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                <text>Venkataiah, V.; Basha, K. H. Shabbeer; Babu, R. Anand; Vali, Dudekula Khasim; Benarji, Surendra Nadh Bejjam; Bondalapati, Swarupa Rani</text>
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                <text>Venkataiah V., Department of Computer Science and Engineering, CMR College of Engineering &amp;amp; Technology, Telangana, Hyderabad, India; Basha K.H.S., Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India; Babu R.A., Department of Artificial Intelligence and Machine Learning, Panimalar Engineering College, Chennai, India; Vali D.K., School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India; Benarji S.N.B., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India; Bondalapati S.R., Department of Electrical and Electronics Engineering, Siddhartha Academy of Higher Education, Deemed to be University, Vijayawada-520007, Andhra Pradesh, India</text>
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                <text>Agriculture faces the dual challenge of meeting global food demand while conserving scarce water resources under climate change. Conventional irrigation systems often result in water wastage and high manual intervention. This study proposes a Cloud- and IoT-driven smart irrigation framework that integrates Wireless Sensor Networks (WSNs), an NI CompactRIO controller, renewable energy, and real-time weather forecasting services. The system collects and analyzes heterogeneous data streams (soil moisture, humidity, temperature, and water levels) to dynamically control irrigation schedules. Experimental validation on a prototype farm in Morocco demonstrates that the proposed system reduces weekly water consumption by 26, lowers irrigation events from 10 to 6, eliminates manual interventions, and achieves 13.6 energy savings compared with traditional methods. The integration of predictive weather data prevents over-irrigation during rainfall, while cloud-based analytics enhance scalability and monitoring. These results highlight the system's potential for resource-efficient, autonomous, and sustainable agriculture, particularly in water-scarce regions. Future work will focus on extending the system with LoRa-based sensor networks and machine learning-based solar energy forecasting to further improve adaptability and scalability.  2026, International Association of Engineers. All right reserved.</text>
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                <text>Bioparametric Investigation of Mutant Bacillus subtilis MTCC 2414 Extracellular Laccase Production under Solid State Fermentation</text>
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                <text>Venkatanagaraju E.; Chittaranjan D.; Akihito C.</text>
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                <text>Current Trends in Biotechnology and Pharmacy, Vol-12, No. 1, pp. 65-74.</text>
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                <text>Venkatanagaraju E., Department of Life Sciences, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India; Chittaranjan D., Department of Life Sciences, Garden City University, 16thKM, Old Madras Road, Karnataka, Bengaluru, 560049, India; Akihito C., Department of Life Sciences, Garden City University, 16thKM, Old Madras Road, Karnataka, Bengaluru, 560049, India</text>
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                <text>Patent Number: 202041002544, Applicant: Erumalla Venkatanagaraju. Rapid urbanization and increase in population have evoked tremendous attention for biofuels production to combat shortage of fuels, environmental concerns, foreign exchange savings and socioeconomic issues. In recent years bioethanol production from agro-industrial wastes acquired a prominent place to fulfil the gap between production and demand.</text>
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                <text>Effective proactive routing protocol using smart nodes system</text>
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                <text>Data monitoring; Degree restricted trees; Wireless sensor network</text>
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                <text>Small Power Restricted Unit (PRU) platform known as the Wireless Sensor Network (WSN) to monitor a Large Region of Interest (ROI) and send data to the Base Station (BS). Accurately capturing the ROI and communicating observed information to the BS over the longest period is indeed the main problem facing WSN. Despite the latest introduction of many power routing algorithms in regular monitoring applications, the variable environment and complex environment for WSN applications end up creating these procedures as an important task. This study Degree Restricted Tree (DRE) nodes for such networks, including a BS outside of the ROI in a homogeneous pre-emptive WSN. The optimal degree of a node with low DRT energy consumption is determined because the degree of a node affects the network lifespan of these forms of connections. To provide an equitable distribution of the burden in terms of transmission power, this study then suggests a Joint Decentralized Antenna (JDA) algorithm which is based on several antenna theories. With an optimum node density and DRT base, JDA is made for frequent surveillance systems with real-time applications. The results validate our research, which emphasizes that the network throughput of DRT is doubled when utilizing optimum node angles as opposed to certain other node degrees. Additionally, it has been demonstrated that introducing JDA into DRT with ideal network density increases the network's latency thus eliminating the proportion between the unstable period and the lifetime of the network in halves. Additionally, it displays a 25% improvement in network lifespan and the lowest rate of node loss when compared to the existing system ensuring that halves of nodes are still alive just a few rounds even before the lifetime of the network expires.  2022 The Authors</text>
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                <text>Measurement: Sensors, Vol-24</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139025539&amp;amp;doi=10.1016%2Fj.measen.2022.100456&amp;amp;partnerID=40&amp;amp;md5=c43562b03cc000e0657d5549de660364" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139025539&amp;amp;doi=10.1016%2fj.measen.2022.100456&amp;amp;partnerID=40&amp;amp;md5=c43562b03cc000e0657d5549de660364&lt;/a&gt;</text>
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                <text>ISSN: 26659174</text>
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                <text>Venkatanaresh M., Department of ECE, SreeVidyanikethan Engineering College, Tirupati, 517102, India; Yadav R., Department of Electronics and Communication Engineering, Government Polytechnic Daman, UT Administration of Dadra and Nagar Haveli and Daman and Diu, India; Thiyagarajan D., Department of Artificial Intelligence and Machine Learning, School of Engineering, Malla Reddy University, Maisammaguda, Dulapally, Telangana, Hyderabad, 500043, India; Yasotha S., Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Kinathukadavu, Tamil Nadu, Coimbatore, 641202, India; Ramkumar G., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, India; Varma P.S., Dept of Computer Science and Engineering, University College of Engineering, Adikavi Nannaya University, Andhra Pradesh, Rajahmundry, 533296, India</text>
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              <elementText elementTextId="137797">
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                <text>The advent of online media has been instrumental in providing consumers with quick, relevant, and convenient information on products and services. The success of such media has been established for businesses such as tourism, automobile, and consumer electronics- wherein consumers tend to decide on final purchases based on user - generated content (UGC) such as customer reviews and feedback rather than on traditional advertising media. With short lead times, quick turnaround of products, and frequent changes in offerings, the fashion industry is also exploring the use of such user-generated content for marketing its products. This study sought to explore and understand the relevant factors that draw consumers towards the usage of user-generated content (UGC) in the online space for the fashion business, and its impact on the purchase intention for different categories of fashion products. The study focused on the cosmopolitan city of Bengaluru, known for its fashion centricity and brand awareness. It attempted to analyze the factors for reference to media content generated by co-consumers, especially amongst women, and inferred that content that provides them with gratifications relating to social acceptance are more liable to positively influence their intent to purchase. It also specifically identified product categories that are liable to benefit from such content.</text>
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                <text>Venkataraman N.; Raman S.</text>
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                <text>Indian Journal of Marketing, Vol-46, No. 7, pp. 23-35.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997284045&amp;amp;doi=10.17010%2Fijom%2F2016%2Fv46%2Fi7%2F97125&amp;amp;partnerID=40&amp;amp;md5=7f5b702a5ff46bbfabd6613895b72b9c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997284045&amp;amp;doi=10.17010%2fijom%2f2016%2fv46%2fi7%2f97125&amp;amp;partnerID=40&amp;amp;md5=7f5b702a5ff46bbfabd6613895b72b9c&lt;/a&gt;</text>
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                <text>ISSN: 9738703</text>
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                <text>Venkataraman N., National Institute of Fashion Technology, CA Site # 21, 27th Main Road, HSR Layout, Bengaluru, 560 102, India; Raman S., Institute of Management, Christ University, Hosur Road, Bengaluru, 560 029, India</text>
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                <text>Computer simulation of diesel fueled engine processes using matlab and experimental investigations on research engine</text>
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            <description>An account of the resource</description>
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                <text>The depletion of conventional fuel source at a fast rate and increasing environmental pollution have motivated extensive research in combustion modeling and energy efficient engine design. In the present work, a computer simulation incorporating progressive combustion model using thermodynamic equations has been carried out using MATLAB to evaluate the performance of a diesel engine. Simulations at constant speed and variable load have been carried out for the experimental engine available in the laboratory. For simulation, speed and Air/Fuel ratios, which are measured during the experiment, have been used as input apart from other geometrical details. A state-of-the-art experimental facility has been developed in-house. The facility comprises of a hundred horsepower water cooled eddy current dynamometer with appropriate electronic controllers. A normal load test has been carried out and the required parameters were measured. A six gas analyzer was used for the measurement of NOx, HC, CO2, O2, CO and SOx. and a smoke meter was used for smoke opacity. The predicted Pressure-Volume (PV) diagram was compared with measurements and found to match closely. It is concluded that the developed simulation software could be used to get quick results for parametric studies.  Copyright 2017 ASME.</text>
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                <text>Venkataraman S.; Ramawarrier R.; Satheesh V.K.; Mundupalam N.M.; Bhure S.</text>
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                <text>American Society of Mechanical Engineers, Power Division (Publication) POWER, Vol-1</text>
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                <text>&lt;a href="https://doi.org/10.1115/POWER-ICOPE2017-3498" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1115/POWER-ICOPE2017-3498&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029861433&amp;amp;doi=10.1115%2FPOWER-ICOPE2017-3498&amp;amp;partnerID=40&amp;amp;md5=54af2812abadd5acb6a1a82dd9a25cbc" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029861433&amp;amp;doi=10.1115%2fPOWER-ICOPE2017-3498&amp;amp;partnerID=40&amp;amp;md5=54af2812abadd5acb6a1a82dd9a25cbc&lt;/a&gt;</text>
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                <text>ISBN: 978-079185760-1; CODEN: AMEPE</text>
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                <text>Venkataraman S., Diesel Engine R and D Laboratory, Mechanical Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Ramawarrier R., Diesel Engine R and D Laboratory, Mechanical Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Satheesh V.K., Diesel Engine R and D Laboratory, Mechanical Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Mundupalam N.M., Diesel Engine R and D Laboratory, Mechanical Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Bhure S., Diesel Engine R and D Laboratory, Mechanical Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India</text>
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                <text>Realization of Humanoid Doctor and Real-Time Diagnostics of Disease Using Internet of Things, Edge Impulse Platform, and ChatGPT</text>
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                <text>ChatGPT; Disease detection; Edge computing; Humanoid; Internet of Things</text>
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                <text>Venkataswamy R., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Kanminike, Karnataka,  Bangalore, 560074, India; Janamala V., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Kanminike, Karnataka,  Bangalore, 560074, India; Cherukuri R.C., Department of Computer Science and Engineering, Christ (Deemed to be University), Kanminike, Karnataka,  Bangalore, 560074, India</text>
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                <text>The burden on the consumer for the price of fuel for classic vehicles is the root cause for the emergence of the fast growing trend in the power driven vehicles or electric vehicles. Less acceptance of electric vehicles by the customers and the hesitancy to replace traditional fuel powered vehicles by considering the economic factor is a major concern that existing in the current scenario. Therefore, for the proper balancing of the load with respect to the power available among different neighbouring charging stations in a given area, a load scheduling algorithm is used. The optimal route planner for the electric vehicles reaching the charging station is identified and then the power carried by each feeder is calculated by cumulative power of all the charging stations. The identification of the possible route is performed by the spatial network analysis which will be executing at remote analyzer. The location, state of charge, and other details of the electric vehicle through telemetry is used to find the best charging station for the particular vehicle in view of the cost, distance and the time. The performance of the technique is evaluated with and without optimization by considering the logical constraints; and the results are presented.  Springer Nature Switzerland AG 2020.</text>
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                <text>ISSN: 23673370</text>
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                <text>Venkataswamy R., Department of Electrical &amp;amp; Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India; Joseph T.M., Department of Electrical &amp;amp; Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India</text>
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                <text>Internet of Things Based Autonomous Borewell Management System</text>
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              <elementText elementTextId="159808">
                <text>Bore-well centrifugal pump; Dry run; Energy conversation; Internet of things; IoT controller</text>
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                <text>Water is a basic need for all living beings. At present, due to a large population, water level is getting depleted at an alarming rate particularly in urban region. During summer season, there is no continuous flow of water or availability of water. In electrical contingency situations, bore-wells are prone to damages. The utilization of power at dry run condition affects the economy of the consumers. Despite having no water in the bore-well, if the motor runs, the motor windings may burdened and gives rise to unnecessary power loss. In the present scenario, conservation of energy is a major concern. The conservation of energy as a whole will take place when an individual take an active part by using autonomous and effective methodologies or controllers. The issue is solved by managing the borewell using Internet of Things (IoT) as a platform to automate and manage. The IoT based borewell management system is designed to provision scheduling, manual operation, avoidance of borewell motor running at dry run condition and also nullifies energy loss. The automated borewell operations can be executed from a remote control and measurement unit by the measurement of electrical parameters and analytics. The proposed system minimizes man power, saves time and conserve energy loss. The paper presents operating the conventional borewell by deployment of smart controller which handles the information and communication technology at client and base units.  Springer Nature Switzerland AG 2020.</text>
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                <text>Venkataswamy R.; Paul R.; Jogy J.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-80, pp. 229-243.</text>
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                <text>Venkataswamy R., Department of Electrical &amp;amp; Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India; Paul R., Department of Electrical &amp;amp; Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India; Jogy J., Department of Electrical &amp;amp; Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India</text>
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                <text>Transformer performance enhancement by optimized charging strategy for electric vehicles</text>
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                <text>charging stations; e-mobility; electric vehicle; optimization; transformer efficiency; transformer regulation</text>
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                <text>Transformer efficiency and regulation, are to be maintained at maximum and minimum respectively by optimal loading, control, and compensation. Charging of electric vehicles at random charging stations will result in uncertain loading on the distribution transformer. The efficiency reduces and regulation increases as a consequence of this loading. In this work, a novel optimization strategy is proposed to map electric vehicles to a charging station, that is optimal with respect to the physical distance, traveling time, charging cost, the effect on transformer efficiency and regulation. Consumer and utility factors are considered for mapping electric vehicles to charging stations. An Internet of Things platform is used to fetch the dynamic location of electric vehicles. The dynamic locations are fed to a binary optimization problem to find an optimal routing table that maps electric vehicles to a charging station. A comparative study is carried out, with and without optimization, to validate the proposed methodology.  2022. The Author(s)</text>
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                <text>Venkataswamy R.; Rao K.U.; Meena P.</text>
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                <text>Archives of Electrical Engineering, Vol-71, No. 1, pp. 37-56.</text>
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                <text>Polska Akademia Nauk</text>
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                <text>&lt;a href="https://doi.org/10.24425/aee.2022.140196" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.24425/aee.2022.140196&lt;/a&gt;
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                <text>Development of Internet of Things Platform and Its Application in Remote Monitoring and Control of Transformer Operation</text>
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                <text>Internet of things; Remote monitoring; Transformer health monitoring system; Transformer winding deformation</text>
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                <text>Internet of Things platforms deployed on the system will exhibit numerous benefits such as real time monitoring, faster operation and cost effectiveness. A system oriented IoT platform is developed which features database connotation, web services, setup portal, cloud hosting, drivers or listener for programming languages and hardware devices. The functional parameters of transformer in electrical power system vary around the limit and beyond, which is observed by the IoT platform for remote analysis and to report deformation in the winding. The frequency response measurement from the transformer terminal unit is send to cloud database which is then fetched to remote application through IoT client. At remote monitoring tool, the diagnostic algorithm is executed to estimate the location and extent of deformation. IoT based frequency response analyzer and transformer diagnostic tools developed reports the status of the transformer health condition. Depending upon the extent of deformation, the transformer is isolated from power system.  Springer Nature Switzerland AG 2020.</text>
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                <text>Venkataswamy R.; Rao K.U.; Meena P.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-80, pp. 165-183.</text>
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                <text>ISSN: 23673370</text>
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                <text>Venkataswamy R., Department of Electrical &amp;amp; Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India; Rao K.U., Department of Electrical &amp;amp; Electronics Engineering, R. V. College of Engineering, Bangalore, India; Meena P., Department of Electrical &amp;amp; Electronics Engineering, B. M. S. College of Engineering, Bangalore, India</text>
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                <text>Deformation Diagnostic Methods for Transformer Winding through System Identification</text>
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                <text>Deformation Information Tableau; Frequency Response Analysis; System Identification; Transformer Winding</text>
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                <text>Transformers play a critical role in the power system. Dynamics of the power system changes if the transformers are out of service for scheduled and unscheduled maintenance work under contingency situations. Faults, overloading, and mechanical abnormalities causes the incipient and critical damages to the transformer. The isolation of transformers leads to the voltage profile change, load curtailments, high compensation, economic loss, and many more problems. It is very important to know the problems occurred in the transformer parts to repair and restore it into the system to attain better stability, reliability, and economics. The transformer health monitoring system consisting of prediction, identification, and diagnostics in online as well as offline mode that will provide sufficient content to the managerial utility to take actions against the problem anticipated or occurred. The heuristic survey inks, the probability of damage in the transformer winding is more compared to the other parts. A novel method using system identification is proposed for the diagnosis of transformer winding. The location and extent of mechanical deformations can be ascertained along with specifically detecting radial and axial deformations in the transformer windings. A system identification approach in frequency and time domain were employed in the diagnostic algorithms for the sweep frequency response dataset. For both transfer function and state space model, a reference table called deformation information tableau has been synthesized for lumped parameter transformer model by varying series and shunt circuit elements systematically. The details of deformation are extracted from the tableau for actual frequency response data for a specified frequency range and winding type. The crosscorrelation of two-dimensional frequency response arrays, one being a signature array and other being deformation array, is used to represent relativity as a singleton. A toolbox is developed for the generation of heuristic deformation information tableau and to diagnose using the diagnostics algorithm developed. The proposed algorithms were verified and simulated for continuous disk type winding.  2019 IEEE.</text>
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                <text>Venkataswamy R.; Rao K.U.; Meena P.</text>
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                <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-153869319-3</text>
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                <text>Venkataswamy R., Department of Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bengaluru, India; Rao K.U., Department of Electrical and Electronics Engineering, R. V. College of Engineering, Bengaluru, India; Meena P., Department of Electrical and Electronics Engineering, B. M. S. College of Engineering, Bengaluru, India</text>
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                <text>Internet of things based metaheuristic reliability centered maintenance of distribution transformers</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="185528">
                <text>Distributed generation; Machine learning; Optimization; Reliability centered maintenance</text>
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                <text>The transformer is a vital component of the power system. Continuous stress on the transformer due to overload, transient and faults will lead to physical damages. The isolation of the transformer causes significant revenue loss and inconvenience to the consumers at the distribution level. This invites the need to achieve a reliable power supply to the consumers and to perform maintenance activity appropriately. Optimized and predictive maintenance strategies are evolved to improve power availability for consumers. The model considers dispersive generation at the customer end, namely solar photovoltaics standalone system, diesel generation, and vehicle to load capabilities. Incipient or critical status of transformers' functional parameters are observed through the transformer terminal unit and sent to the internet of things platform. The remote processing unit acquires the information from all the distribution transformer and generates the optimized and reliability-centered maintenance schedule. In the proposed work, new reliability indices concerning the consumer dispersive generation are defined. The maximization of the reliability problem is solved using the coconut tree optimization technique. The highest reliability of power supply to the consumer and maintenance schedule are obtained. Economic facet of the estimated maintenance schedule exhibit benefit for both utility and consumer as it encapsulate time of use tariff. The heuristic dataset is used to synthesize the trained model by the machine learning algorithm and future maintenance schedule is predicted. The comparative study is made for the outcome of time-based optimized and predicted maintenance schedules against reliability.  2020 Institute of Physics Publishing. All rights reserved.</text>
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                <text>Venkataswamy R.; Uma Rao K.; Meena P.</text>
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              <elementText elementTextId="185531">
                <text>IOP Conference Series: Earth and Environmental Science, Vol-463, No. 1</text>
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                <text>Institute of Physics Publishing</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 17551307</text>
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                <text>Venkataswamy R., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Bangalore, India; Uma Rao K., Department of Electrical and Electronics Engineering, RV College of Engineering, Bangalore, India; Meena P., Department of Electrical and Electronics Engineering, BMS College of Engineering, Bangalore, India</text>
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                <text>A Novel Nature-Inspired Coconut Tree Optimization Technique forEngineering Applications</text>
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                <text>Coconut tree optimization technique is a novel optimization algorithm that is motivated by the physical structure of the coconut tree. The search for optima in a feasible region is chosen between a random root and any point in a leaf. Coconut tree optimization is a pseudo meta-heuristic algorithm wherein search of solution is carried out using random as well as gradient movement with a memory stack that contains local optima. Nonlinear optimization problems consisting of equality and inequality constraints were solved using the proposed algorithm. The algorithm is validated for linear and nonlinear optimization problems. The comparative study and analysis were detailed for existing algorithms used in domain-specific physical problems. The algorithm is compared with the genetic algorithm and particle swarm optimization by considering standard test functions.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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                <text>Carbon nano-onions (CNOs) are fascinating zero-dimensional carbon materials owning distinct multi-shell architecture. Their physicochemical properties are highly related to the parent material selected and the synthesis protocol involved. In the present work, we report for the first time novel CNO structures encompassing discrete carbon allotropes, namely, H18 carbon, Rh6 carbon, and n-diamond. These structures were cost-effectively synthesized in gram scale by facile flame pyrolysis of paraffinum liquidum, a highly refined mineral oil. The as-synthesized and chemically refashioned CNOs are quasi-spherical self-assembled mesopores, manifesting remarkable stability and hydrophilicity. The CNO structures exhibit excellent dye adsorption characteristics with high removal capacity of 1397.35mg/g and rapid adsorption kinetics with a minimal adsorbent dosage of 10mg/L, for a low concentration of 20mg/L methylene blue dye. The novel CNOs assure potential implementation in the remediation of low concentration and high volume of dye-contaminated wastewater. Graphical abstract [Figure not available: see fulltext.]  2020, Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Venkatesan R.A.; Balachandran M.</text>
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                <text>Environmental Science and Pollution Research, Vol-27, No. 35, pp. 43845-43864.</text>
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                <text>Venkatesan R.A., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Balachandran M., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India</text>
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                <text>carbon nanoparticle; chemical oxidation; Cinnamomum camphora; green synthesis</text>
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                <text>A facile green synthesis for carbon nanoparticle production using Cinnamomum camphora (Camphor) is presented. Camphor upon carbonization and chemical oxidation leads to the formation of nano-carbon structures with lateral size 7.33nm to 4.14nm, respectively. The nanomaterial's stacking height is about 2.76nm and 3.10nm, leading to the formation of about 10 layers of carbon. The AFM analysis confirms that the graphene layer formed is wrinkled or folded. Developments of a layered structure with spheroids are observed on the sample's surface, confirming the graphitization of the amorphous carbon. The relative intensity of the defect to the graphite band is found to be 0.98 for the nanostructure indicating a lesser degree of defects. The C1s band of the nanostructure is deconvoluted to components at 284.7, 286.5, 287.3, and 289 eV, which are assigned to non-oxygenated ring carbon (sp2 carbon), C in C-O (bound to O either as epoxy or hydroxyl), C in C=O (of alcohols, phenols or ether), and C in C(O)O (carboxylic acid) respectively. The study reveals the formation of few-layer oxygenated carbon layers from the botanical hydrocarbon.  2020 by the authors.</text>
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                <text>Venkatesan R.A.; Joseph N.; Balachandran M.</text>
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                <text>Letters in Applied NanoBioScience, Vol-10, No. 1, pp. 2003-2011.</text>
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                <text>Venkatesan, Aakash; Nizam, Aatika; Cherian, Anila Rose; Patel, Rupali; Xavier, Jobi; Pooja, K.R.; Harini, R.; Nagaraju, G.</text>
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                <text>Venkatesan A., Department of Chemistry, Christ University, Bangalore, 560029, India; Nizam A., Department of Chemistry, Christ University, Bangalore, 560029, India; Cherian A.R., Department of Chemistry, Christ University, Bangalore, 560029, India; Patel R., Department of Physics, Christ University, Bangalore, 560029, India; Xavier J., Department of Life Sciences, Christ University, Bangalore, 560029, India; Pooja K.R., Department of Chemistry, Rani Channamma University, Belagavi, 591156, India; Harini R., Department of Electronics and Communication Engineering, Govt. Polytechnic, Hiriyur, 577599, India; Nagaraju G., Energy Materials Research Laboratory, Department of Chemistry, Siddaganga Institute of Technology, Tumakuru, 572103, India</text>
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                <text>The green synthesis of nanoparticles (NPs) has emerged as a sustainable alternative to conventional chemical approaches, primarily due to the use of phytochemicals as reducing and stabilizing agents. In the present study, bimetallic ZnMn2O4 nanoparticles were synthesized via a green combustion method employing Arachis hypogaea (peanut) seed powder as a natural fuel source. The synthesized ZnMn2O4 NPs were systematically characterized using XRD, FTIR, SEM, BET, UV-Vis, and PL spectroscopy to elucidate their structural, morphological, and optical properties. Distinct bluish-green fluorescence was observed under short-wave UV irradiation (254 nm), enabling their application in latent fingerprint visualization. The multifunctional performance of the ZnMn2O4 NPs was further demonstrated in environmental applications. The materials exhibited enhanced adsorption (63%  0.2%) and photocatalytic degradation (79%  0.3%) efficiencies against Methylene Blue (MB) dye under UV irradiation, with results statistically significant (p &amp;lt; 0.05). In addition, the NPs effectively reduced toxic Cr(vi) ions in aqueous media, highlighting their potential as efficient detoxification agents. Overall, this work demonstrates a novel, green synthesis route for ZnMn2O4 nanoparticles that uniquely integrates environmental remediation and forensic applications. The dual functionality addressing both pollutant degradation/detoxification and forensic fingerprint visualization positions this study as a rare and innovative contribution to the field of nanotechnology.  2025 The Royal Society of Chemistry.</text>
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                <text>Venkatesan, Aakash; Nizam, Aatika; Kallesh, Jeevitha; Hegde, Sumanth; Chinnam, Sampath; Harini, R.; Ganganagappa, Nagaraju</text>
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                <text>Nature-inspired ?-MnMoO4nanocubes from Arachis hypogaea for next-generation wastewater treatment and organic pollutant catalysis</text>
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                <text>Materials Advances;Volume;7;Issue;4;pp.2225-2240</text>
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                <text>&lt;a href="https://doi.org/10.1039/d5ma01046b" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/d5ma01046b&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105028117272?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105028117272?origin=resultslist&lt;/a&gt;</text>
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                <text>Venkatesan A., Department of Chemistry, Christ University, Bangalore, 560029, India; Nizam A., Department of Chemistry, Christ University, Bangalore, 560029, India; Kallesh J., Department of Chemistry, Christ University, Bangalore, 560029, India; Hegde S., Department of Chemistry, Christ University, Bangalore, 560029, India; Chinnam S., Department of Chemistry, M.S. Ramaiah Institute of Technology, Autonomous Institution, affiliated to Visvesvaraya Technological University, Belgaum, Bengaluru, 560054, India; Harini R., Department of Electronics and Communication Engineering, Govt. Polytechnic, Hiriyuru, 577599, India; Ganganagappa N., Energy Materials Research Laboratory, Department of Chemistry, Siddaganga Institute of Technology, Tumakuru, 572103, India</text>
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                <text>In this study, bimetallic ?-MnMoO4 nanoparticles (NPs) were successfully synthesized via a one-step solution combustion method using Arachis hypogaea (peanut) seed powder as a green fuel. This eco-friendly route was adopted to explore the adsorption, photocatalytic, and catalytic properties of the resulting NPs. The structural, morphological, and optical characteristics of ?-MnMoO4 NPs were systematically characterized using XRD, FTIR, UV-vis, and PL spectroscopy, SEM, and EDX techniques. Notably, ?-MnMoO4 NPs demonstrated excellent adsorption capability toward methylene blue (MB) dye, achieving a removal efficiency of 86.70%, which was primarily attributed to their negatively charged surface. Moreover, the nanoparticles demonstrated a remarkable photocatalytic activity, achieving 81.55% degradation of MB through the photo-oxidation of water into hydroxyl (?H) radicals by photogenerated holes. Beyond dye remediation, the study further explored the catalytic capabilities of o-phenylenediamine via oxidative condensation with substituted aromatic aldehydes to synthesize benzimidazole derivatives, achieving yields ranging from 35% to 85%, depending on the substituents used. This integrated approach highlights the potential of ?-MnMoO4 NPs not only in pollutant removal but also in facilitating the green synthesis of high-value chemical products, demonstrating promising applications in environmental remediation and fine chemical industries. This journal is  The Royal Society of Chemistry, 2026</text>
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                <text>Venkatesan, Aakash; Nizam, Aatika; Theresa, Letcy V.; Xavier, Jobi; Ganganagappa, Nagaraju</text>
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                <text>Hormonal-mediated Cicer arietinum L. leaf extract-assisted synthesis of a ternary g-C3N4/ZrTiO4/V2O5 nanocomposite for photocatalytic remediation of organic pollutants</text>
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                <text>New Journal of Chemistry;Volume;50;Issue;14;pp.6169-6181</text>
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                <text>&lt;a href="https://doi.org/10.1039/d6nj00565a" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/d6nj00565a&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105034417818?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105034417818?origin=resultslist&lt;/a&gt;</text>
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                <text>Venkatesan A., Department of Chemistry, Christ University, Hosur Road, Bangalore, India; Nizam A., Department of Chemistry, Christ University, Hosur Road, Bangalore, India; Theresa L.V., Department of Chemistry, Christ University, Hosur Road, Bangalore, India; Xavier J., Department of Life Sciences, Christ University, Hosur Road, Bangalore, India; Ganganagappa N., Energy Materials Research Laboratory, Department of Chemistry, Siddaganga Institute of Technology, Tumakuru, 572103, India</text>
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                <text>A novel green synthesis approach was developed for the fabrication of a g-C3N4/ZrTiO4/V2O5 nanocomposite (NC) using a hormone-treated plant extract as a biogenic reducing and stabilizing agent. The hormone-assisted synthesis had a significant influence on the physical, chemical, and morphological properties of the nanocomposite compared to the control route. The obtained NCs, confirmed by XRD, FTIR, UV-vis, SEM, and EDX analyses, exhibited enhanced crystallinity, a reduced band gap, and a distinct morphological transformation from nanorods to nanocubic structures. Elemental composition analysis confirmed the successful integration of Zr, Ti, and V components, improving the photocatalytic performance of the material. The hormone-mediated g-C3N4/ZrTiO4/V2O5 NC achieved an 89.14% degradation efficiency of Rose Bengal dye, maintaining its activity over three successive cycles without notable loss of performance. Furthermore, the photocatalyst efficiently converted degradation intermediates, such as benzyl alcohols, into valuable substituted benzaldehyde derivatives with yields ranging from 75% to 92%, demonstrating sustained catalytic stability over four consecutive cycles. These findings highlight the potential of hormone-assisted green synthesis as a promising and sustainable approach for designing advanced photocatalytic nanomaterials. This journal is  The Royal Society of Chemistry and the Centre National de la Recherche Scientifique, 2026</text>
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