Electrical and Automation Engineering最新文献_第2页

Data Processing Method for Artificial Neural Network ANN Based Microgrid Protection Model 基于人工神经网络的微电网保护模型数据处理方法

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/ese/2/1/8

Baidya Sanghita, Nandi Champa

{"title":"Data Processing Method for Artificial Neural Network ANN Based Microgrid Protection Model","authors":"Baidya Sanghita, Nandi Champa","doi":"10.46632/ese/2/1/8","DOIUrl":"https://doi.org/10.46632/ese/2/1/8","url":null,"abstract":"Effective fault detection and isolation technologies are very necessary for uninterrupted power supply and for making a flexible protection scheme. Almost all protection schemes in the power system are based on data exchange among protection units through a strong communication structure. Thus, it is important to deal with a large amount of data. Artificial Intelligence (AI) is one of the key factors in this regard. AI has several sections and Artificial Neural Network (ANN) is one of them. It is suggested to implement the ANN-based models while working with big data. The existing protection models are facing difficulties while trying to deal with big data. Thus ANN-based approaches have come into the front line in advanced power system networks. The performance of the ANN model is depending on the training of the data set. Hence in this work, we are focusing on preparing the data to provide input in the ANN model. The principal component analysis (PCA) method is applied here for reduced the dimension of a large number of data sets. The new data set is used to run the k-means clustering algorithm. It is shown that the clustering is more accurate with the processed data set by PCA. Therefore, the prepared data set is used to run the ANN model that has a smaller size with higher information and minimum computational time. This study shows the data preparation part to train the ANN model.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115515901","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

A Low-Cost and Dual band Microstrip Patch Antenna for Ku and K Band Applications 用于Ku和K波段应用的低成本双频微带贴片天线

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/6

A. Suneel Kumar, R. Lakshmi Swarna Prasanna, V. Nandini, T. Dharma Teja, S. Sai

引用次数: 0

A Comprehensive Study on Crop Recommendation System for Precision Agriculture Using Machine LearningAlgorithms 基于机器学习算法的精准农业作物推荐系统综合研究

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/5

Vutukuru Keerthi Reddy, Vanmalli Varshini, N. Gireesh, M. Venkata Naresh

{"title":"A Comprehensive Study on Crop Recommendation System for Precision Agriculture Using Machine Learning\u0000Algorithms","authors":"Vutukuru Keerthi Reddy, Vanmalli Varshini, N. Gireesh, M. Venkata Naresh","doi":"10.46632/eae/2/1/5","DOIUrl":"https://doi.org/10.46632/eae/2/1/5","url":null,"abstract":"Crop recommendation is among the most crucial components of the field known as precision agriculture. The crop recommendations were formulated after considering a wide range of distinct considerations. The term \"precision agriculture\" refers to a method of contemporary farming that makes use of information on soil features, soil kinds, and other factors, such as crop yields, and weather conditions to provide farmers with recommendations regarding the types of crops that would be most beneficial to grow on their farms to achieve the highest possible levels of both yield and profit. The crop recommendation system is currently being built with the use of machine learning methods including Random Forest, Gradient Boosting, XG Boost, Light GBM, SVM, and decision tree. The process of identifying the best crop to produce is aided by the information that consists of qualities such as potassium (K), phosphorous (P), and nitrogen (N) as well as temperature, humidity, pH, and rainfall. This application will be of assistance to farmers in enhancing agricultural output, minimizing the deterioration of soil on the cultivated ground, reducing the number of chemicals used in agricultural production, and increasing the productivity of cultivated land with available water resources. Also, this application recommends the top 5 prioritized crops to farmers. XG Boost achieved the best accuracy of 99.500 out of all these classifiers that were utilized in this paper. It also achieved the highest recall score of 99.545455, a precision score of 99.564935, and an F1 score of 99.545669.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127722915","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

The Impact of Serial Controllable Facts Devices on Voltage Stability 串行可控事实器件对电压稳定性的影响

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/3

K. Sujeeth Kumara, J. Sathwikab, B. Sruthic, R. Pravachand, B. Vijay kumare

{"title":"The Impact of Serial Controllable Facts Devices on Voltage Stability","authors":"K. Sujeeth Kumara, J. Sathwikab, B. Sruthic, R. Pravachand, B. Vijay kumare","doi":"10.46632/eae/2/1/3","DOIUrl":"https://doi.org/10.46632/eae/2/1/3","url":null,"abstract":"As the world's population continues to grow, the demand for electricity is also increasing rapidly. Ensuring the quality of power supply, voltage stability, unity power factor, and minimizing power losses is essential for delivering power to every user end. In order to achieve this, compensation techniques are needed. This project focuses on Serial controllable Flexible AC Transmission Systems (FACTS) devices, such as Controllable Series Compensator (CSC) and Static Synchronous Series Compensator (SSSC), which have a significant impact on the voltage and power stability of an electric power system (EPS). The mathematical derivation of the voltage dependency of CSC and SSSC is extracted for the single-load infinitive-bus model (SLIB). New analytical equations are developed to compare the impact of CSC and SSSC on voltage stability in a five-bus system. The results of the analysis are expected to reveal that CSC has a crucial role to play in enhancing voltage stability, and its impact is greater than that of SSSC when considering equal CSC and SSSC MVA ratings. When it comes to voltage controllability, SSSC (Static synchronous series compensator) is superior to CSC (Controllable Series Compensator), especially in situations where there are having low voltages or having low loads.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134191385","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

Controlling Media Player Using Hand Gestures 使用手势控制媒体播放器

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/7

K. Chakradhar, Prasanna Rejinthala Lakshmi, salla chowdary Sree Rama Brunda, Bharath Pola, Bhargava Petlu

引用次数: 0

Empirical Wavelet Transform Method for Enhancement of Medical Image Fusion 基于经验小波变换的医学图像融合增强方法

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/ese/2/1/10

Nagendra Reddy Nelaturi, Jayalakshmi Bitra, Rao Goli Srinivasa

{"title":"Empirical Wavelet Transform Method for Enhancement of Medical Image Fusion","authors":"Nagendra Reddy Nelaturi, Jayalakshmi Bitra, Rao Goli Srinivasa","doi":"10.46632/ese/2/1/10","DOIUrl":"https://doi.org/10.46632/ese/2/1/10","url":null,"abstract":"The process of creating an image's emulsion is selecting the crucial details from numerous images and combining them into smaller images, often one bone. In the areas of satellite imaging, remote seeing, target shadowing, medical imaging, and many other areas, image emulsion is quite useful. This design tries to illustrate how Empirical Wavelet transfigures work when used with the Simple Average Emulsion Rule to emulsify multi-focus images. The suggested approach has been tested using common datasets for merging images with various focal points. Empirical Wavelet Transform is primarily a method that uses an adaptive approach to produce a Multi-Resolution Analysis of the signal. The effectiveness of the suggested approach is calculated in a variety of ways. Visual perception and the evaluation of common quality metrics, such as Root Mean Squared Error, Entropy, and Peak Signal to Noise ratio, are used to compare the performance of the proposed system. The proposed fashion based on the Empirical Wavelet Transform (EWT) outperforms the existing methods, according to the study of the experimental results. According to the suggested criteria, the fused image's entropy should be higher than the component images' because the emulsion's efficiency decreases as entropy increases. This technique takes MRI and CT scans into account.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"13 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132382958","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

Pulse Monitoring System 脉搏监测系统

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/4

M. Jyothirmai, M. Jyothi

引用次数: 0

Data Processing Method for Artificial Neural Network ANN Based Micro grid Protection Model 基于人工神经网络的微电网保护模型数据处理方法

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/ese/2/1/18

Baidya Sanghita, Nandi Champa

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引用次数: 0

Implementation of Driver Drowsiness Detection and Accident Prevention System Using Wireless Sensors 基于无线传感器的驾驶员困倦检测与事故预防系统的实现

Electrical and Automation Engineering Pub Date : 2023-03-01 DOI: 10.46632/eae/2/1/1

引用次数: 0

Wi-Fi Door Lock Using Esp32 Cam and Blynk 使用Esp32摄像头和Blynk的Wi-Fi门锁

Electrical and Automation Engineering Pub Date : 2023-03-01 DOI: 10.46632/eae/2/1/18

P. Divya, V. Devaraj, V. Aswin

引用次数: 0