2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献_第10页

Deep Learning Based Intrusion Detection Systems Techniques in IoT - Survey 基于深度学习的物联网入侵检测系统技术

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131739

Samay Kalpesh Patel, Sapna Sadhwani, R. Muthalagu, Pranav Mothabhau Pawar

引用次数: 0

Financial Inclusion of the Tribal Community of Jharkhand- a Pilot Study 贾坎德邦部落社区的金融包容性——一项试点研究

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131842

Samir Xavier Bhawnra, K. B. Singh

{"title":"Financial Inclusion of the Tribal Community of Jharkhand- a Pilot Study","authors":"Samir Xavier Bhawnra, K. B. Singh","doi":"10.1109/ICCIKE58312.2023.10131842","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131842","url":null,"abstract":"The objective of the paper is to study the financial inclusion of the tribal community of Jharkhand in India. Since the introduction of No Frill Account (Basic Saving Bank Deposit Account) in 2005 and the launch of PMJDY in 2014, there has been a continuous growth in the number of population enrolling themselves with formal financial system in India. This national level drive has resulted in the growth of financial inclusion among the unbanked across India, and among the tribal community also. Ownership of a bank account with a formal banking system is the first and the fundamental step in financial inclusion. However, mere opening of a bank account does not serve the purpose of financial inclusion. The usage of the bank account is an imperative dimension of financial inclusion (Sarma, 2008,2010) [1]. Therefore, this paper attempts to explore the usage dimension of financial inclusion of the tribal community of Jharkhand. To study the usage dimension, different determining factors have been studied. Primary data from 55 respondents have been collected to study the usage purpose. The findings show that monthly income of the tribal community affects bank account ownership and selection of the nature of banking account. However, the same demographic factor - monthly income - has no relation with other activities of the use of bank account; e.g. purpose of Banking Services of the tribal community; Purpose of taking loan among the tribal customers; possession of ATM Card/Debit Card; confidence on banking services and mobile banking services.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"4 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132467868","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

Deep Learning for High-Speed Laryngeal Imaging Analysis 高速喉部影像分析的深度学习

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131757

M. Naghibolhosseini, Ahmed M. Yousef, Mohsen Zayernouri, Stephanie R. C. Zacharias, D. Deliyski

{"title":"Deep Learning for High-Speed Laryngeal Imaging Analysis","authors":"M. Naghibolhosseini, Ahmed M. Yousef, Mohsen Zayernouri, Stephanie R. C. Zacharias, D. Deliyski","doi":"10.1109/ICCIKE58312.2023.10131757","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131757","url":null,"abstract":"High-speed imaging of the larynx provides a valuable means for studying vocal folds function and vibratory behaviors. Using laryngeal high-speed videoendoscopy (HSV) with a flexible nasolaryngoscope, one can record the detailed vibratory movements of vocal folds during connected speech. This high-speed imaging tool enables us to study the normal function of the vocal folds and how this function can be disrupted due to the presence of voice disorders. In this work, HSV data were utilized during connected speech from subjects with normophonic voices (no voice disorders) and a neurological voice disorder. The data were obtained using a high-speed camera, coupled with a flexible endoscope, at 4,000 frames per second. Deep learning was used for the analysis of the big HSV dataset to extract the vibratory behaviors of the vocal folds. This deep-learning-based tool achieved high levels of accuracy for analysis of challenging HSV data in connected speech. This tool provides a computationally cost-effective and an accurate measurement approach that could help design more advanced voice assessment protocols in future.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130422716","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

AI-Based Driver Drowsiness and Distraction Detection in Real-Time 基于人工智能的驾驶员困倦和分心实时检测

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131730

Anna Titu Kurian, Prashant Kumar Soori

引用次数: 0

Stellar Classification vis-à-vis Convolutional Neural Network 恒星分类与-à-vis卷积神经网络

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131846

Anurag Dutta, A. S. Antony Raj, A. Ramamoorthy, J. Harshith, Yash Soni, Unnati Sadh

{"title":"Stellar Classification vis-à-vis Convolutional Neural Network","authors":"Anurag Dutta, A. S. Antony Raj, A. Ramamoorthy, J. Harshith, Yash Soni, Unnati Sadh","doi":"10.1109/ICCIKE58312.2023.10131846","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131846","url":null,"abstract":"As a result of recent advancements in technology, a variety of new computational fields have emerged. Some examples of these fields are machine learning and intelligence, information science, the internet of things, and others. The advancement of humanity will be greatly aided by these fields. The development of Artificial Intelligence led to the creation of a great deal of Neural Networks. Convolutional Neural Networks are one variation of Neural Networks that we are utilizing in this work. These networks are known to perform quite admirably for Image Categorization, which is one of the purposes for which we are utilizing them. The work encompasses Stellar Classification. There are many stellar entities occupying the region known as universal space. Astrophysicists are familiar with a good number of them, but there are still a great many of these types of entities that have not been discovered yet. Because of the great distance that separates our planet from other stellar entities, any attempt to communicate with them through any channel is highly unlikely to be successful. The most information we could possibly acquire is just a guess as to what kind of entity they are. So, if any scientific observatory comes with a nascent search of any distant entity, we could potentially predict which stellar group they belong to. For the purposes of this work, we are only going to focus on two different types of Stella: Stars and Galaxies. For the purpose of training the Convolutional Neural Network, we have used a dataset on Stellar Types with Image Categorization created by the Aryabhata Research Institute of Observational Sciences (ARIES), which is located in Nainital, India. This dataset was made publicly available.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128668116","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: 5

A Study on The Dimensions and Criteria For Sustainable Development of Clean Development Mechanism (CDM) Projects 清洁发展机制(CDM)项目可持续发展的尺度与标准研究

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131828

Liza Rani Satapathy, Bateshwar Singh, K. B. Singh

引用次数: 0