2023 Second International Conference on Electronics and Renewable Systems (ICEARS)最新文献_第2页

Proposed Approach for Dynamic Automobile Traffic Management System 动态汽车交通管理系统的一种方法

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085231

Deepa Abin, Aditya Yadav, Prathamesh Bhagat, Harsh Mankar, Shubham Raut

引用次数: 0

MCSVM and MCRVM based Contingency Classification Model 基于MCSVM和MCRVM的事件分类模型

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085481

Shikha Prasher, Leema Nelson, A. S. Sindhu, S. Sumathi, Mukta Jagdish

{"title":"MCSVM and MCRVM based Contingency Classification Model","authors":"Shikha Prasher, Leema Nelson, A. S. Sindhu, S. Sumathi, Mukta Jagdish","doi":"10.1109/ICEARS56392.2023.10085481","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085481","url":null,"abstract":"In this study, a machine learning model for contingency classification of an energy system was developed. A greater cost reduction can be achieved from the huge amount of data extracted from the energy infrastructure, and analysis of early contingency detection is performed. The complexity of contingency analysis can be reduced by mining, which reduces the hardware use. In this research, two different machine learning algorithms, a Multi-Class Support Vector Machine (MCSVM) and a Multi-Class Relevance Vector Machine (MCRVM), are used to classify the different contingency levels using the mined data, which comprises the voltage, power generated, and angles from line. Combined data cleaning and analysis served as a data transformation technique. Principal Component Analysis (PCA) is used to reduce the dimensionality of data for classification. The trained model using Multi-class SVM and RVM was generated using the line data output mapped on the composite contingency index obtained from it. The model thus generated would act as a classification black box that would classify the condition as normal, alarming or lowly contingent. A MATLAB simulation was carried out on an IEEE 30 bus system and classification of the contingency into three levels of contingency was observed to be satisfactory.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"1 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":"128691432","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

Development of an Agro-Photovoltaic Transparent Solar Panel and DOCR for Agriculture and Grid System Usage 用于农业和电网系统的农业光伏透明太阳能电池板和DOCR的开发

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10084966

Md. Ether Deowan, Ahsan Kabir Nuhel, MD Jannatul Naim, Mir Mohibullah Sazid, Iftekhar Haider, Ferdous Alam, Priyanka Roy

引用次数: 0

Machine Learning Algorithms based Detection and Analysis of Stress - A Review 基于机器学习算法的应力检测与分析综述

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10084933

Ravi Raja A, Sistla Jyothirmy, Gottam Geethika, Seetha Bharath Sai, B. Saiteja, V. H. Prasad Reddy

引用次数: 1

Medium-Voltage Drives (MVD) - Pulse Width Modulation (PWM) Techniques 中压驱动(MVD) -脉冲宽度调制(PWM)技术

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10084995

Adil Alahmad, F. Kaçar, Ö. Farsakoğlu, C. P. Uzunoğlu

{"title":"Medium-Voltage Drives (MVD) - Pulse Width Modulation (PWM) Techniques","authors":"Adil Alahmad, F. Kaçar, Ö. Farsakoğlu, C. P. Uzunoğlu","doi":"10.1109/ICEARS56392.2023.10084995","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10084995","url":null,"abstract":"In order to keep up with rising customer demand, more and more MVDs are being used to fuel MV motors. Power delivery to a load may be modulated by changing the pulse width. A digital signal might be transformed into an analog one using the pulse width modulation (PWM) technique. A pulse-width modulated (PWM) signal, which takes the form of a rectangular wave, alternates between ON and OFF states. The characteristics of a pulse-width modulation (PWM) signal are determined by its frequency and duty cycle. The inverter's switching and harmonic losses may be minimized by using PWM technology. In order to cut down on switching loss, hybrid PWM inverters operate half of their switches at low frequencies while operating the other half at high frequencies. Because switching loss and heat dissipation from switches are unpredictable, system reliability is reduced. It's possible that switching will lead to poor heat dissipation and power losses. However, problems like these may be lessened with the use of a PWM technique. By alternating between low-frequency and high-frequency signals, the output voltage and frequency may be adjusted, which in turn reduces the power supply's harmonic content. Methods such as Multiple Space Vector Modulation, Selective Harmonic Elimination, Multilevel Carrier Phase Shifted, and Multilevel Carrier Level Shifted Pulse Width Modulation has been considered. However, although these methods effectively reduce higher-order harmonics, it is more complex to increase inverter efficiency in a way that does not introduce additional losses. To eliminate these harmonics, a filter is made. Comparisons are made between sinusoidal PWM, PWM with a phase angle of sixty degrees, and trapezoidal PWM in terms of performance. The study tracked the effects of modulation index and carrier frequency adjustments on inverter output.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"1 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":"130338339","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

An Efficient Machine Learning Approaches for Crop Recommendation based on Soil Characteristics 基于土壤特征的高效作物推荐机器学习方法

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085361

Sivanandam K, P. M, Naveen B, S. S

引用次数: 1

Analyzing the Bank Scam's Financial Fraud and its Technological Repercussions using Data Mining 利用数据挖掘分析银行诈骗的财务欺诈及其技术影响

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085354

Shilpa H.K

引用次数: 0

Image Security is Improved by Super Encryption using RSA and Chaos Algorithms 采用RSA和混沌算法对图像进行超级加密，提高了图像的安全性

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085142

Dhulipalla Venkata Rao, Sanepalli Pavan Kumar Reddy, Chidaraboina Anusha, Dendukuri Bhoomika, Rayalla Venkateswarlu

{"title":"Image Security is Improved by Super Encryption using RSA and Chaos Algorithms","authors":"Dhulipalla Venkata Rao, Sanepalli Pavan Kumar Reddy, Chidaraboina Anusha, Dendukuri Bhoomika, Rayalla Venkateswarlu","doi":"10.1109/ICEARS56392.2023.10085142","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085142","url":null,"abstract":"The need for image encryption is increasing as a result of the increased usage of the Internet and other communication tools. It is easy to attack and steal images sent over unsecured open channels. Techniques of encryption are necessary to safeguard the photos from attackers. In the modern period, the area of encryption is growing significantly. Given how dangerous cyber assaults become, image security is of the highest importance. One of the most well-liked methods to hide information is using image encryption. Based on various algorithms, there exist several ways for picture encryption. Some of them include the RSA algorithm, which offers faster encryption s peed and less security by encrypting data with public and private keys. Even though it takes longer, a different algorithm known as the Chaos-based algorithm offers greater picture security. The RSA and Chaos-based algorithms may be combined to produce advanced encryption, which gives high security in a shorter period of time. By using an RSA- generated key with a sufficient key s pace to thwart brute force attacks from succeeding, the encryption performance may increase without compromising the security.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"17 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":"121280280","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 Review on Disease Prediction Approach using Data Analytics and Machine Learning Algorithms 基于数据分析和机器学习算法的疾病预测方法综述

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085130

Anitha E, A. Antonidoss

{"title":"A Review on Disease Prediction Approach using Data Analytics and Machine Learning Algorithms","authors":"Anitha E, A. Antonidoss","doi":"10.1109/ICEARS56392.2023.10085130","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085130","url":null,"abstract":"Presently, the medical industry is facing a serious issue. Machine Learning (ML) is emerging as a solution to analyze large datasets and develop predictive modeling or pattern classification. With the knowledge provided, clinicians could manage unhealthy patients without having a comprehensive of the ailment. As a result, ailments are occasionally misinterpreted and inadequately treated. Researchers teach the system to ascertain the likelihood of the person's ailment based on the symptoms given by the doctor using the existing statistical model. ML is the area of computer science that would be expanding the greatest, and health informatics is quite difficult. A goal of ML is to create predictive algorithms to learn and improve over time. Numerous industries employ the ML approach but the healthcare sector has benefited significantly from them. To increase patient safety and healthcare quality, it provides a wide range of warning and decision-support technologies. The proposed approach, which was created using ML algorithms, aids in earlier disease prediction. Doctors would benefit from they get more acquainted with novel ailments. Due to this knowledge, doctors should be able to treat patients appropriately by switching between illnesses.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"101 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":"128138090","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

Traffic Aware Routing with Round Robin Technique for Equating the Load in Software Defined WSN 基于轮询技术的流量感知路由在软件定义WSN中的应用

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085019

R. Senkamalavalli, M. Nalini, G. Kalaimani, P. Iyyanar

{"title":"Traffic Aware Routing with Round Robin Technique for Equating the Load in Software Defined WSN","authors":"R. Senkamalavalli, M. Nalini, G. Kalaimani, P. Iyyanar","doi":"10.1109/ICEARS56392.2023.10085019","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085019","url":null,"abstract":"Multiple uses of Wireless Sensor Networks (WSNs) in the real world would need the probable dispersion of a large number of sensor nodes. The adaptability and flexibility is very difficult in the traditional WSNs which uses balancing load technology. Software-defined networking (SDN) is a good choice because it lets you see what resources are used and also set up boundaries. In WSN, the highest traffic load causes an overflow of the data queue. As a result, important data should be lost. Also, the sensor node’s energy is rapidly drained, and the whole network’s lifespan is damaged. Traffic-aware routing with round robin technique (TARR) for equating the load in a software-defined WSN is proposed to solve this problem. The network contains two significant functions, namely, the formation of the network and the action of the network. This approach recognizes the traffic by obtaining or forwarding packets via control and data messages. In this approach, the round-robin technique is used during congestion situations. Thus, the data is forwarded constantly. As a result, the recipient node receives all data packets efficiently. The results of the simulation demonstrate that the TARR technique boosts network throughput while simultaneously reducing both packet loss and latency in a software-defined WSN.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"8 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":"122275372","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