Water is life and death: Symbolic representation in all customs and rituals in India
Assam; Brahmaputra; human rights to water; water and culture; water policy
For the Koch, Koch Rajbongshi, and Rajbanshi people of India, water is central to their culture. They share river music and ancestry. They lost their language in 1931 and split into three or more clans due to flood relocation. They also introduced food, the river, the sun, the moon, the bamboo tree, and cactus plant worship to the highlands. The parent group was identified as tribal in the 1931 census. Still, the Indian government could not grant Koch, Koch Rajbongshi, and Rajbanshi scheduled tribe status for Assam and conserve their culture, traditions, and language. Indian scientists are trying to solve Assam's centuries-old flood issues, which are worsening. The new Indian water framework must treat water access and value of water resources as essentially good and human rights issues. India must review its Assam flood failures and compensate locals. Assam needs political, social, economic, and administrative procedures to develop and manage water resources and offer services at different societal levels. 2023 Policy Studies Organization.
World Water Policy, Vol-9, No. 2, pp. 242-253.
https://doi.org/10.1002/wwp2.12106 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153502741&doi=10.1002%2fwwp2.12106&partnerID=40&md5=04955deed524696e050a3ad3a51d16bc
Singha R., Department of Psychology, Christ University, Bengaluru, India; Singha S., Department of Commerce, Kristu Jayanti College (Autonomous), Bengaluru, India
Cost effective porous areca nut carbon nanospheres for adsorptive removal of dyes and their binary mixtures
Areca nut; Binary mixture; Methylene blue and methyl orange; Nanoadsorbent; Porous nano spheres; Wastewater
Novel porous nanospheres from areca nuts (ACNPs) were synthesized via one-step pyrolysis without the use of any chemical treatment and the materials were used as adsorbents for the removal of cationic methylene blue (MB) and anionic methyl orange (MO) as well as their binary mixtures. Around, 67 tonnes of areca nut biowaste is generated every year which are then burnt due to their slow rate of decomposition resulting in higher carbon footprints. Biosorbents are generally a preferable alternative for dye adsorption but involve chemical modification for surface enhancement and complex sample treatment. In this work, ACNPs, were investigated for their efficiency in the raw form and were characterized by SEM, EDS, FTIR, XRD, and BET techniques before and after subjecting to the dye adsorption studies. The BET analysis of the adsorbents showed a high specific surface area of 693.8 m2/g when prepared at 1000 C, while the N2 adsorption-desorption plot showed type-IV isotherm, suggesting the microporous nature of the carbon matrix. Batch equilibrium studies showed the removal efficiency of >95% for both the dyes and their binary mixtures under the optimum conditions of 0.15 g/L dosage, 10 ?M concentration and contact time of 70 min. Due to the synergistic effects of the binary dyes, higher removal efficiency of MB compared to MO was observed in the binary mixture. Adsorption results were tested using Langmuir, Freundlich, Temkin, Redlich-Peterson, and Elovich isotherms to assess the best fit of the models. The qm value of MB was found to be 97.37 mg/g, while that of MO was 71.22 mg/g which is higher compared to individual dye components having lower values of 86.12 mg/g and 50.35 mg/g, respectively. Extended Langmuir and Jain and Snoeyink isotherms were used for binary data interpretation. The kinetic results showed good agreement with the Pseudo-second order equation, indicating internal diffusion. The possible mechanism involved electrostatic and ?-? interactions between the dye molecules and ACNPs. This approach is comprehensible and cost effective and can be utilized for dye removal in textile industries. 2023 Elsevier Inc.
Pathania D.; Araballi A.; Fernandes F.; Shivanna J.M.; Sriram G.; Kurkuri M.; Hegde G.; Aminabhavi T.M.
ISSN: 139351; PubMed ID: 36805895; CODEN: ENVRA
https://doi.org/10.1016/j.envres.2023.115521 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148936322&doi=10.1016%2fj.envres.2023.115521&partnerID=40&md5=46416b4d4da2083115be999d06fb4db0
Pathania D., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Araballi A., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Fernandes F., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Shivanna J.M., Department of Chemistry, AMC Engineering College, Bannerghatta Road, Bengaluru, 560083, India; Sriram G., Department of Environment and Energy Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea; Kurkuri M., Centre for Research in Functional Materials (CRFM), JAIN (Deemed to be University), Jain Global Campus, Bengaluru, 562112, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India, Department of Chemistry, CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Aminabhavi T.M., Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Hubballi, 580 031, India, Department of Biotechnology, Engineering and Food Technology, Chandigarh University, Punjab, Mohali, 140413, India
UVIT Observations of the Small Magellanic Cloud: Point-source Catalog
Three fields in the outskirts of the Small Magellanic Cloud were observed by the UltraViolet Imaging Telescope (UVIT) on board AstroSat, between 2017 December 31 and 2018 January 1. The observations were carried out on a total of seven filters, three in the far-ultraviolet (FUV; 1300-1800 band and four in the near-ultraviolet (NUV; 2000-3000 band. We carried out photometry of these observations that have a spatial resolution better than 1.?5. We present here the first results of this work, which is a matched catalog of 11,241 sources detected in three FUV and four NUV wavelengths. We make the catalog available online, which would be of use to the astronomical community to address a wide variety of astrophysical problems. We provide an expression to estimate the total count rate in the full point-spread function of UVIT that also incorporates the effect of saturation. 2023. The Author(s). Published by the American Astronomical Society.
Devaraj A.; Joseph P.; Stalin C.S.; Tandon S.N.; Ghosh S.K.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.3847/1538-4357/acba9c https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151872650&doi=10.3847%2f1538-4357%2facba9c&partnerID=40&md5=aace68d8455cccc275c9454990e1dfbb
Devaraj A., Indian Institute of Astrophysics, Karnataka, Bangalore, 560034, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Joseph P., Indian Institute of Astrophysics, Karnataka, Bangalore, 560034, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Stalin C.S., Indian Institute of Astrophysics, Karnataka, Bangalore, 560034, India; Tandon S.N., Inter-University Center for Astronomy and Astrophysics, Maharashtra, Pune, 411007, India; Ghosh S.K., Tata Institute of Fundamental Research, Maharashtra, Mumbai, 400005, India
Machine Learning and Artificial Intelligence Techniques for Detecting Driver Drowsiness
AI Visuals; Artificial Intelligence; Convolutional Neural Networks; Drowsiness Detection; Image Processing; Machine Learning
The number of automobiles on the road grows in lockstep with the advancement of vehicle manufacturing. Road accidents appear to be on the rise, owing to this growing proliferation of vehicles. Accidents frequently occur in our daily lives, and are the top ten causes of mortality from injuries globally. It is now an important component of the worldwide public health burden. Every year, an estimated 1.2 million people are killed in car accidents. Driver drowsiness and weariness are major contributors to traffic accidents this study relies on computer software and photographs, as well as a Convolutional Neural Network (CNN), to assess whether a motorist is tired. The Driver Drowsiness System is built on the Multi-Layer Feed-Forward Network concept CNN was created using around 7,000 photos of eyes in both sleepiness and non-drowsiness phases with various face layouts. These photos were divided into two datasets: training (80% of the images) and testing (20% of the images). For training purposes, the pictures in the training dataset are fed into the network. To decrease information loss as much as feasible, backpropagation techniques and optimizers are applied. We developed an algorithm to calculate ROI as well as track and evaluate motor and visual impacts. 2022 Boppuru Rudra Prathap et al., published by Sciendo.
Prathap B.R.; Kumar K.P.; Hussain J.; Chowdary C.R.
Journal of Automation, Mobile Robotics and Intelligent Systems, Vol-16, No. 2, pp. 64-73.
https://doi.org/10.14313/jamris-2-2022-17 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163979397&doi=10.14313%2fjamris-2-2022-17&partnerID=40&md5=d90101ed559869805e95d354932d772a
Prathap B.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Kumar K.P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Hussain J., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Chowdary C.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India
Organisational justice, job performance and work engagement: The mediating role of perceived supervisory support
job performance; organisational justice; supervisory support; work engagement
The study establishes a relationship between organisational justice, work engagement, job performance, perceived supervisory support and their sub-dimensions. The major research objectives of the study were to check if perceived supervisory support does mediate between organisational justice, work engagement and job performance of faculty in higher educational institutions. A research model was framed and tested to determine the direct and indirect effect of justice of faculty members on work engagement and job performance in the presence of supervisory support in higher education sector. The present study is based on 912 faculty members of higher educational institutions. Five valid, reliable and standard questionnaires were adopted to collect primary data from the higher educational institutions' faculty members in south India. From the study, it is proved that perceived supervisory support partially mediates organisational justice, work engagement and job performance. 2023 British Educational Research Association.
Ahamed A.A.; Patrick H.A.; Kareem J.; Mukherjee U.; Nepoleon M.P.
https://doi.org/10.1002/rev3.3390 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153241007&doi=10.1002%2frev3.3390&partnerID=40&md5=2a707cc7ddb149e33eb68c6c8973366b
Ahamed A.A., CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India; Patrick H.A., Faculty of Management Studies, CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India; Kareem J., School of Education, CHRIST (Deemed-to-be University), Karnataka, Bangalore, India; Mukherjee U., Faculty of Management Studies, CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India; Nepoleon M.P., Faculty of Management Studies, CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India
GCMS analysis, anthelmintic, antibacterial and antifungal properties of unripe fruit peel extract of Musa paradisiaca L.
anthelmintic; antibacterial; antifungal; fruit peel; GCMS; Musa paradisiacal
Endoparasites, namely, Ascaris sp., Taenia sp., Haemonchus contortus, Ancylostoma duodenale etc. are of serious concern since they can lead to financial loss if farm animals are attacked by these parasites. Finding out cost-effective natural remedies for these infections is an area of research in the field of veterinary sciences. The current study was undertaken with a view to explore the anthelmintic property of banana peel along with its other bioactive properties. The fruit is available abundantly throughout the year and the peel is often discarded as waste. This study has shown that the extracts of the Nendran variety of Musa paradisiaca L. fruit peel have potent anthelmintic, antibacterial and antifungal activities. Preliminary cytotoxicity studies have also given positive results. GCMS analysis has revealed the major phytochemicals responsible for the bioactive properties of the peel. Since the United Nations has urged countries to align research and development with a thrust on sustainable development, these kinds of natural alternatives are best suited in place of synthetic drugs. 2023 World Research Association. All rights reserved.
Research Journal of Biotechnology, Vol-18, No. 4, pp. 98-106.
Mathew A.M., Department of Life Sciences, CHRIST (Deemed to be University), Hosur road Karnataka, Bangalore, 560029, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur road Karnataka, Bangalore, 560029, India
Enhanced Security for Large-Scale 6G Cloud Computing: A Novel Approach to Identity based Encryption Key Generation
Cloud Computing; Cloud Security; Equality Test; Identity-Based Encryption; Large Scale 6G
Cloud computing and 6G networks are in high demand at present due to their appealing features as well as the security of data stored in the cloud. There are various challenging methods that are computationally complicated that can be used in cloud security. Identity-based encryption (IBE) is the most widely used techniques for protecting data transmitted over the cloud. To prevent a malicious attack, it is an access policy that restricts access to legible data to only authorized users. The four stages of IBE are setup, key extraction or generation, decryption and encryption. Key generation is a necessary and time-consuming phase in the creation of a security key. The creation of uncrackable and non-derivable secure keys is a difficult computational and decisional task. In order to prevent user identities from being leaked, even if an opponent or attacker manages to encrypted material or to decode the key this study presents an advanced identity-based encryption technique with an equality test. The results of the experiments demonstrate that the proposed algorithm encrypts and decrypts data faster than the efficient selective-ID secure IBE strategy, a competitive approach. The proposed method's ability to conceal the identity of the user by utilizing the Lagrange coefficient, which is constituted of a polynomial interpolation function, is one of its most significant aspects. 2023 The Authors. Published by AnaPub Publications. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Rathinam G.; Balamurugan M.; Arulkumar V.; Kumaresan M.; Annamalai S.; Bhuvana J.
Journal of Machine and Computing, Vol-3, No. 2, pp. 80-91.
All Open Access; Hybrid Gold Open Access
Rathinam G., Information and communication Engineering, College of Engineering, University of Buraimi, Al Buraimi, Oman; Balamurugan M., Department of CSE, CHRIST(Deemed to be University), Bengaluru, 560074, India; Arulkumar V., School of Computer Science and Engineering, Vellore Institute of Technology, TamilNadu, Vellore, India; Kumaresan M., Department of Computer Science and Engineering, Jain Deemed-to-be University, Karnataka, India; Annamalai S., Department of Computer Science and Engineering, Jain Deemed-to-be University, Karnataka, India; Bhuvana J., Department of CSIT, Jain(Deemed to be University), Bengaluru, 560069, India
Influence of composite mixtures between nematic liquid crystal and porous carbon nanoparticles towards photoluminescence and UV absorbance
Carbon nanoparticles; Nematic liquid crystal; Photoluminescence; UV absorbance
The optical parameters of the liquid crystalline materials can be tuned by the dispersion of nanoparticles. Concentration of dopant in the host LC material affects its optical properties significantly, which makes the dispersed system suitable for LC-based devices. In the present investigation, we have studied the effect of different concentrations of nanoparticles on the optical properties of LC, as a guesthost system, where PCNP is guest material and NLC is host material. Porous carbon nanoparticles (PCNPs) were dispersed into the nematic liquid crystal (NLC) in three different concentrations. Optical parameters were measured for pure NLC and NLC-PCNP composites. Photoluminescence (PL) study was performed and it was found that the PL intensity increased for the PCNP dispersed system. High photoluminescence has much importance in the luminescent displays. Full width half maxima (FWHM) were also determined by the Gaussian fitting of PL intensity data. UV absorbance was also measured which gets increased for the PCNP dispersed NLC system when compared to pure NLC. Optical bandgap was found to be reduced after the dispersion of PCNP into NLC. Several other parameters such as absorption coefficient and optical density were also determined. The proposed work may be significant for the liquid crystal displays (LCDs) and other devices which require less bandgap materials. This work may also put some light on the effect of dopants on the LC material in the research based on guesthost system. Increasing the photoluminescence and creating less bandgap materials using carbon nanoparticles is a real challenge, and porous nanoparticles used here overcome this challenge. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Pathak G.; Rujiralai T.; Hegde G.; Manohar R.
Applied Physics A: Materials Science and Processing, Vol-129, No. 4
Springer Science and Business Media Deutschland GmbH
https://doi.org/10.1007/s00339-023-06550-z https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150680489&doi=10.1007%2fs00339-023-06550-z&partnerID=40&md5=5f9f8cefa441e271cf26280ffe20cb0d
Pathak G., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, 226007, India; Rujiralai T., Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand; Hegde G., Centre for Advanced Research and Development, CHRIST (Deemed to be University), Hosur Rd, Bengaluru, 560029, India; Manohar R., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, 226007, India
Intentions to adopt the blockchain: investigation of the retail supply chain
Behavioural intention; Blockchain; Retail supply chain; Technology acceptance model; Theory of planned behaviour; Unified theory of acceptance and use of technology
Purpose: Blockchain can track the material from the manufacturer to the end customers. Therefore, it can ensure the product's authenticity, transparency and trust in the retail supply chain (SC). There is a need to trace and track the retail products before it reaches the customers to check the quality of the products so that expired products can be recycled and reused, which in turn will help gain customers' trust. This research aims to investigate retail employees' behavioural intention to adopt blockchain in the retail SC. Design/methodology/approach: To examine the behavioural intention of employees in the retail SC, the research uses three theories the technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour. The technology acceptance model measures the employee's acceptance of blockchain in the retail SC. The unified theory of acceptance is used in this research to measure how blockchain adoption will improve the performance of the employees. The theory of planned behaviour is used in this research to measure whether the employees intend to adopt blockchain. A survey was carried out in the retail stores of India. Exploratory factor analysis and structural equation modelling were used for data analysis. Findings: This study found that the employees of the retail stores have a positive intention and attitude to adopt blockchain technology. Further, it was found that perceived behavioural control and effort expectancy was not promoting blockchain adoption in the retail sector. Practical implications: This study will help the retail stores' employees understand the blockchain in their operations and will motivate the top management of the retail companies to adopt this technology. The study is limited to the retail SC in India only. Originality/value: This study uses three theories technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour, which were not used in earlier studies of blockchain adoption in the retail SC. 2023, Emerald Publishing Limited.
Mukherjee S.; Baral M.M.; Lavanya B.L.; Nagariya R.; Singh Patel B.; Chittipaka V.
Management Decision, Vol-61, No. 5, pp. 1320-1351.
Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Lavanya B.L., Department of Management, MEASI Institute of Management, Chennai, India; Nagariya R., School of Business and Management, Christ (Deemed to be University), Bengaluru, India; Singh Patel B., Department of Operations Management, Thiagarajar School of Management, Madurai, India; Chittipaka V., School of Management Studies, Indira Gandhi National Open University (IGNOU), New Delhi, India
Artemisia stelleriana-mediated ZnO nanoparticles for textile dye treatment: a green and sustainable approach
Artemisia stelleriana; photocatalytic degradation; phytotoxicity; textile dyes; water treatment; zinc oxide nanoparticles
Textile effluents being one of the major reasons for water pollution raises major concern for water bodies and the habitation surrounding them. The lack of biologically safer treatment solutions creates a major concern for the disposal of these effluents. The present study focuses on the degradation of textile dyes using leaf extract of Artemisia stelleriana-assisted nanoparticles of zinc oxide (ZnO-NPs). ZnO NPs synthesized were confirmed using spectroscopic, X-ray diffraction and microscopic analysis. The current research utilizes widely used major textile dyes, Reactive Yellow-145 (RY-145), Reactive Red-120 (RR-120), Reactive Blue-220 (RB-220) and Reactive Blue-222A (RB-222A), which are released accidentally or due to the non-availability of cost-effi-cient, dependable and environment-friendly degradation methods, making this work a much-needed one for preventing the discharge before treatment. The biosynthesized ZnO-NPs were top-notch catalysts for the reduction of these dyes, which is witnessed by a gradual decrease in absorbance maximum values. After 320 min, ZnO-NPs under UV light exposure showed 99, 95, 94 and 45% degradations of RY-145, RR-120, RB-220 and RB-222A dyes, respectively. The phytotoxicity study conducted at two trophic levels revealed that the A. stelleriana-mediated ZnO-NPs have great potential for the degradation of textile dyes, allowing them to be scaled up to large-scale treatments. 2023 The Authors.
Water Practice and Technology, Vol-18, No. 4, pp. 911-921.
https://doi.org/10.2166/wpt.2023.041 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159336384&doi=10.2166%2fwpt.2023.041&partnerID=40&md5=4ee38cd2291cbf4accbbc29f10784575
Jaison J.P., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560029, India; Sebastian J.K., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560029, India
Computer Vision Based Automatic Margin Computation Model for Digital Document Images
Computer vision; Digital image processing; Margin detection; Text localization
Margin, in typography, is described as the space between the text content and the document edges and is often essential information for the consumer of the document, digital or physical. In the present age of digital disruption, it is customary to store and retrieve documents digitally and retrieve information automatically from the documents when necessary. Margin is one such non-textual information that becomes important for some business processes, and the demand for computing margins algorithmically mounts to facilitate RPA. We propose a computer vision-based text localization model, utilizing classical DIP techniques such as smoothing, thresholding, and morphological transformation to programmatically compute the top, left, right, and bottom margins within a digital document image. The proposed model has been experimented with different noise filters and structural elements of various shapes and size to finalize the bilateral filter and lines and structural elements for the removal of noises most commonly occurring due to scans. The proposed model is targeted towards text document images and not the natural scene images. Hence, the existing benchmark models developed for text localization in natural scene images have not performed with the expected accuracy. The model is validated with 485 document images of a real-time business process of a reputed TI company. The results show that 91.34 % of the document images have conferred more than 90 % IoU value which is well beyond the accuracy range determined by the company for that specific process. 2023, Crown.
Guha A., Department of Data Science, CHRIST (Deemed to be) University, Karnataka, Bengaluru, India, R &D Scientist, First American India Private Limited, Karnataka, Bengaluru, India; Samanta D., Department of Data Science, CHRIST (Deemed to be) University, Karnataka, Bengaluru, India, Department of Computational Information Technology, Rochester Institute of Technology, Germia Campus, Prishtina, Kosovo, 10000; Sengar S.S., Department of Computer Science, Cardiff Metropolitan University, Cardiff, CF5 2YB, United Kingdom
IEEHR: Improved Energy Efficient Honeycomb Based Routing in MANET for Improving Network Performance and Longevity
Energy Efficiency; Honeycomb; Location-Aided Routing; MANETs; Optimal Routing
In present scenario, efficient energy conservation has been the greatest focus in Mobile Adhoc Networks (MANETs). Typically, the energy consumption rate of dense networks is to be reduced by proper topological management. Honeycomb based model is an efficient parallel computing technique, which can manage the topological structures in a promising manner. Moreover, discovering optimal routes in MANET is the most significant task, to be considered with energy efficiency. With that motive, this paper presents a model called Improved Energy Efficient Honeycomb based Routing (IEEHR) in MANET. The model combines the Honeycomb based area coverage with Location-Aided Routing (LAR), thereby reducing the broadcasting range during the process of path finding. In addition to optimal routing, energy has to be effectively utilized in MANET, since the mobile nodes have energy constraints. When the energy is effectively consumed in a network, the network performance and the network longevity will be increased in respective manner. Here, more amount of energy is preserved during the sleeping state of the mobile nodes, which are further consumed during the process of optimal routing. The designed model has been implemented and analyzed with NS-2 Network Simulator based on the performance factors such as Energy Efficiency, Transmission Delay, Packet Delivery Ratio and Network Lifetime. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Baseera A.; Kondaveeti H.K.; Gopikrishnan S.; Bejoy B.J.; Ravichandran C.G.; Santhosh R.; Dhanapal R.
Wireless Personal Communications, Vol-129, No. 3, pp. 1753-1769.
Baseera A., VIT Bhopal University, Bhopal-Indore Highway 18, Madhya Pradesh, Kothrikalan, Sehore, 466114, India; Kondaveeti H.K., School of Computer Science Engineering, VIT-AP University Beside AP Secretariat, Andhra Pradesh, Near Vijayawada, India; Gopikrishnan S., School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, Amaravati, India; Bejoy B.J., Department of Computer Science and Engineering, Faculty of Engineering, CHRIST (Deemed to be University), Kengeri Campus, Mysore Road, Karnataka, Kanmanike, Kumbalgodu, Bangalore, 560074, India; Ravichandran C.G., Department of CSE, Vivekanandha College of Technology for Women, Tiruchengode, India; Santhosh R., Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, Tamil Nadu, Coimbatore, 641021, India; Dhanapal R., Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, Tamil Nadu, Coimbatore, 641021, India
Protection of Artificial Intelligence Autonomously Generated Works under the Copyright Act, 1957-An Analytical Study
Artificial Intelligence; Autonomous Works; Copyright; Human intervention; Joint authorship
Artificial Intelligence (AI) is not new anymore; it has become a new normal. In the present 3A era (Advanced, automated and autonomous), the Next Rembrandt paintings, Shimons lyrics and songs and Bot Dylans Irish folk songs are the works generated by the AI without any considerable human contribution. In the US, the Copyright Act, 1976 does not protect the works generated independently by the AI without human intervention and thus dropping such works in the public domain immediately after their creation. However, in the UK, the Copyright, Patents and the Designs Act, 1988 under Section 9 (3) attributes copyright to the person by whom the arrangements necessary for the creation of the work are undertaken in case of AI generated works. India has taken a giant leap by considering AI as the joint author along with the human responsible for the creation of work. However, there is not much comprehensive literature available that focuses on the impact of AI being considered as a joint author. This paper aims to create a concrete foundation by emphasising such impact under the Copyright Act, 1957. Furthermore, the paper considers the stance of the US, UK and Australia in protecting AI generated works to suggest measures to the current copyright regime in India. 2023, National Institute of Science Communication and Policy Research. All rights reserved.
Journal of Intellectual Property Rights, Vol-28, No. 3, pp. 193-199.
National Institute of Science Communication and Policy Research
https://doi.org/10.56042/jipr.v28i3.708 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161890379&doi=10.56042%2fjipr.v28i3.708&partnerID=40&md5=06a1c2cf612c9d24d97d542204af46ca
Hema K., School of Law, CHRIST (Deemed to be University), National Law University, Rajasthan, Jodhpur, 342 304, India
Stratified Bioconvective Jet Flow of Williamson Nanofluid in Porous Medium in the Presence of Arrhenius Activation Energy
Arrhenius activation energy; bioconvection; jet flow; porous medium; stratification; Williamson nanofluid
Due to the higher coefficients of heat and mass transfer, the jet flow has become an effective source for the transfer of heat and mass in various industries. Due to these high coefficients, the heat and mass transfer rates will be high in the appliances equipped with the jet flow. Further, the existence of the magnetic field helps in controlling the velocity and the presence of the gyrotactic microorganisms ensure proper mixing of nanoparticles. A dilute nanoparticle suspension is assumed so that it will not affect the movement of motile cells that leads to bioconvection. Hence, this paper aims to analyze the characteristics of heat transfer as well as mass transfer of the jet flow of Williamson nanofluid past a porous stretching sheet in the existence of microorganisms. The mathematical model obtained as a result of these assumptions is transformed into nonlinear ordinary differential equations for which acceptable solutions are obtained using the numerical method. The results thus obtained are presented graphically and based on the outcomes, it is perceived that the magnetic field has control over the velocity profile thus influencing the thermal profile. The increase in the Williamson parameter also reduces the velocity of the fluid flow. Further, an increase was noticed in the thermal and concentration profiles of the nanofluid for higher values of thermophoresis parameter and the increase in the porosity reduced the speed of the flow of nanofluid. 2023 World Scientific Publishing Company.
Puneeth V.; Manjunatha S.; Anwar M.S.; Oreijah M.; Geudri K.; Bafakeeh O.T.; Galal A.M.
Journal of Computational Biophysics and Chemistry, Vol-22, No. 3, pp. 309-319.
Puneeth V., Department of Computational Sciences, CHRIST (Deemed to be University), Ghaziabad, 201003, India; Manjunatha S., Department of Sciences and Humanities, CHRIST (Deemed to be University), Bangalore, 560074, India; Anwar M.S., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Oreijah M., Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, P.O. Box 5555, Makkah, 21955, Saudi Arabia; Geudri K., Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, P.O. Box 5555, Makkah, 21955, Saudi Arabia, Research Unity: Materials, Energy and Renewable Energies, Faculty of Science of Gafsa, University of Gafsa, Gafsa, 2100, Tunisia; Bafakeeh O.T., Department of Industrial Engineering, Jazan University, Jazan, 82822, Saudi Arabia; Galal A.M., Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, 11991, Saudi Arabia, Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, P.O. Box 35516, Mansoura, Egypt
A novel survey for young substellar objects with the W-band filter IV: detection and characterization of low-mass brown dwarfs in Serpens Core
brown dwarfs; stars: late-type; stars: low-mass
We present spectroscopic confirmation of nine M5 or later Serpens Core candidate members, identified using a combination of CFHT WIRCam photometry and IRTF SpeX spectroscopy. Through spectral fitting, we find that the latest of these nine candidate members is best fit by an L0 spectral standard (in the range of M8L2), implying a mass of ?0.010.035M?. If confirmed as a cluster member, this would be one of the lowest mass Serpens Core objects ever discovered. We present analysis of the physical properties of the sample, as well as the likely membership of the candidate Serpens Core members. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Dubber S.; Biller B.; Albert L.; Liu M.; Jose J.; Zhang Z.; Chen W.-P.; Lalchand B.; Damian B.; Sharma T.; Allers K.
Monthly Notices of the Royal Astronomical Society, Vol-520, No. 3, pp. 3383-3395.
https://doi.org/10.1093/mnras/stad283 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152257294&doi=10.1093%2fmnras%2fstad283&partnerID=40&md5=346d6afc77c6fdd869fe68b3ffaf6956
Dubber S., SUPA, Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, EH9 3HJ, United Kingdom; Biller B., SUPA, Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, EH9 3HJ, United Kingdom; Albert L., Institut de Recherche sur les Exoplanes (iREx), Universitde Montrl, Dartement de Physique, C.P. 6128 Succ. Centre-ville, Montrl, H3C 3J7, QC, Canada; Liu M., Institute for Astronomy, University of Hawaii at Manoa, Honolulu, 96822, HI, United States; Jose J., Indian Institute of Science Education and Research (IISER) Tirupati, Rami Reddy Nagar, Karakambadi Road, Mangalam (P.O.), Tirupati, 517 507, India; Zhang Z., Institute for Astronomy, University of Hawaii at Manoa, Honolulu, 96822, HI, United States; Chen W.-P., Graduate Institute of Astronomy, National Central University, Taoyuan, Zhongli, 32001, Taiwan; Lalchand B., Graduate Institute of Astronomy, National Central University, Taoyuan, Zhongli, 32001, Taiwan; Damian B., CHRIST (Deemed to be University, Hosur Road, Bengaluru, 560029, India; Sharma T., Graduate Institute of Astronomy, National Central University, Taoyuan, Zhongli, 32001, Taiwan; Allers K., Department of Physics and Astronomy, Bucknell University, Lewisburg, 17837, PA, United States
Design of decision support system to identify crop water need
BlaneyCriddle Method; Crop water Need; DHT11; HC-05; IoT
Crop Water Need (ET crop) is referred to as the amount of water needed by a crop to grow. ET crop has high significance to identify the adequate amount of irrigation need. In this paper, a decision support system is proposed to identify Crop Water Need. The proposed decision support system is implemented through sensors and android based smartphone. Internet of Things (IoT) based temperature sensor (DHT11) is used to acquire the real time environmental factors that affect the ET crop. The sensor will communicate with android based smartphone application using Bluetooth Technology (BT-HC05). This proposed system has been compared with available evapotranspiration and existing manual method of evapotranspiration and it was found that proposed system is more correlated than existing manual method of evapotranspiration. The correlation coefficient obtained between proposed system and available evapotranspiration is 0.9783. The proposed decision support system is beneficial for farmers, agriculture researchers and professionals. 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Journal of Ambient Intelligence and Humanized Computing, Vol-14, No. 5, pp. 5171-5178.
Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Bhatnagar V., Department of Computer Applications, Manipal University Jaipur, Rajasthan, Jaipur, India
Economic and Political Weekly, Vol-58, No. 14, pp. 65-66.
Vijay S., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India; Nayar A.C.V., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India; Anandhu S., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India
Exploring chatbot trust: Antecedents and behavioural outcomes
Chatbot; Diffusion of innovation; Risk; Technology acceptance; Trust
An awareness about the antecedents and behavioural outcomes of trust in chatbots can enable service providers to design suitable marketing strategies. An online questionnaire was administered to users of four major banking chatbots (SBI Intelligent Assistant, HDFC Bank's Electronic Virtual Assistant, ICICI bank's iPal, and Axis Aha) in India. A total of 507 samples were received of which 435 were complete and subject to analysis to test the hypotheses. Based on the results, it is found that the hypothesised antecedents, except interface, design, and technology fear factors, could explain 38.6% of the variance in the banking chatbot trust. Further, in terms of behavioural outcomes chatbot trust could explain, 9.9% of the variance in customer attitude, 11.4% of the variance in behavioural intention, and 13.6% of the variance in user satisfaction. The study provides valuable insights for managers on how they can leverage chatbot trust to increase customer interaction with their brand. By proposing and testing a novel conceptual model and examining the factors that impact chatbot trust and its key outcomes, this study significantly contributes to the AI marketing literature. 2023 The Authors
https://doi.org/10.1016/j.heliyon.2023.e16074 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156135969&doi=10.1016%2fj.heliyon.2023.e16074&partnerID=40&md5=423c68de28f26d5af11c3bb1915e2e2f
Alagarsamy S., School of Business, Manipal Academy of Higher Education, Dubai Campus, United Arab Emirates; Mehrolia S., School of Business and Management, Christ University, Bangalore, 560029, India
Comparison of the effect of suction-injection-combination on Rayleigh-Bard convection in the case of asymmetric boundaries with those of symmetric ones
The effect of suction-injection-combination (SIC) on the linear and weakly nonlinear stability of Rayleigh-Bard convection is considered in the paper for the cases of symmetric and asymmetric boundary conditions. Using the Maclaurin series with an appropriate number of terms, expression for eigenfunctions is obtained. The linear theory corroborates the results obtained using the chosen eigenfunctions in the limiting case of the no-SIC effect by matching accurately with the exact values concerning the critical Rayleigh number (Rac) and the wave number (?c). It is found that the effect of SIC is to stabilize the system in the case of symmetric boundaries irrespective of SIC being pro-gravity or anti-gravity. However, the effect of SIC is to stabilize/destabilize the system depending on SIC being pro-gravity or anti-gravity in the case of the asymmetric boundaries. We also noted a similar effect in the case of ?c wherein a maximum error of order 10 ? 4 was observed. The main novelty of the present work is studying the influence of SIC on the nonlinear dynamics of the considered problem. It is shown that the effect of SIC is to hasten the onset of chaos. Using various indicators (the largest Lyapunov exponent, the time series solution, the amplitude spectrum, and the phase-space plots), the dynamical behavior of the system is analyzed and the influence of SIC on the dynamics is recorded. The change due to the boundary effect and the SIC on the size of convection rolls and the trapping region where the dynamical system evolves within a bound is highlighted in the paper. 2023 Author(s).
Kanchana C.; Siddheshwar P.G.; Pez L.M.; Laroze D.
https://doi.org/10.1063/5.0146657 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159786556&doi=10.1063%2f5.0146657&partnerID=40&md5=fffa2703afc2330ee0d1d9b189a2f081
Kanchana C., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7 D, Arica, Chile; Siddheshwar P.G., Center for Mathematical Needs, Department of Mathematics, CHRIST(Deemed to be University), Bengaluru, 560029, India; Pez L.M., Departamento de Fica, FACI, Universidad de Tarapac Casilla 7 D, Arica, 1000000, Chile; Laroze D., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7 D, Arica, Chile
A ratiometric fluorescent sensor based on dual-emissive carbon dot for the selective detection of Cd2+
Biomass-derived; Cadmium; Carbon quantum dots; Pollutant; Ratiometric fluorescence sensor
Cadmium (Cd2+), a heavy metal ion used in numerous industries, has toxic adverse effects on the environment; it is crucial to develop a quick and reliable method for Cd2+ determination. Fluorescent biomass-derived carbon quantum dots (CD) with rich carboxyl groups on the surface were synthesized using water amaranth leaves by hydrothermal method with a 12.1% quantum yield. The surface of CD was further modified with 1-pyrene carboxaldehyde (PC) to synthesize pyrene carboxaldehyde-carbon quantum dots (PC-CD). This study developed a fluorescent ratiometric nanosensor using a covalently functionalized CD with pyrene derivative and demonstrates highly selective identification capability towards Cd2+ over competing metal ions. The Nano sensor has significant selectivity towards Cd2+ in an excellent linear range of 0-70 ?M with a detection limit as low as 15 nM and demonstrates excellent water solubility and biocompatibility. Transmission electron spectroscopy (TEM), Fourier Transform infrared spectroscopy (FT-IR), and X-ray photon spectroscopy (XPS) were used to identify the surface functionalization of PC-CD. Finally, the developed ratiometric sensor was used for detecting Cd2+ metal ions from various water effluents. 2023 Elsevier Ltd.
Keerthana P.; Kumar Das A.; Bharath M.; Ghosh M.; Varghese A.
Journal of Environmental Chemical Engineering, Vol-11, No. 2
https://doi.org/10.1016/j.jece.2023.109325 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147733950&doi=10.1016%2fj.jece.2023.109325&partnerID=40&md5=beb7d905c2acdeeac3d56406830b6f03
Keerthana P., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Kumar Das A., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Bharath M., Department of Chemistry, Ashoka University, Haryana, 131029, India; Ghosh M., Department of Chemistry, Ashoka University, Haryana, 131029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India