U. Priya, Ghr Vinay, B.D. Divya Reddy, K. Sudarsana Reddy, K. Sireesha
{"title":"An Adaptive Power Electronic Interface for EV","authors":"U. Priya, Ghr Vinay, B.D. Divya Reddy, K. Sudarsana Reddy, K. Sireesha","doi":"10.1109/ICIIET55458.2022.9967644","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967644","url":null,"abstract":"This paper describes the usage of a Fuzzy-based bidirectional DC-DC converter-fed induction motor for EV applications. A 3-phase variable speed induction motor (used as a load) is supplied with a battery through AC-DC and DC-DC converters. Varying speeds of the induction motor are achieved using the FOC-SVPWM technique. A Bidirectional Converter DC to DC is used to conserve the power generated through regenerative braking. A fuzzy logic controller is employed to obtain an optimal power flow between the battery and load (Induction motor). Mathematical modeling of SVPWM -FOC, an adaptive fuzzy rule base for all the test scenarios, has been presented. Test scenarios like sudden changes in speed, motoring, and regeneration modes of the vehicles have been considered for simulation. The proposed model has been evaluatedusing a MATLAB/Simulink environment has been used to evaluate the model. Results are analyzed and presented.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126358417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparative Path Planning Analysis for the Recommended E-Vehicle Charging Station","authors":"Achuta Hari Priya Nair, M. Sujith","doi":"10.1109/ICIIET55458.2022.9967510","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967510","url":null,"abstract":"Automotive consumers easily adapt to E-vehicles, and this is because of their low-cost maintenance and stable electricity charge rates. Apart from designing and manufacturing E-vehicles, there is an essential need to build an infrastructure that can provide an interface to communicate with the charging stations and also enhance the conveyance. The proposed design features the ideology of enhancing the EV-infrastructure, where a charging station is recommended and E-vehicle is scheduled using the FCFS algorithm by considering different scenarios and metrics, keeping SOC as a constraint. Also, the shortest path for the same is proposed by comparing the Dijkstra and ACO algorithms. The model is anticipated to devise an optimal and feasible path for an E-vehicle to travel towards the recommended charging station by providing optimal information to the EV-driver to recharge the E-vehicle during his journey. The entire simulation for the proposed design is carried out in MATLAB R2021b.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"3 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115724525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Devasena, Y. Dharshan, B. Sharmila, K. Srinivasan
{"title":"Improved Decision Based Filtering algorithm for impulse noise removal in Digital Images","authors":"D. Devasena, Y. Dharshan, B. Sharmila, K. Srinivasan","doi":"10.1109/ICIIET55458.2022.9967693","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967693","url":null,"abstract":"Random valued impulse noise is removed in digital images, and an Improved Decision Based (IDB) filtering technique is proposed. The decision-based filtering algorithm’s function is to detect noisy pixels by making judgments in three different modules. Once the noisy pixel has been found, the noise is removed using a Hybrid Wiener Adaptive Centre Weighted Median filter. Comparing the existing decision tree-based approach, the suggested filter removes substantially more noise. The suggested modified decision tree method produces better outcomes for high-density noise levels of up to 90%, according to both visual and quantitative data.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134353501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Shanthi, Aruru Sai Kumar, P. Phanidra, Gautam Raj, N. Niharika, K. Kalyani
{"title":"An Efficient FPGA Implementation of Cascade Integrator Comb Filter","authors":"G. Shanthi, Aruru Sai Kumar, P. Phanidra, Gautam Raj, N. Niharika, K. Kalyani","doi":"10.1109/ICIIET55458.2022.9967522","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967522","url":null,"abstract":"Sigma-delta modulators are decimated mostly using cascaded integrated comb (CIC) filters as down samplers. The majority of the time, this filter is employed in audio applications where it improves the resolution of the audio signal being transmitted from the transmitter end and aids in improving the audio signal’s signal-to-noise ratio. When compared to other filters, the CIC filter can replace them and performs better in terms of noise cancellation. In this paper, we proposed the CIC filter which is used to transmit the audio signals, and then the signals can be decoded with high efficiency. For FPGA implementation, initially, the filter is designed in Matlab using the Simulink toolbox. Then the Verilog file for the Simulink implementation of the CIC filter is extracted using the HDL Coder library in MATLAB. Later, the Verilog file is dumped onto FPGA for analysis. Finally, the results obtained from the proposed CIC filter are comprised of high gain, more resolution, and with less area in terms of LUTs when compared to the existing method.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121252969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Jegan, P. Priya, I. Sheeba, R. M. Joany, Shyam Parthasarathy
{"title":"A Meander Line Microstrip Patch Antenna for Mid-Band 5G Spectrum","authors":"G. Jegan, P. Priya, I. Sheeba, R. M. Joany, Shyam Parthasarathy","doi":"10.1109/ICIIET55458.2022.9967683","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967683","url":null,"abstract":"A novel meander line-shaped patch transceiver is proposed for the mid-band 5G applications. To achieve integration in the micro-strip patch antenna, DGS (Defective Ground Structure) is incorporated into the ground plan under it. The proposed transceiver is prepared with less expensive Flame Retardant 4 dielectric material. The antenna’s performance was assessed using return loss, operating bandwidth, gain, VSWR, and radiation pattern parameters. The structure has been updated and analyzed using HFSS, which provides a high degree of accuracy in the updated results. With a return loss of -24.39 dB, the suggested antenna can resonate at a frequency of 1.78 GHz. The fact that the simulated and measured results are consistent lends credence to the usefulness of the transceiver that has been presented for the application that has been proposed.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124831428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhanced Factor Based Whale Optimization Algorithm with Improved Weight Based Long Short-Term Memory for Cancer Subtypes Diagnosis","authors":"P. A. Clemenshia, C. Deepa","doi":"10.1109/ICIIET55458.2022.9967494","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967494","url":null,"abstract":"The categorization of cancer subtypes using data from GEs (gene expressions) has gained popularity in recent years. In recent years, many supervised learning techniques, particularly those based on DLTs (deep learning techniques), have categorized cancer subtypes. DFN Forests (Deep Flexible Neural Forests) which incorporate FNTs (Flexible Neural Trees) were used more for the categorization of cancer subtypes. However, prior proposals have problems with execution speeds and precisions. To address this issue, this work proposes EFWOA (Enhanced Factor based Whale optimization Algorithm) along with IWLSTMs (Improved Weight based Long ShortTerm Memories) for identifying cancer subtypes. The phases of dimensionality reduction, feature selections, and classifications make up the proposed cancer diagnosis system. Datasets on GEs are used as the initial input. IICA (Improved Independent Component Analysis) was subsequently used to minimize the dimensions. Gene selection is carried out using the EFWOA to increase classification accuracy. Finally, IWLSTMs are used to diagnose cancer subtypes where experimental findings of this new system show better performances in terms of accuracies, precisions, recalls, and f-measures.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images","authors":"S. Nithya, M. Rani","doi":"10.1109/ICIIET55458.2022.9967575","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967575","url":null,"abstract":"Cardiac Arrhythmia is an endangered signal to human life. Most arrhythmias are shortfalls of symptoms. Electrocardiogram (ECG) is a non-invasive, low-priced, and powerful tool to record the electrical signals of the heart and detect severe cardiovascular diseases. ECG interpretation is generally done by the cardiologist which is time-consuming and sometimes may lead to the wrong diagnosis. Moreover, numerous arrhythmia heartbeats remain unexplored. The arrhythmia record has an expeditious and divergent ECG. Prompt diagnosis of arrhythmia can reduce the mortality rate. In this paper, we have investigated the application of a Stacked Variational Autoencoder (SVAE) for the automatic diagnosis of arrhythmia from ECG signals. Furthermore, the augmented dat aset is used for training the model, to resolve the imbalance in the classes. The proposed model reached an overall accuracy of 98.96% and sensitivity of 97.32%. SVAE classified twelve classes of cardiac arrhythmia including normal sinus rhythm.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130433377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}