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                <text>A Study of Segmentation Techniques to Detect Leukaemia in Microscopic Blood Smear Images</text>
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                <text>Active contour; Acute lymphoblastic Leukemia; Artificial neural network; Fuzzy c-mean; Image segmentation; k-means; Region growing; Thresholding; watershed</text>
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                <text>In medical image processing, the segmentation of the image is considered to be a vital stage and is effectively used to extract the region of interest. Automated diagnosis of leukaemia is highly associated with the accurate segmentation of the cell nucleus. The purpose of this paper is to review and analyze literature related to some of the major segmentation techniques used in the field of Acute lymphoblastic leukaemia (ALL) detection. This paper presents an overview of segmentation methods along with the experimental results of six implemented methods and highlights some of the advantages and disadvantages of implemented segmentation techniques.  2020 IEEE.</text>
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                <text>Patil A.P.</text>
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                <text>Proceedings of the 2020 IEEE International Conference on Communication, Computing and Industry 4.0, C2I4 2020</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Patil A.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India, Department of Computer Application, CMR Institute of Technology, Bengaluru, India</text>
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                <text>The effect of non-thermal argon plasma treatment on material properties and photo-catalytic behavior of TiO2 nanoparticles</text>
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                <text>In this paper, a brief study on the effect of non-thermal plasma generated with argon carrier on material properties and photo-catalytic reduction behavior of TiO2 is presented. Commercially available TiO2 nanoparticles (20 nm size) were subjected to Ar cold plasma at different time durations. Then the plasma treated materials were explored for chemical reduction of carbon dioxide (CO2) into methane (CH4) using sunlight as photo-irradiation source. The results show that the non-thermal plasma affects the material properties of TiO2 such as UV-visible absorption, XRD patterns and Raman scattering significantly and also the enhancement of CH4 yields in CO2photo-chemical reduction.  2020 American Institute of Physics Inc.. All rights reserved.</text>
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                <text>Abhinima K.; Dey G.R.</text>
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                <text>AIP Conference Proceedings, Vol-2265</text>
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                <text>American Institute of Physics Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1063/5.0017270" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0017270&lt;/a&gt;
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                <text>ISSN: 0094243X; ISBN: 978-073542025-0</text>
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                <text>Abhinima K., Summer Internship from Christ (Deemed to be University), Bengaluru, 560029, India; Dey G.R., Radiation and Photochemistry Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India</text>
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                <text>Accuracy Enhancement of Portrait Segmentation by Ensembling Deep Learning Models</text>
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          <element elementId="49">
            <name>Subject</name>
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                <text>Deep Learning; Ensemble Method; Portrait Segmentation; Simple Soft Voting; Weighted Soft Voting</text>
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                <text>Portrait segmentation is widely used as a preprocessing step in multiple applications. The accuracy of portrait segmentation models indicates its reliability. In recent times, portrait segmentation using deep learning models have achieved significant success in performance and accuracy. However, these portrait segmentation models are limited to a single model. In this paper, we propose ensemble approach using multiple portrait segmentation models to improve the segmentation accuracy. The result of experiment shows that the proposed ensemble approach produces better accuracy than individual models. Accuracy of single models and proposed ensemble approach were compared with Intersection over Union (IoU) metric and false prediction rate to evaluate the accuracy performance. The result shows reduced false negative rate and false discovery rate, this reduction in false prediction has enabled ensemble approach to produce segmented images with optimized error and improved result of segmentation in portrait area of human body than individual portrait segmentation models   2020 IEEE.</text>
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                <text>Kim Y.W.; Innila Rose J.; Krishna A.V.N.</text>
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                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 59-64.</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/ICRCICN50933.2020.9296196" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRCICN50933.2020.9296196&lt;/a&gt;
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                <text>ISBN: 978-172818818-8</text>
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                <text>Kim Y.W., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Innila Rose J., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Krishna A.V.N., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India</text>
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                <text>Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data</text>
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                <text>Artificial Neural Network (ANN); Association Rule mining (ARM); Autism; Constraint Governed Association Rule Mining (CGARM); Dimensionality reduction; Machine Learning; SNP</text>
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                <text>Autism is a heterogeneous neuro developmental disorder found among all age groups. Nowadays more patients are detected with autism but very less awareness is prevailing in the society related to it. This paved a way for many researchers to carry out serious study on autism and its characteristics. Studying behavior and characteristics of Autistic patients is very important for diagnosing the level of autism. Classifying the association of different characteristic in autistic patients at gene level using machine learning techniques can give an important insight to the doctors and the care takers of the patients. Research is being carried out to identify the genes responsible for autism. The changes in gene sequence may lead to different characteristics in different people. Thus genotypic research is found to reveal well defined insight about various characteristics in autistic patients and their associations with genes. Single Nucleotide Polymorphism (SNP) being high in features indicate human genome variability and is associated with identification of traits for many human diseases including autism. The main aim of the proposed work is to identify SNP sequences which are responsible for carrying the autistic traits. This paper explore the application of Constraint Governed Association Rule Mining (CGARM) technique on SNP data for dimensionality reduction and thereby selecting the strong predominant SNP features which are relevant enough to accomplish classification with high accuracy. The research work incorporates the application of CGARM and is carried out in two stages. In the first stage CGARM was used to choose significant SNP features resulting in dimensionality reduction. In the second stage classification was carried out by subjecting the selected features to Artificial Neural Network (ANN) algorithm. The main advantage of the proposed work is its ability to reduce the dimensions without compromising the quality i.e. using CGARM strong SNPs were selected by applying various constraints like Syntactical constraints, Semantical constraints and Dimensionality Constraints resulting in higher accuracy. The CGARM technique is applied on Autism data collected from National Center for Biotechnology Information (NCBI) repository. The data is divided into a set of 118 features, out of 118 features CGARM contributed in identifying 22 predominant SNPs. Further by applying forward selection method top 17 features were selected and were given as input to ANN. The 10 fold cross validation resulted in 76.9% accuracy which was found to be 50% more than that of original features. The proposed work contributed in reducing the dimension by 85% and provided 76.9% accuracy with the help of only 15% features.  2020 IEEE.</text>
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                <text>The fact to this day remains true and the same for over a hundred years the Automobile industry and vehicles, in general, have become the pivoting point in our day to day lives. We might as well call it a necessary evil. Although it is very true that they have made our lives more convenient when we speak in terms of transportation; the pollution that conventional IC engine vehicles produce hasn't done much to create a cleaner environment especially with Global warming on the rise as we speak. The simplest remedy would be is to replace IC engine vehicles with Electric one, EV. A Problem common to both conventional IC engine vehicles and EV's alike is the accidents occurring due to collision caused by human error on-road. While safety measures have greatly been taken in order to reduce the damage done to the driver and passengers in the event of a collision it would be far better to avoid the collision altogether. Thus having at least, a Level-1 Autonomous Vehicles capability where the system alerts the driver in the event of a crash or collision and deploy full braking capability. Thanks to increasing urbanization and the advent of modern technology the need of the hour of the 21st century has given rise to high demands for employment in the motorized transport sectors. The authors were successfully able to design, analyze and fabricate an EV with Level-1 Autonomous Vehicles capability. The successful implementation of this project will help in reducing not only pollution and accidents occurring on-road due to vehicle collision but also pave paths in alimenting Level-1 Autonomous Vehicles capability in EV's inexpensively.   2020 Author(s).</text>
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                <text>Gomes S.A., Department of Mechanical and Automobile Engineering, Christ (Deemed to Be University), Bengaluru, India; Peter R.C., Department of Computer Science Engineering, Christ (Deemed to Be University), Bengaluru, India; Rao A.S., Department of Computer Science Engineering, Christ (Deemed to Be University), Bengaluru, India; Ghosh S., Department of Mechanical and Automobile Engineering, Christ (Deemed to Be University), Bengaluru, India; Khan D.M., Department of Mechanical and Automobile Engineering, Christ (Deemed to Be University), Bengaluru, India</text>
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                <text>Comparison of Gradient Boosting and Extreme Boosting Ensemble Methods for Webpage Classification</text>
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                <text>Extreme Gradient Boosting; Gradient Tree Boosting; Web page classification; Web scraping</text>
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                <text>Web page classification is an important task in various areas like web content filtering, contextual advertising and maintaining or expanding web directories etc. Machine Learning methods have been found to perform well to classify web pages, and ensemble models have been used to improve the results obtained from single classifiers. The Gradient Boosting and Extreme Boosting ensemble models are used in this work for binary classification. The dataset containing URLs of web pages have been collected manually. The comparison between the two boosting algorithms validated the improvement in accuracy and speed obtained through Extreme boosting. Extreme boosting has been found to be around ten times faster than Gradient boosting and also shows improvement in accuracy. The effect of three preprocessing techniques; lemmatization, stop words removal and regular expressions shows that these preprocessing techniques improves the accuracy of the results but not significantly.  2020 IEEE.</text>
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                <text>Dutta J.; Kim Y.W.; Dominic D.</text>
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                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 77-82.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-172818818-8</text>
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                <text>Dutta J., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Kim Y.W., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Dominic D., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India</text>
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                <text>A Study and Analysis on Various Types of Agricultural Drones and its Applications</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Drones; Overflight; Sensors; UAV; VTOL</text>
              </elementText>
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                <text>Drones are considered to be the greatest invention of mankind. Drones can be used in many areas widely. Drones can also be used in agriculture and it is called as unnamed aerial vehicles (UAV). In the traditional agriculture methods land vehicles are used to monitor various activities of the agriculture, this was consuming lot of human effort and time. Using drones in agriculture is more beneficial than using traditional methods for the activities. Usage of drones in agriculture provides a huge benefit in terms of economy and time due to their most astonishing features. In recent years many surveys have proved that drones can cover almost 10 to 15 times of the area which can be covered with traditional land based techniques. Drones can be controlled by computers according to their capacities, that is drones can be automated over some range of area, locating remote area, and even can be semi-automated. Drones can be efficiently used in agriculture for performing certain activities such as, studying weather conditions and variations, infection for the crops, land fertility and many more. Because of the efficiency of the drones they can be used in various activities of agriculture. In this paper, a detailed study has been made on various types of agricultural drones based on the feature, capacity, range as well as cost and the area of agriculture where they suit the most, and a statistical analysis about the usage of the drones in the field of agriculture.  2020 IEEE.</text>
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                <text>Dileep M.R.; Navaneeth A.V.; Ullagaddi S.; Danti A.</text>
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                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 181-185.</text>
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              <elementText elementTextId="184825">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-172818818-8</text>
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                <text>Dileep M.R., Nitte Meenakshi Institute of Technology, Department of Master of Computer Applications, Bengaluru, India; Navaneeth A.V., Nitte Meenakshi Institute of Technology, Department of Master of Computer Applications, Bengaluru, India; Ullagaddi S., Nitte Meenakshi Institute of Technology, Department of Master of Computer Applications, Bengaluru, India; Danti A., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India</text>
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                <text>Transparent Data Encryption: Comparative Analysis and Performance Evaluation of Oracle Databases</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="184835">
                <text>Cons of Encryption; Cyber-Attack; DBA; TDE</text>
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                <text>This Transparent Data Encryption (TDE) can provide enormous benefits to the Relational Databases in the aspects of Data Security, Cryptographic Encryption, and Compliances. For every transaction, the stored data must be decrypted before applying the updates as well as should be encrypted before permanently storing back at the storage level. By adding this extra functionality to the database, the general thinking denotes that the Database (DB) going to hit some performance overhead at the CPU and storage level. However, The Oracle Corporation has adversely claimed that their latest Oracle DB version 19c TDE feature can provide significant improvement in the optimization of CPU and no overhead at the storage level for data processing. Impressively, it is true. the results of this paper prove too. Most interestingly the results also revealed about highly impacted components in the servers which are not yet disclosed in any of the previous research work. This paper completely concentrates on CPU, IO, and RAM performance analysis and identifying the bottlenecks along with possible solutions.  2020 IEEE.</text>
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                <text>Natarajan K.; Shaik V.</text>
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                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 137-142.</text>
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              <elementText elementTextId="184839">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICRCICN50933.2020.9296168" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRCICN50933.2020.9296168&lt;/a&gt;
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                <text>ISBN: 978-172818818-8</text>
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                <text>Natarajan K., Christ Deemed to Be University, Department of Computer Science and Engineering, Karnataka, India; Shaik V., Christ Deemed to Be University, Department of Computer Science and Engineering, Karnataka, India</text>
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                <text>Review on Emerging Internet of Things Technologies to Fight the COVID-19</text>
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                <text>COVID-19; GPS; Internet of Things (IoT); Pandemic; RFID; WiFi</text>
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                <text>The Internet of Things (IoT) has been gaining attention in various disciplines ranging from agriculture, health, industries and home automation. When a pandemic first breaks out early detection, isolating the infected, and tracing the contacts are the most important challenges. IoT protocols like Radio-frequency identification (RFID), Wireless Fidelity (WiFi), Global Positioning System (GPS) are gaining popularity for providing solutions to these challenges. IoT based applications in the health sector are benefitting COVID-19 (coronavirus disease of 2019) patients during this pandemic situation. This article explores and reviews the various Internet of Things enabled technologies and applications used in screening, contact tracing, and surveillance. IoT based telemedicine processes are very useful during the pandemic COVID-19. The purpose of this paper is to deliver an overall understanding of the existing and proposed technologies of IoT based solutions to make the situations better during COVID-19.  2020 IEEE.</text>
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                <text>Manavi S.Y.; Nekkanti V.; Choudhary R.S.; Jayapandian N.</text>
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                <text>Manavi S.Y., CHRIST (Deemed to Be University), Kengeri Campus, Department of Computer Science and Engineering, Bangalore, India; Nekkanti V., CHRIST (Deemed to Be University), Kengeri Campus, Department of Computer Science and Engineering, Bangalore, India; Choudhary R.S., CHRIST (Deemed to Be University), Kengeri Campus, Department of Computer Science and Engineering, Bangalore, India; Jayapandian N., CHRIST (Deemed to Be University), Kengeri Campus, Department of Computer Science and Engineering, Bangalore, India</text>
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                <text>Study on Spray Dried Yttria Stabilized Zirconia Dental Implants</text>
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            <name>Description</name>
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                <text>Medical implants are devices, tissues or supports that are positioned in a suitable manner on any defective part of the human body to facilitate its smooth functioning again. Known as 'prosthetics', they may be used to offer support to a specific organ or tissues, distribute medication, or observe the body condition. While many of the implants are made from skin, bone or other tissues removed from the body itself, the artificial ones are made from engineering materials which could be any of the compatible metals, plastics, ceramics or even composites. The high end technologically advanced implant material is expected to withstand severe barriers and compatibility issues when in contact with the human body. One such application is dental implants, where, the materials must possess superior mechanical properties, exhibit good hydro-chemical and low thermal degradation characteristics. They are also required to possess characteristics such as low friction, strong wear resistance, good wettability and biocompatibility, when placed in the mouth. The only materials that come close to meeting the needs are ceramics, limited by the associated high fracture rate. Stabilized zirconia (stabilized with yttria, ceria etc.) has provided potential solution. Among the two stabilizers, ceria stabilized zirconia may be a better alternative to yttria stabilized zirconia. Other alternatives are alumina, apatites: but their use are constrained based upon technological and cost considerations. Implant product is a highly demanding technology. Spray drying is a suitable process methodology to obtain free flowing powders with uniform morphology and chemical composition, essential for an implant production. This paper presents (i) results from spray drying 8% Y2O3-stabilized ZrO2 and (ii) a review of published literature pertaining to dental implant materials, the various processing methodologies, with special reference to stabilized zirconia and spray drying.  Published under licence by IOP Publishing Ltd.</text>
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              <elementText elementTextId="184864">
                <text>Biju S.; Riya; Gowtham Sanjai S.; Ramaswamy P.</text>
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              <elementText elementTextId="184865">
                <text>IOP Conference Series: Materials Science and Engineering, Vol-988, No. 1</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="184866">
                <text>IOP Publishing Ltd</text>
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            <elementTextContainer>
              <elementText elementTextId="184869">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
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                <text>ISSN: 17578981</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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              <elementText elementTextId="184874">
                <text>Biju S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to Be University), Bangalore, India; Riya, Department of Mechanical and Automobile Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to Be University), Bangalore, India; Gowtham Sanjai S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to Be University), Bangalore, India; Ramaswamy P., Department of Mechanical and Automobile Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to Be University), Bangalore, India</text>
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          <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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      <description>Faculty Publications- Conference Papers</description>
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      <elementSet elementSetId="1">
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184875">
                <text>A Comparative Assessment of Cascaded Double Voltage Lift Boost Converter</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184876">
                <text>Cascaded double voltage lift boost converter; dc-dc converter; Voltage lift technique</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184877">
                <text>In several power conversion applications, dc-dc boost converters with voltage boost techniques are extensively used in order to meet the growing power demand. The main drawback of conventional dc-dc boost converter is obtaining high DC voltages, when operated at high duty ratio which causes switching losses and decreases overall efficiency because of the switch being used to be in 'ON' state for long time and voltage stresses across switch increases. The main objective of proposed converter is to obtain high voltage without extreme duty ratio. When input voltage of 15V DC is given, 201.1V DC output voltage is attained at duty ratio of 0.4 by the cascaded double voltage lift boost converter. To validate the performance of proposed converter, simulation is carried out in LTspice XVII and a comparative assessment of proposed converter with other converters at different duty ratio are realized.  2020 IEEE.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184878">
                <text>Radhika S.; Margaret V.</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="184879">
                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 177-180.</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="184880">
                <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="184881">
                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICRCICN50933.2020.9296190" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRCICN50933.2020.9296190&lt;/a&gt;
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184883">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="184884">
                <text>ISBN: 978-172818818-8</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="184885">
                <text>Online</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184886">
                <text>English</text>
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            <description>The nature or genre of the resource</description>
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            </elementTextContainer>
          </element>
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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>
            <elementTextContainer>
              <elementText elementTextId="184888">
                <text>Radhika S., CHRIST (Deemed to Be University), Department of Electrical and Electronics Engineering, Bangalore, India; Margaret V., CHRIST (Deemed to Be University), Department of Electrical and Electronics Engineering, Bangalore, 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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      <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="184889">
                <text>Rational suitability of low cost activated carbon in removing hexavalent chromium ions from wastewater by uninterrupted mode of adsorption</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184890">
                <text>Activated carbon; breakthrough curve; De oiled soya; fixed bed column; heavy metal</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
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            <elementTextContainer>
              <elementText elementTextId="184891">
                <text>Heavy metals such as chromium, lead, arsenic and others are dense metals whose contamination of water may exterminate life on earth at the niche in industrial activities, foodstuffs or medicines and so on. Activated carbons are very helpful in removing heavy metal ions from aqueous solutions by adsorption, and have been investigated by many researchers so far. The practical relevance of activated carbon made from de oiled soya in the removal of hexavalent chromium ions through continuous adsorption mode is reported in this paper. A breakthrough plot was plotted in finding the effect of initial concentration and adsorbent bed height in the adsorption of hexavalent chromium through activated carbon of de oiled soya. The breakthrough time and saturation time increased as the concentration of the initial solution shot up from 40 mg/L to 60 mg/L. The saturation time was in an incremental mode when the thickness of the adsorbent bed height in a fixed bed was increased from 5cm to 7cm for 40 mg/L initial concentration of hexavalent chromium. The Adams-Bohart's model was found to fit perfectly the fixed bed column in the removal of hexavalent chromium from aqueous solutions. The fabricated adsorbent worked well in detoxifying hexavalent chromium metal ion contaminated wastewater.  2020 Published under licence by IOP Publishing Ltd.</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184892">
                <text>Sivarethinamohan S.; Sivarethinamohan R.; Baskaran A.; Ramakrishnan D.</text>
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            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="184893">
                <text>IOP Conference Series: Materials Science and Engineering, Vol-955, No. 1</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="184894">
                <text>IOP Publishing Ltd</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>
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              <elementText elementTextId="184895">
                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1088/1757-899X/955/1/012087" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1088/1757-899X/955/1/012087&lt;/a&gt;
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184897">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <elementText elementTextId="184898">
                <text>ISSN: 17578981</text>
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                <text>Sivarethinamohan S., K.Ramakrishnan College of Technology, Tamilnadu, India; Sivarethinamohan R., CHRIST(Deemed to Be University), Bangalore, Karnataka, India; Baskaran A., Chennai Institute of Technology, Chennai, Tamilnadu, India; Ramakrishnan D., K.Ramakrishnan College of Technology, Tamilnadu, India</text>
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                <text>Mental Workload Estimation Using EEG</text>
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                <text>Mental workload contributes considerably to the outcome or the performance of any task. The concern of human workload increases during a human-machine collaboration task or in a multitasking environment. This paper presents a comparative study of machine learning algorithms used to estimate workload using Electroencephalography (EEG) data. An open-access EEG dataset acquired during a 'simultaneous capacity (SIMKAP) experiment' and 'no task' is used to create and validate models for binary classification of workload as present and absent respectively. The paper presents an implementation of various classification models that use EEG data to predict the workload. In this paper, implementation for KNN classifier (57.3%), Random Forest classifier (57.19%), MLP network classifier (58.2%), CNN+ LSTM network classifier (58.68%), and LSTM network classifier (61.08%) has been reported. The paper can be further extended to study operator workload in real-time using a brain-computer interface paradigm for any kind of task in a real-world application. The workload classification can be further used in human-machine tasks to decide task allocation between the system to achieve optimal performance in a complex critical system.  2020 IEEE.</text>
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                <text>Pandey V.; Choudhary D.K.; Verma V.; Sharma G.; Singh R.; Chandra S.</text>
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                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 83-86.</text>
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              <elementText elementTextId="184908">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICRCICN50933.2020.9296150" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRCICN50933.2020.9296150&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184911">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISBN: 978-172818818-8</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
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              <elementText elementTextId="184914">
                <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>Pandey V., Institute of Nuclear Medicine and Allied Sciences, DRDO, Department of Biomedical Engineering, Delhi, India; Choudhary D.K., Christ University, Department of Computer Science, Bangalore, India; Verma V., Vivekanand Institute of Professional Studies, Department of Computer Science, Delhi, India; Sharma G., Institute of Nuclear Medicine and Allied Sciences, DRDO, Department of Biomedical Engineering, Delhi, India; Singh R., Institute of Nuclear Medicine and Allied Sciences, DRDO, Department of Biomedical Engineering, Delhi, India; Chandra S., Institute of Nuclear Medicine and Allied Sciences, DRDO, Department of Biomedical Engineering, Delhi, India</text>
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          <elementContainer>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184917">
                <text>Evaluation of the inhibition efficiency of Pogonatum microstomum for mild steel in acid medium using gravimetric, kinetics, electrochemical studies and statistical modeling</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184918">
                <text>Electrochemical studies; Mild steel; Pogonatum microstomum; Statistical modelling</text>
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            </elementTextContainer>
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            <description>An account of the resource</description>
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                <text>Mosses from a distinct lineage of bryophyte family are found as thick green carpet on the moist rocks, trees, soil or streams. It is acclaimed for its good antimicrobial properties and is a reservoir of various phytochemicals. The nontoxicity nature and abundant availability in nature was exploited for the first time to investigate its effectiveness as novel and green corrosion. Present study deals with the evaluation of corrosion inhibition efficiency of the moss, Pogonatum microstomum using the electrochemical studies and weight loss studies. The moss extract showed a maximum corrosion inhibition efficiency of 95.28 % for 3hrs of immersion period at 303 K. Increase in the inhibition efficiency with concentration of moss extract is the result of adsorption of the constituents which are active on the surface of the metal. Tafel polarization and electrochemical impedance studies gave results on par with the weight loss measurements. The experimental results obtained were further validated by statistical analysis and statistical modeling using SPSS 20 software.  2020 American Institute of Physics Inc.. All rights reserved.</text>
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              <elementText elementTextId="184920">
                <text>Jomy J.; Hepziba Magie Jessima S.J.; Subhashini S.</text>
              </elementText>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="184921">
                <text>AIP Conference Proceedings, Vol-2270</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="184922">
                <text>American Institute of Physics 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>
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              <elementText elementTextId="184923">
                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1063/5.0019455" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0019455&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184925">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISSN: 0094243X; ISBN: 978-073543998-6</text>
              </elementText>
            </elementTextContainer>
          </element>
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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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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184928">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>The nature or genre of the resource</description>
            <elementTextContainer>
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            <elementTextContainer>
              <elementText elementTextId="184930">
                <text>Jomy J., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Hepziba Magie Jessima S.J., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Subhashini S., Department of Chemistry, Avinashilingam Institute for Home Science and Higher Education for Women, Deemed to be University, Coimbatore, 641043, India</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
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                  <text>Conference Papers</text>
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      <name>Conference Paper</name>
      <description>Faculty Publications- Conference Papers</description>
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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="184931">
                <text>Pseudo Color Region Features for Plant Disease Detection</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184932">
                <text>Disease Detection; Feature Extraction; Pattern Classification; Pseudo Color Region Properties; Support Vector Machine; Tomato</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184933">
                <text>This study reports a novel pseudo color region features for a computer vision system for the identification of diseases in Tomato Plants. The HSV based algorithm identifies eccentric and non- eccentric dots, spots, patches and region of different pseudo colors. Proposed method uses region properties and creates an enhanced and effective feature vector for plant disease detection. The features are more intuitive for humans to understand and help in tuning the underlying Artificial Intelligence Model better. The algorithm uses a scalable data structure to store regions counts using a hash function. It has wide application in the Computer Vision domain.  2020 IEEE.</text>
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          <element elementId="39">
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            <elementTextContainer>
              <elementText elementTextId="184934">
                <text>Jos J.; Venkatesh K.A.</text>
              </elementText>
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          </element>
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              <elementText elementTextId="184935">
                <text>2020 IEEE International Conference for Innovation in Technology, INOCON 2020</text>
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            </elementTextContainer>
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            <elementTextContainer>
              <elementText elementTextId="184936">
                <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="184937">
                <text>2020-01-01</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>&lt;a href="https://doi.org/10.1109/INOCON50539.2020.9298337" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/INOCON50539.2020.9298337&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184939">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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            <elementTextContainer>
              <elementText elementTextId="184940">
                <text>ISBN: 978-172819744-9</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
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              <elementText elementTextId="184942">
                <text>English</text>
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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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            <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>
            <elementTextContainer>
              <elementText elementTextId="184944">
                <text>Jos J., Christ University, Department of Computer Science, Bengaluru, India; Venkatesh K.A., Myanmar Institute of Information Technology, Department of Mathematics and Computer Science, Mandalay, Myanmar</text>
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              <elementTextContainer>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184945">
                <text>Application of Spray Drying process to convert Beneficial Compounds extracted from Plants into free-flowing powder</text>
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                <text>The use of herbal tablets has been rapidly growing and significant research work is being carried out worldwide with the goal to reap the benefits of the many useful plants that are available with medicinal values. Many of these plants go largely underutilized either due to lack of information on not only just the medicinal properties but simple and effective extraction methodologies as well, without sacrificing the properties of the extracts. Once extracted, the concentrates also must be converted into a suitable form that can be loaded in a capsule etc., ready to be consumed. While there many process methodologies being used worldwide to extract the useful resources from the plant, focus also must be on the process methodology that is being practiced to convert the extract (liquid or semi solid) into a solid free flowing powder form. Thus, in an herbal tablet, there many factors concerned with the manufacturing. They are (i) Identifying the most suitable plant for a particular immunity boosting purpose (ii) extraction of the useful contents, mostly in a liquid or slurry form (iii) transform the extract into a user-friendly product such as powder and finally (iv) encapsulation of the powder for ease of human consumption. This paper brings in a review of the several useful plants available around us across the world. In addition, the paper also highlights the suitable experimental results of the usefulness of spray-drying technology, which is a highly versatile process methodology to transform the extracts into free-flowing powder.  Published under licence by IOP Publishing Ltd.</text>
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                <text>Thampi A.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Kumar S.R., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Gowtham Sanjai S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Ramaswamy P., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India</text>
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                <text>Graphene doped spray dried ceramic nano oxides for high capacity battery electrodes</text>
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            <description>An account of the resource</description>
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                <text>Electric vehicles or portable electronic devices have come to rely heavily upon electrochemical devices, such as rechargeable batteries with optimum charge discharge characteristics, current ratings, charge-discharge rate (rate capability), cyclability etc. to perform under the expected service conditions. One of the goals of a rechargeable battery materials researcher is to fabricate materials to realize solid-state batteries with high reliability and lithium-air batteries with ultimate capacities. Most of the materials although possess high theoretical energy density values: invariably suffer from inferior cyclic performance. The performance of these batteries is guided by the electrodes within these devices which in turn depend upon the materials used to fabricate them. Chemical composition and its uniformity, consistency in microstructural features, and adequate choice of various layers that may be in the form of coatings to be overlaid on the base materials mostly comprised of ceramic oxides such as oxides of Li doped with niobates, manganates, vanadate etc. with carbon or graphene coated over layers to provide with the suitable interfacial conductivity as electrode materials in Li-ion batteries. The interfacial layers and the mechanism of interfacial phenomena encompassing the grains play a significant role in determining the performance. Optimum microstructure is obtained by choosing the right processing equipment and spray drying the composition in slurry form provides the most optimum solution. Further, spray drying offers high potential for a transfer from a lab scale technology to industrial level extrapolation. In this paper, nano graphene has been spray dried along with nano alumina grains in water media and polyvinyl alcohol binder to ascertain the free flowability, consistency in formation of graphene over layer on alumina grains as well as uniformity in graphene on alumina composition. The free flowing spray dried graphene coated alumina powders were analysed via SEM, EDS and XRD and results are presented. Additional information based on a review conducted on published information on most popular compositions in terms of electrode materials such as in Li-ion, sodium-ion etc have also been included. In the review section the rapidly increasing literature on spray drying of solutions and suspensions are also included.  Published under licence by IOP Publishing Ltd.</text>
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                <text>Singh M.; Joshi P.N.; Vattappara K.; Reghu V.R.; Ramaswamy P.</text>
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                <text>IOP Conference Series: Materials Science and Engineering, Vol-988, No. 1</text>
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                <text>IOP Publishing Ltd</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 17578981</text>
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              <elementText elementTextId="184970">
                <text>Singh M., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, 560 074, India; Joshi P.N., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, 560 074, India; Vattappara K., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, 560 074, India; Reghu V.R., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, 560 074, India; Ramaswamy P., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, 560 074, India</text>
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                <text>Modernized energy management system: A review</text>
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                <text>The usage of renewable energy system (RES) and its management is vital for reliable electrical energy delivery without pollution. In the scenario of increase in distributed generations (DGs), to utilize the generated electricity from RES without any wastage, to avoid the consumption of electricity during peak hours, to store and retrieve energy in an efficient way from the battery, there is a need for overall energy management system (EMS). As the prices for electricity and pollution are reduced, the review of available methodologies is discussed in this paper. The EMS takes decision based on the predicted load demand. So, the different prediction methodologies and their benefits are also discussed here. Though the electric vehicles (EVs) are considered as load in power system, the storage facility of the EVs are also used as power backup facilities through vehicle to grid (V2G) technology. This paper provides a review on the complete management of RES, EVs, batteries and load.  Published under licence by IOP Publishing Ltd.</text>
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                <text>Reddy D.S.; Jeyaprabha S.B.</text>
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              <elementText elementTextId="184974">
                <text>Journal of Physics: Conference Series, Vol-1706, No. 1</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 17426588</text>
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                <text>Online</text>
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                <text>English</text>
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                <text>Reddy D.S., Department of Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India, Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupati, India; Jeyaprabha S.B., Department of Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India</text>
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