2023 Second International Conference on Electronics and Renewable Systems (ICEARS)最新文献_第9页

Agri-IoT: A Farm Monitoring and Automation System using Internet of Things 农业物联网:使用物联网的农场监控和自动化系统

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085235

Vijaya Vardan Reddy S, B. Jaison, A. Balaji, D. Indumathy, S. Vanaja, J. J. Jeya Sheela

引用次数: 1

Financial Crisis Prediction using Feature Subset Selection with Quantum Deep Neural Network 基于量子深度神经网络特征子集选择的金融危机预测

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085208

T. Balachander, Nazia Akhlaq, Rohit Bansal, S. A. Vasani, Kamlesh Singh, Raja Mannar Badur

{"title":"Financial Crisis Prediction using Feature Subset Selection with Quantum Deep Neural Network","authors":"T. Balachander, Nazia Akhlaq, Rohit Bansal, S. A. Vasani, Kamlesh Singh, Raja Mannar Badur","doi":"10.1109/ICEARS56392.2023.10085208","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085208","url":null,"abstract":"In the process, financial decisions are mostly dependent upon the classification system that is employed for allocating a group of observations into stable groups. A different group of data classification systems can be projected to forecast the financial crisis of institutions utilizing the previous data. An important procedure concern the design of precise financial crisis prediction (FCP) method containing the best of proper variables (features) which are connected to the problems at hand. It is called a feature selection (FS) problem which helps for improvising the classification outcomes. Also, computational intelligence systems are utilized as classifier methods for determining the financial crisis of organizations. Therefore, this study develops an automated FCP using FS with quantum deep neural network (FCPFS-QDNN) technique. The FCPFS-QDNN technique intends to predict the financial crisis via the choice of FS and ML models. Initially, the FCPFS -QDNN technique normalizes the input financial data into a scalar format. For FS process, the FCPFS-QDNN technique uses interactive search algorithm based FS (ISA-FS) technique to choose feature subsets. Finally, QDNN model is applied to the predictive process in the financial sector. The experimental output exhibit that the inclusion of FS and ML has promising influence on enhancing the predictive results of the FCPFS-QDNN technique in terms of different measures.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"34 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":"116311573","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

Intelligent Email Automation Analysis Driving through Natural Language Processing (NLP) 基于自然语言处理(NLP)的智能电子邮件自动化分析

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085351

C. Sathish, A. Mahesh, N. Karpagam, R. Vasugi, J. Indumathi, T. Kanchana

{"title":"Intelligent Email Automation Analysis Driving through Natural Language Processing (NLP)","authors":"C. Sathish, A. Mahesh, N. Karpagam, R. Vasugi, J. Indumathi, T. Kanchana","doi":"10.1109/ICEARS56392.2023.10085351","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085351","url":null,"abstract":"Electronic Mail (E-mail) is a technique for interchange messages between individuals utilizing electronic gadgets. Electronic Mail in the current scenario turned out to be a universal communication medium, and to the point of view it prevails that, an email address has much of the importance and treated as a vital. It is essential for any speedy communications in the business, government, trading, diversion, and different circles of day-to-day requisites. In addition to the mail a spam message is an instant message for promoting a specific item or administration is a very uncomfortable to the users. Most email spam messages are business in nature. Regardless of whether business, many are irritating, yet in addition risky in light of the fact that they might contain joins that lead to phishing sites or destinations that are facilitating malware - or incorporate malware as document connections. These spam messages from unknown person is often happening. These messages can either be avoided or considered after translating it using this message analysis method. Message Analysis separates the messages into spam messages and non-spam messages. In this process, by analyzing the senders' ID or number, non-spam messages are categorized based on languages and language detection. After categorization, the categorized messages can either managed by translating the messages or ignored. A reply can be sent to the received messages on ones preferred language, while typing the message, the content will be analyzed based on certain properties like grammatical errors, sentiment analysis, spelling correction and so on. The reply message will then be translated to the received message language and delivered. These problems are intended to be addressed by using the Natural Language Processing (NLP) techniques.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"352 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":"116356342","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

Improving Bandwidth & Gain using Trapezoidal Microstrip Feed with X-Shape DRA 利用x形DRA梯形微带馈电提高带宽和增益

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085517

B. Pujitha, Shaik Nausheen, Haneesha Perusomula, Surapaka Alekhya, Ch. Swapna, Akaramsetty Narendra Kumar

引用次数: 0

Biometric Aided Intelligent Security System Built using Internet of Things 利用物联网构建生物识别辅助智能安防系统

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085572

R. Josphineleela, D. Lekha, L. Natrayan, K. Purohit

引用次数: 0

Conventional Protection of Power Transformers at Distribution Grid Side using Artificial Neural Network 基于人工神经网络的配电网侧电力变压器常规保护

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085631

Shankar B B, Harshitha Bhat, S. Poornima, R. Bharanidharan, M. Sridharan, Ayan Banik

引用次数: 0

Machine Learning based Candidate Recommendation System using Bayesian Model 基于贝叶斯模型的机器学习候选推荐系统

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085615

Gesmond George Manuval, Thomas T George, Bilha P Aby, Mohith Mathew, Ayush Sarath Chandran, N. Jayapandian

{"title":"Machine Learning based Candidate Recommendation System using Bayesian Model","authors":"Gesmond George Manuval, Thomas T George, Bilha P Aby, Mohith Mathew, Ayush Sarath Chandran, N. Jayapandian","doi":"10.1109/ICEARS56392.2023.10085615","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085615","url":null,"abstract":"Online websites that recommend books, music, movies, and other media are becoming increasingly prevalent because of collaborative filtering. This online websites are using many algorithms to provide the better recommendation to attract the customer. Bayesian statistics, which is based on Bayes' theorem, is a technique for data analysis in which observable data are used to update the parameters of a statistical model. To discuss a strategy called item-based collaborative filtering, which bases predictions on the similarities between the said objects. This uses Machine Learning based Candidate Recommendation System which uses Bayesian Model database to assess the proposed method. The actual results show that for collaborative filtering which is based on correlation, the Bayesian techniques we have proposed outperform traditional algorithms. Also discuss a technique for improving prediction accuracy that combines the Simple Bayesian Classifier with user- and item-based collaborative filtering. The user-based recommendation is then applied to the matrix once the user-item rating matrix has been filled out with pseudo-scores produced by the item-based filter. This model is demonstrated that the combined approach outperforms the individual collaborative recommendation approach. The creation of UI based web application will help Students to manage achievement details. Job seekers and admin will be given a separately formatted version of the application where, students can upload and view their certificate, wherein admin can access student achievement details categorized by different parameters. This proposed model is developed under the service learning scheme to benefit both job seeker and recruiter.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"26 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":"115605939","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

Evaluation of Different Methods used to Clean Solar Panel Surface 太阳能电池板表面不同清洁方法的评价

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085478

Arti Badhoutiya

引用次数: 0

Dual Control of Single-Phase Grid-Connected PV System for Harmonics Mitigation 单相并网光伏系统谐波抑制的双重控制

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085052

Bhagya Lakshmi Badela, Srinivas Vudumudi, Narasimha Rao Kolipaka

引用次数: 0

Blockchain for Securing Autonomous Vehicles 区块链保护自动驾驶汽车

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI: 10.1109/ICEARS56392.2023.10085685

S. Rajendar, Udhayakumar Thangavel, Sarvesh Devendran, Vaishnavi Selvi, Shanmuga Sundaram Muthumanickam

{"title":"Blockchain for Securing Autonomous Vehicles","authors":"S. Rajendar, Udhayakumar Thangavel, Sarvesh Devendran, Vaishnavi Selvi, Shanmuga Sundaram Muthumanickam","doi":"10.1109/ICEARS56392.2023.10085685","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085685","url":null,"abstract":"Autonomous Vehicles (AVs) are perceived as a revolutionary development in the worldwide transport sector and are believed to enhance safety significantly. An AV is equipped with a range of advanced technologies that allow it to communicate with other vehicles, as well as with various other systems and infrastructure such as traffic lights, road signs, and other Road-Side Units (RSUs). AVs also employ a variety of communication channels for their operation and safety. The major concerns in such communication channels are reliability, precision, and security of received and broadcasted data. These concerns directly affect the safety and security aspects of an AV which endangers the passenger safety. Thus, AVs require a secure mechanism for the exchange of crucial data. This paper explores the utilization of blockchain technology in AV communication, enabling authorized access to data, facilitating secure data sharing among vehicles and RSUs, tracking the internal status of the vehicle for In-Vehicle Network (IVN) breaches, along with the architecture of the system. Moreover, the paper outlines the implementation challenges and future research of blockchain technology in AVs.","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":"128183031","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