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                <text>Comparative study of Breakdown Phenomena and Viscosity in Liquid Dielectrics</text>
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                <text>BDV (breakdown voltage); Breakdown strength; HV (high voltage); Vegetable oil</text>
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                <text>Liquid dielectrics are extensively used in electrical apparatus which are operating in distribution and transmission systems. The function of electrical equipment strongly depends on the conditions of liquid dielectric. Liquid dielectrics used are the most expensive components in power system apparatus like transformers and circuit breakers. A failure of these equipment would causes a heavy loss to the electrical industry and also utilities. Insulation failures are the leading cause of transformer failures and thus the liquid dielectrics plays a major role in the safe operation of transformers. One of the main causes for the failure of transformers is due to the presence of moisture. In this work, the life of insulating medium is estimated by comparing the Breakdown strength and Viscosity of different pure oils with that of the contaminated oils (which contains moisture) and also finding the alternative for mineral oil. vegetable oils which are reliable, cost-effective and environmental friendly even when they are contaminated.  2019 IEEE.</text>
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                <text>Srinivasa D.M.; Surendra U.</text>
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                <text>2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/i-PACT44901.2019.8960134" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/i-PACT44901.2019.8960134&lt;/a&gt;
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                <text>ISBN: 978-153868190-9</text>
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                <text>Srinivasa D.M., PESCE, EE Department, Karnataka, Mandya, India; Surendra U., Christ (Deemed to Be University), EE Department, Karnataka, Bangalore, India</text>
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                <text>Inphase and outphase concentration modulation on the onset of magneto-convection and mass transfer in weak electrically conducting micropolar fluids</text>
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                <text>Concentration Modulation; Linear Stability; Lorenz Model; Magnetic Field; Micropolar Fluid; Sherwood Number; Solute Convection</text>
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                <text>The paper analyses the effect of concentration modulation at the onset of solute magneto-convection and heat transfer in a weak electrically conducting fluid by carrying out a linear and non-linear analysis. The Venezian approach is assented encompassing the correction Solute Rayleigh number and wave numbers for meagre amplitude concentration modulation. A multiscale method is applied to convert the analytically untraceable Lorenz model to an analytically traceable Ginzburg-Landau equation which is solved to quantify mass transfer through Sherwood number. It is observed that concentration modulation results in sub-critical motion however out-of-phase concentration modulation is more stable compare to others.  2019 Author(s).</text>
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                <text>Mathew A.; Jagannath M.; Pranesh S.</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="186379">
                <text>AIP Conference Proceedings, Vol-2080</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="186380">
                <text>American Institute of Physics Inc.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1063/1.5092915" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/1.5092915&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063268968&amp;amp;doi=10.1063%2F1.5092915&amp;amp;partnerID=40&amp;amp;md5=58fad5804637270db49865f32b1a7f11" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063268968&amp;amp;doi=10.1063%2f1.5092915&amp;amp;partnerID=40&amp;amp;md5=58fad5804637270db49865f32b1a7f11&lt;/a&gt;</text>
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                <text>ISSN: 0094243X; ISBN: 978-073541810-3</text>
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                <text>English</text>
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                <text>Mathew A., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560029, India; Jagannath M., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560029, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560029, India</text>
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                <text>A Deterministic Key-Frame Indexing and Selection for Surveillance Video Summarization</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186390">
                <text>Adaptive threshold; Similarity index; Surveillance video Summarization</text>
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                <text>Video data is voluminous and impacts the data storage devices as there are CCTV surveillance videos being created every minute and stored continuously. Due to this increase in data there is a need to create semantic information out of the frames that are being stored. Video Summarization is a process that continuously monitors changes and helps in reducing the number of frames being stored. This work enables summarization to be carried out based on selecting threshold-based system that can select key-frames ideally suit for storage and further analysis. Initially a Global threshold based on Otsus method is carried out for all frames of a surveillance video and based on the set threshold a retrospective comparison is done on each frame based on statistical methods to converge on determining the keyframes. A similarity index is generated based on the iterative comparison of frames based on global and local threshold comparison. The local threshold is indexed based on Analysing Method Patterns to Locate Errors(AMPLE), An-derbergs D(AbD), Cohens Kappa(CK), Tanimoto Similarity(TS), Tversky feature contrast model(TFCM), Pearson coefficient of mean square contingency(Pmsc). The Global threshold is updated each time a keyframe is selected based on the comparison of local and global threshold. The results are compared with five surveillance videos and six methods to identify keyframes Selection Rate is the metric used for calculating the performance.  2019 IEEE.</text>
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                <text>Moses T.M.; Balachandran K.</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>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/IconDSC.2019.8816901" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IconDSC.2019.8816901&lt;/a&gt;
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                <text>ISBN: 978-153869319-3</text>
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                <text>English</text>
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                <text>Moses T.M., CHRIST, Deemed to be University, Bengaluru, India; Balachandran K., CHRIST, Deemed to be University, Bengaluru, India</text>
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                <text>Non invasive methods of blood glucose measurement: Survey, challenges, scope</text>
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                <text>Image Processing; Microcontroller; NIR photo acoustic; Pulse photometric</text>
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                <text>Noninvasive body parameters monitoring and disease detection is one of the emerging research area now a days. In this paper a review on Non-invasive methods of blood glucose measurement has been made. A comparative study has been made which describes the methodology incorporated in the published literatures, research challenges and the used tools. This paper also describes about the factors which highly impacts the non-invasive measurement. Finally, a deep learning based noninvasive measurement method compatible with IOT is mentioned. This paper serves as a proper reference for future researchers working in non-invasive blood glucose measurement domain in selecting appropriate non-invasive method algorithm for glucose monitoring non-invasively.  2019 Bharati Vidyapeeth, New Delhi. Copy Right in Bulk will be transferred to IEEE by Bharati Vidyapeeth.</text>
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                <text>Divyabharati O.; Sundar A.; Jethwani G.; Mukherjee C.</text>
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                <text>Web page prediction is the area of interest that enables to tackle the problem of dealing with the massive collection of the web pages, mainly, in retrieving the highly relevant web pages. The hectic challenge of the web page prediction methods relied on time-effective and cost-effective management. The problem of dealing with the issue is tackled using the efficient web page retrieval algorithm. The paper proposes a new classifier called, Laplacian probability based Extended Nearest Neighbor (LENN)that is formed through the integration of the Laplacian probability with the Extended Nearest Neighbor (ENN)classifier. The proposed LENN classifier determines the nearest web pages of the query. Accordingly, the web page retrieval is done in three important steps, such as pre-processing, feature indexing and web page retrieval. The key words are stored in the database for performing the feature match such that the highly relevant web page is retrieved based on the maximum value of the score. The experimentation using five benchmarks prove that the proposed method is effective compared with the existing methods of web page retrieval. The maximum precision, recall, and F-measure of the proposed method is found to be 98%, 96.7%, and 97.3%, respectively.  2019 IEEE.</text>
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                <text>Vijaya P., Waljat College of Applied Sciences, Muscat, Oman; Chander S., Waljat College of Applied Sciences, Muscat, Oman; Raju G., Department of CSE, Faculty of Engineering, Christ, Deemed to be University, Bengaluru, Karnataka, India</text>
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                <text>Madgi M., Dept. of Computer Science and Engg., K. L. E. Institute of Technology, Hubballi, India; Danti A., Dept. of Computer Science and Engg., Christ, Deemed to be University, Bengaluru, India; Anami B., K. L. E. Institute of Technology, Hubballi, India</text>
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                <text>Impact of Variable Distributed Generation on Distribution System Voltage Stability</text>
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                <text>Distributed Generation; Load Models; Loss Sensitivity factor; PSO; Voltage Stability Index</text>
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                <text>With advances in renewable energy (RE)technologies and the promotion of restructuring, distributed energy (DG)sources play a vital role in today's power sector. From the technical and economic point of view, DG sources provide a no of benefits such as lesser system losses, better system voltage profile and lower line congestion. The aim of this work is to determine the voltage stability of a distribution system at different levels of DG compensation determined as a percentage of the total load on the system. The objective function is formulated to minimize the real power loss. At first, the locations are chosen based on strategy using Loss Sensitivity Factors (LSF)and the optimal sizing of multiple units of DG sources is optimized using Particle Swarm Optimization (PSO)algorithm. The simulations are performed on standard IEEE 33-bus and 69-bus test systems and the results validate the importance of placing appropriately sized DG sources at suitable locations to achieve improved voltage stability and reduced distribution losses.  2019 IEEE.</text>
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                <text>John N.; Janamala V.; Rodrigues J.</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>&lt;a href="https://doi.org/10.1109/IconDSC.2019.8817028" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IconDSC.2019.8817028&lt;/a&gt;
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                <text>ISBN: 978-153869319-3</text>
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                <text>John N., Dept. of Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India; Janamala V., Dept. of Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India; Rodrigues J., Dept. of Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India</text>
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  <item itemId="20784" public="1" featured="0">
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                <text>Universal Electrical Motor Acoustic Noise Reduction based on Rotor Surface Modification</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="186474">
                <text>Acoustic noise; Decibels; Electromagnetic flux; Electromagnetic noise; Flux density; Torque</text>
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                <text>Electromagnetic noise is referred to the audible sound which is produced by materials vibrating due to electromagnetic force. In the present day circumstances, a greater attention is being given to the electromagnetic acoustic noise produced by electrical machines. It is found to annoy human beings and other living organisms due to its tonal sound. The current work aims at designing a rotor for a universal motor with the objective to decrease the acoustic noise by minimization of forced density harmonics. The design consists of some irregularities in the rotor surface to decrease the acoustic noise by internally modifying the air gap permeance. Simulation shall be carried out based on FEM. A lot of research is being carried out on the methods of reducing the noise from electrical machines. The results of the current work significantly help in reducing a lot of noise pollution. The change in the rotor surface will reduce the electromagnetic acoustic noise from the electrical machine. It will also affect the torque parameters positively as studied from earlier research work.  2019 IEEE.</text>
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              <elementText elementTextId="186476">
                <text>Umesh V.; Mishra S.; Simon S.; Singh A.K.; Moses P.</text>
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              <elementText elementTextId="186477">
                <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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              <elementText elementTextId="186478">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <name>Date</name>
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              <elementText elementTextId="186479">
                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/IconDSC.2019.8817005" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IconDSC.2019.8817005&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072765159&amp;amp;doi=10.1109%2FIconDSC.2019.8817005&amp;amp;partnerID=40&amp;amp;md5=9593063a48e7fc8ec54da283160eb648" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072765159&amp;amp;doi=10.1109%2fIconDSC.2019.8817005&amp;amp;partnerID=40&amp;amp;md5=9593063a48e7fc8ec54da283160eb648&lt;/a&gt;</text>
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              <elementText elementTextId="186481">
                <text>Restricted Access</text>
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                <text>ISBN: 978-153869319-3</text>
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                <text>Online</text>
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                <text>English</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Umesh V., Mechanical Engineering, Faculty of Engineering, CHRIST, Deemed to be University, Bengaluru, Karnataka, 560074, India; Mishra S., Mechanical Engineering, Faculty of Engineering, CHRIST, Deemed to be University, Bengaluru, Karnataka, 560074, India; Simon S., Mechanical Engineering, Faculty of Engineering, CHRIST, Deemed to be University, Bengaluru, Karnataka, 560074, India; Singh A.K., Mechanical Engineering, Faculty of Engineering, CHRIST, Deemed to be University, Bengaluru, Karnataka, 560074, India; Moses P., Mechanical Engineering, Faculty of Engineering, CHRIST, Deemed to be University, Bengaluru, Karnataka, 560074, India</text>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="51377">
                  <text>Conference Papers</text>
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              </elementTextContainer>
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      <name>Conference Paper</name>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186487">
                <text>A fuzzy computing software quality model</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186488">
                <text>Expectation of the quality of a software varies from user to user. A fuzzy approach to measure the quality of a software is very appropriate so that it can deal with non-crisp aspects of the various parameters. In the proposed model, ordered intuitionistic fuzzy soft sets (OIFSS) and relative similarity measures of OIFSS are considered in the backdrop of fuzzy multiple criteria decision making (FMCDM) approach.  2019 Author(s).</text>
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              <elementText elementTextId="186489">
                <text>Kalayathankal S.J.; Abraham J.T.; Kureethara J.V.</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="186490">
                <text>AIP Conference Proceedings, Vol-2080</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="186491">
                <text>American Institute of Physics Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1063/1.5092932" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/1.5092932&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063270474&amp;amp;doi=10.1063%2F1.5092932&amp;amp;partnerID=40&amp;amp;md5=75a02680e49862ffe8c5c480b81a82c1" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063270474&amp;amp;doi=10.1063%2f1.5092932&amp;amp;partnerID=40&amp;amp;md5=75a02680e49862ffe8c5c480b81a82c1&lt;/a&gt;</text>
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              <elementText elementTextId="186494">
                <text>Restricted Access</text>
              </elementText>
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                <text>ISSN: 0094243X; ISBN: 978-073541810-3</text>
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            <name>Format</name>
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                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="186497">
                <text>English</text>
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            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="186498">
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="186499">
                <text>Kalayathankal S.J., R and D Centre, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India, Kuriakose Elias College, Mannanam, Kerala, 686561, India; Abraham J.T., Bharatha Matha College, Cochin, Kerala, 682021, India; Kureethara J.V., CHRIST (Deemed to Be Univeristy), Bengaluru, Karnataka, 560029, India</text>
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            <element elementId="50">
              <name>Title</name>
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      <name>Conference Paper</name>
      <description>Faculty Publications- Conference Papers</description>
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      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186500">
                <text>Sentiment Analysis on Time-Series Data Using Weight Priority Method on Deep Learning</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186501">
                <text>Deep learning; Natural Language Processing; Polarity Identification; Sentiment Analysis; Time-series data; Weight priority</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186502">
                <text>Sentiment Analysis (SA)is the process to gain an overview of the public opinion on certain topics and it is useful in commerce and social media. The preference on certain topics can be varied on different time periods. To analyze the sentiments on topics in different time periods, priority weight based deep learning approaches like Convolutional-Long Short-Term Memory (C-LSTM)and Stacked- Long Short-Term Memory (S-LSTM)is explored and analyzed in this research. The research method focuses on three phases. In the first phase text data (review given by the customers on various products)is collected from social networking e-commerce site and temporal ordering is done. In the second phase, different deep learning models are created and trained with different time-series data. In the final phase the weights are assigned based on temporal aspect of the data collected. For the obtained results verification and validation processes are carried out. Precision and recall measures are computed. Results obtained shows better performance in terms of classification accuracy and F1-score.  2019 IEEE.</text>
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            <name>Creator</name>
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              <elementText elementTextId="186503">
                <text>Yeo I.; Balachandran K.</text>
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              <elementText elementTextId="186504">
                <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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              <elementText elementTextId="186505">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <elementText elementTextId="186506">
                <text>2019-01-01</text>
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                <text>Yeo I., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Balachandran K., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India</text>
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                <text>The effect of concentration modulation and magnetic field in a couple stress fluid with porous medium and salted from above is studied using linear and non-linear analysis. Venezian approach based on perturbation method is used to obtain the expression for solute Rayleigh number and correction solute Rayleigh number. The expression for correction solute Rayleigh number is obtained as a function of couple stress parameter, Chandrashekar number, Darcy number and Schmidt number. The effect of parameters on symmetric and asymmetric concentration modulation are discussed in the paper. A non-autonomous Ginzburg-Landau equation with time periodic co-efficient is obtained to study the effect of parameters on mass transfer. It is found that onset of convection and mass transfer can be delayed or advanced by varying the parameters of the problem. Asymmetric modulation is found to be more stable than the symmetric modulation.  2019 Author(s).</text>
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                <text>Kunnegowda T.; Pranesh S.</text>
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                <text>AIP Conference Proceedings, Vol-2080</text>
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                <text>ISSN: 0094243X; ISBN: 978-073541810-3</text>
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                <text>Kunnegowda T., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India</text>
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                <text>An Efficient HOG-Centroid Descriptor for Human Gait Recognition</text>
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                <text>Centroid; Descriptor; Feature fusion; Gait; HOG; Silhouette</text>
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                <text>Automatic recognition of human gait have gained much attention nowadays. Histogram of Oriented Gradient (HOG) is a widely adopted descriptor for object's shape analysis. In this paper, combination of HOG descriptor with silhouette centroid for human gait recognition is proposed. The resultant descriptor, namely HOG-Centroid, achieves better recognition performance on comparison with HOG descriptor individually as well as other existing gait recognition methods. Experiments are carried out with CASIA gait dataset B and cumulative matching scores of 95.3%, 98.1% and 99.2% are obtained for rank 1, rank 5 and rank 10 respectively.  2019 IEEE.</text>
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                <text>Sugandhi K.; Raju G.</text>
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                <text>Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, pp. 355-360.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-153869346-9</text>
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            <name>Format</name>
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                <text>Sugandhi K., Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India; Raju G., Department of CSE, Christ (Deemed to Be University), Bengaluru, Karnataka, 560764, India</text>
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                <text>A Dual Step Strategy for Retinal Thin Vessel Enhancement/Extraction</text>
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            <name>Subject</name>
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              <elementText elementTextId="186542">
                <text>Blood Vessel; CLAHE; Eye Fundus; FHBE; Fusion; Image Enhancement; Vessel Extraction</text>
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            <description>An account of the resource</description>
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                <text>Blood vessel extraction from retinal images is a challenging and fundamental step in pathological analysis. Most of the vessel extraction algorithms face difficulty in the extraction of thin vessels. In this paper, a dual step strategy for retinal thin vessel enhancement/extraction is proposed. Since thin vessel pixels have intensities closer to the background non-vessel pixels, the first level enhancement algorithms usually suffers in its accurate extraction. This led to explore a novel idea of eliminating the effects of thick vessel pixels in a reference image, via replacing it with neighboring non-vessel pixels. By applying second level enhancement on the vessel subtracted image, thin vessels are projected and improvement in extraction is attained subjectively as well as objectively.  2019 IEEE.</text>
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              <elementText elementTextId="186544">
                <text>Wahid F.F.; Raju G.</text>
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            <elementTextContainer>
              <elementText elementTextId="186545">
                <text>Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, pp. 666-671.</text>
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              <elementText elementTextId="186546">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-153869346-9</text>
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                <text>Wahid F.F., Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India; Raju G., Department of CSE, Christ (Deemed to Be University), Bengaluru, Karnataka, 560764, India</text>
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                <text>Fuzzy based Controller for Bi-Directional Power Flow Regulation for Integration of Electric Vehicles to PV based DC Micro-Grid</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186556">
                <text>Active power flow control; DER; Fuzzy Logic; G2V; Micro-grid; V2G</text>
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            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186557">
                <text>Utilization of Electric Vehicle as an auxiliary power source to a DC micro-grid for active power regulation is examined here. This paper focus on development of a Fuzzy based controller capable of regulating the bi-directional active power flow between a 10 kW DC Micro-grid and an Electric Vehicle. The system enables to balance the load on grid by performing peak shaving during peak hours and valley filling during off-peak hours. The load curve of Bangalore city for a typical day was taken as the reference and was used to implement the power flow control. The DC grid was designed for a 10 kW PV based micro-grid. The integrated DC micro-grid was simulated on MATLAB/Simulink platform and the obtained characteristics demonstrate that the power flow from grid to vehicle and vehicle to grid during the peak and off-peak periods respectively. The auxiliary battery pack was stressed only to 10.7 % of its 1C-rating leaving scopes for higher level power transmission possible between the systems.  2019 IEEE.</text>
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            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="186558">
                <text>Jose C.P.; Haneesh K.M.</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="186559">
                <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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            <elementTextContainer>
              <elementText elementTextId="186560">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-153869319-3</text>
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                <text>Jose C.P., Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India; Haneesh K.M., Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India</text>
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          <element elementId="50">
            <name>Title</name>
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            <elementTextContainer>
              <elementText elementTextId="186569">
                <text>Securing Provenance Data with Secret Sharing Mechanism: Model Perspective</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186570">
                <text>Data Lineage; Provenance; Secret Sharing; Shares; Visual Encryption</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186571">
                <text>Elicitation about the genesis of an entity is referred to as provenance. With regards to data objects and their relationships the same is termed as data provenance. In majority of the instances, provenance data is sensitive and a small variation or adjustment leads to change in the entire chain of the data connected. This genesis needed to be secured and access is granted for authorized party. Individual control in preserving the privacy of data is common scenario and there are a good number of approaches with respect to cryptography. We propose a unique model, wherein the control of the data is available with multiple bodies however not with one; and when an access has to be granted for a genuine purpose, all the bodies holding their share will have to agree on a common platform. Combining these shares in a peculiar pattern allows the grant for accessing data. The method of allocating control to multiple bodies and allowing grant based on combining stakes is called as secret sharing mechanism. Division of the shares can be drawn from visual encryption approach. It provides transparencies for a given input message. This paper throws light on a framework associated to securing provenance via secret sharing security notion.  2019 IEEE.</text>
              </elementText>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186572">
                <text>Kumar K.P.; Cherukuri R.C.</text>
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            <name>Source</name>
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            <elementTextContainer>
              <elementText elementTextId="186573">
                <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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              <elementText elementTextId="186574">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186575">
                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/IconDSC.2019.8816978" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IconDSC.2019.8816978&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072786138&amp;amp;doi=10.1109%2FIconDSC.2019.8816978&amp;amp;partnerID=40&amp;amp;md5=a532be6e7642d08d59c39016a7a51ad9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072786138&amp;amp;doi=10.1109%2fIconDSC.2019.8816978&amp;amp;partnerID=40&amp;amp;md5=a532be6e7642d08d59c39016a7a51ad9&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186577">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="186578">
                <text>ISBN: 978-153869319-3</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="186580">
                <text>English</text>
              </elementText>
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          </element>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>Conference paper</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="186582">
                <text>Kumar K.P., Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Cherukuri R.C., Electronics and Communication Engineering, Nova College of Engineering and Technology, Vijayawada, Andhra Pradesh, India</text>
              </elementText>
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  <item itemId="20792" public="1" featured="0">
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="51377">
                  <text>Conference Papers</text>
                </elementText>
              </elementTextContainer>
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    <itemType itemTypeId="28">
      <name>Conference Paper</name>
      <description>Faculty Publications- Conference Papers</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186583">
                <text>A Comparative Study of Spectral Indices for Surface Water Delineation Using Landsat 8 Images</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186584">
                <text>AWEI; EWI; GWI; MNDWI; NDFI; NDVI; NDWI; spectral index; Sum457; Surface water delineation; TCW; WNDWI; WRI</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186585">
                <text>Surface water delineation is an important step in performing change detection studies on water bodies with the help of multispectral images. Commonly used techniques for surface water delineation from multispectral images are single band density slicing, spectral index based, machine learning based classification and spectral unmixing based methods. This paper presents a comparative study of commonly used spectral indices Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Water Ratio Index (WRI), Normalized Difference Forest Index (NDFI), Enhanced water Index (EWI), Weighted Normalized Difference Water Index (WNDWI), Automated Water Extraction Index (AWEI), Tasseled Cap Water Index (TCW), Global Water Index (GWI)and Sum457 that were developed for water detection for their suitability and effectiveness when applied on Landsat 8 images. While all the above mentioned indices showed their usefulness in water detection, simpler and faster indices like GWI and Sum457 yielded comparable results to that of more complex ratios like EWI and WNDWI.  2019 IEEE.</text>
              </elementText>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186586">
                <text>Tv B.; Kn N.</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="186587">
                <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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            </elementTextContainer>
          </element>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="186588">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            </elementTextContainer>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186589">
                <text>2019-01-01</text>
              </elementText>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="186590">
                <text>&lt;a href="https://doi.org/10.1109/IconDSC.2019.8816929" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IconDSC.2019.8816929&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072783542&amp;amp;doi=10.1109%2FIconDSC.2019.8816929&amp;amp;partnerID=40&amp;amp;md5=b91f976215b75a0ed959a845d02968d7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072783542&amp;amp;doi=10.1109%2fIconDSC.2019.8816929&amp;amp;partnerID=40&amp;amp;md5=b91f976215b75a0ed959a845d02968d7&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186591">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="186592">
                <text>ISBN: 978-153869319-3</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="186593">
                <text>Online</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186594">
                <text>English</text>
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          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>Conference paper</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="186596">
                <text>Tv B., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Kn N., Dept. of Civil Engineering, CHRIST, Deemed to be University, Bangalore, India</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="51377">
                  <text>Conference Papers</text>
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      <name>Conference Paper</name>
      <description>Faculty Publications- Conference Papers</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186597">
                <text>Experimental study of solar dryer used for drying chilly and ginger</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186598">
                <text>Open air solar drying is one of the most popular methods for drying food products holds many drawbacks resulting in contamination of food products. This project is to transform the traditional method to an innovative, clean and cost-effective method to dry chilly and ginger, two being the top export commodity of India. Here a solar dryer is made which comprised of flat plate air heater, a chamber for drying and an air blower which induces forced convection. This system enhances the drying process even at low-intensity sunlight by assimilating heat storage materials. The equipment was tested in the meteorologicalcondition of the faculty of engineering, Christ (Deemed to be University) (latitude of 12.86N, a longitude of 77.43E) Bangalore, Karnataka. The process has reduced the moisture content from around 72.69% to 28.24% in the case of chilly and from 68.88% to 14.31% in the case of ginger within a period of 10 hours for a mass flow rate of 0.051kg/s. Average drier efficiency was estimated to be about 22%. The specific moisture extraction rate was estimated to be about 0.76 kg/kWh. This process resulted in a better moisture extraction rate, eliminating the defects caused by open sun drying. This process resulted in a better moisture extraction rate, eliminating the defects caused by open sun drying.  2019 Author(s).</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186599">
                <text>Rajashekaraiah T.; Bedi R.; Francis F.; Johny J.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="186600">
                <text>AIP Conference Proceedings, Vol-2080</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="186601">
                <text>American Institute of Physics Inc.</text>
              </elementText>
            </elementTextContainer>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186602">
                <text>2019-01-01</text>
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            </elementTextContainer>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
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                <text>Rajashekaraiah T., Faculty of Engineering, Christ (Deemed to Be University), Bengaluru, Karnataka, 560074, India; Bedi R., Faculty of Engineering, Christ (Deemed to Be University), Bengaluru, Karnataka, 560074, India; Francis F., Faculty of Engineering, Christ (Deemed to Be University), Bengaluru, Karnataka, 560074, India; Johny J., Faculty of Engineering, Christ (Deemed to Be University), Bengaluru, Karnataka, 560074, India</text>
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                <text>Until recent years, monitoring and analysing system inputs, responses were merely based on Sensor Systems. Gradually, Embedded Systems and other Data Resources including Remote Monitoring Units started gaining momentum. But, with advent of Internet of Things (IoT), the outlook and expectations are broadened. IoT introduced incredible volumes of structured and unstructured data of different formats. There is a need to investigate, the underlying concepts of Machine Learning, Internet of Things (IoT) and Embedded Systems. These domains grow and expand its frontiers at a very fast pace. This paper attempts to throw light on possibilities of combining different technological domains, for design and development of Smarter and Context Aware Intelligent Electronics Systems for Societal Utility. Effective implementation and realization of such systems by suitable fusion of essential inter-disciplinary concepts is expected to have considerable potential for societal impact in the years to come.  2019 IEEE.</text>
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                <text>Indu K., Department of Electronics and Communication Engineering, Christ, Deemed to be University, Bangalore, India; Aswatha K.M., Department of Electronics and Communication Engineering, Christ, Deemed to be University, Bangalore, India</text>
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                <text>In this paper, we characterize interval - valued fuzzy bridges and interval-valued fuzzy cutnodes in terms of ? strong arcs. We discuss about the behaviour of arcs in a strongest path of an interval - valued fuzzy graph. An example is provided to prove that strongest paths are not in general related to strong paths in an interval - valued fuzzy graph. Finally we give a particular condition under which strong paths and strongest paths are equivalent.  2019 Author(s).</text>
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                <text>Philip A.M., Assumption College, Changanacherry, Kerala, India; Kalayathankal S.J., Kuriakose Elias College, Mannanam, Kerala, India; Kureethara J.V., CHRIST (Deemed to Be University), Bangalore, Karnataka, India</text>
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