonlinear loads, variable operating points, and others, OAs are wielded for tuning the controller. (a) Particle Swarm Optimization (PSO), (b) Genetic Algorithm (GA), (c) Gray Wolf Optimizer (GWO), (d) Harmony Search Algorithm (HSA), (e) Artificial Bee Colony (ABC), (f) Teaching Learned Based Optimization (TLBO), et cetera are the various sorts of OA. For enhancing the TV response along with stability, various OAs were tried by researchers. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
Electrical Engineering, Vol-106, No. 4, pp. 3705-3720.
Sivanandhan A., Department of Electronics and Communication Engineering, CHRIST [Deemed to be University], Bengaluru, India; Thriveni G., Department of Electronics and Communication Engineering, CHRIST [Deemed to be University], Bengaluru, India