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Comparative Analysis of Deadlock Detection Algorithm based on Blockchain 基于区块链的死锁检测算法比较分析
Pub Date : 2023-12-15 DOI: 10.30534/ijccn/2023/011242023
The aim of the study is to compare the deadlock detection algorithms in distributed systems with respective Blockchain technology presented in this paper. Today, detecting deadlocks in distributed systems is a very important challenge. Without the proper deadlock detection mechanism, the system can get stuck in a reject state. The goal of this work is to figure out which algorithm is more suitable for deadlock detection in Blockchain technology based on these factors i-e Security, Time, Performance, Communication, and Correctness. Under the positivism paradigm. The descriptive research design and distributed technique are used to minimize the occurrence of deadlock and to identify the deadlock in parallel collective operation verified up to maximum threads. The algorithms for deadlock detection that are compared in this study are Scalable deadlock detection, Push-relabel algorithm, Knapp’s, Fulgor, and Consensus based on Blockchain technology. Blockchain technology provides a secure environment and helps to build trust. According to this paper, the Fulgor algorithm is more effective at removing deadlocks and maintaining communication security between distributed systems. Both controlled and uncontrolled environments are tested with different algorithms and are compared to define efficiency side-by-side. Deadlock detection requires identifying some properties and message delays in the global state of the distributed system. The number of common parameters has been identified in the selected algorithms to detect deadlocks in a distributed system
本研究的目的是将分布式系统中的死锁检测算法与本文介绍的相应区块链技术进行比较。如今,在分布式系统中检测死锁是一项非常重要的挑战。如果没有适当的死锁检测机制,系统就会陷入拒绝状态。这项工作的目标是根据安全性、时间、性能、通信和正确性等因素,找出哪种算法更适合区块链技术中的死锁检测。在实证主义范式下。采用描述性研究设计和分布式技术,最大限度地减少死锁的发生,并识别并行集体操作中的死锁,最多可验证最多线程。本研究中比较的死锁检测算法有可扩展死锁检测算法、Push-relabel 算法、Knapp's 算法、Fulgor 算法和基于区块链技术的共识算法。区块链技术提供了一个安全的环境,有助于建立信任。本文认为,Fulgor 算法在消除死锁和维护分布式系统间通信安全方面更为有效。本文使用不同的算法对受控和不受控的环境进行了测试,并对其进行了比较,以确定并行效率。死锁检测需要识别分布式系统全局状态中的一些属性和消息延迟。在选定的算法中,已确定了一些共同参数,以检测分布式系统中的死锁情况
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引用次数: 0
A Framework for Meta-Learning in Dynamic Adaptive Streaming over HTTP 基于HTTP的动态自适应流的元学习框架
Pub Date : 2023-06-15 DOI: 10.30534/ijccn/2023/021222023
This work presents a framework with a taxonomy on meta-learning used in Dynamic Adaptive Streaming over HTTP (DASH). With the increasing complexity of network conditions and user preferences, there is a need for efficient adaptation mechanisms in DASH to provide optimal quality of experience (QoE) for users. Meta-learning, or learning to learn, has emerged as a promising approach to enhance adaptive streaming algorithms in DASH by leveraging prior knowledge and experiences. The proposed framework provides a systematic and structured approach for applying meta-learning techniques in the context of DASH. It encompasses essential components, including data collection and preprocessing, meta-model architecture, meta-training, meta-testing, fine-tuning, and continuous improvement. The taxonomy within the framework categorizes various aspects of meta-learning in DASH, such as meta-learning approaches, components, objectives, and applications
这项工作提出了一个框架,其中包含了在HTTP动态自适应流(DASH)中使用的元学习的分类。随着网络条件和用户偏好的日益复杂,DASH需要有效的适应机制来为用户提供最佳的体验质量(QoE)。元学习,或学习学习,已经成为一种很有前途的方法,通过利用先验知识和经验来增强DASH中的自适应流算法。提出的框架为在DASH环境中应用元学习技术提供了一种系统和结构化的方法。它包含基本组件,包括数据收集和预处理、元模型体系结构、元训练、元测试、微调和持续改进。框架中的分类法对DASH中元学习的各个方面进行了分类,例如元学习方法、组件、目标和应用程序
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引用次数: 0
OnionAider: A Model Driven Decision Support System for Weather and Pest-Occurrence Prediction in Onion Cultivation OnionAider:一个模型驱动的洋葱种植天气和病虫害预测决策支持系统
Pub Date : 2023-06-08 DOI: 10.30534/ijccn/2023/011222023
The cultivation of onions is crucial for meeting global demand, as they are widely consumed and used as a seasoning in various dishes worldwide. However, the production of onions is significantly affected by climatic factors and pest infestations. To address these challenges, this study presents OnionAider, a Model Driven Decision Support System that utilizes weather and pest-occurrence prediction models for onion cultivation. The system integrates descriptive, exploratory, historical, and AGILE methodologies to develop a comprehensive mobile application. The effectiveness of OnionAider was evaluated through data retrieval, questionnaires, and interviews with farmers, experts, and relevant stakeholders. The results indicate a strong relationship between climatic data and pest infestation in onions, with temperature and humidity being the primary predictors. The developed mobile application incorporates an algorithm derived from the Proponent-Rete method and offers valuable features for onion farmers. The system complies with ISO 25010 software compliance criteria. This article discusses the methodology, results, and implications of OnionAider in enhancing onion cultivation practices.
洋葱的种植对于满足全球需求至关重要,因为它们被广泛消费,并被用作世界各地各种菜肴的调味料。然而,洋葱的生产受到气候因素和病虫害的显著影响。为了应对这些挑战,本研究提出了OnionAider,这是一个模型驱动的决策支持系统,利用洋葱种植的天气和害虫发生预测模型。该系统集成了描述性、探索性、历史性和AGILE方法来开发一个全面的移动应用程序。通过数据检索、问卷调查以及对农民、专家和相关利益相关者的访谈来评估OnionAider的有效性。结果表明,气候数据与洋葱害虫侵染之间存在很强的关系,温度和湿度是主要的预测因素。开发的移动应用程序结合了一种源自advocate - rete方法的算法,为洋葱种植者提供了有价值的功能。系统符合ISO 25010软件兼容性标准。本文讨论了OnionAider在提高洋葱栽培实践中的方法、结果和意义。
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引用次数: 0
Digital Citizenship and its Role in Achieving the Vision of Kingdom of Saudi Arabia 2030 数字公民身份及其在实现沙特阿拉伯王国2030年愿景中的作用
Pub Date : 2022-12-15 DOI: 10.30534/ijccn/2022/021142022
Digital citizenship is the set of rules, controls, standards, norms, ideas and principles followed in the optimal and correct use of technology, which citizens need in order to contribute to the advancement of the country. Digital citizenship in short is guidance, guidance and protection, guidance and guidance towards the benefits of modern technologies, and protection from their dangers. In short, it is the smart handling of technology. This paper sheds light on digital citizenship and its role in supporting the educational process in accordance with the vision of the Kingdom of Saudi Arabia 2030, given that in today's world and with the development of the world in various fields and the emergence of technological openness and the emergence of digital programs and the spread of modern means of mass communication and its wide range and ease of access to all, I started The importance of digital citizenship, its dimensions, and its effects are clearly evident, as the digital citizen is considered a patriot’s helper, and it is a mirror of his homeland, through which he reflects his values, customs, and traditions. Therefore, he became responsible to everyone in what he says and what he does, and everyone represents the country through his digital personality that he creates himself through his behaviors, participation, and cultures that he creates. He roams around the globe and communicates with others smoothly and easily, in a monitored and documented manner, as if it were a biography of this person. Based on the foregoing, it has become necessary to provide ideal positive models on how to properly use the means of technology in order to set a good example, by spreading the culture of digital citizenship and security awareness among members of society in light of the current scientific developments and their challenges, by encouraging desirable behaviors and fighting unpopular behaviors. In digital transactions, to be the forearms of a patriot, producers, creators, and officials in the digital space, preserving societal values, and practicing positive digital citizenship. To verify the objective of the study, we have used the digital citizenship study questionnaire which was made available electronically, and the number of distributed questionnaires reached 172. After reviewing and checking, we obtained 159 questionnaires valid for statistical analysis according to the target group, who are students. The five-point Likert scale was used as well as the direct questions (yes, no). The five-point Likert scale is characterized by the level measurement (high, above average, average, below average, poor). The analysis of the results using SPSS to measure the arithmetic mean and the recurrence rate showed a number of results that help the researcher to identify the most important skills that need to be strengthened and developed through education and training, to achieve the optimal use of technology and enhance intellectual security, in light of digital
数字公民是在最佳和正确使用技术时遵循的一套规则、控制、标准、规范、想法和原则,公民需要这些规则、控制、标准、规范、想法和原则,以便为国家的进步做出贡献。简而言之,数字公民就是引导、引导和保护,引导和引导现代技术的好处,并防范其危险。简而言之,它是对技术的巧妙处理。本文揭示了数字公民及其作用,支持教育过程按照2030年沙特阿拉伯王国的愿景,因为在当今世界,随着世界各领域的发展和出现的技术开放和数字节目的出现和现代大众传播手段的传播及其广泛,易于访问所有,我开始数字公民的重要性,它的尺寸,它的影响是显而易见的,因为数字公民被认为是爱国者的帮手,它是他祖国的一面镜子,通过它他反映了他的价值观、习俗和传统。因此,他开始对他所说的和所做的每个人负责,每个人都通过他的数字人格来代表这个国家,他通过他的行为、参与和他所创造的文化来创造他自己。他在世界各地漫游,以一种被监控和记录的方式与他人顺畅而轻松地沟通,就好像这是一个人的传记。基于上述情况,有必要提供理想的积极模式,说明如何正确使用技术手段,以树立良好的榜样,根据当前的科学发展及其挑战,在社会成员中传播数字公民文化和安全意识,鼓励可取的行为,打击不受欢迎的行为。在数字交易中,成为数字空间中爱国者、生产者、创造者和官员的臂膀,维护社会价值观,践行积极的数字公民意识。为了验证研究的目的,我们使用了以电子方式提供的数字公民研究问卷,分发的问卷数量达到172份。经过审核和核对,我们根据目标人群为学生,获得了159份有效的问卷进行统计分析。五点李克特量表和直接问题(是,否)都被使用。李克特五点量表的特点是水平测量(高,高于平均,平均,低于平均,差)。使用SPSS对结果进行分析,测量算术平均值和复发率,显示了一些结果,帮助研究人员确定需要通过教育和培训加强和发展的最重要的技能,以实现技术的最佳利用和增强智力安全,根据数字公民准备一个有效的数字公民。
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引用次数: 0
The Effective Role of using Kahoot Application in Supporting University Education in Saudi Universities: Case Study on King Abdulaziz University Jeddah, Saudi Arabia 沙特大学使用Kahoot应用支持大学教育的有效作用——以沙特阿拉伯吉达阿卜杜勒阿齐兹国王大学为例
Pub Date : 2022-12-15 DOI: 10.30534/ijccn/2022/011142022
The Kahoot program now provides more than forty million pre-packaged games in all subjects and in various languages and levels. It is also available to all learners, which makes starting learning on it quickly, easy and appropriate, especially in the distance learning process when the time and conditions are not available to reach the educational institution. Since Kahoot is completely free, it simply requires you to create an account to start working on it. Students can use it through most electronic devices from anywhere and at any time after connecting to the Internet. This study aimed to identify the effectiveness of using Kahoot application in increasing motivation and achievement. The study was done on the faculty of communication and media- King Abdulaziz University. The most important results indicate that the use of the Kahoot application had a positive impact on increasing learning motivation and learning the offensive skills under discussion in a short time. The leaderboards for learners applying Kahoot had a positive impact on indirect learning among learners. Also, the results indicate that although teachers believe that Kahoot is qualified with several positive features, it still suffers from several disadvantages in which it can definitely improve. Finally it was found that the most important advantage of Kahoot application is immediate feedback. The teacher can gather information about how many students get the right answer at once and can compare that information with students’ current level of knowledge about a topic. Kahoot also frees both the teachers and students from traditional assessment and evaluation models
Kahoot计划现在提供了超过四千万款预先包装的游戏,涵盖所有科目、各种语言和级别。它也适用于所有学习者,这使得开始学习迅速,容易和适当的,特别是在远程学习过程中,当时间和条件都无法到达教育机构。由于Kahoot是完全免费的,它只需要你创建一个帐户就可以开始使用它。学生可以在连接到互联网后,随时随地通过大多数电子设备使用它。本研究旨在确定使用Kahoot应用程序在提高动机和成就方面的有效性。这项研究是在阿卜杜勒阿齐兹国王大学传播与媒体学院进行的。最重要的结果是,Kahoot应用程序的使用对提高学习动机和在短时间内学习所讨论的进攻技能有积极的影响。使用Kahoot的学习者排行榜对学习者的间接学习有正向影响。此外,结果表明,尽管教师认为Kahoot具有几个积极的特点,但它仍然存在一些缺点,它肯定可以改进。最后发现Kahoot应用程序最重要的优点是即时反馈。老师可以收集一次有多少学生得到正确答案的信息,并将这些信息与学生当前对某个主题的知识水平进行比较。Kahoot还将教师和学生从传统的评估和评价模式中解放出来
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引用次数: 0
Secured Cloud-Based Internet Of Things Application Reporting System: A Review 基于云的安全物联网应用报告系统综述
Pub Date : 2021-12-07 DOI: 10.30534/ijccn/2021/011042021
O. BabalolaG., Oguntimilehin
Cloud-based Internet of Things environments exhibit different architectures based on the services they provide, thus making it even harder to find ‘global’ security measures. Many of the security issues in relations to Cloud Computing architecture, governance, portability and interoperability, have been addressed in other systems. The specific characteristics of Internet of Things application in Cloud environments result into new security concerns. Various security models have been proposed to deal with security threats ranging from authentication, access control, lightweight security, data privacy and so on. However, users are not aware of the degree of security integrated with the CloudInternet of Things application system thereby limiting the perceived trustworthiness of such systems. Therefore, the need to provide aCloud-based Internet of Things application reporting system that can predict and monitor the effectiveness of such applications cannot be overemphasized. In this paper, reviews of existing Cloud-based Internet of Things security approaches are presented. This paper is concluded by highlighting the future research direction with respect to improving the acceptability of secured Cloud-based Internet of Things deployment
基于云的物联网环境根据其提供的服务表现出不同的架构,因此更难找到“全球”安全措施。许多与云计算体系结构、治理、可移植性和互操作性相关的安全问题已经在其他系统中得到了解决。物联网在云环境下应用的具体特点导致了新的安全问题。已经提出了各种安全模型来处理从身份验证、访问控制、轻量级安全、数据隐私等方面的安全威胁。然而,用户并没有意识到云物联网应用系统集成的安全程度,从而限制了这些系统的可信赖性。因此,提供基于云的物联网应用报告系统来预测和监控这些应用的有效性的需求再怎么强调也不为过。本文综述了现有的基于云的物联网安全方法。最后,本文强调了未来的研究方向,以提高基于云的安全物联网部署的可接受性
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引用次数: 0
Improved Real time Signboard Detection and Translation Using FRCNN 改进的基于FRCNN的实时广告牌检测和翻译
Pub Date : 2021-06-15 DOI: 10.30534/ijccn/2021/011022021
Dona Lal, Jothika Mohan, S. RenjishaT, Saviya Davis, Divya Mohan
In India, majority of people are speaking the language Hindi, but a major portion of signboards are in English. On a business or pleasure trip, the travelers get confused by the various sign boards written in English. As smartphones becomes most popular inrecent years,they canrely on smartphone for the same. This paper explains the work intended to build a mobile application that can recognize the English content and sign present on the signboard image, detect and translate the content and symbols from English to Hindi and display the translated Hindi text back to the screen of the phone. The system uses pre-trained faster regional convolutional neural networkusing pre-trained CNN for object detection, tesseract OCR for text extraction and English-to-Hindi dictionary for translation.
在印度,大多数人说印地语,但大部分招牌都是英文的。在商务或观光旅行中,旅行者会被各种用英语写的告示牌弄糊涂。随着近年来智能手机变得越来越流行,他们可以依靠智能手机来做同样的事情。本文解释了旨在构建一个移动应用程序的工作,该应用程序可以识别标识图像上的英语内容和符号,检测并翻译从英语到印地语的内容和符号,并将翻译后的印地语文本显示回手机屏幕。该系统使用预训练的更快的区域卷积神经网络,使用预训练的CNN进行对象检测,使用tesseract OCR进行文本提取,使用英语到印地语字典进行翻译。
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引用次数: 0
SOA Architecture for Games Digital Distribution 面向游戏数字发行的SOA架构
Pub Date : 2020-12-20 DOI: 10.30534/ijccn/2020/01942019
This study aims to implement SOA in the field of digital distribution games, besides that theapplication of SOA in digital distribution games also has several benefits including helping the users of this game with the effectiveness of time used, besides using SOA on digital distribution games also increases connectivity with providers services ingame service providers are more dynamic. In addition, using SOA in digital distribution games can also speed up standardization servers and application applications and provide bridges (data-bridges) between incompatible technologies
本研究旨在在数字发行游戏领域实施SOA,除此之外,SOA在数字发行游戏中的应用也有几个好处,包括帮助游戏用户使用时间的有效性,此外,在数字发行游戏中使用SOA还增加了与提供商的连接,游戏服务提供商更加动态。此外,在数字发行游戏中使用SOA还可以加快标准化服务器和应用程序应用程序的速度,并在不兼容的技术之间提供桥梁(数据桥)
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引用次数: 0
Logical Review on Educational Data Mining 教育数据挖掘的逻辑综述
Pub Date : 2020-09-25 DOI: 10.30534/ijccn/2020/01932019
{"title":"Logical Review on Educational Data Mining","authors":"","doi":"10.30534/ijccn/2020/01932019","DOIUrl":"https://doi.org/10.30534/ijccn/2020/01932019","url":null,"abstract":"","PeriodicalId":313852,"journal":{"name":"International Journal of Computing, Communications and Networking","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123930107","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: 3
3D-UNet Architecture Using Separable 2D Convolutions 使用可分离二维卷积的3D-UNet架构
Pub Date : 2020-09-02 DOI: 10.30534/ijccn/2020/08922019
Ashlin k Benny
In this decade the main challenge facing in the entire treatment sketch and the evaluation is how vast a brain tumor.one of the most dangerous reason for cancer. Accuracy in quantitative analysis and segmentation of brain are crucial for the treatment sketch. Even though many manual segmentations and magnetic resonance image has emerged they are highly time consuming and error prone.2D and 3D convolutions using neural networks cannot satisfy the whole treating plans of brain tumors even though if possible they are highly expensive in cost of its computation and the demand in its memory .Here we propose 3D UNet architecture using separable 2D convolutions.
在这十年中,整个治疗方案和评估面临的主要挑战是脑肿瘤有多大。这是癌症最危险的原因之一。准确的定量分析和脑的分割是治疗草图的关键。尽管已经出现了许多人工分割和磁共振成像,但它们非常耗时且容易出错。使用神经网络的二维和三维卷积不能满足脑肿瘤的整个治疗方案,即使它们在计算成本和内存需求方面是非常昂贵的。在这里,我们提出了使用可分离二维卷积的三维UNet架构。
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引用次数: 0
期刊
International Journal of Computing, Communications and Networking
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