318
20
16488
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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IoT in schools: Revolutionizing education through smart technology
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The Internet of Things (IoT) is rapidly transforming various sectors, and education is no exception. This chapter explores the potential and applications of IoT technology in the education sector, shedding light on how it can revolutionize teaching, learning, and overall school management. By seamlessly integrating smart devices and applications into the classroom environment, IoT creates an interconnected and efficient learning ecosystem. The discussion covers the current state of IoT adoption in education, highlighting the benefits, challenges, and future prospects of this technological integration. 2025 selection and editorial matter, Adesh Kumar, Surajit Mondal, Gaurav Verma, and Prashant Mani; individual chapters, the contributors.
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Kaushik P.
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Embedded Devices and Internet of Things: Technologies and Applications, pp. 230-241.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781003510420-13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003510420-13</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205168454&doi=10.1201%2F9781003510420-13&partnerID=40&md5=7424baf65361f012f20bae0606eaf8d5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205168454&doi=10.1201%2f9781003510420-13&partnerID=40&md5=7424baf65361f012f20bae0606eaf8d5</a>
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ISBN: 978-104011389-9; 978-103260600-2
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Online
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English
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Book chapter
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Kaushik P., CHRIST (Deemed to be University), Bangalore, India
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HAPPINESS INDEX OF HIGHER EDUCATION STUDENTS TOWARDS ONLINE LEARNING IN INDIA
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Happiness Index; Higher Education; Online learning; Students; students' perception
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World Happiness Index generally indicates the level of happiness and satisfaction among the residents in a given country. Since we all know that worldwide new ecosystem of online education has evolved there are many countries which have done pretty well with respect to adopting of technology in the education others have been lacking behind and hence causing more inequality in the online education space. To understand the students' perception and satisfaction regarding the online learning this study was conducted to assess the relationships of the happiness index (HI) and related parameters which were retrieved from existing literatures and self-prepared parameters. Accordingly, the world happiness index signifies a direct relationship with the social economic development factors leading to the general well-being of individuals and societies that include the full development of healthcare, politics, and higher employment. The question arises has the online learning lived up to its potential? The Indian Education System is heterogeneous comprising of private and public universities. The study was on conducted in the National Capital Region of India, (NCR). The data was collected from various types of universities' students irrespective of the gender, caste, creed and religion. The study aims to understand the perception of the students and challenges faced by them during the online learning. It is very important to know the views of the students along with teachers to get the true ground reality of online learning in India. Since the pandemic have hit overall the world education sector was hit too. All the educational institutions were closed for about nearly 1.5 years. There was drastic shift in the paradigm from traditional learning to the online learning. To understand the students' perception data is being collected from around 268 students of the Delhi NCR region. The study is quantitative. The questionnaire was distributed to the both Government and Private Universities to understand students' satisfaction regarding online learning. The data was being analyzed in the graph form. The study says the future of online learning is possible provided students have access to devices and better connectivity. 2022 Zeitschrift fur Psychologie / Journal of Psychology.All rights reserved.
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Kaushik P.; Thomas P.
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Zeitschrift fur Psychologie / Journal of Psychology, Vol-230, No. 1
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Hogrefe Verlag GmbH & Co. KG
Date
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2022-01-01
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<a href="https://doi.org/10.5281/zenodo.6979524" target="_blank" rel="noreferrer noopener">https://doi.org/10.5281/zenodo.6979524</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145902245&doi=10.5281%2Fzenodo.6979524&partnerID=40&md5=c7683250cf81a6c651b9a202a1cb6e93" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145902245&doi=10.5281%2fzenodo.6979524&partnerID=40&md5=c7683250cf81a6c651b9a202a1cb6e93</a>
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ISSN: 21908370
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Online
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English
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Article
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Kaushik P., CHRIST, Deemed To Be University, Karnataka, Bengaluru, India; Thomas P., CHRIST, Deemed To Be University, Karnataka, Bengaluru, India
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https://archives.christuniversity.in/files/original/8167d561cb4f0471b5b8753eda0d30a2.pdf
9437b464caef28b067944fb68305f03b
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Respiratory motion prediction of lung tumor using artificial intelligence /
Subject
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Computer Science
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Kaushik Pratim Das - 1942054
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CHRIST (Deemed to be University)
Date
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2024-07-06
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English
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PhD
-
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Title
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Conference Papers
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Faculty Publications- Conference Papers
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An Analysis Conducted Retrospectively on the Use: Artificial Intelligence in the Detection of Uterine Fibroid
Subject
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DCNN; Deep Learning; Fibroids; Magnetic resonance imaging; Ultrasonography
Description
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The most frequent benign pelvic tumors in women of age of conception are uterine fibroids, sometimes referred to as leiomyomas. Ultrasonography is presently the first imaging modality utilized as clinical identification of uterine fibroids since it has a high degree of specificity and sensitivity and is less expensive and more widely accessible than CT and MRI examination. However, certain issues with ultrasound based uterine fibroid diagnosis persist. The main problem is the misunderstanding of pelvic and adnexal masses, as well as subplasmic and large fibroids. The specificity of fibroid detection is impacted by the existing absence of standardized image capture views and the variations in performance amongst various ultrasound machines. Furthermore, the proficiency and expertise of ultra sonographers determines the accuracy of the ultrasound diagnosis of uterine fibroids. In this work, we created a Deep convolutional neural networks (DCNN) model that automatically identifies fibroids in the uterus in ultrasound pictures, distinguishes between their presence and absence, and has been internally as well as externally validated in order to increase the reliability of the ultrasound examinations for uterine fibroids. Additionally, we investigated whether Deep convolutional neural networks model may help junior ultrasound practitioners perform better diagnostically by comparing it to eight ultrasound practitioners at different levels of experience. 2024 IEEE.
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Kaushik R.; Sharma K.P.; Malik S.; Shanbhog M.
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2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/ICRITO61523.2024.10522120" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO61523.2024.10522120</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193846764&doi=10.1109%2FICRITO61523.2024.10522120&partnerID=40&md5=67fe94a68db99724c0847cd071bae735" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193846764&doi=10.1109%2fICRITO61523.2024.10522120&partnerID=40&md5=67fe94a68db99724c0847cd071bae735</a>
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ISBN: 979-835035035-7
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Online
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English
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Conference paper
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Kaushik R., Christ(Deemed to Be Univeristy), Delhi Ncr Campus, Department of Computer Science, Ghaziabad, India; Sharma K.P., Gla University, Department of Computer Engineering and Application, Mathura, India; Malik S., Christ(Deemed to Be Univeristy), Delhi Ncr Campus, Department of Computer Science, Ghaziabad, India; Shanbhog M., Christ(Deemed to Be Univeristy), Delhi Ncr Campus, Department of Computer Science, Ghaziabad, India
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Articles
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Multi-class SVM based network intrusion detection with attribute selection using infinite feature selection technique
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15A06; 15A09; 17B10; 17B15; 18A10; 18C05; 18C10; 18D35; Anomaly detection; Infinity feature selection; Intrusion detection system; Machine learning; Multiclass support vector machine; Support vector machine
Description
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An intrusion detection mechanism is a software program or a device that monitors the network and provides information about any suspicious activity. This paper proposes a multi-class support vector machine (SVM) based network intrusion detection using an infinite feature selection technique for identifying suspicious activity. Single and multiple classifiers generally have high complexity. To overcome all the limitations of single and multiple classifiers, we used a multi-class classifier using an infinite feature selection technique, which performed well with multiple classes and gave better results than other classifiers in terms of accuracy, precision, recall, and f_score. Infinite feature selection is a graph-based filtering approach that analyses subsets of features as routes in a graph. We used a standard dataset, namely the UNSW_NB15 data set generated by the IXIA perfect-storm tool in the Australian Centre for Cyber Security. This dataset has a total of nine types of attacks and 49 features. The comparative analysis of the manuscript work is done against eight different techniques, namely, hybrid intrusion detection system (HIDS), C5, one-class support vector machine, and others. The proposed work gave better simulation results using the 2015a Matlab simulator. 2021 Taru Publications.
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Kaushik R.; Singh V.; Kumari R.
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Journal of Discrete Mathematical Sciences and Cryptography, Vol-24, No. 8, pp. 2137-2153.
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Taylor and Francis Ltd.
Date
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2021-01-01
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<a href="https://doi.org/10.1080/09720529.2021.2009189" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2021.2009189</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121849325&doi=10.1080%2F09720529.2021.2009189&partnerID=40&md5=afc29c113f3a505b7496bd8acbb49e57" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121849325&doi=10.1080%2f09720529.2021.2009189&partnerID=40&md5=afc29c113f3a505b7496bd8acbb49e57</a>
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ISSN: 9720529
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Online
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English
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Article
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Kaushik R., Amity Institute of Information Technology, Amity University Rajasthan, Rajasthan, Jaipur, 303002, India; Singh V., Department of Computer Science Engineering, Manipal University Jaipur, Rajasthan, Jaipur, 302002, India; Kumari R., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
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Conference Papers
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Faculty Publications- Conference Papers
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Artificial intelligence: A new model for online proctoring in education
Subject
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Artificial intelligence; Natural language processing; Natural language toolkit; Online systems
Description
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As a result of technological advancements, society is becoming increasingly computerized. Massive open online courses and other forms of remote instruction continue to grow in popularity and reach. COVID-19's global impact has boosted the demand for similar courses by a factor of ten. The ability to successfully assign distant online examinations is a crucial limiting factor in this next stage of education's adaptability. Human proctoring is now the most frequent method of evaluation, which involves either forcing test takers to visit an examination centre or watching them visually and audibly throughout tests via a webcam. However, such approaches are time-consuming and expensive. In this paper, we provide a multimedia solution for semi-automated proctoring that does not require any extra gear other than the student's computer's webcam and microphone. The system continuously monitors and analyses the user based on gaze detection, lip movement, the number of individuals in the room, and mobile phone detection, and captures audio in real time through the microphone and transforms it to text for assessment using speech recognition. Access the words gathered by speech recognition and match them for keywords with the questions being asked for higher accuracy using Natural Language Processing. If any inconsistencies are discovered, they are reported to the proctor, who can investigate and take appropriate action. Extensive experimental findings illustrate the correctness, resilience, and efficiency of our online exam proctoring system, as well as how it allows a single proctor to simultaneously monitor several test takers. 2023 Author(s).
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Kaushik R.; Singh V.; Kumari R.
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AIP Conference Proceedings, Vol-2723, No. 1
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American Institute of Physics Inc.
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2023-01-01
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<a href="https://doi.org/10.1063/5.0139038" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0139038</a>
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ISSN: 0094243X
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Online
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English
Type
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Conference paper
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Kaushik R., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Singh V., Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India, Norwegian University of Science and Technology, esund, Norway; Kumari R., ICFAI Business School (IBS), Bangalore, Off-Campus Center, ICFAI Foundation for Higher Education (IFHE) University, Karnataka, Bangalore, India
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Articles
Article
Faculty Publications -Articles
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Cryptographic key distribution using artificial intelligence for data security and location privacy in VANET
Subject
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68T05; Location privacy; RF strength; Service location; VANET
Description
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Location privacy & data security in VANET are now becoming most important in todays paradigm of information age. Unauthorized access to location information of vehicles may pose a significant security threat, thus it is necessary to secure this information from intruders. In proposed work, Artificial intelligence based RF range approximation is used with multi key controlled cryptography for enhancement of location privacy and data security in service location protocol of VANETS. 2022 Taru Publications.
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Kaushik S.; Poonia R.C.; Khatri S.K.
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Journal of Discrete Mathematical Sciences and Cryptography, Vol-25, No. 7, pp. 2195-2203.
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Taylor and Francis Ltd.
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2022-01-01
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<a href="https://doi.org/10.1080/09720529.2022.2133256" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2022.2133256</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143550102&doi=10.1080%2F09720529.2022.2133256&partnerID=40&md5=343d42346841fb48898aa20aa54496a0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143550102&doi=10.1080%2f09720529.2022.2133256&partnerID=40&md5=343d42346841fb48898aa20aa54496a0</a>
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ISSN: 9720529
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Online
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English
Type
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Article
Coverage
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Kaushik S., Amity Institute of Information Technology (AIIT), Amity University Rajasthan, Rajasthan, Jaipur, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Khatri S.K., Amity University Uttar Pradesh, Uttar Pradesh, Noida, India
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Articles
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Title
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Transmit Range Adjustment Using Artificial Intelligence for Enhancement of Location Privacy and Data Security in Service Location Protocol of VANET
Description
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IoT or the internet of things is the talk of the town topic being researched in the field of information technology for more than decade. It is being in deployment stage in various developing economics, to enable driverless automobiles in the field of VANET. It helps in preventing crashes and provides urgent medical assistance in emergency case. Data security and location privacy are becoming of most importance in present IT scenario. Unauthorized access to location information of vehicles may pose a significant security threat. So, it is necessary to secure the location information of the vehicle. The proposed work aims at enhancement of location privacy data security in service location protocol of VANET'S. The primary techniques to be employed include artificial intelligence-based RF range approximation for transmission range adjustment and receive RF strength based distance estimation for trusted node location perimeters approximation, dynamic adjustment of silence period of OBU (on based unit) in conjunction with radio/RF interrupt. The unauthorized access to location information of vehicles and need of its privacy is the motivation for this work. 2022 Shivkant Kaushik et al.
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Kaushik S.; Poonia R.C.; Khatri S.K.; Samanta D.; Chakraborty P.
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Wireless Communications and Mobile Computing, Vol-2022
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Hindawi Limited
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2022-01-01
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<a href="https://doi.org/10.1155/2022/9642774" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/9642774</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138883847&doi=10.1155%2F2022%2F9642774&partnerID=40&md5=57a73daa639fa9fa3bd953a48e3c20dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138883847&doi=10.1155%2f2022%2f9642774&partnerID=40&md5=57a73daa639fa9fa3bd953a48e3c20dc</a>
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All Open Access; Gold Open Access
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ISSN: 15308669
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Online
Language
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English
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Article
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Kaushik S., Amity Institute of Information Technology (AIIT), Amity University Jaipur, Rajasth, An-303002, India; Poonia R.C., Department of Computer Science, Christ University Bengaluru, Karnataka, 560029, India; Khatri S.K., Amity University Tashkent, Uzbekistan; Samanta D., RIT Kosovo (A.U.K), Rochester Institute of Technology - RIT Global, Dr. Shpetim Rrobaj, Germia Campus Prishtina, 10000, Serbia; Chakraborty P., Department of Computer Science and Engineering, Comilla University, Cumilla, 3506, Bangladesh
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Faculty Publications
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Kaushik, Arakya; Mittal, Anu; Saeed, Abdulkafi Mohammed; Khan, Mohiuddin Ali; Chaudhary, Anjali; Kumar, Deepak
Title
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Dynamic stress concentrations in piezoelectric materials with semi-elliptical surface notches under shear horizontal waves
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01-01-2025
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Acta Mechanica;Volume;236;Issue;9;pp.4993-5007
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<a href="https://doi.org/10.1007/s00707-025-04421-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00707-025-04421-7</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009552352?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009552352?origin=resultslist</a>
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Kaushik A., Christ University, Bengaluru, 560029, India; Mittal A., Department of Mechanical Engineering, Thapar Institute of Engineering and Technology, Patiala, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, 51452, Saudi Arabia; Khan M.A., Department of Electrical and Electronics Engineering, Jazan University, KSA, Jazan, Saudi Arabia; Chaudhary A., Department of Management, College of Business Administration, Princess Nourah Bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia; Kumar D., Christ University, Bengaluru, 560029, India
Description
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Dynamic loading causes high stress concentrations at surface notches, which are further aggravated by piezoelectric effects. This research presents a novel semi-analytical technique for studying dynamic stress concentrations in semi-elliptical surface notches in piezoelectric materials subjected to shear horizontal (SH) wave incidence. The mirror technique is employed to apply traction-free and electrically insulating boundary conditions, converting the half-space problem into its analogous full-space form. Mathieu functions and elliptical coordinate system are adopted to model the geometry of the semi-elliptical notch accurately. By separating the governing equations, the potential function is obtained, and boundary conditions are applied to construct an infinite set of linear algebraic equations. To ensure reliability of the solution, a truncation scheme based on Mathieu function convergence behavior is proposed before solving the system. Numerical simulations are performed with a thorough parametric study to reveal the effects of important parameters like the incidence angle of waves, wave frequency, notch depth, and piezoelectric material characteristics on the behavior of scattered wave fields and dynamic stress concentrations. The presented model enjoys wide geometric applicability, provides necessary theoretical guidelines for the design of piezoelectric elements and serves as a baseline for the validation of computational approximations. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025.
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Springer
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ISSN: 15970; CODEN: AMHCA
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English
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Article
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Restricted Access; Hardcopy may be available in the library
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online
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PHD
PhD
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61000311
Title
A name given to the resource
Respiratory Motion Prediction of Lung Tumor Using Artificial Intelligence
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Managing respiratory motion in radiotherapy for lung cancer presents a formidable and newlinepersistent challenge. The inherent dynamic movement triggered by respiration introduces a notable degree of uncertainty in target delineation, impacting the precision of image-guided radiotherapy. Overlooking the impact of respiratory motion can lead to the emergence of artifacts in images during image acquisition, resulting in inaccuracies in tissue delineation. Moreover, the motion between treatment fractions can induce blurriness in the dose distribution within the treatment process, thereby introducing geometric and dosimetric uncertainties. Additionally, inter-fraction motion can result in the displacement of the distribution of administered doses. Given these complexities, the precise prediction of tumor motion holds the utmost importance in newlineelevating the quality of treatment administration and minimizing radiation exposure to healthy tissues neighboring the pertinent organ during radiotherapy. Nonetheless, achieving the desired level of precision in dose administration remains a formidable task due to the inherent variations in internal patient anatomy across varying time scales and magnitudes. While notable advancements have been witnessed in radiotherapy, attributed to innovations like image guidance tools, which have streamlined treatments, the challenge of accommodating lung tumor motion remains critical, particularly in cases related to newlineradiotherapeutic intervention. Substantial limitations endure despite integrating respiratory-gated techniques in radiation oncology to manage lung tumor motion. Moreover, lung cancer prognosis remains low, irrespective of the recent advancements in radiotherapy. The practice of expanding newlinetreatment margins from the Clinical Treatment Volume (CTV) to encompass the Planning newlineTreatment Volume (PTV) has been adopted as a strategy to amplify treatment outcomes. newlineHowever, this strategy necessitates a trade-off, as it inevitably exposes larger volumes of healthy tissues to radiation.
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Kaushik, Pratim Das
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Author's Submission
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Christ(Deemed to be University)
Date
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2024-01-01
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J,Chandra.
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/560835" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/560835</a>
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Faculty Publications
Article
Faculty Publications -Articles
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Kaushik, Ruchi; Pradeep, S.; Shanbhog, Manjula; Tamizhselvi, A.; Jagdale, Jayashree; Mahajan, Rashima
Title
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A novel deep learning based multimedia video retrieval framework using may fly optimization
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01-01-2025
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International Journal of Information Technology (Singapore);
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<a href="https://doi.org/10.1007/s41870-025-02587-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02587-w</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007443959?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007443959?origin=resultslist</a>
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Kaushik R., Xavier Institute of Management and Entrepreneurship, Bengaluru, India; Pradeep S., Department of CSE, Malla Reddy Engineering College for Women, Maisammaguda, Kompally, Telangana, Secunderabad, India; Shanbhog M., School of Science, Christ University, Bengaluru, India; Tamizhselvi A., IT, St. Josephs College of Engineering, Chennai, India; Jagdale J., Information Technology, Pune Institute of Computer Technology, Pune, India; Mahajan R., Manav Rachna International Institute of Research and Studies, Faridabad, India
Description
An account of the resource
Developing a video retrieval framework in multimedia management is a main challenge due to the massive growth of video content on the internet. A major drawback of video retrieval is its long search response time and low accuracy. To tackle these issues, this paper introduces a novel deep learning-based Multimedia video retrieval system (DL-MVR) to minimize the search response time with high accuracy. The collected video is initially converted into key frames and pre-processed with contrast adaptive histogram equalization to remove noise artifacts thereby improving image quality. After pre-processing, the images are fed to Efficient Net to extract patch features. Finally, to retrieve the similar video, matching is done using may fly optimization (MFO), that compares the query frame features to the video database. Several performance metrics are analysed to measure the effectiveness of the proposed strategy in terms of accuracy and response time. Experimental results indicate that the proposed system has a search response time of 0.71s, which is lower than existing methods. The proposed DL-MVR method achieves 99.26% of accuracy. The proposed method improves the overall accuracy by 9.32%, 22.04%, and 19.40% which is better than CNN-AlexNet (convolutional neural network), Pyramid regional graph network and CBVR respectively. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025.
Subject
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Efficient net; Histogram equalization; May fly optimization (MFO); Multimedia; Video retrieval
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Springer Science and Business Media B.V.
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ISSN: 25112104;
Language
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English
Type
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Article
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Restricted Access; Hardcopy may be available in the library
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online
-
https://archives.christuniversity.in/files/original/bc11ffb534f901ff1736e55a3f6eb0ca.pdf
5dedd2530b7e2141ce31e57a1659d2f1
Dublin Core
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Title
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MASTERS
Masters' Dissertation
Masters Dissertation
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Title
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Analysis of native advertising on buzzfeed and its impact on the brand image of 7 companies /
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Kaushik, Sanya. - 1424045
Date
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2016-02-01
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Master of Arts in Media and Communication Studies
Subject
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Media Studies
Description
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In today's world, the social web space has become a competitive platform for companies engaged in a plethora of activities to promote and sell their products and, more importantly, create a brand image. In tandem with the rapid development that has been observed in social media, the advertising industry has also evolved to accommodate the needs of the internet. Native advertising has emerged as a viable and lucrative alternative for companies to communicate with their audiences.
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CHRIST (Deemed To Be University)
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Department of Media Studies
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PDF
Language
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English
Type
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Masters Dissertation
-
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Green Synthesized ZnO Nanoparticles as Biodiesel Blends and their Effect on the Performance and Emission of Greenhouse Gases
Subject
The topic of the resource
biodiesel; cow dung; green synthesis; greenhouse gases; ZnO nanoparticles
Description
An account of the resource
Pollution and global warming are a few of the many reasons for environmental problems, due to industrial wastes and greenhouse gases, hence there are efforts to bring down such emissions to reduce pollution and combat global warming. In the present study, zinc oxide nanoparticles are green synthesized using cow dung as fuel, through combustion. Synthesized material was characterized by FTIR, XRD, UV, and FESEM. The as-prepared ZnO-GS NPs were employed as a transesterification catalyst for the preparation of biodiesel from discarded cooking oil. The biodiesel obtained is termed D-COME (discarded cooking oil methyl ester), which is blended with 20% commercial diesel (B20). Additionally, this blend, i.e., B20, is further blended with varying amounts of as-prepared ZnO-GS NPs, in order to ascertain its effects on the quality of emissions of various greenhouse gases such as hydrocarbons, COx, NOx. Moreover, the brake thermal efficiency (BTHE) and brake specific fuel consumption (BSFC) were studied for their blends. The blend (B20) with 30 mg of ZnO-GS, i.e., B20-30, displays the best performance and reduced emissions. Comparative studies revealed that the ZnO-GS NPs are as efficient as the ZnO-C NPs, indicating that the green synthetic approach employed does not affect the efficiency of the ZnO NPs. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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Kavalli K.; Hebbar G.S.; Shubha J.P.; Adil S.F.; Khan M.; Hatshan M.R.; Almutairi A.M.; Shaik B.
Source
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Molecules, Vol-27, No. 9
Publisher
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MDPI
Date
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2022-01-01
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<a href="https://doi.org/10.3390/molecules27092845" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/molecules27092845</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129792125&doi=10.3390%2Fmolecules27092845&partnerID=40&md5=03ed5c843c77479e9af1b158c8a8e582" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129792125&doi=10.3390%2fmolecules27092845&partnerID=40&md5=03ed5c843c77479e9af1b158c8a8e582</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 14203049; PubMed ID: 35566189; CODEN: MOLEF
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Online
Language
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English
Type
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Article
Coverage
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Kavalli K., Department of Mechanical & Automobile Engineering, Christ University, Bangalore, 560029, India; Hebbar G.S., Department of Mechanical & Automobile Engineering, Christ University, Bangalore, 560029, India; Shubha J.P., Department of Chemistry, Don Bosco Institute of Technology, Mysore Road, Bangalore, 560074, India; Adil S.F., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Khan M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Hatshan M.R., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Almutairi A.M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Shaik B., Department of Advanced Materials Engineering for Information & Electronics, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Gyeonggi-do, Yongin-si, 446-701, South Korea
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Kavalli, Kiran; Harish Kumar, M.; Ravikumar, R.; Satish Kumar, V.C.; Kobal, Rajesh; Bongale, Arunkumar
Title
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Modelling and simulation of high-pressure hydrogen storage tank with composite reinforcement
Date
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01-01-2026
Source
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AIP Conference Proceedings;Volume;3369;Issue;1;Article No.;40024;
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<a href="https://doi.org/10.1063/5.0317441" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0317441</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105035072743?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035072743?origin=resultslist</a>
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Kavalli K., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560029, India; Harish Kumar M., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560029, India; Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560029, India; Satish Kumar V.C., Department of Mechanical Engineering, Symbiosis Institute of Technology, Lavale, Pune, 412115, India; Kobal R., Department of Mechanical Engineering, Symbiosis Institute of Technology, Lavale, Pune, 412115, India; Bongale A., Department of Mechanical Engineering, Symbiosis Institute of Technology, Lavale, Pune, 412115, India
Description
An account of the resource
The hydro-carbon fuel disadvantages like cost, pollution and non-renewable source made a way to look for the other energy resources. The carbon neutral fuel hydrogen is one of the promising fuels for all types of locomotives. One of the major challenges is safe fuel filling and storage, since the hydrogen is highly volatile fuel. Based on the travel distance, different environmental conditions, the hydrogen fuel tank subjected to the varying pressure and volume, which needs the cost-effective material for the fuel tank. This paper presents a comprehensive modelling and simulation study of a highpressure hydrogen storage tank reinforced with composite materials. The performance analysis of a hydrogen storage tank with composite reinforcement is conducted and compared to a standard aluminium hydrogen tank. 2026 Author(s).
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American Institute of Physics
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ISSN: 0094243X;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
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online
-
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Kavalli, Kiran; Hebbar, Gurumoorthy S.; Rout, Amruta
Title
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Application of Fuzzy-NSGA-II for achieving maximum biodiesel yield from waste cooking oil
Date
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01-01-2025
Source
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Environmental Science and Pollution Research;Volume;32;Issue;52;pp.29487-29501
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<a href="https://doi.org/10.1007/s11356-025-36079-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11356-025-36079-y</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85219698070?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85219698070?origin=resultslist</a>
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Kavalli K., Mechanical and Automobile Engineering Department, School of Engineering & Technology, CHRIST University, Karnataka, Bengaluru, 560029, India; Hebbar G.S., Mechanical and Automobile Engineering Department, School of Engineering & Technology, CHRIST University, Karnataka, Bengaluru, 560029, India; Rout A., Mechanical and Automobile Engineering Department, School of Engineering & Technology, CHRIST University, Karnataka, Bengaluru, 560029, India
Description
An account of the resource
The increasing demand for renewable energy and efficient waste management has highlighted the need for innovative biodiesel production techniques. This study optimises biodiesel production from waste cooking oil (WCO) using fuzzy modelling and non-dominated sorting genetic algorithm-II (NSGA-II). The optimisation process focuses on key input parameters: methanol quantity, reaction temperature, reaction time, and catalyst concentration, which were normalised and represented using linguistic variables. Fuzzy logic was employed to predict biodiesel yield, expressed in terms of linguistic variables, and defuzzified to yield crisp output values. The developed model achieved a high R2 value of 96.34%, demonstrating a strong correlation between input variables and biodiesel yield. The NSGA-II algorithm was utilised for multi-objective optimisation, determining the optimal conditions for biodiesel production: 150ml of methanol, a reaction temperature of 62C, a reaction time of 63min, and a catalyst concentration of 7.5g. These parameters resulted in a maximum biodiesel yield of 97.36%. The Box-Behnken experimental design validated the models efficiency, achieving a yield of 96.88%. This study emphasises the practical implications of optimised biodiesel production, such as reducing environmental pollution by recycling WCO and minimising reliance on fossil fuels. The optimised process meets ASTM standards and exhibits scalability potential for industrial-level production with minor modifications. The models robustness makes it suitable for integration into intelligent manufacturing systems, ensuring consistent biodiesel quality and yield through automated monitoring and control mechanisms. Despite its success, challenges such as feedstock variability and initial setup costs must be addressed. Future studies should focus on adaptive models and energy-efficient processing technologies to enhance scalability and sustainability. This research demonstrates a significant step towards sustainable biofuel production, combining waste management with renewable energy generation. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
Subject
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Biodiesel; Fuzzy; NSGA-II; Transesterification; Waste cooking Oil
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Springer
Relation
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ISSN: 9441344; CODEN: ESPLE
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Covert Conditioning for Persistent Aggressive Behaviors: A Case Illustration
Subject
The topic of the resource
anger management; emotion dysregulation; Psychotherapy; resistant symptoms; self-management
Description
An account of the resource
In psychotherapy practice and training, single case study design plays an indispensable role by effectively articulating the application of textbook knowledge, thereby bridging the gap between theory and practice. This article, on similar lines, illustrates one such successful example of the application of the classical behavioral technique of covert conditioning modified with a component of verbal challenging. A woman in her late-thirties reported with long-standing seemingly-resistant-to-treat symptoms of aggressive behavior of beating children. The client had a total of 10 daily sessions of 6090 minutes each. By the end of one week, she reported not beating children in this period. She felt extremely relieved because it had happened for the first time in 10 years. The intensity of anger had decreased drastically, and she was not shouting any longer. She had to discontinue sessions abruptly due to unavoidable circumstances. Although she was suggested to follow up the intensive sessions again, she was not able to do it due to feasibility issues. The improvement was maintained on follow-up visits after two weeks, four weeks, and three months. 2021 The Author(s).
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Kavan; Grover N.; Jain N.; Dhiman V.
Source
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Indian Journal of Psychological Medicine, Vol-45, No. 1, pp. 85-88.
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SAGE Publications Ltd
Date
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2023-01-01
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<a href="https://doi.org/10.1177/02537176211056364" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/02537176211056364</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120934641&doi=10.1177%2F02537176211056364&partnerID=40&md5=5e69c26c2062cf76ec236566b77b6948" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120934641&doi=10.1177%2f02537176211056364&partnerID=40&md5=5e69c26c2062cf76ec236566b77b6948</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 2537176
Format
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Online
Language
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English
Type
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Article
Coverage
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Kavan, School of Humanities and Social Sciences (Psychology), Christ University Delhi-NCR, Uttar Pradesh, Ghaziabad, India; Grover N., Dept. of Clinical Psychology, Institute of Human Behaviour and Allied Sciences, IHBAS, Delhi, New Delhi, India; Jain N., Private Practice, Delhi, India; Dhiman V., Dept. of Psychiatry, All India Institute of Medical Sciences, AIIMS, Uttarakhand, Rishikesh, India
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Engaged institution model: A faculty perspective
Description
An account of the resource
This paper attempts to build the engaged institution model from faculty perspective. Data was collected from 200 faculty members across disciplines, who were engaged in community engagement and social responsibility activities in one or the other ways. On analysis of the data, it was found that Instruction and Research, Facilitator, Scholarship factors contribute towards community engagement activities in higher educational institutions and that these factors contribute towards Faculty engagement, Student engagement and Community Engagement. All these factors create Engagement institution model. This work has an implications on theory, practice and policy. Service learning, as a pedagogical tool if implemented in HEIs can effectively bring all the influencing factors together and can help in creating an engaged institution. 2024, IGI Global. All rights reserved.
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Kavatekar S.
Source
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Effective and Meaningful Student Engagement Through Service Learning, pp. 43-60.
Publisher
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IGI Global
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.4018/979-8-3693-2256-7.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-2256-7.ch003</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192615878&doi=10.4018%2F979-8-3693-2256-7.ch003&partnerID=40&md5=5a2443b78b10d22a22b2273e7839d171" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192615878&doi=10.4018%2f979-8-3693-2256-7.ch003&partnerID=40&md5=5a2443b78b10d22a22b2273e7839d171</a>
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Restricted Access
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A related resource
ISBN: 979-836932257-4; 979-836932256-7
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Kavatekar S., Department of Commerce, Christ University, Bangalore, India
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Faculty Publications
Article
Faculty Publications -Articles
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Kavatekar, Smita; Gomes, Roseline Florence; Sudheesh, Kunnathodi; Pullot, Lijeesh; Thomas, Lijo
Title
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The DREAMS Outbound Leadership Training (DREAMS OLT) for Psychosocial Empowerment Among Youth and Sustainable Development Goals (SDGs)
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
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Youth Voice Journal;Volume;16;Issue;2;pp.142-182
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<a href="https://www.scopus.com/pages/publications/105038752415?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038752415?origin=resultslist</a>
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Kavatekar S., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, 560029, India; Gomes R.F., Department of Psychology, Jyoti Nivas College Autonomous, Bengaluru, India; Sudheesh K., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, 560029, India; Pullot L., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, 560029, India; Thomas L., Christ University, Lavasa, Pune, India
Description
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DREAMS Intervention Program is a three-year curriculum program for schools and Higher Educational Institutions (HEIs), aimed at developing psycho-social leadership skills through mentoring intervention. Its triangulated model connects Schools (under-served students), Universities (youth mentors), and Community (senior leaders) to transfer knowledge, experiences, and leadership skills as tools for social change. Outbound Leadership Training (OLT) is a key instrument in achieving DREAMS' goals. DREAMS OLT is an experiential program to develop higher leadership skills and build effective teams by mentoring children and teens in various DREAMS chapters. Mentor training is ongoing, developing psychosocial competencies through project execution. DREAMS OLT refines these skills with structured, activitybased experiential learning. Integrating sustainability into education advances a holistic approach to developing professional skills and leadership among youth. Such skills help the youth to deal with complex worldly challenges. Initiatives such as DREAMS OLT enable the transformation of SDG frameworks into meaningful action by nurturing responsibility, innovation, collaboration and community engagement. Education and youth leadership are critical drivers of long-term social transformation. DREAMS OLT supports SDGs: 4 (Quality Education), 9 (Industry, Innovation, and Infrastructure), 17 (Partnership for the Goals), 3 (Good Health and Well-Being), and 11 (Sustainable Cities and Communities). This paper explores how DREAMS OLT applies these SDGs through experiential, mentoring-based leadership development and psycho-social empowerment of youth. 2026 RESTORATIVE JUSTICE FOR ALL.
Subject
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DREAMS Outbound Leadership Training (OLT); Psychosocial Empowerment and Youth; Sustainable Development Goals (SDGs)
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RJ4All Publications
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ISSN: 20492073;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
https://archives.christuniversity.in/files/original/2bee247ac3ada6ced9ffcc45736afd98.jpg
c8fc0fb7a3a23d9724f6ea71812dd1b2
https://archives.christuniversity.in/files/original/d3979100c2d48162798c17f21226f380.pdf
26b3c4748ca12d1ee40ecf8e5d3ca197
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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PhD
PhD Thesis
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Computational methods for detection and recognition of coronary artery stenosis in angiogram images /
Subject
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Computer Science
Creator
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Kavipriya K - 1942044
Publisher
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CHRIST (Deemed to be University)
Date
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2024-07-19
Language
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English
Type
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PhD
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Identification of coronary artery stenosis based on hybrid segmentation and feature fusion
Subject
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Coronary artery disease; Keyframe extraction; stenosis; stenosis detection; X-ray angiography
Description
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Coronary artery disease has been the utmost mutual heart disease in the past decades. Various research is going on to prevent this disease. Obstructive CAD occurs when one or more of the coronary arteries which supply blood to myocardium are narrowed owing to plaque build-up on the arteries inner walls, causing stenosis. The fundamental task required for the interpretation of coronary angiography is identification and quantification of severity of stenosis within the coronary circulation. Medical experts use X-ray coronary angiography to identify blood vessel/artery stenosis. Due to the artefact, the image has less clarity and it will be challenging for the medical expert to find the stenosis in the coronary artery. The solution to the problem a computational framework is proposed to segment the artery and spot the location of stenosis in the artery. Here the author presented an automatic method to detect stenosis from the X-ray angiogram image. A unified Computational method of Jerman, Level-set, fine-tuning the artery structure, is developed to extract the segmented artery features and detect the arterys stenosis. The current experimental outcomes illustrate that this computational method achieves average specificity, sensitivity, Accuracy, precision and F-scores of 95%, 97.5%, 98%, 97.5% and 97.5%, respectively. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Creator
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Kavipriya K.; Hiremath M.
Source
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Automatika, Vol-64, No. 3, pp. 622-633.
Publisher
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Taylor and Francis Ltd.
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1080/00051144.2023.2205727" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00051144.2023.2205727</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158025936&doi=10.1080%2F00051144.2023.2205727&partnerID=40&md5=c11d2756709585e2124c2f66717c98fb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158025936&doi=10.1080%2f00051144.2023.2205727&partnerID=40&md5=c11d2756709585e2124c2f66717c98fb</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 51144
Format
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Online
Language
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English
Type
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Article
Coverage
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Kavipriya K., Department of Computer Science, Christ Deemed to be University, Bangalore, India; Hiremath M., Department of Computer Science, Christ Deemed to be University, Bangalore, India