{"title":"The Two Stage Cascaded Coupled Inductor Circuits for High Voltage Gain through DC-DC Converter for Electric Vehicle","authors":"S.Chitra Devi, A. Ramkumar, K. Rajesh","doi":"10.1109/ICIIET55458.2022.9967578","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967578","url":null,"abstract":"This paper presents about two-stage cascaded coupled inductor circuits for high voltage gain DC-DC converter. This is with an integrated magnetic structure that boosts converter, is very much suitable for solar medium power application and cascaded of two coupled inductor circuit components have to reduced copper loss inductor to excellent copper conductors. The two stage-coupled inductors are being designed by PSIM software with an integrated magnetic structure, which produces a high voltage of 626 V from the PV input voltage of 60V and a high voltage gain DC-DC converter circuit output power is 4.88 KW with the efficiency of 99.20% to drive the electric vehicle.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"54 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":"122159472","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":"A Millimeter Wave Antenna for Wireless Body Area Network Applications","authors":"G. Umamaheswari, P. A","doi":"10.1109/ICIIET55458.2022.9967640","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967640","url":null,"abstract":"In this communication, a wideband patch antenna operating in K and Ka bands for wearable 5G applications is presented. The proposed antenna is analyzed on FR4 and Polyamide dielectric materials. The top layer of the antenna has a hexagonal patch structure consisting of a hexagonal slot with a rectangular notch, a dielectric layer in the middle, and a partial ground plane (PGP) designed as the bottom layer. As a result, the antenna had a small size of 7mmx7mm and resonated from 25 GHz to 31 GHz frequency. Analysis and comparison of performance characteristics in both off-body and on-body scenarios were performed in terms of S parameters, VSWR, bandwidth and gain, radiation pattern, and efficiency of the proposed antenna. The calculated specific absorption rate is 1.39 W/Kg, which is significantly lower than the FCC requirements. A high-frequency structure (HFSS) simulation tool is used to simulate the proposed antenna.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"30 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":"128175429","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}