186
20
11858
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Dublin Core
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Title
A name given to the resource
Letters
Letter
Faculty Publications-Letters
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Title
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Realization of Green 5G Cellular Network Role in Medical Applications: Use of ChatGPT-AI
Subject
The topic of the resource
5G cellular networks; ChatGPT; Green technologies; Medical research
Description
An account of the resource
Wireless communication in medical applications improves patient monitoring, care coordination, early disease detection, and patient empowerment. It improves healthcare and patient outcomes. The design and configuration of a solar-powered emergency battery backup system for 5G telecommunication base stations, including medical applications, may vary depending on local climate, power requirements, and resources. In this connection, uninterrupted power supply to the base stations become crucial. The author utilizes the ChatGPT-AI features and prepared this comprehensive letter for realizing the role of sustainable practices towards climatic changes. 2023, The Author(s) under exclusive licence to Biomedical Engineering Society.
Creator
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Janamala V.; Ram I.S.; Daram S.B.
Source
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Annals of Biomedical Engineering, Vol-51, No. 11, pp. 2337-2339.
Publisher
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Springer
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1007/s10439-023-03257-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10439-023-03257-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160822125&doi=10.1007%2Fs10439-023-03257-3&partnerID=40&md5=f6fce6dbf9bb9f6dfde2d525f948c2dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160822125&doi=10.1007%2fs10439-023-03257-3&partnerID=40&md5=f6fce6dbf9bb9f6dfde2d525f948c2dc</a>
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All Open Access; Bronze Open Access; Green Open Access
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A related resource
ISSN: 906964; PubMed ID: 37261590; CODEN: ABMEC
Format
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Online
Language
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English
Type
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Letter
Coverage
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Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India; Ram I.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering & Technology, Andhra Pradesh, Vijayawada, 521139, India; Daram S.B., Department of Electrical and Electronics Engineering, Mohan Babu University (Erst while Sree Vidyanikethan Engineering College), Andhra Pradesh, Tirupati, 517102, India
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Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm
Subject
The topic of the resource
Archimedes optimization algorithm; Composite load modelling; Distributed generation; Electrical distribution network; Solar photovoltaic system
Description
An account of the resource
This paper proposes to resolve optimal solar photovoltaic (SPV) system locations and sizes in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) inspired by physical principles in order to minimize network dependence and greenhouse gas (GHG) emissions to the greatest extent possible. Loss sensitivity factors are used to predefine the search space for sites, and AOA is used to identify the optimal locations and sizes of SPV systems for reducing grid dependence and GHG emissions from conventional power plants. Experiments with composite agriculture loads on a practical Indian 22-bus agricultural feeder, a 28-bus rural feeder and an IEEE 85-bus feeder demonstrated the critical nature of optimally distributed SPV systems for minimizing grid reliance and reducing GHG emissions from conventional energy sources. Additionally, the voltage profile of the network has been enhanced, resulting in significant reductions in distribution losses. The results of AOA were compared to those of several other nature-inspired heuristic algorithms previously published in the literature, and it was observed that AOA outperformed them in terms of convergence and redundancy when solving complex, non-linear and multivariable optimization problems. The Author(s) 2022.
Creator
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Janamala V.; Rani K.R.
Source
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Clean Energy, Vol-6, No. 2, pp. 1036-1052.
Publisher
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Oxford University Press
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1093/ce/zkac010" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/ce/zkac010</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126752288&doi=10.1093%2Fce%2Fzkac010&partnerID=40&md5=907609d2e828ab9a03859695cead9b45" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126752288&doi=10.1093%2fce%2fzkac010&partnerID=40&md5=907609d2e828ab9a03859695cead9b45</a>
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All Open Access; Gold Open Access
Relation
A related resource
ISSN: 25154230
Format
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Online
Language
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English
Type
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Article
Coverage
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Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 074, India; Rani K.R., Department of Electrical & Electronics Engineering, R.V.R. & J.C. College of Engineering, Andhra Pradesh, Guntur, 522 019, India
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Coyote optimization algorithm for optimal allocation of interline Photovoltaic battery storage system in islanded electrical distribution network considering EV load penetration
Subject
The topic of the resource
Battery energy storage system; Coyote optimization algorithm; Electric vehicle load; Islanding operation; Multi-objective optimization; Solar photovoltaic system
Description
An account of the resource
In current times, there is a need to do power system planning to endure situations of any kind. An islanding operation is one such unavoidable situation that may be required in many cases for both technical and economic reasons. First and foremost, this paper focuses on the determination of the best allotment of Interline-Photovoltaic (I-PV) system as per Electric Vehicle (EV) load penetration in the network. With different operational constraints, a multi-objective optimization using real power loss and voltage deviation index is formulated and solved using the Coyote Optimization Algorithm (COA).The paper highlights the computational efficiency of COA with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO), in addition to various literary works, and the results suggest the superiority of COA by its global optima. The required battery energy storage system (BESS) capacity for supplying an islanded network's entire load demand for a day is determined in the second stage. The simulations were carried out on the IEEE 33-bus electrical distribution network (EDN) contemplating different levels of EV load penetration. The proposed methodology results have proved that the required energy is provided by optimal I-PV-BESS backup for a daylong islanding operation and its adaptability for practical situations. 2021 Elsevier Ltd
Creator
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Janamala V.; Sreenivasulu Reddy D.
Source
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Journal of Energy Storage, Vol-41
Publisher
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Elsevier Ltd
Date
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2021-01-01
Identifier
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<a href="https://doi.org/10.1016/j.est.2021.102981" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.est.2021.102981</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111473997&doi=10.1016%2Fj.est.2021.102981&partnerID=40&md5=5aec6b1cd3fbdb6c2e926cab51d4e59b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111473997&doi=10.1016%2fj.est.2021.102981&partnerID=40&md5=5aec6b1cd3fbdb6c2e926cab51d4e59b</a>
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Restricted Access
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ISSN: 2352152X
Format
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Online
Language
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English
Type
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Article
Coverage
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Janamala V., Dept. of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560 074, Karnataka, India; Sreenivasulu Reddy D., Dept. of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560 074, Karnataka, India
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Dublin Core
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Title
A name given to the resource
Letters
Letter
Faculty Publications-Letters
Dublin Core
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Title
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Response of ChatGPT for Humanoid Robots Role in Improving Healthcare and Patient Outcomes
Subject
The topic of the resource
ChatGPT; Humanoid robotics; Medical field; Patient outcomes
Description
An account of the resource
Humanoid robotics is characterized by constant developments, which are supported by several research facilities across the world. Humanoid robots are used in many different industries. In this setting, this letter, written by people, makes use of ChatGPT answers to examine how humanoid robots might be used in the medical industry, particularly in light of the COVID-19 pandemic and in future. Although humanoid robots can help with certain jobs, it is important to recognize the indispensable importance of human healthcare professionals who have knowledge, empathy, and the capacity for critical judgment. Although humanoid robots can complement healthcare initiatives, they shouldnt be viewed as a full-fledged replacement for human care. 2023, The Author(s) under exclusive licence to Biomedical Engineering Society.
Creator
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Janamla V.; Daram S.B.; Rajesh P.; Kumari C.H.N.
Source
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Annals of Biomedical Engineering, Vol-51, No. 11, pp. 2359-2361.
Publisher
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Springer
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1007/s10439-023-03267-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10439-023-03267-1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160816298&doi=10.1007%2Fs10439-023-03267-1&partnerID=40&md5=a8829fbc54f382ee17f5d8b20028f088" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160816298&doi=10.1007%2fs10439-023-03267-1&partnerID=40&md5=a8829fbc54f382ee17f5d8b20028f088</a>
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All Open Access; Bronze Open Access; Green Open Access
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A related resource
ISSN: 906964; PubMed ID: 37270457; CODEN: ABMEC
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Letter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Janamla V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India; Daram S.B., Department of Electrical and Electronics Engineering, Mohan Babu University (Erst while Sree Vidyanikethan Engineering College), Andhra Pradesh, Tirupati, 517102, India; Rajesh P., Department of Electrical and Electronics Engineering, SVERIS College of Engineering, Pamdharpur, Maharashtra, Solarpur, 413304, India; Kumari C.H.N., Department of Electrical and Electronics Engineering, Guru Nanak Institute of Technology, Telangana, Ibrahimpatnam, 501506, India
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https://archives.christuniversity.in/files/original/66f31d110115020336989f6289119adb.pdf
7b8df68ead57651a047ba8df5429cd4f
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Title
A name given to the resource
MPHIL
Mphil
Mphil Thesis
Dublin Core
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Title
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Perception of Anticipatory Psychological Contract:
A Study among Post Graduate Students
Creator
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Janani Swaminathan
Date
A point or period of time associated with an event in the lifecycle of the resource
2019
Source
A related resource from which the described resource is derived
Management
Description
An account of the resource
Psychological Contract is the the unwritten contract between employer and employee,
representing mutual expectations, beliefs, and obligations. The concept is popular
among the HR managers as it is based on managing employment relationships. In
order to best align the requirements of the organization and employee, the Human
Resource manager has to be cognizant of this unwritten ???contract???. Like all
relationships, it is important to shape and understand it starting from recruitment,
through talent management and finally the employee exit. High volume campus
recruitment still forms a key strategy among companies in growing markets, segments.
Hence the understanding of this employment relationship begins with prospective
employees who are the final year students. This study talks about the employment
beliefs, & future employment relationships of final year students as an ???anticipatory
psychological contract??? and includes promises that the future employee wants to
make to their employer, along with the obligations they expect in return. Additionally,
the long-term Career expectations of students, in conjunction with their Work values
was also explored, to understand their interrelationship with the anticipatory
psychological contract. This interrelationship has gained importance in organizational
psychology, organizational behavior, and HRM where there is an opportunity for
practical application.
In this study, the respondents' expectations were measured through the collection of
inputs on pre-employment beliefs from final year postgraduate students soon to be
part of their respective industry???s workforce. The independent variables identified
from the review of literature were career strategy and work values. As part of the
study, these variables were tested for correlation, and multiple regression was done to
understand the impact of career strategy and work values on anticipatory
psychological contract. The results proved that a significant relationship exists
between the dependent variable (anticipatory psychological contract ) and
independent variables( career strategy and work values).
Managing psychological contract is an advantage for employees and employers
whereby, both can understand the expectations of the other to prevent breach or
violation of the contract. Maintaining a positive contract ensures job satisfaction,
commitment and talent retention. This study is significant as the expectations during
the pre-employment stage affect the psychological contract even after organizational
entry. Understanding contributions to the organization and what employees receive in
return are also about managing the psychological contract. This study is also aimed at
employers in redesigning their recruitment & talent management strategies. The
outcomes of strong HRM strategy based on psychological contract are high employee
motivation, productivity, and controlled attrition rates. The study also explores the
formation and transition of psychological contract from university to workplace.
Lastly, the study aims in exposing the expectations of the younger generation, future
workforce. The absence of a longitudinal study is a limitation which would provide
the longer term view of the concept.
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https://archives.christuniversity.in/files/original/97305c0dccce6d6b114afb7b45b0e70d.pdf
80b5bcbec5af3b15495bfd172448b3e7
Dublin Core
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Title
A name given to the resource
MASTERS
Masters' Dissertation
Masters Dissertation
Dublin Core
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Title
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A research on the use of VFX in Indian film director Shankar's films /
Creator
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Janaranjani, M. - 1424035
Date
A point or period of time associated with an event in the lifecycle of the resource
2016-02-01
Source
A related resource from which the described resource is derived
Master of Arts in Media and Communication Studies
Subject
The topic of the resource
Media Studies
Description
An account of the resource
Shankar is a renowned Tamil film director popular for his technically brilliant films. He is well known for his big budgeted films, which are outstanding. The research consists of an in depth analysis of the use of visual effects in all eleven films made by the director using various parameters. The parameters that are considered are title sequence, song sequence; fight sequence, romantic/, dramatic sequence, comedy sequence and similarity of visual effects (VFX) in scenes.
Publisher
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CHRIST (Deemed To Be University)
Contributor
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Department of Media Studies
Format
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PDF
Language
A language of the resource
English
Type
The nature or genre of the resource
Masters Dissertation
-
Dublin Core
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Title
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Digital education for a resilient new normal using artificial intelligenceapplications, challenges, and way forward
Subject
The topic of the resource
artificial intelligence (AI); assessment; Digital education; learning; SWOC; teaching; technology-enhanced learning (TEL)
Description
An account of the resource
As society and technology advance to meet Industry 4.0 requirements, the educational system has also undergone many transformative changes in the past decade. Education is regarded as one of the most important tools for developing individuals, families, businesses, and the economy. New digital technologies are making a great revolution by transforming all aspects of education in teaching, learning, assessment, and feedback. The COVID-19 pandemic has led to the proliferation of digital education and its replacement of traditional education in the educational system. The developments in artificial intelligence (AI) are indispensable in all sectors, including education. AI-integrated learning helps management, teachers, students, parents, and other stakeholders gain insight into their performance to impact the process positively. This chapter aims to throw light on the emerging need and technologies used for digital education and to examine the role of AI in education with examples from the perspectives of teaching, learning, and assessment in the new normal. The application of AI in education and its effectiveness is explored through six publicly available datasets along with strengths, weaknesses, opportunities, challenges, and the future of digital education. This chapter discusses several examples and benefits of AI applications that enhance the educational experience and also emphasizes the need to align it with technology and curriculum to achieve the intended learning outcomes. 2023 Elsevier Ltd. All rights reserved.
Creator
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Janardhanan A.K.; Rajamohan K.; Manu K.S.; Rangasamy S.
Source
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Digital Teaching, Learning and Assessment: the Way Forward, pp. 21-44.
Publisher
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Elsevier
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/B978-0-323-95500-3.00001-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-323-95500-3.00001-8</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166131375&doi=10.1016%2FB978-0-323-95500-3.00001-8&partnerID=40&md5=aa6dba5e4b04dd0afb893585eff26e33" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166131375&doi=10.1016%2fB978-0-323-95500-3.00001-8&partnerID=40&md5=aa6dba5e4b04dd0afb893585eff26e33</a>
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Restricted Access
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ISBN: 978-032395500-3; 978-032395501-0
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Janardhanan A.K., Southern Cross Institute, Parramatta, NSW, Australia; Rajamohan K., School of Sciences, CHRIST University, Karnataka, Bangalore, India; Manu K.S., School of Business and Management, CHRIST University, Karnataka, Bangalore, India; Rangasamy S., School of Business and Management, CHRIST University, Karnataka, Bangalore, India
-
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Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Effect of multiwalled carbon nanotube alignment on the tensile fatigue behavior of nanocomposites
Subject
The topic of the resource
digital image correlation; fatigue; Multi-walled carbon nanotubes; nanocomposites; nanotube alignment; toughening mechanisms
Description
An account of the resource
The one-dimensional structure of carbon nanotubes makes them highly anisotropic, making them to possess unusual mechanical properties, and hence employed as promising nanofiller for the composite structures. However, various carbon nanotube properties are not completely utilized when they are used as reinforcement in composites due to inadequate and immature processing techniques. In the present work, an attempt has been made to utilize the strong anisotropic nature of multi-walled carbon nanotubes (MWCNTs) for improving the fatigue life of nanocomposites only by considering a very low weight percentage (<0.5 wt%). The anisotropy of MWCNTs was imparted into the nanocomposites by aligning them in the epoxy matrix with DC electric field during composite curing. Nanocomposites were made for three MWCNT loadings (0.1, 0.2, and 0.3 wt%). The tensile fatigue behavior was investigated under stress control by applying cyclic sinusoidal load with the frequency range of 13 Hz and stress ratio, R = 0.1. The specimens were tested for the fatigue load until the failure or 1E+05 cycles. The fractured surfaces were examined through scanning electron microscope to analyze the fatigue fracture behavior. A small weight percentage of MWCNT loading (0.2 wt%) into the polymer composite has enhanced on an average 13% to 15% fatigue life, which is encouraging to develop the low cost, improved fatigue life composite structures. Also, the energy dissipation mechanism in MWCNT dispersed nanocomposites has shown a reduced crack propagation rate. The Author(s) 2017.
Creator
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Jangam S.; Raja S.; Reddy K.H.
Source
A related resource from which the described resource is derived
Journal of Composite Materials, Vol-52, No. 17, pp. 2365-2374.
Publisher
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SAGE Publications Ltd
Date
A point or period of time associated with an event in the lifecycle of the resource
2018-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1177/0021998317745585" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/0021998317745585</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049963282&doi=10.1177%2F0021998317745585&partnerID=40&md5=d47efd2e53e1597cd400b33e512065b7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049963282&doi=10.1177%2f0021998317745585&partnerID=40&md5=d47efd2e53e1597cd400b33e512065b7</a>
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A related resource
ISSN: 219983; CODEN: JCOMB
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Jangam S., Structural Technologies Division, CSIR National Aerospace Laboratories, India, Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Anantapur, India, Department of Mechanical Engineering, Faculty of Engineering, Christ University, Bangalore, India; Raja S., Structural Technologies Division, CSIR National Aerospace Laboratories, India; Reddy K.H., Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Anantapur, India
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https://archives.christuniversity.in/files/original/af417dfe12f5d074f9aec9e853b19a24.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
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Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
A name given to the resource
Processing low-cost feedstock's into high quality biodiesal with a novel chemical multi functional process intensifier method /
Subject
The topic of the resource
Chemical
Description
An account of the resource
Patent Number: 202141060717, Applicant: Ravikumar R.
A method and apparatus for producing a cost-effectively purified biodiesel product from feedstocks are provided. It is possible to utilize both a crude feedstock pretreatment process and a free fatty acid refining process in certain implementations before transesterification and the creation of crude biodiesel and glycerin. When it comes to biodiesel refining, there are several options. As a result of these operations, a pure biodiesel product that meets various commercial requirements may be produced.
Creator
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Jangam, Sasidhar.
Source
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<a href="https://drive.google.com/file/d/1K17y8OGqURuKu0NUVUxAbT-9DvDgNg7P/view" target="_blank" title="Processing low-cost feedstock's into high quality biodiesal with a novel chemical multi functional process intensifier method /" rel="noreferrer noopener">https://drive.google.com/file/d/1K17y8OGqURuKu0NUVUxAbT-9DvDgNg7P/view</a>
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Intellectual Property India
Date
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2022-05-13
Language
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English
Type
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Patent
-
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Nature's Lament: A Comparative Psychoanalytical Reading of Childhood Trauma in Select War Narratives
Description
An account of the resource
Sustainable Development has become an inevitable need of the hour. This paper problematizes the trauma of children as represented in the narratives, Beasts of No Nation by Uzodinma Iweala and A Long Way Gone by Ishmael Beah. The incomprehensibility of trauma, it's varied representation in fiction, dissociation of child psyche, and its detrimental effect on children is substantiated using psychoanalytic theory of trauma proposed by Cathy Caruth and contemporary trauma theorists. The paper argues the atrocities children are forced to be involved into, causes profound trauma in themselves leading to, encumbering of sustainable developmental goals. A comparative study of interpretive textual analysis is employed to study the havoc the society endears as a result of war, that wrecks the child, hindering the overall sustainable development. As it voices out the voiceless trauma of children the paper also aims in divulging the decisive influence of the select literary narratives in sensitizing the society in achieving societal as well as environmental sustainability. The Electrochemical Society
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Jansy E.; Mathews S.P.
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ECS Transactions, Vol-107, No. 1, pp. 16867-16878.
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Institute of Physics
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1149/10701.16867ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.16867ecst</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130583248&doi=10.1149%2F10701.16867ecst&partnerID=40&md5=72e04e94c3d011a855affd4b650ac224" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130583248&doi=10.1149%2f10701.16867ecst&partnerID=40&md5=72e04e94c3d011a855affd4b650ac224</a>
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ISSN: 19386737; ISBN: 978-160768539-5
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Jansy E., Department of English, Christ (Deemed to be) University, Bangalore, 560029, India; Mathews S.P., Department of English, Christ (Deemed to be) University, Bangalore, 560029, India
-
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Development of an efficient real-time H.264/AVC advanced video compression encryption scheme
Subject
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68P25; Cryptography; H.264/AVC; Information security; MPEG2; Multimedia; Video; Video processing
Description
An account of the resource
Multimedia is the combination of media such as text, graphics, video clips, and audio files. In todays world, multimedia plays an important role in many applications that we use in our daily lives. It is used in educational software, animation, sound, and text, as well as multi-media software. H.264/AVC video compression is extremely efficient in terms of compression. Despite this, H.264/AVC requires a lot of processing and consumes a lot of power insdespite of the fact that its compression efficiency is lower than that of H.264/AVC. We examine the various methods of Video H.264 Advanced Video Compression Standard Encryption Schemes in this paper. The performance of all types of encryption techniques will be evaluated using parameters such as cost overhead, delay, and encryption quality. This will provide us with a detailed comparative analysis of video encryption schemes, allowing us to determine which one is far more efficient for H.264/AVC. 2021 Taru Publications.
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Janu N.; Kumar A.; Raja L.; Bhatnagar V.; Kumar A.; Kumar S.; Poonia R.C.
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Journal of Discrete Mathematical Sciences and Cryptography, Vol-24, No. 8, pp. 2245-2255.
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Taylor and Francis Ltd.
Date
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2021-01-01
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<a href="https://doi.org/10.1080/09720529.2021.2011104" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2021.2011104</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121872288&doi=10.1080%2F09720529.2021.2011104&partnerID=40&md5=6dc2fffac4cd61de387964f555e94bc2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121872288&doi=10.1080%2f09720529.2021.2011104&partnerID=40&md5=6dc2fffac4cd61de387964f555e94bc2</a>
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ISSN: 9720529
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Online
Language
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English
Type
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Article
Coverage
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Janu N., Department of Computer Science Engineering, Swami Keshvanand Institute of Technology, Management Gramothan, Rajasthan, Jaipur, 302017, India; Kumar A., Department of Computer Science Engineering, Swami Keshvanand Institute of Technology, Management Gramothan, Rajasthan, Jaipur, 302017, India; Raja L., Department of Computer Application, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Bhatnagar V., Department of Computer Application, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Kumar A., School of Computer Science and IT, JAIN (Deemed to University), Karnataka, Bangalore, 560069, India; Kumar S., Jaipuria Institute of Management, Jaipur, Rajasthan, India; Poonia R.C., Department of Computer Science CHRIST, Deemed to be University), Karnataka, Bangalore, 560029, India
-
https://archives.christuniversity.in/files/original/f58958a359dca9281db9ff1ca31a50d5.jpg
34b226f4e232828fb71c9ff1f8d493c9
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
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Title
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21st Century Teacher Educator
Subject
The topic of the resource
Chemistry
Description
An account of the resource
Golden Research Thoughts, Vol. 2, Issue 11, pp. 40-45, ISSN No. 2231-5063
Creator
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Jaqueline Kareem
Publisher
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Golden Research Thoughts
Date
A point or period of time associated with an event in the lifecycle of the resource
2013
Language
A language of the resource
English
-
Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Hybrid AI Talent Acquisition Model: An Opinion Mining and Topic based approach
Subject
The topic of the resource
Analytics; Artificial Intelligence; NLP; Sentiment Analysis; Topic modelling
Description
An account of the resource
Artificial Intelligence models have found their usage in the human resource domain. In this paper, job reviewers' opinions on online discussion boards have been captured. The relative importance of factors has been established through an extensive literature review. First, LDA Topic modelling by adopting PCA is performed on unstructured text data has been analyzed. Second, sentiment analysis using the Li-Hu method has been employed to understand job seekers' satisfaction with job portals. The proposed model, 'Hybrid AI Talent Acquisition Model,' follows a novel approach to streamlining the jobseeker opinion related to online outlets. 2022 IEEE.
Creator
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Jas D.; Antony A.C.; Saxena A.; Sharma M.; Gupta S.
Source
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2022 2nd International Conference on Intelligent Technologies, CONIT 2022
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1109/CONIT55038.2022.9847968" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT55038.2022.9847968</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137260005&doi=10.1109%2FCONIT55038.2022.9847968&partnerID=40&md5=673ee33b94c99713d8a3f968987b4750" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137260005&doi=10.1109%2fCONIT55038.2022.9847968&partnerID=40&md5=673ee33b94c99713d8a3f968987b4750</a>
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ISBN: 978-166548407-7
Format
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Online
Language
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English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Jas D., Christ University, India; Antony A.C., Christ University, India; Saxena A., Christ University, India; Sharma M., Christ University, India; Gupta S., Christ University, India
-
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Strategic perspective of internal branding: A critical review /
Subject
The topic of the resource
Management
Description
An account of the resource
European Journal of Business and Management, Vol.6, Issue 34, pp.98-105, ISSN No: 2222-1905 (Print), 2222-2839 (Online).
Creator
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Jasmine Simi
Source
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<a href="https://www.iiste.org/Journals/index.php/EJBM/article/view/17143" target="_blank" title="Strategic perspective of internal branding: A critical review" rel="noreferrer noopener">https://www.iiste.org/Journals/index.php/EJBM/article/view/17143</a>
Publisher
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IISTE
Date
A point or period of time associated with an event in the lifecycle of the resource
2014-01-05
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
https://archives.christuniversity.in/files/original/7f2bc402496d09effd9a43c78661dc7e.jpg
88b55f3c03aab59247318c45ad729126
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Brand together: How co-creation generates innovation and re-energizes brands /
Subject
The topic of the resource
Management Studies
Description
An account of the resource
Vels Management Journal, Vol-1 (2), pp. 98-100. ISBN-978-0-7494-6325-0
Creator
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Jasmine, Simi.
Publisher
An entity responsible for making the resource available
Vels Management Journal
Language
A language of the resource
English
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Stacked LSTM a Deep Learning model to predict Stock market
Subject
The topic of the resource
Deep Learning; Machine Learning; RMSE; SLSTM; Stock market prediction; Stock markets
Description
An account of the resource
The goal of Stock Market Prediction is to forecast the future value of a company's financial stocks. The use of machine learning and deep learning technologies in stock market prediction technologies is a recent trend. Machine learning makes predictions based on the values of current stock market indices by training on their previous values in sequential timely order using the artificial neural network, while deep learning makes predictions based on the values of current stock market indices by training on their previous values in sequential timely order using the artificial neural network. 2022 IEEE.
Creator
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Jaswanth B.; Kaushik J.
Source
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Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 17-22.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1109/ICAC3N56670.2022.10074222" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074222</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152195442&doi=10.1109%2FICAC3N56670.2022.10074222&partnerID=40&md5=13319ec412f5bdbf1abe917543ac6590" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152195442&doi=10.1109%2fICAC3N56670.2022.10074222&partnerID=40&md5=13319ec412f5bdbf1abe917543ac6590</a>
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ISBN: 978-166547436-8
Format
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Online
Language
A language of the resource
English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Jaswanth B., Christ University, Department of Data Science, India; Kaushik J., Christ University, Department of Data Science, India, Mit (ADT) University, Pune, India
-
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Title
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Editorials
Editorial
Faculty Publications- Editorial
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Title
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Preface
Description
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[No abstract available]
Creator
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Jat D.S.; Shukla S.; Unal A.; Mishra D.K.
Source
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Lecture Notes in Networks and Systems, Vol-132, pp. v-vi.
Publisher
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Springer
Date
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2021-01-01
Identifier
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089435689&partnerID=40&md5=bb0dff414714359030bc31b2f0de9cf5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089435689&partnerID=40&md5=bb0dff414714359030bc31b2f0de9cf5</a>
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ISSN: 23673370
Format
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Online
Language
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English
Type
The nature or genre of the resource
Editorial
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Jat D.S., Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia; Shukla S., CHRIST (Deemed to be University), Lavasa Campus, Pune, Lavasa, India; Unal A., Stanford University, Stanford, CA, United States; Mishra D.K., Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India
-
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Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Deep Convolution Neural Network for RBC Images
Description
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The suggested study's objectives are to develop an unique criterion-based method for classifying RBC pictures and to increase classification accuracy by utilizing Deep Convolutional Neural Networks instead of Conventional CNN Algorithm. Materials and Procedures A dataset-master image dataset of 790 pictures is used to apply Deep Convolutional Neural Network. Convolutional Neural Network and Deep Convolutional Neural Network comparison using deep learning has been suggested and developed to improve classification accuracy of RBC pictures. Using Gpower, the sample size was calculated to be 27 for each group. Results: When compared to Convolutional Neural Network, Deep Convolutional Neural Network had the highest accuracy in classifying blood cell pictures (95.2%) and the lowest mean error (85.8 percent). Between the classifiers, there is a statistically significant difference of p=0.005. The study demonstrates that Deep Convolutional Neural Networks perform more accurately than Conventional Neural Networks while classifying photos of blood cells[1]. 2022 IEEE.
Creator
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Jatothu R.; Sireesha A.; Ganesh Kumar R.; Joshi K.
Source
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Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
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<a href="https://doi.org/10.1109/ICSES55317.2022.9914363" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES55317.2022.9914363</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141509644&doi=10.1109%2FICSES55317.2022.9914363&partnerID=40&md5=d65965765f824ef5bb506cb67c2c119f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141509644&doi=10.1109%2fICSES55317.2022.9914363&partnerID=40&md5=d65965765f824ef5bb506cb67c2c119f</a>
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Restricted Access
Relation
A related resource
ISBN: 978-166547413-9
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Jatothu R., Teegala Krishna Reddy Engineering College, Department of CSE, Hyderabad, India; Sireesha A., Teegala Krishna Reddy Engineering College, Computer Science and Engineering; Ganesh Kumar R., CHRIST (Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Kanminike, Bangalore, 560 074, India; Joshi K., Uttaranchal University, India
-
https://archives.christuniversity.in/files/original/d0376b692dc3436cec2f2050e2197416.pdf
0440e807da388455fb5708c29f026a37
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Title
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MPHIL
Mphil
Mphil Thesis
Dublin Core
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Title
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Work-Family Interface during the Age thirty Transition:
Experiences of Women Professionals from the Corporate sector
Creator
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Javalgekar Supriya Shreekant
Date
A point or period of time associated with an event in the lifecycle of the resource
2012
Source
A related resource from which the described resource is derived
Psychology
Description
An account of the resource
The age thirty transition is a significant developmental transition in the lives of women. Past studies have found this to be a period of disruption and re-evaluation of choices before lasting commitments are made in work and family. This research is focused on studying the experiences of women professionals from the corporate sector as they negotiate the age thirty transition and the work-family interface during this transition period. It provides a current understanding of this transition in lives of women professionals in the context of urban India. Based in the paradigm of phenomenology, this study follows the IPA method. Semi-structured interviews were conducted with six women and the data was analyzed at individual as well as cross-case level. The findings indicate that approach of age thirty i.e. approximately between ages 25 and 31 is a transitional period as the young women enter and establish themselves in adult roles in work and family. The changes in their environment and social expectations interact with developmental changes within the ??self. Amidst unique individual experiences, the results suggest a common structure of the transition experience with distinct phases and an evolution of work-family interface across these phases.
Keywords: age thirty transition, work-family interface
-
Dublin Core
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Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Adoption of knowledge-graph best development practices for scalable and optimized manufacturing processes
Subject
The topic of the resource
Data Analytics; Data Fabric; Enterprise knowledge graph; Machine learning; Ontology; Smart manufacturing
Description
An account of the resource
Using data analytics to properly extracting insights that are in-line to the enterprises strategic goals is crucial for the business sustainability. Developing the most fitting context as a knowledge graph that answer related businesses questions and queries at scale. Data analytics is an integral main part of smart manufacturing for monitoring the production processes and identifying the potentials for automated operations for improved manufacturing performance. This paper reviews and investigates the best development practices to be followed for industrial enterprise knowledge-graph development that support smart manufacturing in the following aspects: Decision for intelligent business processes, data collection from multiple sources, competitive advantage graph ontology, ensuring data quality, improved data analytics, human-friendly interaction, rapid and scalable enterprise's architectures. Successful digital-transformation adoption for smart manufacturing as an enterprise knowledge-graph development with the capability to be transformed to data fabric supporting scalability of smart manufacturing processes in industrial enterprises. 2023
Creator
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Jawad M.S.; Dhawale C.; Ramli A.A.B.; Mahdin H.
Source
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MethodsX, Vol-10
Publisher
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Elsevier B.V.
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1016/j.mex.2023.102124" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mex.2023.102124</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150421471&doi=10.1016%2Fj.mex.2023.102124&partnerID=40&md5=fc65cf6db001d5dbcb3157adda01d0cb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150421471&doi=10.1016%2fj.mex.2023.102124&partnerID=40&md5=fc65cf6db001d5dbcb3157adda01d0cb</a>
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All Open Access; Green Open Access
Relation
A related resource
ISSN: 22150161
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Jawad M.S., Fsktm Faculty, Uthm University, Malaysia, Christ University, Bangalore, India; Dhawale C., Fsktm Faculty, Uthm University, Malaysia, Christ University, Bangalore, India; Ramli A.A.B., Fsktm Faculty, Uthm University, Malaysia, Christ University, Bangalore, India; Mahdin H., Fsktm Faculty, Uthm University, Malaysia, Christ University, Bangalore, India