2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)最新文献_第4页

Remote Health Monitoring Of Geriatric Patients Using Internet Of Wearable Things 基于可穿戴物联网的老年患者远程健康监测

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141738

Athira S Nair, Kannanpuzha Chelsea Antony, R. Sujatha

{"title":"Remote Health Monitoring Of Geriatric Patients Using Internet Of Wearable Things","authors":"Athira S Nair, Kannanpuzha Chelsea Antony, R. Sujatha","doi":"10.1109/InCACCT57535.2023.10141738","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141738","url":null,"abstract":"Geriatric patients become dependent on others as a result of a variety of health problems that cause them to lose their independence. As they struggle with a variety of age-related health issues, they are constantly in need of assistance. The everyday health issues include high blood pressure, irregular heart rate, variations in the sleep cycle, problems with body balance, emotional changes, stress-based illness, loneliness. They need assistance in order to satisfy their daily needs, but they are also required to be independent to some extent. Numerous studies cover independent human health monitoring utilizing the internet of things (IoT), which tracks heart rate, level of oxygen, body temperature, and also identifies falls individually. An implementation of a design prototype that aids in monitoring the health parameters of geriatric individuals within a single system is included in this work. The measurements involve heart rate, oxygen content in blood, body temperature and trace unintentional falls by capturing the video. The sensors within the system will take real-time measurements of geriatric patient’s health conditions. Additionally, it will support the geriatric individuals and alert them when in need.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132237601","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

Framework for Cloud Security Initiatives in Small and Medium-Sized Enterprises 中小企业云安全计划框架

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141743

Aruna Roy, K. Patil

引用次数: 0

A Novel Cloud-based Framework to Predict the Employability of Students 一种新的基于云的学生就业能力预测框架

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141760

K. Singh, Prabhdeep Singh

引用次数: 3

IoT-based Mobile Application for Road Accident Detection and Notification 基于物联网的道路事故检测与通知移动应用

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141776

Sandipan Ghosal, Tanusree Chatterjee, Kokonod Ray, Hrit Saha, Bishal Laha, Souvick Mondal, Swarup Mondal, Rajib Banerjee, Chinmoy Jana

{"title":"IoT-based Mobile Application for Road Accident Detection and Notification","authors":"Sandipan Ghosal, Tanusree Chatterjee, Kokonod Ray, Hrit Saha, Bishal Laha, Souvick Mondal, Swarup Mondal, Rajib Banerjee, Chinmoy Jana","doi":"10.1109/InCACCT57535.2023.10141776","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141776","url":null,"abstract":"Vehicle accidents are major concern today in traffic management systems which result in an increasing number of deaths. India is currently in top position in road accidents around the globe. This leads to a huge number in future with growing population and other causes e.g. bad road conditions, reckless driving, delay in medical help, etc. To overcome these, a proper accident detection and notification system is required. Here comes our android app based on IoT sensors (Accelerometer, Gyroscope) of smartphones used in our daily lives. The app automatically detects an accident from sensory data and sends notification to emergency numbers so that victims receive immediate medical assistance. The app covers most of the solutions in this regard in post-accident scenarios, such as accident detection, sending notifications, and a few which are applicable for alerting people about accidents and handling traffic congestion scenarios.Later includes warning drivers while entering an accident-prone zone, suggesting an alternate route to avoid congestion in the accident occurrence area, etc. The performance is analyzed by delay time, false alarm rates and it outperforms the existing systems in terms of different features. Thus, it is user-friendly, reliable, and cost effective.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114429256","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

Medico Stick: A Hidden Sight for the Blind : Internet of Things Facilitating Blind People’s Daily Lives (IoT) 医疗棒:盲人隐藏的视线:物联网为盲人日常生活提供便利(IoT)

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141789

Pyush Bhanote, L. Rani

引用次数: 0

Systematic Analysis of Weather Prediction for Jaipur City Dataset Using Deep Learning 基于深度学习的斋浦尔城市数据集天气预报系统分析

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141750

Manish Choubisa, Manish Dubey, N. Jain, Harshita Virwani

{"title":"Systematic Analysis of Weather Prediction for Jaipur City Dataset Using Deep Learning","authors":"Manish Choubisa, Manish Dubey, N. Jain, Harshita Virwani","doi":"10.1109/InCACCT57535.2023.10141750","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141750","url":null,"abstract":"Several decades past but the traditional weather forecasting is still not accurate to forecast the weather conditions accurately. Due to the fact that the agricultural and industrial sectors are mostly dependent on the weather conditions, accurate weather forecasting plays a significant role in the modern world. Additionally, it is utilized in the analysis and forecasting of natural disasters. Weather forecasting is the process of finding the proper values for various meteorological components and, additionally, the circumstances of the approaching weather based on these parameters. In this study, the Deep Learning techniques of Linear Regression (LR) and Deep Neural Networks (DNN) are applied to the analysis of the weather forecasting system for the Jaipur district in Rajasthan, India in order to reach a greater level of accuracy. The results that were achieved by utilizing this model are compared and examined using mean absolute error and median absolute error, which measure the difference between the actual values and the values that were predicted.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117183763","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

YarowskyDroid: Semi-supervised based Android malware detection using federation learning YarowskyDroid:基于半监督的Android恶意软件检测，使用联邦学习

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141735

Arvind Mahindru, S. Sharma, M. Mittal

{"title":"YarowskyDroid: Semi-supervised based Android malware detection using federation learning","authors":"Arvind Mahindru, S. Sharma, M. Mittal","doi":"10.1109/InCACCT57535.2023.10141735","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141735","url":null,"abstract":"In this paper, a novel approach is proposed entitled as “YarowskyDroid”, that works on the principle of semisupervised machine learning approach and federation learning to detect malware-infected apps. In order to protect user privacy, apps are exclusively installed locally on the user’s smartphone. This prevents service providers or developers from learning which apps a user has downloaded. Meanwhile, information from smartphone users is gathered in order to improve the malware detection algorithm. The primary issue in this study is that users cannot tell whether an app they have loaded is contaminated with malware or not. In order to overcome this problem, a semi-supervised machine learning technique is proposed in this study that improves classification accuracy on comparison to the base model set up in the cloud. A experiment was carried out using 50,000 malware-free and 25,000 malicious app downloads from different repositories. The empirical finding shows that the suggested framework, with 210 users and 40 rounds of the federation, has a detection rate of 97.9%.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123722603","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

Cloud Based Personal Health Record (PHR) and Personalized Indian Health Network 基于云的个人健康记录(PHR)和个性化印度健康网络

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141731

Nikitha Tripuraneni, Rajashekhar Balla, Trisha Sai Paladugu, Fathimabi Shaik

{"title":"Cloud Based Personal Health Record (PHR) and Personalized Indian Health Network","authors":"Nikitha Tripuraneni, Rajashekhar Balla, Trisha Sai Paladugu, Fathimabi Shaik","doi":"10.1109/InCACCT57535.2023.10141731","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141731","url":null,"abstract":"Cloud Based PHR & Personalized Indian Health Network is a social network and user repository with the goal of connecting users and bringing together people with similar medical issues. PIHN assists in creating a network of patients who may offer suggestions and share their experiences. Additionally, PIHN makes it possible for patients to store their past medical records so they can be accessible at any time without having to carry a physical copy with them everywhere. Cloud Based PHR is accessible to the user and has the ability to recover lost copies. Personalized Indian Health Network is especially made for Indians. Also, the PIHN has a self-tracking system that enables users to monitor their health status based on their day-to-day health conditions. PIHN has a recommender system that connects people with similar profiles. By exchanging experiences, this system enables users to consult a doctor and receive better care. To provide recommendations, an appropriate method is used to measure user similarities. Patients who are similar to one another form a network to communicate. Users’ privacy is maintained, and their data is never disclosed without their permission. The Django framework is used for the frontend and Firebase is used as the backend storage. In Self-tracking system, the user’s data is visualized in graphs for quick and easy understanding of their health status. Patient-to-patient recommendations are made using user-based collaborative filtering algorithms.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122686211","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

Enhanced Machine Learning Based Techniques for Security in Vehicular Ad-Hoc Networks 基于增强机器学习的车载Ad-Hoc网络安全技术

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141791

J. N, Rekha Patil

{"title":"Enhanced Machine Learning Based Techniques for Security in Vehicular Ad-Hoc Networks","authors":"J. N, Rekha Patil","doi":"10.1109/InCACCT57535.2023.10141791","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141791","url":null,"abstract":"Vehicular Ad-Hoc Networks, also referred as VANETs, have emerged as an interesting area of research as a result of ever significant increase in the number of automobiles on roads. Built - in safety smart vehicular traffic infrastructure protects both passengers and drivers, but due to its dynamic nature, real-time implementation is difficult. They lay the groundwork for the creation of intelligent transportation systems (IPS) and frameworks, which allow road entities to communicate with one another and build new applications and services with the goal of improving both the driving experience and overall road safety. The demanding features of VANETs make it difficult to establish security measures, resulting in gaps that attackers could exploit. This research provides smart structured protective systems for VANETs that use machine learning (ML) based algorithms. The enhanced ML algorithms improves attack detection, protecting data inter-communications between various sources and destinations, and ensuring strong anonymity, authentication, and privacy. The proposed system trains and tests its machine learning algorithms on publicly available datasets of vehicle communications. As a result, the outcomes are repeatable and verifiable. The machine learning-based security system can detect attacks while maintaining low False Positive Rate values (FPR). The findings also suggest that the framework may benefit from employing a variety of algorithms present at various hierarchical levels, selecting algorithms with high performance and focus at the cost of preciseness in lower levels and additionally sophisticated, detailed, and accurate algorithms present in top levels.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126158653","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

Effectiveness of Vision Transformers in Human Activity Recognition from Videos 视觉变换在视频人体活动识别中的有效性

2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT) Pub Date : 2023-05-05 DOI: 10.1109/InCACCT57535.2023.10141761

Rahul Kumar, Shailender Kumar

引用次数: 0