423 20 11858 Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance evaluation of diesel engine using genetic algorithm Subject The topic of the resource Diesel engine; Exhaust gas; Genetic algorithm; Performance evaluation Description An account of the resource ?Abstract: Engine analysis and optimization is not a new approach to the field of automobiles. It has always been a keen focus in the research of experts domestically as well as internationally, the control of Air-Fuel Ratio (AFR) in transient operating conditions of engine. For the last few decades, the industry and economic expansion of developed countries has showed a clean increase in the vehicle production as well as transport volume. Global warming, acid rain, greenhouse effect and air pollution problems related to emission of CO2, NOx, PM, CO and unburned HC, together with the consumption of fossil fuels, unite to create serious problems at a global level. Therefore it is a research study considering all these current issues and taking it to a new level of optimization for the output of a better efficiency, better economy and less pollution. Performance of Diesel Engine is evaluated by parameters like Power, Torque and Specific Fuel Consumption. 2018, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved. Creator An entity primarily responsible for making the resource Lukose A.; Krishna A.V.N. Source A related resource from which the described resource is derived International Journal of Engineering and Advanced Technology, Vol-8, No. 2, pp. 155-158. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062004855&partnerID=40&md5=2d8f2800710b43b6ed6a1f9daf1c8c4f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062004855&partnerID=40&md5=2d8f2800710b43b6ed6a1f9daf1c8c4f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22498958 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lukose A., Department of Information Technology, Faculty of Engineering, Christ University (Deemed), Bengaluru, Karnataka, India; Krishna A.V.N., Department of Computer Science and Engineering, Faculty of Engineering, Christ University (Deemed), Bengaluru, Karnataka, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance evaluation of machinelearning techniques indiabetes prediction Subject The topic of the resource Artificial neural network; Logistic regression; Neural network with 10-fold; Random forest; Support vector machine Description An account of the resource Diabetes diagnosis is very important at preliminary stage rather than treatment. In todays world devices like sensors are used for detection of diabetes. Accurate classification techniques are required for automatic identification of diabetes disease. In regards to research diabetes prediction with minimal number of attributes (test parameters) is to be identified earlier research states about feature reduction but with less predictive accuracy. In this regards, this work exploits machine learning techniques(methodology) such as Logistic Regression (LR), Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF) and Neural Network (NN) with 10-fold Cross Validation (CV) for classification and prediction of diabetes with Feature Selection Methods (FSMs) using R platform. Above all models enable us to investigate the relationship between a categorical outcome and a set of explanatory variables. The experiment was conducted on PIMA Indian diabetes dataset selected from UCI machine learning repository. From the experimental results it is identified that for full set of diabetes dataset attributes, Classification Accuracy (CA) achieved was 84.25%whereas with reduced set attributes an accuracy of 85.24% is achieved using NN with 10-fold CV technique compared to others which will help in medical application to predict diabetes with minimal features. BEIESP. Creator An entity primarily responsible for making the resource Raghavendra S.; Santosh Kumar J.; Raghavendra B.K. Source A related resource from which the described resource is derived International Journal of Engineering and Advanced Technology, Vol-8, No. 3, pp. 363-369. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062716931&partnerID=40&md5=8894b68faf7c616fa11fe23d6a26271a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062716931&partnerID=40&md5=8894b68faf7c616fa11fe23d6a26271a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22498958 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raghavendra S., Department of Computer Science and Engineering at Christ Deemed To Be University, Bangalore, India; Santosh Kumar J., Department of Computer Science and Engineering at K.S.School of Engineering and Management, Bangalore, India; Raghavendra B.K., VTU Belgaum, Bangalore, Karnataka, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance evaluation of Map-reduce jar pig hive and spark with machine learning using big data Subject The topic of the resource Cloudxlab; Flink; Hadoop; Hbase; HDFS; Hive; Map-reduce; Pig; Spark Description An account of the resource Big data is the biggest challenges as we need huge processing power system and good algorithms to make a decision. We need Hadoop environment with pig hive, machine learning and hadoopecosystem components. The data comes from industries. Many devices around us and sensor, and from social media sites. According to McKinsey There will be a shortage of 15000000 big data professionals by the end of 2020. There are lots of technologies to solve the problem of big data Storage and processing. Such technologies are Apache Hadoop, Apache Spark, Apache Kafka, and many more. Here we analyse the processing speed for the 4GB data on cloudx lab with Hadoop mapreduce with varing mappers and reducers and with pig script and Hive querries and spark environment along with machine learning technology and from the results we can say that machine learning with Hadoop will enhance the processing performance along with with spark, and also we can say that spark is better than Hadoop mapreduce pig and hive, spark with hive and machine learning will be the best performance enhanced compared with pig and hive, Hadoop mapreduce jar. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Santosh Kumar J.; Raghavendra B.K.; Raghavendra S.; Meenakshi Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-10, No. 4, pp. 3811-3818. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v10i4.pp3811-3818" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v10i4.pp3811-3818</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079907640&doi=10.11591%2Fijece.v10i4.pp3811-3818&partnerID=40&md5=4663b5cad9d9091a213fc4454f707c89" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079907640&doi=10.11591%2fijece.v10i4.pp3811-3818&partnerID=40&md5=4663b5cad9d9091a213fc4454f707c89</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Santosh Kumar J., Department of Computer Science and Engineering, KSSEM, Affiliated to VTU Belagavi, Bangalore, India; Raghavendra B.K., Department of Computer Science and Engineering, BGSIT (ACU) Deemed to be University, India; Raghavendra S., Department of Computer Science and Engineering, Christ Deemed to be University, India; Meenakshi, Department of Computer Science and Engineering, Jain Deemed to be University, India Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Performance Evaluation of OTFS Under Different Channel Conditions for LEO Satellite Downlink Subject The topic of the resource Detection; Doppler; LMMSE; Low Earth Orbit; MRC; OTFS; Satellite Description An account of the resource Orthogonal Time Frequency Space (OTFS) modulation scheme is being actively pursued as a viable alternative to Orthogonal Frequency Division Multiplexing (OFDM) modulation scheme in future wireless standards due to the inherent ability of OTFS to mitigate the Doppler effects in high mobility scenarios. The inclusion of Non Terrestrial Network (NTN) in Release 17 of 3GPP (3rd generation partnership project) New Radio (NR) standard signifies the vital role of Satellite Communications to achieve coverage extension, capability augmentation and seamless global connectivity. In this context, it becomes important to study the suitability of OTFS modulation scheme with respect to satellite channel scenarios. In this paper, we consider the downlink channel scenarios defined by 3GPP NR NTN for Low Earth Orbit (LEO) satellites at sub-6 GHz and millimetre wave frequencies for evaluating the performance of OTFS modulation schemes. Simulation results using LMMSE (Linear Minimum Mean Square Error) and MRC (Maximum Ratio Combining) detection algorithms confirm that OTFS modulation is highly robust against Doppler effects and performs consistently across all channel conditions. From simulation results, it is observed that the performance of iterative MRC detection is better than LMMSE for 16QAM and 64QAM modulation schemes by achieving respective gains of around 5 dB and 10 dB for corresponding Bit Error Rate (BER) values of 0.01 and 0.1. 2023 IEEE. Creator An entity primarily responsible for making the resource Devarajalu S.K.; Jose D. Source A related resource from which the described resource is derived Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/WINCOM59760.2023.10322957" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WINCOM59760.2023.10322957</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179501311&doi=10.1109%2FWINCOM59760.2023.10322957&partnerID=40&md5=a107eb6519860d6b2c112654474c751f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179501311&doi=10.1109%2fWINCOM59760.2023.10322957&partnerID=40&md5=a107eb6519860d6b2c112654474c751f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032967-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Devarajalu S.K., Christ University, Department of Ece, Bengaluru, India; Jose D., Christ University, Department of Ece, Bengaluru, India https://archives.christuniversity.in/files/original/a041e5ea4332d2f525d1f5acc44315a7.jpg aef8f902d41826f50c5dcaac97c0760b Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance evaluation of parallel genetic algorithm for brain MRI segmentation in hadoop and spark / Subject The topic of the resource Brain MRI Segmentation Description An account of the resource Indian Journal of Science and Technology, Vol.8, Issue 48, pp.1-7, ISSN: 0974-6846 (Print), 0974-5645 (Online). Creator An entity primarily responsible for making the resource Augustine, D. Peter., Raj, Pethuru. Source A related resource from which the described resource is derived <a href="https://indjst.org/articles/performance-evaluation-of-parallel-genetic-algorithm-for-brain-mri-segmentation-in-hadoop-and-spark" target="_blank" title="Performance evaluation of parallel genetic algorithm for brain MRI segmentation in hadoop and spark" rel="noreferrer noopener">https://indjst.org/articles/performance-evaluation-of-parallel-genetic-algorithm-for-brain-mri-segmentation-in-hadoop-and-spark</a> Publisher An entity responsible for making the resource available Indian Society for Educations and Environment Date A point or period of time associated with an event in the lifecycle of the resource 2016-02-13 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance Evaluation of Predicting IoT Malicious Nodes Using Machine Learning Classification Algorithms Subject The topic of the resource Classification Algorithms; Internet of Things (IoT); Machine Learning; Malicious Nodes; Network Security Description An account of the resource The prediction of malicious nodes in Internet of Things (IoT) networks is crucial for enhancing network security. Malicious nodes can significantly impact network performance across various scenarios. Machine learning (ML) classification algorithms provide binary outcomes ("yes" or "no") to accurately identify these nodes. This study implements various classifier algorithms to address the problem of malicious node classification, using the SensorNetGuard dataset. The dataset, comprising 10,000 records with 21 features, was preprocessed and used to train multiple ML models, including Logistic Regression, Decision Tree, Naive Bayes, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). Performance evaluation of these models followed the ML workflow, utilizing Python libraries such as scikit-learn, Seaborn, Matplotlib, and Pandas. The results indicated that the Naive Bayes classifier outperformed others with an accuracy of 98.1%. This paper demonstrates the effectiveness of ML classifiers in detecting malicious nodes in IoT networks, providing a robust predictive model for real-time application. The SensorNetGuard dataset is available on the IEEE data port and Kaggle platform. 2024, Prof.Dr. ?skender AKKURT. All rights reserved. Creator An entity primarily responsible for making the resource Poorana S.S.; Wilfred B.N.R.; Rajesh K.R.; Karthik S. Source A related resource from which the described resource is derived International Journal of Computational and Experimental Science and Engineering, Vol-10, No. 3, pp. 341-349. Publisher An entity responsible for making the resource available Prof.Dr. ?skender AKKURT Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22399/ijcesen.395" target="_blank" rel="noreferrer noopener">https://doi.org/10.22399/ijcesen.395</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201698353&doi=10.22399%2Fijcesen.395&partnerID=40&md5=5c1a7dfb66ae39d12ab225d6adf38ab9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201698353&doi=10.22399%2fijcesen.395&partnerID=40&md5=5c1a7dfb66ae39d12ab225d6adf38ab9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21499144 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poorana S.S., Dr. N.G.P. Arts and Science College, Department of Computer Applications, Tamil Nadu, Coimbatore, 641048, India; Wilfred B.N.R., University of Tech. and Applied Sciences, College of Computing and Information Sciences, Ibri, Oman; Rajesh K.R., Christ University, Department of Computer Science, Karnataka, 560029, India; Karthik S., Kristu Jayanti College, Department of Computer Science (PG), Karnataka, 560077, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance evaluation of random forest with feature selection methods in prediction of diabetes Subject The topic of the resource Classification accuracy; Data mining; Feature selection method; Percentage split; Random forest Description An account of the resource Data mining is nothing but the process of viewing data in different angle and compiling it into appropriate information. Recent improvements in the area of data mining and machine learning have empowered the research in biomedical field to improve the condition of general health care. Since the wrong classification may lead to poor prediction, there is a need to perform the better classification which further improves the prediction rate of the medical datasets. When medical data mining is applied on the medical datasets the important and difficult challenges are the classification and prediction. In this proposed work we evaluate the PIMA Indian Diabtes data set of UCI repository using machine learning algorithm like Random Forest along with feature selection methods such as forward selection and backward elimination based on entropy evaluation method using percentage split as test option. The experiment was conducted using R studio platform and we achieved classification accuracy of 84.1%. From results we can say that Random Forest predicts diabetes better than other techniques with less number of attributes so that one can avoid least important test for identifying diabetes. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Raghavendra S.; Santosh Kumar J. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-10, No. 1, pp. 353-359. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v10i1.pp353-359" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v10i1.pp353-359</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073363164&doi=10.11591%2Fijece.v10i1.pp353-359&partnerID=40&md5=bbbe979964eaf91d3b7e7eded475f799" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073363164&doi=10.11591%2fijece.v10i1.pp353-359&partnerID=40&md5=bbbe979964eaf91d3b7e7eded475f799</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raghavendra S., Department of Computer Science and Engineering, CHRIST Deemed To Be University, Kanmanike, Kumbalgodu, Mysore Road, Bangalore, 560074, India; Santosh Kumar J., Department of Computer Science and Engineering, KSSEM, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance Evaluation of Refractory Bodies Fabricated from Composite Oxide Powders Beneficiated from Black Al-dross Subject The topic of the resource Aluminum oxide; Black aluminum dross; Industrial waste utilization; Magnesium aluminate; Oxide composites; Refractory Description An account of the resource Aluminum Oxide (Corundum, ?-Al2O3) and Magnesium-Aluminum Oxides (Spinel, MgAl2O4) are highly desired refractory materials due to their ability to withstand high-temperature service conditions without corroding and cracking. They are present in composite form in black Aluminum Dross (Al-dross), a hazardous industrial waste. 1 Kg batch of this composite powder was beneficiated from Al-dross to 98+% purity after removing the hazardous Aluminum Nitride (AlN) by aqueous treatment of Al-dross in an environment-friendly manner. The treated slurry was oven dried, ball milled to fine powder, hydraulically pressed, and sintered at 1500 C/6 h into solid cylinders (50 mm diameter 20 mm height). The structural phase analysis of the sintered product (refractory blocks) revealed a highly crystalline XRD pattern with peaks pertaining to only ?-Al2O3 and MgAl2O4. The blocks with Rockwell Hardness values of 4850 HRC, were subjected to thermal shock cycling by following the guidelines of IS 1528 (heat quench between 1000 C and air at ambient) which successfully withstood > 100 shock cycles without failure. SEM was employed to study the fracture surface in an as-sintered state and after thermal shock cycling, to reveal a fine-grained microstructure with clear grain boundaries in the as-sintered state to a glassy matrix with fine cracks at the end of the thermal shock cycle test. The potential for utilization of Al-dross for refractory applications was thus established. 2023 Creator An entity primarily responsible for making the resource Gomes S.A.; Ramaswamy P. Source A related resource from which the described resource is derived Materials Today: Proceedings Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2023.01.271" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2023.01.271</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147585957&doi=10.1016%2Fj.matpr.2023.01.271&partnerID=40&md5=26835da80cac5ebc0350ac46da289f11" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147585957&doi=10.1016%2fj.matpr.2023.01.271&partnerID=40&md5=26835da80cac5ebc0350ac46da289f11</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gomes S.A., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Ramaswamy P., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance evaluation of ternary blended geopolymer binders comprising of slag, fly ash and brick kiln rice husk ash Subject The topic of the resource Fly ash; Rice husk ash; Slag; Sustainability; Ternary geopolymer Description An account of the resource The use of industrial and agro-based precursor materials from local sources can achieve desirable properties for geopolymer binders, and thus realize the carbon-efficient sustainable materials in the construction industry. At the same time, the synergy between these precursors can be assessed using the multilevel material investigation, which has not been explored extensively. Moreover, there are limited studies on ternary geopolymer synthesized with rice husk ash from uncontrolled burning source such as brick kilns. Therefore, this study evaluates the performance of ternary blended geopolymer binders comprised of ground granulated blast furnace slag (GGBFS), fly ash (FLA), and brick kiln rice husk ask (BRHA), implementing the multilevel material approach. The experimental program includes assessment and comparative analyses of the properties of geopolymer binders such as setting time, flow, compressive strength, density, water absorption, and efflorescence. Additionally, X-ray diffraction (XRD) and scanning electron microscopy (SEM) analyses examine crystallographic structure and microscopic morphology of the composite binders. The initial setting time ranged from 21 min to 47 min for ternary mixes, in comparison to 21 min to 58 min for binary mixes. GGBFS significantly contribute in setting of binder due to hydration reaction and formation of C-S-H gel. The flow of ternary mixes exhibits standard deviation of 11.42 mm when compared to 20.96 mm of binary mixes. Lower dispersion in flow values suggests improved coaction between GGBFS, FLA, and BRHA. The compressive strength of ternary mixes improved when compared to the binary mixes. The optimum performance of 60 MPa was obtained for G60A40F95R5, which was 25% and 66.67% higher than binary mixes G60F40 and G60R40, respectively. Similarly, ternary mix G70A30F95R5 showed the least water absorption of 2.08% which was 53% and 58.4% lower than the binary mixes G70F30 and G70R30, respectively. The improvement in the properties of ternary mixes was confirmed from XRD analysis, which reveal coexistence of C-S-H along with crystalline SiO2 that positively improve the microstructure of the composite binder. Moreover, SEM analysis showed dense microstructure for ternary mixes when compared to binary mixes, which further validate the improvement in the strength of such binders. The sustainability analysis discloses the enhanced performance of ternary mixes, wherein, G60A40F95R5 showed 19.35% and 46.23% lower carbon dioxide parameter than binary mixes G60F40 and G60R40, respectively. All in all, the multilevel material investigation provides a great avenue to delve in to the best performing ternary mixes which will find desirable applications in construction industry. 2024 The Authors Creator An entity primarily responsible for making the resource Chelluri S.; Hossiney N. Source A related resource from which the described resource is derived Case Studies in Construction Materials, Vol-20 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.cscm.2024.e02918" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cscm.2024.e02918</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183988775&doi=10.1016%2Fj.cscm.2024.e02918&partnerID=40&md5=37db366e37cbd9447b68180cee025b70" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183988775&doi=10.1016%2fj.cscm.2024.e02918&partnerID=40&md5=37db366e37cbd9447b68180cee025b70</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22145095 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chelluri S., School of Engineering and Technology, Department of Civil Engineering (CHRIST Deemed to be University), Bengaluru, India; Hossiney N., School of Engineering and Technology, Department of Civil Engineering (CHRIST Deemed to be University), Bengaluru, India Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Performance Evaluation of Time-based Recommendation System in Collaborative Filtering Technique Subject The topic of the resource Collaborative Filtering; Cosine Correlation Coefficient; Gower's Coefficient; Recommendation System; Similarity Measure; Time decay function Description An account of the resource The Collaborative Filtering (CF) technique is the most common neighbourhood-based recommendation strategy, that provides personalized recommendation to a user for the items using a similarity measure. Hence, the selection of the appropriate similarity measure becomes crucial in the CF based recommendation system. The traditional similarity measures merely focus only on the historical ratings provided by the users to compute the similarity, completely ignoring the fact that preferences change over a period of time. Considering this, the paper aims to develop an effective Recommendation System that uses temporal information to capture the changes in the preferences over a period of time. For this, the existing exponential and power time decay functions are integrated with Cosine, Pearson Correlation, and Gower's similarity measures to compute similarity. The similarity is computed at the similarity computation and prediction levels of recommendation processes. Experimental findings in terms of MAE and RMSE on the MovieLens-100k demonstrate that performance of Gower's coefficient is better when applied with the exponential function at the similarity computation level of the recommendation process. 2022 Elsevier B.V.. All rights reserved. Creator An entity primarily responsible for making the resource Jain G.; Mahara T.; Sharma S.C. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-218, pp. 1834-1844. Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.procs.2023.01.161" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2023.01.161</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156146357&doi=10.1016%2Fj.procs.2023.01.161&partnerID=40&md5=dc3ca7394acef5132172db93668fc1af" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156146357&doi=10.1016%2fj.procs.2023.01.161&partnerID=40&md5=dc3ca7394acef5132172db93668fc1af</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18770509 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jain G., Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Mahara T., Christ University, Bengaluru, India; Sharma S.C., Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Performance Improvement in E-Gun Deposited SiOx- Based RRAM Device by Switching Material Thickness Reduction Subject The topic of the resource E-gun deposition; NVM; RRAM; SiOx Description An account of the resource A performance improvement by reduction in switching material thickness in a e-gun deposited SiOx based resistive switching memory device was investigated. Reduction in thickness cause thinner filamentary path formation during ON-state by controlling the vacancydefects. Thinner filament cause lowering of operation current from 500 ?A to 100 ?A and also improves the reset current (from >400 ?A to <100 ?A). Switching material thickness reductionalso cause the forming free ability in the device. All these electrical parametric improvements enhance the device reliability performances. The device show >200 dc endurance, >3-hour dataretention and >1000 P/E endurance with 100 ns pulses. 2022 Institute of Physics Publishing. All rights reserved. Creator An entity primarily responsible for making the resource Roy S.; Maikap S. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-2161, No. 1 Publisher An entity responsible for making the resource available IOP Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1742-6596/2161/1/012040" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/2161/1/012040</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124706968&doi=10.1088%2F1742-6596%2F2161%2F1%2F012040&partnerID=40&md5=75c274bf9a6248b934ee492402e3770a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124706968&doi=10.1088%2f1742-6596%2f2161%2f1%2f012040&partnerID=40&md5=75c274bf9a6248b934ee492402e3770a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17426588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roy S., Electronics Engineering Department, School of Engineering and Technology, Kengeri Campus, CHRIST (Deemed to be) University, Mysore Road Kumbalgodu, Kanmanike, Karnataka, Bengaluru, 560074, India, School of Electronics Engineering, Chang Gung University, 259 Wen-Hwa 1st Road, Taoyuuan, Guishan, 333, Taiwan; Maikap S., School of Electronics Engineering, Chang Gung University, 259 Wen-Hwa 1st Road, Taoyuuan, Guishan, 333, Taiwan Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Performance improvement of triple band truncated spiked triangular patch antenna Subject The topic of the resource Inset feed; Return Loss; Triangular; Triple Band; Truncation Description An account of the resource In this paper, the design of a novel triple band triangular microstrip patch antenna with inset feed is proposed. The triangular patch is designed for a resonant frequency of 2 GHz. The inset feed is placed at a depth of 1/3rd of height from the bottom of the patch for improved return loss. The insertion of two slots and two tabs causes the antenna to resonate at multiple frequencies. The proposed antenna resonates at three frequencies: 1.939 GHz, 2.515 GHz and 3.212 GHz. The truncation of the edges of the patch and the tabs improves the gain and directivity of the antenna. 2016 IEEE. Creator An entity primarily responsible for making the resource Sacharias S.A.; Suganthi S. Source A related resource from which the described resource is derived 1st International Conference on Emerging Trends in Engineering, Technology and Science, ICETETS 2016 - Proceedings Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICETETS.2016.7603027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICETETS.2016.7603027</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997327511&doi=10.1109%2FICETETS.2016.7603027&partnerID=40&md5=b4fc834fe41a59bd50b35e910e286286" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997327511&doi=10.1109%2fICETETS.2016.7603027&partnerID=40&md5=b4fc834fe41a59bd50b35e910e286286</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-146736725-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sacharias S.A., Communication Systems, Christ University, Bangalore, India; Suganthi S., Dept. of ECE, Christ University, Bangalore, India Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Performance inquisition of web services using soap UI and JMeter Subject The topic of the resource Open-Source Tools; Performance; Testing; Web Service Description An account of the resource Web Service is a managed code through which the user can expose the existing functionality over the network. Web Service allows multiple applications to communicate with each other. The communication involves passing the data or interaction of two services for a specified action. There are commercial and open source tools available for testing web services. This paper describes about two popular open source tools to test the performance of the web services in terms of response time. The performance is tested based on the time acquired by each service. The comparison study will help in understanding the usage of web service testing tools and adoption of these tools for testing purpose. 2017 IEEE. Creator An entity primarily responsible for making the resource Radhakrishna S.; Nachamai M. Source A related resource from which the described resource is derived 2017 IEEE International Conference on Current Trends in Advanced Computing, ICCTAC 2017, Vol-2018-January, pp. 1-5. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCTAC.2017.8249993" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCTAC.2017.8249993</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048577645&doi=10.1109%2FICCTAC.2017.8249993&partnerID=40&md5=480e1ec3a563bcb9244c3a7e08f79e78" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048577645&doi=10.1109%2fICCTAC.2017.8249993&partnerID=40&md5=480e1ec3a563bcb9244c3a7e08f79e78</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-150904997-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Radhakrishna S., Department of Computer Science, Christ University, Bangalore, India; Nachamai M., Department of Computer Science, Christ University, Bangalore, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance investigation of modular multilevel inverter topologies for photovoltaic applications with minimal switches Subject The topic of the resource fast Fourier transform; multilevel inverter; photovoltaic; pulse width modulation techniques; total harmonic distortion Description An account of the resource Introduction. In recent years, a growing variety of technical applications have necessitated the employment of more powerful equipment. Power electronics and megawatt power levels are required in far too many medium voltage motor drives and utility applications. It is challenging to incorporate a medium voltage grid with only one power semiconductor that has been extensively modified. As a result, in high power and medium voltage settings, multiple power converter structure has been offered as a solution. A multilevel converter has high power ratings while also allowing for the utilization of renewable energy sources. Renewable energy sources such as photovoltaic, wind, and fuel cells may be readily connected to a multilevel inverter topology for enhanced outcomes. The novelty of the proposed work consists of a novel modular inverter structure for solar applications that uses fewer switches. Purpose. The proposed architecture is to decrease the number of switches and Total Harmonic Distortions. There is no need for passive filters, and the proposed design enhances power quality by creating distortion-free sinusoidal output voltage as the level count grows while also lowering power losses. Methods. The proposed topology is implemented with MATLAB / Simulink, using gating pulses and various pulse width modulation methodologies. Moreover, the proposed model also has been validated and compared to the hardware system. Results. Total harmonic distortion, number of power switches, output voltage and number of DC sources are compared with conventional topologies. Practical value. The proposed topology has been very supportive for implementing photovoltaic based multilevel inverter, which is connected to large demand in grid. References 12, table 5, figures 23. E. Parimalasundar, N.M.G. Kumar, P. Geetha, K. Suresh. Creator An entity primarily responsible for making the resource Parimalasundar E.; Kumar N.M.G.; Geetha P.; Suresh K. Source A related resource from which the described resource is derived Electrical Engineering and Electromechanics, Vol-2022, No. 6, pp. 28-34. Publisher An entity responsible for making the resource available National Technical University "Kharkiv Polytechnic Institute" Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.20998/2074-272X.2022.6.05" target="_blank" rel="noreferrer noopener">https://doi.org/10.20998/2074-272X.2022.6.05</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141377773&doi=10.20998%2F2074-272X.2022.6.05&partnerID=40&md5=a4dc794599d34c24d76892f8f8af887e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141377773&doi=10.20998%2f2074-272X.2022.6.05&partnerID=40&md5=a4dc794599d34c24d76892f8f8af887e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 2074272X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Parimalasundar E., Department of Electrical & Electronics Engineering, Sree Vidyanikethan Engineering College, AP, Tirupati, 517102, India; Kumar N.M.G., Department of Electrical & Electronics Engineering, Sree Vidyanikethan Engineering College, AP, Tirupati, 517102, India; Geetha P., Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, AP, Tirupati, 517102, India; Suresh K., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Bangalore, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance investigation of PID controller in trajectory control of two-link robotic manipulator in medical robots Subject The topic of the resource 68T20; 93C85; Medical robots; PID controller; Remote surgery; Robotic manipulator; TLRM; WHO Description An account of the resource Robot-assisted surgical procedures have gained much coverage in recent years and favored over manually conducted operations. The medical robots are comprised of manipulators arm that is the multi-degree of freedom positioning devices with a highly non-linear nature to perform various surgical tasks. Due to non-linear effects, robots offer a severe challenge to the control system. Therefore, the control techniques are required for controlling the robots that should be fast enough to accommodate the rapid changes in the system parameters. In this article, the Proportional-Integral-Derivative (PID) controllers performance has been investigated in trajectory control of the Two-Link Robotic Manipulator (TLRM) for reliable functioning of these robots. Tracking error and Control input factors have been used to investigate the PID controllers robustness in trajectory control of TLRM. Eulers-lagrange approach has been used for dynamic analysis of TLRM. This work has been accomplished in the MATLAB/ Simulink environment. 2021 Taru Publications. Creator An entity primarily responsible for making the resource Jayaswal K.; Palwalia D.K.; Kumar S. Source A related resource from which the described resource is derived Journal of Interdisciplinary Mathematics, Vol-24, No. 2, pp. 467-478. Publisher An entity responsible for making the resource available Taru Publications Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/09720502.2021.1893444" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720502.2021.1893444</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102862132&doi=10.1080%2F09720502.2021.1893444&partnerID=40&md5=f71a8d3eecdfa47bfa8d8727c8d1f2cd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102862132&doi=10.1080%2f09720502.2021.1893444&partnerID=40&md5=f71a8d3eecdfa47bfa8d8727c8d1f2cd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9720502 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jayaswal K., Department of Electrical Engineering, Rajasthan Technical University, Kota, 324009, Rajasthan, India; Palwalia D.K., Department of Electrical Engineering, Rajasthan Technical University, Kota, 324009, Rajasthan, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, Karnataka, India Dublin Core 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/. Title A name given to the resource PHD PhD PhD Thesis Dublin Core 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/. Relation A related resource 61000353 Title A name given to the resource Performance Investigation of the High Strength Concrete Using Natural Zeolite with Industrial Waste Materials Subject The topic of the resource Civil Engineering Description An account of the resource Concrete is used in the construction of various structural elements. High Strength newlineConcrete (HSC) production for huge infrastructure projects is challenging. The newlinemanufacture of cement significantly causes global carbon dioxide (CO2) emissions. newlineModifications have been made to cement concrete problems to minimize CO2 emissions and Ordinary Portland Cement (OPC) consumption. This research focuses on developing HSC blended with Natural Zeolite (NZ) and industrial by-products like newlineSilica Fume (SF), Fly Ash (FA), and Metakaolin (MK) to enhance concrete quality, newlinesustainability, and performance. Partial replacement of OPC with 5% NZ and industrial waste materials in 5%, 10%, and 15% amounts to produce M60 grade HSC mixes. In the laboratory, 1,200 concrete specimens were tested for mechanical properties for 3, 7, 28, 60, and 90 days, as well as durability tests such as the Rapid Chloride Penetration Test (RCPT) for 28 days and the acid attack test for 60 days. Mix M3 (85% OPC + 5% NZ + 10% MK) exhibited the highest compressive strength at 72 MPa, split tensile strength at 5.3 MPa, and flexural strength at 9.4 MPa for 90 days curing period, attributed to its low porosity. The reactive silica (SiO2) and alumina (Al2O3) in the mix transformed calcium hydroxide (Ca(OH)2) into calcium silicate hydrate (C-S-H) gel and aluminate compounds. This process improved the newlinemicrostructure of the hardened concrete, resulting in increased imperviousness. The newlinestudy also includes the effect of these industrial waste materials on Zeolite concrete by microstructure analysis. The mathematical models were developed using SPSS software to predict the durability and mechanical properties of all the concrete mixes based on the laboratory data, considering parameters like mix proportions and curing days. Creator An entity primarily responsible for making the resource Gowram, Iswarya Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Contributor An entity responsible for making contributions to the resource Beulah M Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/575080" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/575080</a> https://archives.christuniversity.in/files/original/ab17142fd43f57037b6ab34c137be39a.pdf e26c12c607b0975258840e80fb43369b Dublin Core 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/. Title A name given to the resource Thesis PhD PhD Thesis Dublin Core 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/. Title A name given to the resource Performance investigation of the high strength concrete using natural zeolite with industrial waste materials / Subject The topic of the resource Civil Engineering Creator An entity primarily responsible for making the resource Gowram Iswarya - 1982304 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-07-19 Language A language of the resource English Type The nature or genre of the resource PhD Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Performance investigations of five-level reduced switches count ?-bridge multilevel inverter Subject The topic of the resource H-bridge multilevel inverter; pulse width modulation; switching losses; total harmonic distortion Description An account of the resource Introduction. This research paper describes a simple five-level single-phase pulse-width modulated inverter topology for photovoltaic grid applications. Multilevel inverters, as opposed to conventional two-level inverters, include more than two levels of voltage while using multiple power switches and lower-level DC voltage levels as input to produce high power, easier, and less modified oscillating voltage. The H-bridge multilevel inverter seems to have a relatively simple circuit design, needs minimal power switching elements, and provides higher efficiency among various types of topologies for multi-level inverters that are presently accessible. Nevertheless, using more than one DC source for more than three voltage levels and switching and conduction losses, which primarily arise in major power switches, continue to be a barrier. The novelty of the proposed work consists of compact modular inverter configuration to connect a photovoltaic system to the grid with fewer switches. Purpose. The proposed system aims to decrease the number of switches, overall harmonic distortions, and power loss. By producing distortion-free sinusoidal output voltage as the level count rises while lowering power losses, the constituted optimizes power quality without the need for passive filters. Methods. The proposed topology is implemented in MATLAB/Simulink with gating pulses and various pulse width modulation technique. Results. With conventional topology, total harmonic distortion, power switches, output voltage, current, power losses, and the number of DC sources are investigated. Practical value. The proposed topology has proven to be extremely useful for deploying photovoltaic-based stand-alone multilevel inverters in grid applications. References 18, table 2, figures 15. 2023, National Technical University "Kharkiv Polytechnic Institute". All rights reserved. Creator An entity primarily responsible for making the resource Parimalasundar E.; Muthukaruppasamy S.; Dharmaprakash R.; Suresh K. Source A related resource from which the described resource is derived Electrical Engineering and Electromechanics, Vol-2023, No. 6, pp. 58-62. Publisher An entity responsible for making the resource available National Technical University "Kharkiv Polytechnic Institute" Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.20998/2074-272X.2023.6.10" target="_blank" rel="noreferrer noopener">https://doi.org/10.20998/2074-272X.2023.6.10</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174903543&doi=10.20998%2F2074-272X.2023.6.10&partnerID=40&md5=a2a31b3bed87c31be946491842d91e77" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174903543&doi=10.20998%2f2074-272X.2023.6.10&partnerID=40&md5=a2a31b3bed87c31be946491842d91e77</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2074272X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Parimalasundar E., Department of Electrical & Electronics Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), AP, Tirupati, 517102, India; Muthukaruppasamy S., Electrical and Electronics Engineering, Velammal Institute of Technology, Anna University, TN, Panchetti, 601204, India; Dharmaprakash R., Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, 600123, India; Suresh K., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Bangalore, India https://archives.christuniversity.in/files/original/7d8200edcce551f8446584ee675d91ee.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core 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/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core 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/. Title A name given to the resource Performance of diesel engine enhanced by employing 150µM to 170µM thick plasma sprayed 8YSZ nano grained coating on piston head / Subject The topic of the resource Materials Technology Description An account of the resource Patent Number: 202241033004, Applicant: S Gowtham Sanjai. This invention discloses the favorable influence of nano ceramic coated components on the performance of diesel engines. 150 microns thick yttria stabilized zirconia coatings, with nano grained microstructure, when applied by using Atmospheric Plasma Spray (APS) coating technique, on the piston crown of a 5HP, single cylinder diesel engine, reduces the brake specific fuel consumption (BSFC) of the engine by ~ 20%. The improvement in performance has been established by comparing the performances (measuring the BSFC) of the engine when mounted with (a) OEM Piston and thereafter (b) coated piston. Creator An entity primarily responsible for making the resource S, Gowtham Sanjai. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1I8XQmkJSDTTYZpjuxbrqMePKZN3Fy8bk/view" target="_blank" title="Performance of diesel engine enhanced by employing 150µM to 170µM thick plasma sprayed 8YSZ nano grained coating on piston head /" rel="noreferrer noopener">https://drive.google.com/file/d/1I8XQmkJSDTTYZpjuxbrqMePKZN3Fy8bk/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-20 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/01f626ffbcc117956a0dd2a52924c986.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core 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/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core 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/. Title A name given to the resource Performance of diesel engine enhanced by employing 150µM to 170µM thick plasma sprayed 8YSZ nano grained coating on piston head / Subject The topic of the resource Materials Technology Description An account of the resource Patent Number: 202241033004, Applicant: S Gowtham Sanjai.This invention discloses the favorable influence of nano ceramic coated components on the performance of diesel engines. 150 microns thick yttria stabilized zirconia coatings, with nano grained microstructure, when applied by using Atmospheric Plasma Spray (APS) coating technique, on the piston crown of a 5HP, single cylinder diesel engine, reduces the brake specific fuel consumption (BSFC) of the engine by ~ 20%. The improvement in performance has been established by comparing the performances (measuring the BSFC) of the engine when mounted with (a) OEM Piston and thereafter (b) coated piston. Creator An entity primarily responsible for making the resource K, Kiran. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1I8XQmkJSDTTYZpjuxbrqMePKZN3Fy8bk/view" target="_blank" title="Performance of diesel engine enhanced by employing 150µM to 170µM thick plasma sprayed 8YSZ nano grained coating on piston head /" rel="noreferrer noopener">https://drive.google.com/file/d/1I8XQmkJSDTTYZpjuxbrqMePKZN3Fy8bk/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-20 Language A language of the resource English Type The nature or genre of the resource Patent