2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)最新文献_第5页

5G: The Network and it’s future 5G:网络及其未来

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074352

Twinkle Deep, Shubham Kashyap, Thirunavvukarasan M

{"title":"5G: The Network and it’s future","authors":"Twinkle Deep, Shubham Kashyap, Thirunavvukarasan M","doi":"10.1109/ICAC3N56670.2022.10074352","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074352","url":null,"abstract":"The world is continuously moving at a fast pace and so is the technological advancements in it. It is a rule of the planet that there should be continuous improvements and advancements in all realms for the welfare of the mankind. In the recent times due to the pandemic and the Covid-19 virus, the style of living and completing one’s work has changes drastically. The world has become highly virtual in nature. For each work that needs to be completed there are devices all around us and all of us are connected virtually, be it studies, office work, gaming or loads of other errands. There are various components that are crucial to the efficient operation of the virtual world. One important factor among these components is the network that helps us in connecting with one another. The whole system of the virtual world is highly reliable on the speed, bandwidth, and many other factors of the network that the users are using. The mobile network era started with One-G or just the G and currently is moving towards a 5G network. In this paper we will discuss about the 5G network, the technology it uses, the challenges that it is facing and the huge difference that it will bring about in the virtual and technological world.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131195308","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

Argument Mining using BERT and Self-Attention based Embeddings 基于BERT和自关注嵌入的论据挖掘

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074559

Pranjal Srivastava, P. Bhatnagar, Anurag Goel

引用次数: 1

Hindi and Kannada Twitter Sentiment Analysis Using Machine Learning Algorithm 使用机器学习算法的印地语和卡纳达语推特情感分析

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074259

Sumana, P. Kanchan

引用次数: 0

A Deep Q-Learning-Based Adaptive Traffic Light Control System for Urban Safety 基于深度q -学习的城市安全自适应红绿灯控制系统

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074123

Ashish Tigga, Lopamudra Hota, Sanjeev Patel, Arun Kumar

{"title":"A Deep Q-Learning-Based Adaptive Traffic Light Control System for Urban Safety","authors":"Ashish Tigga, Lopamudra Hota, Sanjeev Patel, Arun Kumar","doi":"10.1109/ICAC3N56670.2022.10074123","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074123","url":null,"abstract":"Traffic congestion is a significant and recurring issues in today’s urbanised world, caused by an increase in the number of vehicles. While vehicle density fluctuates on temporally short and geographically small scales, efficient traffic signaling system helps in avoiding traffic congestion. An inefficacious traffic system can lead to congestion and delays resulting in high pollution, and fuel wastage. The Deep Reinforcement Learning (DRL) method provides an excellent approach to solve the problem involving complex relations such as traffic flow and congestion. Recent development in Deep Neural Network (DNN) further enhances the learning capabilities of an agent with complex real-time data. The paper presents an intelligent Traffic Light Control System (TLCS) built on a Deep Q-Learning (DQL) model that accurately represents the problem’s components: agents, environment, and actions. The proposed model aims to minimize the traffic queue length and delay in terms of waiting time. The model is implemented using Simulation of Urban MObility (SUMO) for traffic generation in an urban scenario. The performance of the proposed model is compared with a traditional traffic light control system. The simulation results show that the proposed DQL-based model can significantly reduce the delay compared with the traditional model.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133104773","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

ICAC3N 2022 Cover Page ICAC3N 2022封面

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/icac3n56670.2022.10073998

引用次数: 0

Feature Extraction Techniques in Agriculture with Stressed Vegetation: A Review 农业植被胁迫特征提取技术研究进展

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074479

N. Dokania, S. Yadav

{"title":"Feature Extraction Techniques in Agriculture with Stressed Vegetation: A Review","authors":"N. Dokania, S. Yadav","doi":"10.1109/ICAC3N56670.2022.10074479","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074479","url":null,"abstract":"In this real world extraction of features and their representation is most ruling and important step in the area of digital image processing. The unique and ideal features extraction from the complex images is the most challenging task so that the complete and regress analysis can be done in the area of computer vision. But throughout the past few decades, virtually little research has focused on this issue. So, I focus my research on the current most developed technologies of feature extraction in the area of agriculture and provide a rigid solution. The mass production of quality agriculture is much important for economic growth of a country. Due to the same Stress vegetation in agriculture plays very important role and it can be considered as the key issue. The monitoring process of stresses in various plants from leaf, stem, branches or other parts is being done using the imaging systems through Infra Red and Ultraviolet waves. The Imaging system uses wavelengths of multiple and specific values with wide ranges to obtain exceptional information on stress of plant and related diseases. In last decade, the technology has enhanced dramatically and contemporary research fellows focus in the same area which is being resulted optimal and reliable solution. Machine learning and Image processing with wide classifications, their different approaches and algorithms provide the real solution for the same. Hence, we have to design a reliable method in machine learning which may identify the defected crop images in real time scenario. The images of the plants’ parts can be captured from the digital camera, thermal camera, hyper spectral camera and optical filters. After this, the images which have been captured will be further processed on micro computer system using the real pattern recognition techniques.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114776395","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

Sentiment Analysis on Amazon Product Review 亚马逊产品评论的情感分析

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074287

B. Kamalesh, S. Vijayalakshmi

引用次数: 3

Text Emotion Analysis Using Deep Learning For COVID- 19 Dataset 基于深度学习的COVID- 19数据集文本情感分析

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074013

Riya Garg, Parjanya Aditya Shukla, Uma Rathore

引用次数: 0

UWSN Survey: Challenges and Application issues UWSN调查:挑战和应用问题

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074185

Rani Astya, C. Jha

引用次数: 0

Accuracy Comparison of Various Movie Recommendation System Algorithms 各种电影推荐系统算法的准确率比较

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074471

Ankita Rai, Kriti Yadav, Manpreet Singh, Shashi Kant Singh

{"title":"Accuracy Comparison of Various Movie Recommendation System Algorithms","authors":"Ankita Rai, Kriti Yadav, Manpreet Singh, Shashi Kant Singh","doi":"10.1109/ICAC3N56670.2022.10074471","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074471","url":null,"abstract":"A Movie Recommendation is significant in our social life since it enhances entertainment while also providing a tailored user experience. Using such recommendation algorithms, users may receive recommendations for a group of movies based on their interests or the popularity of the movies.Despite the fact that there are hundreds of movie recommendation systems, the majority of them either cannot recommend a movie to existing users or cannot propose a movie to a new user at all. In this paper, we compared the different algorithms to step up a movie recommendation system to improve the accuracy of user-recommended movies. This recommendation engine scours movie databases for all relevant variables, such as popularity and attractiveness, needed to make a recommendation. In many circumstances, large correlations between several categories of items can be used to produce more accurate suggestions. Experiments on real data have shown that the proposed solution is efficient and effective. This Movie Recommendation system will use a comparison among different algorithms that can be used to form a movie recommendation system, to search the movies that are similar to the customer’s taste or genre, and would also provide a combination of the recommendations that are highly rated by different customers’ experience so that the customer is not limited to a particular category or genre but is also able to explore new and different varieties as well. The system will get trained for the improvement of the recommendations through hybrid means.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123894816","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