2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)最新文献_第3页

Maximising Highway Safety through AI-enabled Detection of Pedestrians and Animals in V2X Environments 通过人工智能检测V2X环境中的行人和动物，最大限度地提高公路安全

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134307

R. Maity, Jivthesh M R, Pralay Sankar Maitra, Sanjeevi G, Gaushik M R, Sai Shibu N B, K. U. Menon

{"title":"Maximising Highway Safety through AI-enabled Detection of Pedestrians and Animals in V2X Environments","authors":"R. Maity, Jivthesh M R, Pralay Sankar Maitra, Sanjeevi G, Gaushik M R, Sai Shibu N B, K. U. Menon","doi":"10.1109/WiSPNET57748.2023.10134307","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134307","url":null,"abstract":"Road accidents involving pedestrians and animals can have serious consequences for all parties involved. These types of accidents can occur when pedestrians or animals cross the road and can often be caused by poor visibility, driver distractions, or a lack of appropriate safety measures. In many cases, these accidents can be prevented by implementing measures such as pedestrian crossings and wildlife crossings, as well as by educating drivers about the importance of paying attention to their surroundings and being alert to pedestrians and animals on or near the road. We can work towards a safer and more efficient transportation system for all road users by taking steps to prevent these types of accidents. This paper proposes an AI-enabled pedestrian and animal detection architecture for V2X-enabled highways. The proposed system leverages AI to detect pedestrians and animals on the road and then transmit this information to other road users using the existing V2X Communication protocol available on the highways. The paper also explains the algorithm to detect animals and pedestrians using AI. We envision that the proposed system will reduce road accidents and save lives.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127971882","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

Web 3.0 and NFTs enabled eWaste Management System for Smart City Web 3.0和nft支持智能城市电子废物管理系统

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134167

Rohit Mathew Samuel, Jivthesh M R, Gaushik M R, Sai Shibu N B, Sethuraman N. Rao

{"title":"Web 3.0 and NFTs enabled eWaste Management System for Smart City","authors":"Rohit Mathew Samuel, Jivthesh M R, Gaushik M R, Sai Shibu N B, Sethuraman N. Rao","doi":"10.1109/WiSPNET57748.2023.10134167","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134167","url":null,"abstract":"Electronic waste management is a critical issue in today's world that demands our immediate attention. The impact of improper management of e-waste, especially mobile phones and computers, can result in severe problems like health and environmental hazards and significant economic loss. With the global production of e-waste exceeding 7 million tonnes and expected to reach 300 million tonnes by 2025, it is imperative to develop a sustainable mechanism for its management. Governmental and non-governmental organizations are working to create better e-waste management solutions that will help reduce e-waste dumping and encourage recycling. Our solution involves using blockchain technology to ensure the transparency, trace-ability, and accountability of the e-waste management process. Additionally, we propose incentivizing society members through digital tokens or NFTs, promoting their active participation in e-waste reduction. Our proposed solution can create a sustainable and eco-friendly society by addressing e-waste management challenges. Blockchain technology and smart contracts will guarantee seamless and efficient e-waste management, promoting transparency and accountability. By incentivizing society members, we can encourage their active participation in reducing e-waste dumping and encourage recycling and refurbishing efforts. This paper also discusses the performance evaluation of smart contracts using a benchmark tool.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124303549","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

Sparsity-unaware High Probability DOA Estimation using Compressive Sensing based Extended OMP 基于压缩感知的扩展OMP稀疏无感知高概率DOA估计

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134345

N. L, P. Kumar

引用次数: 0

Design and Analysis of Dual Band MIMO Antenna for WLAN and ISM Band Applications 用于WLAN和ISM频段应用的双频MIMO天线设计与分析

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10133994

Gayathri Ilangovan, K. Vasudevan, G. Maheswari

{"title":"Design and Analysis of Dual Band MIMO Antenna for WLAN and ISM Band Applications","authors":"Gayathri Ilangovan, K. Vasudevan, G. Maheswari","doi":"10.1109/WiSPNET57748.2023.10133994","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10133994","url":null,"abstract":"In this paper, a 2X2 MIMO array of crossed elliptical-shaped monopole antenna for dual-band application is presented. The proposed single antenna layout consists of two elliptical radiators with 45° inclination on the top layer and a partial stepped-ground plane in the bottom layer. The two layers are separated by rogers substrate with a dielectric constant of 4.5 and a thickness of 1.6 mm. The proposed single antenna produces resonance at 2.46 GHz and 5.17 GHz, with a return loss of 27.64 dB & 33.10 dB and gain of 2.69 dBi & 2.53 dBi respectively. Then the proposed layout is modified to a $2mathrm{x}2$ MIMO array with elements arranged perpendicular to each other to decrease mutual coupling among multiple radiators. Additionally, a decoupling structure is utilized in the ground plane to enhance the isolation. A substantial increase in the return loss and low ECC values are observed. Increased gains of 5.23 dBi & 5.32 dBi are observed. The proposed monopole antenna offers dual-band operation with improved gain, making it a more suitable choice for wireless communication systems.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117201837","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 Explorative Study on Extractive Text Summarization through k-means, LSA, and TextRank 基于k-means、LSA和TextRank的抽取文本摘要的探索性研究

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134303

K. Ramani, K. Bhavana, A. Akshaya, K. Harshita, C. R. Thoran Kumar, Maya Srikanth

{"title":"An Explorative Study on Extractive Text Summarization through k-means, LSA, and TextRank","authors":"K. Ramani, K. Bhavana, A. Akshaya, K. Harshita, C. R. Thoran Kumar, Maya Srikanth","doi":"10.1109/WiSPNET57748.2023.10134303","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134303","url":null,"abstract":"Notably the difficult and exciting issue in the field of Natural Language Processing (NLP) is summarizing the text. Understanding the main objective of any type of document is crucial. Some of the applications of text summarization are media monitoring, social media, marketing, health care, literature, and books. Text summarization techniques are implemented using extractive summarization techniques in the health care domain in which it considers patient health history. To visualize a lengthy patient health history document quickly we use machine learning techniques like k-means, Text Rank, and Latent Semantic Analysis to comprehend and identify the sections that communicate important information to produce the summarized texts. These methods are evaluated using ROUGE-1, ROUGE-2, and ROUGE-N metrics to obtain the highest similarity of extracted text. k-means outperformed the considered approaches compared to Text Rank and Latent Semantic Analysis in summarizing the documents. k-Means was more efficient, where it achieved an average of 94.52% precision, 90.98% recall, and 91.25% F1-score.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130985544","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

Terahertz Imaging for Aerospace Applications 航天应用太赫兹成像

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134245

K. M., A. Rao, Kishan Kumar, T. Rao

引用次数: 0

Miniaturized UWB FSS for Space Shuttle Communication 用于航天飞机通信的小型化超宽带FSS

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134341

A. Suganya, K. Vinayagam, N. Rajesh

引用次数: 0

Smart Agro-Industrial Monitoring System Using Multi-Sensors and ESP-NOW Protocol 基于多传感器和ESP-NOW协议的智能农工监测系统

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134259

Bala Badruni Sai Venkat, Balu Lalasa, Reddy Tharun V, Simhadri Vadrevu, G. Chellamani

引用次数: 0

Disaster-news datasets for multi-label document classification, sentence classification, and abstractive document summarization tasks 用于多标签文档分类、句子分类和抽象文档摘要任务的灾难新闻数据集

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134469

Sumanta Banerjee, S. Mukherjee, Sivaji Bandyopadhyay

{"title":"Disaster-news datasets for multi-label document classification, sentence classification, and abstractive document summarization tasks","authors":"Sumanta Banerjee, S. Mukherjee, Sivaji Bandyopadhyay","doi":"10.1109/WiSPNET57748.2023.10134469","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134469","url":null,"abstract":"Mining of disaster-news articles can deliver highly useful information for the authorities in critical decision making and also for awareness dissemination among people, at disaster situations. A set of disaster-news articles containing more than seven thousand and six hundred news documents on COVID-19, storm, flood, heavy rain, cloudburst, landslide, earthquake, and tsunami is put forward for interested researchers to explore. It includes more than three thousand news articles only on COVID-19 considering it a disaster event. It also includes more than 4.5 thousand articles on natural disaster events prevalent in India. A dataset has been prepared for the sentence classification task from the COVID-19 articles. An abstractive summarization dataset has also been prepared for the task of automatic generation of a suitable headline for a disaster-news article. It is done by considering the articles and their titles as text and summaries. Another dataset has been prepared by combining COVID-19 and the natural disaster articles for three tasks; first, identification of the events in an article, second and third, identification of the sentences containing disaster-location and disaster-impact information respectively. The Precision, Recall, F-measure, and Accuracy scores after applying the Random Forest classifier on both datasets are presented in this paper that show impressive results.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131926386","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 Novel and Efficient CBIR using CNN for Flowers 一种新颖高效的基于CNN的花卉CBIR

2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134508

Subash. S. I, Muthiah. M. A., N. Mathan

引用次数: 0