2023 Second International Conference on Electronics and Renewable Systems (ICEARS)最新文献

Performance Comparisons of Multilevel Inverter Topologies 多电平逆变器拓扑的性能比较

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085387

K. Deepak, U. Chaithanya, M. Lingmaiah, Shaik Abdul Siraj, K. Narahari Kalyan Kumar, Nageti Aravind

{"title":"Performance Comparisons of Multilevel Inverter Topologies","authors":"K. Deepak, U. Chaithanya, M. Lingmaiah, Shaik Abdul Siraj, K. Narahari Kalyan Kumar, Nageti Aravind","doi":"10.1109/ICEARS56392.2023.10085387","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085387","url":null,"abstract":"Applications of multilevel inverters are increasing day by day due to their capability to operate for higher voltage with less harmonic components at output terminals. The Neutral Point Clamped (NPC) and Cascaded H-Bridge (CHB) inverters are two well-known multilevel inverter topologies that are used as traditional converters. Different methods of producing pulses to activate semiconductor switches in multilevel inverters are used to minimize harmonics. Pulse Width Modulation (PWM) methodologies for multilevel inverters are introducing every day to make system more applicable. Among many, a Sinusoidal PWM (SPWM) technique is a popular method for generating pulses to switches. Compared to NPC, the structure of CHB is simple and having more futures. However, for a higher level, number of switches of inverter goes increase. Hence, asymmetrical CHB configuration is implemented with a smaller number of switches for higher levels. Various multilevel topologies with suitable SPWM methods are proposed in this paper. For analysis of proposed configuration, five and fifteen level inverters of CHB configuration is presented with phase and line voltages. Extensive results are presented in this paper with the help of MATLAB/Simulink package.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115727500","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}

引用次数: 0

Hybrid Noise Reduction And Enhancement of Audio Quality using Deep Learning 使用深度学习的混合降噪和增强音频质量

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085247

Libina M, Mahan K

{"title":"Hybrid Noise Reduction And Enhancement of Audio Quality using Deep Learning","authors":"Libina M, Mahan K","doi":"10.1109/ICEARS56392.2023.10085247","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085247","url":null,"abstract":"Good voice communication has become a top requirement in today’s rapidly growing world. Noise from the surroundings affects the quality of voice and audio signals in acoustic applications. The original voice signal that was broadcast can occasionally no longer be recovered. Acoustic Noise Cancellation (ANC) is a method for improving the quality of speech and audio signals by removing noise in the voice signal. The adaptive filter, a crucial component of the ANC, reduces noise without first knowing the difference between the signal and the noise. Conventional filters would cause the desired voice stream to be distorted. So, when speech and noise signals are random, adaptive filters are appropriate. A primary input with a damaged signal and a reference input with noise that is unknowably associated with the noise in the primary input make up the ANC’s two inputs. The reference input is adaptively filtered and subtracted from the primary input to get the clean speech signal estimation. The performance of the LMS and NLMS algorithms is significantly impacted by the step size and filter length M. Smaller mean square errors lead to longer convergence times (MSE). When it is large, the algorithm diverges, which reduces the adaptive filter’s efficacy. The trade-off between convergence time and MSE must thus be balanced when deciding on a step size, which is a difficult problem. Another practical difficulty is presented by selecting the filter’s tap length M. As filter length M rises, so do the filter’s convergence time and MSE. Consequently, a shorter-length filter is required. Unfortunately, deciding on the number of filter taps is mostly a matter of experience and trial and error. In LMS and NLMS algorithms, it can be challenging to choose the step size of the algorithm and the length of the adaptive filter M to provide the most excellent possible noise cancellation.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115755742","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}

引用次数: 0

FPGA –based Optimized Design of Montgomery Modular Multiplier using Karatsuba Algorithm 基于FPGA的Montgomery模乘法器的Karatsuba算法优化设计

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085256

A. T, S. S., R. A., Santhosh K M

引用次数: 0

Detection of Retinal Degeneration via High-Resolution Fundus Images using Deep Neural Networks 基于深度神经网络的高分辨率眼底图像视网膜变性检测

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085273

M. Subbarao, J. T. S. Sindhu, N. N. S. Harshitha, K. Vasavi, A. S. Krishna, G. Ram

{"title":"Detection of Retinal Degeneration via High-Resolution Fundus Images using Deep Neural Networks","authors":"M. Subbarao, J. T. S. Sindhu, N. N. S. Harshitha, K. Vasavi, A. S. Krishna, G. Ram","doi":"10.1109/ICEARS56392.2023.10085273","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085273","url":null,"abstract":"Retinal imaging analysis is used to diagnose and classify retinal diseases like age-related macular degeneration (AMD), retinal detachment, diabetic retinopathy (DR), retinitis pigmentosa, and retinoblastoma. The automated detection of retinal disorders is a significant step towards early disease diagnosis and the prevention of disease progression. Historically, a number of cutting-edge techniques have been created to aid in the automatic segmentation and detection of retinal landmarks and diseases. But new advances in deep learning and advanced ophthalmology imaging modalities have given researchers access to a whole new domain. In this paper, two multilayer deep neural networks convolutional neural network (CNN) and AlexNet are presented for the early detection of retinal degeneration. Further analysis is carried out by applying three different types of optimizers to train the classifiers, such as ADAM, RMSProp, and SGDM. The performance analysis is carried out with high-resolution fundus images at three different training rates to determine the superiority of the classifiers.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121043494","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}

引用次数: 2

An IoT based Low Cost E-Parking System in Smart Cities 智慧城市中基于物联网的低成本电子停车系统

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085395

P. G, M. T, Gowrishankar C, Rohith Bhat C, Gowrishankar V, S. M.

{"title":"An IoT based Low Cost E-Parking System in Smart Cities","authors":"P. G, M. T, Gowrishankar C, Rohith Bhat C, Gowrishankar V, S. M.","doi":"10.1109/ICEARS56392.2023.10085395","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085395","url":null,"abstract":"The concerned workers ensure that vehicles are parked in the appropriate spaces. Employees must repeatedly poll their coworkers via personal surveys or the company's internal phone system to ensure that everything is correct. If there is an available parking space, the driver will manually move the vehicle there, regardless of any obstacles. If there is no available space, the car must return and try again later. The proposed intelligent parking system, if implemented, would solve all parking problems. This will take less time and fuel than other options. Intelligent parking solutions will fundamentally alter automobile-centric cities. It may make parking more convenient by bringing order to the chaos. People are always concerned that finding a parking spot will take too long, particularly in densely populated cities. This study focuses on developing a new system in which residents in high-traffic areas can earn extra money by renting out their unused parking spaces to those in need. This strategy could help malls to manage parking more effectively during peak shopping hours. A customer can save time by reserving a parking space ahead of time.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127381612","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}

引用次数: 0

Lion Swarm Optimization with Deep Learning Driven Predictive Model on Blockchain Financial Product Return Rates 基于深度学习的区块链金融产品收益率预测模型的狮子群优化

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085579

P. Sudha, J. Jegathesh Amalraj, M. Sivakumar

{"title":"Lion Swarm Optimization with Deep Learning Driven Predictive Model on Blockchain Financial Product Return Rates","authors":"P. Sudha, J. Jegathesh Amalraj, M. Sivakumar","doi":"10.1109/ICEARS56392.2023.10085579","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085579","url":null,"abstract":"Recently, financial globalization is an extremely improved in distinct manners for enhancing service quality with advanced resources. An effectual application of bitcoin Blockchain (BC) approaches allows the shareholders to be concern regarding the risk and return of financial product. The shareholders mainly concentrate on the predictive of risk and return rates of financial product. Thus, an automated return rate bitcoin predictive method develops vital for BC financial product (FP). A newly planned machine learning (ML) and deep learning (DL) techniques offers a way for the return rate predictor systems. This work designs a Lion Swarm Optimization with Deep Learning Driven Predictive Model on Blockchain Financial Product Return Rates (LSODL-BFPRR) technique. The projected LSODL-BFPRR technique lies in the effectual forecasting of return rates in the BC financial sector. In the presented LSODL-BFPRR technique, stacked bidirectional gated recurrent unit (SBiGRU) approach was exploited for return rate classification. To modify the hyperparameters based on the SBiGRU approach, the LSO algorithm is used. The LSODL- BFPRR technique exploits Ethereum (ETH) return rate as the target. The experimental outcomes of the LSODL-BFPRR technique are tested using a series of simulations and the results demonstrate the effectual predicting results of the LSODL-BFPRR technique over other ones.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"26 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125679295","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}

引用次数: 1

Implementing Deep Learning Techniques into Healthcare System Improvement 将深度学习技术应用于医疗保健系统改进

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085499

Harmeet Kaur Kochhar, Mrudula Kilaru, N. Aljohani, Himanshu Rai Goyal, Devendra Singh, DilipKumar Jang Bahadur Saini

引用次数: 0

System for Predicting the Diabetes using Machine Learning Techniques 使用机器学习技术预测糖尿病的系统

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085329

Saravanan Alagarsamy, Muthuvel P, K. Kumar, M. Reddy, M. M. Naidu, M. V. Kumar

引用次数: 0

Voice-based Virtual Assistant with Security 基于语音的安全虚拟助手

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085043

Cintamaria Simon, M. Rajeswari

引用次数: 0

Design and Development of an E-Healthcare Records Management System using Blockchain Algorithm 基于区块链算法的电子医疗记录管理系统的设计与开发

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085635

D. E, I. S, Indrajith C R, K. A

{"title":"Design and Development of an E-Healthcare Records Management System using Blockchain Algorithm","authors":"D. E, I. S, Indrajith C R, K. A","doi":"10.1109/ICEARS56392.2023.10085635","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085635","url":null,"abstract":"The characteristics of a country's healthcare system are thought to be among the most crucial factors in this paper's description of the electronic health record using block chain technology. Currently, the patient's medical information is kept in electronic health records (EHR). EHR does, however, have some drawbacks, including interoperability, security, and privacy. All these problems result in a deterioration in the standard of the medical system and an expand in healthcare costs because data are split among various medical facilities in various locations. Medical data management presents several special difficulties, such as data access and the frequency with which data is accessed outside of a medical facility. The potential for blockchain technology to help improve the current healthcare system exists. This paper aims to show how EHR can be used in the healthcare industry. EHR sharing systems can be made more effective, secure, and private with the help of blockchain technology. On the other hand, current solutions that depend on a central bibliography are liable to conventional safety problems like Denial of Service (DoS) attacks and alone bit of defeat, as are conventional bibliography systems. Additionally, earlier solutions did not address performance and scalability issues, leaving users vulnerable to privacy linking attacks.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122841982","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}

引用次数: 0