Investigating the in-flight performance of the UVIT payload on AstroSat
Instrumentation: detectors; Techniques: photometric; Ultraviolet: general
We have studied the performance of the Ultraviolet Imaging Telescope payload on AstroSat and derived a calibration of the far-ultraviolet (FUV) and near-ultraviolet (NUV) instruments on board. We find that the sensitivity of both the FUV and NUV channels is as expected from ground calibrations, with the FUV effective area about 35 per cent and the NUV effective area about the same as that of GALEX. The point spread function of the instrument is on the order of 1.2-1.6". We have found that pixel-to-pixel variations in the sensitivity are less than 10 per cent with spacecraft motion compensating for most of the flat-field variations. We derived a distortion correction but recommend that it be applied post-processing as part of an astrometric solution. 2018 The Author(s).
Rahna P.T.; Murthy J.; Safonova M.; Sutaria F.; Gudennavar S.B.; Bubbly S.G.
Monthly Notices of the Royal Astronomical Society, Vol-471, No. 3, pp. 3028-3035.
https://doi.org/10.1093/MNRAS/STX1748 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041367941&doi=10.1093%2fMNRAS%2fSTX1748&partnerID=40&md5=98872e8eb53ede78d65e22dbc58d5df8
Rahna P.T., Department of Physics, Christ University, Bengaluru, 560029, India; Murthy J., Indian Institute of Astrophysics, Bengaluru, 560034, India; Safonova M., M. P. Birla Institute of Fundamental Research, Bengaluru, 560001, India; Sutaria F., Indian Institute of Astrophysics, Bengaluru, 560034, India; Gudennavar S.B., Department of Physics, Christ University, Bengaluru, 560029, India; Bubbly S.G., Department of Physics, Christ University, Bengaluru, 560029, India
Investigating the Interaction of Digital Capabilities, Sustainable Practices, Product Quality, and Customer Satisfaction in Perishable Food Supply Chains
customer satisfaction; digital capabilities; perishable food supply chains; product quality; sustainable practices
To ensure efficient delivery of perishable food products, food supply chains (FSCs) have advanced the usage of recent technologies and started integrating them into logistical systems. This study examines the interplay between digital capabilities, sustainable practices, logistical networks, and customer satisfaction in perishable FSCs through a cross-sectional survey of 416 Indian consumers. It draws on a comprehensive literature review that highlights the potential variables and their impacts on the perishable FSCs. The data was collected using a five-point Likert-scale questionnaire, analyzed using partial least squares-structural equation modeling (PLS-SEM), and robustness was ensured by Harman's test. The study integrates value percept theory (VPT) to develop a comprehensive conceptual framework that explains how digital capabilities and sustainable practices enhance product quality and customer satisfaction in perishable FSCs. The findings from the study explicitly support the positive moderating role of logistical networks in the relationship between digital capabilities and product quality. The findings can assist management professionals operating in the perishable food sector in enhancing their theoretical and practical comprehension of the profound influence exerted by digital capabilities, sustainable practices, and logistical networks on the crucial nexus between product quality and customer satisfaction. 2026 ERP Environment and John Wiley & Sons Ltd.
Shetty, Lakshmi; Srivastava, Shefali; Dwivedi, Ashish; Paul, SanjoyKumar; Chauhan, Anurag
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1002/bse.70551 https://www.scopus.com/pages/publications/105031074390?origin=resultslist
Shetty L., Department of Management, Symbiosis Centre for Management Studies, Bengaluru, Symbiosis International (Deemed University), Maharashtra, India; Srivastava S., Operations and Decision Sciences, Christ University, Bengaluru, India; Dwivedi A., Jindal Global Business School, O.P. Jindal Global University, Sonipat, India; Paul S., UTS Business School, University of Technology Sydney, Sydney, Australia; Chauhan A., Management Development Institute, Gurugram, India
Investigating the Relationship Among Demographic Profiles and Customer Engagement Cluster Groups on Mobile E-Commerce Applications
Age; Customer engagement; E-Commerce; Experience; Frequency; Mobile applications; Online shopping applications
Recently, the world is moving towards a new future where most of the communications is happening through the Internet. The use of smartphones has rapidly increased for the past two decades. People show high interest in adopting new technologies in their day to day lives. In order to connect very closely with the customers, many retailers started to expand their businesses with the help of mobile e-commerce applications. The extensive use of mobile phones and the favorable independence of time and location promised the future of mobile e-commerce applications. This created a necessity for the online businesses to understand the factors that influence customer engagement in mobile e-commerce applications. This research was aimed to provide a clear understanding on the factors that affect customer engagement in mobile e-commerce applications with respect to the age, frequency and experience of consumers. The factors like customer satisfaction, utilitarian value, ease of use, hedonic value, trust and personalized recommendations were taken into account to understand their influence on the customer engagement in mobile e-commerce applications. These factors were studied with respect to the age group of consumers and they were classified into four groups as follows: below 20years, 21 to 35years, 36 to 50years, 51years and above. Also, the effect of frequency and experience in using mobile applications towards customer engagement in mobile e-commerce applications were studied in this research. The questionnaire with 29 items were sent to 250 respondents through e-mail and other social media platforms and out of which 151 responses were taken into account for the analysis part. ANOVA tests were performed to analyze the influence of age, frequency and experience in using mobile e-commerce applications on the factors like customer satisfaction, utilitarian value, ease of use, hedonic value, trust and personalised recommendations that affect customer engagement in mobile e-commerce applications. To further analyze and group the respondents engagement in mobile e-commerce applications, k-means cluster analysis was performed. Later, ANOVA tests were performed to understand the differences among demographic profiles and cluster groups in customer engagement. From these tests, the moderating effect of age, frequency and experience factors on customer engagement were analyzed. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Selvakumar, J. Joshua; Pachiyappan, Sathish; Suganya, G.; Suja, S.; Nandhi, Sreeraman; Sampath, Bharath
Studies in Big Data;Volume;164;pp.437-463
Springer Science and Business Media Deutschland GmbH
https://doi.org/10.1007/978-3-031-75095-3_35 https://www.scopus.com/pages/publications/105002013196?origin=resultslist
Selvakumar J.J., Christ University, Karnataka, Bangalore, India; Pachiyappan S., Christ University, Karnataka, Bangalore, India; Suganya G., Kumaraguru College of Liberal Arts and Science, Tamil Nadu, Coimbatore, India; Suja S., T. John College, Karnataka, Bangalore, India; Nandhi S., Christ University, Karnataka, Bangalore, India; Sampath B., CMS B-School, Jain (Deemed to Be) University, Karnataka, Bangalore, India
Investigating the Role of Intelligent HR Systems in Enhancing the Relationship Between Employee Engagement and Performance: A Computational Perspective for Economic Development
and Organization Culture; Economic Development; Employee Engagement; Employee Satisfaction; Human Capital Management Practices (HCMPs); Motivation; Organizational Performance; Quality
This study examines the impact of Human Capital Management Practices (HCMPs), specifically employment opportunities, training, and rewards, on employee performance. Work engagement is a mediating component in this analysis. The results indicate that HCMPs enhance employee performance by increasing work engagement. This demonstrates the strategic role that HR plays in developing a motivated workforce that propels business success. Engaging employees is essential for every business to succeed in providing its clients with high-quality services; engaged employees treat customers royally and talk about the success of their organization. According to research, engaged workers are 87% less likely to quit than disengaged ones. They tend to maintain regular attendance without absenteeism, treat their work with care, and contribute to the business's growth. As a result, they are often rewarded for their dedication and commitment. The manager must communicate with employees, listen to their concerns, and reward them for improved work. Employee engagement, on the other hand, improves performance and helps the company expand. It is bothering because employees who are less engaged are more likely to leave than those who are more engaged. When workers are engaged, they work hard, do better at their jobs, and stick with the company for years. To measure the level of engagement, research indicates that companies with poor employee engagement experienced an average operational income decrease of almost 32%, created a foundation for engagement to occur easily, set goals and tracked employee engagement, and encouraged continued high engagement levels with routine public recognition for employees who are engaged. The primary task is to break the culture of dependency on leaders and develop teamwork with visibility to accountability and engagement. This empowers employees to solve their issues and provides opportunities for coaching and mentoring. High employee engagement results in high organizational performance. The Research Publication.
Deepa, B.G.; Lakshmi, Dara Vijaya; Gondkar, Surekha R.; Dandu, Ravi; Gondkar, Raju Ramakarishna
Indian Journal of Information Sources and Services;Volume;15;Issue;3;pp.362-369
All Open Access; Hybrid Gold Open Access
https://doi.org/10.51983/ijiss-2025.IJISS.15.3.41 https://www.scopus.com/pages/publications/105020288300?origin=resultslist
Deepa B.G., Department of Computer Science, CHRIST (Deemed to be a University), Yeshwanthpur Campus, Bangalore, India; Lakshmi D.V., School of Business and Management, CHRIST (Deemed to be a University), Yeshwanthpur Campus, Bangalore, India; Gondkar S.R., Electronics and Communication BMS Institute of Technology and Management, Bangalore, India; Dandu R., Department of Computer Science, Christ University, Bangalore, India; Gondkar R.R., Department of Computer Science, CHRIST (Deemed to be University), Yeshwanthpur Campus, Bangalore, India
INVESTIGATING THE ROLE OF UTAUT2 IN THE USER SATISFACTION AND CONTINUED USAGE OF MOBILE FITNESS APPS: EVIDENCES FROM INDIA
continued intention to use; customer loyalty; Mobile fitness apps; technology adoption; user satisfaction; UTAUT2
This study examines mobile fitness app (MFA) adoption and use using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). CB-SEM analysis of 445 respondents through IBM-AMOS was conducted. UTAUT2 constructs were examined including, consumer satisfaction, e-loyalty, and mobile fitness app reuse. Also, the roles of socio-demographic factors as control variables were examined. The results indicated that UTAUT2 significantly influenced user perception of MFAs. UTAUT2 constructs increased user satisfaction. User satisfaction positively and significantly influenced e-loyalty and app reuse. The study also suggests future research on UTAUT2's role on MFAs. The study highlights UTAUT2 by revealing the constructs that influence MFA adoption, and selected consequences. (2024), (Amity University). All rights reserved.
Journal of Content, Community and Communication, Vol-21, pp. 110-129.
https://doi.org/10.31620/JCCC.12.24/09 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216845526&doi=10.31620%2fJCCC.12.24%2f09&partnerID=40&md5=4d2c18bd0ef753edd2026909bd32c4f9
Baber P., Symbiosis Law School Noida, Symbiosis International Deemed University, Pune, India; Baber R., School of Business and Management, Christ University, Bengaluru, India
Investigating the transport flexibility measures for freight transportation: a fuzzy best-worst method approach
FBWM; flexibility; freight transportation; fuzzy best worst-method; MCDM; multi-criteria decision making; sensitivity analysis
Unpredicted disruptions force organisations to ensure flexibility for fulfilling customer demand. Enabling flexibility along the transportation system is the most suitable solution for unpredictable disruptions. Flexibility, being a potential element, requires more attention to gain competitive advantages. In this study, an effort has been made to investigate different transport flexibility measures (TFMs) related to freight transportation. Initially, an extensive literature survey is performed to identify different TFMs linked with the supply chain and logistics domain. Further, an integrated fuzzy best-worst method (FBWM) has been adopted to prioritise the identified TFMs and sensitivity analysis is performed to ensure robustness of the model. The findings of the study reflect mode, fleet, vehicle and speed flexibility as the significant flexibility measures for freight transportation. This study will help practitioners, managers and decision-makers associated with freight transportation to make better decisions to ensure flexibility in the freight transportation system. Copyright 2022 Inderscience Enterprises Ltd.
Shardeo V.; Patil A.; Dwivedi A.; Madaan J.
International Journal of Logistics Systems and Management, Vol-43, No. 2, pp. 268-295.
https://doi.org/10.1504/ijlsm.2022.126013 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140580873&doi=10.1504%2fijlsm.2022.126013&partnerID=40&md5=d5e86417be4880292aabf83e82ecc092
Shardeo V., Department of Operations and Analytics, Lal Bahadur Shastri Institute of Management, Delhi, India, Department of Management Studies, Indian Institute of Technology, Delhi, India; Patil A., Department of Management Studies, Indian Institute of Technology, Delhi, India, School of Business and Management, Christ (Deemed to be University), Bangalore, India; Dwivedi A., Jindal Global Business School, O.P. Jindal Global University, Sonipat, India; Madaan J., Department of Management Studies, Indian Institute of Technology, Delhi, India
Investigating the Use of Natural Language Processing in Electronic Medical Record
Efficiency; Language; Natural; Robotical; Speciality
Natural language processing (NLP) implemented in digital scientific records (EMRs) can substantially enhance the nice and efficiency of affected person care. The purpose of NLP implemented in EMRs is to extract applicable facts from affected persons' notes written in a human language together with English. This information can then be stored in a suitable structured form for further evaluation and records mining. NLP has been carried out in the clinical field for the reason that Fifties as a green approach for retrieving textual content-based data and reading interactions among affected persons and healthcare professionals. With the arrival of electronic facts, NLP has come to be extra extensively applied for the diffusion of purposes, inclusive of automatic coding, scientific choice aid, and medical doctor order access. This summary makes a of exploring the usage of NLP in EMRs. The scope of this research consists of an evaluate of present NLP technologies and their software in EMRs. It additionally outlines a number of the present-day demanding situations inside the use of NLP for clinical information and shows capability answers. Finally, the potential applications of NLP-driven EMRs are discussed, inclusive of making use of in-health practitioner order entry, scientific choice assistance, and population health control. 2024 IEEE.
Kasula B.Y.; Patil S.C.; Takkalapally P.; Gupta K.; Logeshwaran J.
2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
Institute of Electrical and Electronics Engineers Inc.
Kasula B.Y., University Of The Cumberlands, Dept of Information Technology, Williamsburg, KY, United States; Patil S.C., United States; Takkalapally P., Lewis University, Department of Engineering, Computing and Mathematical Sciences, United States; Gupta K., University Of The Cumberlands, Dept of Information Technology, Williamsburg, KY, United States; Logeshwaran J., CHRIST (Deemed to be University), Department of Computer Science, Karnataka, Bengaluru, 560029, India
Investigating Various Meshing Techniques in Computational Fluid Dynamics (CFD) for their Impact on Heat Transfer Parameters of Fins
Computational Efficiency; Mesh Independence Analysis; Meshing Technique
The study explores the effects of different meshing techniques on the accuracy and efficiency of heat transfer and fluid dynamics simulations in a finned heat exchanger. A 3D-CAD model, developed in Autodesk Fusion, analysed aluminium fins subjected to a heat flux of 5903 W/m under flow conditions with Reynolds numbers from 8490 to 23300. Four mesh types Tetrahedral, Polyhedral, Hexacore and Poly-Hexacore were compared. Mesh independence analysis showed that Hexacore meshes, especially Mesh Set-F (4,568,602 elements), delivered high accuracy in predicting Nusselt numbers and pressure drops, making them suitable for detailed simulations. Polyhedral meshes, particularly Mesh Set-E (498,044 elements), exhibited the best computational efficiency, ideal for resource-conscious analyses. The study underscores the trade-offs between accuracy and computational cost. Hexacore meshes are recommended for precise evaluations, while Polyhedral meshes are better suited for preliminary designs or time-sensitive applications. However, Hexacore meshes require higher computational resources, limiting their practicality for large-scale or real-time simulations. Major Findings: The findings are valuable for industries such as Heating Ventilation Air Conditioning (HVAC), automotive and electronics cooling, where heat exchanger performance predictions are crucial. By tailoring mesh configurations to specific project needs, engineers can optimise simulation accuracy and computational efficiency, enhancing design workflows and outcomes. The study provides a framework for balancing accuracy and cost, offering insights into mesh selection for effective thermal and fluid performance evaluations. 2025, Informatics Publishing Limited. All rights reserved.
Rajashekaraiah, Thejaraju; Panigrahi, Sajna Parimita; Sanjai, Gowtham S.; Dulabhai, Hadiya Pritesh; Vijaykumar, V.M.
Journal of Mines, Metals and Fuels;Volume;73;Issue;1;pp.117-128
https://doi.org/10.18311/jmmf/2025/45417 https://www.scopus.com/pages/publications/86000119470?origin=resultslist
Rajashekaraiah T., Department of Mechanical and Automobile Engineering, Christ University, Karnataka, Bangalore, 560029, India; Panigrahi S.P., Department of Mechanical and Automobile Engineering, Christ University, Karnataka, Bangalore, 560029, India; Sanjai G.S., Department of Mechanical and Automobile Engineering, Christ University, Karnataka, Bangalore, 560029, India; Dulabhai H.P., Department of Mechanical and Automobile Engineering, Christ University, Karnataka, Bangalore, 560029, India; Vijaykumar V.M., Department of Mechanical Engineering, Bangalore Institute of Technology, Karnataka, Bengaluru, 560004, India
Investigating wave propagation across loosely bonded interfaces in visco-piezo composites with flexoelectricity in LiNbo3 and AlN
aluminium nitride; attenuation coefficients; flexoelectric effect; lanthanum niobate; phase velocity; rheological model
This study compares the transference of surface seismic waves at the loosely bonded interface of a visco-piezo composite structure using two materials, lanthanum niobate (LiNbO 3) and aluminium nitride (AIN). The structure comprises a viscoelastic layer bonded to a piezoelectric substrate, incorporating the flexoelectric effect. The shear response of the upper layer is modelled using three rheological models: Kelvin-Voigt, Maxwell and Newton. An analytical separable variable method is employed to derive complex dispersion relations for both electrically open- and short-circuit conditions. The numerical analysis focuses on the influence of key parameters, such as bonding conditions and interfacial parameters, on phase velocity and attenuation coefficients in both materials. Results indicate that AIN shows higher phase velocities, while LiNbO 3 demonstrates a stronger impact on attenuation, particularly in the Kelvin-Voigt model. In addition, the flexoelectric effect significantly alters the wave behaviour in both materials, impacting both phase velocity and attenuation. This comparison reveals important differences in wave propagation behaviour, which is crucial for the development of devices like sensors, actuators and energy harvesters. The study offers new insights into piezo-flexo coupling and its potential applications in advanced piezoelectric systems. 2025 The Author(s).
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences;Volume;481;Issue;2311;Article No.;20240661;
https://doi.org/10.1098/rspa.2024.0661 https://www.scopus.com/pages/publications/105002021162?origin=resultslist
Seema, Christ University, Bengaluru, 560029, India; Singhal A., Christ University, Bengaluru, 560029, India
Investigation into the Mechanical, Fatigue and Superplastic Characteristics of Shape Memory Alloys (SMA) in CuAlMn, CuAlBeMn, and CuAlFeMn Compositions and Their Composite Variants
Composite variants; Crack strength; Energy absorption capacity; Materials; Residual strength; Shape memory alloy; Shape recovery
Shape memory alloys (SMAs) exhibit high sensitivity to compositional changes in terms of their super elasticity, shape memory effect, and transition temperatures. A deeper comprehension of SMA composition and its impact on mechanical properties can be attained by differential scanning calorimetry. The current study uses experimental work to assess the energy absorption capacity, mean fracture width, residual strength, and cracking strength of samples made of short shape memory alloy (SMA) fibers that are randomly distributed on the specimens tensile side. In this investigation, three samples were synthesized based on the Cu, Al, and Mn proportions found in CuAlMn shape memory alloys (SMA1, SMA2, and SMA3). Moreover, three samples with different ratios of Cu, Al, Mn, Be, and Fe were synthesized for the shape memory alloys CuAlBeMn and CuAlFeMn (SMA2, and SMA3). The synthesized CuAlMn, CuAlBeMn, and CuAlFeMn SMA alloys showed good strain recovery, ranging from 90 to 95%. The martensite that forms and changes when the alloys are heated and quenched mostly controls the strain recovery by the corresponding SMAs. SMA 2 of the CuAlBeMn has a greater strain recovery rate, rising by 8.5% and 44.38%, respectively, in comparison to SMA 1 and SMA 3. CuAlBiMn shape memory alloys demonstrated superior super elasticity and martensite stability in comparison to SMA 1 and SMA 2 respectively. SMA 1 and SMA 2 demonstrated greater residual strength, cracking strength, and energy absorption capacity for all fiber volume fractions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Naresh H.; Prashantha S.; Ramesha K.; Santhosh N.; Manjunatha M.C.
Springer Proceedings in Materials, Vol-60, pp. 407-422.
Naresh H., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru, 572103, India; Prashantha S., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru, 572103, India; Ramesha K., Department of Mechanical and Automobile Engineering, Christ University, Kengeri, Bangalore, 560067, India; Santhosh N., Department of Mechanical Engineering, MVJ College of Engineering, Bangalore, 560067, India; Manjunatha M.C., Department of Mechanical Engineering, Bangalore Institute of Technology, Bangalore, 560067, India
Investigation of 1,1?-Binaphthalene-2,2?-diamine as an organic electrode for High-Performance aqueous rechargeable Lithium-Ion batteries
1; 1?-binaphthalene-2; 2?-diamine(BINAM); cyclic voltammetry (CV); Galvanostatic charge- discharge potential limit (GCPL); Lithium-ion batteries; Organic electrode material; Potentiostat electrochemical impedance spectroscopy (PEIS)
Aqueous rechargeable lithium-ion batteries (ARLIBs) are the most remarkable energy storage devices currently available for various applications with a growing demand for high-performance batteries. The role of electrochemical analysis for lithium-ion batteries, especially electrode reactions, is widely observed in many fields of electrochemical techniques, such as cyclic voltammetry (CV), which is one of the methods that is possible to know the electrochemical factors affecting the reaction voltage and reversibility. This study contributes to the ongoing development of ARLIBs by investigating 1,1?-binaphthalene-2,2?-diamine (BINAM) as a potential organic electrode material. The comprehensive structural and electrochemical characterization is emphasized by the principle of CV and its applications to better understand the electrochemical reactions and the battery performance results, highlighting the viability of BINAM for future ARLIB applications. The cell BINAM | Sat.Li2SO4 | LiMn2O4 delivered its specific 325/155 mAhg?1 capacity and columbic efficiency of ? 9285 %. These findings underscore the importance of considering organic electrode materials and their unique advantages in enhancing the efficiency, sustainability, and cost-effectiveness of lithium-ion battery technology. 2025 Elsevier B.V.
C V, Manjunatha; Shetty, Vijeth R.; Venkataramanappa, Y.
Materials Science and Engineering: B;Volume;318;Issue;;Article No.;118265;
https://doi.org/10.1016/j.mseb.2025.118265 https://www.scopus.com/pages/publications/105002334462?origin=resultslist
C V M., PG-Department of Chemistry and Research Centre, NMKRV College for Women, Jayanagar, Karnataka, Bangalore, 560011, India; Shetty V.R., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Venkataramanappa Y., PG-Department of Chemistry and Research Centre, NMKRV College for Women, Jayanagar, Karnataka, Bangalore, 560011, India
INVESTIGATION OF ANTECEDENTS AND CONSEQUENCES OF USEFULNESS IN ONLINE TRAVEL COMMUNITIES: THE MODERATING ROLE OF DECISION MAKING STAGE
Elaborate Likelihood Model (ELM); online travel community; perceived usefulness; travel decision making; user-generated content
This study examines the perceived usefulness (PU) of online discourse and the decision-making behavior of users in Online Travel Communities (OTCs). Partial least squares structural equation modeling (PLS-SEM) was used on secondary data available in OTCs in the form of 852 threads to empirically test the proposed integrated model. The antecedents of the perceived usefulness of online travel communities were found to be the argument quality and credibility. These influence the PU of user-generated content significantly and are helpful in information adoption in OTCs. The PU of OTC discourse positively impacts travelers' information adoption and decision-making. The current study offers implications for OTCs and online service providers for enhancing the usefulness of user-generated content in OTCs and social media sites, leading to online information use and travel decision-making. Prior literature has explored the nature and magnitude of the influence of electronic word-of-mouth (eWOM) on information adoption and intention to use information for travel purchases from users' perspectives and has investigated the PU of third-party travel sites. This paper is an effort to examine PU and decision-making by analyzing the User-Generated-Content (UGC) posted by the actual users. 2023 Akdeniz University Publishing House. All rights reserved.
Advances in Hospitality and Tourism Research, Vol-11, No. 4, pp. 476-504.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.30519/AHTR.1053634 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182913395&doi=10.30519%2fAHTR.1053634&partnerID=40&md5=69f1a8aef23b65a9dfbb91a6ac9e904b
Ranga B., School of Hotel Management and Tourism, Lovely Professional University, Punjab, Phagwara, India; Singh R., Department of Tourism and Hotel Management, Central University of Haryana, India; Ranga I., Department of Tourism Management, Christ University, Bangalore, India
Investigation of Brain Tumor Recognition and Classification using Deep Learning in Medical Image Processing
Bit Error Rate; Data Analytics; Machine Learning; Network Monitoring; Neural Networks; Optical Communications and Networking; Optical Signal to Noise Ratio
A brain tumour is the growth of brain cells that are abnormal, some of which may progress into cancer. Magnetic Resonance Imaging (MRI) scans are the method used most frequently to detect brain tumours. The brain's abnormal tissue growth can be seen on the MRI images, which reveal. Deep learning and machine learning techniques are employed to identify brain tumours in a number of research publications. It only takes a very short amount of time to predict a brain tumour when these algorithms are applied to MRI images, and the increased accuracy makes patient treatment simpler. Thanks to these forecasts, the radiologist can make quick decisions. The suggested approach employs deep learning, a convolution neural network (CNN), an artificial neural network (ANN), a self-defined neural network, andthe existence of brain tumor. 2022 IEEE.
Karpakam S.; Senthilkumar N.; Kishorekumar R.; Ramani U.; Malini P.; Irfanbasha S.
Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022, pp. 185-188.
https://doi.org/10.1109/ICAISS55157.2022.10010954 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147543779&doi=10.1109%2fICAISS55157.2022.10010954&partnerID=40&md5=7559eaab44a8c6fd321342d8804a9cee
Karpakam S., Sri Eshwar College of Engineering, Coimbatore, India; Senthilkumar N., Dr.NGP Institute of Technology, Coimbatore, India; Kishorekumar R., School of Engineering and Technology, CHRIST University, Bangalore, India; Ramani U., K.Ramakrishnan College of Engineering, Trichy, India; Malini P., Vivekanandha College of Technology for Women, Triuchengode, India; Irfanbasha S., K.Ramakrishnan College of Engineering, Trichy, India
Investigation of Cervical Cancer Detection from Whole Slide Imaging
Cervical cancer; Classification; Deep Learning; Neural Network; Segmentation
Early cancer detection is critical in enhancing a patient's clinical results. Cervical cancer detection from a large number of whole slide images generated regularly in a clinical setting is a complex and time-consuming task. As a result, we require an efficient and accurate model for early cancer diagnosis, especially cervical cancer as it can be fully prevented if detected in an early stage. This study focuses on in-depth writing on current methodologies for cervical cancer segmentation and characterization from the whole cervical slide. It combines the state of their specialty's performance measurement with the quantitative evaluation of cutting-edge techniques. Numerous publications over the last eleven years (2011-2022) clearly outline various cervical imaging methods over multiple blocks. And this review shows different types of algorithms used in each processing stage of detection. The study clearly indicates the advancements in the automation field and the necessity of the same. Published under licence by IOP Publishing Ltd.
Journal of Physics: Conference Series, Vol-2571, No. 1
Uma N., Department of Electronics & Communication, Christ University, Bangalore, India; Inbanila K., Department of Electronics & Communication, Christ University, Bangalore, India
Investigation of corrosion behavior of Cenosphere reinforced iron based composite coatings
Cenosphere; Corrosion; FeCrNiC; Plasma spray caotings; T22
In the present study cenopshere was reinforced with FeCrNiC (Metco 42C) as matrix material and prepared four different feedstock powders such as FeCrNiC+0%Cenosphere, FeCrNiC+5%Cenosphere, FeCrNiC+10%Cenosphere and FeCrNiC+15%Cenosphere were coated by plasma spray technique on T22 substrate. Evaluation of the substrate and coatings potential under salt spray test was performed. Dense fog of 5% NaCl salt water was used to create a corrosive atmosphere within the chamber. The salt water's pH was kept constant at 6.57. The materials that underwent corrosion were examined using X-ray diffraction (XRD), and scanning electron microscopy (SEM). The FeCrNiC+15%Cenosphere and FeCrNiC+10%Cenosphere coatings exhibited reduced weight loss during a 168-h corrosion test compared to the FeCrNiC+5%Cenosphere, FeCrNiC coatings, and substrate. The excellent chemical stability and corrosion resistance of Cr23C6, SiO2, NiO, and Cr2O particles contribute to gradually avoid the formation of red rust on Fe-based coated samples with exposure approaches to 52 and 130 h. 2024 The Authors
Kollur S.; S S.; Surendra J.; Kumar G.S.P.; Suresh Kumar R.; Prasad C.D.; Kumar B K P.; Kore S.; M N.
Results in Surfaces and Interfaces, Vol-17
https://doi.org/10.1016/j.rsurfi.2024.100300 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203641440&doi=10.1016%2fj.rsurfi.2024.100300&partnerID=40&md5=7df994c856998033330caf9cc18be6c5
Kollur S., Department of Mechanical Engineering, RV Institute of Technology and Management, Karnataka, Bengaluru, 560076, India; S S., Department of Mechanical Engineering. New Horizon College of Engineering, Bengaluru, 560103, India; Surendra J., Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India; Kumar G.S.P., Department of Mechanical and Automobile Engineering. CHRIST University, Bengaluru, 560074, India; Suresh Kumar R., Department of Mechanical Engineering, BMS College of Engineering, Karnataka, Bengaluru, India; Prasad C.D., Department of Mechanical Engineering, RV Institute of Technology and Management, Karnataka, Bengaluru, 560076, India; Kumar B K P., Department of Mechanical Engineering, Ballari Institute of Technology and Management, Ballari, Karnataka, India; Kore S., Department of Mechanical Engineering, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; M N., Department of Mechatronics Engineering, AMC Engineering College, Karnataka, Bengaluru, India
Investigation of detoxification nature of activated carbons developed from Manilkara zapota and de oiled soya
Activated carbon; FTIR; Heavy metal; SEM; XRD
Heavy metals are poisonous and detrimental water contaminant. Their existence affects human beings, animals and vegetation as a outcome of their mobility in aqueous ecosystem, toxicity and nonbiodegradability. This work aimed at the development of new adsorbent in the detoxification of heavy metals using Manilkara zapota tree wood and de oiled soya. The study completely focused on the characterization of the developed activation in the view of using it as a adsorbent. The characterization of activated carbon was effected SEM analysis, FTIR, XRD analysis and surface area determination. Both the activation carbon have showed a tremendous characterization in their employability as adsorbent in adsorption of heavy metals in aqueous solution. 2019 Elsevier Ltd. All rights reserved.
Materials Today: Proceedings, Vol-21, pp. 663-668.
https://doi.org/10.1016/j.matpr.2019.06.735 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078243599&doi=10.1016%2fj.matpr.2019.06.735&partnerID=40&md5=acb0a0b4d9a3cb59861574413ede04d7
Sujatha S., Department of Civil Engineering, K. Ramakrishnan College of Technology, Tiruchirappalli, Tamil Nadu, India; Sivarethinamohan R., Christ University, Bengaluru, Karnataka, 560029, India
Investigation of dielectric properties of indigenous blended ester oil for electric system applications
Antioxidants; Degasification; Indigenous oil
The insulation condition of a transformer decides the longevity of the equipment. The unpredicted failure of power transformer will lead to major disaster in the distribution network and it affects both environment and public safety. Nowadays synthetic oil and natural esters are alternatives to transformer oil because of the biodegradable nature. In this paper, investigations were carried out to study the performance of the blended ester. The different properties investigated were viscosity, breakdown voltage, flash point, dielectric dissipation factor and moisture content. Comparisons of the properties were made between mineral oil, vegetable oil without additives and with additives. Further Investigation was carried out to study the impact of antioxidants and degasification. The results indicated that the addition of antioxidants and degasification of the vegetable oil improve significantly its voltage withstanding capacity. The Indigenous oil is code named as DM; Indigenous oil with DBPC is codenamed as DM1, Indigenous oil with BHA is codenamed as DM2. The results have been tabulated and found to be satisfactory. 2020 ASTES Publishers. All rights reserved.
Srinivasa D.M.; Surendra U.; Pattanshetti V.V.
Advances in Science, Technology and Engineering Systems, Vol-5, No. 5, pp. 669-673.
https://doi.org/10.25046/AJ050582 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095854452&doi=10.25046%2fAJ050582&partnerID=40&md5=997c15bf3e36bc1594fd18db816b872b
Srinivasa D.M., Department of E&E Engineering, PES College of Engineering, Mandya, 571401, India; Surendra U., Department of E&E Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, 560074, India; Pattanshetti V.V., Central Power Research Institute, Bangalore, 560074, India
Investigation of Diesel Engine Performance, Emissions and Combustion Characteristics Utilizing Emulsified Biodiesel at Varied CRs
Combustion; Emissions; Emulsified biodiesel; Environmental pollutants; Performance
In this experimental investigation, a varied CR (CR) diesel engine is fuelled with palmyra biodiesel B20 (20% palmyra methyl ester + 80% diesel) and emulsified palmyra biodiesel (85% B20 + 10% water + 5% surfactant), with span 80 and tween 80 (hlb of 6.43) used as surfactants. The study aims to evaluate the performance, emissions and combustion characteristics of the engine at varying CR of 17, 17.5 and 18 with the standard CR set at 17.5. Results show that increasing the CR leads to an improvement in Brake Thermal Efficiency (BTE), with a 3.89% higher BTE observed at a CR of 18 compared to 17. Additionally, higher CRs result in significant reductions in emissions, including hydrocarbons by 25.49%, carbon monoxide by 28.35% and smoke by 11.82% compared to running on neat diesel. These findings highlight the potential of emulsified palmyra biodiesel at higher CRs to improve the engine efficiency and reduce emissions, emphasizing its viability as a sustainable alternative fuel. 2025. Carbon Magics Ltd.
Syed, Karimulla; Venkatesulu, M.; Birada, Lakshmi Mansa; Sharon, Gentapogu; Samad, Shaik Abdul; Kumar, Veeranki Sundar; Reddy, V. S. V. S. Ram; Krishna, S. Ganesh Venkata
International Journal of Vehicle Structures and Systems;Volume;17;Issue;2;pp.238-242
https://doi.org/10.4273/ijvss.17.2.10 https://www.scopus.com/pages/publications/105013487245?origin=resultslist
Syed K., Dept. of Mech. Engg, Koneru Lakshmaiah Education Foundation, Deemed to be University, Vaddeswaram, Andhra Pradesh, India; Venkatesulu M., Dept. of Mech. Engg, Vemu Institute of Tech, Andhra Pradesh, Chittoor, India; Birada L.M., Dept. of Mech. Engg., College of Engg, Jawaharlal Nehru Tech. University Kakinada, Andhra Pradesh, Kakinada, India; Sharon G., Dept. of Mech. Engg., College of Engg, Jawaharlal Nehru Tech. University Kakinada, Andhra Pradesh, Kakinada, India; Samad S.A., Dept. of Mech. Engg, Vignans Lara Institute of Tech. and Sci, Andhra Pradesh, Vadlamudi, India; Kumar V.S., Dept. of Mech. Engg, Vignans Lara Institute of Tech. and Sci, Andhra Pradesh, Vadlamudi, India; Reddy V.S.V.S.R., Dept. of Mech. Engg, Vignans Lara Institute of Tech. and Sci, Andhra Pradesh, Vadlamudi, India; Krishna S.G.V., Dept. of Mech. Engg, Vignans Lara Institute of Tech. and Sci, Andhra Pradesh, Vadlamudi, India
Investigation of efficient multilevel inverter for photovoltaic energy system and electric vehicle applications
conduction loss; multilevel inverter; pulse-width modulation; switching loss; total harmonic distortion
Introduction. This research presents a simple single-phase pulse-width modulated 7-level inverter topology for renewable system which allows home-grid applications with electric vehicle charging. Although multilevel inverters have appealing qualities, their vast range of application is limited by the use of more switches in the traditional arrangement. As a result, a novel symmetrical 7-level inverter is proposed, which has the fewest number of unidirectional switches with gate circuits, providing the lowest switching losses, conduction losses, total harmonic distortion and higher efficiency than conventional topology. The novelty of the proposed work consists of a novel modular inverter structure for photovoltaic energy system and electric vehicle applications with fewer numbers of switches and compact in size. Purpose. The proposed system aims to reduce switch count, overall harmonic distortions, and power loss. There are no passive filters required, and the constituted optimizes power quality by producing distortion-free sinusoidal output voltage as the level count increases while reducing power losses. Methods. The proposed topology is implemented with MATLAB/Simulink, using gating pulses and various pulse-width modulation methodologies. Moreover, the proposed model also has been validated and compared to the hardware system. Results. Total harmonic distortion, number of power switches, output voltage, current, power losses and number of DC sources are investigated with conventional topology. Practical value. The proposed topology has proven to be extremely beneficial for implementing photovoltaic-based stand-alone multilevel inverter and electric vehicle charging applications. References 16, table 1, figures 18. E. Parimalasundar, R. Jayanthi, K. Suresh, R. Sindhuja.
Parimalasundar E.; Jayanthi R.; Suresh K.; Sindhuja R.
Electrical Engineering and Electromechanics, Vol-2023, No. 4, pp. 47-51.
National Technical University "Kharkiv Polytechnic Institute"
Parimalasundar E., Department of Electrical & Electronics Engineering, Sree Vidyanikethan Engineering College, AP, Tirupati, 517102, India; Jayanthi R., Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, 641021, India; Suresh K., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Bangalore, India; Sindhuja R., Department of Electrical & Electronics Engineering, Sree Vidyanikethan Engineering College, AP, Tirupati, 517102, India
Investigation of electrical properties of developed indigenous natural ester liquid used as alternate to transformer insulation
Antioxidants; Breakdown voltage; Flash point; Indigenous oil; Load test; Transformer oil; Viscosity
The performance of every electrical system depends on the different electrical devices especially transformers. Petroleum-based mineral oil is widely used for insulation and cooling purpose. The disadvantage of mineral oil is its low biodegradability and is a major threat to the ecosystem due to its poor oxidative stability. To remedy the drawbacks, focus on alternative fluids that can replace traditional mineral oil. Alternative liquids such as natural esters are used which do not panic the ecosystem. With the support of additives in natural esters liquids, the productivity of the oil can be increased, paving the path for the green conversion of liquids in high voltage applications. The purpose of this article is to analyze the electrical properties of the newly developed indigenous oil. The inhibited oil was insulating oil to which antioxidants were added such as 2,6-ditertiary-butylparacresol, butylated hydroxyl anisole and tertiary butyl hydro qunine to slow down the oxidation rate and to check the electrical properties. This article discusses the electrical properties of mineral oil, developed indigenous oil with and without antioxidants as per IEC62770 standards. A 1.1 kVA transformer was then designed in a laboratory for load tests and Indigenous oil performance under load was evaluated. 2023 Institute of Advanced Engineering and Science. All rights reserved.
Indonesian Journal of Electrical Engineering and Computer Science, Vol-29, No. 2, pp. 609-617.
Institute of Advanced Engineering and Science
https://doi.org/10.11591/ijeecs.v29.i2.pp609-617 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143280994&doi=10.11591%2fijeecs.v29.i2.pp609-617&partnerID=40&md5=ebb8ef4cb18e613b0cff6a7974eee82b
Srinivasa D.M., Department of Electrical and Electronics, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Surendra U., Department of Electrical and Electronics, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India