2022 International Arab Conference on Information Technology (ACIT)最新文献_第6页

Using Microsoft Teams for Teaching the Arabic Language: Opportunities, Challenges, and Future Actions as Perceived by University Students 使用微软团队教授阿拉伯语:大学生感知到的机遇、挑战和未来行动

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994103

O. Musleh, Mohammad Hussein Ahmad Faqeeh, S. A. Alwaely, Imad Ibraheem Mostafa, A. Kaba

引用次数: 0

Convolutional Neural Networks for Semantic Segmentation: A Recent Survey 语义分割的卷积神经网络研究进展

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994096

Abdelrahman Kaseb, Mahmoud Khaled, Omar Galal

引用次数: 1

Opportunistic Multi-cast Routing for Improved Multimedia Delivery in Emerging Wireless Networks 新兴无线网络中改进多媒体传输的机会多播路由

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994162

H. Salameh, Mustafa Ali

{"title":"Opportunistic Multi-cast Routing for Improved Multimedia Delivery in Emerging Wireless Networks","authors":"H. Salameh, Mustafa Ali","doi":"10.1109/ACIT57182.2022.9994162","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994162","url":null,"abstract":"Multicast routing and cognitive radio (CR) technology are essential in enabling efficient large-scale video sharing and data dissemination in emerging multi-hop wireless networks (e.g., 5G and B5G). Multicast routing can be effectively performed if the spectrum is always accessible to the network. However, the time-variant dynamic primary users (PUs) activities, spectrum heterogeneity across the multi-hop CR network (CRN), and the PU's access priority complicate the task of designing efficient CR-based Multicast routing algorithms. This paper presents a hierarchical multicast routing algorithm for multi-hop CRNs that utilizes the shortest path tree (SPT) concept. The proposed mechanism employs the packet success probability metric to perform the channel assignment over each defined layer in the SPT. The most reliable channel over each layer is utilized to deliver the multicast transmission. The effectiveness of the proposed algorithm is investigated through simulations. Compared to baseline algorithms, the proposed algorithm reveals significant performance improvement in throughput and packet delivery rate (PDR) under different operating scenarios.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116717680","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

Internet of Robotic Things in Early Childhood Education: Domains and Challenges 幼儿教育中的机器人物联网:领域和挑战

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994138

G. Samara, Ghassan M. Alsayyed, Mohammad Aljaidi, S. Almatarneh, Feras Almashakbah, Firas Omar

{"title":"Internet of Robotic Things in Early Childhood Education: Domains and Challenges","authors":"G. Samara, Ghassan M. Alsayyed, Mohammad Aljaidi, S. Almatarneh, Feras Almashakbah, Firas Omar","doi":"10.1109/ACIT57182.2022.9994138","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994138","url":null,"abstract":"The Internet of Things (IoT) revolution, in cooperation with Industry 4.0 and artificial intelligence (AI), plays a significant role in changing the concept of applying technology as a usual tool of computation; many domains are now ready and accepted to adapt to digital transformation. The fusion of these fundamental concepts aids in the discovery of many other concepts, one of which is the Internet of Robotic Things (IoRT), which assists many domains in adapting to change and improving their strategies by utilizing IoRT to survive and compete in this century with other fields in terms of digital transformation. Recently, educational experts have been working hard to transform the field of education from traditional to digital using multiple approaches; these include but are not limited to blended learning, flipped learning, and one-to-one learning. One of the challenging areas in the educational domain is employing IoRT in early childhood education and behavior management. In this survey, the innovations in IoRT and human-robotic interaction (HRI) challenges are outlined, aiming to highlight the essential topics in the early childhood education. This survey will also discuss the role, applications, and influences of IoRT on children's daily life, including behavior and health issues.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124107747","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

A Review of Indoor UAV-based Tracking Systems: Classification, Status, and Challenges 室内无人机跟踪系统综述:分类、现状和挑战

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994161

Mohannad Alhafnawi, Ala’eddin Masadeh, H. Salameh, M. Ayyash, R. El-Khazali, H. Elgala

{"title":"A Review of Indoor UAV-based Tracking Systems: Classification, Status, and Challenges","authors":"Mohannad Alhafnawi, Ala’eddin Masadeh, H. Salameh, M. Ayyash, R. El-Khazali, H. Elgala","doi":"10.1109/ACIT57182.2022.9994161","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994161","url":null,"abstract":"The recent development of Unmanned aerial vehicle (UAV) technology and the UAVs' unique features offered the impetus for new UAV-based applications and services. The UAV's low maintenance cost, small size, outstanding maneuvering capability, and the possibility to be equipped with various technologies(e.g., sensors, cameras, and artificial intelligence (AI) systems) made the UAV-based systems suitable for performing autonomoustasks in indoor and hard-to-reach environments. One of the most promising applications of UAVs in indoor environments is autonomous monitoring and tracking. In this paper, we highlight the unique characteristics of UAV-based tracking systems, discussthe various system classifications based on the target behavior and the number of used UAVs, present some of the work that hasbeen done to design UAV-based indoor monitoring and tracking systems, and discuss the critical design challenges specific to indoor target tracking systems. Finally, we highlight some of the most promising technologies and solutions to develop effective UAV-based indoor monitoring and tracking systems.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127098908","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

The Potential Application Of NFT in the Publishing Industry; Opportunities and Challenges NFT在出版业的潜在应用机遇与挑战

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994159

Maha Rahrouh, Walid Alayash, Mamdouh Ghanem

{"title":"The Potential Application Of NFT in the Publishing Industry; Opportunities and Challenges","authors":"Maha Rahrouh, Walid Alayash, Mamdouh Ghanem","doi":"10.1109/ACIT57182.2022.9994159","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994159","url":null,"abstract":"In the past few years, the world has witnessed a massive development in the digital world, which has led to the emergence of a new advanced trading technology called Non-Fungible Tokens (NFTs) as digital crypto assets using blockchain technology. This technology has expanded and developed by leaps and bounds in various aspects of the digital world, including virtual reality and cryptocurrency. This rapid development has created a marketplace that allows users to create, buy and sell their own unique NFT digital assets quickly and easily compared to the real world while maintaining ownership rights. The huge trading market of NFTs and their remarkable technical advantages have attracted Attention and concerns of musicians, artists, collectors and gamers to such an extent that it has sparked interest in studying the applicability of NFT technology in various sectors of the real world. This research came to study the applicability of non-fungible tokens (NFTs) and their opportunities and challenges in the publishing industry, taking into consideration all its stakeholders, in order to open doors for this industry, and maybe to other potential non-digital (real) industries to benefit from it.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127635664","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 In-Silico Technique: Prediction of Unknown Protein Structure from Sequences by Homology 一种计算机技术:利用同源性预测序列中的未知蛋白质结构

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994198

Wafa Faisal, Hana Eltaveb, M. Hassan, Nusiba Ibrahim

引用次数: 0

Overcoming Limitations of Statistical Methods with Artificial Neural Networks 用人工神经网络克服统计方法的局限性

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994218

Marko Grebovic, Luka Filipović, Ivana Katnic, M. Vukotić, Tomo Popović

{"title":"Overcoming Limitations of Statistical Methods with Artificial Neural Networks","authors":"Marko Grebovic, Luka Filipović, Ivana Katnic, M. Vukotić, Tomo Popović","doi":"10.1109/ACIT57182.2022.9994218","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994218","url":null,"abstract":"Traditional statistical models as tools for summarizing patterns and regularities in observed data can be used for making predictions. However, statistical prediction models contain small number of important predictors, which means limited informative capability. Also, predictive statistical models that provide some type of pseudo-correct regular statistical patterns, are used without previous understanding of the used data causality. Machine Learning (ML) algorithms as area in Artificial Intelligence (AI) provide the ability to interpret and understand data in more sophisticated way. Artificial Neural Networks as kind of ML methods use non-linear algorithms, considering links and associations between parameters, while statistical use one-step-ahead linear processes to improve only short-term prediction's accuracy by minimizing cost function. Disregarding that designing an optimal artificial neural network is very complex process, they are considered as potential solution for overcoming main flaws of statistical prediction models. However, they will not automatically improve predictions accuracy, so several artificial neural networks and traditional statistical methods are evaluated and analyzed through accuracy measures for prediction purposes in various fields of applications. Based on gained results, couple of techniques for improving artificial neural networks are proposed to get better accuracy results than statistical predictive methods.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121484961","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

E-Learning Migration Model for Cloud-based Education 基于云的教育E-Learning迁移模型

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994219

O. Dahham, Hamed Fawareh

引用次数: 0

Blockchain Technology for Secure Shared Medical Data 安全共享医疗数据的区块链技术

2022 International Arab Conference on Information Technology (ACIT) Pub Date : 2022-11-22 DOI: 10.1109/ACIT57182.2022.9994101

M'hamed Mancer, Mohamed Akram Khelili, E. Barka, O. Kazar, S. Slatnia, S. Harous, B. Athamena, Z. Houhamdi

引用次数: 1