2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)最新文献

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Real Estate Price Prediction using Machine Learning 利用机器学习预测房地产价格
S. Sreeja, V. Asha, Binju Saju, Nivash Cp, P. O. Prakash, Adarsh Kumar Singh
{"title":"Real Estate Price Prediction using Machine Learning","authors":"S. Sreeja, V. Asha, Binju Saju, Nivash Cp, P. O. Prakash, Adarsh Kumar Singh","doi":"10.1109/ICAECT57570.2023.10117910","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117910","url":null,"abstract":"The amount of literature on machine learning research for housing price prediction in India is still very small. This study attempts to develop this prediction engine for use by people in the real world by reviewing how existing machine learning algorithms have been applied to two wildly dissimilar datasets. The results suggest that accuracy can alter significantly when employing different methods. Additionally, a subpar data set can harm forecasts. Additionally, it offers adequate justification for the algorithm that would be most effective for the work.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123221027","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
Development of a three-level soft switching topology for renewable energy applications with multiple operating modes: Development of three-level soft switching topology 多工作模式下可再生能源应用三电平软交换拓扑的发展:三电平软交换拓扑的发展
J. Barsana Banu, R. Karthigaivel, T. Deepika vinothini, J. Jeyashanthi
{"title":"Development of a three-level soft switching topology for renewable energy applications with multiple operating modes: Development of three-level soft switching topology","authors":"J. Barsana Banu, R. Karthigaivel, T. Deepika vinothini, J. Jeyashanthi","doi":"10.1109/ICAECT57570.2023.10118157","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118157","url":null,"abstract":"This paper introduces the maximum-efficiency three-level inverter selected for renewable energy applications. The three-level step-up converter greater the power changing efficiency by lowering the voltage stress. The three-level inverter limits the total power troubles and eliminates the reverse recovery issues. In addition, the projected configuration minimizes harmonic distortion and electromagnetic interference problems. The projected high-efficiency three-level inverter defeats the minimum efficiency problem of conventional two-level inverters and gives maximum efficiency at the best quality output. In order to validate the concert of the projected methodology, the 3-level inverter has been developed best concurrence with the obtained simulation results.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122957765","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
IMPROVED DOUBLE-LEVEL BLENDING MODEL (IDLBM): CUSTOMER CHURN ESTIMATING IN INSURANCE INDUSTRY 改进的双层次混合模型:保险业客户流失估计
Nagaraju Jajam, Nagendra Panini Challa, Ksl Prasanna
{"title":"IMPROVED DOUBLE-LEVEL BLENDING MODEL (IDLBM): CUSTOMER CHURN ESTIMATING IN INSURANCE INDUSTRY","authors":"Nagaraju Jajam, Nagendra Panini Challa, Ksl Prasanna","doi":"10.1109/ICAECT57570.2023.10118051","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118051","url":null,"abstract":"The simplest definition of churn is when a customer quits making purchases from a company. Churn is frequently measured by the rate or share of customers who drop a brand over time. To increase the reliability of client churn forecast in the insurance market and improve the forecast of client attrition in the insurance industry, an Improved Double-Level Blending model (IDLBM) based on Dynamic integration is developed. The Random Forest (RF), Multi-layer Perceptron(MLP), Support Vector Machine(SVM), and Bayesian Network (BN) are used to find the Insurance industry customer churn forecast. all in accordance with the features of client dataset from the insurance business. The dataset insurance Churn Prediction-Machine Hackthan was taken from the Kaggle's repository. The dataset is evaluated using two separate strategies. First, there is traditional technique Blending, second, there is IDLBM, which multiplies the outcomes of each classifier's predictions to improve the learner's prediction accuracy performance. The investigational outcomes show that IDLBM may greatly increase the accuracy of Insurance sector consumer loss prediction.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124866813","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
Transfer Learning with EfficientNet for Computer Vision based Automatic Gender Classification 基于高效网络的计算机视觉性别自动分类迁移学习
Sanskruti Patel, Dharmendra Patel
{"title":"Transfer Learning with EfficientNet for Computer Vision based Automatic Gender Classification","authors":"Sanskruti Patel, Dharmendra Patel","doi":"10.1109/ICAECT57570.2023.10117661","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117661","url":null,"abstract":"The past several years have seen a lot of activity in the field of gender classification research. For a wide range of tasks including surveillance, computer vision, human-computer interaction, and traffic monitoring, gender classification is essential. The traditional approach used to classify gender has a number of drawbacks and is insufficient when used with live images. However, gender classification is just one of several computer vision applications where deep learning algorithms have demonstrated their potential. CNNs are capable of automatic feature generation and provide data insight which is used for efficient classification. In this paper, a special class of pre-trained CNN, called EfficientNet is proposed for automatic gender classification from input image. The experiment is carried out using a dataset with 58,700 images categorized into male and female. The performance of EfficientNet-B0 is also compared with other benchmark pre-trained CNN models i.e. VGG16, ResNet50 and DenseNet. The Precision, Recall and F1-Score values achieved for EfficientNet-BO are 96.80%, 96.60% and 96.88% respectively.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"326 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133984697","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
Comparison and Power Loss Assessment of 1Ø Grid-Tied Non-Isolated Inverters 1Ø并网非隔离逆变器的比较与功率损耗评估
Rushikesh S. Shahakar, K. Thakur, Nutan S. Thakare
{"title":"Comparison and Power Loss Assessment of 1Ø Grid-Tied Non-Isolated Inverters","authors":"Rushikesh S. Shahakar, K. Thakur, Nutan S. Thakare","doi":"10.1109/ICAECT57570.2023.10118058","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118058","url":null,"abstract":"Together with power-electronic devices and photo-voltaic (PV) systems keep improving, there is expanding curiosity in non-isolated grid-tied PV inverters (GPV), which put forward reduced price, smaller volume, and enhanced efficiency than transformer-equipped inverters. Unfortunately, non-isolated GPV inverters with conventional topologies have a leakage current issue that must be addressed carefully. Controlling semiconductor losses and the Common Mode Voltage (CMV) are also critical issues in the development of PV inverter. At the moment, there are numerous topologies that provide good performance in terms of losses and CMV. In this research, mathematical analysis of four of the single phase non-isolated inverter topologies H4, H5, H6 and HERIC are carried out for power loss and CMV. Also simulations with MATLAB is used to validate the results obtained from mathematical analysis. This research will allow us to determine the features and disadvantages of each topology in regards with power loss, CMV and pricing.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"937 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134212392","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
Comparative Study and Performance Analysis of Deep Neural Networks for Sign Language Recognition using Transfer Learning 基于迁移学习的深度神经网络手语识别的比较研究与性能分析
S. Khurana, R. Sreemathy, M. Turuk, J. Jagdale
{"title":"Comparative Study and Performance Analysis of Deep Neural Networks for Sign Language Recognition using Transfer Learning","authors":"S. Khurana, R. Sreemathy, M. Turuk, J. Jagdale","doi":"10.1109/ICAECT57570.2023.10118114","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118114","url":null,"abstract":"Sign Language is the primary source of communication for people with hearing disabilities. Communicating with people with such a disability is a challenge. An Automatic Sign Language Recognition system will reduce this communication gap and facilitate ease of conversing with people with hearing disabilities. In this work, we have compared the performance of 6 popular and recent deep neural network architectures for sign language recognition, namely DarkNet19, DarkNet53, InceptionResNetv2, ResNet50, DenseNet201 and VGG-19. Among these, DarkNet53 performed the best with our self-created dataset of 16,000 images from 60 classes with an average accuracy of 98.02%.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"108 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131854737","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
Traffic sign detection using Deep learning techniques 使用深度学习技术的交通标志检测
P. Someswari, R. Cristin, T. Daniya
{"title":"Traffic sign detection using Deep learning techniques","authors":"P. Someswari, R. Cristin, T. Daniya","doi":"10.1109/ICAECT57570.2023.10118165","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118165","url":null,"abstract":"In this fast-growing world, the trend of self-driving cars and advanced driving systems is increasing rapidly. For humans, identifying a traffic sign is an easy task. However, for self-driving cars, accurate and fast road sign location and classification remains an incredible challenge. So, detection of traffic sign in autonomous vehicles has been catching the attention of the computer vision community incessantly for several decades. With the intensive development of artificial intelligence and computer vision technologies, Deep Learning appears to be one of the most effective solutions for complex detection tasks such as traffic sign detection, which has high demands on accuracy and response speed in multi-object detection. Our proposed work involves in developing a model based on Convolution Neural Network (CNN) in Deep Learning that can be utilized to characterize the traffic signs with great exactness. The performance of our model will be measured by using different metrics like accuracy, F1 score.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133883905","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
MMD labeling of $W_{5}$ corona with 2m copies of $W_{5}$ $W_{5}$ corona的MMD标记与$W_{5}$的200万份拷贝
Revathi R, A. D, Iranian D, Varunapriyan K
{"title":"MMD labeling of $W_{5}$ corona with 2m copies of $W_{5}$","authors":"Revathi R, A. D, Iranian D, Varunapriyan K","doi":"10.1109/icaect57570.2023.10118292","DOIUrl":"https://doi.org/10.1109/icaect57570.2023.10118292","url":null,"abstract":"Consider a graph <tex>$hat{mathrm{G}}$</tex> consisting of <tex>$check{mathrm{r}}$</tex> nodes and a relation ƍ from the set of nodes of <tex>$hat{mathrm{G}}$</tex> to {1,2, …, ř} so that ƍ satisfies one to one and onto condition. Define an edge weight as ƍ (c) ƍ (d)(mod ř) for any edge cd in <tex>$hat{mathrm{G}}$</tex>. A graph <tex>$hat{mathrm{G}}$</tex> is a modular multiplicative divisor (MMD) graph if the sum of all edge weights of <tex>$hat{mathrm{G}}$</tex> is a multiple of <tex>$check{mathrm{r}}$</tex>. Examine here the role of MMD labeling in the contexture of corona product of wheel W<inf>5</inf> and 2m copies of wheel graph W<inf>5</inf>.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132689209","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
Mechatronic Conceptual Design and Kinematic Analysis of Serial-Type Robotic Exoskeleton for Assisted Rehabilitation Therapy on Upper Limbs 用于上肢辅助康复治疗的串联型机器人外骨骼机电一体化概念设计及运动学分析
Jean P. Quezada, Kevin S. Cabrera, Jose Cornejo, R. Palomares, Jorge A. Cornejo-Aguilar, Mariela Vargas
{"title":"Mechatronic Conceptual Design and Kinematic Analysis of Serial-Type Robotic Exoskeleton for Assisted Rehabilitation Therapy on Upper Limbs","authors":"Jean P. Quezada, Kevin S. Cabrera, Jose Cornejo, R. Palomares, Jorge A. Cornejo-Aguilar, Mariela Vargas","doi":"10.1109/ICAECT57570.2023.10118243","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118243","url":null,"abstract":"For many years, the high price of medical exoskeletons for rehabilitation prevented the majority of the population from acquiring them. Therefore, certain new technologies allow the design of digital models capable of reducing weight, volume and price by having the possibility of being 3D printed. For this reason, an investigation carried out in 2022, under the supervision of the Faculty of Mechatronics Engineering, resulted in the proposed project, which is a serial-type exoskeleton for assisted-type rehabilitation in upper extremities, in addition to an electronic system of rapid control using the STM32F103C8T6 board with a frequency of 72MHz and a Cortex-M3 processor. In addition, the exoskeleton can regulate the degrees of rotation of each actuator in the 4 degrees of articulation that it has. This study presents a conceptual mechatronic design under the anthropometric measurements of an adult person and using 3D printing materials with toxic kinetic qualities of the ISO 10993-16: 2017 standard. The developed exoskeleton intends to apply in hospitals, clinics and other health centers with physical rehabilitation area. In conclusion, favorable results were achieved; consequently, the next step in this project is to be able to manage the movements and record new ones as required by the physiotherapist, under a mobile application.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114397217","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
Satin Bower Bird Algorithm Based Solar Photovoltaic System 基于Satin Bower Bird算法的太阳能光伏系统
Nootan Kaushik, Paruchuri Srinivas, Singh Chetan, P. Y. Teja, S. Harish
{"title":"Satin Bower Bird Algorithm Based Solar Photovoltaic System","authors":"Nootan Kaushik, Paruchuri Srinivas, Singh Chetan, P. Y. Teja, S. Harish","doi":"10.1109/ICAECT57570.2023.10118272","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118272","url":null,"abstract":"The Maximum Power Point Tracking (MPPT)approach using the Satin Bowerbird Algorithm (SBA) strategies enhances the efficiency and performance of the photovoltaic system. The Satin Bowerbird is a developmental method that mimics the mating process of the bowerbird in the matin period. This report raises a particular model based on the satin bower bird optimization., which in return provide reduce in the potential losses and consequently widening the net saving as the SBA has the lowest deviation value among the well-known approaches. Moreover, there is a special consideration of the bio-inspired MPPT algorithm. The model deployed based on the SBA express the steady state dynamic., which is adapted to minimize the mean square deviation between the measured and computed voltages in the real time function.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115100788","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
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