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2021 International Conference of Modern Trends in Information and Communication Technology Industry (MTICTI)最新文献

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BNC Position Estimation for an Automated Testing Facility in the Production of Oscilloscope 示波器生产中自动测试设备的BNC位置估计
Zhen Guan Tan, Abdul-Malik H. Y. Saad, Antar S.H. Abdul-Qawy, Adnan Haider Yusef Sa'd, N. Alduais, Abdullah B. Nasser, W. Ghanem, B. Al-rimy
Oscilloscopes may contain manufacturing defects in their BNC ports and need to be checked and tested one-by-one before packaging them. The testing process is still done manually by plugging a BNC connector into the BNC ports. Therefore, this work aims to develop an automatic inspection system that can be installed in the testing area in the plant of oscilloscope production. To do so, it needs to find the accurate position of each BNC and its distance from the installed camera on the tester robot arm. This information can be given to the robot arm to do the correct movement. A prototype system is developed based on Hough Circle Detection algorithm to identify the BNC ports. The experimental results show that the developed method is able to determine the distance from the center of the BNC port to the center of the camera, and the according angle between them.
示波器的BNC端口可能存在制造缺陷,在封装之前需要逐一检查和测试。测试过程仍然是通过将BNC连接器插入BNC端口手动完成的。因此,本工作旨在开发一套可安装在示波器生产厂测试区域的自动检测系统。为此,它需要找到每个BNC的准确位置及其与测试机器人手臂上安装的摄像机的距离。这些信息可以给机器人手臂做正确的运动。开发了基于霍夫圆检测算法的BNC接口识别原型系统。实验结果表明,所开发的方法能够确定BNC端口中心到摄像机中心的距离,以及两者之间的相应角度。
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引用次数: 0
A Theoretical Framework For Telecom Internet of Things in Developing Countries 发展中国家电信物联网的理论框架
Manal A. Areqi, Mansoor N. Ali, Ammar T. Zahary
the Internet of things (IoT) works through different types of communication networks. Providing IoT services by operators will bring benefits to IoT and operators alike. Operators must deploy new technologies such as the IoT and must be speeding up their introduction, as it is the growing interest of the end-user, or operators will let themselves out of the technical market. Operators will get an opportunity to invest, which will bring them benefits. Also, IoT will benefit from the maturity and experience of telecom operators. So authors of this paper developed a theoretical framework that helps operators direct their interest in IoT solutions in developing countries. This framework includes the factors affecting the provision of IoT services, whether they are negative or positive also the services. The researchers relied on the previous literature review to conclude this framework. The researchers also concluded that operators have significant untapped opportunities in providing these services.
物联网(IoT)通过不同类型的通信网络工作。运营商提供物联网服务将为物联网和运营商带来好处。运营商必须部署物联网等新技术,并且必须加快其引入速度,因为这是最终用户日益增长的兴趣,否则运营商将退出技术市场。运营商将获得投资的机会,这将为他们带来收益。此外,物联网将受益于电信运营商的成熟和经验。因此,本文的作者开发了一个理论框架,帮助运营商在发展中国家引导他们对物联网解决方案的兴趣。该框架包括影响物联网服务提供的因素,无论这些因素对服务是消极的还是积极的。研究人员根据之前的文献综述得出了这个框架。研究人员还得出结论,运营商在提供这些服务方面还有大量未开发的机会。
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引用次数: 1
Web System as Support to Automate Processes of the Administrative Area of the Pre-University Center 网络系统对大学预科中心行政管理自动化的支持
Jean Williams Osco Pupe, Igor Aguilar-Alonso
Technological advances have provided new ways to reduce costs and time in process flows within organizations. However, in the education sector, most of them still have monotonous processes that need control and supervision manually, in addition, they do not make proper use of these technologies, which does not allow them to improve their workflow. Within these technologies appears the automation of processes that seeks mainly to perform multiple tasks automatically supported by a system or software. Through the use of a web system that allows the automation of certain processes, it will be possible to align the objectives of the institution with the current social situation. The objective of this article is to show the main studies that implement web architectures integrating machine learning technologies, to have a comprehensive approach to the current web standard and its integration into new technologies. The methodology used was the search and review of articles that implement web architectures together with machine learning technologies, published in recent years. In the review of articles, a total of 56 articles were obtained, of which 20 were selected and used for the writing of this article. The result of this research is the proposal of a web architecture model that allows the automation of processes and the integration of machine learning based on the main architectures found in the literature review.
技术进步提供了新的方法来减少组织内部流程流的成本和时间。然而,在教育领域,他们中的大多数人仍然有单调的流程,需要人工控制和监督,而且他们没有正确使用这些技术,这使得他们无法改善他们的工作流程。在这些技术中出现了过程的自动化,主要是寻求由系统或软件自动执行多个任务。通过使用允许某些过程自动化的网络系统,将有可能使该机构的目标与当前的社会形势保持一致。本文的目的是展示集成机器学习技术的web架构实现的主要研究,对当前的web标准及其与新技术的集成有一个全面的方法。使用的方法是搜索和回顾近年来发表的将web架构与机器学习技术结合起来实现的文章。在文章的评审中,共获得56篇文章,从中选择了20篇文章用于本文的写作。这项研究的结果是提出了一个web架构模型,该模型允许基于文献综述中发现的主要架构的流程自动化和机器学习的集成。
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引用次数: 0
Impact of IT Service Management and ITIL Framework on the Businesses IT服务管理和ITIL框架对企业的影响
Yahya Al-Ashmoery, Hisham Haider, Adnan Haider, Najran Nasser, Mohammed Al-Sarem
The use of information technology (IT) in businesses has increased recently because, today, organizations focus on implementing their services and processes with IT concepts to guarantee the quality of business processes and services. Accordingly, it is important for any organization to use information technology service management to develop its capabilities. ITIL stands for Information Technology Infrastructure Library, and it is a collection of best practices for managing information technology and developing IT support and service quality levels. ITIL is the most widely used framework for ensuring that IT services are aligned with business strategy goals, even as those goals shift. When implementing an ITIL system, we should start with the Incident Management Process (IMP). In this paper, the Information Technology Infrastructure Library (ITIL), as well as its mechanisms and components, are discussed.
信息技术(IT)在企业中的使用最近有所增加,因为今天,组织关注于使用IT概念实现其服务和流程,以保证业务流程和服务的质量。因此,对于任何组织来说,利用信息技术服务管理来发展其能力都是很重要的。ITIL代表信息技术基础设施库,它是管理信息技术和开发it支持和服务质量水平的最佳实践的集合。ITIL是最广泛使用的框架,用于确保IT服务与业务战略目标保持一致,即使这些目标发生了变化。在实现ITIL系统时,我们应该从事件管理过程(IMP)开始。本文讨论了信息技术基础设施库(ITIL)及其构成机制和组成部分。
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引用次数: 3
Coexistence Analysis Between 5G NR and LTE Network at 1.8 GHz 1.8 GHz 5G NR与LTE网络共存分析
Danyang Li, Dong Zhou, Liyuan Zhong
With the rapid growth of 5G new radio (NR) network, efficient spectrum resource utilization is one of the current biggest challenges. To solve this problem, the operator is beginning the construction of spectrum refarming which may cause the interference issue among different services. Thus, the study on interference coexistence between 5G NR and other networks is becoming more and more significant. Based on existing communication networks, this paper presents the sharing studies with 5G NR frequency division duplexing (FDD) and LTE time division duplexing (TDD) in 1.8 GHz band. Firstly, we provide an academic method, then we use the Monte Carlo method and apply system-level simulation. Finally, we conclude that whether in co-location and non-co-location topology, based on necessary adjacent channel interference ratio (ACIR), the coexistence of 5G NR FDD and LTE TDD can be achieved in the 1.8 GHz band.
随着5G新空口网络的快速发展,频谱资源的高效利用是当前最大的挑战之一。为了解决这一问题,运营商开始了频谱重分的建设,这可能会导致不同业务之间的干扰问题。因此,5G NR与其他网络干扰共存的研究变得越来越重要。在现有通信网络的基础上,对1.8 GHz频段5G NR频分双工(FDD)和LTE时分双工(TDD)进行了共享研究。首先给出了一种理论方法,然后采用蒙特卡罗方法进行了系统级仿真。最后,我们得出结论,无论在同址和非同址拓扑下,基于必要相邻信道干扰比(ACIR), 5G NR FDD和LTE TDD都可以在1.8 GHz频段实现共存。
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引用次数: 3
Students’ Perception of Online Learning during Covid-19 Pandemic at Al-Ahgaff University, Yemen: A Survey 2019冠状病毒病大流行期间也门阿格夫大学学生对在线学习的看法:一项调查
Hamzah Alaidaros, A. Kherd, Hussein Ali Al-Aidroos
The pandemic of Coronavirus (Covid-19) has forced universities worldwide to implement online classrooms instead of the conventional classroom. In this direction, Al-Ahgaff University, Yemen, is the leading university that started adopting online learning during the Covid-19 pandemic. The main aim of this study is to investigate the perception of Al-Ahgaff students in the alternative online learning mode. Data were collected through an online survey involving 119 students and analyzed by using thematic analysis. The students’ perceptions were recorded in terms of problems faced and advantages yielded from implementing online learning. The results reveal that using online learning has several benefits, and it is the best way during the Covid-19 pandemic. However, students confirm that they faced different obstacles, such as electric disconnecting, weakness of the Internet, and difficulty in discussion with lecturers. It is hoped that the current study’s findings could be stimulated further discussion to overcome online learning problems.
新型冠状病毒(Covid-19)大流行迫使世界各地的大学实施在线课堂,而不是传统课堂。在这方面,也门阿格夫大学(Al-Ahgaff University)是在新冠疫情期间开始采用在线学习的领先大学。本研究的主要目的是调查Al-Ahgaff学生对另类在线学习模式的看法。通过对119名学生的在线调查收集数据,并采用主题分析法进行分析。学生的看法被记录在面临的问题和实施在线学习所产生的优势方面。结果表明,使用在线学习有几个好处,并且是Covid-19大流行期间的最佳方式。然而,学生们证实,他们面临着不同的障碍,如电力中断,互联网薄弱,难以与讲师讨论。希望目前的研究结果可以激发进一步的讨论,以克服在线学习的问题。
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引用次数: 4
A Review on Gamification for Information Security Training 信息安全培训游戏化研究综述
K. Sharif, S. Ameen
Every day a vast number of user attacks occur frequently. There are vast prevention techniques and responses, but these techniques are effective only if used efficiently. The efficiency of information security training programs must be increased by encouraging employees to make an effort to transfer the learned skills into their daily work. Providing adequate training programs is one of the essential tasks that organizations have to fulfil. Gamification provides positive results because it can counter existing training weaknesses, such as interaction, motivation and engagement. This review paper aims to show how training methods are adopted for raising cyber security awareness, how the most effective method can be selected, and the gaps in those training methods used to deliver cyber security information awareness?
每天都有大量的用户攻击频繁发生。有大量的预防技术和对策,但这些技术只有在有效使用时才有效。必须通过鼓励员工努力将学到的技能应用到日常工作中来提高信息安全培训计划的效率。提供适当的培训计划是组织必须完成的基本任务之一。游戏化带来了积极的结果,因为它可以克服现有的培训弱点,如互动性、积极性和参与度。本文旨在展示如何采用培训方法来提高网络安全意识,如何选择最有效的方法,以及这些培训方法在传递网络安全信息意识方面存在的差距。
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引用次数: 2
An Advanced Approach for Optical Large Size Colored Image Compression Using RGB Laser Beams: Simulation Results 一种基于RGB激光束的大尺寸彩色图像压缩方法:仿真结果
A. Alkholidi
Theoretical image compression could have the ability to effectively reduce the data size by eliminating undesirable information to consequently get more space as well as time for hastening transmission. The objective of the proposed approach is to introduce a new algorithm for color image compression using RGB laser beams and reduce the time required to compress/decompress an image due to coherent optics. Research methodology used laser beams as a solution to simulate, implement, analyze, and evaluate images. Succinctly, the advantages of this approach are simple, fast, straightforward, and can be done numerically or optically. An optical setup for compression/decomposition of colored images has been actually indicated. In addition, we provided illustrative simulations to validate our proposed method and assess its performance on various types of color images. The aim of this method is oriented towards large-sized images wherever the image is processed as a whole without being divided into blocks. The significance and outcome of the proposed approach are to reduce the time required to process an image and to hasten transmission. The most important recommendation of this paper is to implement optically the proposed implementation and evaluate the real-time obtained results.
理论上的图像压缩可以通过消除不需要的信息来有效地减小数据大小,从而获得更多的空间和时间来加速传输。提出的方法的目的是引入一种使用RGB激光束的彩色图像压缩的新算法,并减少由于相干光学而压缩/解压缩图像所需的时间。研究方法使用激光束作为模拟、实现、分析和评估图像的解决方案。简而言之,这种方法的优点是简单、快速、直接,可以用数值或光学方法完成。实际上已经指出了用于压缩/分解彩色图像的光学装置。此外,我们提供了说明性模拟来验证我们提出的方法,并评估其在各种类型的彩色图像上的性能。这种方法的目的是针对大尺寸的图像,即图像作为一个整体进行处理,而不是分成块。所提出的方法的意义和结果是减少处理图像所需的时间和加快传输。本文最重要的建议是光学地实现所提出的实现并评估实时获得的结果。
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引用次数: 0
An Effective Algorithm for Mining Interesting Maximal Association Rules 一种挖掘兴趣最大关联规则的有效算法
Fatima Mohammed Al-Kebsi, Khalil Al-Wagih, B. Al-Maqaleh
Most existing algorithms focus on Association Rules Mining (ARM) based on a traditional support-confidence framework. These algorithms produce a large number of redundant rules, the majority of which are irrelevant to the users or do not imply a correlation relationship between related itemsets. In this paper, an effective algorithm that incorporates the generation of Maximal Frequent Itemsets (MFIs) that ensures removal of redundancy and correlation analysis has been adopted as an interesting measure is suggested. The proposed algorithm integrates the support-all-confidence measures as a new constraint framework to be pushed deep during the mining process of MFIs to generate a reduced and complete set of All-Confident Correlated Maximal Frequent Itemsets (ACCMFIs) directly from large datasets. Consequently, the generated ACCMFIs are considered as a new basis for the discovery of Interesting Maximal Association Rules (IMARs). The proposed algorithm has been developed, and the experimental results demonstrate its utility and effectiveness.
现有算法大多集中在基于传统支持度-置信度框架的关联规则挖掘(ARM)上。这些算法产生了大量冗余规则,其中大多数与用户无关或不暗示相关项集之间的关联关系。本文提出了一种有效的算法,该算法结合了最大频繁项集(mfi)的生成,保证了冗余和相关分析的去除。该算法将支持全置信度测度作为一种新的约束框架,在mfi挖掘过程中进行深度推入,直接从大数据集中生成全置信度相关最大频繁项集(accmfi)的约简完整集。因此,所生成的accmfi被认为是发现有趣最大关联规则(imar)的新基础。实验结果证明了该算法的实用性和有效性。
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引用次数: 0
Understanding Users’ Social TV Content using Artificial Intelligence Approach: A Survey 使用人工智能方法理解用户的社交电视内容:一项调查
M. Habes, Sana Ali, M. Elareshi, K. Tahat, Abdul-Karim Ziani
Social networking sits with the rapid technological advancement have changed our concept of TV landscape, as a result of the increased use of artificial intelligence in choosing online content for users’ interaction such as Social TV content in YouTube. With the conceptual of sociability, this paper analyzes the impact of artificial intelligence in choosing Social TV content for Jordanian YouTubers. It aims to understand how respondents interact and attitudes towards Social TV content and its sociability based on artificial intelligence tool. Methodologically, a cross-sectional design survey was used with a randomly selected of 300 Jordanian participants currently having YouTube accounts and prefer watching Social TV on YouTube. Data were analyzed using SmartPls approach. Results indicated a strong, positive relationship between interaction, elements, and digital content and artificial intelligence in Social TV content selection. However, the relationship between interaction and Social TV content selection, and artificial intelligence and Social TV content selection is strongly mediated by the YouTubers. Thus, respondents’ customization of settings enabled artificial intelligence to choose the Social TV content for them.
随着技术的快速进步,社交网络改变了我们对电视景观的概念,因为人工智能在选择用户互动的在线内容方面的使用越来越多,比如YouTube上的社交电视内容。本文以社交性为概念,分析人工智能对约旦youtuber选择社交电视内容的影响。它旨在了解受访者如何互动以及对社交电视内容及其社交性的态度。在方法上,采用了横断面设计调查,随机选择了300名约旦参与者,他们目前拥有YouTube账户,更喜欢在YouTube上观看社交电视。数据分析采用SmartPls方法。结果表明,在社交电视内容选择中,交互、元素、数字内容和人工智能之间存在强烈的正相关关系。然而,互动与社交电视内容选择之间的关系,以及人工智能与社交电视内容选择之间的关系,在很大程度上是由youtuber介导的。因此,受访者的自定义设置使人工智能能够为他们选择社交电视内容。
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引用次数: 8
期刊
2021 International Conference of Modern Trends in Information and Communication Technology Industry (MTICTI)
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