2022 International Conference on Electronics and Renewable Systems (ICEARS)最新文献_第10页

Design and Implementation of an Intelligent Monitoring System for Um Interface Based on Software Radio 基于软件无线电的Um接口智能监控系统的设计与实现

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752155

H. Zhenhua, Hong Doudou

引用次数: 0

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":"24 1","pages":"0"},"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

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":"74 1","pages":"0"},"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

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":"9 1","pages":"0"},"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

Quality Assessment and Grading of Milk using Sensors and Neural Networks 基于传感器和神经网络的牛奶质量评价与分级

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752269

J. Swarup Kumar, D. Indira, K. Srinivas, M. N. Satish Kumar

引用次数: 4

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":"30 1","pages":"0"},"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

Dual Current Mirror Technique Based Energy Efficient 50mV to 1V Voltage Level Shifter 基于双电流镜技术的高效50mV至1V电压电平转换器

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752383

P. Aylapogu, R. V. P. Bhookya, D. Venkatachari, K. B

引用次数: 0

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

A Review Paper on Various Energy Saving Techniques in WSN 无线传感器网络中各种节能技术综述

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752215

Helen Josephine V L, Dhivya Rajan, K. Rajalakshmi

{"title":"A Review Paper on Various Energy Saving Techniques in WSN","authors":"Helen Josephine V L, Dhivya Rajan, K. Rajalakshmi","doi":"10.1109/ICEARS53579.2022.9752215","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752215","url":null,"abstract":"WSN (Wireless Sensor Network) is a unique variety of temporary type of Local area networks that are highly distributed self-organized systems. There is a detailed collection of various sensor nodes which are vastly deployed throughout the environment. Sensor node is a very small electronic device that is attached to a sensor network. They have an uncomplicated working mechanism that collects the data from any physical movement of an event that occurs or event query that is time driven. The notable feature of the sensor network is data gathering. Each sensory node can gather data, analyse that information and make that information to move to the location that is a destination. Routing algorithms play a vital role in making routing decision that delivers the packet to the exact point through optimal route. Since there is an energy restriction in WSNs, the energy related economisation becomes the most avoidable objective of various routing protocols. routing protocols of various sensor networks is reviewed and presented in this paper which provides a clear classification of various categories and comparison of the various methods.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122875005","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

Securing Healthcare Data using Decentralized Approach 使用分散方法保护医疗保健数据

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752114

Dodla Navya Shree, Dodda Venkata Lohitha Krishna, Rizwan Patan

引用次数: 1