2023 Second International Conference on Electronics and Renewable Systems (ICEARS)最新文献_第7页

Solar PV based High Gain Converter for Microgrid Applications 微电网应用太阳能光伏高增益变换器

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085187

M. Shunmathi, S. Fusic, V. Jayshree, K.J.V. Aishwarya, G. Sharanya

引用次数: 1

A Novel Technique for Evaluating Optimal Power Flow and SVC Performance using the ABC Algorithm 一种利用ABC算法评估最优潮流和SVC性能的新技术

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085237

N. Kalpana

引用次数: 0

Support Vector based classification for Adaptive Channel Equalization 基于支持向量的自适应信道均衡分类

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085218

D. Diana, R. Hema, G. N. Kumar, R. Rohith Kumar

引用次数: 0

Design of Drowsiness and Yawning Detection System 睡意和打哈欠检测系统的设计

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085310

Vishwas Dehankar, Pranjali M. Jumle, S. Tadse

引用次数: 1

Systematic Review on Humanizing Machine Intelligence and Artificial Intelligence 人性化机器智能与人工智能系统综述

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10084967

Juby Abraham, George Joseph Cherian, N. Jayapandian

{"title":"Systematic Review on Humanizing Machine Intelligence and Artificial Intelligence","authors":"Juby Abraham, George Joseph Cherian, N. Jayapandian","doi":"10.1109/ICEARS56392.2023.10084967","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10084967","url":null,"abstract":"In this era, Machine Learning is transforming human lives in a very different way. The need to give machines the power to make decisions or giving the moral compass is a big dilemma when humanity is more divided than it has ever been. There are two main ways in which law and AI interact. AI may be subject to legal restrictions and be employed in courtroom procedures. The world around us is being significantly and swiftly changed by AI in all of its manifestations. Public law includes important facets such as nondiscrimination law and labor law. In a manner similar to this when artificial intelligence (AI) is applied to tangible technology like robots. In certain cases, artificial intelligence (AI) might be hardly noticeable to customers but evident to those who built and are using it. The behavior research offers suggestions for how to build enduring and beneficial interactions between intelligent robots and people. The human improvement is main obstacles in the development and implementation of artificial intelligence. Best practices in this area are not governed by any one strategy that is generally acknowledged. Machine learning is about to revolutionize society as it is know it. It is crucial to give intelligent computers a moral compass now more than ever before because of how divided mankind is. Although machine learning has limitless potential, inappropriate usage might have detrimental long-term implications. It will think about how, for instance, earlier cultures built trust and improved social interactions via creative answers to many of the ethical issues that machine learning is posing now.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"52 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":"126913665","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

Identification of Driver Drowsiness Detection using a Regularized Extreme Learning Machine 基于正则化极限学习机的驾驶员困倦检测识别

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085032

Ravi Mohan, S. Chalasani, S. Suma Christal Mary, Amit Chauhan, S. Parte, S. Anusuya

引用次数: 0

Design and Methodology of LOD and LOPD using Evolutionary Algorithm 基于进化算法的LOD和LOPD设计与方法

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085297

C. Mythili, M. Yazhini Nivethitha

引用次数: 0

Characteristics Study of Capacitive Sensor to Identify Native Breed Cow Milk 电容式传感器识别本地品种牛奶的特性研究

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085056

Haritha J, B. T, B. S, Darshan S, A. A., Mooses Pradeep A

{"title":"Characteristics Study of Capacitive Sensor to Identify Native Breed Cow Milk","authors":"Haritha J, B. T, B. S, Darshan S, A. A., Mooses Pradeep A","doi":"10.1109/ICEARS56392.2023.10085056","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085056","url":null,"abstract":"The predominant genotype in Indian native breeds of cows and buffaloes is A2A2, meaning they produce A2 milk. Cow milk has calcium, phosphorus, rich fats, potassium which helps to maintain blood pressure. This work focuses on the capacitive sensor method to identify the native breed cow milk from different varieties of milk. The milk variety taken for study are Holstein Friesian(HF), Girr, Jersey and Native breed. This study is carried out using parallel plate capacitor and cylindrical type capacitor. The parameters taken for study are capacitance, magnitude and phase value for both the type of capacitors. The results show that parallel plate capacitor characteristics provides differentiation of milk samples in capacitance at 1kHz frequency and in magnitude values of impedance at 100Hz and 120Hz frequencies. The characteristics of the cylindrical capacitor shows clear identification of native breed in magnitude of impedance at all the frequency from 100Hz to 100kHz but in capacitance value the difference is very low at all the frequency range. Hence, by considering capacitance as a parameter, parallel plate capacitor characteristics provide better results at 1kHz frequency compared to the cylindrical capacitor.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"94 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":"117341310","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 Analytical Approach to Fraudulent Credit Card Transaction Detection using Various Machine Learning Algorithms 使用各种机器学习算法的信用卡欺诈交易检测分析方法

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085157

Yuhes Raajha. M. R, K. A, Rajkumar. D, R. Reshma, Dr. R. Santhosh, N. Mekala

{"title":"An Analytical Approach to Fraudulent Credit Card Transaction Detection using Various Machine Learning Algorithms","authors":"Yuhes Raajha. M. R, K. A, Rajkumar. D, R. Reshma, Dr. R. Santhosh, N. Mekala","doi":"10.1109/ICEARS56392.2023.10085157","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085157","url":null,"abstract":"Technology and the revolution in communication have increased the popularity of digital money usage. Most of the monetary transactions currently take place digitally. It is more convenient and increases the ease for the user. But one major problem in digital money and credit card usage is security. With the increase in credit card usage, security issues increase correspondingly. Many studies and research work are going on to avoid and prevent such practices from taking place. Moreover, various studies on real-international credit scorecard statistics are attributable to confidentiality issues. This paper focuses on current credit card fraud practices and fraud detection methods implemented in real time. Different ML algorithms like fuzzy-based SVM (FSVM), random forest (RF), logistic regression (LR), and support vector machine (SVM) for fraudulent transaction detection on the dataset collected from credit card users have been used to classify legitimate and fraudulent transactions. The comparative analysis of the credit card fraud detection scheme using these classification models was performed with precision, accuracy, sensitivity, and specificity. The comparative analysis outcomes showed that the highest performance was given by the FS VM over other algorithms with an accuracy of 98.61%.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"117 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":"133994543","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

Diagnosis of Vitamin Deficiency in Human Beings using DNN Algorithm 用DNN算法诊断人体维生素缺乏症

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085334

E. K, S. K

{"title":"Diagnosis of Vitamin Deficiency in Human Beings using DNN Algorithm","authors":"E. K, S. K","doi":"10.1109/ICEARS56392.2023.10085334","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085334","url":null,"abstract":"The proposed RCNN-based classification system for vitamin deficiency in skin surface microscopy images involves several important steps. The first step is to extract relevant features from the images, which in this case will be border/edge information obtained through the use of Blur Trace (BT) techniques. The BT analysis is a powerful tool for extracting meaningful information from images, and it has been shown to be effective in pattern recognition tasks similar to the one being proposed here. The next step in the process is to perform preprocessing on the images to remove unwanted elements such as hair and noise. This is achieved through the use of nonlinear filtering, specifically median filtering, which has been chosen for its superior performance compared to linear filtering methods. The filtered images are then analyzed to extract energy characteristics that are used to accurately categorize the patterns of vitamin deficiency present in the images. The final stage of the system is the classification of the dermoscopy image into one of the predefined categories, such as Normal, Benign, or Malignant. This is accomplished through the use of the RCNN, which has been trained on the features extracted from the images. The RCNN is a highly advanced machine learning algorithm that has been shown to perform well in a wide range of pattern recognition tasks, making it an ideal choice for this application. The ultimate goal of this research is to contribute to the field of dermatology by improving the accuracy of diagnosing vitamin deficiency and enhancing therapy efficacy through the use of cutting-edge imaging technology. By combining the power of the RCNN with the capabilities of the BT analysis, it is expected that a highly accurate and effective classification system will be developed, which will benefit patients and healthcare practitioners alike.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"53 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":"131719743","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