2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)最新文献_第9页

ETSAODV: An Efficient and Trusted Secure AODV with Performance Analysis for MANETS suffering Blackhole Attack ETSAODV:针对黑洞攻击的高效可信安全AODV及其性能分析

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118159

Iram Nausheen, A. Upadhyay

引用次数: 0

Design and Simulation of Near Perfect Quad Band Terahertz Metamaterial Absorber 近完美四波段太赫兹超材料吸收器的设计与仿真

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117904

A. Elakkiya, Y. M, Tharun Kumar J, N. I

{"title":"Design and Simulation of Near Perfect Quad Band Terahertz Metamaterial Absorber","authors":"A. Elakkiya, Y. M, Tharun Kumar J, N. I","doi":"10.1109/ICAECT57570.2023.10117904","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117904","url":null,"abstract":"This study designs and simulates a quad-band terahertz (THz) metamaterial absorber (MMA). The suggested device shows additional, polarization-controllable behaviour in contrast to traditional absorbers, which have polarization-dependent or polarization-independent MMA behaviour. This is accomplished with a modified I-shape resonator that forms the single top patch. When the electric field of the incident beam is parallel, four absorption curves are first obtained. When the electric field is chosen along the perpendicular direction, two more peaks are then identified. A 0.5 mm thick polyimide dielectric substrate separates the modified I-shaped top metallic patch from the metal ground plane, and it also exhibits polarization-sensitive behaviour. At 0.453 THz, 0.427 THz, 0.358 THz, and 0.308 THz, respectively, the suggested modified I-Shaped absorber structure presents four separate absorption peaks with absorptivity of x-polarized wave values of roughly 97%, 96%, 91.313%, and 98.21%. While the y-polarized wave's absorptivity is approximately 94%, 95% at 0.336, 0.463 THz. To learn more about the behaviour of the structure, many stages of its development are analysed. The MMA structure is clearly analysed using the plots of the electric field distribution, magnetic field distribution, and surface current distribution. Applications involving sensors will make advantage of the suggested framework.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"43 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":"131999868","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

Design and Implementation of Modified SEPIC, ZETA, Cuk, Quasi Z-Source Converter for BLDC Drive System – A Comparative Analysis 无刷直流驱动系统中改进型SEPIC、ZETA、Cuk准z源变换器的设计与实现——比较分析

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118204

P. Chandran, Aswin Chenthilkumar, Giriprasath Uthayakumar, Hariharan Babu

{"title":"Design and Implementation of Modified SEPIC, ZETA, Cuk, Quasi Z-Source Converter for BLDC Drive System – A Comparative Analysis","authors":"P. Chandran, Aswin Chenthilkumar, Giriprasath Uthayakumar, Hariharan Babu","doi":"10.1109/ICAECT57570.2023.10118204","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118204","url":null,"abstract":"For the system to work properly, it needs a suitable DC-DC converter. High output voltage and power, low harmonic distortion, low ripple content at both current and voltage, and high efficiency gain with fewer component requirements are just a few of the parameters for a good converter. A lot of the converters are made to meet some of the aforementioned requirements. With increased potential for BLDC drive-based Electric Vehicle (EV) applications, the converter chosen in this article is one that will be suitable for those applications. Before recommending a converter for a certain usage, its performance must be evaluated. Various converter topologies are considered. The validation process goes into great detail for the design topology, components used, equations created, loss calculations, and output performances. The majority of converters perform better than expected when choosing the right component values. Applications that work well are provided together with the findings of the converters and the related values.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"40 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":"132198226","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 Design and Kinematic Analysis of an Unmanned Aerial Vehicle: Hexacopter for Medical Support in Rural-Remote Areas 农村偏远地区医疗保障用六旋翼无人机机电一体化设计与运动学分析

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118319

Diego Alejandro Martinez Prinz, Omar Jesus Zevallos Villanueva, Jose Cornejo, R. Palomares, Jorge A. Cornejo-Aguilar, Mariela Vargas

{"title":"Mechatronic Design and Kinematic Analysis of an Unmanned Aerial Vehicle: Hexacopter for Medical Support in Rural-Remote Areas","authors":"Diego Alejandro Martinez Prinz, Omar Jesus Zevallos Villanueva, Jose Cornejo, R. Palomares, Jorge A. Cornejo-Aguilar, Mariela Vargas","doi":"10.1109/ICAECT57570.2023.10118319","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118319","url":null,"abstract":"Peru is a country with several areas that are difficult to access by land; likewise, the country has different communities located in these sectors, which makes it difficult to access medical teams to attend to emergency cases in these towns, which consequently increases the mortality rate of the local inhabitants, which according to INEI data, in the department of Madre de Dios amounts to 540 deaths. The transport of medical supplies with drones has a high potential to save lives during a medical emergency, therefore, in mid-2022, students of the Ricardo Palma University of the Faculty of Mechatronics Engineering propose the use of a transport robot. Air transport of first aid and medical material together with real-time communication equipment for hard-to-reach areas. In this research topic, the 3D mechatronic design is presented using SolidWorks software and for the kinematic analysis of the robot in which its roll, pitch, and yaw rotation axes are defined, Matlab R2019a, in addition, the equations of motion of the drone are obtained in this project. The board used for the programming of the robot is a Raspberry Pi 4. In addition, the aerial transport robot has a camera with night vision capability and a speaker for situation recognition and assistance, an infrared sensor for landing assistance, and lights for night recognition. It also has an external power recharging system with solar energy. In the future, it is estimated that the drone would work in the province of Manu, located in the department of Madre de Dios, as it has different native communities, approximately 496 people, which are located in regions that are very difficult to access.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"68 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":"133076476","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

An Investigation into Faults of PV system using Machine Learning: A Systematic Review 基于机器学习的光伏系统故障研究综述

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118009

Ali S Zamzeer, M. Farhan, Haider TH. Salim AL Rikabi

{"title":"An Investigation into Faults of PV system using Machine Learning: A Systematic Review","authors":"Ali S Zamzeer, M. Farhan, Haider TH. Salim AL Rikabi","doi":"10.1109/ICAECT57570.2023.10118009","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10118009","url":null,"abstract":"Due to the ongoing maintenance required for consistent generation efficiency, the rapid expansion of photovoltaic (“PV”) energy generation as an alternative to conventional fossil fuel generation has spurred the search for more efficient and dependable operating and maintenance processes. As a result, the current study first discusses the many failure modes that all photovoltaic systems face, as well as the critical integrated detection techniques and technologies. Machine learning (ML) has demonstrated the functional potential to discover and categorize “PV” defects among the many methodologies. A thorough investigation of the integration of ML and “PV” system fault detection methods is undertaken in this article. The ability of the ML approach to managing a non-linear connection, identifying characteristics with identical signatures, and their online application has made FDD in “PV” systems more appealing in recent years. According to the survey, the most often used ML approaches in recent literature are SVM and ANN. In addition, the review study identifies key implementation issues and makes recommendations for further research.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"1 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":"130238871","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

Logistic Multilayer Perceptron Neural Network Classification based Driving Behavior Prediction through Vehicle Motion Data 基于Logistic多层感知器神经网络分类的车辆运动数据驾驶行为预测

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117579

M. Devi, R. Ranjani

{"title":"Logistic Multilayer Perceptron Neural Network Classification based Driving Behavior Prediction through Vehicle Motion Data","authors":"M. Devi, R. Ranjani","doi":"10.1109/ICAECT57570.2023.10117579","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117579","url":null,"abstract":"Traffic accidents are caused in effect through driver's negligent driving habits. Driving aggressively is a significant component that can rapidly result in risky driving. Safe and efficient erratic driving detection techniques, which allow for the creation of driving behavior analysis and early warning systems, are critically required in order to decrease traffic injuries and enhance road safety. With this motivation, this work uses “Vehicle motion dataset” which contains the motion information gathered by a phone affixed to the vehicle's accelerometer and gyroscope. This paper aims to forecast the driving behavior of the driver by suggesting “Logistic Multilayer Perceptron Neural Network (LMPNN)” uses the vehicle motion dataset retrieved from the KAGGLE database. The vehicle motion dataset consists of 8 features that collectively contain 3084 driving movement data. The LMPNN begins by interpreting exploratory data, which had been processed with insufficient data. The information was then divided in an 80:20 ratio for testing and learning. Geforce Nvidia V100 Graphics card processor with 30 learning iterations, each subject to a 64-batch threshold, was used to code Python scripts. To test the effectiveness of predicting driving behavior, the dataset was run through all the classifiers and a multilayer perceptron with relu, identity, tanh, and logistic activation layer. Execution results portrays that suggested LMPNN that is MLP model with logistic layer having 99% of Accuracy when compared to other existing classifiers.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"28 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":"114115753","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

Developing an Online Platform for Multimodal Lexical Learning for the Bengali Learners 孟加拉语学习者多模态词汇在线学习平台的开发

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117705

N. Dash, Srija Deb, Nirnoy Dutta, Meghna Majumder, Amrita Bhattacharyya, Subhadip Mondal, A. R. Pal

{"title":"Developing an Online Platform for Multimodal Lexical Learning for the Bengali Learners","authors":"N. Dash, Srija Deb, Nirnoy Dutta, Meghna Majumder, Amrita Bhattacharyya, Subhadip Mondal, A. R. Pal","doi":"10.1109/ICAECT57570.2023.10117705","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117705","url":null,"abstract":"The usability of a lexical database of a natural language on an online platform is in great demand in this new era of online language education. An interface of this kind can primarily serve three different purposes: first, it plays an operational role in new frame of multimodal education system; second, it partly fulfills the necessity of online lexical resources which are in increasing need in research and application in the field of language technology; and third, it becomes a useful and omnipresent resource for native and foreign language users who want to learn meanings and usages of words of a natural language for different personal, academic, philanthropic and commercial purposes. Keeping these applications in view, in this paper, we describe the process that we apply to develop an online platform for the Bengali WordNet, which offers a unique opportunity for multimodal lexical learning to the Bengali learners. The proposed work, that we want to present in this paper, has the potentials to fulfill all the three needs stated above. While the WordNet provides different kinds of information directly associated with words, the digital platform has a very sensitive user-friendly interface for the access of the lexical resources stored in the WordNet.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"146 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":"116384825","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

An Approach To Predict And Classify Retinopathy Stages In Diabetic Patients Using Deep Learning 一种利用深度学习预测和分类糖尿病视网膜病变分期的方法

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117960

V. Rani, A. V, Mamta Santosh

{"title":"An Approach To Predict And Classify Retinopathy Stages In Diabetic Patients Using Deep Learning","authors":"V. Rani, A. V, Mamta Santosh","doi":"10.1109/ICAECT57570.2023.10117960","DOIUrl":"https://doi.org/10.1109/ICAECT57570.2023.10117960","url":null,"abstract":"Diabetic-caused retinopathy is a disease that damages the blood vessels that are present in the part of retina of the eyes and might lead to permanent blindness in people who have diabetes. Ophthalmologists use the fundus images of the eyes, which are the patients identify this disease. However, manual detection of this abnormality is very time taking, cost-consuming, and has a higher probability of resulting in errors. Thus, to prevent this, a Deep Learning model is proposed to detect Diabetic caused retinopathy by using high-resolution fundus images which as a result decreases the chances of misdiagnosis. Initially, fundus images are pre-processed by using the Contrast limited adaptive histogram equalization (CLAHE) model and histogram-based segmentation model. In the next step, features from the pre-processed images are extracted. However, it becomes very difficult for the individual models to identify the behind features that are complicated and those can only classify Diabetic Retinopathy's various stages at low accuracy. Thus, to resolve this an ensemble of three deep Convolution Neural Network (CNN) models (Inceptionv3, Xception, and DenseNet121) is developed which will encode the rich features and improve the classification for different stages of DR like normal, mild, moderate, severe and PDR (Proliferative Diabetic Retinopathy). The results show that the proposed ensemble model detects all the Diabetic Retinopathy stages, not like the individual models and performs better comparatively. This improvement can thus reduce time, effort, and labor in healthcare services and will also increase the final decision accuracy.","PeriodicalId":338586,"journal":{"name":"2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"32 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":"116825522","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

Identification of Hopf Bifurcation Point Using Small Signal Stability Analysis in a Power System with Increased Load and Generation 负荷和发电量增加的电力系统中基于小信号稳定性分析的Hopf分岔点辨识

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10118189

Ghousul Azam Shaik, L. Aithepalli

引用次数: 0

A Study on Statistical Analysis for Performance Evaluation of Digital Watermarking 数字水印性能评价的统计分析方法研究

2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2023-01-05 DOI: 10.1109/ICAECT57570.2023.10117928

Anirban Saha, S. Roy, A. Basu, A. Chattopadhyay

引用次数: 0