Portable and Automated Healthcare Platform Integrated with IoT Technology
subject: Artificial intelligence; Data analysis; IoT; Machine learning; Real time systems; Wearable sensors
description: The diverse applications of Internet of Things (IoT), Artificial Intelligence (AI) in Bioelectronics - face recognition, pulse wave monitoring and insulin level measurements have been discussed in this chapter. This chapter also emphasizes on the IoT and its applications in biological sensors. The chapter focuses on IoT systems, such as neural networks and other channels that are integrated into a secure healthcare monitoring system in order to make the system operate as a smart model in healthcare sector that determines the priority based on health parameters gathered from the sensor nodes. In this work, the different approaches of IoT with distinct methodologies are also deliberated. 2024 Scrivener Publishing LLC.
creator: Preetham Noel P.; Kishorekumar R.
source: Internet of Things in Bioelectronics: Emerging Technologies and Applications, pp. 251-261.
publisher: wiley
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-139424190-3; 978-139424187-3
format: Online
language: English
type: Book chapter
coverage: Preetham Noel P., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Kishorekumar R., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Bengaluru, India

Statistical Data Analysis of Anticorrosion and Antifouling: Unveiling Insights from Performance and Trends
subject: CA (contact angle); CAH (contact angle hysteresis); MIC (microbiologically influenced corrosion); Polymers; SLIPS (slippery lubricant-infused porous surfaces); WCA (water contact angle)
description: This chapter provides intended insights about the current antifouling and anticorrosion conventional coatings, each with a distinct quality, that fall short of fully satisfying the contemporary requirements of material preservation in a marine environment. To solve these issues and accomplish the required goals, a number of novel terminologies and procedures have been investigated and several recently published research works were referred to and briefly examined in order to provide appropriate conclusions. In order to explore new methodologies that provide total protection for materials from biofouling and corrosion in maritime environments, this study looks into the complex realm of antifouling and anticorrosion methods. 2024 Scrivener Publishing LLC.
creator: Preetham Noel P.; Kumar K.P.; Mani Joseph P.; Pillai V.J.
source: Novel Anti-Corrosion and Anti-Fouling Coatings and Thin Films, pp. 459-473.
publisher: wiley
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-139423431-8; 978-139423428-8
format: Online
language: English
type: Book chapter
coverage: Preetham Noel P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Kumar K.P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Mani Joseph P., Department of Mathematics and Computer Science, Modern College of Business and Science, PC, Muscat, Oman; Pillai V.J., Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India

Photometric identification of objects from galaxy evolution explorer survey and sloan digital sky survey
subject: Dust; Extinction; galaxies:Photometry; galaxy; General; hertzsprungrussell and colour; magnitude diagrams; stars:General; techniques:Photometric
description: We have used Galaxy Evolution Explorer (GALEX) and Sloan Digital Sky Survey (SDSS) observations to extract seven band photometric magnitudes for over 80 000 objects in the vicinity of the North Galactic Pole. Although these had been identified as stars by the SDSS pipeline, we found through fitting with model spectral energy distributions that most were, in fact, of extragalactic origin. Only about 9 per cent of these objects turned out to be mainsequence stars and about 11 per cent were white dwarfs and red giants collectively, while galaxies and quasars contributed to the remaining 80 per cent of the data. We have classified these objects into different spectral types (for the stars) and into different galactic types (for the galaxies). As part of our fitting procedure, we derive the distance and extinction to each object and the photometric redshift towards galaxies and quasars. This method easily allows for the addition of any number of observations to cover a more diverse range of wavelengths, as well as the addition of any number of model templates. The primary objective of this work is to eventually derive a three-dimensional extinction map of the Milky Way Galaxy. 2013 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society.
creator: Preethi K.; Gudennavar S.B.; Bubbly S.G.; Murthy J.; Brosch N.
source: Monthly Notices of the Royal Astronomical Society, Vol-437, No. 1, pp. 771-776.
publisher: Oxford University Press
date: 2013-01-01
rights: All Open Access; Bronze Open Access; Green Open Access
relation: ISSN: 358711; CODEN: MNRAA
format: Online
language: English
type: Article
coverage: Preethi K., Department of Physics, Christ University, Bangalore 560 029, India; Gudennavar S.B., Department of Physics, Christ University, Bangalore 560 029, India; Bubbly S.G., Department of Physics, Christ University, Bangalore 560 029, India; Murthy J., Indian Institute of Astrophysics, Bangalore 560 034, II Block, Koramangala, India; Brosch N., The Wise Observatory and the School of Physics and Astronomy, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel

Analysis of Fine Needle Aspiration Images by Using Hybrid Feature Selection and Various Machine Learning Classifiers
subject: Breast cancer; Classification; Feature selection; Fine needle aspiration cytology; Machine learning
description: Women die of breast cancer most often worldwide. Breast tissue samples can be examined by radiologists, surgeons, and pathologists for evidence of this cancer. Fine needle aspiration cytology (FNAC) can be used to detect this cancer through a visual microscopic examination of breast tissue samples. This sample must be examined by a cytopathologist in order to determine the patient's risk of breast cancer. To determine if a tumor is malignant, the nuclei of the cells must be characterized by their chromatin texture patterns. A machine learning method is used in order to categorize FNA images into two classes, respectively Malignant and Benign. For detecting abnormalities, numerous feature collection methods and machine learning means are applied here. Using features extracted from the FNA image set, UCI machine learning datasets are used to validate the proposed approach. This paper compares three classification methodologies, namely random forests, Naive Bayes, and artificial neural networks, by examining their accuracy, specificity, precision, and sensitivity, respectively. With the ANN and PCA along with the Chi-square selection method, 99.1% of the classifiers are correctly classified. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
creator: Preethi N.; Jaisingh W.
source: Lecture Notes in Networks and Systems, Vol-462, pp. 383-392.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 23673370; ISBN: 978-981192210-7
format: Online
language: English
type: Conference paper
coverage: Preethi N., Christ University, Pune, Lavasa, India; Jaisingh W., School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, Bhopal, India

A succinct analysis for deep learning in deep vision and its applications
subject: ConvNet; Data processing; Deep learning; Generative graphical model; Social media analysis; Stochastic hopfield network
description: Introduction: Deep learning methodologies can achieve forefront results on testing deep vision issues, for instance, picture portrayal, an object area, face affirmation, Natural Language Processing, Visual Data Processing and online life examination. ConvNet, Stochastic Hopfield network with hidden units, generative graphical model and sort of artificial neural network castoff to absorb competent information coding in an unproven way are deep learning plans used in deep vision issues. Objection: This paper gives a succinct survey of without a doubt the most critical Deep learning structures. Deep vision assignments, for instance, object revelation, face affirmation, Natural Language Processing, Visual Data Processing, web-based life examination and their utilization of this task are discussed with a short record of the historic structure, central focuses and impairments. Future headings in arranging Deep learning structures for Deep vision issues and the troubles included are analysed. Method: This paper consists of surveys. In Section two, Deep Learning Approaches and Changes are audited. In section three, we tend to portray the uses of Applications of deep learning in deep vision. In Section four, Deep learning challenges and directions are mentioned. At long last, Section five completes the paper with an outline of the results. Results and Conclusion: Though deep learning can recall a huge proportion of data and info, its feeble cognitive and perception of the data makes it a disclosure answer for certain applications. Deep learning despite everything encounters issues in showing various erratic facts modalities at the equal period. Multimodal profound learning is an extra notable heading in progressing deep learning research. IJCRR.
creator: Preethi N.; Singh W.J.
source: International Journal of Current Research and Review, Vol-13, No. 6, pp. 85-92.
publisher: Radiance Research Academy
date: 2021-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 22312196
format: Online
language: English
type: Article
coverage: Preethi N., Department of Data Science, CHRIST (Deemed to be University), Pune, Lavasa, India; Singh W.J., Department of Computer Applications, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India

Discussion on ostracised transgender individuals and entrepreneurship through review of literature
subject: Entrepreneurial motivations; Entrepreneurship; Transgender challenges; Transgender entrepreneurs; Transgender individuals
description: Transgender individuals are the most deteriorated individuals in society. They face a wide range of trodden lives and setbacks in their everyday life. They encounter challenges and difficulties from the time they violate the social norms, they are also humiliated from their biological families and are sent to live a life of their own. In India, the Mughal period was termed to be the golden years for transgender individuals. It was after colonisation and implementation of the Criminal Tribes Act 1871 transgender individuals were treated brutally and eventually begging and sex work became their only source of income. Alongside, entrepreneurship proved to be a success factor as it brought the shunned women into the mainstream society. Thereby, entrepreneurship increases social capital and thus encourages transgenders in job creation activities. Despite a dire situation, there are transgender individuals who have faced all odds and have proved to set benchmarks in the society in varied fields. There are sporadic transgender individual entrepreneurs in the country who have paved their way into the entrepreneurial world, which is an important area to be explored. The study focuses on literature relating to transgender individuals, challenges faced by transgender individuals, entrepreneurial motivations and also transgender entrepreneurs. 2020 SERSC.
creator: Preethi Sarah J.P.; Karthigai Prakasam C.
source: International Journal of Advanced Science and Technology, Vol-29, No. 5, pp. 4985-4997.
publisher: Science and Engineering Research Support Society
date: 2020-01-01
rights: Restricted Access
relation: ISSN: 20054238
format: Online
language: English
type: Article
coverage: Preethi Sarah J.P., Department of Commerce, CHRIST (Deemed to be University), Bangalore, India; Karthigai Prakasam C., Department of Commerce, CHRIST (Deemed to be University), Bangalore, India

Sartrean Insights on Understanding the Repercussions of Rape Trauma in the Gripping Narratives of Roxanne Gay and Neesha Arter
subject: Embodiment; Emotion; Fundamental Project; Memoirs; Rape; Rape Trauma; Sartre
description: Women have been subjugated to violence from time immemorial. One of the most horrific forms of violence is sexual violence and rape. Their voice was not heard until the rise of second wave feminism which began around 1970. Women started to write about their experiences in the form of memoirs to bring to light the atrocities of rape and the implications of trauma and its impact. Sexual assault inflicts profound psychological and emotional wounds that give rise to a condition referred to as Rape Trauma. Rape Trauma Syndrome includes of a wide range of physical and psychological signs such as insomnia, nightmare, flashbacks, anxiety, and depression and so on and they last for a long period of time in one?s life. The research uses two memoirs written by American women, Roxanne Gay?s Hunger: A Memoir of my Body (2017) and Neesha Arter?s Controlled: The worst Night of my Life and its Aftermath (2015). The research uses Sartre?s perspective on embodiment, freedom, self to analyse rape trauma. The research uses Jean Paul Sartre?s concept to analyse the immense effects of rape trauma on the lives of the two women as documented in their memoirs. Using the framework provided by Constance L. Mui, the research delineates how rape trauma destroys the fundamental project of the protagonists and how rape trauma annihilates an individual from her own body and isolates her from the world. 2024 Sciedu Press. All rights reserved.
creator: Preethika H.F.; Sharon J.
source: World Journal of English Language, Vol-14, No. 3, pp. 264-273.
publisher: Sciedu Press
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 19250703
format: Online
language: English
type: Article
coverage: Preethika H.F., Department of English and Cultural Studies, Christ (Deemed to be University), Bangalore, India; Sharon J.

Enhancing Workplace Efficiency with The Implementation of the Internet of Things to Advance Human Resource Management Practices
subject: Change Management; Data Privacy; Employee Engagement; Employee Satisfaction; Human Resource Management (HRM) Practices; Internet of Things (IoT); Organizational Dynamics; Qualitative and Quantitative Analysis; Real-time Monitoring; Security Concerns; Technological Innovation; Technology Integration; Workplace Culture; Workplace Efficiency
description: Improving human resource management via the use of the Internet of Things (IoT) is the focus of this research. The primary objective is to enhance productivity in the workplace. The researchers utilized a mix of qualitative (describing) and quantitative (numbers-based) techniques to collect and analyses data. This research shows that key HR KPIs are positively affected by using IoT in HRM. Businesses utilizing IoT for real-time monitoring have better operations and more engaged employees. The study found that state-of-the-art technology, extensive training, and effective change management were needed to overcome people's security concerns and unwillingness to change. The Internet of Things may transform HRM and corporate operations, according to study. According to study, companies should invest in people-focused technologies and services. It emphasizes creating a workplace that embraces new technology while prioritizing security and privacy. In conclusion, the study's results may help organizations navigate HRM and the IoT's changing terrain. It suggests linking HR and technology to improve workplace flexibility and efficiency. 2024 IEEE.
creator: Preeti; Patil S.; Lenka R.M.; Sandhya D.; Lourens M.; Chakravarthi M.K.
source: TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-835038427-7
format: Online
language: English
type: Conference paper
coverage: Preeti, Hr. Manager Frontier Group, India; Patil S., Indira School of Business Studies, Pune, India; Lenka R.M., Symbiosis International (Deemed) University, Symbiosis Institute of Management Studies, Pune, India; Sandhya D., School of Business and Management, Christ University (Yeshwantpur Campus), India; Lourens M., Durban University of Technology, Faculty of Management Sciences, South Africa; Chakravarthi M.K., VIT-AP University, School of Electronics Engineering, Amaravathi, 522237, India

Statistic analysis of IPL match score and winner inning wise using machine learning algorithms
subject: Cricket analytics; Data analysis; IPL score prediction; Machine learning; Predictive modeling
description: This study explains the statistical analysis of cricket match score prediction using machine learning. According to recent changes in data science and sports, the use of sports-based machine learning and data mining shows the importance of process in outcome performance and prediction. The scope of this research paper is to evaluate current measurements used in the previous work to understand the estimation the ways used to model and analyze data and characterize the variables that govern performance using statistical methods. Actually, this research article will present a reliable statistical tool for data analysis using machine learning algorithms. At present, sports organizations produce enough statistical information on every player, team, match, and season for particular related sports. The first sports researchers were thought to be experts, coaches, team managers, and analysts. Sports organizations want to do statistical analysis of player from their previous data stored on their database using different data mining and machine learning algorithms. Sports data helps coaches and managers in many ways, such as predicting results, analyzing player performance, and skills, and evaluating strategies. Forecasts help managers and organizations make decisions to win teams and competitions. The current evaluation of research shows that primary studies of data mining systems can predict outcomes and evaluate the strengths and weaknesses of each system. Statistical analyses are made for each match for result predictions. Although in many respects this application is very limited. These are prime factors which important to examine machine learning algorithms in these situations to see if the application can give the nearest results in analysis. This research aims to give solutions that will help to make predictions more accurate and precise than previous methods, using more accurate data and machine learning. 2024, Taru Publications. All rights reserved.
creator: Preety; Ray S.K.; Yadav M.; Khare A.; Mishra V.
source: Journal of Interdisciplinary Mathematics, Vol-27, No. 2, pp. 245-258.
publisher: Taru Publications
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9720502
format: Online
language: English
type: Article
coverage: Preety, Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India; Ray S.K., Department of Mathematics and Statistics, Dr. Akhilesh Das Gupta Institute of Technology & Management, Delhi, India; Yadav M., Department of Information Technology, Galgotias College of Engineering and Technology, Uttar Pradesh, India; Khare A., Department of Computer Science and Engineering, Galgotias University, Uttar Pradesh, India; Mishra V., Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India

A Cognitive Architecture Based Conversation Agent Technology for Secure Communication
subject: Agent Technology; Case Base Reasoning Systems; Decision Support System; JADE; Multi-Agent
description: This paper outlines a multi-agent system-based approach to provider selection. Suppliers in the supply chain are different and the demand and supply levels are high. Buy agents will find the right supply agent in our approach. First, the multi-layer classification system is used to rationally arrange and overall selection on suppliers and buyers. Secondly, the purchase information is organized by the supplier agent to improve device performance. The assessment process is then used to select the suppliers initially. In addition to selecting the correct provider and maximizing the value of the purchaser, the time negotiating mechanism is implemented. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
creator: Preety; Singh J.; Yadav M.
source: Communications in Computer and Information Science, Vol-2122 CCIS, pp. 1-12.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 18650929; ISBN: 978-303161297-8
format: Online
language: English
type: Conference paper
coverage: Preety, Christ University Delhi NCR, Ghaziabad, India; Singh J., Department of Artificial Intelligence and Data Science Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, India; Yadav M., Galgotias College of Engineering and Technology, Uttar Pradesh, Greater Noida, India

Role of Green Human Resource Management Practices on Sustainable Performance of the Service Sector Organizations
subject: Management Studies
description: The prominence revolution took place in the 1980s, and then the Green HRM practises movement blew over the sustainable development literature in the 1990s. This represents an excellent practice because it newlineincorporates sustainable development principles into the operational processes newlineof the human resources department. According to Mishra (2017), Green HRM is a tactical instrument for arranging human resource competences and promoting ideas that motivate businesses to embrace sustainable strategies. newlineThe term human resource management (HRM) is used to describe a set of practices, procedures, and methods that are focused on managing and optimizing the performance of personnel within a business, thereby providing the organization with a competitive advantage. Despite the fact that green human resource management has grown to be a major source of concern, India has only relatively handful of first-hand studies done in this area. While conventional HRM concentrates on functions to provide an organisation a competitive edge, green HRM places an emphasis on the capture and retention of green efforts to meet corporate objectives. newlineGreen HRM in India is plagued by a variety of issues. The study has chosen a few traits from the research at hand that may be utilised to create Green HRM practices for sustainable development. It stands to reason for contemporary businesses to take environmental responsibility seriously (Jackson, Renwick, Jabbour and Camen, 2011). Numerous studies show that environmental newlineinitiatives increase production and provide companies a competitive edge (Bombiak and Marciniuk-Kluska, 2018). Although organizational solutions quotmoved beyond pollution control and the mitigation of environmental degradationquot, Saeed, Jun, Nubuor, Priyankara and Jayasuriya (2018) have highlighted its significance in the New Millennium Era.
creator: Preksha Yadav
source: Author's Submission
publisher: Christ(Deemed to be University)
date: 2023-01-01
contributor: Mathew, Jain
rights: Open Access
relation: 61000243
format: PDF
language: English
type: PhD

Role of green human resource management practices on sustainable performance of the service sector organizations
subject: Management
creator: Preksha Yadav -1920082
publisher: CHRIST (Deemed to be University)
date: 2023-10-26
language: English
type: PhD

A Fractional Atmospheric Circulation System under the Influence of a Sliding Mode Controller
subject: atmospheric circulation model; Caputo fractional derivative; CaputoFabrizio fractional derivative; sliding mode controller
description: The earths surface is heated by the large-scale movement of air known as atmospheric circulation, which works in conjunction with ocean circulation. More than (Formula presented.) variables are involved in the complexity of the weather system. In this work, we analyze the dynamical behavior and chaos control of an atmospheric circulation model known as the Hadley circulation model, in the frame of Caputo and CaputoFabrizio fractional derivatives. The fundamental novelty of this paper is the application of the Caputo derivative with equal dimensionality to models that includes memory. A sliding mode controller (SMC) is developed to control chaos in this fractional-order atmospheric circulation system with uncertain dynamics. The proposed controller is applied to both commensurate and non-commensurate fractional-order systems. To demonstrate the intricacy of the models, we plot some graphs of various fractional orders with appropriate parameter values. We have observed the influence of thermal forcing on the dynamics of the system. The outcome of the analytical exercises is validated using numerical simulations. 2022 by the authors.
creator: Premakumari R.N.; Baishya C.; Veeresha P.; Akinyemi L.
source: Symmetry, Vol-14, No. 12
publisher: MDPI
date: 2022-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20738994
format: Online
language: English
type: Article
coverage: Premakumari R.N., Department of Studies and Research in Mathematics, Tumkur University, Tumkur, 572103, India; Baishya C., Department of Studies and Research in Mathematics, Tumkur University, Tumkur, 572103, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Akinyemi L., Department of Mathematics, Lafayette College, Easton, 18042, PA, United States

Performance Evaluation of Convolutional Neural Networks for Stellar Image Classification: A Comparative Study
subject: CNN; Galaxy; Parallel CNN; ResNet; Star; VGG16
description: This study analyzes three distinct convolutional neural network (CNN) models, ResNet, Parallel CNN, and VGG16, for object classification using the Star-Galaxy Classification dataset. The dataset comprises a vast collection of celestial object images, including galaxies, stars, and quasars. The effectiveness of each CNN model is evaluated based on accuracy, a commonly used performance metric. The results reveal that the Parallel CNN model achieved the highest accuracy of 90.08% in classifying celestial objects, followed by VGG16 with an accuracy of 86%, and ResNet with an accuracy of 83%. Specifically, the Parallel CNN model demonstrates superior performance in classifying galaxies and stars. These findings provide valuable insights into the strengths and weaknesses of each model for this specific classification task, guiding the development of more effective CNN models for similar applications in cosmology and other fields. This research contributes to the growing literature on CNN models' application in astronomy and underscores the importance of selecting appropriate models to achieve high accuracy in object classification tasks. The study's insights can be utilized to inform the development of more effective CNN models for similar tasks and facilitate advancements in astronomical research. 2023 IEEE.
creator: Premanand N.; Tarun V.G.; Pawar S.; Jawakar D.N.; Utsav; Deepa S.; Jayapriya J.; Vinay M.
source: 2023 International Conference on Data Science and Network Security, ICDSNS 2023
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 979-835030159-5
format: Online
language: English
type: Conference paper
coverage: Premanand N., Christ University, Department of Computer Science, Bengaluru, India; Tarun V.G., Christ University, Department of Computer Science, Bengaluru, India; Pawar S., Christ University, Department of Computer Science, Bengaluru, India; Jawakar D.N., Christ University, Department of Computer Science, Bengaluru, India; Utsav, Christ University, Department of Computer Science, Bengaluru, India; Deepa S., Christ University, Department of Computer Science, Bengaluru, India; Jayapriya J., Christ University, Department of Computer Science, Bengaluru, India; Vinay M., Christ University, Department of Computer Science, Bengaluru, India

Impact of AI Technology Disruption on Turnover Intention of Employees in Digital Marketing
subject: AI technology disruption; digital marketing industry; job insecurity; job mobility; turnover intention
description: The rapid integration of AI technology into the digital marketing sector has prompted a need to understand its effects on employee perspectives and behaviors. This study investigates how AI adoption influences job insecurity, turnover intention, and job mobility among digital marketing professionals. Addressing concerns about AI rendering roles obsolete is crucial for fostering a supportive work environment. Turnover intention, influenced by AI adoption and potential job dissatisfaction, offers insights into employees' commitment to the industry. Job mobility, influenced by growth prospects and alignment with AI-driven workplaces, sheds light on career aspirations. Our study involving 303 employees of digital marketing industry in India reveals that AI disruption significantly impacts turnover intention, with job insecurity mediating this effect. Additionally, mistreatment by superiors increases turnover intention. Overall, this research underscores the profound impact of AI technology on employees' attitudes, behaviors, and career decisions in digital marketing, providing valuable insights into their perceptions and engagement 2024 IEEE.
creator: Premnath H.; Lohani R.
source: TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-835038427-7
format: Online
language: English
type: Conference paper
coverage: Premnath H., Christ (Deemed to Be University), Pune, India; Lohani R., Christ (Deemed to Be University), Pune, India

Connected k-forcing sets of graphs and splitting graphs
subject: Connected k-forcing number; K-forcing number; Zeroforcing number
description: The notion of k-forcing number of a graph was introduced by Amos et al. For a given graph G and a given subset I of the vertices of the graph G, the vertices in I are known as initially colored black vertices and the vertices in V (G) ? I are known as not initially colored black vertices or white vertices. The set I is a k-forcing set of a graph G if all vertices in G eventually colored black after applying the following color changing rule: If a black colored vertex is adjacent to at most k-white vertices, then the white vertices change to be colored black. The cardinality of a smallest k-forcing set is known as the k-forcing number Zk (G) of the graph G. If the sub graph induced by the vertices in I are connected, then I is called the connected k-forcing set. The minimum cardinality of such a set is called the connected k-forcing number of G and is denoted by Zck (G). This manuscript is intended to study the connected k-forcing number of graphs and the splitting graphs. 2020 the author(s).
creator: Premodkmuar K.P.; Dominic C.; Chacko B.
source: Journal of Mathematical and Computational Science, Vol-10, No. 3, pp. 656-680.
publisher: SCIK Publishing Corporation
date: 2020-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 19275307
format: Online
language: English
type: Article
coverage: Premodkmuar K.P., Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India; Dominic C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, India; Chacko B., Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India

Graphs with large diameter and their two distance forcing number
subject: 2-distance forcing number; 2-distance forcing set; diameter
description: For a given simple graph G = (V,E), the two distance forcing number Z2d (G) is defined as the minimum cardinality among all Z2d-sets in G. This paper examine about Z2d (G) of some graphs with large diameter. Also we determine the 2-distance forcing number of some complement graphs. 2021 the author(s).
creator: Premodkumar K.P.; Dominic C.; Chacko B.
source: Journal of Mathematical and Computational Science, Vol-11, No. 2, pp. 1810-1837.
publisher: SCIK Publishing Corporation
date: 2021-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 19275307
format: Online
language: English
type: Article
coverage: Premodkumar K.P., Department and Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India; Dominic C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, India; Chacko B., Department and Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India

Two distance forcing number of a graph
subject: 2-distance forcing number; Diameter; Graph; K-forcing number
description: Motivated from the graph parameters namely zero forcing number, k-forcing number and the connected k-forcing number, in this article, we introduce a new parameter known as the 2-distance forcing number. Assume that each vertex of a graph G = (V (G), E(G)) is colored as either white or black. Consider the set Z2d of black colored vertices of the graph G. The color change rule changes the color of a white vertex v to black if the white vertex v is the only 2-distance white neighbor of a black vertex u. The set Z2d is called a two distance forcing set of G if all vertices of the graph G will be turned black after limited applications of the color change rule. The 2-distance forcing number of G, denoted by Z2d (G), is the minimum of | Z2d | over all 2-distance forcing sets Z2d ? V (G). This manuscript is intended to study the 2-distance forcing number of some graphs. We find the exact value of the 2-distance forcing number of graphs such as the pineapple graph, gear graph, jelly fish graph, helm graph, sunflower graph, comet graph and the n-pan graph. 2020 the author(s).
creator: Premodkumar K.P.; Dominic C.; Chacko B.
source: Journal of Mathematical and Computational Science, Vol-10, No. 6, pp. 2233-2248.
publisher: SCIK Publishing Corporation
date: 2020-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 19275307
format: Online
language: English
type: Article
coverage: Premodkumar K.P., P.G. Department and Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India; Dominic C., Department of Mathematics, CHRIST(Deemed to be University), Karnataka, India; Chacko B., P.G. Department and Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*
description: The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we summarize key features in the core package as of the recent major release, version 5.0, and provide major updates on the Project. We then discuss supporting a broader ecosystem of interoperable packages, including connections with several astronomical observatories and missions. We also revisit the future outlook of the Astropy Project and the current status of Learn Astropy. We conclude by raising and discussing the current and future challenges facing the Project. 2022. The Author(s). Published by the American Astronomical Society.
creator: Price-Whelan A.M.; Lim P.L.; Earl N.; Starkman N.; Bradley L.; Shupe D.L.; Patil A.A.; Corrales L.; Brasseur C.E.; Nhe M.; Donath A.; Tollerud E.; Morris B.M.; Ginsburg A.; Vaher E.; Weaver B.A.; Tocknell J.; Jamieson W.; Van Kerkwijk M.H.; Robitaille T.P.; Merry B.; Bachetti M.; Gther H.M.; Aldcroft T.L.; Alvarado-Montes J.A.; Archibald A.M.; Bi A.; Bapat S.; Barentsen G.; Baz J.; Biswas M.; Boquien M.; Burke D.J.; Cara D.; Cara M.; Conroy K.E.; Conseil S.; Craig M.W.; Cross R.M.; Cruz K.L.; D'Eugenio F.; Dencheva N.; Devillepoix H.A.R.; Dietrich J.P.; Eigenbrot A.D.; Erben T.; Ferreira L.; Foreman-Mackey D.; Fox R.; Freij N.; Garg S.; Geda R.; Glattly L.; Gondhalekar Y.; Gordon K.D.; Grant D.; Greenfield P.; Groener A.M.; Guest S.; Gurovich S.; Handberg R.; Hart A.; Hatfield-Dodds Z.; Homeier D.; Hosseinzadeh G.; Jenness T.; Jones C.K.; Joseph P.; Kalmbach J.B.; Karamehmetoglu E.; Ka?uszy?ski M.; Kelley M.S.P.; Kern N.; Kerzendorf W.E.; Koch E.W.; Kulumani S.; Lee A.; Ly C.; Ma Z.; MacBride C.; Maljaars J.M.; Muna D.; Murphy N.A.; Norman H.; O'Steen R.; Oman K.A.; Pacifici C.; Pascual S.; Pascual-Granado J.; Patil R.R.; Perren G.I.; Pickering T.E.; Rastogi T.; Roulston B.R.; Ryan D.F.; Rykoff E.S.; Sabater J.; Sakurikar P.; Salgado J.; Sanghi A.; Saunders N.; Savchenko V.; Schwardt L.; Seifert-Eckert M.; Shih A.Y.; Jain A.S.; Shukla G.; Sick J.; Simpson C.; Singanamalla S.; Singer L.P.; Singhal J.; Sinha M.; Sipocz B.M.; Spitler L.R.; Stansby D.; Streicher O.; umak J.; Swinbank J.D.; Taranu D.S.; Tewary N.; Tremblay G.R.; De Val-Borro M.; Van Kooten S.J.; Vasovi? Z.; Verma S.; De Miranda Cardoso J.V.; Williams P.K.G.; Wilson T.J.; Winkel B.; Wood-Vasey W.M.; Xue R.; Yoachim P.; Zhang C.; Zonca A.
source: Astrophysical Journal, Vol-935, No. 2
publisher: Institute of Physics
date: 2022-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 0004637X
format: Online
language: English
type: Article
coverage: Price-Whelan A.M., Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, 10010, NY, United States; Lim P.L., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Earl N., Department of Astronomy, University of Illinois at Urbana-Champaign, 1002 W. Green Street, Urbana, 61801, IL, United States; Starkman N., David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada; Bradley L., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Shupe D.L., IPAC, MC 100-22, Caltech, 1200 E. California Boulevard, Pasadena, 91125, CA, United States; Patil A.A., David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada, Dunlap Institute for Astronomy & Astrophysics, University of Toronto, 50 St George Street, Toronto, ON M5S 3H4, Canada; Corrales L., University of Michigan, Department of Astronomy, 1085 S. University Avenue, Ann Arbor, 48109, MI, United States; Brasseur C.E., School of Physics and Astronomy, University of St Andrews, North Haugh, Street, Andrews, KY16 9SS, United Kingdom; Nhe M., Astroparticle Physics, TU Dortmund, Otto-Hahn-Stra 4a, Dortmund, D-44227, Germany; Donath A., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; Tollerud E., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Morris B.M., Center for Space and Habitability, University of Bern, Gesellschaftsstrasse 6, Bern, 3012, Switzerland; Ginsburg A., Department of Astronomy, University of Florida, P.O. Box 112055, Gainesville, FL, United States; Vaher E., Lund Observatory, Department of Astronomy and Theoretical Physics, Lund University, Box 43, Lund, SE-22100, Sweden; Weaver B.A., NSF's National Optical-Infrared Astronomy Research Laboratory, 950 North Cherry Ave…

A new optimal design and analysis method based on MADM for MEMS products development
subject: Design flow; MADM; MEMS; Microelectromechanical systems; Optimal design; Power sensor; RF MEMS
description: Abstract This paper presents an optimum design method to support the total micro-electromechanical systems (MEMS) product/device optimization, and its evaluation at the conceptual stage itself using the multiple attribute decision making method. In the traditional MEMS product development cycle, simulation and design using software tools are very important due to the knowledge limitation and complexity in design, fabrication, and packaging processes. The available tools are time consuming and relay on trial and error to achieve an optimum solution. The proposed method simplifies the relationship between parameters of design, fabrication, materials, packaging, and the performance of the MEMS product. The methodology is explained with the help of design flow diagram and time chart. A MEMS-based radio frequency (RF) power sensor is designed and the methodology is demonstrated. The proposed sensitivity analysis method is more effective and less time consuming than traditional techniques. Sensitivity analysis is carried out by varying the thickness of the signal conductor. The results of RF power sensor with insertion loss 0.428 dB, reflection loss 25.956 and voltage standing wave ratio of 1.106 at 1.5 GHz are reported. Springer-Verlag London Limited 2012.
creator: Prince A.A.; Jose I.; Agrawal V.P.
source: International Journal of Advanced Manufacturing Technology, Vol-63, No. 46000, pp. 851-861.
date: 2012-01-01
rights: Restricted Access
relation: ISSN: 14333015; CODEN: IJATE
format: Online
language: English
type: Article
coverage: Prince A.A., Electrical and Electronics Engineering Department, BITS-Pilani K.K. Birla Goa Campus, Zuarinagar, Goa 403726, India; Jose I., Electronics and Communication Engineering Department, Christ University, Bangalore 560060, India; Agrawal V.P., Department of Mechanical Engineering, Thapar University, Patiala 147004, India