A Novel Edge-Based Trust Management System for the Smart City Environment Using Eigenvector Analysis
The proposed Edge-based Trust Management System (E-TMS) uses an Eigenvector-based approach for eliminating the security threats present in the Internet of Things (IoT) enabled smart city environment. In most existing trust management systems, the trust aggregation process completely depends on the direct trust ratings obtained from both legitimate and malicious neighboring IoT devices. E-TMS possesses an edge-assisted two-level trust computation approach for ensuring the malicious free trust evaluation of IoT devices. The E-TMS aims at removing the false contribution on aggregated trust data. It utilizes the properties of the Eigenvector for identifying compromised IoT devices. The Eigenvector Analysis also helps to avoid false detection. The analysis involves a comparison of all the contributed trust data about every single connected device. A spectral matrix will be generated corresponding to the contributions and the received trust will be scaled based on the obtained spectral values. The absolute sum of obtained values will contain only true contributions. The accurate identification of false data will remove the effect of malicious contributions from the final trust value of a connected IoT device. Since the final trust value calculated by the edge node contains only the trustworthy data, the prediction about the malicious nodes will be accurate. Eventually, the performance of E-TMS has been validated. Throughput and network resilience are higher than the existing system. 2022 G. Nagarajan et al.
Nagarajan G.; Simpson S.V.; Venkatachalam K.; Alrasheedi A.F.; Askar S.S.; Abouhawwash M.; Parthasarathi P.
Journal of Healthcare Engineering, Vol-2022
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1155/2022/5625897 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131455042&doi=10.1155%2f2022%2f5625897&partnerID=40&md5=ea30f1395b138a7e4c82ffab0098865b
Nagarajan G., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India; Simpson S.V., Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Kerala, India; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; Alrasheedi A.F., Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Askar S.S., Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Abouhawwash M., Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt, Department of Computational Mathematics Science and Engineering (CMSE), Michigan State University, East Lansing, 48824, MI, United States; Parthasarathi P., Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Erode, India
Mental health counsellors perceptions on use of technology in counselling
Counsellors; Email counselling; Online counselling; Perception; Video conferencing
The objectives of the study were: (a) to explore the self-reported knowledge of counsellors about technology in counselling. (b) to understand the flexibility, usage, and openness to integrating the technology services in their practice, and (c) to identify the problems associated with using technology as a process in counselling. Semi-structured interviews of eleven practising counsellors in Bangalore and Chennai, India, recruited through snowball sampling, were used for data collection. The deductive content analysis of the interview transcripts generated seven concepts, each comprising of several categories. The seven concepts were 'attitude', 'strengths', 'weakness', 'suitability', 'skills and training', 'therapeutic alliance', and 'theoretical approaches'. The analysis revealed that the counsellors preferred face-to-face counselling and were not using technology for their mainstream practice, but all were quite aware of the process, the benefits and costs of using different forms of technology. The study revealed that the counsellors were also aware about the target population and mental health issues for online counselling. This study has strong implications for building additional skills and enhancing training for counsellors to use technology in their counselling practice, along with the formulation of legal and ethical policies, certification and licensing, in order to protect both the clients and counsellors. 2019, Springer Science+Business Media, LLC, part of Springer Nature.
Current Psychology, Vol-40, No. 4, pp. 1760-1766.
https://doi.org/10.1007/s12144-018-0104-4 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059551891&doi=10.1007%2fs12144-018-0104-4&partnerID=40&md5=5ff370ffbb5d2ddcb88c261402bcf86e
Nagarajan M., Department of Psychology, Christ (Deemed to be University), Bangalore, India; Yuvaraj S., Department of Psychology, Christ (Deemed to be University), Bangalore, India
Rectangular Microstrip Patch Antenna Array Based Sectored Antenna for Directional Wireless Sensor Networks
Directional Sensor Network; Microstrip Patch Antenna Array; RF Switch; Sectored Antenna
Directional wireless Sensor Network (DSN) outperforms Wireless Sensor Network (WSN) over different parameters such as transmission range, interference, spatial reusability and energy efficiency. In this paper, a Rectangular Patch antenna Array (RPA) based sectored antenna is proposed for DSN. The individual sector is composed of two-element rectangular patch antenna array with a measured peak gain of 5.2 dBi and half-power beamwidth of 45. Single Pole 8 Throw (SP8T) Radio Frequency (RF) switchboard is designed to connect the sectored antenna to MICAz WSN mote. The antenna performance analysis carried out in simulation and real-time measurement via Ansys High Frequency Structure Simulator (HFSS) and Vector Network Analyzer (VNA) exhibits higher gain, lower return loss, half-power beamwidth and Voltage Standing Wave Ratio (VSWR). 2020 IEEE.
Nagaraju S.; Gudino L.; Kadam B.; Khairnar V.V.; Rodrigues J.X.; Ramesha C.K.
2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/CSNDSP49049.2020.9249489 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097649249&doi=10.1109%2fCSNDSP49049.2020.9249489&partnerID=40&md5=2b40521aa79cff7cdc222051bf44d24a
Nagaraju S., Dayananda Sagar University, School of Engineering, Department of Computer Science and Engineering, Bengaluru, India; Gudino L., Bits Pilani, Department of Computer Science and Information Systems, Pilani, India; Kadam B., Bits Pilani K K Birla Goa Campus, Department of Electrical and Electronics Engineering, Goa, India; Khairnar V.V., M. V. J. College of Engineering, Department of Electronics and Communications, Bengaluru, India; Rodrigues J.X., Christ University, Department of Electrical and Electronics Engineering, Bengaluru, India; Ramesha C.K., Bits Pilani K K Birla Goa Campus, Department of Electrical and Electronics Engineering, Goa, India
Energy-Efficient Long-Range Sectored Antenna for Directional Sensor Network Applications
Cooja simulator; Directional sensor networks; Microstrip patch antenna; Radio frequency switchboard; Sectored antenna
The popularity of Directional Sensor Network (DSN) is increasing due to their improved transmission range, spectral reusability, interference mitigation, and energy efficiency. In this paper, the radio module of the DSN is implemented using an eight-sector antenna array. Two types of sectored antennas, namely the Rectangular Patch Sectored Antenna (RPSA) and the Triangular Patch Sectored Antenna (TPSA), are proposed to operate at frequency of 2.4 GHz ISM band. The RPSA has a half-power beamwidth (HPBW) of 45 and a peak gain of 5.2 dBi, while the TPSA has an HPBW of 48 and a peak gain of 4.16 dBi. The design and performance evaluation of RPSA and TPSA in terms of gain, reflection characteristics (|S11|), and HPBW are conducted using Ansys High Frequency Structure Simulator (HFSS) and Vector Network Analyzer (VNA). To demonstrate the concept, the fabricated sectored antennas are connected to MicaZ Wireless Sensor Network (WSN) nodes using an indigenously designed Single Pole 8 Throw (SP8T) Radio Frequency (RF) switchboard. The performance of the DSNs based on RPSA and TPSA is evaluated using the Cooja simulator and a testbed consisting of MicaZ nodes. The results show that RPSA outperforms TPSA and omnidirectional-based WSNs in terms of power consumption, received signal strength, and packet delivery ratio. 2024 IETE.
Nagaraju S.; Gudino L.J.; Kadam B.V.; Khairnar V.V.; Rodriguez J.X.; Ramesha C.K.
IETE Journal of Research, Vol-70, No. 5, pp. 4442-4452.
Nagaraju S., Department of Computer Science & Engineering, School of Engineering & Technology, Christ (Deemed to be University), Bengaluru, India; Gudino L.J., Department of Computer Science & Information Systems, BITS Pilani, Pilani, India; Kadam B.V., Department of Electrical & Electronics Engineering, BITS Pilani K. K. Birla Goa campus, Goa, India; Khairnar V.V., School of Electronics Engineering, VIT-AP University, Andhra Pradesh, Amaravati, India; Rodriguez J.X., Department of Electrical & Electronics Engineering, School of Engineering & Technology, Christ (Deemed to be University), Bengaluru, India; Ramesha C.K., Department of Electrical & Electronics Engineering, BITS Pilani K. K. Birla Goa campus, Goa, India
Hybrid area explorationbased mobility-assisted localization with sectored antenna in wireless sensor networks
area exploration; directional antennas; localization; mobile anchor node; wireless sensor networks
In common practice, sensor nodes are randomly deployed in wireless sensor network (WSN); hence, location information of sensor node is crucial in WSN applications. Localization of sensor nodes performed using a fast area exploration mechanism facilitates precise location-based sensing and communication. In the proposed localization scheme, the mobile anchor (MA) nodes integrated with localization and directional antenna modules are employed to assist in localizing the static nodes. The use of directional antennas evades trilateration or multilateration techniques for localizing static nodes thereby resulting in lower communication and computational overhead. To facilitate faster area coverage, in this paper, we propose a hybrid of max-gain and cost-utilitybased frontier (HMF) area exploration method for MA node's mobility. The simulations for the proposed HMF area explorationbased localization scheme are carried out in the Cooja simulator. The paper also proposes additional enhancements to the Cooja simulator to provide directional and sectored antenna support. This additional support allows the user with the flexibility to feed radiation pattern of any antenna obtained either from simulated data of the antenna design simulator, ie, high frequency structure simulator (HFSS) or measured data of the vector network analyzer (VNA). The simulation results show that the proposed localization scheme exhibits minimal delay, energy consumption, and communication overhead compared with other area explorationbased localization schemes. The proof of concept for the proposed localization scheme is implemented using Berkeley motes and customized MA nodes mounted with indigenously designed radio frequency (RF) switch feed network and sectored antenna. 2019 John Wiley & Sons, Ltd.
Nagaraju S.; Sreejith V.; Gudino L.J.; Kadam B.V.; Ramesha C.K.; Rodrigues J.
International Journal of Communication Systems, Vol-33, No. 4
https://doi.org/10.1002/dac.4220 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075072203&doi=10.1002%2fdac.4220&partnerID=40&md5=61968c757457e2a41b6b7e3df513f78c
Nagaraju S., Department of Computer Science and Information Systems, BITS Pilani, K. K. Birla Goa Campus, Sancoale, India; Sreejith V., Department of Computer Science and Engineering, Presidency University, Bangalore, India; Gudino L.J., Department of Computer Science and Information Systems, BITS Pilani, Pilani, India; Kadam B.V., Department of Electrical and Electronics Engineering, BITS Pilani, K. K. Birla Goa campus, Sancoale, India; Ramesha C.K., Department of Electrical and Electronics Engineering, BITS Pilani, K. K. Birla Goa campus, Sancoale, India; Rodrigues J., Department of Electrical and Electronics Engineering, Christ University, Bangalore, India
Green approach to g-C3N4/Zn2V2O7 nanocomposites synthesis using salvia hispanica powder for photocatalytic degradation of dyes and organic catalysis
Chia seeds; Composites; Oraganic catalysis; Photocatalytic; Zinc vanadate
Two-dimensional mixed metal oxides have been of interest recently, owing to their distinctive crystal structures and multifunctional properties. This article presents a green and sustainable synthesis approach for zinc vanadate (ZNV) nanoparticles (NPs) using chia seed powder by a green solution combustion method. The synthesized ZNV NPs were then employed for the preparation of g-C3N4/Zinc vanadate (ZNVG) nanocomposites (NCs) at 10 %, 20 %, and 30 % of g-C3N4 compositions. XRD, FT-IR, SEM, EDAX, UVVis, and PL techniques have been performed to characterize the materials entirely. The size of crystallites calculated through the Debye-Scherrer equation for 10 %, 20 %, and 30 % g-C3N4 doping content are 40 nm, 38 nm, and 37 nm, respectively. UVVis spectroscopy shows the redshift in the absorption wavelength and a reduction in the band-gap energy with enhanced light-harvesting features for higher g-C3N4 contents. Photocatalytic investigations have shown that the performance of ZNVG-20 nanocomposite is the optimum; with remarkable degradation efficiencies of 94 % of Rose Bengal and 97 % of Methylene Blue dyes after 180 min. Excellent degradation results were obtained for mixed dyes containing Rose Bengal, Methylene Blue and Methyl Orange and also for environmentally challenging substrates such as rangoli colors. Interestingly, the ZNVG composites also acted as good catalysts in the Knoevenagel condensation reaction, which exhibited up to 92 % efficiency under blue light irradiation. The present findings indicate the versatile potential of ZNVG nanocomposites as photocatalysts and catalysts for addressing environmental and synthetic challenges in a sustainable manner. 2025 Elsevier B.V.
Nagaraju, G.; Pooja, K.R.; Suma, G.R.; Palan, Naveeth Ganesh; Kiran, R.; Puttegowda, Ramya; Nizam, Aatika; Hegde, Sumanth; Harini, R.; Manjanna, J.
Inorganic Chemistry Communications;Volume;176;Issue;;Article No.;114143;
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1016/j.inoche.2025.114143 https://www.scopus.com/pages/publications/86000543575?origin=resultslist
Nagaraju G., Energy Materials Research Laboratory, Dept. of Chemistry, Siddaganga Institute of Technology, Karnataka, Tumakuru, 572103, India; Pooja K.R., Energy Materials Research Laboratory, Dept. of Chemistry, Siddaganga Institute of Technology, Karnataka, Tumakuru, 572103, India, Dept. of Chemistry, Rani Channamma University, Karnataka, Belagavi, 591156, India; Suma G.R., Dept.of Chemical Engineering, Siddaganga Institute of Technology, Karnataka, Tumakuru, 572103, India; Palan N.G., Dept.of Chemical Engineering, Siddaganga Institute of Technology, Karnataka, Tumakuru, 572103, India; Kiran R., Dept.of Chemical Engineering, Siddaganga Institute of Technology, Karnataka, Tumakuru, 572103, India; Puttegowda R., Dept. of Physics, RV College of Engineering, Karnataka, Bangalore, 560059, India; Nizam A., Dept. of Chemistry, CHRIST University, Karnataka, Bangalore, 560029, India; Hegde S., Dept. of Chemistry, CHRIST University, Karnataka, Bangalore, 560029, India; Harini R., Dept. of Electronics and Communication, Government Polytechnic College, Karnataka, Hiriyur, 577599, India; Manjanna J., Dept. of Chemistry, Rani Channamma University, Karnataka, Belagavi, 591156, India
Impact of Brexit on bond yields and volatility spillover across France, Germany, UK, USA, and India's debt markets
10-year government bond market; Brexit vote; GARCH-BEKK; return spillover; VAR; volatility transmission
Britain's decision to exit the EU lead to disruptions in global markets. This study investigates the change in the return and volatility spillover pattern due to the repercussions of the Brexit vote between the US, France, the UK, Germany, and India's 10-year government bond yields by applying the VAR and GARCH-BEKK models. The findings demonstrate a substantial rise in the return spillover to India and USA 10-year government bond yields following the Brexit vote compared to the pre-Brexit vote era. In addition, the results showed evidence of unidirectional volatility spillover from India to France, bidirectional volatility spillover between the USA and India, and unidirectional volatility spillover from the UK to India 10-year government bond market post-Brexit vote. However, there was no interconnection between these markets before the Brexit vote. Therefore, the Brexit vote did affect and significantly increased the linkage between the US, France, the UK, and India's 10-year government bond market. The increase in correlation in India-US, India-UK, and India-France's 10-year government bond markets will help predict and have an important implication for hedgers, decision-makers, and portfolio managers if similar political events occur in the future. Sangeetha G. Nagarakatte, Natchimuthu Natchimuthu, 2022.
Investment Management and Financial Innovations, Vol-19, No. 3, pp. 189-202.
Nagarakatte S.G., School of Commerce, Finance and Accountancy, Department of Commerce, Christ University, Bengaluru, India; Natchimuthu N., School of Commerce, Finance and Accountancy, Department of Commerce, Christ University, Bengaluru, India
Return and volatility spillover between India, UK, USA and European stock markets: The Brexit impact
Brexit referendum; Diversification; GARCH BEKK; Portfolio; Volatility transmission
The 2016 Brexit referendum created potential turmoil in financial markets. The purpose of this study is to examine the impact of the Brexit referendum on the return and volatility spillover between the EU, the UK, and the USA stock markets and the Indian stock market during the pre- and post-Brexit referendum period. The VAR and bivariate GARCH BEKK models were employed. The study results suggest that before the Brexit referendum, Indian stock market returns made no significant return spillover on the other markets. On the contrary, following the referendum, Indian stock returns significantly spilled over to France, Germany, the UK, and the USA stock market returns. The study results also identified a substantial increase in the bidirectional volatility spillover between India-France, India-UK, and India-USA during the post-Brexit referendum period. Therefore, the investors opportunity to invest simultaneously in India, UK, EU, and US stock markets for portfolio diversification is limited. India was affected mainly by its own past shocks before the Brexit referendum. However, after the Brexit referendum, Indian markets are getting more and more integrated with other markets. In order to reap the diversification benefits, a prudent investment strategy will need to be developed in the future, especially during times of economic and political uncertainty and market crisis. Sangeetha G Nagarakatte, Natchimuthu Natchimuthu, 2022
Investment Management and Financial Innovations, Vol-19, No. 1, pp. 121-134.
Nagarakatte S.G., School of Commerce, Finance and Accountancy, Department of Commerce, Christ University, India; Natchimuthu N., School of Commerce, Finance and Accountancy, Department of Commerce, Christ University, India
Green Data Centers: A Review of Current Trends and Practices
Artificial intelligence; COVID-19; Ethics; Health care; Neural networks
A green data center is a facility that makes use of eco-friendly techniques and technologies to lessen its carbon footprint and environmental impact. A data center can consume as much electricity as a small city and contains thousands of servers. These server farms require an enormous amount of processing power to operate, which presents numerous difficulties, including high energy costs, greenhouse gas emissions, backups, and recovery. This paper clarifies the various green data center best practices, including energy efficiency, cooling systems, renewable energy, sustainable building techniques, and carbon footprint. The need for green data centers in todays internet, commercial, financial, and business applications is also covered in the paper. The reality and myths of green data centers are alsoexamined. The paper delves into the metrics for each characteristic used to gauge how green and effective data centers are. The discussion has concluded with case studies of companies that have implemented green data centers. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Nagarathinam A.; Chellasamy A.; Antonysamy K.; Saravanan V.; Gopalakrishnan M.
Studies in Systems, Decision and Control, Vol-223, pp. 251-264.
Springer Science and Business Media Deutschland GmbH
Nagarathinam A., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Chellasamy A., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Antonysamy K., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Saravanan V., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Gopalakrishnan M., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India
Modeling the Intention to Use AI Healthcare Chabots in the Indian Context
AI Healthcare chatbots; Conceptual model; Indian Context; Intention to use
Covid-19 has accelerated the need and use of artificial Intelligence-based healthcare Chabots. Penetration of the internet, smartphone, computational capability and machine learning technology brings healthcare services close to the patients. The penetration of AI healthcare Chatbot technology worldwide is on the rise. However, the healthcare ecosystem in India is unique and poses challenges in the adoption of healthcare chatbots. The demographic characteristics, economic conditions, diversity, belief systems on health-seeking, and alternative medical practices play a role in accepting and using chatbots. In this study, we attempt to model the factors influencing the intention and the purpose of using the chatbot. Through a literature review, we identify the variables related to the adoption of healthcare chatbots. We then focus on the more relevant concepts to the Indian context and develop a conceptual model. Through cases and literature, we frame the propositions of the study. We look at the awareness of chatbot features, perception towards the chatbot, trust and mistrust of the healthcare system, the doctors and the chatbots, health-seeking behavior, and the belief in traditional, complementary, and alternative medicine prevalent in India. This study contributes by developing an initial conceptual model for healthcare chatbots adoption in the Indian context. In the future, we plan to operationalize the study and test the propositions through an elaborate survey to validate the model empirically. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Nagarathinam A.; Chellasamy A.; Elangovan N.; Rengasamy S.
Lecture Notes in Networks and Systems, Vol-573 LNNS, pp. 657-666.
Nagarathinam A., School of Business and Management, Christ University, Bengaluru, India; Chellasamy A., School of Business and Management, Christ University, Bengaluru, India; Elangovan N., School of Business and Management, Christ University, Bengaluru, India; Rengasamy S., School of Business and Management, Christ University, Bengaluru, India
Strategic Data Analytics for Sustainable Competitive Advantage
Analytics; Big data; Competitive advantage; Data; Strategy
Data and analytics have become major assets for all organizations to leverage into superior strategic positions in this cut-throat competitive world with buzzwords like data crunch, metrics, and dark data. This chapter discusses the structural and economic reasons of why business analytics is necessary for organizations. The ability to collect different resources and entities such as talent, process, data, and information technology to bring out a valuable output is crucial for business analytics success. The most common difficulty of big data begins when organizations are in the journey of business analytics. Since a number of organizations are still in the baby steps of basic, tackling data challenges is humongous for them. This situation calls for the need to foster a business analytics ecosystem by every organization. This paper discusses how optimizing analytics could lead to a sustainable competitive advantage, building data strategy, and setting Key Performance Indicators (KPI) for business analytics. The chapter further explores how analytics is used across business domains and the challenges in crafting a business analytics strategy. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Nagarathinam A.; Chellasamy A.; Rangasamy S.
Data-Driven Decision Making, pp. 77-106.
Nagarathinam A., CHRIST University, Bangalore, India; Chellasamy A., CHRIST University, Bangalore, India; Rangasamy S., CHRIST University, Bangalore, India
Predicting financial asset prices with neural network: a comparative study of neural networks effectiveness in financial decision-making
Financial Decision Making; GARCH; LSTM; Neural Networks: ARIMA; Prediction
Investing requires deep knowledge of complex financial markets, making it incredibly tedious to predict inflation and deflation. Predictive conventional models like ARIMA and GARCH do not accurately capture the non-linearity and volatility presented in financial datasets. This research examines the different forms of predictive assets, real estate, stocks, commodities, bonds, and cryptocurrency using Long Short-Term Memory (LSTM) Neural networks. The primary focus of this research is to assess the valuable prediction capabilities of LSTM across assets and its integration with financial decision-making. According to the empirical results, deep learning LSTM models give better outcomes with equities and gold, with the R2 indicator reaching over 99% alongside a low RMSE. LSTMs had an over 100% MPE prediction error rate for other assets during the test phase, making it harder to predict intensely volatile assets. The model's verification transfers residual autocorrelation, showing that it can enhance forecasting performance with detailed macroeconomic indicators and sentiment analysis data. Studies show that LSTMs are effective in high-frequency markets with non-linear price changes, but they require special attention to balance interpretability and overfitting. Despite the progress that has been achieved in utilizing neural networks for financial forecasting, hybrid models integrated with XAI are recommended to improve efficiency and real-world applicability. These results contribute to the growing domain of AI-powered finance by offering additional means for many investors, analysts, and decision-makers who wish to utilize data for market speculation. Dr. Aishwarya Nagarathinam et al.
Nagarathinam, Aishwarya; Padhi, Pritesh Kumar; Rangasamy, Sangeetha; Hemalatha, M.; Chellasamy, Aarthy
International Journal of Accounting and Economics Studies;Volume;12;Issue;1;pp.131-145
All Open Access; Bronze Open Access; Green Open Access
https://doi.org/10.14419/f221hb82 https://www.scopus.com/pages/publications/105007191899?origin=resultslist
Nagarathinam A., Christ University, Bangalore, India; Padhi P.K., Christ University, Bangalore, India; Rangasamy S., Christ University, Bangalore, India; Hemalatha M., Christ University, Bangalore, India, Model Institute of Engineering and Technology, Jammu, India; Chellasamy A., Christ University, Bangalore, India
Transforming Classrooms with Adaptive Content: From One-Size-Fits-All to Personalized Mastery
Adaptive learning; AI in education; machine learning; natural language processing; personalized content
Educational disparities continue to be a great hindrance in contemporary learning settings as a result of the inability of conventional methods, founded on the single-size-fits-all principle, to address the divergent demands of students' thinking. This envisioned technological intervention is a paradigm shift to personalized delivery of educational content through cutting-edge artificial intelligence methodologies. The strategy bridges the gap between innovation in technology and pedagogical impact, resulting in democratization of learning experience. This is especially transformative for students from marginalized communities, who have in the past been excluded from accessing customized educational resources because of the lack of access to quality education. 2025 IEEE.
Nagarathna, C.R.; Murgod, Tejaswini R; Nandini, G.; Bhagya, K.; Santrupth, B.C.; Anoop, G.L.
2025 Control Instrumentation System Conference, CISCON 2025;
https://doi.org/10.1109/CISCON66933.2025.11337524 https://www.scopus.com/pages/publications/105033472590?origin=resultslist
Nagarathna C.R., BNM Institute of Technology, Department of AI and ML, Bangalore, India; Murgod T.R., BNM Institute of Technology, Department of AI and ML, Bangalore, India; Nandini G., BNM Institute of Technology, Department of ISE, Bangalore, India; Bhagya K., CMR University, Department of CSE, Karnatka, Bengaluru, India; Santrupth B.C., Christ University, Department of AIML & DS, Karnataka, Bangalore, India; Anoop G.L., Christ Universityn, Department of CSE, Karnataka, Bangalore, India
Analyzing blockchain-based supply chain resilience strategies: resource-based perspective
Blockchain; Micro; Resource-based view; Small and medium-sized enterprises (MSMEs); Supply chain disruptions; Supply chain resilience; Textile industry
Purpose: This research tries to find the blockchain-based resilience strategies that can help the supply chains of micro, small, and medium-sized enterprises (MSMEs) to recover from the disruptions and work effectively in a resource-based view perspective. Design/methodology/approach: Eight broad strategies and 32 sub-strategies are identified from the literature review. Delphi study was carried out, and detailed discussion with 16 experts helped in finalizing these strategies. Further, the best-worst method (BWM) prioritized these strategies. Findings: The findings suggests that building social capital, improving coordination capabilities, sensitivity towards market, flexibility in process and production, reduction in process and lead time,and having a resource efficiency and redundancy are the top strategies on which the top management should focus to overcome the situations of disruptions and enhance performance of MSMEs. Practical implications: The blockchain-based strategies will enable the companies in tracing the products from the company to customers. Further, the customers will be able to identify their manufacturers, the raw materials used in manufacturing, and the life and quality of raw used materials. Altogether the textile industry will become more sensitive toward environmental practices. Originality/value: The previous research has not identified and evaluated the blockchain-based resilience strategies, and therefore this study tries to fill this gap. This study used a smaller sample from the experts, so the results may vary if the larger data set is used and hypothesis testing can be done. 2023, Emerald Publishing Limited.
Nagariya R.; Mukherjee S.; Baral M.M.; Chittipaka V.
International Journal of Productivity and Performance Management, Vol-73, No. 4, pp. 1088-1116.
https://doi.org/10.1108/IJPPM-07-2022-0330 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159714283&doi=10.1108%2fIJPPM-07-2022-0330&partnerID=40&md5=2d8e9c7e3201c32dd3cfaf15ca0df76e
Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Mukherjee S., Department of Operations, GITAM School of Business, GITAM, Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM, Visakhapatnam, India; Chittipaka V., School of Management, Indira Gandhi National Open University, New Delhi, India
The Challenges of Blockchain Technology Adoption in the Agro-based Industries
Agriculture supply chain; Agro-based industries; Blockchain; Sustainability
Blockchain is one of the latest innovations in information technology, bringing a digital revolution to many industries by increasing transparency. But this technology needs to be explored a lot as of now. Agriculture supply chain management distributes agro-based products like vegetables, fruits, pulses, and cereals. This research is conducted to identify the agro-based industries' adoption of blockchain in their supply chain for achieving sustainability. The next step towards sustainable agriculture is primarily seen as blockchain-enabled agriculture. By making supply chains transparent, technology can follow products from the point of manufacture and prevent waste and inefficiency. A structured literature review helped determine the barriers to blockchain adoption in agro-based industries. This research is unique as no survey-based research on blockchain in the agriculture supply chain using structural equation modeling has been found. The seven proposed hypotheses support the blockchain challenges for adoption in agro-based industries. The findings of this study suggest that the blockchain can bring transparency and traceability and will remove the agro-industry inefficiencies. 2022 International Journal of Mathematical, Engineering and Management Sciences. All rights reserved.
Nagariya R.; Mukherjee S.; Baral M.M.; Patel B.S.; Venkataiah C.
International Journal of Mathematical, Engineering and Management Sciences, Vol-7, No. 6, pp. 949-963.
https://doi.org/10.33889/IJMEMS.2022.7.6.059 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147335870&doi=10.33889%2fIJMEMS.2022.7.6.059&partnerID=40&md5=4ee2d85666fb6645bd122eb6778fa00c
Nagariya R., School of Business and Management, CHRIST (Deemed to Be University), Delhi-NCR, Uttar Pradesh, Ghaziabad, India; Mukherjee S., Department of Operations, GITAM Institute of Management, GITAM (Deemed to Be University), Andhra Pradesh, Visakhapatnam, India; Baral M.M., Department of Operations, GITAM Institute of Management, GITAM (Deemed to Be University), Andhra Pradesh, Visakhapatnam, India; Patel B.S., Thiagrajar School of Management, Tamilnadu, Madurai, India; Venkataiah C., Department of Operations Management, Indira Gandhi National Open University, Delhi, India
Exploring challenges in online higher education for AI integration using MICMAC analysis
The consequence of Covid-19 has affected the traditional higher education system. Acknowledging the significant role of online education in national development for accessibility and quality education, countries around the world have understood its importance in current digital era. Indian policymakers have been giving due importance to enhancing the education quality, however the progress made by the country in higher education is not adequate. Amidst all the inadequacies of traditional education system, artificial intelligence (AI) technologies are bringing new ray of hope to democratize education system. This chapter is subjected to identify the challenges in online education and suggest specific ways to address each of them. The challenges are categorized into internal and external challenges/barriers. These challenges have been modeled with the expertise of educationalist's opinions and interpretive structural modeling to create a hierarchy of the barriers using MICMAC analysis and categorize these barriers into four clusters. 2024, IGI Global. All rights reserved.
Nagariya R.; Sharma P.; Saxena A.; Saxena P.; Pancholi G.
Integrating Generative AI in Education to Achieve Sustainable Development Goals, pp. 370-385.
Nagariya R., Christ University, India; Sharma P., Birla Institute of Technology, Mesra, India; Saxena A., Amity University, Jaipur, India; Saxena P., S.P. Mandali's Prin. L.N. Welingkar Institute of Management, Development, and Research, India; Pancholi G., Amity University, Jaipur, India
Prefabricated Houses - A Model to Sustainable Housing Market
Consumer Preference; Housing Market; Prefabricated House; Sustainability
Effective spatial planning in an urban center is the need of the hour especially for offering affordable and sustainable houses. separate sheet. Spatial planning may help in achieving Sustainable Development goals (SDG) (09) Industry, Innovation and Infrastructure, (11) Sustainable cities and communities, and (15) Life on Land. The prefabricated house model can be used as a strategy in achieving above mentioned SDGs. It is important to study the prefabricated housing market for a country like India, considering its growing population and the necessity of access to affordable and sustainable houses. The main objective of this study is to identify the determinant factors of prefabricated houses and its impact on preference among urban consumers. The study is quantitative in nature and adopts a survey method. SEM model is used to analyze the data. A structured questionnaire is developed based on the objectives of the study. The questionnaire majorly focused on the perception of Sustainability, Affordability, Durability, Barriers, Opportunities, and Quality. The Electrochemical Society
Nagarjuna G.; Arjun B.S.; Shabarisha N.; Gowri Shankar R.
ECS Transactions, Vol-107, No. 1, pp. 3781-3792.
https://doi.org/10.1149/10701.3781ecst https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130584425&doi=10.1149%2f10701.3781ecst&partnerID=40&md5=7ec4b959a90ec138f6a5093200c65156
Nagarjuna G., School of Business and Management, Christ (Deemed to be University), BGR Campus, Bangalore, 560076, India; Arjun B.S., School of Business and Management, Christ (Deemed to be University), BGR Campus, Bangalore, 560076, India; Shabarisha N., School of Business and Management, Christ (Deemed to be University), BGR Campus, Bangalore, 560076, India; Gowri Shankar R., School of Business and Management, Christ (Deemed to be University), BGR Campus, Bangalore, 560076, India
Relationship Between Sustainable Tourism Indicators and the Operational Challenges of the Tourism Business: Empirical Evidence from the Wildlife Resorts of Karnataka, India
Community Participation; Environmental Commitment; Sustainable Tourism Indicators; Tourism Business; Wildlife Resorts
Wildlife resorts are one of the most prominent and attractive segments of the accommodation sector. They face many socio-economic and environmental challenges to implement sustainable tourism practices in their daily operations. This study aims at investigating whether there is any relationship between socio-economic and environmental issues, and challenges faced by wildlife resorts in implementing sustainable tourism practices, and the indicators used by the resorts to measure their sustainable tourism practices. The study employs triangulation design to conduct the research. Survey method was employed for identifying the sustainable tourism indicators and personal interviews with resort managers were conducted to identify the operational issues and challenges of wildlife resorts for the implementation of sustainable practices. Based on purposive sampling, sixteen wildlife resorts from the Indian state of Karnataka are selected for the study. Dedoose software is used to conduct mixed method analysis, to compare and analyse the data obtained from both qualitative and quantitative methods. Copyright 2022, IGI Global.
International Journal of Social Ecology and Sustainable Development, Vol-13, No. 1
https://doi.org/10.4018/ijsesd.314627 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149456621&doi=10.4018%2fijsesd.314627&partnerID=40&md5=2e23861c45b37608df207435112ec3dd
Nagarjuna G., Christ University (Deemed), India; Thomas J., Christ University (Deemed), India
Local community involvement in wildlife resorts: Issues and Challenges
Challenges; Issues; Local community; Sociocultural; Wildlife resorts
The Global Code of Ethics for Tourism Article 5 states that tourism should be a beneficial activity for host countries and communities (UNWTO). The code also emphasises on equitable distribution (between host countries and communities) of the economic and sociocultural benefits generated by tourism activities. The tourism resorts and accommodation sector have to involve local communities in socio-economic activities and priority should be given to local manpower. A wildlife resort has vast opportunities to involve local communities in their day to day operation by purchasing local products, promoting local festivals, providing employment opportunities to locals, and involving local communities in decision-making. Wildlife resorts can also promote local culture, create environment awareness among local people, provide educational support to the local children, and support development of infrastructure and medical facilities for the locals. Though local communities can be involved in various activities of wildlife resorts, it is essential to address the issues and challenges that hinder wildlife resorts from doing so. This paper attempts to determine the issues and challenges faced by wildlife resorts in involving local communities in their day to day operations and suggests ways and means to overcome those challenges. The scope of the study covered selected wildlife resorts in Karnataka. The targeted respondents of the research survey were resort managers and data were collected using open-ended questions to understand real-time issues and challenges involving local communities in resort activities. The data were then analysed using thematic text analysis. The findings from the study will help explore means of providing a better framework which will help wildlife resorts overcome issues and challenges involving local communities. The Author(s) 2017.
Asia-Pacific Journal of Innovation in Hospitality and Tourism, Vol-6, No. 2, pp. 55-68.
Nagarjuna G., Christ University, Bannerghatta Road Campus, India; Thomas J., Christ University, Bannerghatta Road Campus, India
Sustainable tourism management : Issues and challenges of eco wildlife resorts in karnataka
Sustainable tourism principles comprise of visitor satisfaction, the economic newlinesustainability of the industry, environment conservation, socio-cultural and economic newlinedevelopment of local communities. The tourism industry has to consider all these elements while developing any form of tourism for its long-term sustainability. Eco and wildlife resorts are one of the prominent and attractive segments of the accommodation sector. It has a major implication for implementing sustainable tourism practices in their daily operations since they are set close to nature and reside in pristine wildlife regions. It is inevitable for eco and wildlife tourism, to consider all newlinethe elements of sustainable tourism practices and to implement it in their day to day newlineactivities. At the same time, they might have to face issues and challenges in newlineimplementing sustainable practices. So, the main objective of the research is to newlineunderstand operational issues and challenges of eco and wildlife resorts in achieving newlinesustainable tourism principles. The purpose of the study is to investigate the issues and challenges faced by eco and wildlife resorts in implementing sustainable tourism practices and understanding the indicators used by the resorts to measure their sustainable tourism newlinepractices. The scope of the study covers selected eco and wildlife resorts in Karnataka because most eco and wildlife reserve areas are shared by pristine natural areas and are located near villages. The targeted respondents of the study are eco and wildlife resort managers and visitors of eco and wildlife resorts. Based on purposive sampling, 30 resorts are selected for the study, and 410 visitors are selected based on convenient sampling technique. The study employs a mixed-method research design. newlineTriangulation design is used in the study. The study adopted a tool to identify the newlinesustainable tourism indicators used by the resorts to measuring their sustainable newlinetourism practices.