Journal of Intelligent Systems and Internet of Things最新文献_第8页

A Novel Artificial Intelligence Based Internet of Things for Fall Detection of Elderly Care Monitoring 一种基于人工智能的新型物联网老年人护理监测跌倒检测

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.030102

G. Gopinath, Kirubasri G. G.V., Haritha Sasikumar, Yazhini .., Jagruti Patil

{"title":"A Novel Artificial Intelligence Based Internet of Things for Fall Detection of Elderly Care Monitoring","authors":"G. Gopinath, Kirubasri G. G.V., Haritha Sasikumar, Yazhini .., Jagruti Patil","doi":"10.54216/jisiot.030102","DOIUrl":"https://doi.org/10.54216/jisiot.030102","url":null,"abstract":"A fall of an older adult often leads to severe injuries and is found to be a significant reason for the death due to post-traumatic complications. Many falls happen in the home atmosphere and prevail unrecognized. Thus, the need for reliable early fall detection is necessary for fast help. Lately, the emergence of wearables, smartphones, IoT, etc., made it possible to develop systems fall detection which aids in the remote monitoring of the elderly. The goal is to allow intelligent algorithms and smartphones to detect falls for elderly care and to monitor them regularly. This work presents the Artificial Intelligence of Things for Fall Detection (AIOTFD) system using a slime mould algorithm (SMA) to optimize the final data. The features extracted using SqueezeNet further CNN based SMA used for data optimization. The validation of the AIOTFD model performance is evaluated through the Multiple Cameras Fall Dataset (MCFD) and UR Fall Detection dataset (URFD). The empirical results accentuated the assuring realization of the model compared to other state-of the art methods.The obtained results shows our proposed AIOTFD attains accuracy of 99.82% and 99.79% and databases can be used for additional investigation and optimizations to increase the recognition rate to enhance the independent life of the elderly.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124489843","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: 7

Efficient Share Generator for Slicing and Securely Retrieving the Cloud-Hosted Heterogeneous Multimedia Data 用于云托管异构多媒体数据切片和安全检索的高效共享生成器

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.050103

A. Admin

{"title":"Efficient Share Generator for Slicing and Securely Retrieving the Cloud-Hosted Heterogeneous Multimedia Data","authors":"A. Admin","doi":"10.54216/jisiot.050103","DOIUrl":"https://doi.org/10.54216/jisiot.050103","url":null,"abstract":"Recently, the security of heterogeneous multimedia data becomes a very critical issue, substantially with the proliferation of multimedia data and applications. Cloud computing is the hidden back-end for storing heterogeneous multimedia data. Notwithstanding that using cloud storage is indispensable, but the remote storage servers are untrusted. Therefore, one of the most critical challenges is securing multimedia data storage and retrieval from the untrusted cloud servers. This paper applies a Shamir Secrete-Sharing scheme and integrates with cloud computing to guarantee efficiency and security for sensitive multimedia data storage and retrieval. The proposed scheme can fully support the comprehensive and multilevel security control requirements for the cloud-hosted multimedia data and applications. In addition, our scheme is also based on a source transformation that provides powerful mutual interdependence in its encrypted representation—the Share Generator slices and encrypts the multimedia data before sending it to the cloud storage. The extensive experimental evaluation on various configurations confirmed the effectiveness and efficiency of our scheme, which showed excellent performance and compatibility with several implementation strategies.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796888","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: 4

An Improved Metaheuristic based Node Localization Technique for Wireless Sensor Networks 基于改进元启发式的无线传感器网络节点定位技术

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.050204

M. Elsharkawy, I. S. Farahat

{"title":"An Improved Metaheuristic based Node Localization Technique for Wireless Sensor Networks","authors":"M. Elsharkawy, I. S. Farahat","doi":"10.54216/jisiot.050204","DOIUrl":"https://doi.org/10.54216/jisiot.050204","url":null,"abstract":"Cloud computing (CC) becomes a familiar topic in offering unlimited access to services as well as resources via the Internet. A comprehensive CC management system is needed to collect details of the task processing and ensure proper resource allocation with the accomplishment of Quality of Service (QoS). At the same time, virtual machine (VM) migration is a crucial problem in the CC platform which contributes to energy utilization and resource usage. Therefore, this paper presents a new energy-aware elephant herd optimization-based VM migration (EAEHO-VMM) scheme. The EAEHO-VMM algorithm aims to migrate the VMs and prediction failure VMs. At the initial stage, the EHO algorithm is executed to minimize the energy utilization of the VM migration process in the CC environment. In addition, a support vector machine (SVM) model is applied to identify the failure VMs and allows relocation in an effective way. In order to make sure the better performance of the EAEHO-VMM algorithm, a series of simulations take place, and the results are investigated in terms of different aspects. The experimental outcomes ensured the enhanced VM migration performance of the EAEHO-VMM algorithm over the other techniques.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116010204","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

Security Challenges and Solutions in the Internet of Things 物联网的安全挑战与解决方案

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.060206

A. Abdullah, Ibrahim Elhenawy, A. Abdelmonem

{"title":"Security Challenges and Solutions in the Internet of Things","authors":"A. Abdullah, Ibrahim Elhenawy, A. Abdelmonem","doi":"10.54216/jisiot.060206","DOIUrl":"https://doi.org/10.54216/jisiot.060206","url":null,"abstract":"The Internet of Things (IoT) is pervasive in today's world and may be located almost throughout. It is employed in smart cities for things like highways and clinics, as well as in smart buildings for things like regulating doors and air conditioner units, avoiding fires, and many other things. The Internet of Things (IoT) refers to a set of interconnected computing devices that may communicate with one another by exchanging data over the internet. This provides the opportunity for the attacker to penetrate the IoT technologies and get the important data they contain. The restricted measure performance of IoT systems is the source of the issue, as they make it impossible to implement the conventional security mechanism on these devices. As a result of this constraint, it is necessary to propose lightweight algorithms that are capable of supporting IoT devices. However, Internet of Things (IoT) safety and confidentiality are important challenges that might impede the technology's long-term growth. In this study, we have addressed the security of the internet of things from two primary vantage points, namely, IoT design and protocols. We cover the many levels that make up the architecture of the Internet of Things (IoT), as well as the security problems that are connected with those layers and the possible alternatives to those concerns. We went through a variety of protocols that are used in the layered evolution of the Internet of Things, as well as the security mechanisms that were built for every protocol","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116724171","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: 6

An Edge Intelligence Framework for Elegant Power Management in IoT-enabled Power Grids 在支持物联网的电网中实现优雅电源管理的边缘智能框架

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.060204

I. Pustokhina, D. A. Pustokhin

{"title":"An Edge Intelligence Framework for Elegant Power Management in IoT-enabled Power Grids","authors":"I. Pustokhina, D. A. Pustokhin","doi":"10.54216/jisiot.060204","DOIUrl":"https://doi.org/10.54216/jisiot.060204","url":null,"abstract":"The Internet of Things (IoT) is a concept that has the potential to attract new audiences in fields as diverse as manufacturing, healthcare, and more. IoT devices included in the sensor were the primary drivers of the massive data collection. To successfully combine, assess, and comprehend all program objects, thus, self-adaptive algorithms based on AI are necessary. The proliferation of both massive datasets and resource-intensive IoT devices makes stringent power management essential. The proliferation of both massive datasets and resource-intensive Internet of Things devices makes stringent energy management essential. Combining IoT with AI-based techniques is crucial for equitable power distribution to compact mobile devices. To this end, we offer an efficient way to communicate between power utilities and end users by forecasting future power usage over short periods of time. Innovations include a revolutionary convolutional recurrent model for a lightweight prediction method with low duration intricacy and minimum margins of error, as well as massive energy administration for edge devices via a centralized cloud-based data supervisory server. To maintain the power consumption and supply paradox efficiently, the suggested scheme has mobile nodes interact with a central remote server via an IoT network and then on to the corresponding power grid. We use a number of preparation methods to accommodate the varied electrical data, and then we construct a powerful decision-making engine for quick prediction on devices with limited resources.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133094134","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

Intelligent System for Ranking Big Data in Search Engine 搜索引擎大数据排序智能系统

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.030201

M. -, M. E. EL-Hasnony

引用次数: 0

Intelligent System for Forecasting Failure of Agile Projects 敏捷项目失败预测智能系统

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.050102

A. Abdelaziz, A. N. Mahmoud

引用次数: 2

From the Wireless Sensor Networks (WSNs) to the Web of Things (WoT): An Overview 从无线传感器网络到物联网(WoT):概述

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.040201

Mina Younan, S. Khattab, R. Bahgat

引用次数: 8

An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers 识别工业4.0、物联网和循环经济采用障碍的智能模型

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.040104

A. Abdelmonem, Shimaa S. Mohamed

引用次数: 0

A Multi-level Fusion System for Intelligent Capture and Assessment of Student Activity in Physical Training based on Machine Learning 基于机器学习的体育训练中学生活动智能捕捉与评估多级融合系统

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.090101

M. Altaee, A. Jawad, M. Jalil, S. Al-Kikani, A. Oleiwi, Hatira Gunerhan

引用次数: 0