2023 IEEE 8th International Conference for Convergence in Technology (I2CT)最新文献_第9页

Design & Validation of ANN based Reinforcement Learning Control Algorithm for Coupled Tank System 基于人工神经网络的耦合油箱系统强化学习控制算法设计与验证

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126494

Digant Rastogi, Manika Jain, M. M. Rayguru, S. K. Valluru

引用次数: 0

Intelligent Medicine Box for COVID like Pandemic 抗疫智能药箱

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126248

J. Baikerikar, Nilesh Ghavate, Vaishali Kavathekar, Allen Kodiyan

引用次数: 0

American Sign Language Fingerspelling Recognition using Attention Model 基于注意模型的美国手语拼写识别

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126277

Amruta E Kabade, P. Desai, S. C, Shankar G

{"title":"American Sign Language Fingerspelling Recognition using Attention Model","authors":"Amruta E Kabade, P. Desai, S. C, Shankar G","doi":"10.1109/I2CT57861.2023.10126277","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126277","url":null,"abstract":"Sign Language Recognition(SLR) is a complex gesture recognition problem because of the quick and highly coarticulated motion involved in gestures. This research work focuses on Fingerspelling recognition task, which constitutes 35% of the American Sign Language (ASL). Fingerspelling identifies the word letter by letter. Fingerspelling is used for signing the words which do not have designated ASL signs such as technical terms, content words and proper nouns. In our proposed work for ASL Fingerspelling recognition, we consider ChicagoFSWild dataset which consists of occlusions and images captured in varying illuminations, lighting conditions (in the wild environments). The optical flow is obtained from Lucas-Kanade algorithm, prior is generated, images are resized and cropped with face-roi technique to get the region of interest (ROI). The visual attention mechanism attends to the ROI iteratively. ResNet, pretrained on Imagenet is used for the extraction of spatial features. The Bi-LSTM network with Connectionist Temporal Classification (CTC) is used to predict the sign. It provides the accuracy of 57% on ChicagoFSWild dataset for Fingerspelling recognition task.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125002887","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

Research Approaches for Building Analytics in Social Network towards Crowdsourcing 面向众包的社交网络分析构建研究方法

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126479

Nivedita Kasturi, S. G. Totad, Goldina Ghosh

引用次数: 0

Security in LP-WAN Technologies: Challenges and Solutions LP-WAN技术的安全性:挑战与解决方案

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126493

Richa Tengshe, Eisha Akanksha

引用次数: 1

High sensitivity strain sensor based on Polymer Fiber Bragg Grating 基于聚合物光纤光栅的高灵敏度应变传感器

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126215

Tony Alwin

引用次数: 0

Sentiment Analysis of Hotel Reviews - a Comparative Study 酒店评论的情感分析——一个比较研究

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126445

Gauthami Sreenivas, Kishan Minna Murthy, Kshitij Prit Gopali, Navya Eedula, Mamatha H R

{"title":"Sentiment Analysis of Hotel Reviews - a Comparative Study","authors":"Gauthami Sreenivas, Kishan Minna Murthy, Kshitij Prit Gopali, Navya Eedula, Mamatha H R","doi":"10.1109/I2CT57861.2023.10126445","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126445","url":null,"abstract":"Sentiment analysis is an important domain in Natural Language Processing (NLP) since it is an efficient way to extract features and user sentiments from textual data. Performing sentiment analysis of big data in the tourism industry is useful for businesses to understand the needs of their customers and improve hotel facilities to increase customer satisfaction. This paper aims to compare, analyze and employ different types of supervised, unsupervised, and pre-trained models. The supervised models - Decision Trees, XGBoost, Multinomial Naïve Bayes, Multinomial Logistic Regression, SVM, and Stochastic Gradient Descent were tested and the parameters were optimised using GridSearchCV. Two unsupervised models, K-means clustering and Latent Dirichlet Allocation were implemented with TF-IDF and Word2Vec embeddings. The pre-trained models, VADER and TextBlob were also implemented. The labelled dataset used for this study contains user reviews of hotels around the world, where each review is classified as positive, neutral, or negative. The SVM model resulted in the highest weighted F1 score of 0.8516.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130960093","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

Analysis of differences in EEG Signal features between Visual Imagery and Perception 视觉意象与感知脑电信号特征差异分析

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126204

Shiyona Dash, Deepjyoti Kalita, K. B. Mirza

{"title":"Analysis of differences in EEG Signal features between Visual Imagery and Perception","authors":"Shiyona Dash, Deepjyoti Kalita, K. B. Mirza","doi":"10.1109/I2CT57861.2023.10126204","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126204","url":null,"abstract":"Recent research works have increasingly focused on gaining a better understanding of visual perception from brain activity. This work was partially motivated by functional Magnetic Resonance Imaging (fMRI) based studies on the neurobiology of \"mental images\" and Brain-Computer Interface (BCI) devices. The ultimate objective is to recreate thoughts from brain activity using generative AI models. It is crucial to extract and enumerate the differences between visual perception (when a stimulus is present) and visual imagery (the recall of the stimulus after that) by the brain. In this work, we determine that it is possible to detect changes in brain activity due to differences in Visual Perception and Imagery even while using EEG signal features recorded with limited channels. The first step in this process was doing a spatiotemporal-based feature estimation on the EEG data for seven people across all channels and trials. Results indicate that Alpha Band power, an essential characteristic in the posterior electrodes and indicating a parieto-occipital origin, significantly differed across the different channels.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131294182","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

System for Enhancing Accuracy of Noisy Text using Deep Network Language Models 基于深度网络语言模型的噪声文本识别精度提高系统

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126194

R. Rohit, SA Gandheesh, KS Suriya, Peeta Basa Pati

引用次数: 0

Machine Learning Techniques for Result Prediction of One Day International (ODI)Cricket Match 一日国际板球比赛结果预测的机器学习技术

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126241

Inam Ul Haq, Inzimam Ul Hassan, Hilal Ahmad Shah

引用次数: 0