344
20
11858
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IoT-Based automated dust bins and improved waste optimization techniques for Smart City
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Effective waste management systems are essential for maintaining sustainability, environmental health, and cleanliness in the age of smart cities. This chapter provides a thorough analysis of the combination of cutting-edge waste minimization techniques with the deployment of an internet of things-based automatic dust bin. The suggested system optimizes garbage collection, lowers operating costs, and has a less environmental effect by combining the creative use of proximity sensors, real-time data analytics, and smart bin technologies. Remote monitoring and administration are made possible by the linked ecosystem that is created by the integration with the internet of things (IoT). In order to further promote environmentally friendly urban life, the study also examines waste-to-energy technology, circular economy ideas, and sustainable waste management techniques. The results provide insightful information for scholars, decision-makers, and urban planners looking for ground-breaking waste management solutions for today's cities. 2024, IGI Global.
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Singh K.; Yadav M.; Yadav R.K.
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Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics, pp. 167-194.
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-6016-3.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6016-3.ch012</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196589005&doi=10.4018%2F979-8-3693-6016-3.ch012&partnerID=40&md5=9f3f4610b53b6647f84983b23829f55a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196589005&doi=10.4018%2f979-8-3693-6016-3.ch012&partnerID=40&md5=9f3f4610b53b6647f84983b23829f55a</a>
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ISBN: 979-836936018-7; 979-836936016-3
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Online
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English
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Book chapter
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Singh K., University Institute of Engineering and Technology, Maharshi Dayanand University, India; Yadav M., University Institute of Sciences, Chandigarh University, India; Yadav R.K., Christ University, India
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Articles
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IOT-BASED cyber security identification model through machine learning technique
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Cyber security; Internet of things; Machine learning algorithms; Meta-classifier methods; Repositories; Security
Description
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Manual vulnerability evaluation tools produce erroneous data and lead to difficult analytical thinking. Such security concerns are exacerbated by the variety, imperfection, and redundancies of modern security repositories. These problems were common traits of producers and public vulnerability disclosures, which make it more difficult to identify security flaws through direct analysis through the Internet of Things (IoT). Recent breakthroughs in Machine Learning (ML) methods promise new solutions to each of these infamous diversification and asymmetric information problems throughout the constantly increasing vulnerability reporting databases. Due to their varied methodologies, those procedures themselves display varying levels of performance. The authors provide a method for cognitive cybersecurity that enhances human cognitive capacity in two ways. To create trustworthy data sets, initially reconcile competing vulnerability reports and then pre-process advanced embedded indicators. This proposed methodology's full potential has yet to be fulfilled, both in terms of its execution and its significance for security evaluation in application software. The study shows that the recommended mental security methodology works better when addressing the above inadequacies and the constraints of variation among cybersecurity alert mechanisms. Intriguing trade-offs are presented by the experimental analysis of our program, in particular the ensemble method that detects tendencies of computational security defects on data sources. 2023 The Authors
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Lal B.; Ravichandran S.; Kavin R.; Anil Kumar N.; Bordoloi D.; Ganesh Kumar R.
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Measurement: Sensors, Vol-27
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Elsevier Ltd
Date
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2023-01-01
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<a href="https://doi.org/10.1016/j.measen.2023.100791" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2023.100791</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159550720&doi=10.1016%2Fj.measen.2023.100791&partnerID=40&md5=0b3e4993e4256d13a2f57747dc17b17c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159550720&doi=10.1016%2fj.measen.2023.100791&partnerID=40&md5=0b3e4993e4256d13a2f57747dc17b17c</a>
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All Open Access; Gold Open Access
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ISSN: 26659174
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Online
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English
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Lal B., Dept. of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist, A.P, India; Ravichandran S., Department of Computer Science and Engineering, School of Technology, GITAM University, Rudraram, Telangana, Hyderabad, 502 329, India; Kavin R., Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Tamil Nadu, Coimbatore, 641008, India; Anil Kumar N., Department of Electronics & Communication Engineering, School of Engineering & Technology, Mohan Babu University (Erst while Sree Vidyanikethan Engineering College), Andhra Pradesh, Tirupati, India; Bordoloi D., Computer Science and Engineering, Graphic Era Hill University, Dehradun, India, R/S, CSE, Graphic Era Deemed To Be University, Uttarakhand, Dehradun, 248002, India; Ganesh Kumar R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Kengeri Campus, Kumbalgodu, Bangalore, 560074, India
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Articles
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IoT-Based Response Time Analysis of Messages for Smart Autonomous Collision Avoidance System Using Controller Area Network
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Many accidents and serious problems occur on the road due to the rapid increase in traffic congestion in all sections of the country. Autonomous vehicles provide a solution to successfully and cost-effectively avoid this problem while minimizing user disruption. Currently, more engaging electromechanical elements with an analog interface are used to develop affordable automobiles for efficient and cost-effective operation for a smart driving platform with a semiautonomous automobile, strengthening the vehicle involvement of the driver while increasing safety. As a result, it takes longer for various car elements to respond, which causes more problems during message transmission. This project aims to create a Controller Area Network (CAN) for analyzing message response times by incorporating a few application nodes on the IoT platform, such as an antilock braking system, flexible cruise control, and seat belt section, for some real-time control system applications. These application nodes are car analytical parts that are linked to IoT modules to prevent collisions. An autonomous device for collision avoidance and obstacle detection in a vehicle can impact road accidents if the CAN protocol is implemented. 2022 Anil Kumar Biswal et al.
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Biswal A.K.; Singh D.; Pattanayak B.K.; Samanta D.; Banerjee A.; Seteikin A.Y.; Samusev I.G.
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Wireless Communications and Mobile Computing, Vol-2022
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Hindawi Limited
Date
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2022-01-01
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<a href="https://doi.org/10.1155/2022/1149842" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/1149842</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128682086&doi=10.1155%2F2022%2F1149842&partnerID=40&md5=cb195d35ecebe66ef6e5d2ae849d0e71" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128682086&doi=10.1155%2f2022%2f1149842&partnerID=40&md5=cb195d35ecebe66ef6e5d2ae849d0e71</a>
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ISSN: 15308669
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Online
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English
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Article
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Biswal A.K., Department of CSE, ITER, SOA Deemed to Be University, India; Singh D., Department of Ca, ITER, SOA Deemed to Be University, India; Pattanayak B.K., Department of CSE, ITER, SOA Deemed to Be University, India; Samanta D., Department of Computer Science, Christ University, India; Banerjee A., Physics Department, Bidhan Chandra College, Asansol, 713 303, India; Seteikin A.Y., Immanuel Kant Baltic Federal, University, Kaliningrad, 236000, Russian Federation, Amur State University, Blagoveshchensk, 675027, Russian Federation; Samusev I.G., Immanuel Kant Baltic Federal, University, Kaliningrad, 236000, Russian Federation, Amur State University, Blagoveshchensk, 675027, Russian Federation
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IoT-based smart alert system for drowsy driver detection
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In current years, drowsy driver detection is the most necessary procedure to prevent any road accidents, probably worldwide. The aim of this study was to construct a smart alert technique for building intelligent vehicles that can automatically avoid drowsy driver impairment. But drowsiness is a natural phenomenon in the human body that happens due to different factors. Hence, it is required to design a robust alert system to avoid the cause of the mishap. In this proposed paper, we address a drowsy driver alert system that has been developed using such a technique in which the Video Stream Processing (VSP) is analyzed by eye blink concept through an Eye Aspect Ratio (EAR) and Euclidean distance of the eye. Face landmark algorithm is also used as a proper way to eye detection. When the drivers fatigue is detected, the IoT module issues a warning message along with impact of collision and location information, thereby alerting with the help of a voice speaking through the Raspberry Pi monitoring system. Copyright 2021 Anil Kumar Biswal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Biswal A.K.; Singh D.; Pattanayak B.K.; Samanta D.; Yang M.-H.
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Wireless Communications and Mobile Computing, Vol-2021
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Hindawi Limited
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2021-01-01
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<a href="https://doi.org/10.1155/2021/6627217" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2021/6627217</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102518105&doi=10.1155%2F2021%2F6627217&partnerID=40&md5=5472c79a7eda55f40e4dc6fbdb9325e3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102518105&doi=10.1155%2f2021%2f6627217&partnerID=40&md5=5472c79a7eda55f40e4dc6fbdb9325e3</a>
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All Open Access; Gold Open Access
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ISSN: 15308669
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Online
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English
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Article
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Biswal A.K., Department of CSE, ITER, SOA Deemed to be University, India; Singh D., Department of CSIT, ITER, SOA Deemed to be University, India; Pattanayak B.K., Department of CSE, ITER, SOA Deemed to be University, India; Samanta D., Department of Computer Science, CHRIST Deemed to be University, India; Yang M.-H., Department of Computer Science and Info. Engineering, National Central University, Taiwan
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IoT-based smart healthcare video surveillance system using edge computing
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Ambient assistive living; Edge computing; Elderly people fall detection; Healthcare application; Smart video surveillance
Description
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Managing distributed smart surveillance system is identified as a major challenging issue due to its comprehensive aggregation and analysis of video information on the cloud. In smart healthcare applications, remote patient and elderly people monitoring require a robust response and alarm alerts from surveillance systems within the available bandwidth. In order to make a robust video surveillance system, there is a need for fast response and fast data analytics among connected devices deployed in a real-time cloud environment. Therefore, the proposed research work introduces the Cloud-based Object Tracking and Behavior Identification System (COTBIS) that can incorporate the edge computing capability framework in the gateway level. It is an emerging research area of the Internet of Things (IoT) that can bring robustness and intelligence in distributed video surveillance systems by minimizing network bandwidth and response time between wireless cameras and cloud servers. Further improvements are made by incorporating background subtraction and deep convolution neural network algorithms on moving objects to detect and classify abnormal falling activity monitoring using rank polling. Therefore, the proposed IoT-based smart healthcare video surveillance system using edge computing reduces the network bandwidth and response time and maximizes the fall behavior prediction accuracy significantly comparing to existing cloud-based video surveillance systems. 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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Rajavel R.; Ravichandran S.K.; Harimoorthy K.; Nagappan P.; Gobichettipalayam K.R.
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Journal of Ambient Intelligence and Humanized Computing, Vol-13, No. 6, pp. 3195-3207.
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Springer Science and Business Media Deutschland GmbH
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2022-01-01
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<a href="https://doi.org/10.1007/s12652-021-03157-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12652-021-03157-1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103277065&doi=10.1007%2Fs12652-021-03157-1&partnerID=40&md5=9a05db2020151d770b1dcc15e1a6fa8d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103277065&doi=10.1007%2fs12652-021-03157-1&partnerID=40&md5=9a05db2020151d770b1dcc15e1a6fa8d</a>
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ISSN: 18685137
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English
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Article
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Rajavel R., Department of CSE, Galgotias University, Uttar Pradesh, Greater Noida, India; Ravichandran S.K., Department of CSE, Christ University, Bangalore, India; Harimoorthy K., Department of CSE, Christ University, Bangalore, India; Nagappan P., Department of CSE, Galgotias University, Uttar Pradesh, Greater Noida, India; Gobichettipalayam K.R., Wireless Networks, Springer Asia Ltd, Chennai, India
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Conference Papers
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IoT-Based Smart Indoor Navigation System with Voice Assistance for Museums
Subject
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Bluetooth low energy; Internet of Things; Navigation system; Smart indoor systems
Description
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In the current era of smart heterogenous devices, the surrounding environment too needs to be smarter to match the gravity of such devices. Such advanced environment can be built with the technology called Internet of Things (IoT). Due to the presence of such vivid thing devices in the Internet of Things (IoT) environment, the task of automatically predicting the end users desires can play an important role when it comes to match the pace of modern society with too much diverse aspects. Since last decade, people have deviated their attention towards Indian ancient culture and Museums are eye catching attraction where our ancient cultural heritage exist. To improvise the slow pace growth of the tourism sector, there is the crucial requirement of technological improvement especially due to the restrictions on installations of external hardware within the close proximity. One prominent way of improving tourists experience at museums is to renovate existing museums with IoT-based smart devices which is programmed such a way to automatically navigate the user indoor and briefs the associated information about artwork without any user intervention. In this paper, we propose an IoT-based smart indoor navigation system along with voice assistance which can enhance the tourists experience in a museum. In addition, the proposed design also delivers the very personalized cultural contents related to the visited artworks. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Manju; Singh S.; Kumar S.
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Lecture Notes in Networks and Systems, Vol-967 LNNS, pp. 449-457.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-2053-8_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2053-8_34</a>
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ISSN: 23673370; ISBN: 978-981972052-1
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Online
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English
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Conference paper
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Manju, Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India; Singh S., Department of Computer Science and Engineering, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, 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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IoT-based traffic prediction and traffic signal control system for smart city
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Improved beetle swarm optimization (IBSO); Intel 80,286 microprocessor; Internet of Things (IoT); Optimized weight elman neural network (OWENN); Smart city
Description
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Because of the population increasing so high, and traffic density remaining the same, traffic prediction has become a great challenge today. Creating a higher degree of communication in automobiles results in the time wastage, fuel wastage, environmental damage, and even death caused by citizens being trapped in the middle of traffic. Only a few researchers work in traffic congestion prediction and control systems, but it may provide less accuracy. So, this paper proposed an efficient IoT-based traffic prediction using OWENN algorithm and traffic signal control system using Intel 80,286 microprocessor for a smart city. The proposed system consists of 5 phases, namely IoT data collection, feature extraction, classification, optimized traffic IoT values, and traffic signal control system. Initially, the IoT traffic data are collected from the dataset. After that, traffic, weather, and direction information are extracted, and these extracted features are given as input to the OWENN classifier, which classifies which place has more traffic. Suppose one direction of the place has more traffic, it optimizes the IoT values by using IBSO, and finally, the traffic is controlled by using Intel 80,286 microprocessor. An efficient OWENN algorithm for traffic prediction and traffic signal control using a Intel 80,286 microprocessor for a smart city. After extracting the features, the classification is performed in this step. Hereabout, the classification is done by using the optimized weight Elman neural network (OWENN) algorithm that classifies which places have more traffic. OWENN attains 98.23% accuracy than existing model also its achieved 96.69% F-score than existing model. The experimental results show that the proposed system outperforms state-of-the-art methods. 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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Neelakandan S.; Berlin M.A.; Tripathi S.; Devi V.B.; Bhardwaj I.; Arulkumar N.
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Soft Computing, Vol-25, No. 18, pp. 12241-12248.
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Springer Science and Business Media Deutschland GmbH
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2021-01-01
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<a href="https://doi.org/10.1007/s00500-021-05896-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00500-021-05896-x</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107334797&doi=10.1007%2Fs00500-021-05896-x&partnerID=40&md5=204cec12651367d9360b723b4f87c7c8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107334797&doi=10.1007%2fs00500-021-05896-x&partnerID=40&md5=204cec12651367d9360b723b4f87c7c8</a>
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ISSN: 14327643
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Online
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English
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Article
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Neelakandan S., Department of IT, Jeppiaar Institute of Technology, Chennai, India; Berlin M.A., Department of CSE, R.M.D Engineering College, Chennai, India; Tripathi S., Department of Computer Science & Engineering, Birla Institute of Applied Sciences, Bhimtal, India; Devi V.B., Department of Information Technology, Sri Sai Ram Institute of Technology, Chennai, India; Bhardwaj I., Galgotias University, Greater Noida, India; Arulkumar N., Department of CS, CHRIST (Deemed To Be University), Banglore, India
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Conference Papers
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IoT-Driven Credit Scoring Models: Improving Loan Decision Making in Banking
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Banking analytics; financial inclusion; IoT data in lending; IoT-driven credit scoring; Loan approval optimization; Loan decision-making; Risk assessment
Description
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By the game-changing possibilities of credit scoring models driven by the Internet of Things, this hopes to shed light on how the banking sector may enhance its loan decision-making procedures. Financial organisations are putting more and more faith in Internet of Things technologies to improve their risk assessment and lending processes. These IoT-driven models provide a more accurate and thorough assessment of creditworthiness by including real-time and detailed data on borrowers' activities, spending habits, and asset utilisation. This research examines the practicality and accuracy of Internet of Things (IoT) credit scoring by comparing it to conventional methods, looking closely at case researches, and analysing empirical data. The findings shed light on potential ways to enhance the loan approval and risk prediction procedures while also addressing concerns and considerations related to data privacy, security, and regulatory compliance. It is possible that decision-making frameworks could be altered by IoT-driven credit scoring algorithms, which could lead to a more inclusive and informed lending atmosphere. The contributes to the growing area of banking credit evaluation by showing that these models have promise. 2024 IEEE.
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Thirumagal P.G.; Das T.; Das S.; Vinit Sikka C.S.; Amit Kumar C.S.; Kusuma T.
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5th International Conference on Recent Trends in Computer Science and Technology, ICRTCST 2024 - Proceedings, pp. 193-197.
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/ICRTCST61793.2024.10578365" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRTCST61793.2024.10578365</a>
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ISBN: 979-835035137-8
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Online
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English
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Conference paper
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Thirumagal P.G., VISTAS, Department of MBA, Tamil Nadu, Chennai, India; Das T., Christ University, Department of School of Business Management, Delhi NCR Campus, UP, Ghaziabad, India; Das S., Christ University, Department of School of Commerce, Finance & Accountancy, UP, Ghaziabad, India; Vinit Sikka C.S., School of Leadership and Management, Manav Rachna International Institute of Research and Studies, Department of UG Management Studies, Haryana, Faridabad, India; Amit Kumar C.S., School of Leadership and Management, Manav Rachna International Institute of Research and Studies, Department of UG Management Studies, Haryana, Faridabad, India; Kusuma T., Sree Vidyanikethan Engineering College, Department of Commerce, Andhra Pradesh, Tirupati, India
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Book Chapter
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IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements
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COVID-19; Health monitoring systems; IoT-enabled analysis; Measurements; Sensors; Temperature-pulse rate-oxygen
Description
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The COVID-19 pandemic has forced unparalleled transformation on healthcare systems around the world, demanding new and improved approaches for effective monitoring and diagnosis. In this context, we present a study titled IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements. The global impact of COVID-19, with millions of confirmed cases and fatalities, underscores the urgency of finding efficient monitoring solutions. To address this crisis, IoT-Enabled Health Monitoring Systems have emerged as a promising tool for remote patient monitoring and infection risk reduction. These systems leverage sensors to collect real-time data on the temperature, pulse rate, and oxygen saturation levels of the subject. The integration of a mobile application enables immediate access to this critical health information. In this study, we explore the use of IoT systems, which have demonstrated accuracy comparable to other devices on the market. By leveraging these technologies, we aim to provide healthcare professionals with valuable insights into patients health status, aiding in early detection, monitoring, and timely intervention. Our research contributes to the efforts to battle the COVID-19 pandemic by highlighting the potential of IoT-enabled monitoring systems in enhancing healthcare delivery, reducing infection risks, and ultimately saving lives. 2024 Scrivener Publishing LLC.
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John J.; Kumar K.P.; Murthy H.
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Internet of Things in Bioelectronics: Emerging Technologies and Applications, pp. 297-310.
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wiley
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2024-01-01
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<a href="https://doi.org/10.1002/9781394241903.ch14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394241903.ch14</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208311870&doi=10.1002%2F9781394241903.ch14&partnerID=40&md5=d1aab72927d0255ee294912ae7e89722" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208311870&doi=10.1002%2f9781394241903.ch14&partnerID=40&md5=d1aab72927d0255ee294912ae7e89722</a>
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ISBN: 978-139424190-3; 978-139424187-3
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Online
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English
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Book chapter
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John J., Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Kumar K.P., Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Murthy H., Electronics and Communication Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India
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Conference Papers
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IOT-Enabled Supply Chain Management for Increased Efficiency
Subject
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Artificial intelligence; Big Data; IoT; Supply chain management; Technology; Traditional supply chain
Description
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Deep learning methods have demonstrated potential Supply chain is a set or group of people as well as companies responsible for producing goods and getting it to their consumers. The producers of the raw materials are the first links in the chain, and the vehicle that delivers the finished goods to the client is the last. Lower costs and higher productivity are the benefits of an efficient supply network, which emphasizes the importance of management of supply chain. The internet of things, or IoT, is a network of mechanical and digital technology that can communicate with one another and send data without the need for human contact. Smart items were included into the conventional supply chain system to increase intelligence, automation potential, and intelligent decision-making. The existing supply chain system is offering previously unforeseen chances to increase efficiency and reduce cost. The aim and motive of our research is to analyze the methods of supply chain management where the main elements of IoT in management of supply chain will be highlighted. 2024 IEEE.
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Nanjundan P.; James B.V.; George J.P.; Tiwari A.
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TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/TQCEBT59414.2024.10545070" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545070</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204479192&doi=10.1109%2FTQCEBT59414.2024.10545070&partnerID=40&md5=a96e756cb9fdf771f738697e811e2102" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204479192&doi=10.1109%2fTQCEBT59414.2024.10545070&partnerID=40&md5=a96e756cb9fdf771f738697e811e2102</a>
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ISBN: 979-835038427-7
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Online
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English
Type
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Conference paper
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Nanjundan P., Christ (Deemed to Be University), Department of Data Science, India; James B.V., Christ (Deemed to Be University), Department of Commerce, India; George J.P., Christ (Deemed to Be University), Department of Data Science, India; Tiwari A., Christ (Deemed to Be University), Department of Commerce, India
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Conference Papers
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IoT-Powered Innovations in Renewable Energy Generation and Electric Drive
Description
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This review explores the growing impact of the Internet of Things (IoT) on the energy sector, particularly in the context of renewable energy generation and electric drive systems. IoT technology has rapidly expanded into various sectors, including energy, smart cities, and industrial automation, revolutionizing monitoring, control, and management processes. In this paper, we examine the existing literature on IoT applications in energy systems, with a focus on smart grids. We also delve into the core IoT technologies, such as cloud computing and data analysis platforms, that underpin these innovations. Additionally, we address challenges associated with IoT implementation in the energy sector, notably privacy and security concerns, and suggest potential solutions, such as blockchain technology. Our findings provide valuable insights for energy policy-makers, economists, and managers, offering a comprehensive overview of how IoT can optimize energy systems. Furthermore, we highlight IoT's expanding role in renewable energy and electric drive applications, enhancing performance monitoring, management, and energy savings while also advancing research and education in engineering. The Authors, published by EDP Sciences, 2024.
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Mohammed Al-Nafei A.A.; Sharanya M.; Saxena A.; Janakiraman V.; Gehlot A.; Maheshwari A.
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E3S Web of Conferences, Vol-540
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EDP Sciences
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2024-01-01
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<a href="https://doi.org/10.1051/e3sconf/202454002018" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202454002018</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198117223&doi=10.1051%2Fe3sconf%2F202454002018&partnerID=40&md5=4d8da1c972b938f3b583018382dc1245" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198117223&doi=10.1051%2fe3sconf%2f202454002018&partnerID=40&md5=4d8da1c972b938f3b583018382dc1245</a>
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All Open Access; Gold Open Access
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ISSN: 25550403
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Online
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English
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Conference paper
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Mohammed Al-Nafei A.A., Department of Nursing, Al-Zahrawi University College, Karbala, Iraq; Sharanya M., School of Business and Management, CHRIST(Deemed to Be University) Bannerghatta Road Campus, Bangalore, India; Saxena A., Department of Electronics and Communication Engineering, IES College of Technology, IES University, Madhya Pradesh, Bhopal, 462044, India; Janakiraman V., Department of Mech, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 127, India; Gehlot A., Department of Electronics and Communication Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India; Maheshwari A., Department of BCA, K.S.Rangasamy College of Arts and Science (Autonomous), Tiruchengode, India
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Title
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Book Chapter
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Faculty Publications- Book Chapter
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Title
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IoVST: Internet of vehicles and smart traffic - Architecture, applications, and challenges
Description
An account of the resource
The internet of things (IoT) is the network of sensors, devices, processors, and software, enabling connection, communication, and data transfer between devices. IoT is able to collect and analyze large amounts of data which can then be used to automate daily tasks in various fields. IoT holds the potential to revolutionise and create many opportunities in multiple industries like smart cities, smart transport, etc. Autonomous vehicles are smart vehicles that are able to navigate and move around on their own on a well-planned road. 2023, IGI Global.
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Rajamohan K.; Rangasamy S.; Pinto N.A.; Manoj B.E.; Mukherjee D.; Shukla J.
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Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries, pp. 292-315.
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IGI Global
Date
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2023-01-01
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<a href="https://doi.org/10.4018/978-1-6684-8785-3.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-8785-3.ch015</a>
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ISBN: 978-166848787-7; 1668487853; 978-166848785-3
Format
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Online
Language
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English
Type
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Book chapter
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The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Rajamohan K., CHRIST University (Deemed), India; Rangasamy S., CHRIST University (Deemed), India; Pinto N.A., CHRIST University (Deemed), India; Manoj B.E., CHRIST University (Deemed), India; Mukherjee D., CHRIST University (Deemed), India; Shukla J., CHRIST University (Deemed), India
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Book Chapter
Book Chapter
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Title
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IPR in Stem Cell Research, Therapy, and Regenerative Medicine
Description
An account of the resource
According to the World Trade Organization, intellectual property rights are rights given to persons over the creations of their minds. They usually give the creator an exclusive right over the use of his or her creation for a certain period. There is a critical need for fresh developments in the existing medical diagnostic techniques, therapy, pharmaceutical medications, and research, in a world where such a sizable number of people are afflicted with various ailments, some of which are fatal and still incurable. Pharmaceutical companies are developing novel and cutting-edge ways to treat diseases at an increasing rate. The major pharmaceutical corporations in the world, including Pfizer, Miltenyi, Biotec, AstraZeneca, and Mesoblast Limited are pursuing research in the area of stem cell and regenerative medicine. Regenerative medicine, stem cell research, and therapy are currently regarded as groundbreaking developments in the medical sciences. Understanding their intellectual property rights and the legal means through which these businesses can safeguard their discoveries becomes crucial. This paper will analyze the meaning of stem cell and regenerative medicines, the eligibility of IPR in Stem cell research under the Indian Patents Act, of 1970 and the morality and public issues related to the same. 2024 Taylor & Francis.
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Doyil D.; Sharma M.
Source
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Intellectual Property Rights and Competition Law in India, pp. 30-41.
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Taylor and Francis
Date
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2024-01-01
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<a href="https://doi.org/10.4324/9781003471523-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003471523-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202115579&doi=10.4324%2F9781003471523-3&partnerID=40&md5=99179b03d4739ba8756dcbddf6c1e408" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202115579&doi=10.4324%2f9781003471523-3&partnerID=40&md5=99179b03d4739ba8756dcbddf6c1e408</a>
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ISBN: 978-104011327-1; 978-103273325-8
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Online
Language
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English
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Book chapter
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Doyil D., CHRIST (Deemed to be University), Delhi-NCR, India; Sharma M., School of Law, Justice, and Governance, Gautam Buddha University, India
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Articles
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IPWM Based IBMSC DC-AC Converter Using Solar Power for Wide Voltage Conversion System; [Convertisseur DC-AC IBMSC bassur l'IPWM et utilisant l'ergie solaire pour un syste de conversion large tension]
Description
An account of the resource
This article proposes isolated bidirectional micro dc-ac single phase controlled (IBMSC) converter based on in-phase-voltage pulsewidth modulation (IPWM). This resonant IPWM converter, ratio of voltage conversion can be controlled from 0 to ?. So, this converter is highly referred for huge range voltage conversion. However, voltage conversion ratio determines power transfer direction and duty ratio. Power flow direction and duty cycle value can be varying smoothly, so it is suitable for dc-ac bidirectional power conversion application. Inverter mode and also rectifier mode are possible from bidirectional operation, which is controlled by a unified current controller. The proposed solution can achieve smooth switching grid operation with high efficiency. Working principle, design procedure, control strategy, and characteristics of the proposed converter are implemented with a prototype model of power rating 500 W with a voltage range of 20-50 V to test the ability of withstanding. Performance, feasibility, and effectiveness of the proposed converter are tested with this hardware test-bench model. 2022 IEEE.
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Suresh K.; Parimalasundar E.
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IEEE Canadian Journal of Electrical and Computer Engineering, Vol-45, No. 4, pp. 394-400.
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IEEE Canada
Date
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2022-01-01
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<a href="https://doi.org/10.1109/ICJECE.2022.3207873" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICJECE.2022.3207873</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152801358&doi=10.1109%2FICJECE.2022.3207873&partnerID=40&md5=6ed32111baa1638c718bb6bb7141e49b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152801358&doi=10.1109%2fICJECE.2022.3207873&partnerID=40&md5=6ed32111baa1638c718bb6bb7141e49b</a>
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ISSN: 26941783
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Online
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English
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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
Suresh K., The Department of EEE, Christ (deemed to be university), Bengaluru, 517102, India; Parimalasundar E., The Department of EEE, Sree Vidyanikethan Engineering College, Tirupati, 517102, India
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Conference Papers
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IRIS Data Classification using Genetic Algorithm Tuned Random Forest Classification
Subject
The topic of the resource
Random Forest; Randomized CV
Description
An account of the resource
Optimising hyper-parameters in Random Forest is a time-consuming undertaking for several academics as well as professionals. To acquire greater performance hyper-parameters, specialists should explicitly customize a series of hyper-parameter settings. The best outcomes from this manual setting are then modelled and implemented in a random forest algorithm. Several datasets, on the other side, need various prototypes or hyper-parameter combinations, which may be time-consuming. To solve this, we offered various machine learning models and classifiers for correctly optimising hyper-parameters. Both genetic algorithm-based random forest and randomised CV random forest were assessed on performance measures such as sensitivity, accuracy, specificity, and F1-score. Finally, when compared to randomised CV random forest, our suggested model genetic algorithm-based random forest delivers more incredible accuracy. 2022 IEEE.
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Athithan S.; Bhola A.; Mittal S.; Sambandam R.K.; Thaiyalnayaki S.; Swapna I.
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Proceedings of International Conference on Technological Advancements in Computational Sciences, ICTACS 2022, pp. 321-326.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
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<a href="https://doi.org/10.1109/ICTACS56270.2022.9987868" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTACS56270.2022.9987868</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146369274&doi=10.1109%2FICTACS56270.2022.9987868&partnerID=40&md5=9e6c7028299fb05a269eec5cc7b8f2c5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146369274&doi=10.1109%2fICTACS56270.2022.9987868&partnerID=40&md5=9e6c7028299fb05a269eec5cc7b8f2c5</a>
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ISBN: 978-166547657-7
Format
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Online
Language
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English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Athithan S., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, India; Bhola A., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, India; Mittal S., Rd Engineering College, Department of Computer Science and Engineering, U.P, Ghaziabad, India; Sambandam R.K., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Thaiyalnayaki S., Bharat Institute of Higher Education and Research, Department of Computer Science and Engineering, Chennai, India; Swapna I., Princeton Institute of Engineering and Tech for Women, Department of CSE, Telangana, India
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Articles
Article
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Dublin Core
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Title
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Iron pulsing, a cost effective and affordable seed invigoration technique for iron bio-fortification and nutritional enrichment of rice grains
Subject
The topic of the resource
Bio-fortification; Hidden hunger; Iron; Phytate; Rice
Description
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Rice being a major staple food for millions of people, it has been one of the major targets for bio-fortification and iron bio-fortification in rice has been in prime focus to address global micronutrient malnutrition. Commonly practiced methods for obtaining Fe biofortified rice includes soil amendments and foliar spray with iron salts, breeding and development of transgenic rice varieties with Fe-enriched grain are associated with impediments like high cost, labor intensiveness, sub-optimal outcome and approval for commercialization respectively. Iron pulsing technique has reportedly enhanced the carbon and nitrogen assimilation in rice seedlings, which has been translated in yield. Based on the previous findings, in the present study, we have undermined the efficacy of iron pulsing, in improving the iron content and nutritional status of rice kernel obtained from pulsed plants. The present study documents that kernel of seeds obtained from iron pulsed plants have a higher amounts of iron, carbohydrate, protein, lipid, vitamins, nutrient and anti-oxidants than that of non-treated ones. The iron localization studies revealed that iron was mostly present in the endosperm and embryo. Besides, the ferritin expression levels also validated the fact that, the treated grains have accumulated more iron. Thus, iron-pulsing can serve as a novel and propitious sustainable agricultural innovation for iron bio-fortification and improvisation of the overall nutritional value of the rice grains that is affordable, user and consumer friendly in years to come. 2023, The Author(s), under exclusive licence to Springer Nature B.V.
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Dey S.; Paul S.; Nag A.; Sengupta R.; Gopal G.; Jose J.; Xavier J.; Mukherjee A.; Kundu R.
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Plant Growth Regulation, Vol-100, No. 2, pp. 545-559.
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Springer Science and Business Media B.V.
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2023-01-01
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<a href="https://doi.org/10.1007/s10725-022-00957-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10725-022-00957-z</a>
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ISSN: 1676903; CODEN: PGRED
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Online
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English
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Article
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Dey S., Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, India; Paul S., Institute of Health Sciences, Presidency University, (2nd Campus), Newtown, Kolkata, 700156, India; Nag A., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Sengupta R., Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, India; Gopal G., Centre for Nano Biotechnology, VIT University, Tamil Nadu, Vellore, 632014, India; Jose J., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Xavier J., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Mukherjee A., Centre for Nano Biotechnology, VIT University, Tamil Nadu, Vellore, 632014, India; Kundu R., Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, India
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Iron-pulsing, a novel seed invigoration technique to enhance crop yield in rice: A journey from lab to field aiming towards sustainable agriculture
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Germination; Iron-pulsing; Rice; Seed invigoration; Sustainable agriculture; Yield
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Bulk fertilizer application is one of the easiest means of improving yield of crops however it comes with several environmental impediments and consumer health menace. In the wake of this situation, sustainable agricultural practices stand as pertinent agronomic tool to increase yield and ensure sufficient food supply from farm to fork. In the present study, efficacy of iron-pulsing in improving the rice yield has been elucidated. This technique involves seed treatment with different concentrations (2.5, 5 and 10 mM) of iron salts (FeCl3 and FeSO4) during germination. FeCl3 or FeSO4 was used to treat the sets and depending on the concentration of the salts, the sets were named as C2.5, C5, C10 and S2.5, S5, S10 (where C and S stands for FeCl3 and FeSO4 respectively and the numbers succeeding them denotes the concentration of salt in mM). Our investigation identified 72 h of treatment as ideal duration for iron-pulsing. At this time point, the seedling emergence attributes and activities of ?-amylase and protease increased. The relative water uptake of the seeds also increased through upregulation of aquaporin expression. The treatment efficiently maintained the ROS balance with the aid of antioxidant enzymes and increased the iron content within the treated seeds. After transplantation in field, photosynthetic rate and chlorophyll content enhanced in the treated plants. Finally, the post-harvest agro-morphological traits (represented through panicle morphology, 1000 seed weight, harvest index) and yield showed significant improvement with treatment. Sets C5 and S5 showed optimum efficiency in terms of yield improvement. To our best knowledge, this study is the first report deciphering the efficacy of iron-pulsing as a safe, cost effective and promising technique to escalate the yield of rice crops without incurring an environmental cost. Thus, iron-pulsing is expected to serve as a potential tool to address global food security in years to come. 2021 Elsevier B.V.
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Dey S.; Paul S.; Nag A.; Banerjee R.; Gopal G.; Mukherjee A.; Kundu R.
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Science of the Total Environment, Vol-769
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Elsevier B.V.
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2021-01-01
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<a href="https://doi.org/10.1016/j.scitotenv.2020.144671" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2020.144671</a>
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ISSN: 489697; PubMed ID: 33482554; CODEN: STEVA
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English
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Article
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Dey S., Centre of Advance Study, Department of Botany, University of Calcutta, Kolkata, 700019, India; Paul S., School of Biotechnology, Presidency University (2nd Campus), Kolkata, 700073, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India; Banerjee R., Centre of Advance Study, Department of Botany, University of Calcutta, Kolkata, 700019, India; Gopal G., Centre for Nano Biotechnology, VIT University, Vellore, 632014, Tamil Nadu, India; Mukherjee A., Centre for Nano Biotechnology, VIT University, Vellore, 632014, Tamil Nadu, India; Kundu R., Centre of Advance Study, Department of Botany, University of Calcutta, Kolkata, 700019, India
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Conference Papers
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Irreducible tensor approach to study ? + d ? d + ? 0
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The study of photoproduction of mesons plays an important role in understanding the properties of strong interactions. Pion photoproduction on deuterons has been studied theoretically for several decades. At the VEPP - 3 storage rings, tensor analysing powers in ? + d ? d + ?0 have recently been measured. In light of these advances, we suggest adopting an irreducible tensor technique to explore the reaction ? + d ? d + ?0 at close to threshold energies. Our method, which is model-independent, works well for predictions regarding spin observables. By describing the differential cross section in terms of multipole amplitudes, the angular dependence of the cross section will be studied. 2023 Author(s).
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Shastri V.; Aswathi V.; Shilpashree S.P.
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AIP Conference Proceedings, Vol-2852, No. 1
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American Institute of Physics Inc.
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2023-01-01
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<a href="https://doi.org/10.1063/5.0164555" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0164555</a>
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ISSN: 0094243X
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English
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Conference paper
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Shastri V., School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India; Aswathi V., School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India; Shilpashree S.P., School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India
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https://archives.christuniversity.in/files/original/9deaff8b3f8f2e891c9d897751419553.pdf
118f511ca1eb0e5f1986d536359ebd0a
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MPHIL
Mphil
Mphil Thesis
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IRRELEVANCE OF ITEM NUMBERS IN BOLLYWOOD MOVIES TODAY- AFFECTING THE PORTRAYAL OF ITEM GIRLS
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Silpa Sarmmah Suravi
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2012
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Media Studies
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The research paper was aimed to look into the portrayal of women in media especially those who do item numbers. The paper also looked into the matter that how due to the lack of relevance of item numbers in movies today, the portrayal is negative. Whether this in turn has led to a negative stereotypical representation of women in general was also a concern of the study. The researcher focussed on this matter as she is strongly against any kind of stereotypical representations. As a media student she wanted to inform people about the rights and wrongs in the society and how this leads to framing of stereotypes which is often regarded derogatory. The research was done using both primary and secondary sources. Primary data collection included questionnaire method to general audience of sample size of 100 and a comparative analysis will be done. An extensive study was done of secondary sources too including books, journals, movies, short videos, internet and newspapers. The study revealed that item numbers have definietely lost its relevance in the movies and that has led to the negative portrayal of item girls. There were other reasons also found have an impact on the audiences?? mind which in turn influences his thinking towards the item girls, this was found by comprehending the study with Cultivation theory by Gerbner.
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Irreversibility analysis of radiative heat transport of Williamson material over a lubricated surface with viscous heating and internal heat source
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convective boundary condition; entropy production; lubricated surface; thermal radiation; viscous dissipation; Williamson fluid
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Thecurrent research explores the importance of surface lubrication and convective boundary conditions in the flow of non-Newtonian Williamson material. Rosseland radiative heat flux and viscous heating are also considered. The phenomenon of the generation or absorption of internal heat is studied. The conservation laws of momentum, mass, and energy are used to model the problem with suitable boundary conditions. With the help of appropriate transformations and the finite difference method, highly nonlinear equations of governance are solved. The influence of key parameters on Bejan number, velocity, entropy production, temperature profiles are analyzed by parametric analysis. It was found that the entropy generation rate improves due to the presence of the Rosseland radiative heat flux and the convective boundary on the lubricated surface. The sliding condition on the lubricated surface has lengthened the structure of the velocity boundary layer, while this trend is opposite to the thermal field. The dissipation due to the viscous forces of the Williamson material improves the production of entropy. 2021 Wiley Periodicals LLC
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Srinivas Reddy C.; Ali F.; Mahanthesh B.; Naikoti K.
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Heat Transfer, Vol-51, No. 1, pp. 395-412.
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John Wiley and Sons Inc
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2022-01-01
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<a href="https://doi.org/10.1002/htj.22312" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/htj.22312</a>
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ISSN: 26884534
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Online
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English
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Article
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Srinivas Reddy C., Department of Mathematics, Government City College, Hyderabad, Telangana, India; Ali F., Department of Mathematical Sciences, Federal Urdu University of Arts, Sciences & Technology, Karachi, Pakistan; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Naikoti K., Department of Mathematics, Osmania University, Hyderabad, Telangana, India