2022 International Conference on Artificial Intelligence of Things (ICAIoT)最新文献_第5页

Classification of Traffic in 5G Internet of Things Networks: A New Framework 5G物联网流量分类:新框架

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121821

Sarmad Fouad Naji Al-Jawashee, Mesut Cevik

引用次数: 0

Machine Learning Algorithms for URLs Classification url分类的机器学习算法

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121843

Sabah Salam Khaduair Al Zirjawi, Hawraa Jaafar Murad Kashkool, A. Ibrahim, Mona Idan Ali Al

引用次数: 0

Data Diode for Cyber-security: A Review 数据二极管用于网络安全:综述

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121887

Ismail Ahmed Almaazmi, Mohammed Saeed Al Shehhi, Omar Alkhoori, Salem Jumah Al Shehhi, Yasir Hamid

{"title":"Data Diode for Cyber-security: A Review","authors":"Ismail Ahmed Almaazmi, Mohammed Saeed Al Shehhi, Omar Alkhoori, Salem Jumah Al Shehhi, Yasir Hamid","doi":"10.1109/ICAIoT57170.2022.10121887","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121887","url":null,"abstract":"The rapid growth in network usage and availability has exposed this field to denser and more sophisticated attacks. Sensitive and critical data has been transported over those network nodes and devices, which made them an attack vector to be exploited to gain information or data. To uphold the advantages of the networked systems some data need to be sent out over the highly secure channel. Previous technologies like Firewalls and ACLs being used to pass the data from a highly secure logical area to a lower logical area due to their software nature are proving to be fighting a losing battle with the attackers. Therefore, in the recent past physical security device Aka. Data Diodes which are secure by design and have no documented evidence of flow being reversed are gaining more attention. Unlike software, parameters can tamper, and that leads it to be implemented for those situations in which data need to be secured and protected, while still ensuring full separation between the outside world and the inside world, as data diode can be ranged depending on their complexity from EVL 1 up to EVL 3 in terms of their security strength. In this paper, we provide a comprehensive review of the recent research efforts spared for the data-diodes ranging from their manufacturing to their applications. Furthermore, the paper presents a comparison of data-diodes from options offered by reputed vendors, highlighting the strengths and weekness of each of them.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"144 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120854767","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

Development of CAN and OBD-II Supported Experimental Setup for Vehicle ECU Data Acquisition 基于CAN和OBD-II的汽车ECU数据采集实验装置的研制

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121880

Süleyman Çeven, A. Albayrak, R. Bayir

引用次数: 0

The study on the effects of the height of the core’s window on the leakage reactance of transformers using finite element analysis 用有限元方法研究了铁芯窗高度对变压器漏抗的影响

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121891

Kamran Dawood, Semih Tursun, Ismet Kaymaz

{"title":"The study on the effects of the height of the core’s window on the leakage reactance of transformers using finite element analysis","authors":"Kamran Dawood, Semih Tursun, Ismet Kaymaz","doi":"10.1109/ICAIoT57170.2022.10121891","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121891","url":null,"abstract":"The short-circuit transformer’s behaviour can be easily predicted from its leakage reactance. The relationship between the height of the core window and leakage reactance of the transformers according to almost all of the analytical methods is assumed to be constant under different heights of the core window. This approach is not significantly accurate during severe cases such as those has small differences between the core height and winding height. Finite element analysis is computer software which can help manufacturers and engineers to speed up the process of optimising electrical machines. In this work, a finite element method is used to see the effect of the window height on the leakage reactance of the transformer under the different heights of the window of the core. The three-dimensional methods are used to evaluate the leakage reactance of the transformer for different heights of the core window. The results show that the transformer’s leakage reactance widely varies during the change in the height of the core window for the same geometry of the windings and electrical parameters of the transformer. Hence using analytical methods could result in inaccurate results. Moreover, considering the same ratio between the window height and windings height is no longer valid for all of the transformers.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123120027","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

Machine Tool Condition Monitoring System: A Review on Feasible Solution 机床状态监测系统:可行方案综述

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121847

N. M. Anas, M. Yusof, Mohamad Zarin Abdul Aziz

引用次数: 0

The Impact of the COVID-19 Pandemic on Global Economic Growth: An Analytical Study 新冠肺炎疫情对全球经济增长的影响:一项分析研究

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121845

Mohammed Yousif Oudah Al-Muttar

引用次数: 0

Hardware Design and Integration of Low-cost Edge AI Smart Power Management and Home Automation 低成本边缘人工智能智能电源管理和家庭自动化的硬件设计与集成

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121892

B. Benadda, Adil Benabdellah

引用次数: 0

Improving emotion detection through artificial intelligence from EEG brainwave signals 通过人工智能从脑电波信号中改进情绪检测

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121827

Zaeem Ahmed, S. Shahid

{"title":"Improving emotion detection through artificial intelligence from EEG brainwave signals","authors":"Zaeem Ahmed, S. Shahid","doi":"10.1109/ICAIoT57170.2022.10121827","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121827","url":null,"abstract":"The detection of human mental states has applications in a variety of fields, including healthcare, robotics, neurology, etc. Fundamental human emotion can be identified by facial expressions or bodily movements, but when we need to evaluate the emotions specifically and more precisely. Electroencephalogram (EEG) neuroimaging and other techniques are still in the early stages of detecting a range of emotions shown by individuals. With this brain wave analysis, we will be able to comprehend a respondent’s true feelings, even if they are trying to hide them. The purpose of this study was to use EEG brain wave signals for the detection of emotions and to classify them into three mental states relax, neutral, and concentrating with the help of different artificial intelligence models. The publicly available dataset of the Muse headband was used which was comprised of EEG brainwave signals from four EEG sensors (AF7, AF8, TP9, TP10). As evaluators, we used machine learning models such as Nave Bayes, Bayes Net, J48, Random Tree, and Random Forest, as well as feature selection methods: OneR, information gain, correlation, and symmetrical uncertainty. The overall accuracy of Random Forest was better (95.07%) as compared to other models.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115394305","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

2022 ICAIoT Obituary

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/icaiot57170.2022.10121873

引用次数: 0