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                <text>Impact of microfinance in socio economic development evidence from south India </text>
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                <text>The role and impact of microfinance in the socio economic development of the low income people who are not credit worthy has been assessing and exploring by researchers for its sustainable operation and the development of formal financial system. The study explores the socio economic development of microfinance in South India. The objectives are based on variables like financial inclusion, employment and earning opportunities, social inclusion, economic development. social development, personal development. family relationship, economic newlineresilience, social capital, and well-being. The scope of the study is limited to the newlinebeneficiaries of microfinance in four states, namely Andhra Pradesh (undivided),Karnataka, Tamil Nadu and Kerala. The sampling method used in the study is non probability sampling technique of purposive sampling. Both primary and secondary data are used and it is found that microfinance has contributed to financial inclusion, social inclusion and employment and earning opportunities. Besides it has supported substantially social developinent and moderately economic development of the beneficiaries. Further it is noted that it has positive effect on personal development, and family development. Thus it has contributed to develop economic resilience and social capital among low income people which ultimately sustain their well-being, The major findings of the study are: is found that social inclusion, employment and earning opportunity and newlinefinancial inclusion have a significant influence on social development. It is explored that the financial inclusion and employment and earning opportunity can predict the economic development. It is concluded that the financial inclusion and employment and earning opportunity have a significant influence on the family relationship. It is found that the financial inclusion, employment and earning opportunity newlinecan predict the Personal development. It is observed that the personal development newlineand social development can predict the social capital.</text>
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                <text>The role and impact of microfinance in the socio economic development of the low income people who are not credit worthy has been assessing and exploring by researchers for its sustainable operation and the development of formal financial system. The study explores the socio economic development of microfinance in South India. The objectives are based on variables like financial inclusion, employment and earning opportunities, social capital, and well-being.</text>
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                <text>Chest Diseases Prediction from X-ray Images using CNN Models: A Study</text>
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                <text>Convolutional neural networks; DenseNet201; ResNet50V2; VGG19</text>
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                <text>Chest Disease creates serious health issues for human beings all over the world. Identifying these diseases in earlier stages helps people to treat them early and save their life. Conventional Neural Networks play an important role in the health sector especially in predicting diseases in the earlier stages. X-rays are one of the major parameters which help to identify Chest diseases accurately. In this paper, we study the prediction of chest diseases such as Pneumonia, COVID-19, and Tuberculosis (TB) from the X-ray images. The prediction of these diseases is analyzed with the support of three CNN Models such as VGG19, Resnet50V2, and Densenet201, and results are elaborated in the terms of Accuracy and Loss. Though all three models are highly accurate and consistent, considering the factors like architectural size, training speed, etc. Resnet50V2 is the best model for all three diseases. It trained with F1 score accuracies of 0.98,0.92,0.97 for pneumonia, tuberculosis, covid respectively.  2021</text>
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                <text>Mangeri L.; Gnana Prakasi O.S.; Kanmani P.; Puppala N.</text>
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                <text>International Journal of Advanced Computer Science and Applications, Vol-12, No. 10, pp. 236-243.</text>
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                <text>Mangeri L., Research Scholar, Computer Science &amp;amp; Engineering, CHRIST University, Bangalore, India; Gnana Prakasi O.S., Computer Science &amp;amp; Engineering, CHRIST University, Bangalore, India; Kanmani P., Computer Science &amp;amp; Engineering, CHRIST University, Bangalore, India; Puppala N., Electronics &amp;amp; Communication Engineering, CHRIST University, Bangalore, India</text>
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                <text>Two-phase Sakiadis flow of a nanoliquid with nonlinear Boussinesq approximation and Brownian motion past a vertical plate: Koo-Kleinstreuer-Li model</text>
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                <text>Brownian movement; dusty fluid; KKL model; nanoliquid; nonlinear Boussinesq approximation; nonlinear convection</text>
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                <text>This paper investigates the Sakiadis flow of a Al2O3-H2O nanoliquid with consistently scattered dust particles over a vertical plate. To account for the effect of the Brownian movement, the Koo-Kleinstreuer-Li model is considered. In some thermal systems such as reactor safety areas, and solar collectors, combustion works from moderate to high temperature, making the relationship between the temperature and density nonlinear. To consider this temperature-dependent density, the nonlinear Boussinesq estimation is utilized. The present physical structure, which includes energy and momentum equations, is converted into a system of ordinary, coupled, and nonlinear differential conditions through the help of similarity transformations. By using the finite difference code, the subsequent equations have been numerically solved. The impact on the velocity and the thermal profiles of the nondimensional parameters is visualized through graphs. Both the Nusselt number and friction factor strengthen with ahigher nonlinear thermal parameter in the case of nonlinear Boussinesq approximation compared to the linear Boussinesq case. Growing estimations of nonlinear thermal parameter deteriorate the thermal profile but it boosts the velocity profile of both liquid and dust phases.  2020 Wiley Periodicals LLC</text>
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                <text>Manghat R.; Mahanthesh B.; Shehzad S.A.; Siddabasappa</text>
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                <text>Heat Transfer</text>
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                <text>&lt;a href="https://doi.org/10.1002/htj.21959" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/htj.21959&lt;/a&gt;
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                <text>Manghat R., Department of Mathematics, Government First Grade College, Kolar, Karnataka, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Shehzad S.A., Department of Mathematics, COMSATS University Islamabad, Sahiwal, Pakistan; Siddabasappa, Department of Mathematics, Government Science College, Bengaluru, Karnataka, India</text>
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                <text>The current investigation reports the impact of amalgamations of carbon nanotubes and aluminum oxide in boosting the thermochemical properties of water as the base fluid. It is assumed that the viscosity of the base fluid varies with temperature exponentially and temperature varies linearly. The governing equations prevalent in the current problem accompanied by boundary conditions are transformed into a highly nonlinear system of ODEs by means of similarity trans-formations. The numerical result for the obtained mathematical model was acquired by using the bvp4c inbuilt function in MATLAB. The domain effects were analyzed through sketched graphs. It is further observed that the Nusselt number decreases with the rising value of the variable viscosity and the thermal conductivity parameters.  2021 Begell House, Inc. www.begellhouse.com.</text>
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                <text>Nanoscience and Technology, Vol-12, No. 1, pp. 39-56.</text>
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                <text>Manghat R., Department of Mathematics, G.F.G.C.K.G.F, Karnataka, 563122, India; Sarpabhushana M., Department of Mathematics, Faculty of Engineering, Christ (Deemed to be University), Bengaluru Karnataka, 560076, India; Baby A.K., Department of Mathematics, Faculty of Engineering, Christ (Deemed to be University), Bengaluru Karnataka, 560076, India; Basappa S., Department of Mathematics, Government Science College, Bengaluru Karnataka, 560019, India</text>
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                <text>Evolving corporate sustainable development: a case study of Mysore Paper Mills Limited</text>
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          <element elementId="49">
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                <text>In 1987, the World Commission on Economic Development (WCED) popularized the term sustainable development in its well-cited report, Our Common Future. According to this report, sustainable development is defined as the development that meets the needs of the present without compromising the ability of future generations to meet their own needs. The WCED asserted that sustainable development required simultaneous adoption of environmental, economical, and equity principles. Bansal (Strategic Management Journal, 26(3), 197218, 2005) has conducted a study of Canadian firms in the oil and gas, mining, and forestry industries from 1986 to 1995. The study found that both resources based and institutional factors influence corporate sustainable development. This paper studied the corporate sustainable development of Mysore Paper Mills Ltd. from 1995 to 2011 using the same model. The study found that independent variables with significant impact on environmental integrity and overall sustainability were fines, penalties, court cases (total) involved by the company, and log of total assets. On economic prosperity, the independent variable with significant impact is log of total assets. For social equity, the independent variable with significant impact is foreign sales as percentage of total sales, number of fines/penalties/court cases (total), number of fines/penalties/court cases (environmental), log(total assets), and return on equity.  2013, Springer Science+Business Media Dordrecht.</text>
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              <elementText elementTextId="139018">
                <text>Mani A.</text>
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                <text>Asian Journal of Business Ethics, Vol-3, No. 1, pp. 41-56.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126555942&amp;amp;doi=10.1007%2Fs13520-013-0030-3&amp;amp;partnerID=40&amp;amp;md5=d2a9b4073ee9afd9988ca4283255b723" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126555942&amp;amp;doi=10.1007%2fs13520-013-0030-3&amp;amp;partnerID=40&amp;amp;md5=d2a9b4073ee9afd9988ca4283255b723&lt;/a&gt;</text>
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                <text>ISSN: 22106723</text>
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                <text>Mani A., Department of Commerce, Christ University, Hosur Road, Karnataka, Bangalore, 560 029, India</text>
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            <elementTextContainer>
              <elementText elementTextId="159100">
                <text>Quantum optimization for machine learning</text>
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            </elementTextContainer>
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          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="159101">
                <text>Artificial Intelligence; Non-convex optimization; Quantum computing</text>
              </elementText>
            </elementTextContainer>
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            <description>An account of the resource</description>
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              <elementText elementTextId="159102">
                <text>Machine learning is a branch of Artificial Intelligence that seeks to make machines learn from data. It is being applied for solving real world problems with huge amount of data. Though, Machine Learning is receiving wide acceptance, however, execution time is one of the major concerns in practical implementations of Machine Learning techniques. It largely comprises of a set of techniques that trains a model by reducing the error between the desired or actual outcome and an estimated or predicted outcome, which is often called as loss function. Thus, training in machine learning techniques often requires solving a difficult optimization problem, which is the most expensive step in the entire model-building process and its applications. One of the possible solutions in near future for reducing execution time of training process in Machine learning techniques is to implement them on quantum computers instead of classical computers. It is conjectured that quantum computers may be exponentially faster than classical computers for solving problems which involve matrix operations. Some of the machine learning techniques like support vector machines make extensive use of matrices, which can be made faster by implementing them on quantum computers. However, their efficient implementation is non-trivial and requires existence of quantum memories. Thus, another possible solution in near term is to use a hybrid of Classical Quantum approach, where a machine learning model is implemented in classical computer but the optimization of loss function during training is performed on quantum computer instead of classical computer. Several Quantum optimization algorithms have been proposed in recent years, which can be classified as gradient based and gradient free optimization techniques. Gradient based techniques require the nature of optimization problem being solved to be convex, continuous and differentiable otherwise if the problem is non-convex then they can find local optima only whereas gradient free optimization techniques work well even with non-continuous, non-linear and nonconvex optimization problems. This chapter discusses a global optimization technique based on Adiabatic Quantum Computation (AQC) to solve minimization of loss function without any restriction on its structure and the underlying model, which is being learned. Further, it is also shown that in the proposed framework, AQC based approach would be superior to circuit-based approach in solving global optimization problems.  2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.</text>
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                <text>Mani A.; Bhattacharyya S.; Chatterjee A.</text>
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                <text>Quantum Machine Learning, pp. 39-66.</text>
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                <text>&lt;a href="https://doi.org/10.1515/9783110670707-003" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1515/9783110670707-003&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092073994&amp;amp;doi=10.1515%2F9783110670707-003&amp;amp;partnerID=40&amp;amp;md5=9f3335f4c282e54c065b3ede3e3e3e69" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092073994&amp;amp;doi=10.1515%2f9783110670707-003&amp;amp;partnerID=40&amp;amp;md5=9f3335f4c282e54c065b3ede3e3e3e69&lt;/a&gt;</text>
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                <text>ISBN: 978-311067070-7; 978-311067072-1</text>
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                <text>Mani A., ASET, Amity University UP Noida, Uttar Pradesh, India; Bhattacharyya S., Department of Computer Science and Engineering CHRIST (Deemed to be University), Bangalore, India; Chatterjee A., Computer Science California State University Dominguez Hills, United States</text>
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                <text>APPLICATION OF ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL INDUSTRY</text>
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                <text>Artificial Intelligence; Drug Discovery; Drug Regulation; Personalised Marketing; Pharmaceutical Marketing; Supply Chain</text>
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                <text>Artificial Technology is the blockbuster technology today. Pharmaceutical industry is no exception to the technology onslaught. Pharmaceutical industry adapting to the Artificial Intelligence (AI) to improve the overall performance of the industry processes, through improved efficiency in the operations and reduced lead time in the drug discovery. This is done through AIs ability of scanning huge data to speed up the drug discovery stage by identifying prospective drug candidates through technology like Structure-Based Virtual Screening (SBVS) and Fragment-Based Drug Discovery (FBDD). A nascent drug approach called as drug repurposing is very prospective through AI, and AI makes it possible to integrate nanotechnology, targeted drug development and personalised treatment based on genetic and proteomic data. AI has huge applications in the very important drug development stage of clinical trials. Selection of suitable participants, predicting drug responses will have huge cost reduction with the AI technology. In addition to drug trials, AI is transforming the pharmaceutical marketing process. Personalised communication, predictive sales forecasting, automated content generation and sentiment analysis are some of the possible as of now. These applications make the companies offer tailor made marketing strategies specific to physicians and patients and monitor the brand reputation and bring efficiency in the supply chain. Albeit the potential benefits, adoption of AI fully in the pharmaceutical industry has its own challenges. In the areas of data privacy, regulatory compliance and ethics related to drug testing, AI could face serious challenges. As the technology evolves, AI will have its impact on the pharmaceutical industry offering huge growth opportunities. India could emerge as a potential superpower in the pharmaceutical industry if AI is properly harnessed for industry growth. India can be the pharmacy for the entire world in the coming days if industry finds a way to utilize AI properly.  2024, Indian Pharmaceutical Association. All rights reserved.</text>
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                <text>The concept of Telemedicine was known to the public since 1970s but the real potential was realized only during the pandemic Covid-19. The pandemic has reviewed Telemedicine and has given a wide acceptance among the public within a short span of time. This technology enabled tele-healing offers very little direct interaction between the healthcare providers and the patients. This article explores the technology requirements, ethical, and legal challenges, and opportunity to offer different healthcare services through Telemedicine. There is a scope for this technology morphing into platform models like what we have for social media. As more people start using telemedicine, the other healthcare services could be identified and offered for each individual. It can be concluded that telemedicine offers huge potential to take health benefits at places where health infrastructure could not be offered due to scalability issues.  2023, Indian Pharmaceutical Association. All rights reserved.</text>
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                <text>Manicka M.M.K., School of Business and Management, Christ University, India; Joseph D., Department of Commerce, Christ University, India; Desikan D., Department of Psychology, Christ University, India; Ramawarrier R., Department of Mechanical and Automobile Engineering, Christ University, India</text>
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                <text>The pandemic is anticipated to have a significant economic impact, and it already has a terrible effect on schooling worldwide. Due to the coronavirus's quick spread, educational institutions worldwide are making the drastic leap from delivering course materials in person to doing so online. The rapid use of digital technology represents a significant paradigm change that may ultimately transform the Indian educational system. The COVID-19 scenario provides an opportunity to test new tools and technology to make education more relevant for students who cannot travel to campuses. With online learning and evaluation, there is a chance to increase knowledge and productivity while acquiring new skill sets and expedited professional talents. In this chapter, the authors have examined the educational difficulties and opportunities brought on by the sudden COVID-19 epidemic, followed by a discussion of how the Indian educational system has to be recalibrated. Copyright  2023, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.  2023 by IGI Global. All rights reserved.</text>
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                <text>Manigandan E., Saveetha College of Liberal Arts and Sciences, SIMATS, Department of Computer Applications, Tamilnadu, Chennai, India; Anispremkoilraj P., KSR Institute for Engineering and Technology, Tiruchengode, India; Suresh Kumar B., Chaitanya Bharathi Institute of Technology, Dept of EEE, Telangana, Hyderabad, India; Satre S.M., Bharati Vidyapeeth College of Engineering, Department of Information Technology, Navi Mumbai, India; Chauhan A., School of Sciences, CHRIST (Deemed to Be University), Department of Life Sciences, Bengaluru, Karnataka, India; Jeyaganthan C., AMET Business School, AMET University, Chennai, India</text>
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                <text>Manikandan P and Faheem Ahmed Khan</text>
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                <text>&lt;a href="https://www.iieta.org/journals/ejee/paper/10.3166/EJEE.20.455-468" target="_blank" title="Analysis of multimode oscillations caused by subsynchronous resonance on generator shaft" rel="noreferrer noopener"&gt;https://www.iieta.org/journals/ejee/paper/10.3166/EJEE.20.455-468&lt;/a&gt;</text>
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                <text>Earthing or Grounding is an Electrical system consists of electrodes which serves as an electrical connection from an electric circuit in the system to the earth or ground. Traditional Earthing- where we mix charcoal and salt offers low resistance to the fault current flow developed from a Low operating Voltages. Since operating voltages are high now a days, Short circuit current also increased. Traditional method of Earthing is replaced by chemical Earthing.Bentonite which is mainly used in chemical Earthing serves the requirement of Low resistance Earthing pits and also have the property to retain the moisture. In this paper an attempt had been made to assure the Flyash usage in the grounding pit and this paper discusses the Characterization, Comparison and Field Studies on Earthing Pit constructed with Bentonite and Fly ash layers.  2015 IEEE.</text>
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                <text>Manikandan P.</text>
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                <text>ISBN: 978-147996084-2</text>
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                <text>Manikandan P., Christ University, Bangalore, India</text>
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                <text>Study of generator shaft behaviour during subsynchronous resonance using finite element method</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="124140">
                <text>Damper; Finite element method; Modal analysis; Shaft; Subsynchronous resonance</text>
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          <element elementId="41">
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                <text>Scientific research in electric power stations includes various online monitoring and control of equipments. Turbine and generator plays a key role in generating power. Frequency response analysis of the shaft which connects turbine and generator is used to detect the steady state response. It will enable the user to understand and design the system in such a way that it can withstand resonance, fatigue and other vibrations. Subsynchronous resonance which arises during line compensation by series capacitors increases oscillations in the turbine generator shaft system. The oscillations developed at low frequency causes physical damage to the shaft. There are several real time monitoring of the rotor shaft and turbine shaft misalignment by using laser technologies. The aim of this research paper is to use frequency response and modal analysis technique to detect the stress in the shaft and improve the design of it. A viscous damper is designed in the 3D model at the point of highly stressed area to control the resonance effect caused by series capacitors.  2020, Levrotto and Bella. All rights reserved.</text>
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                <text>Manikandan P.; Khan F.A.</text>
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            <elementTextContainer>
              <elementText elementTextId="124143">
                <text>International Journal of Mechanics and Control, Vol-21, No. 1, pp. 121-126.</text>
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              <elementText elementTextId="124144">
                <text>Levrotto and Bella</text>
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                <text>ISSN: 15908844</text>
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                <text>Manikandan P., Department of EEE, Christ (Deemed to be University), Bangalore, India; Khan F.A., Department of EEE, Ghousia College of engineering, Ramanagaram, India</text>
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                <text>Determination of stress on turbine generator shaft due to subsynchronous resonance using finite element method</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="131846">
                <text>ANSYS; Finite element method; Series compensation; Shaft; Sub synchronous resonance</text>
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                <text>Power Capacitors plays a vital role in reactive power compensation. When the capacitors are connected to the transmission line, it improves the reactive power. Although the reactive power is improved, there is a possibility for sub synchronous resonance created by this capacitors in the transmission line which can impact the generator frequency. The sub synchronous resonance causes electro-mechanical stress in the generator shaft which ultimately leads to malfunction of the entire power generating unit. It is necessary to find out operating modes of the generator and turbine when the line is compensated with capacitors. Once the operating modes are clear, it is possible to damp the sub synchronous resonance. In this paper, three phase generator is coupled with a prime mover and capacitors are connected before the load. The stress on the turbine is analysed based on the torque of two rotating machines. Finite element method is used to estimate the stress in the turbine generator shaft system.  2006-2019 Asian Research Publishing Network (ARPN).</text>
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                <text>Manikandan P.; Khan F.A.</text>
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                <text>ARPN Journal of Engineering and Applied Sciences, Vol-14, No. 1, pp. 29-33.</text>
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                <text>Asian Research Publishing Network</text>
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                <text>Manikandan P., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Bangalore, India; Khan F.A., Department of Electrical and Electronics Engineering, Ghousia College of Engineering, Ramanagaram, India</text>
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                <text>Analysis of multimode oscillations caused by subsynchronous resonance on generator shaft</text>
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              <elementText elementTextId="133641">
                <text>Finite element method; Modal analysis; Subsynchronous resonance; Turbine-generator</text>
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                <text>Series capacitors are installed in high voltage alternating current transmission lines to counteract the inductive reactance of the line. The resonance caused by series capacitors between electric system and mechanical system at frequencies less than the synchronous speed, leads to torsional oscillations. Undamped oscillations ma y cause a severe fatigue in the turbine generator shaft system. Rotating component undergoes various modes of oscillations when it is subjected to resonance. Rotor oscillate in different modes such as swing mode, super synchronous mode, electromechanical mode and torsional mode. Rotor dynamics of rotating structure depends on several factors like Coriolis Effect, moment of inertia and stiffness coefficient. Modal analysis using finite element method gives the natural frequency and mode shapes of any rotating structures. In this paper, a two mass rotating system which is analogous to turbine generator is subjected to resonance by adding series capacitors and its dynamic behavior is studied using finite element method.  2018 Lavoisier.</text>
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                <text>Manikandan P.; Khan F.A.</text>
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                <text>European Journal of Electrical Engineering, Vol-20, No. 4, pp. 455-468.</text>
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                <text>Lavoisier</text>
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                <text>&lt;a href="https://doi.org/10.3166/EJEE.20.455-468" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3166/EJEE.20.455-468&lt;/a&gt;
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                <text>ISSN: 21033641</text>
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                <text>Manikandan P., Department of EEE, Christ, Deemed to be University, Bangalore, Karnataka, India; Khan F.A., Department of EEE, Ghousia College of Engineering, Ramanagaram; Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India</text>
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                <text>Dampers to Suppress Vibrations in Hydro Turbine-Generator Shaft Due to Subsynchronous Resonance</text>
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                <text>Damper; Modal analysis; Rotor dynamics; Subsynchronous resonance; Turbo-generator shaft</text>
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                <text>There are numerous applications to evaluate the damage caused by subsynchronous resonance (SSR) to a turbine-generator shaft. Despite multiple applications, there are relatively few studies on shaft misalignment in the literature. In this paper, stresses in the existing turbine-generator shaft due to subsynchronous resonance were studied using finite element analysis (FEA). The 3D finite element model reveals that the most stressed part of the shaft is near the generator terminal. A new nonlinear damping scheme is modeled to reflect the torsional interaction and to suppress the mechanical vibration caused by subsynchronous resonance (SSR). Stresses developed due to the addition of capacitors in the system at high rotational speeds and deformation of the shaft during various modes of oscillations were evaluated. Experimental investigations are carried out in reaction turbine connected to a 3kVA generator. Simulation is carried out for the experimental setup using ANSYS. According to the simulation results, the damper installed near the generator terminal provides satisfactory damping performance and the subsynchronous oscillations are suppressed.  2021, Springer Nature Singapore Pte Ltd.</text>
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                <text>Manikandan P.; Khan F.A.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 469-479.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-15-4308-1_36" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-15-4308-1_36&lt;/a&gt;
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                <text>ISSN: 21954356; ISBN: 978-981154307-4</text>
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                <text>Manikandan P., CHRIST (Deemed to be University), Bangalore, India; Khan F.A., Ghousia College of Engineering, Ramanagaram, India</text>
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