421
20
11858
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https://archives.christuniversity.in/files/original/97d26d4dda9667705c4fc1b0a73e1ea1.pdf
74a2ad7cee5e13c5d25908d9bd4a3209
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Title
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MPHIL
Mphil
Mphil Thesis
Dublin Core
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Title
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Perception on Tax Planning and Investment Pattern among Academicians
Creator
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V Pallavi
Date
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2018
Source
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Commerce
-
Dublin Core
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Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Perception to Control: End-to-End Autonomous Driving Systems
Subject
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Autonomous driving; CNN; Deep learning; End-to-end systems
Description
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End-to-end autonomous driving systems have garnered a lot of attention in recent years, and researchers have been exploring different ways to make them work. In this paper, we provide an overview of the field with a focus on the two main types of systems: those that use only RGB images and those that use a combination of multiple modalities. We review the literature in each area, highlighting the strengths and limitations of each approach. We also discuss the challenges of integrating these systems into a complete end-to-end autonomous driving pipeline, including issues related to perception, decision-making, and control. Lastly, we identify areas where more research is needed to make autonomous driving systems work better and be safer. Overall, this paper provides a comprehensive look at the current state-of-the-art in end-to-end autonomous driving, with a focus on the technical challenges and opportunities for future research. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Yoshita; Jatain A.; Manju; Kumar S.
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Lecture Notes in Networks and Systems, Vol-968 LNNS, pp. 447-454.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-2079-8_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2079-8_34</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194078866&doi=10.1007%2F978-981-97-2079-8_34&partnerID=40&md5=4e4599686f9f1b5b1845cf63a5362c1d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194078866&doi=10.1007%2f978-981-97-2079-8_34&partnerID=40&md5=4e4599686f9f1b5b1845cf63a5362c1d</a>
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Restricted Access
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ISSN: 23673370; ISBN: 978-981972078-1
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Online
Language
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English
Type
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Conference paper
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Yoshita, Department of Computer Science and Engineering, Amity University, Haryana, Gurugram, India; Jatain A., Department of Computer Science and Technology, Manav Rachna University, Faridabad, India; Manju, Department of Computer Science and Engineering and Information Technology Jaypee Institute of Information Technology, Noida, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Kengeri Campus, Karnataka, Bangalore, 560074, 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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Perception vs. reality: Analysing the nexus between financial literacy and fintech adoption
Subject
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digital lending; financial literacy; fintech; mobile banking; mobile payments
Description
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Fintech has revolutionized the financial services sector, fundamentally transforming how individuals and businesses manage their finances. However, effective and responsible utilization of these innovative services may require a certain degree of financial competence. To explore this possibility, this study investigates the nexus between financial literacy and fintech usage in the Indian context, considering two distinct measures of financial literacy. Primary data were collected conveniently from 391 respondents through a cross-sectional survey. Probit regression was applied to analyze the relationship between the two dimensions of financial literacy and the adoption of fintech services across three segments: mobile banking, mobile payments, and digital lending. The findings reveal a positive relationship between individuals subjectively perceived financial literacy and their propensity to use all three fintech services. Conversely, objectively measured financial literacy demonstrates a positive association only with the likelihood of using mobile banking. The study also identifies demographic characteristics as contributing factors to variations in fintech adoption. The studys findings hold value for policymakers and fintech service providers, as they underscore the importance of enhancing individuals subjective perceptions of their financial abilities to promote wider adoption of fintech services. Shamli Prabhakaran, Mynavathi L., 2023.
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Prabhakaran S.; Mynavathi L.
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Investment Management and Financial Innovations, Vol-20, No. 4, pp. 13-25.
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LLC CPC Business Perspectives
Date
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2023-01-01
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<a href="https://doi.org/10.21511/imfi.20(4).2023.02" target="_blank" rel="noreferrer noopener">https://doi.org/10.21511/imfi.20(4).2023.02</a>
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All Open Access; Gold Open Access
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ISSN: 18104967
Format
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Online
Language
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English
Type
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Article
Coverage
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Prabhakaran S., School of Commerce, Finance and Accountancy, CHRIST deemed to be University, India; Mynavathi L., School of Commerce, Finance and Accountancy, CHRIST deemed to be University, India
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https://archives.christuniversity.in/files/original/3e894a25fa939ea3e4d2058c8fcc857b.jpg
d1bf2104a6d3f13b5beea5a1d7c534df
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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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Perceptions towards Financial Literacy in India
Subject
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CUIM
Description
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The International Journals Research Journal of Social Science & Management Vol.2, No.9, pp.61-69 ISSUE No. 2251-1571
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Ravikumar T
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The International Journals Research Journal of Social Science & Management
Date
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2013
Language
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English
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<a href="https://www.theinternationaljournal.org/ojs/index.php?journal=tij&page=article&op=download&path%5B%5D=1512&path%5B%5D=pdf" target="_blank" title="Click Here" rel="noreferrer noopener">https://www.theinternationaljournal.org/ojs/index.php?journal=tij&page=article&op=download&path%5B%5D=1512&path%5B%5D=pdf</a>
-
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Perceptive VM Allocation in Cloud Data Centers for Effective Resource Management
Subject
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Cloud Computing; Parallelization; Prediction Model; Resource Management; VM Allocation
Description
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Virtual Machine allocation in cloud computing centers has become an important research area. Efficient VM allocation can reduce power consumption and average response time which can benefit both the end users as well as the cloud vendors. This work presents a perceptive priority aware VM allocation policy named P-PAVA algorithm, which takes into account the priority of an application along with its compute, memory and bandwidth requirement. The algorithm performs allocation of the applications based on the priority it gets using a machine learning based prediction model. Furthermore, to reduce the overhead of the allocation algorithm, parallelization is employed before assigning various workloads. To achieve this, the algorithm employs the First fit technique as a baseline for the requests allocation with a criteria as low priority. When compared to the state of the art algorithm for VM allocation for priority aware applications, P-PAVA performs better on several criteria such as average response time, execution time and power consumption. 2021 IEEE.
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Savitha S.; Salvi S.
Source
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2021 6th International Conference for Convergence in Technology, I2CT 2021
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Institute of Electrical and Electronics Engineers Inc.
Date
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2021-01-01
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<a href="https://doi.org/10.1109/I2CT51068.2021.9417960" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I2CT51068.2021.9417960</a>
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ISBN: 978-172818876-8
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Online
Language
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English
Type
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Conference paper
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Savitha S., Christ University, Department of Computer Science Engineering, Bangalore, India; Salvi S., National Institute of Technology Karnataka, Department of Information Technology, Surathkal, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Perceptual gap among corporate world, academics and students: Personal qualities and employability competencies of students
Subject
The topic of the resource
Business Curriculum Development; Employability Skills; Higher Education; India; Personal Qualities & Competencies; Skill Gap
Description
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Personal qualities and employability competencies influence how an individual interacts with others. Employers value employability skills because they are linked to how employees get along with co-workers and customers, job performance, and career success of the employee. Hence personal qualities and employability competencies are considered as one of the essential components for an individuals career development. This study aims to understand the perceptual gap among the corporate world, business school academics and business school students. This study is quantitative in nature and primary data was collected through survey method. The primary data was collected from 377 Master of Business Administration (MBA) students, 276 Business School faculties and 98 managers representing 100 different companies in Bangalore, India. Three different questionnaires were prepared for three groups. All three sets of respondents were asked to rate their perception towards the requirement of personal qualities and skill/competencies required at the workplace in an entry-level job. The study highlights that there is a significant difference in the perception of students, business school faculty and managers towards listed personal qualities and competencies. These perceptual differences result in different types of costs to the company in terms of time, money and energy. The results will help the business schools to develop an innovative business curriculum that can fill the current industry needs. 2019, University of Malaya. All rights reserved.
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Mehrolia S.; Alagarsamy S.
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Malaysian Online Journal of Educational Management, Vol-8, No. 1, pp. 1-17.
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University of Malaya
Date
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2019-01-01
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-s2.0-85077442243&partnerID=40&md5=07567ef8d18824b6e0e998bc23cd33fb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077442243&partnerID=40&md5=07567ef8d18824b6e0e998bc23cd33fb</a>
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Restricted Access
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ISSN: 22894489
Format
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Online
Language
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English
Type
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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
Mehrolia S., Institute of Management, Christ (Deemed to be University), Bangalore, India; Alagarsamy S., Institute of Management, Christ (Deemed to be University), Bangalore, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Perceptual gap among corporate world, academics and students: Personal qualities and employability competencies of students /
Subject
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Management
Description
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Malaysian Online Journal of Educational Management, Vol.8, Issue 1, pp.1-17, ISSN No:2289-4489.
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Sangeeta Mehrolia and Subburaj Alagarsamy
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<a href="https://mojem.um.edu.my/article/view/21360" target="_blank" title="Perceptual gap among corporate world, academics and students: Personal qualities and employability competencies of students" rel="noreferrer noopener">https://mojem.um.edu.my/article/view/21360</a>
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Malaysian Online Journal of Educational Management
Date
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2020-12-31
Language
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English
Type
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Journal Article
-
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Perceptual span in reading Aksharic Kannada
Subject
The topic of the resource
Akshara; Kannada; Moving window paradigm; Perceptual span; Reading; Reading aloud
Description
An account of the resource
Perceptual span, the effective visual field in reading covered in a single fixation, varies across orthographies. The perceptual span for reading English covers 34-character spaces to the left of fixation and around 1415-character spaces to the right of the fixation while for Chinese it is one character space to the left and 3-character spaces to the right of the fixation. In the present study, we estimated the perceptual span for Kannada, a major South Indian language written in akshara (abugida type) using the gaze-contingent moving window paradigm. We recorded eye movements from skilled Kannada readers when they read sentences in different window sizes and compared the eye movement measures with that of full-length sentence reading. Results showed that the perceptual span for Kannada covers one akshara to the left and 6-akshara to the right of the fixation. Future studies need to establish whether all Akshara orthographies show a similar percentual span. 2022, The Author(s), under exclusive licence to Springer Nature B.V.
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Pandey A.; Padakannaya P.
Source
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Reading and Writing, Vol-36, No. 9, pp. 2499-2521.
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Springer Science and Business Media B.V.
Date
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2023-01-01
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<a href="https://doi.org/10.1007/s11145-022-10390-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11145-022-10390-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144873945&doi=10.1007%2Fs11145-022-10390-3&partnerID=40&md5=329429fbbf70f1dba53dab4c726be28e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144873945&doi=10.1007%2fs11145-022-10390-3&partnerID=40&md5=329429fbbf70f1dba53dab4c726be28e</a>
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Restricted Access
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ISSN: 9224777
Format
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Online
Language
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English
Type
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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
Pandey A., Indian Institute of Technology Bhubaneswar, Argul, 752050, India; Padakannaya P., Department of Psychology, Christ University, Bengaluru, 560029, India
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
A name given to the resource
Perfectionism and self-compassion among emerging adults: The role of disciplining experiences
Subject
The topic of the resource
Disciplining experiences; Parental warmth; Perfectionism; Self-compassion
Description
An account of the resource
Although the influence of disciplining experiences on a variety of personality factors has been studied, there is less clarity on how disciplining experiences influence the traits of perfectionism and self-compassion in individuals. The purpose of this study was to examine the relationships between different domains of perfectionism and self-compassion, as well as the influence of specific aspects of disciplining experiences, such as parental warmth and punishment experiences, on perfectionism and self-compassion. In this study, a quantitative cross-sectional correlational design was used. A total of 220 Indian emerging adults from the city of Bangalore were surveyed via convenience sampling. The following scales were administered: Disciplining Experiences Measure, Multidimensional Perfectionism Scale, and Self-Compassion Scale. The results showed that (1) Self Compassion has a significant positive relationship with Perfectionism; (2) Punishment experience has an influence on Other-oriented and Socially Prescribed Perfectionism; (3) Disciplining Helped positively predicted Self-oriented Perfectionism; and (4) Parental Warmth positively predicted Self-compassion in individuals. The findings contribute to the literature emphasizing the influence of disciplining experiences on ones self and personality, as well as the potential benefits of self-compassion-based interventions. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
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Raju P.; Sudhesh N.T.
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Current Psychology, Vol-43, No. 5, pp. 4191-4197.
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Springer
Date
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2024-01-01
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<a href="https://doi.org/10.1007/s12144-023-04531-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12144-023-04531-2</a>
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ISSN: 10461310
Format
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Online
Language
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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
Raju P., CHRIST (Deemed to be University), Bengaluru, India; Sudhesh N.T., CHRIST (Deemed to be University), Bengaluru, India
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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
Performance analysis and interpretation using data visualization
Subject
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Data visualization; Matplotlib in Python; Performance analysis
Description
An account of the resource
The matrix plot library (Matplotlib) is a unique feature in python that helps in the visualization of data via entering certain dataset and codes. It is a portable two-dimension of plot and images are mainly focused on visualizing scientific, technical, and financial data. These matrix plots are performing with the help of python programming and various user interface applications. Most familiar versions of joint photographic and supportable picture graphics are used for the picture visualization. These additional features include the various navigation processes, pages with the line, as well as images. The financial charts of open source website are used for tables and mathematical texts. The library is based on numerical python arrays, giving us visual access to massive quantities of data in readily consumable graphics. The problem statement here delves further into the functions of this feature, which will aid in a better understanding of Python's involvement in the data visualization. 2023 Scrivener Publishing LLC.
Creator
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Mishra V.K.; Iyyappan M.; Soni M.; Jain N.
Source
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Mathematics and Computer Science, Vol-1, pp. 455-462.
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Wiley Blackwell
Date
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2023-01-01
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-s2.0-85168706953&partnerID=40&md5=3cae26a1efe6384b404698d5d1ffbd5e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168706953&partnerID=40&md5=3cae26a1efe6384b404698d5d1ffbd5e</a>
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ISBN: 978-111987983-1; 978-111987967-1
Format
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Online
Language
A language of the resource
English
Type
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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
Mishra V.K., Indian Institute of Information Tecgnology, Allahabad, Devghat Jhalwa, Prayagraj, UP, India; Iyyappan M., Christ (Deemed to be) University, Delhi NCR Ghaziabad, Uttar Pradesh, India; Soni M., Christ (Deemed to be) University, Delhi NCR Ghaziabad, Uttar Pradesh, India; Jain N., Christ (Deemed to be) University, Delhi NCR Ghaziabad, Uttar Pradesh, India
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Dublin Core
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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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Performance analysis of alternating minimization based low complexity detection for MIMO communication system
Subject
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BER; complexity; CPM; MIMO; MPSOs; signal detection
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Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channels AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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Kasiselvanathan M.; Rajagopal M.; Teresa V.V.; Krishnan P.
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Automatika, Vol-64, No. 4, pp. 748-755.
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Taylor and Francis Ltd.
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2023-01-01
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<a href="https://doi.org/10.1080/00051144.2023.2209416" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00051144.2023.2209416</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161968249&doi=10.1080%2F00051144.2023.2209416&partnerID=40&md5=982d8762d3725f8a2bc0ba1d6f72e352" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161968249&doi=10.1080%2f00051144.2023.2209416&partnerID=40&md5=982d8762d3725f8a2bc0ba1d6f72e352</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 51144
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Online
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English
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Article
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Kasiselvanathan M., Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Tamil Nadu, Coimbatore, India; Rajagopal M., Lean Operations and Systems, School of Business and Management, CHRIST University, Karnataka, Bengaluru, India; Teresa V.V., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, India; Krishnan P., Center for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri-Campus, Kerala, Kollam, India
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Conference Papers
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Faculty Publications- Conference Papers
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Title
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Performance analysis of antenna with different substrate materials at 60 GHz
Subject
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Bakelite; FR4; GaAs; Roger TMM10; Rt Duroid; V band frequency
Description
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With a tremendous demand on data rate and bandwidth utilization in RF communication systems, current research studies leads to explore the millimeter-wave unlicensed 57-64 GHz bandwidth of electromagnetic spectrum. This high frequency band is not channelized for long distance communication. However, it could be efficiently utilized for indoor and short range digital communication transmission systems for enhanced data rate and bandwidth utilization. This paper focused on designing antenna that utilizes 60 GHz frequency which falls under this spectrum by using different substrate materials such as like RT Duroid, FR4 Epoxy, Rogers RO3010 and GaAs for Rectangular Microstrip Antenna (RMSA). This research paper presents a detailed analysis on performance parameters comparison like gain, VSWR, return loss & radiation pattern analysis for the 60 GHz antenna designed with substrate materials having different properties. 2017 IEEE.
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Raj C.; Suganthi S.
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Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, Vol-2018-January, pp. 2537-2539.
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Institute of Electrical and Electronics Engineers Inc.
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2017-01-01
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<a href="https://doi.org/10.1109/WiSPNET.2017.8300219" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WiSPNET.2017.8300219</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046364011&doi=10.1109%2FWiSPNET.2017.8300219&partnerID=40&md5=096ef9da1c167933d7c0e270455fa94b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046364011&doi=10.1109%2fWiSPNET.2017.8300219&partnerID=40&md5=096ef9da1c167933d7c0e270455fa94b</a>
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ISBN: 978-150904441-2
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Online
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English
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Conference paper
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Raj C., Christ University, Bangalore, India; Suganthi S., Christ University, Bangalore, India
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Conference Papers
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Title
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Performance analysis of Clustering algorithms for dyslexia detection
Subject
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Bat K-means; Dyslexia; Fuzzy c-means; K-means; learning disorder; SEN; Special Education Need
Description
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Clustering algorithms plays vital role in analysing and evaluating vast number of high dimensional health care data ranging from medical data repositories, clinical data, electronic health records, body sensor networks, IoT devices, and so on. Dyslexia, a learning disorder is a common problem that is found in children during the initial stages of formal education, which is detected as mild to severe. It can also be one of the reasons of failure in the school. According to the literature this difficulty is commonly seen among Special Education Need children. There are few studies focussed on the application of classification algorithms for detecting the presence of dyslexia. This paper focusses one of SDG, goal 4:Quality Education, as dyslexic students can be given equal and quality education. Analyses of an online gamified test-based dataset is done by applying various clustering techniques such as K-means, Fuzzy c-means, and Bat K-means to assess their effectiveness in detecting the problem dyslexia. As the dataset is large, it is observed that usage of clustering methods gives us gain insight into the distribution of data to observe characteristics of each cluster. The clustering results are evaluated using root mean squared error (RMSE), mean absolute error (MAE), Xie-Beni index and it is found K Means outperforms FCM, Bat K Means algorithm for analysing different levels of the learning disorder. The Electrochemical Society
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Sharannavar A.; Banu P.K.N.
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ECS Transactions, Vol-107, No. 1, pp. 10021-10034.
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Institute of Physics
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2022-01-01
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<a href="https://doi.org/10.1149/10701.10021ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.10021ecst</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130530666&doi=10.1149%2F10701.10021ecst&partnerID=40&md5=a5853ead156ef36d78b62edc85b7fe5b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130530666&doi=10.1149%2f10701.10021ecst&partnerID=40&md5=a5853ead156ef36d78b62edc85b7fe5b</a>
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ISSN: 19386737; ISBN: 978-160768539-5
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Online
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English
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Conference paper
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Sharannavar A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 29, India; Banu P.K.N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 29, India
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Conference Papers
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Title
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Performance Analysis of Deep Learning Algorithms for Intrusion Detection in IoT
Subject
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convolution neural network; decision tree classifier; deep learning; deep neural network; IoT
Description
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Due to the wide availability of IoT devices at affordable cost and the ease of use has increased IoT devices increased usage. Due to the enormous usage of the Internet of Things (IoT) devices, the security aspects related to the data are also a significant concern in this data-driven world. Negligence of security measures from users can result in severe data falsification or data thefts. In this scenario, the Intrusion Detection System has a pivotal role in IoT security. Incorporating the deep learning techniques is an effective way to predict various attacks, either known or unknown. This paper highlights the various security threats associated with IoT, the importance of deep learning in IoT intrusion detection, and various IoT intrusion detection systems using deep learning. Comparative analysis of the different deep learning techniques was performed. The results have shown Convolution Neural Networks gave high accuracy in prediction based on various evaluation metrics. 2021 IEEE.
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Jose J.; Jose D.V.
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ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings
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Institute of Electrical and Electronics Engineers Inc.
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2021-01-01
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<a href="https://doi.org/10.1109/ICCISc52257.2021.9484979" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCISc52257.2021.9484979</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113320944&doi=10.1109%2FICCISc52257.2021.9484979&partnerID=40&md5=5dbbd8b51b8f56da45c86c9e9a79fc53" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113320944&doi=10.1109%2fICCISc52257.2021.9484979&partnerID=40&md5=5dbbd8b51b8f56da45c86c9e9a79fc53</a>
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ISBN: 978-166541279-7
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Online
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English
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Conference paper
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Jose J., CHRIST(Deemed to Be University), Dept. of Computer Science, Bangalore, India; Jose D.V., CHRIST(Deemed to Be University), Dept. of Computer Science, Bangalore, India
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Conference Papers
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Title
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Performance Analysis of Deep Learning Pretrained Image Classifiation Models
Subject
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Convolutional Neural Networks (CNNs); Deep Learning; Image classification
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Convolutional Neural Networks (CNNs) is revolutionized in the field of computer vision, with the high accuracy and capability to learn features from raw data. In this research work focused on a comparative analysis of two popular CNN architectures, VGG16 and VGG19. The CIFAR dataset consists of 60,000 images, each with a resolution of 32x32 and it's belong to one of the 10 classes. Experimental results are compared with VGG16 and VGG19 in terms of their accuracy and training time, and to identify any differences in their ability to learn features from the CIFAR-10 dataset. The results of this research can aid in directing the choice of appropriate architectures for image classification tasks as well as the advantages of optimisation strategies for enhancing the efficiency of deep learning models. In order to enhance the performance of these structures, more optimisation methods and datasets may be investigated in subsequent research. 2023 IEEE.
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Deepa; Alli A.; Sheetal; Prasad Km S.
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IEEE 1st International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/AIKIIE60097.2023.10390378" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIKIIE60097.2023.10390378</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187267406&doi=10.1109%2FAIKIIE60097.2023.10390378&partnerID=40&md5=3a50958178d7e3e3228e9fc91e838a08" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187267406&doi=10.1109%2fAIKIIE60097.2023.10390378&partnerID=40&md5=3a50958178d7e3e3228e9fc91e838a08</a>
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ISBN: 979-835031646-9
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Online
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English
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Conference paper
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Deepa, Christ University, Department of Computer Science, Bengaluru, India; Alli A., Presidency College, Department of Computer Applications, Bengaluru, India; Sheetal, Presidency College, Department of Computer Science and Engineering, Bengaluru, India; Prasad Km S., Rao Bahadur y Mahabaleswarappa Engineering College, Department of Computer Applications, Karnataka, Ballari, India
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Articles
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Performance Analysis of Deterministic Finite Automata and Turing Machine Using JFLAP Tool
Subject
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formal language; software tool; system performance; Theory of computation; turing machine
Description
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In real life, the increased data accessing speed and data storage ability is required by most of the machinery fields. However, the real-world problems can be studied effectively with the combination of scientific computational techniques with the mathematical models. Automata theory is known to be the popular mathematical model. Towards most of the software and hardware related applications, the computational methods are analyzed and designed using significant automata theory concepts (likely, pushdown automata (PDA), Turing machines (TMs) and finite automata (FA)). Hence, the conventional lecture-driven style has attracted the reflective preferences of learners using these abstract natured concepts. But the lecture-driven teaching style has less motivated the computer engineering learners. In order to learn automata theory and computational models, we introduce the PDA and TM in a virtual platform. However, this work has motivated the improvement of longitudinal experimental validation and learning using the modern technology. Java Formal Languages and Automata Package (JFLAP) tool is used to write our simulators in JAVA language and the results are obtained from each machine through simulating the input strings. 2021 World Scientific Publishing Company.
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Devi B.P.; Aruna S.K.; Sindhanaiselvan K.
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Journal of Circuits, Systems and Computers, Vol-30, No. 6
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World Scientific
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2021-01-01
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<a href="https://doi.org/10.1142/S021812662150105X" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S021812662150105X</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098708110&doi=10.1142%2FS021812662150105X&partnerID=40&md5=b589512505ec1b86a35d7944e1a7e403" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098708110&doi=10.1142%2fS021812662150105X&partnerID=40&md5=b589512505ec1b86a35d7944e1a7e403</a>
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ISSN: 2181266; CODEN: JCSME
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Online
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English
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Article
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Devi B.P., Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, India; Aruna S.K., Department of Computer Science and Engineering, Christ University, Bangalore, India; Sindhanaiselvan K., Department of Computer Science and Engineering, MVJ College of Engineering, Bangalore, India
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Articles
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Performance analysis of different classifier for remote sensing application
Subject
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Multispectral data; Pixel-based; Remote Sensing; Support Vector Machines
Description
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The classification of remotely sensed data on thematic map is a challenging task from very long time and it is also a goal of todays remote sensing because of complexity level of earth surface and selection of suitable classification technique. Hence selection of best classification technique in remote sensing will give better result. Classification of remotely sensed data is an important task within the domain of remote sensing and it is outlined as processing technique that uses a systematic approach to group the pixels into different classes. In this study, we have classified the multispectral data of Udupi district, Karnataka, India using different classifier including Support Vector Machine (SVM), Maximum Likelihood, Minimum Distance and Mahalanobis Distance classifier. The data of dimension 3980x3201 pixels are collected from a Landsat-3 satellite. Performance of the each classifier is compared by conducting accuracy assessment test and Kappa analysis. The obtained results shows that SVM will give accuracy of 95.35% and kappa value of 0.9408 respectively when compared other classifier, hence effectiveness of SVM is a good choice for classifying remotely sensed data. BEIESP.
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Mahendra H.N.; Mallikarjunaswamy S.; Rekha V.; Puspalatha V.; Sharmila N.
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International Journal of Engineering and Advanced Technology, Vol-9, No. 1, pp. 7153-7158.
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Blue Eyes Intelligence Engineering and Sciences Publication
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2019-01-01
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<a href="https://doi.org/10.35940/ijeat.A1879.109119" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijeat.A1879.109119</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075305709&doi=10.35940%2Fijeat.A1879.109119&partnerID=40&md5=bcbf1edd4cf4e92cce4dabb84452b285" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075305709&doi=10.35940%2fijeat.A1879.109119&partnerID=40&md5=bcbf1edd4cf4e92cce4dabb84452b285</a>
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All Open Access; Gold Open Access
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ISSN: 22498958
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Online
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English
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Article
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Mahendra H.N., Department of ECE, JSS Academy of Technical Education, Visvesvaraya Technological University, Bangalore-560060 and Affiliated, Belagavi, Karnataka, India; Mallikarjunaswamy S., Department of ECE, JSS Academy of Technical Education, Visvesvaraya Technological University, Bangalore-560060 and Affiliated, Belagavi, Karnataka, India; Rekha V., Department of CSE, Christ University, Bangalore, India; Puspalatha V., Department of ISE, Mysore College of Engineering and Management, Mysore, India; Sharmila N., Department of EEE, RNSIT, Bangalore, India
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Articles
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Performance Analysis of Different Classifiers to Build a Classification Model and to Improve the Vigilance Skills in Crime Detection Using Data Mining Techniques
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Management
Description
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International Journal of Advanced Research in Computer Science, Vol-3 (7), pp. 314-317. ISSN-0976-5697
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Mary R. Roseline
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International Journal of Advanced Research in Computer Science
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2012
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English
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Performance analysis of Flyash with Bentonite in grounding pit
Subject
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Bentonite; E.B Curdt's method; fall of potential method; Flyash; Wenner's four point method
Description
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In modern era of power systems, generation, transmission and distribution is well operated and maintained to satisfy the demand and supply management. Various problems are faced every day in all the power system areas. One among the problems faced in all the high voltage electrical equipment's is grounding. Natural grounding is done using charcoal and salt to maintain the less resistance in the grounding pit but the less resistance grounding pit becomes high resistive area due to various reasons like improper maintenance, charcoal and salt getting dissolved in soil after some period of time. In this paper a new method of grounding which uses Flyash and Bentonite is proposed and the performance is been analyzed by various standard methods. 2016 IEEE.
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Selvam A.; Manikandan P.
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2016 3rd International Conference on Electrical Energy Systems, ICEES 2016, pp. 58-61.
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Institute of Electrical and Electronics Engineers Inc.
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2016-01-01
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<a href="https://doi.org/10.1109/ICEES.2016.7510616" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEES.2016.7510616</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982129177&doi=10.1109%2FICEES.2016.7510616&partnerID=40&md5=6dae59a8803a0e68d6a70f674135105f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982129177&doi=10.1109%2fICEES.2016.7510616&partnerID=40&md5=6dae59a8803a0e68d6a70f674135105f</a>
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ISBN: 978-146738261-8
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Online
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English
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Conference paper
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Selvam A., Christ University Faculty of Engineering, Bangalore, India; Manikandan P., Christ University Faculty of Engineering, Bangalore, India
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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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Performance Analysis of Logical Structures Using Ternary Quantum Dot Cellular Automata (TQCA)-Based Nanotechnology
Subject
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Energy; J-K flip-flop; LSSD; Power; Quantum phenomenon for combinational as well as sequential logic; Schrodinger equation; TQCA
Description
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Ternary Quantum-Dot Cellular Automata (TQCA) is a developing nanotechnology that guarantees lower power utilization and littler size, with quicker speed contrasted with innovative transistor. In this article, we are going to propose a novel architecture of level-sensitive scan design (LSSD) in TQCA. These circuits are helpful for the structure of numerous legitimate and useful circuits. Recreation consequences of proposed TQCA circuits are developed by utilizing such QCA designer tool. In realization to particular specification, we need to find the parameter values by using Schrodinger equation. Here, we have optimized the different parameter in the equation of Schrodinger. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
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Tapna S.; Chakrabarti K.; Mukhopadhyay D.
Source
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Lecture Notes in Networks and Systems, Vol-613 LNNS, pp. 421-441.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1007/978-981-19-9379-4_31" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9379-4_31</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161156929&doi=10.1007%2F978-981-19-9379-4_31&partnerID=40&md5=c3bfae582e402fcd7061efb1c8c48efb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161156929&doi=10.1007%2f978-981-19-9379-4_31&partnerID=40&md5=c3bfae582e402fcd7061efb1c8c48efb</a>
Rights
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Restricted Access
Relation
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ISSN: 23673370; ISBN: 978-981199378-7
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Tapna S., Durgapur Institute of Advanced Technology and Management, Durgapur, India; Chakrabarti K., Haldia Institute of Technology, Haldia, India; Mukhopadhyay D., Christ (Deemed to be University), Bengaluru, India