2022 International Conference on Electronics and Renewable Systems (ICEARS)最新文献_第9页

Identifying Fake News using Machine Learning 利用机器学习识别假新闻

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9751864

D. J. Babu, G. Sushmitha, D. Lasya, D. G. Krishna, V. Rajesh

引用次数: 1

Dynamic Tree Routing Protocol with Convex Hull Optimization for Optimal Routing Paths 最优路径的凸包优化动态树路由协议

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752367

Cuddapah Anitha, C. Sivakumar, V. Rajasekar, S. Velliangiri

{"title":"Dynamic Tree Routing Protocol with Convex Hull Optimization for Optimal Routing Paths","authors":"Cuddapah Anitha, C. Sivakumar, V. Rajasekar, S. Velliangiri","doi":"10.1109/ICEARS53579.2022.9752367","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752367","url":null,"abstract":"Wireless sensor networks (WSN) benefit from their ability to deploy many smaller autonomous nodes without an infrastructure. The sensor nodes collect information from the physical world after deployment and according to a given protocol for communication. A strong technique for a wide range of applications of various needs has arisen as WSN is regarded important in all fields. But a few obstacles still remain until a mature technology finally emerges. The energy limitation is one of the major concerns in sensor nodes, where batteries are the primary source of power. A vast majority of work has been carried out in this context in order to provide a wide range of energy efficiency approaches. In this work, we adopt a method to find the effects of parameters contributing to energy consumption in WSNs using an optimal energy modelling. A dynamic tree routing protocol with convex hull optimization is adopted. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126785329","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

Delay Flip Flop based Phase Frequency Detector for Power Efficient Phase Locked Loop Architecture 基于延时触发器的高效锁相环相频检测器

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752249

P. Nagarajan, N. A. Kumar, Joshuva Arockia Dhanraj, T. S. Kumar, Mohana Sundari L

{"title":"Delay Flip Flop based Phase Frequency Detector for Power Efficient Phase Locked Loop Architecture","authors":"P. Nagarajan, N. A. Kumar, Joshuva Arockia Dhanraj, T. S. Kumar, Mohana Sundari L","doi":"10.1109/ICEARS53579.2022.9752249","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752249","url":null,"abstract":"Phase frequency detector is one of the basic building blocks for Phase Locked Loop (PLL) architecture. The power efficient Delay flip-flop based Phase frequency detector topology is proposed with two parallel clocked latches by following twin latch parallel paradigm method. To construct the latching sections of the circuit, the power reduction techniques such as reducing the numbers of transistors and spilt path technique are incorporated, which leads to reduction of dynamic power and short circuit power consumption respectively. The twin latch paradigm method improves the performance of the system interms of speed due to the sampling of input data at both positive and negative edge arrival of the clock signal. The proposed topology is implemented in MICROWIND EDA tool and evaluated by simulating the circuit under 0.12µm CMOS process technology. The simulation infers that the proposed design achieves power saving from 28.57% to 33.82%, improvement of power energy product ( PEP) from 0.6% to 2.5% and Power area product (PAP) from 10.66% to 12.6% compared to conventional phase frequency detectors.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126072934","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: 7

IoT based Digital Production Counting System 基于物联网的数字生产计数系统

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752399

Vaishali. B Niranjane, Utkarsha Shelke, Saili Shirke, Srushti Dafe

{"title":"IoT based Digital Production Counting System","authors":"Vaishali. B Niranjane, Utkarsha Shelke, Saili Shirke, Srushti Dafe","doi":"10.1109/ICEARS53579.2022.9752399","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752399","url":null,"abstract":"The Objective of this research is to Design and build a IoT Base Digital Production Counting system. It decreases the likelihood of counting errors and improve counting accuracy, which is used in big enterprises since it outperforms human techniques. Production manufacturing and counting can be a time-consuming process that includes quality control, large-scale analysis, and quantity measurement. The classification especially supports the quantity factor, or production rate which is accomplished by human resource present in industry with having either a max or min rate of production but keeping the exact count throughout the manufacturing process is still impossible. The quantity outcome is an important factor in steadfast the industry's economic growth and financial health. As IoT is quickly growing as the next phase of the Internet's development, it's becoming more necessary than ever to understand the several prospective domains for IoT operations. Since the previous few decades, technology has played an increasingly important role in our daily lives. As IOT is developed, industries can increase productivity and data collection efficiency. In order to improve production demographics this project aims to count the multiple products which are counted by IR sensor using IR interruption concept and Microcontroller is used here to keep track of a huge number of items and display on a LCD display as well as upload the data on web via Node MCU (IOT Module)","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126085598","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

Design and Deployment of Hybrid Electric Vehicle 混合动力汽车的设计与部署

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752094

Harpreet Singh Matharu, Vaibhav Girase, D. Pardeshi, P. William

引用次数: 22

An Extensive Study on Pretrained Models for Natural Language Processing Based on Transformers 基于变形器的自然语言处理预训练模型的广泛研究

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752241

M. Ramprasath, K. Dhanasekaran, T. Karthick, R. Velumani, P. Sudhakaran

{"title":"An Extensive Study on Pretrained Models for Natural Language Processing Based on Transformers","authors":"M. Ramprasath, K. Dhanasekaran, T. Karthick, R. Velumani, P. Sudhakaran","doi":"10.1109/ICEARS53579.2022.9752241","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752241","url":null,"abstract":"In recent years, Pretraining Language Models based on Transformers -Natural Language Processing (PLMT-NLP) have been highly successful in nearly every NLP task. In the beginning, Generative Pre-trained model-based Transformer, BERT- Bidirectional Encoder model Representations using Transformers was used to develop these models. Models constructed on transformers, Self-supervise knowledge acquiring, and transfer learning establish the foundation of these designs. Transformed-based pre-trained models acquire common linguistic illustrations from vast amounts of textual information through self-supervised model and apply this information to downstream tasks. To eliminate the need to retrain downstream models, these models provide a solid foundation of knowledge. In this paper, the enhanced learning on PLMT-NLP has been discussed. Initially, a quick introduction to self-supervised learning is presented, then diverse core concepts used in PLMT-NLP are explained. Furthermore, a list of relevant libraries for working with PLMT-NLP has been provided. Lastly, the paper discusses about the upcoming research directions that will further improve these models. Because of its thoroughness and relevance to current PLMT-NLP developments, this survey study will positively serve as a valuable resource for those seeking to understand both basic ideas and new developments better.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430109","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

Preventive Measures to Secure Arc Fault using Active and Passive Protection 采用主动和被动保护防止电弧故障的措施

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9751968

A.B. Bornare, S. Naikwadi, D. Pardeshi, P. William

引用次数: 17

Logical Mining Assisted Heart Disease Prediction Scheme in Association with Deep Learning Principles 基于深度学习原理的逻辑挖掘辅助心脏病预测方案

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9751820

V. Kannagi, M. Rajkumar, I. Chandra, K. Sangeethalakshmi, V. Mohanavel

{"title":"Logical Mining Assisted Heart Disease Prediction Scheme in Association with Deep Learning Principles","authors":"V. Kannagi, M. Rajkumar, I. Chandra, K. Sangeethalakshmi, V. Mohanavel","doi":"10.1109/ICEARS53579.2022.9751820","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751820","url":null,"abstract":"An estimated 350 million young adults (between the ages of 30 and 40) would have heart disease by 2030, according to the WHO. These individuals will be at risk for renal problems, stroke, as well as peripheral vascular disease. Heart disease is the leading cause of death in the modern era. Most individuals cannot afford the high expense of heart disease therapy. Because of this, a Heart Disease Prediction Scheme can help alleviate this issue. It aids in the earlier detection of cardiovascular disease. For the development of the Heart Disease Prediction Scheme, data mining methods are employed. A variety of healthcare data formats, including pictures, text, charts, and figures, are used in various systems. To diagnose cardiac disease early, we examine risk factors including system conditions. the selection of risk predictors, the use of efficient methods for identifying and extract key information to describe aspects of developing a prediction model We can quickly diagnose heart illness with multiple features and risk factor specifications using the new technique called Intelligent Learning Assisted Support Vector [ILASV]. Mining concepts are used to identify high-risk variables for heart disease based on these criteria. Fast and accurate illness predictions will be made possible by the application of data mining methods.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129088971","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

A Robust Information Security Model to Preserve Data Integrity in Cloud Computing Environment 云计算环境下保持数据完整性的鲁棒信息安全模型

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752082

U. N. V. P. Rajendranath, Ngangbam Phalguni Singh, B. Manimaran, V. Mohanavel, K. Dhivya

{"title":"A Robust Information Security Model to Preserve Data Integrity in Cloud Computing Environment","authors":"U. N. V. P. Rajendranath, Ngangbam Phalguni Singh, B. Manimaran, V. Mohanavel, K. Dhivya","doi":"10.1109/ICEARS53579.2022.9752082","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752082","url":null,"abstract":"With the fast growth of cloud computing, more and more clients want to store their data on PCS (public cloud servers). More clients will benefit from using the public cloud if new security issues can be addressed. PCS's proxy will process the client's data and upload it if he is unable to access PCS. Data storage on remote servers must be protected, and cloud computing is a major factors in determining how this might be done. The data owners and users may rest certain that their data is safe and secure thanks to the usage of authentication and authorization mechanisms. A New proof assisted trustworthy data management method, which enables owners of data to send the information into server using Modified Cryptographic Standards MCS, RSA and others. These systems allow the data owner and the data users to keep and retrieve the data to and from the server successfully. Secure cloud computing methods preserve data on a distant server with suitable permission and authentication systems, as well as providing trust-based services to its customers with the highest level of security.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926957","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

Automated Bird Species Identification using Audio Signal Processing and Neural Network 基于音频信号处理和神经网络的鸟类物种自动识别

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752136

Samruddhi Bhor, Rutuja Ganage, Omkar Domb, Hrushikesh Pathade, Shilpa P. Khedkar

{"title":"Automated Bird Species Identification using Audio Signal Processing and Neural Network","authors":"Samruddhi Bhor, Rutuja Ganage, Omkar Domb, Hrushikesh Pathade, Shilpa P. Khedkar","doi":"10.1109/ICEARS53579.2022.9752136","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752136","url":null,"abstract":"Now a days bird population is changing drastically because lots of reasons such as human intervention, climate change, global warming, forest fires or deforestation, etc., With the help of automatic bird species detection using machine learning algorithms, it is now possible to keep a watch on the population of birds as well as their behavior. Because manual identification of different bird species takes a lot of time and effort, an automatic bird identification system that does not require physical intervention is developed in this work. To achieve this objective, Convolutional Neural Network is used as compared to traditionally used classifiers such as SVM, Random Forest, SMACPY. The foremost goal is to identify the bird species using the dataset including vocals of the different birds. The input dataset will be pre-processed, which will comprise framing, silence removal, reconstruction, and then a spectrogram will be constructed, which will be sent to a convolutional neural network as an input, followed by CNN modification, testing, and classification. The result is compared with pre-trained data and output is generated and birds are classified according to their features (size, colour, species, etc.)","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127001186","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