2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)最新文献_第5页

Robust and Interactive Detection System for Cardiovascular Disease using Artificial Intelligence 基于人工智能的心血管疾病鲁棒交互式检测系统

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967619

K. V, Venkateswari R, Darshan V

{"title":"Robust and Interactive Detection System for Cardiovascular Disease using Artificial Intelligence","authors":"K. V, Venkateswari R, Darshan V","doi":"10.1109/ICIIET55458.2022.9967619","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967619","url":null,"abstract":"Cardiovascular disease is a generic term that encompasses a variety of illnesses affecting the heart and blood vessels. Cardiovascular disease prediction is challenging due to the presence of several parameters. Existing cardiac parameter measurements apparatus serve as standalone measurement devices and cannot convey useful predictions. Coupling measurement devices with an intelligence system by incorporating user interactivity and a robust classification algorithm will yield a better holistic system. The proposed system attempts to detect cardiovascular disease at early stages with decent accuracy. The critical parameters necessary for this disease prediction are extracted by pulse oximeter sensor in real-time and additional non-sensor parameters are acquired from the patient to precisely detect the occurrence of cardiovascular disease. The degree of interactivity in the system possesses a smooth user experience throughout the detection process with the help of a web interface and email notifications. Through appropriate intimation, a patient can be saved from a situation of increased complexity to avoid disastrous consequences. The results verify that the optimized Decision Tree classifier has achieved the highest testing accuracy of 99.79% in minimal run time complexity. The designed system will timely aid cardio respiratory patients for their welfare and suggests a unique way to avoid the physical presence of the patient in the hospital for consultation.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125964571","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

Performance Analysis of a Modified Lightweight Authentication Scheme for Quantum Key Distribution 一种改进的量子密钥分发轻量级认证方案的性能分析

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967514

R. Venkateswari, S. Arun Kannan, K. R. Siva Bharathi

引用次数: 0

WebRTC-based Decentralized Chat Application with Minimal Latency 基于webrtc的分散聊天应用程序，具有最小的延迟

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967597

D. Rozen Berg, M. Tharunraj, B. Raj Kumar, M. Sumalatha, L. Palivela, P. Vijay Vikrama Karthikeyaa

{"title":"WebRTC-based Decentralized Chat Application with Minimal Latency","authors":"D. Rozen Berg, M. Tharunraj, B. Raj Kumar, M. Sumalatha, L. Palivela, P. Vijay Vikrama Karthikeyaa","doi":"10.1109/ICIIET55458.2022.9967597","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967597","url":null,"abstract":"WebRTC-based chat is a decentralized chat application. The chat application is designed to have very low latency, minimize packet loss and jitter, and be highly reliable and scalable. The chat application implements a CEP (Complex Event Processing)-based session establishment scheme, a CEP-based message transmission scheme, and a CEP-based session termination scheme. The application implements a peer discovery scheme and a Routing Information Protocol (RIP) traversal scheme to achieve scalability and robustness. It leverages end-to-end encryption with AES256 (Advanced Encryption Standard with RSA256 Key pairs). The WebRTC (WebReal - Time Communication) [WebRTC] specification is an open standard that defines an API for real-time communication over the Web. It is designed to facilitate the use of peer-to-peer communications by means of the Web. The Web RTC API provides the functionality to create a session. This function is used to create a real-time communication session between two users. The function takes a pair of user identities as input. The function returns a peer ID, which is an identifier of the peer. The application uses WebRTC to communicate with peers to store and retrieve data from the decentralized database. We propose to use gun. eco which provides the API of the AXE (Advanced eXchange Equation) for maintaining the redundancy and consistency of the data in the decentralized database and helping the chat application work with very low latency with real time updates. Thus, the proposed application may help users in remote places with poor network connectivity, connect with people seamlessly.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"595 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117073796","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

Use of Spatio-temporal Features for Earthquake Forecasting of imbalanced Data 利用时空特征对不平衡数据进行地震预报

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967687

Aaditya Sharma, Arnav Ahuja, Sonu Devi, S. Pasari

引用次数: 1

Discrete Tunning Reconfigurable Antenna for S Band Navigation Receiver Applications 用于S波段导航接收机的离散调谐可重构天线

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967493

G. Sivarama Subramanium, M. Suresh Kumar, G. Anitha

引用次数: 1

Comparative Path Planning Analysis for the Recommended E-Vehicle Charging Station 推荐式电动汽车充电站路径规划比较分析

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967510

Achuta Hari Priya Nair, M. Sujith

引用次数: 1

Design and Simulation of Washing Machine Equipped with Universal Motor 通用电机洗衣机的设计与仿真

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967608

Bondala Sahithi, P. Manitha, S. Lekshmi

引用次数: 4

Leveraging Edge Based Deep Neural Networks for Road Damage Detection 基于边缘的深度神经网络用于道路损伤检测

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967645

G. R Karpagam, Guna M, P. S. Lohith Sowmiyan, S. M

{"title":"Leveraging Edge Based Deep Neural Networks for Road Damage Detection","authors":"G. R Karpagam, Guna M, P. S. Lohith Sowmiyan, S. M","doi":"10.1109/ICIIET55458.2022.9967645","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967645","url":null,"abstract":"With the increasing number of casualties resulting from road damages, posing a serious threat to every individual and society; imperative action in solving the issue must be given primacy. Over the years, various approaches and solutions have been presented by researchers with a noticeable pattern-every breakthrough solution solves the shortcomings of its predecessor. With the recent advancements in image classification techniques through deep neural networks, it is now possible to classify road damages with high accuracy. However, one disadvantage of employing this technology is the considerable latency associated with running machine learning models in the cloud in real-time. Considering all these complexities, this paper presents an edge computing framework that runs efficient deep neural networks thereby reducing the latency inherent in the previous approaches. This solution can bring drastic changes to road maintenance by providing crucial information at opportune times thereby substantially reducing road accidents. Using transfer learning-based models, an F1 score of 0.64 was achieved for the RDD2020 dataset.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"65 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117231463","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 and Optimum Classification of Thoracic Disease in Chest X-Rays using ResNet CNN 利用ResNet CNN对胸部x光片中的胸部疾病进行分析和最佳分类

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967554

M. Manikandan, J. Justus

{"title":"Analysis and Optimum Classification of Thoracic Disease in Chest X-Rays using ResNet CNN","authors":"M. Manikandan, J. Justus","doi":"10.1109/ICIIET55458.2022.9967554","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967554","url":null,"abstract":"Computer vision and image diagnosis have seen tremendous improvement in the last decade. This is due to the insurmountable use cases created in health care and other fields using artificial neural networks. Heart and lung failure deaths consist of more than 1,000,000 occurring every year due to poor health care system as per the government report. Now with computer vision, we can analyze any type of Chest X-ray without a doctor’s consultation which can save millions of lives. Image diagnosis using CNNs is very cost-efficient and reliable. The main reason for this technology not being in use today is the difficulty in predicting lung infections as the Chest X-Rays contain disease tissues with lower contrast spots along with the other tissues. Also, there is an N number of chest tissue diseases each with a unique pattern that causes lower accuracy. The existing solutions still have a lower accuracy rate. We have used the ResNet deep neural network model with specific techniques implemented on top of it to predict thoracic disease prediction. This model has considerable advantages like no vanishing gradient problem over others and thus leading to better accuracy.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126346396","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 Adaptive Power Electronic Interface for EV 一种电动汽车自适应电力电子接口

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967644

U. Priya, Ghr Vinay, B.D. Divya Reddy, K. Sudarsana Reddy, K. Sireesha

引用次数: 1