Speech to text conversion and summarization for effective understanding and documentation
Feature extraction; Natural language processing; Natural language toolkit; Speech recognition; Text summarization
Speech, is the most powerful way of communication with which human beings express their thoughts and feelings through different languages. The features of speech differs with each language. However, even while communicating in the same language, the pace and the dialect varies with each person. This creates difficulty in understanding the conveyed message for some people. Sometimes lengthy speeches are also quite difficult to follow due to reasons such as different pronunciation, pace and so on. Speech recognition which is an inter disciplinary field of computational linguistics aids in developing technologies that empowers the recognition and translation of speech into text. Text summarization extracts the utmost important information from a source which is a text and provides the adequate summary of the same. The research work presented in this paper describes an easy and effective method for speech recognition. The speech is converted to the corresponding text and produces summarized text. This has various applications like lecture notes creation, summarizing catalogues for lengthy documents and so on. Extensive experimentation is performed to validate the efficiency of the proposed method. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 3642-3648.
Institute of Advanced Engineering and Science
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.11591/ijece.v9i5.pp3642-3648 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067333391&doi=10.11591%2fijece.v9i5.pp3642-3648&partnerID=40&md5=fb9c442c4f09cff8672d05fa8141e388
Vinnarasu A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Jose D.V., Department of Computer Science, CHRIST (Deemed to be University), India
Spherulitic crystallization of ?-In2Te3 by physical vapour deposition
chalcogenides; PVD; SEM; spherulites; supersaturation; XRD
Different morphologies of indium telluride (In2Te3) including novel spherulites were crystallized using the physical vapour deposition (PVD) method, by varying the difference in the growth and source zone temperature (?T) of a dual zone horizontal furnace assembled indigenously. Whiskers and kinked needles of In2Te3were grown at ?T = 250 K and 300 K respectively, maintaining the growth zone at 500 C. At high supersaturation (? T = 400 K), spherulitic crystals were obtained. The stoichiometric composition of these crystals has been confirmed using energy dispersive analysis by x-rays (EDAX). The structure of ?-In2Te3 spherulitic crystals is identified as zinc blende with lattice parameter a = 6.159 from x-ray diffraction (XRD) studies. The scanning electron microscope (SEM) images revealed the radial structure of the grown spherulites. The growth mechanism for the spherulitic crystallization of ?-In2Te3 crystals has been discussed based on the theoretical models. Copyright 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Reshmi P.M.; Kunjomana A.G.; Chandrasekharan K.A.
Crystal Research and Technology, Vol-46, No. 2, pp. 153-158.
https://doi.org/10.1002/crat.201000183 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79251521501&doi=10.1002%2fcrat.201000183&partnerID=40&md5=d0a5dceef31a36d520dfa6328077872c
Reshmi P.M., Crystal Research Centre, Department of Physics, Christ University, Bangalore 560 029, India; Kunjomana A.G., Crystal Research Centre, Department of Physics, Christ University, Bangalore 560 029, India; Chandrasekharan K.A., Crystal Research Centre, Department of Physics, Christ University, Bangalore 560 029, India
Spider Monkey Crow Optimization Algorithm with Deep Learning for Sentiment Classification and Information Retrieval
deep recurrent neural network; fuzzy K-nearest neighbours; information retrieval; Sentiment classification; SentiWordNet
The epidemic increase in online reviews' growth made the sentiment classification a fascinating domain in academic and industrial research. The reviews assist several domains, which is complicated to gather annotated training data. Several sentiment classification methodologies are devised for performing the sentiment analysis, but retrieval of information is not accurately performed, less effective, and less convergence speed. In this paper, we propose a sentiment paper proposes a sentiment classification model, namely Spider Monkey Crow Optimization algorithm (SMCA), for training the deep recurrent neural network (DeepRNN). In this method, the telecom review is employed to remove stop words and stemming to eliminate inappropriate data to minimize user's seeking time. Meanwhile, the feature extraction is performed using SentiWordNet to derive the sentiments from the reviews. The extracted SentiWordNet features and other features, like elongated words, punctuation, hashtag, and numerical values, are employed in the DeepRNN for classifying sentiments. To retrieve the required review, the Fuzzy K-Nearest neighbor (Fuzzy-KNN) is employed to retrieve the review based on a distance measure. With rigorous assessments and experimentation, it is observed that the proposed SMCA-based DeepRNN performs better in terms of accuracy of 97.7%, precision of 95.5%, recall of 94.6%, and F1-score 96.7%, respectively. 2013 IEEE.
Chugh A.; Sharma V.K.; Kumar S.; Nayyar A.; Qureshi B.; Bhatia M.K.; Jain C.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ACCESS.2021.3055507 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100446997&doi=10.1109%2fACCESS.2021.3055507&partnerID=40&md5=5421afa26c8899d6b4ae87187b1fd302
Chugh A., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Gurugram, 122413, India; Sharma V.K., Faculty of Engineering and Technology, Jagannath University, Jaipur, 303901, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; Nayyar A., Graduate School, Duy Tan University, Da Nang, 550000, Viet Nam, Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Viet Nam; Qureshi B., Department of Computer Science, Prince Sultan University, Riyadh, 11586, Saudi Arabia; Bhatia M.K., Department of Computer Science, Jagan Institute of Management Studies, Delhi, 110085, India; Jain C., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Gurugram, 122413, India
Spiking neural network with blockchain for tampered image detection using forensic steganography images
Forensic steganography; Legitimacy; Misleading images; SNN blockchain; Steganography; Tampered image detection
Accurate tools are required to acknowledge misleading images in order to maintain image legitimacy, and these tools must allow for legal operations on images. Additionally, after posting their images to the Internet, image owners lose rights over the images because there are no measures in place to safeguard them from misuse. One of the most well-liked techniques for addressing copyright disputes is the use of steganography technologies. The embedded steganography images can, sadly, be easily altered or deleted. To address this problem, this work presents the spiking neural network (SNN) with blockchain for tampered image detection utilizing forensic steganography images. Forensic steganography images that have been altered can be found with this SNN. Using steganography images from the database, SNN is trained in this model. The blockchain stores the owners access policies. The Python platform is used to implement the proposed strategy. F-measure, specificity, accuracy, precision, recall false positive rate (FPR), and false negative rate (FNR) are used to gauge how well the proposed approach performs. When compared to state-of-the-art approaches, the proposed approach obtained an impressive rise of 98.65%, in classification accuracy. 2024 Institute of Advanced Engineering and Science. All rights reserved.
Indonesian Journal of Electrical Engineering and Computer Science, Vol-36, No. 1, pp. 477-485.
https://doi.org/10.11591/ijeecs.v36.i1.pp477-485 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199904518&doi=10.11591%2fijeecs.v36.i1.pp477-485&partnerID=40&md5=a05536e84e9b97df9ba193aa36b3979b
Basavanyappa G.S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Danti A.
Spiritual Dispositional Coping and Health Hardiness on Stress and Related Illnesses: Aftermath COVID-19
The COVID-19 pandemic has caused an array of challenges that have taken a significant toll on psychological well-being and health. Public fear-mongering, hopelessness, and uncertainty have contributed to many negative emotions during the pandemic. The psychological ramifications of these emotions include stress, anxiety, and depression. The extreme stress that people experienced caused mental conditions like post-pandemic stress disorder. Literature suggests there is also an increased susceptibility to stress-related chronic illness. Another major concern post-coronavirus contraction is long COVID (post-acute sequelae of SARS-CoV-2 infection, or PASC), which further leads to complications impacting physical, cognitive, and mental health dimensions and multiple organ system syndromes. As a result of this predicament, there is an increased reliance on various complementary and alternative approaches and interventions for engaging in health-promoting behaviours. The chapter focuses on how spiritual dispositional coping and health hardiness can be used as health protective measures. It also focuses on various strategies that spiritual dispositional coping and health hardiness offer for overall well-being and better adaptation to post-pandemic complications. Therefore, this chapter aims to understand the pandemics stress-related health consequences, re-affirm the relationship between health hardiness and spiritual dispositions, and demonstrate how combining these strategies will provide effective coping methods. 2025 selection and editorial matter, Dr Uzaina, Dr Rajesh Verma with Dr Ruchi Pandey; individual chapters, the contributors.
The Psychological After-Effects of Covid: Post-Pandemic Complications and Interventions in India, pp. 108-121.
Toor I.K., Department of Psychology, Christ (Deemed to be University), India; Rastogi K., Department of Psychology, CHRIST (Deemed to be University), Delhi, NCR, India
Spiritual Intelligence and Spiritual Care in Nursing Practice: A Bibliometric Review
Bibliometric analysis; Bibliometric indicators; Healthcare; Nursing; Spiritual care; Spiritual intelligence; Spiritual quotient
Spiritual intelligence (SI) has recently gained traction in various fields, including nursing. Given the increasing emphasis on patient-centred care and the holistic well-being of patients and nurses, SI is particularly relevant in nursing practice. A bibliometric analysis of recent publications (20142024) in the field helps synthesise and evaluate the existing research on SI in the general field of nursing, identify literature gaps, suggest future research directions and raise awareness of the importance of SI in nursing practice. The present study reports bibliometric data (n = 461) from the Scopus database on SI, spiritual quotient and spiritual care in nursing and health care. The data are analysed using MS Excel and VOSviewer software. The publications trend analysis revealed a significant increase in SI-related publications since 2015. The study presents top-cited articles. Journal of Religion and Health was found to be a prominent journal with the maximum number of publications, and Sage was found to be the top publisher of journals with articles on SI. Network visualisation reveals central figures such as Wilfred McSherry, Trove Giske, Elizabeth Johnston Taylor, Fiona Timmins, Silvia Caldeira and Linda Ross as key researchers in the field. The United States and Iran have the most substantial connections of authors publishing on SI. This study reveals an increasing interest in SI and care within nursing research, confirming its growing significance in the field. By reporting areas where research on SI in nursing remains underdeveloped, the study paves the way for the development of new or updated curricula in nursing programs. The study can guide faculty development initiatives by highlighting the importance of SI and providing resources for educators to incorporate these concepts into their teaching. This study presents specific research questions to address these knowledge gaps. Future studies which can address these questions will enrich nursing education and practice, leading to improved patient outcomes and enhanced nurse well-being using the full potential of SI in nursing practice. 2024 Published by Scientific Scholar on behalf of Indian Journal of Palliative Care.
Indian Journal of Palliative Care, Vol-30, No. 4, pp. 304-314.
https://doi.org/10.25259/IJPC_155_2024 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210966001&doi=10.25259%2fIJPC_155_2024&partnerID=40&md5=096c790ffc9efe266becb69491ef0d78
Stiliya J.K., Department of Psychology, Christ University, Karnataka, Bengaluru, India; Antony J.M., Department of Psychology, Christ University, Karnataka, Bengaluru, India; Joseph J., Department of Psychology, Christ University, Karnataka, Bengaluru, India
Spirocyclic isatin-derivative analogues: Solvation, structural, electronic, topological, reactivity properties, and anti-leukaemic biological evaluation
The present work investigates, via computational methods, three spirocyclic isatin derivatives with ?-methylene-?-butyrolactone cores, whose synthesis, experimental data and structural-activity relationships have been reported, to compare their properties and biological action. DFT (Density Functional Theory) studies, including geometry optimisation, FMO Analysis, theoretical UV spectral analysis, NBO and NLO studies, are performed using Gaussian 09 W with a standard basis set. The IEFPCM model is employed to investigate the solvent effect on the reactivity and stability of the compounds. Topological analyses are also performed, including ELF, LOL, RDG and charge transfer studies. ADME profiling is performed using SwissADME online tool. Anti-leukaemic target proteins are selected and docked with the title compounds to understand their suitability to act against leukaemic conditions. 2023 Elsevier B.V.
Parakkal S.C.; Lalnunfeli H.; Sidan S.; Datta R.
Computational and Theoretical Chemistry, Vol-1225
https://doi.org/10.1016/j.comptc.2023.114163 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159922952&doi=10.1016%2fj.comptc.2023.114163&partnerID=40&md5=b679208b0cb0b482152956bce58492c4
Parakkal S.C., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Lalnunfeli H., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Sidan S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Datta R., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India
Spoken Language Identification using Deep Learning
deep neural network; Language identification; major indian spoken languages; mel-frequency cepstral coefficients; spoken language
A crucial problem in natural language processing is language identification, which has applications in speech recognition, translation services, and multilingual content. The five main Indian languages that are the subject of this study are Hindi, Bengali, Tamil, English, and Gujarati. A Deep Neural Network is introduced in the paper which is specifically made to use Mel-Frequency Cepstral Coefficients (MFCCs) for sophisticated language categorization. The suggested architecture of the model, which includes batch normalisation and tightly linked layers, helps it to be adept at identifying complex linguistic patterns. Comparing the research to the source work [18], promising improvements are shown, highlighting the potential of the model in language detection. 2024 IEEE.
Julius C.A.; Vijayalakshmi S.; Palathara T.S.
2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024
Julius C.A., Christ University, Deparment of Data Science, Lavasa, Pune, India; Vijayalakshmi S., Christ University, Deparment of Data Science, Lavasa, Pune, India; Palathara T.S., Christ University, Deparment of Data Science, Lavasa, Pune, India
Spontaneous hydrogen production using gadolinium telluride
Inorganic materials; Materials chemistry; Materials science
Developing materials for controlled hydrogen production through water splitting is one of the most promising ways to meet current energy demand. Here, we demonstrate spontaneous and green production of hydrogen at high evolution rate using gadolinium telluride (GdTe) under ambient conditions. The spent materials can be reused after melting, which regain the original activity of the pristine sample. The phase formation and reusability are supported by the thermodynamics calculations. The theoretical calculation reveals ultralow activation energy for hydrogen production using GdTe caused by charge transfer from Te to Gd. Production of highly pure and instantaneous hydrogen by GdTe could accelerate green and sustainable energy conversion technologies. 2023
Kumbhakar P.; Parui A.; Dhakar S.; Paliwal M.; Behera R.; Gautam A.R.S.; Roy S.; Ajayan P.M.; Sharma S.; Singh A.K.; Tiwary C.S.
https://doi.org/10.1016/j.isci.2023.106510 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152270299&doi=10.1016%2fj.isci.2023.106510&partnerID=40&md5=dc0a9be5b26c1ee8d1ae74b7414adf75
Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Parui A., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Dhakar S., Department of Chemistry, Indian Institute of Technology Gandhinagar, Gandhinagar, 382355, India; Paliwal M., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India; Behera R., Materials Engineering, Indian Institute of Technology, Gandhinagar, 382355, India; Gautam A.R.S., Materials Engineering, Indian Institute of Technology, Gandhinagar, 382355, India; Roy S., Department of Materials Science and NanoEngineering, Rice University, Houston, 77005, TX, United States; Ajayan P.M., Department of Materials Science and NanoEngineering, Rice University, Houston, 77005, TX, United States; Sharma S., Department of Chemistry, Indian Institute of Technology Gandhinagar, Gandhinagar, 382355, India; Singh A.K., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Tiwary C.S., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
Spoofing Face Detection Using Novel Edge-Net Autoencoder for Security
auto-encoder; digital security; edge detection; edge net; face authentication; Image processing
Recent security applications in mobile technologies and computer systems use face recognition for high-end security. Despite numerous security tech-niques, face recognition is considered a high-security control. Developers fuse and carry out face identification as an access authority into these applications. Still, face identification authentication is sensitive to attacks with a 2-D photo image or captured video to access the system as an authorized user. In the existing spoofing detection algorithm, there was some loss in the recreation of images. This research proposes an unobtrusive technique to detect face spoofing attacks that apply a single frame of the sequenced set of frames to overcome the above-said problems. This research offers a novel Edge-Net autoencoder to select convoluted and dominant features of the input diffused structure. First, this pro-posedmethodistestedwiththeCross-ethnicityFaceAnti-spoofing (CASIA), Fetal alcohol spectrum disorders (FASD) dataset. This database has three models of attacks: distorted photographs in printed form, photographs with removed eyes portion, and video attacks. The images are taken with three different quality cameras: low, average, and high-quality real and spoofed images. An extensive experimental study was performed with CASIA-FASD, 3 Diagnostic Machine Aid-Digital (DMAD) dataset that proved higher results when compared to existing algorithms. 2023, Tech Science Press. All rights reserved.
Alharbi A.H.; Karthick S.; Venkatachalam K.; Abouhawwash M.; Khafaga D.S.
Intelligent Automation and Soft Computing, Vol-35, No. 3, pp. 2773-2787.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.32604/iasc.2023.030763 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137350144&doi=10.32604%2fiasc.2023.030763&partnerID=40&md5=a2d99d8905f8911367cd4774450a6eb4
Alharbi A.H., Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia; Karthick S., Department of Electrical Electronics and Communication Engineering, GITAM School of Technology, GITAM Deemed to be University, Bengaluru Campus, Karnataka, 560065, India; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Abouhawwash M., Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt, Department of Computational Mathematics, Science, and Engineering (CMSE), Michigan State University, East Lansing, 48824, MI, United States; Khafaga D.S., Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
SPORTS FANDOM AND CONSUMER BUYING BEHAVIOUR
The dissertation aims to find whether the features of sports celebrity endorsements such as- credibility, ensured attention, high degree of recall of the product or service, psychographic connect, associative benefit, motivate a fan specifically, in this case, in their purchase decisions. It is an attempt to understand whether fan clubs, fans and fan cultures are unreceptive to the propagation of celebrity endorsements of products and services through conventional and unconventional advertising. The research aims to identify whether fandom of any kind influences their buying decisions. The theory employed in this research is the Two Step Flow theory of communication, wherein sports stars act as opinion leaders in advertising influence.The research is an attempt to understand if the growing sports celebrity brand endorsements actually have an effect on the buyer to the extent of buying decisions. By the end of the research conducted with the help of questionnaires that were administered to the target audience, the researcher aims to arrive at the conclusion, whether sports fandom indeed affects consumer buying patterns.
Sports Tourism and Community Development: Exploring the Links and Sentiments
Community development; SDG11; Sports events; Sports tourism; Sustainable communities
Sports tourism has emerged as one of the most effective forms of tourism through its ability to satisfy the need of modern-day tourists who prioritize novelty, engagement, and experience. Meanwhile, the sustainable community (development) agenda is also parallelly getting its due attention in the form of SDG11. Recently, the power of sports tourism and events in harnessing community development has been discussed in various patches. However, the structure and mechanism of this growing linkage are rarely discussed holistically, making generalizability a challenging goal to achieve. Further, the aspect of sustainability needs to be studied more. In this regard, the authors of this chapter have attempted to develop a conceptual framework mapping the linkages of sports events and community development, keeping the sustainability agenda in the backdrop. Further, sentiment analysis through NVivo has been performed on all significant works to understand the general sentiments across various communities regarding sports tourism contributing to their development. While the framework development objective is conceptual in nature, the retrieval of the significant themes and sentiments is attained through analytical research. It is concluded that the impacts of sports tourism and events on communities align with the three (triple) bottom lines of sustainable development, i.e., economic, sociocultural, and environmental. These influences result in the sustainable development of the communities. Sentiment analysis points toward the positive sentiment for sports tourism resulting in community development in most cases analyzed. This research will assist both academicians and practitioners in better understanding the linkage between sports tourism and community development and devise measures to make this linkage more sustainable. Springer Nature Singapore Pte Ltd 2024.
Springer International Handbooks of Education, Vol-Part F3475, pp. 1171-1189.
Sarkar B., Department of Business and Management, Christ University, Bangalore, India; Mohanty P., Department of Business and Management, Christ University, Bangalore, India; Nagarjuna G., Department of Tourism Management, Christ University, Bangalore, India
SPP1, a potential therapeutic target and biomarker for lung cancer: functional insights through computational studies
gene expression analysis; gene network analysis; Lung cancer; molecular docking; molecular dynamics simulation
NIH reported 128 different types of cancer of which lung cancer is the leading cause of mortality. Globally, it is estimated that on average one in every seventeen hospitalized patients was deceased. There are plenty of studies that have been reported on lung cancer draggability and therapeutics, but yet a protein that plays a central specific to cure the disease remains unclear. So, this study is designed to identify the possible therapeutic targets and biomarkers that can be used for the potential treatment of lung cancers. In order to identify differentially expressed genes, 39 microarray datasets of lung cancer patients were obtained from various demographic regions of the GEO database available at NCBI. After annotating statistically, 6229 up-regulated genes and 10324 down-regulated genes were found. Out of 17 up-regulated genes and significant genes, we selected SPP1 (osteopontin) through virtual screening studies. We found functional interactions with the other cancer-associated genes such as VEGF, FGA, JUN, EGFR, and TGFB1. For the virtual screening studies,198 biological compounds were retrieved from the ACNPD database and docked with SPP1 protein (PDBID: 3DSF). In the results, two highly potential compounds secoisolariciresinol diglucoside (-12.9 kcal/mol), and Hesperidin (-12.0 kcal/mol) showed the highest binding affinity. The stability of the complex was accessed by 100 ns simulation in an SPC water model. From the functional insights obtained through these computational studies, we report that SPP1 could be a potential biomarker and successive therapeutic protein target for lung cancer treatment. 2023 Informa UK Limited, trading as Taylor & Francis Group.
Annadurai Y.; Easwaran M.; Sundar S.; Thangamani L.; Meyyazhagan A.; Malaisamy A.; Natarajan J.; Piramanayagam S.
Journal of Biomolecular Structure and Dynamics, Vol-42, No. 3, pp. 1336-1351.
ISSN: 7391102; PubMed ID: 37096999; CODEN: JBSDD
Annadurai Y., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Easwaran M., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Sundar S., Department of Biotechnology, PSG College of Technology, Tamil Nadu, Coimbatore, India; Thangamani L., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Meyyazhagan A., Dipartimento di Medicina e Chirurgia, Universitdi Perugia, Perugia, Italy, Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India, Department of Translation Medicine and Surgery, Perugia University, Perugia, Italy; Malaisamy A., Transcription Regulation Group, International centre for Genetic Engineering and Biotechnology, New Delhi, India; Natarajan J., Text Mining Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Piramanayagam S., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India
Spray dried nano oxide ceramics for free flowing plasma spray coating powders and battery material processing
Advanced materials are widely used in electronics, aerospace and automobile industry devices and also in substances synthesized for food, medical and pharmaceutical industries. The quality of the base material powder has high influence on the resulting material body (the product) which goes into the manufacture of the device. To name a few (a) flowable ceramic powders from agglomerated nano ceramic powders for plasma spray coatings with the right sprayable powder characteristics (b) advanced graphene encapsulated nano ceramic oxide powders with uniform conductive coating layers as promising electrodes in Li-Ion batteries, (c) advanced bio-ceramic oxides such as hydroxy-apatite ceramic materials with right amounts of moisture, density and composition consistency as bone and dental implants in bio-ceramics research are examples. Among the many processing methods to achieve the base powders from nano ceramic raw materials the most capable and efficient is 'Spray Drying' which results in powders with high purity with well-defined properties. Complex composite by spray drying is achieved where the 'matrix host' material is encapsulated by the 'guest layer' with special properties. This paper illustrates results pertaining to experimentation via spray drying and microscopic investigation by using SEM associated with EDS on (a) Yttria stabilized zirconia plasma sprayable powders for Thermal Barrier Coatings application and (b) nano yttria stabilized zirconia incorporated into microns sized alumina powders for enhanced densification, to understand the significant role of process parameters on uniformity and consistency of the spray dried products. Information based on review on spray dried Li-ion battery materials is also included. Published under licence by IOP Publishing Ltd.
Bhattacharjee S.; Srivastava Y.; Reghu V.R.; Ramaswamy P.
Journal of Physics: Conference Series, Vol-1706, No. 1
Bhattacharjee S., Department of Mechanical and Automobile Engineering; Srivastava Y., Department of Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India; Reghu V.R., Department of Mechanical and Automobile Engineering; Ramaswamy P., Department of Mechanical and Automobile Engineering
SPREADING RELIGION AND CULTURE THROUGH INTERNET MEMES
Digital Culture; Ethical Memes; Internet Memes; Participatory Culture; Religious Memes
This paper delves into the use of Internet memes as a means of spreading religion and ethical values in modern society. With the rise of the Internet and social media, memes have gained popularity as a form of shared content with the ability to convey meaningful messages. The research evaluates the prevalence and impact of memes in religious and ethical contexts. Through this research, the authors present their viewpoint after mulling over the findings of authors like Limor Shifman. The study asserts that memes can facilitate discussions, promote religious literacy, reinforce beliefs, and instil ethical values. Additionally, it anticipates that religious and ethical memes may influence individuals' actions in their daily lives. This research is significant as it examines the potential of memes to serve as a contemporary tool for spreading religion and ethics in a digital world. 2023 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore),.
Journal of Dharma, Vol-48, No. 4, pp. 531-548.
Rathi N., CHRIST (DEEMED TO BE) University, Commerce Department, Bangalore, India; Jain P., CHRIST (Deemed to be University), Bangalore, India
Sprouting in Seeds Aided by Nitrogen Sourced from Ammonia Fumes Leached from Aluminum Dross
Alkaline soil; Aluminum dross; Ammonia; Fertile soil; Leaching; Seed sprouting
Nitrogen and water are nutrients essential for the sprouting of seeds and healthy growth of plants. The seeds derive nitrogen from ammonia (NH3), found in ammonium hydroxide commonly added as manure to the soil. In a materials synthesis process, NH3 gas was released when Aluminum-dross (Al-dross), a hazardous industrial foundry waste was beneficiated to extract useful materials (metallic Al, oxides of Al and Mg, etc.) from the waste. Chemical tests, SEM with EDS and XRD were used to characterize sieved black Al-dross (starting raw material) before and after the beneficiation process. Al-dross also contained significant quantities of aluminum nitride (AlN). When treated with an aqueous media (plain or carbonated water), the AlN reacted to release NH3 gas fumes. This work explored the potential of using this gas to act as a source of nitrogen to accelerate the sprouting of seeds and plant germination. Vegetable and fruit seeds were sown in the soil that was directly infused with the NH3 released from Al-dross for two hours, followed by several (8 to 12) hours of self-diffusion time for homogeneous distribution of the gas in the soil. Five pairs of soils (untreated regular and NH3 fumes treated soils) were prepared under similar conditions. 5 different vegetable and fruit seedlings were planted in these pairs of soils. The germination patterns and growth of the sprouts with time were observed. The seeds that preferred an alkaline environment for germination (e.g., ridge gourd and watermelon seeds) sprouted early and in good health in the NH3 treated soil. Seeds preferring acidic soils did not germinate well in NH3 fume-infused soils. The experiments confirmed the viability of the novel concept, where the waste ammonia fumes released from Al-dross could be favorably generated and used in a controlled manner to promote sprouting of certain agricultural seedlings. 2023 Elsevier Ltd. All rights reserved.
https://doi.org/10.1016/j.matpr.2023.01.289 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148425479&doi=10.1016%2fj.matpr.2023.01.289&partnerID=40&md5=1726aedbfd9310c435d0a97b77bc7cbf
Gomes S.A., Department of Mechanical & Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore 560074, India; Reghu V.R., Department of Mechanical & Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore 560074, India; Ramaswamy P., Department of Mechanical & Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore 560074, India
Sputter deposited tungsten oxide thin films and nanopillars: Electrochromic perspective
Coloration efficiency; Glad; Partial pressures; Planar; Sputtering; Tungsten oxide (WO3)
Tungsten oxide (WO3) thin films and nano pillars were grown on FTO and corning substrates by using DC magnetron sputtering. Structural properties, surface morphology, optical properties, and electrochromic properties were systematically characterized by using SEM, XRD, UVVis Spectrometer, and Electrochemical Analyser respectively. Increased oxygen partial pressure resulted a rise in the optical transmittance from 72% to 89% at a wavelength of 600 nm. Moreover, coloration efficiency was also found to vary with partial pressures for both planar and glad from 30.48 cm2C-1 to 78.36 cm2C-1. We observe that glad deposited nano pillars showing higher coloration efficiency as compared to the planar thin film. The coloration efficiency found for the planar thin film and nano pillars at optimized partial pressure are 37.04 cm2C-1 and 78.36 cm2C-1 respectively. A strong influence of oxygen partial pressure and surface to volume ratio has been observed on the coloration efficiency, which can play a major role in the electrochromic application. 2022 Elsevier B.V.
Naveen Kumar K.; Shaik H.; Gupta J.; Sattar S.A.; Jafri R.I.; Pawar A.; Madhavi V.; G V A.R.; G N.
Materials Chemistry and Physics, Vol-278
https://doi.org/10.1016/j.matchemphys.2022.125706 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122638192&doi=10.1016%2fj.matchemphys.2022.125706&partnerID=40&md5=09a748c8c40e2ec1b1a8bfc77ec3b189
Naveen Kumar K., 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; 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; Gupta J., 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; Sattar S.A., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Jafri R.I., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India; Pawar A., Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India, Department of Electronics and Communications Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Madhavi V., Interdisciplinary Centre for Energy Research, Indian Institute of Science, Bengaluru, 560012, India; G V A.R., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India, Department of Physics, SJB Institute of Technology, Kengeri, Bengaluru, 560060, Karnataka, India; G N., Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India, Department of Electronics and Communications Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India
SR-Mine: Adaptive Transaction Compression Method for Frequent Itemsets Mining
Compressed transactions; FP-tree; FPclose; PrePost+; Size reduced mining; SR-Mine
Extraction of frequent itemsets is a key step in association rule mining. Frequent Pattern (FP) mining from a very large dataset is still a challenging research problem. The basic frequent itemset algorithms are Apriori and FP-growth. FP-growth uses Frequent Pattern Tree (FP-tree) to store the database information in a compressed form. A large number of research papers have been proposed as an improvement of the basic frequent itemset mining algorithms. Several researchers have proposed modifications to existing data structures as well as new data structures to improve the mining process. A new method, Size Reduced Mining (SR-Mine), is proposed to speed up the FP-tree creation. The proposed work is implemented with the basic FP-growth algorithm and with the other two recent algorithms based on FP-tree. The three modified algorithms have been tested with standard datasets and compared with the original algorithms. The proposed method can be applied with the frequent itemset mining algorithms which consider each transaction one by one to construct a data structure for mining. The experimental results show that the proposed method can improve the performance of the mining. 2021, King Fahd University of Petroleum & Minerals.
Arabian Journal for Science and Engineering, Vol-47, No. 8, pp. 9641-9657.
Springer Science and Business Media Deutschland GmbH
Jamsheela O., EMEA College of Arts and Science, Kondotty, India; Raju G., Christ College, School of Engineering and Technology, Christ University, Bengaluru, India
Stability Analyses of BrinkmanBard Convection in Hybrid-Nanoliquid Saturated-Porous Medium Using Local Thermal Non-equilibrium Model
BrinkmanBard convection; Hybrid nanoliquid; Local thermal non-equilibrium; Porous medium; Stability analysis
This paper carries out linear and weakly non-linear stability analyses of natural convection in a Newtonian hybrid-nanoliquid saturated porous medium. The Boussinesq approximation is assumed to be valid in the study, and a two-phase energy model is used. The weighted residual Galerkin technique is employed to obtain the expression for the Rayleigh number and Lorenz model by using a truncated double Fourier series solution. The quadratic non-linear Lorenz model is solved numerically by using the RungeKuttaFehlberg method. Water is considered as a carrier liquid, and copper and alumina nanoparticles are considered with dilute concentration. Linear stability analysis reveals the onset of convection prepones in a hybrid nanoliquid-saturated porous medium. The amount of heat transport is maximum in a hybrid nanoliquid saturated porous medium and minimum in a liquid-saturated porous medium. Local thermal non-equilibrium situation ceases at higher rates of interphase heat transfer coefficient. The assumption of local thermal non-equilibrium is prominent in hybrid nanoliquid saturated porous medium. The results of the hybrid-nanoliquid channel, a hybrid nanoliquid saturated porous medium with the local thermal assumption, are presented as a limiting case of the study. 2024, The Author(s), under exclusive licence to Springer Nature India Private Limited.
International Journal of Applied and Computational Mathematics, Vol-10, No. 1
Siddabasappa C., Department of Sciences and Humanities, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 074, India; Sakshath T.N., Department of Mathematics, R V College of Engineering, Mysore Road, RV Vidyaniketan Post, Karnataka, Bangalore, 560 059, India
Stability Analysis and Navigational Techniques of Wheeled Mobile Robot: A Review
dynamic analysis; kinematic analysis; navigation; path planning; WMR
Wheeled mobile robots (WMRs) have been a focus of research for several decades, particularly concerning navigation strategies in static and dynamic environments. This review article carefully examines the extensive academic efforts spanning several decades addressing navigational complexities in the context of WMR route analysis. Several approaches have been explored by various researchers, with a notable emphasis on the inclusion of stability and intelligent capabilities in WMR controllers attracting the attention of the academic community. This study traces historical and contemporary WMR research, including the establishment of kinetic stability and the construction of intelligent WMR controllers. WMRs have gained prominence in various applications, with precise navigation and efficient control forming the basic prerequisites for their effective performance. The review presents a comprehensive overview of stability analysis and navigation techniques tailored for WMRs. Initially, the exposition covers the basic principles of WMR dynamics and kinematics, explaining the different wheel types and their associated constraints. Subsequently, various stability analysis approaches, such as Lyapunov stability analysis and passivation-based control, are discussed in depth in the context of WMRs. Starting an exploration of navigation techniques, the review highlights important aspects including path planning and obstacle avoidance, localization and mapping, and trajectory tracking. These techniques are carefully examined in both indoor and outdoor settings, revealing their benefits and limitations. Finally, the review ends with a comprehensive discussion of the current challenges and possible routes in the field of WMR. The discourse includes the fusion of advanced sensors and state-of-the-art control algorithms, the cultivation of more robust and reliable navigation strategies, and the continued exploration of novel WMR applications. This article also looks at the progress of mobile robotics during the previous three decades. Motion planning and path analysis techniques that work with single and multiple mobile robots have been discussed extensively. One common theme in this research is the use of soft computing methods to give mobile robot controllers cognitive behaviors, such as artificial neural networks (ANNs), fuzzy logic control (FLC), and genetic algorithms (GAs). Nevertheless, there is still a dearth of applications for mobile robot navigation that leverage nature-inspired algorithms, such as firefly and ant colony algorithms. Remarkably, most studies have focused on kinematics analysis, with a small number also addressing dynamics analysis. 2023 by the authors.
Borkar K.K.; Aljrees T.; Pandey S.K.; Kumar A.; Singh M.K.; Sinha A.; Singh K.U.; Sharma V.
Multidisciplinary Digital Publishing Institute (MDPI)
https://doi.org/10.3390/pr11123302 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180667057&doi=10.3390%2fpr11123302&partnerID=40&md5=bd8fcd0c2718c1d839a07ab75af9e0e3
Borkar K.K., Department of Industrial & Production Engineering, School of Studies of Engineering & Technology, GGV, Bilaspur, 495001, India; Aljrees T., Department College of Computer Science and Engineering, University of Hafr Al-Batin, Hafar Al-Batin, 39524, Saudi Arabia; Pandey S.K., Department of Computer Engineering & Applications, GLA University, Mathura, 281406, India; Kumar A., Department of Computer Engineering & Applications, GLA University, Mathura, 281406, India; Singh M.K., Department of Industrial & Production Engineering, School of Studies of Engineering & Technology, GGV, Bilaspur, 495001, India; Sinha A., Department of Computer Science and Information Technology, IGNOU, New Delhi, 110001, India; Singh K.U., School of Computing, Graphic Era Hill University, Dehradun, 248002, India; Sharma V., Computer Science Department, CHRIST (Deemed to be University), Delhi-NCR Campus, Ghaziabad, 201204, India