539 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 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 A Study on the Influence of Geometric Transformations on Image Classification: A Case Study Subject The topic of the resource Augmentation; DenseNet; InceptionResNet; Rice plant leaf disease Description An account of the resource The present research work involves the study of the geometrical transformations which influences the training and validation accuracies of machine learning models. For the study, rice plant leaf disease dataset of 2096 images consisting of 4 classes with 523 images per class were used. The dataset subjected to 24 models out of which three models namely - DenseNet201, Densenet169 and InceptionResNetV2 are selected based on highest training accuracy and less difference between training and validation accuracy. To evaluate the performance of the selected three models, loss functions and accuracies have been computed. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Nellisara S.D.; Dutta J.; Cyriac S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 411-416. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-4486-3_46" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_46</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115066625&doi=10.1007%2F978-981-16-4486-3_46&partnerID=40&md5=f58ec2789639a02cc7faf598e3b851f5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115066625&doi=10.1007%2f978-981-16-4486-3_46&partnerID=40&md5=f58ec2789639a02cc7faf598e3b851f5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 Nellisara S.D., Center for Advanced Research and Training, CHRIST (Deemed To Be University), Bangalore, India; Dutta J., Center for Digital Innovation, CHRIST (Deemed To Be University), Bangalore, India; Cyriac S., Center for Digital Innovation, 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 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 Movie Success Prediction from Movie Trailer Engagement and Sentiment Analysis Subject The topic of the resource E-word of mouth; Machine learning; Movie trailer engagement; Predictive analysis; Sentiment analysis; Web scraping Description An account of the resource The diverse movie industry faces many challenges in the promotion of the product across different demographics. Movie trailer engagements provide valuable information about how the audience perceives the movie. This information can be used to predict the success of the upcoming movie before it gets released. The previous research works were mainly concentrating on Hindi language movies to predict success. The current research paper includes the success prediction of movies other than Hindi. This paper aims to analyze various Machine Learning models performance and select the best performing model to predict movie success. The developed model can efficiently classify successful and unsuccessful movies. For the current research, the data is collected from various sources through web scrapping and API calls in Sacnilk, The Movie Database (TMDB), YouTube, and Twitter. Different machine learning classification models such as Random Forest, Logistic Regression, KNN, and Gaussian Nae Bayes are tested to develop the best-performing prediction model. This research can help moviemakers to understand the popularity of the movie among the viewers and decide on an efficient promotional strategy to make the movie more successful. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Emmanuvel A.; Bhagat V.; Jacob L. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 385-393. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-4486-3_43" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_43</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115066627&doi=10.1007%2F978-981-16-4486-3_43&partnerID=40&md5=ac10d17a8f90f79956273f21fcdcb878" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115066627&doi=10.1007%2f978-981-16-4486-3_43&partnerID=40&md5=ac10d17a8f90f79956273f21fcdcb878</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 Emmanuvel A., CHRIST (Deemed to be University), Lavasa, Pune, India; Bhagat V., CHRIST (Deemed to be University), Lavasa, Pune, India; Jacob L., CHRIST (Deemed to be University), Lavasa, Pune, 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 Lifestyle Diseases Prevalent in Urban Slums of South India Subject The topic of the resource Diabetes; Health; Heart disease; Hypertension; Logistic regression; Slums; Urban health Description An account of the resource Lifestyle diseases have always been considered to be a malady of the middle and upper classes of society. Recent findings indicate that these chronic non-communicable diseases are common among the lower socioeconomic classes as well. The objective of this study was to assess the prevalence of lifestyle diseases in three cohorts of urban slums, namely, waste pickers living in non-notified slums, communities living in notified slums, and BBMP Pourakarmikas, and to identify the risk factors among the three cohorts contributing to the common lifestyle diseases including hypertension, diabetes, and cardiovascular diseases. In this study, the data was collected by conducting health camps, followed by analysis of the data using logistic regression, HosmerLemeshow test and ROC Curve Analysis. The prevalence of hypertension was found 13.35%, diabetes-8.53% and cardiovascular disease-3.59%. These were significantly associated with substance abuse, high BMI, and age. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Joseph A.A.; Joshi H.; Vanlalchunga M.V.; Ray S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 356-365. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-4486-3_40" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_40</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115116416&doi=10.1007%2F978-981-16-4486-3_40&partnerID=40&md5=a68fddf45022bbb7e331790b3cf89cf4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115116416&doi=10.1007%2f978-981-16-4486-3_40&partnerID=40&md5=a68fddf45022bbb7e331790b3cf89cf4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 Joseph A.A., Department of Statistics, CHRIST (Deemed To Be University), Bangalore, India; Joshi H., Department of Statistics, CHRIST (Deemed To Be University), Bangalore, India; Vanlalchunga M.V., Department of Statistics, CHRIST (Deemed To Be University), Bangalore, India; Ray S., Department of Statistics, 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 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 Eccentric Graph of Join of Graphs Subject The topic of the resource Eccentric graphs; Eccentric join; Eccentricity Description An account of the resource The eccentric graph Ge corresponding to a graph G is a derived graph with the same vertex set of G and two vertices in Ge are neighbours if one of them is the eccentric vertex of the other. Motivated by the studies on derived graphs and graph operations, in this article, the eccentric graph of the join of two graphs is analysed based on the variations in the radius. The notion of eccentric join of two graphs with at least one of them having radius 1, is introduced. The eccentric graph of eccentric join of graphs is also examined. Finally, the concept of r-eccentric join of graphs is also introduced. This study is analytical in nature, which involves deductive and logical reasoning. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Raja M.R.; Agnes M.T.; Naduvath S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 366-373. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-4486-3_41" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_41</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115079527&doi=10.1007%2F978-981-16-4486-3_41&partnerID=40&md5=259de14667fa3823bfd4e680785dd8ab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115079527&doi=10.1007%2f978-981-16-4486-3_41&partnerID=40&md5=259de14667fa3823bfd4e680785dd8ab</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 Raja M.R., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India; Agnes M.T., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, 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 Proficient technique for satellite image enhancement using hybrid transformation with FPGA Subject The topic of the resource DWT; DWT with Gaussian Transformation; DWT with SVD; FPGA; Multiwavelet transform; Xilinx ISE Description An account of the resource Visual quality of images is improved by digital techniques for the improvement of photographs. The main purpose of image improvements is to process an image to make the output more desirable for a particular use than the original image. This paper proposes a new approach, which improves the picture of the satellite by the use of the SVD DWT concept, the Gaussian transformation DWT and multiwavelet transformation. This suggested approach would convert and approximate the single-colour value matrix of the low-flowing sub-band into one low-frequency and 15 high-frequency sub-bands, and then recreate the improved picture using the inverse transformation. In terms of technical criteria as PSNR, RMSE and CC, this approach can have higher quality and quantitative performance. This paper introduces strategies for improving hardware images using a programmable door array in real-time (FPGA). The suggested algorithm is implemented successfully with Xilinx ISE, MATLAB and ModelSim on different scale satellite images in Verilog HDL. In this article, these algorithms should be simulated and implemented using Verilog HDL. The Spartan-3E from Xilinx is the unit chosen here. 2021 IEEE Creator An entity primarily responsible for making the resource Paulchamy B.; Chidambaram S.; Jaya J. Source A related resource from which the described resource is derived Proceedings of the 2021 1st International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAECT49130.2021.9392560" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAECT49130.2021.9392560</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109214316&doi=10.1109%2FICAECT49130.2021.9392560&partnerID=40&md5=c8bbce05ce87a2ebb1b7693c1ef03ec0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109214316&doi=10.1109%2fICAECT49130.2021.9392560&partnerID=40&md5=c8bbce05ce87a2ebb1b7693c1ef03ec0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172815790-0 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 Paulchamy B., Department of ECE, Hindusthan Institute of Technology, Coimbatore-32, India; Chidambaram S., Department of ECE, Christ University, Banglore, India; Jaya J., Akshaya College of Engineering and Technology, Coimbatore-109, 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 Detection of Fraudulent Alteration of Bank Cheques Using Image Processing Techniques Subject The topic of the resource Alteration detection; Fraudulent cheques; Morphological thinning; Trimmed mean function Description An account of the resource In todays world illegal alteration and illegal modifications of authenticated financial documents is increasing rapidly as a fastest growing crimes around the world. The result of this kind of crimes may result in a huge financial loss. In this paper image processing and document image analysis techniques are used to examine such cases in order to identify the fraudulent bank cheques. However, it is very difficult to detect an alteration made on documents once the printing ink of alike color is employed. In this paper, alterations and modifications caused with handwritten ball point pen strokes are considered and proposed a technique for recognition of such types of corrections by employing standard techniques under Digital image processing and pattern recognition. The results are quite promising during the experiments conducted. 2021, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Raghavendra S.P.; Ahamed S.; Danti A.; Rohit D. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1380, pp. 469-477. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-0507-9_39" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-0507-9_39</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103286214&doi=10.1007%2F978-981-16-0507-9_39&partnerID=40&md5=a67f7e3222b1cd25cd247821e25df2be" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103286214&doi=10.1007%2f978-981-16-0507-9_39&partnerID=40&md5=a67f7e3222b1cd25cd247821e25df2be</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-981160506-2 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 Raghavendra S.P., Department of Computer Application, JNN College of Engineering, Shimoga, Karnataka, India; Ahamed S., Department of Computer Science, GFGC, Sorab(T), Shimoga, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India; Rohit D., NMIT, 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 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 Parallel Algorithm to find Integer k where a given Well-Distributed Graph is k-Metric Dimensional Subject The topic of the resource Metric basis of a graph; Metric dimension; Parallel algorithm for metric dimension; Resolving set Description An account of the resource Networks are very important in the world. In signal processing, the towers are modeled as nodes (vertices) and if two towers communicate, then they have an arc (edge) between them or precisely, they are adjacent. The least number of nodes in a network that can uniquely locate every node in the network is known in the network theory as the resolving set of a network. One of the properties that is used in determining the resolving set is the distance between the nodes. Two nodes are at a distance one if there is a single arc can link them whereas the distance between any two random nodes in the network is the least number of distinct arcs that can link them. We propose two algorithms in this paper with the proofs of correctness. The first one is in lines with the BFS that find distance between a designated node to every other node in the network. This algorithm runs in O(log n). The second algorithm is to identify the integer k, such that the given graph is k-metric dimensional. This can be implemented in O(log n) time with O(n2) processors in a CRCW PRAM. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Chelladurai X.; Kureethara J.V. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1333 AISC, pp. 145-153. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-33-6966-5_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-6966-5_15</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104776016&doi=10.1007%2F978-981-33-6966-5_15&partnerID=40&md5=0b138839b133c716a59119e3f63b5318" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104776016&doi=10.1007%2f978-981-33-6966-5_15&partnerID=40&md5=0b138839b133c716a59119e3f63b5318</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-981336965-8 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 Chelladurai X., Department of Sciences and Humanities, Christ University, Bangalore, India; Kureethara J.V., Department of Mathematics, 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 Fabrication of Didactic Model to Demonstrate Bottle Filling System Using Programmable Logic Controller Subject The topic of the resource Industrial automation; Programmable logic controllers; Sensors Description An account of the resource Automation is the evolution of manufacturing process which will ideally lead to e-governance. It helps humans and machines to be connected at the hip, blending the cerebral aptitudes of human and specialized abilities of automated bots to immune the workspace. Automated system has enhanced the modern day market by increasing the quality of the product as well as making the fabricating process time efficient. Lights out technology in industry promotes the robots to do work even after working hours when the lights are shut down in industry. In this research paper, a unique approach is used to fabricate a didactic model which demonstrates the working of a bottling plant which may be preferred for medium and small scale industries. To implement the process, CODESYS is used to program CPX-CEC-C1 PLC, a digital computerized system which performs logical decisions and provides outputs based on sensor inputs. The main focus is towards interfacing pneumatics and hydraulic components with PLC. 2021, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Akilesh V.K.R.; Kannanraj H.; Kannan M.; Manikandan P. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-700, pp. 283-290. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-15-8221-9_26" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-8221-9_26</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103439916&doi=10.1007%2F978-981-15-8221-9_26&partnerID=40&md5=10816bb46d72f66e4c3a7fb13f618410" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103439916&doi=10.1007%2f978-981-15-8221-9_26&partnerID=40&md5=10816bb46d72f66e4c3a7fb13f618410</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981158220-2 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 Akilesh V.K.R., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560074, India; Kannanraj H., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560074, India; Kannan M., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560074, India; Manikandan P., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, Karnataka, 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 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 Automatic Generation Control of Multi-area Multi-source Deregulated Power System Using Moth Flame Optimization Algorithm Subject The topic of the resource Automatic generation control (AGC); Disco participation matrix (DPM); Generation rate constraint (GRC); Moth flame optimization (MFO); Proportional-integral-derivative controller (PID) Description An account of the resource In this paper, a novel nature motivated optimization technique known as moth flame optimization (MFO) technique is proposed for a multi-area interrelated power system with a deregulated state with multi-sources of generation. A three-area interrelated system with multi-sources in which the first area consists of the thermal and solar thermal unit; the second area consists of hydro and thermal units. The third area consists of gas and thermal units with AC/DC link. System performances with various power system transactions under deregulation are studied. The dynamic system executions are compared with diverse techniques like particle swarm optimization (PSO) and differential evolution (DE) technique under poolco transaction with/without AC/DC link. It is found that the MFO tuned proportional-integral-derivative (PID) controller superior to other methods considered. Further, the system is also studied with the addition of physical constraints. The present analysis reveals that the proposed technique appears to be a potential optimization algorithm for AGC study under a deregulation environment. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Acharyulu B.V.S.; Gorripotu T.S.; Azar A.T.; Mohanty B.; Pilla R.; Kumar S.; Serrano F.E.; Kamal N.A. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-204, pp. 717-729. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-1089-9_56" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-1089-9_56</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111960526&doi=10.1007%2F978-981-16-1089-9_56&partnerID=40&md5=da7c244f94caa295d3a171a889ca22dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111960526&doi=10.1007%2f978-981-16-1089-9_56&partnerID=40&md5=da7c244f94caa295d3a171a889ca22dc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981161088-2 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 Acharyulu B.V.S., Department of Electrical and Electronics Engineering, Lendi Institute of Technology and Management, Srikakulam, Andhra Pradesh, 532402, India; Gorripotu T.S., Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, 532402, India; Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia, Faculty of Computers and Artificial Intelligence, Benha University, Banha, Egypt; Mohanty B., Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, 768018, India; Pilla R., Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Srikakulam, Andhra Pradesh, 532127, India; Kumar S., CHRIST (Deemed to be University), Bangalore, Karnataka, 560074, India; Serrano F.E., Universidad Tecnologica Centroamericana (UNITEC), Tegucigalpa, Honduras; Kamal N.A., Faculty of Engineering, Cairo University, Giza, Egypt 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 A Comparative Analysis of Sentiment Analysis Using RNN-LSTM and Logistic Regression Subject The topic of the resource Descriptive analytics; Logistic regression; Predictive analytics; RNN-LSTM; Sentiment analysis Description An account of the resource Social media analytics makes a big difference in the success or failure of an organization. The data gathered from social media can be used to get a hit type product by analyzing the data and getting important information about the need of the people. This can be done by implementing sentiment analysis on the available data and then accessing the feelings of the customers about the product or service and knowing if it is actually being liked by them or not. Tracking data of the customers helps the organization in many ways. This study was done to get familiarized with the concept of data analytics and how social media plays an important role in it. Furthermore, Web scraping of Twitter and YouTube data was done following which a standard dataset was selected to do the other analytics. The field of sentiment analysis was used to get the emotions of the people. Logistic regression and RNN-LSTM models were used to perform the same, and then, the results were compared. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Goswami M.; Sajwan P. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-740 LNEE, pp. 165-174. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-33-6393-9_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-6393-9_18</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105865696&doi=10.1007%2F978-981-33-6393-9_18&partnerID=40&md5=1fb928e0b91baeb3aee5d07ca88fd275" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105865696&doi=10.1007%2f978-981-33-6393-9_18&partnerID=40&md5=1fb928e0b91baeb3aee5d07ca88fd275</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981336392-2 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 Goswami M., Christ University, Bengaluru, India; Sajwan P., Christ 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 ETL and Business Analytics Correlation Mapping with Software Engineering Subject The topic of the resource Business analysis; Data science; ETL process; SDLC; Software engineering Description An account of the resource Large information approach can't be effectively accomplished utilizing customary information investigation strategies. Rather, unstructured information requires specific information demonstrating methods, apparatuses, and frameworks to separate experiences and data varying by associations. Information science is a logical methodology that applies scientific and measurable thoughts and PC instruments for preparing large information. At present, we all are seeing an exceptional development of data created worldwide and on the web to bring about the idea of large information. Information science is a significant testing zone because of the complexities engaged with consolidating and applying various strategies, calculations, and complex programming procedures to perform insightful investigation in huge volumes of information. Thus, the field of information science has developed from enormous information, or huge information and information science are indistinguishable. In this article we have tried to create bridge between ETL and software engineering. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Paikaray B.K.; Dube M.R.; Swain D. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1311 AISC, pp. 501-511. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-33-4859-2_49" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-4859-2_49</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104764040&doi=10.1007%2F978-981-33-4859-2_49&partnerID=40&md5=9eba96b7771624a6e246fd404ef8741e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104764040&doi=10.1007%2f978-981-33-4859-2_49&partnerID=40&md5=9eba96b7771624a6e246fd404ef8741e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-981334858-5 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 Paikaray B.K., Department of CSE, Centurion University of Technology and Management, Bhubaneswar, Odisha, India; Dube M.R., Department of CSE, Vishwakarma Institute of Technology, Pune, India; Swain D., Department of Data Science Department, Christ University, Lavasa, Pune, 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 A Fog-Based Retrieval of Real-Time Data for Health Applications Subject The topic of the resource Adafruit; Fog computing; Internet of things; Raspberry Pi Description An account of the resource Fog computing is an emerging technology that offers high-quality cloud services by providing high bandwidth, low latency, and efficient computational power and storage capacity. Although cloud computing is an efficient solution so far to store and retrieve the huge data of IoT devices, it is expected to limit its performance due to low latency and storage capacity. Fog computing addresses these limitations by extending its services to the cloud at the edge of the network. In this paper, we use a fog computing network approach for efficiently retrieving the real-time patient data. The performance of our proposed approach has been compared with the cloud computing approach in terms of retrieval time of real-time data. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Diana Jeba Jingle I.; Mano Paul P. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1333 AISC, pp. 155-160. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-33-6966-5_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-6966-5_16</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104793722&doi=10.1007%2F978-981-33-6966-5_16&partnerID=40&md5=fae12422115c8e05c97cc0a380f8046e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104793722&doi=10.1007%2f978-981-33-6966-5_16&partnerID=40&md5=fae12422115c8e05c97cc0a380f8046e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-981336965-8 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 Diana Jeba Jingle I., Department of CSE, Christ (Deemed to be University), Bangalore, India; Mano Paul P., Department of CSE, Alliance 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 On Statistical Tools in Finding Equitable Antimagic Labeling of Complete Graphs Subject The topic of the resource Edge labeling; Equitable antimagic complete graphs; Standard deviation Description An account of the resource Graph theory is a branch of mathematics that deals with representation of graphs with vertices and edges. Graph labeling is the assignment of integer labels to either vertices or edges. For a given graph G= (V, E), an edge-weighting is a function f:E(G)?{1,2,3,..,|E(G)|}. For a vertex v of G, let Wf(v) denotes the sum of edge-weights appearing on the edges incident at v under the edge-weighting f. A bijective edge-weighting f of G is said to be an equitable antimagic labeling (EAL) of G if |Wf(u) - Wf(v) | ? 1 for any pair of adjacent vertices u and v of G. A graph admitting an EAL is called an equitable antimagic graph (EAG). In this paper, the characterization of complete graphs Kn, for n? 6 is dealt using an algorithmic approach. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Puthussery A.; Sahul Hamid I.; Chelladurai X. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-190, pp. 985-995. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-0882-7_89" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-0882-7_89</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112165767&doi=10.1007%2F978-981-16-0882-7_89&partnerID=40&md5=f8c47c8d0e99c6c8e32d1ef9849c1e58" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112165767&doi=10.1007%2f978-981-16-0882-7_89&partnerID=40&md5=f8c47c8d0e99c6c8e32d1ef9849c1e58</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981160881-0 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 Puthussery A., CHRIST (Deemed to be University), Bengaluru, India; Sahul Hamid I., The Madura College, Madurai, 11, India; Chelladurai X., 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 Evaluation of ML-Based Sentiment Analysis Techniques with Stochastic Gradient Descent and Logistic Regression Subject The topic of the resource Classification; Machine learning; Opinion mining; Sentiment classification; Stochastic gradient descent; TF-IDF; Word frequency Description An account of the resource In recent times, along with the expansion of technology, the Internet also has flourished exponentially. World is more connected today not only through the technology, but also through sharing sentiments to express views, either be constructive or destructive in front of the world through social media. Twitter, Facebook, Instagram, etc., are being used as social media to reach the world. The study of understanding peoples emotions, intentions, attitudes from unstructured data is opinion mining/sentiment analysis. This is an application of NLP or text mining. In this paper, an attempt is made to realize sentiment analysis's multiple dimensions using approaches such as ML and NLP-based technqies like word frequency and TF-IDF. Using ML approach, experiments were conducted, and the performance of the predictions was visualized. Three different datasets are used. A comparison of logistic regression (LR) and stochastic gradient descent (SGD) algorithms are compared using two different document representation. An extensive comparison is carried out using three different types of dataset. Amazon instant video datasets, bank dataset and movie reviews datasets are being used for the same. Analysis of performance is accomplished by using different graphs. The results indicate that logistic regression performs better than stochastic gradient descent for movie review dataset by using word frequency and TF-IDF-based approach. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Goswami M.; Sabata P. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-740 LNEE, pp. 153-163. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-33-6393-9_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-6393-9_17</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105876978&doi=10.1007%2F978-981-33-6393-9_17&partnerID=40&md5=4ad25ae3f89b10aba08f120449579bc8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105876978&doi=10.1007%2f978-981-33-6393-9_17&partnerID=40&md5=4ad25ae3f89b10aba08f120449579bc8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981336392-2 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 Goswami M., Christ University, Bengaluru, India; Sabata P., Christ 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 Indian Road Lanes Detection Based on Regression and clustering using Video Processing Techniques Subject The topic of the resource Clustering; Lane segments; Regression Description An account of the resource Detecting the road lanes from moving vehicle is a difficult and challenging task because of road lane markings with poor quality, occlusion created by traffic and poor road constructions. If the driver is not maintaining the road lanes properly, the proposed system detects the road lanes and gives the alarm to the driver so that driver can take the corrective actions there by we can avoid the accidents. The paper mainly focusses on detection of road lanes from sequence of image taken from the video from moving vehicle. The Methodology mainly consisting of lane segments merging and fitting using clustering and weighted regression techniques to fit the curve in the place of group of lane segments and curve fitting separately. 2021, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Manjunatha H.T.; Danti A.; ArunKumar K.L.; Rohith D. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1380, pp. 193-206. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-0507-9_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-0507-9_17</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103260923&doi=10.1007%2F978-981-16-0507-9_17&partnerID=40&md5=b3140281dc9fb65ef324382ecc60276f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103260923&doi=10.1007%2f978-981-16-0507-9_17&partnerID=40&md5=b3140281dc9fb65ef324382ecc60276f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-981160506-2 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 Manjunatha H.T., Department of MCA, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India; Danti A., Computer Science and Engineering, CHRIST (Deemed to be University), Bengalore, Karnataka, India; ArunKumar K.L., Department of MCA, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India; Rohith D., NMIT, Banglore, 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 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 Stability Analysis of AFTI-16 Aircraft by Using LQR and LQI Algorithms Subject The topic of the resource AFTI-16 aircraft; CARE; DARE; LQI; LQR; LQRD; MIMO dynamical systems; Optimal control systems Description An account of the resource The stability analysis of the dynamical system of linearized plant model of Advanced Fighter Technology Integration (AFTI)-16 aircraft was proposed along with the optimal control methods by applying linear quadratic regulator (LQR) and linear quadratic algorithm (LQI) algorithms. The LQR and LQI algorithms results were compared with state-space model analysis results. The state-space methods like pole placement method, without using the LQR algorithm the negative feedback system were found to be unstable. By the application of LQR and LQI algorithms to the linearized plant AFTI-16 aircraft open-loop system having negative feedback found to be stable. The stability parameters were verified by using MATLAB programming software. The eigenvalues play a key role in finding closed-loop system stability analysis. MIMO dynamical system with state feedback gain matrices is calculated by using MATLAB programming software. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Krishna Mohan V.S.S.; Viswanath H.L. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-204 LNNS, pp. 285-294. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-1395-1_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-1395-1_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111396376&doi=10.1007%2F978-981-16-1395-1_22&partnerID=40&md5=862c9bdc117fbcc31b0e1e2f9f251426" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111396376&doi=10.1007%2f978-981-16-1395-1_22&partnerID=40&md5=862c9bdc117fbcc31b0e1e2f9f251426</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981161394-4 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 Krishna Mohan V.S.S., Department of Electronics and Instrumentation Engineering, Dayananda Sagar College of Engineering, Bengalore, India; Viswanath H.L., Department of Electronics and Communication Engineering, Christ University, Bengalore, 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 A Survey on Solution of Imbalanced Data Classification Problem Using SMOTE and Extreme Learning Machine Subject The topic of the resource Extreme learning machine (ELM); Imbalanced data (ID); Imbalanced data classification; Machine learning; Machine learning (ML); Synthetic minority over-sampling technique (SMOTE) Description An account of the resource Imbalanced data are a common classification problem. Since it occurs in most real fields, this trend is increasingly important. It is of particular concern for highly imbalanced datasets (when the class ratio is high). Different techniques have been developed to deal with supervised learning sets. SMOTE is a well-known method for over-sampling that discusses imbalances at the level of the data. In the area, unequal data are widely distributed, and ensemble learning algorithms are a more efficient classifier in classifying imbalances. SMOTE synthetically contrasts two closely connected vectors. The learning algorithm itself, however, is not designed for imbalanced results. The simple ensemble idea, as well as the SMOTE algorithm, works with imbalanced data. There are detailed studies about imbalanced data problems and resolving this problem through several approaches. There are various approaches to overcome this problem, but we mainly focused on SMOTE and extreme learning machine algorithms. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Goyal A.; Rathore L.; Kumar S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-204, pp. 31-44. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-1089-9_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-1089-9_4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112006004&doi=10.1007%2F978-981-16-1089-9_4&partnerID=40&md5=5501083f7e0ea5d46bd59e1096cdfafe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112006004&doi=10.1007%2f978-981-16-1089-9_4&partnerID=40&md5=5501083f7e0ea5d46bd59e1096cdfafe</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981161088-2 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 Goyal A., KL (Deemed to be University), Hyderabad, 500075, India; Rathore L., Yagyavalkya Institute of Technology, Jaipur, India; Kumar S., CHRIST (Deemed to be University), Bangalore, Karnataka, 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 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 Butterfly Optimization Algorithm-Based Optimal Sizing and Integration of Photovoltaic System in Multi-lateral Distribution Network for Interoperability Subject The topic of the resource Butterfly optimization algorithm; Interline-photovoltaic system; Interoperability; Loss minimization; Radial distribution system; Radiality constraint Description An account of the resource In this paper, a new and simple nature-inspired meta-heuristic search algorithm, namely butterfly optimization algorithm (BOA), is proposed for solving the optimal location and sizing of solar photovoltaic (SPV) system. An objective function for distribution loss minimization is formulated and minimized via optimally allocating the SPV system on themain feeder. At the first stage, the computational efficiency of BOA is compared with various other similar works and highlights its superiority in terms of global solution. In thesecond stage, the interoperability requirement of SPV system while determining the location and size of SPV system among multiple laterals in a distribution system is solved without compromises in radiality constraint. Various case studies on standard IEEE 33-bus system have shown the effectiveness of proposed concept of interline-photovoltaic (I-PV) system in improving the distribution system performance in terms of reduced losses and improved voltage profile via redistributing the feeder power flows effectively. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Pandraju T.K.S.; Janamala V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-204, pp. 201-209. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-1089-9_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-1089-9_17</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111983112&doi=10.1007%2F978-981-16-1089-9_17&partnerID=40&md5=ce86335dbf3fd68bdd8949d9ee348f59" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111983112&doi=10.1007%2f978-981-16-1089-9_17&partnerID=40&md5=ce86335dbf3fd68bdd8949d9ee348f59</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981161088-2 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 Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering & Technology, Vijayawada, Andhra Pradesh, 521139, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, Karnataka, 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 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 A Mathematical Correlation of Compressive Strength Among Silica, Alumina and Calcia Present in Composite Red Mud and Iron Ore Tailingbricks Subject The topic of the resource Ground granulated blast slag (GGBS); Iron ore tailings (IOT); Lime stabilizer; Red Mud Description An account of the resource Waste Red Mud generated from bauxite beneficiation in aluminium industry contains sodium oxide in minor amount along with silica and alumina in significant quantities. Waste iron ore tailings from beneficiation of iron ore in steel industry contain silica and alumina in significant quantities. A combination of both these materials in different amounts along with GGBS and lime addition resulted in complex alkali-activated reaction products consisting of (Si/Al), (Ca/Si) and (Ca/(Si+Al)) complexes which influence compressive strength of the test samples on curing for extended time periods at room temperature. Individual correlation coefficients of these complexes with compressive strength yielded high values with (Si/Al) and (Ca/Si+Al) ratios (0.92 and 0.96, respectively) while showing a poor correlation coefficient with (Ca/Si) ratio (0.88). A direct regression analysis between compressive strength and (Si/Al) ratio and (Ca/Si+Al) ratio indicated negative values with (Si/Al) ratios but positive values with (Ca/ (Si+Al)) ratios. It is therefore concluded that the addition of lime and GGBS (contributed from both GGBS and lime addition) resulted in Ca-Si-Al complex formations which are responsible for improved compressive strength of the samples. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Beulah M.; Das P.; Gayathri G.; Sudhir M.R.; Sarath Chandra K.; Sasha Rai P. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-143 LNCE, pp. 313-327. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-33-6969-6_29" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-6969-6_29</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106447147&doi=10.1007%2F978-981-33-6969-6_29&partnerID=40&md5=b50cbe1fc34109fec1418a3dc653fc35" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106447147&doi=10.1007%2f978-981-33-6969-6_29&partnerID=40&md5=b50cbe1fc34109fec1418a3dc653fc35</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557; ISBN: 978-981336968-9 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 Beulah M., School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Das P., ACS College of Engineering, Bangalore, India; Gayathri G., ACS College of Engineering, Bangalore, India; Sudhir M.R., SOET, Christ (Deemed to be University), Bangalore, India; Sarath Chandra K., School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Sasha Rai P., KS School of Engineering and Management, 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 Fraud Detection in Credit Card Transaction Using ANN and SVM Subject The topic of the resource Artificial neural network; Credit card fraud detection; SMOTE; Support vector machine Description An account of the resource Digital Payment fraudulent cases have increased with the rapid growth of e-commerce. Masses use credit card payments for both online and day-to-day purchasing. Hence, payment fraud utilizes a billion-dollar business, and it is growing fast. The frauds use different patterns to make the transactions from the cardholders account, making it difficult for the organization or the users to detect fraudulent transactions. The studys principal purpose is to develop an efficient supervised learning technique to detect credit card fraudulent transactions to minimize the customers and organizations losses. The respective classification accuracy compares supervised learning techniques such as deep learning-based ANN and machine learning-based SVM models. This studys significant outcome is to find an efficient supervised learning technique with minimum computational time and maximum accuracy to identify the fraudulent act in credit card transactions to minimize the losses incurred by the consumers and banks. 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Creator An entity primarily responsible for making the resource Shaji A.; Binu S.; Nair A.M.; George J. Source A related resource from which the described resource is derived Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol-383, pp. 187-197. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-3-030-79276-3_14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-79276-3_14</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112325735&doi=10.1007%2F978-3-030-79276-3_14&partnerID=40&md5=8d5367f47f1279fb5571eb1f67aa45ea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112325735&doi=10.1007%2f978-3-030-79276-3_14&partnerID=40&md5=8d5367f47f1279fb5571eb1f67aa45ea</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18678211; ISBN: 978-303079275-6 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 Shaji A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Binu S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Nair A.M., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; George J., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India