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2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)最新文献

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E-learning course as a space of a “virtual atelier” in art education 电子学习课程作为艺术教育中的一个“虚拟工作室”空间
L. Lipárová, R. Pondelíková, P. Voštinár
The paper deals with using the electronic environment of LMS Moodle for supporting the art education in the preparation of the future teachers of art and pre-primary and primary level. During our research, we tried to find a qualitative way how to use the cyberspace of electronic course - to create a kind of virtual “atelier” where students expose their realizations, experiences, opinions and attitudes.
本文论述了利用LMS Moodle的电子环境支持艺术教育,培养未来的艺术教师以及学前和小学阶段的艺术教师。在我们的研究中,我们试图找到一种定性的方式来利用电子课程的网络空间——创建一种虚拟的“工作室”,让学生在这里展示他们的认识、经验、观点和态度。
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引用次数: 1
Deep Learning Powered Class Attendance System Based on Edge Computing 基于边缘计算的深度学习支持的考勤系统
L. Pomšár, E. Kajati, I. Zolotová
While digitalization of the education sector has been going for years, most monotonous administrative tasks are still being performed manually. One of those tasks is class attendance tracking. On all levels of the Slovak educational system, teachers still spend several minutes trying to figure out who is absent from the class. This, mostly manual work, can be easily automatized with the help of the modern technology. We present an edge-based deep-learning powered class attendance system based on the Dlib machine learning framework and NVIDIA Jetson Nano platform to tackle this problem.
虽然教育部门的数字化已经进行了多年,但大多数单调的行政任务仍然是手工执行的。其中一项任务是课堂出勤跟踪。在斯洛伐克各级教育系统中,老师们仍然要花几分钟的时间来弄清楚谁缺课了。这大部分是手工工作,在现代技术的帮助下可以很容易地自动化。我们提出了一种基于Dlib机器学习框架和NVIDIA Jetson Nano平台的基于边缘的深度学习驱动的考勤系统来解决这个问题。
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引用次数: 0
Analysis of Logs in the Environment of Email Services 邮件服务环境日志分析
M. Chovanec, Martin Havrilla, E. Chovancová
The work deals with the analysis of logs and audit records from email services. The growing trend of using email services as well as other electronic communication creates the need and emphasis on ensuring the reliability of these services. In the presented proposal, the work uses modern methods of log analysis and then interprets them into a visual form, uses knowledge from non-relational databases, methods of analysis and processing of audit records and uses a number of tools that participate in creating outputs. Among non-relational databases such as ElasticSearch, Apache Kafka, Redis, Splunk and MongoDB, the work selects the most suitable database for its purposes. It also discusses methods of data collection as well as their subsequent analysis and visualization. The work also uses the tools of third parties or protocols covering the collection and creation of outputs from audit logs, such as NXlog or Syslog-NG. Finally, the work focuses on the evaluation of possible safety as well as functional risks.
该工作处理来自电子邮件服务的日志和审计记录的分析。使用电子邮件服务以及其他电子通信的趋势日益增长,因此需要并强调确保这些服务的可靠性。在提出的建议中,工作使用现代日志分析方法,然后将其解释为可视化形式,使用来自非关系数据库的知识,分析和处理审计记录的方法,并使用一些参与创建输出的工具。在ElasticSearch, Apache Kafka, Redis, Splunk和MongoDB等非关系数据库中,工作选择最适合其目的的数据库。它还讨论了数据收集的方法,以及它们的后续分析和可视化。这项工作还使用第三方工具或协议来收集和创建审计日志的输出,例如NXlog或Syslog-NG。最后,对可能的安全性和功能风险进行了评估。
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引用次数: 0
Y robot extension module for educational and marketing purposes Y机器人扩展模块,用于教育和营销目的
L. Formanek, O. Karpis
At the Faculty of Management Science and Informatics, of University of Žilina an initiative was created to support the increase of interest in the study of hardware oriented programmees, such as the Computer Engineering programmee which we offer. This paper focuses at further explanation of one of the additional modules of the open-source platform Yrobot. Yrobot is a modular education robotic platform which is dedicated to support the teaching of robotics and other hardware subjects in high schools and universities. The extension module based on Bluetooth technology enables wireless work and control of Yrobot, which can be used and extended at the robotics lessons in teaching.
在Žilina大学的管理科学与信息学院,我们发起了一项倡议,以支持对硬件导向课程的研究兴趣的增加,例如我们提供的计算机工程课程。本文重点对开源平台Yrobot的一个附加模块进行了进一步的说明。Yrobot是一个模块化的教育机器人平台,致力于支持高中和大学的机器人和其他硬件学科的教学。基于蓝牙技术的扩展模块实现了Yrobot的无线工作和控制,可以在机器人教学课程中使用和扩展。
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引用次数: 0
System thinking competence and smart devices in programming education 编程教育中的系统思维能力与智能设备
Szilásrd Korom, Illés Zoltán
External programmable devices getting more and more popular in programming education. Those devices are mainly robots., but not necessarily like Arduino or Raspberry Pi. In this article., we try to prove that the general-purpose external devices open a completely new possibility to improve system thinking in different levels through the programming education.
外部可编程器件在编程教育中越来越受欢迎。这些设备主要是机器人。,但不一定像Arduino或树莓派。在本文中。通过编程教育,我们试图证明通用外部设备为提高不同层次的系统思维开辟了一种全新的可能性。
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引用次数: 2
Education with physical device BBC micro:bit 教育用物理设备BBC micro:bit
R. Krnaáč, M. Cápay, Š. Koprda
The article deals with the programming of pupils in primary schools. In the long term, there is a growing lack of interest in computer science lessons and especially in programming. Is it possible to change less popular lessons so that students perceive IT and programming positively and learn easier than ever? Until now, classic hardware programming devices included Arduino or Raspberry Pi, which were often less suitable for students because of the complexity of their programming. With the introduction of the BBC micro: bit, pupils and teachers have opened up new opportunities for teaching and learning. The development environment, which can be controlled using blocks I of the microPython or Java language, is processed in several languages, which provides the students with a major relief from the need to translate text and their focus can be fully focused on programming. In short, we will introduce Arduino, Raspberry Pi and take a closer look at the BBC micro: bit, its features, sensors and capabilities, making it one of the most appropriate means to implement in education. We will focus on the results of research that have been carried out in the field of student programming abroad and in Slovakia and will evaluate the impact of the facility on the effectiveness of computer science teaching.
这篇文章论述了小学生的规划问题。从长远来看,人们对计算机科学课程,尤其是编程课程越来越缺乏兴趣。是否有可能改变不太受欢迎的课程,让学生积极地看待it和编程,比以往更容易学习?到目前为止,经典的硬件编程设备包括Arduino或Raspberry Pi,由于编程的复杂性,它们通常不太适合学生。随着BBC micro: bit的引入,学生和老师为教学和学习开辟了新的机会。开发环境可以使用microPython或Java语言的block I进行控制,并以几种语言进行处理,这使学生从翻译文本的需要中解脱出来,他们的注意力可以完全集中在编程上。简而言之,我们将介绍Arduino,树莓派,并仔细研究BBC micro: bit,它的特性,传感器和功能,使其成为教育中最合适的实现手段之一。我们将重点关注在国外和斯洛伐克学生编程领域开展的研究成果,并将评估该设施对计算机科学教学有效性的影响。
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引用次数: 2
Advanced Biometric Systems Utilizing Neural Networks in Identity Evaluation 利用神经网络进行身份评估的先进生物识别系统
Martin Messerschmidt, Matus Pleva
Neural networks have become a staple of today's day and age. Its data classification usage is very pronounced in biometrics. Its use can be seen notably in the fingerprint, iris, or facial recognition biometrics. However, the fact is that neural networks are intrinsic to biometrics in their authentication capabilities. This is not to say that every biometric system must employ these methods; rather that they are applicable to any biometric method. For this reason, in this paper, we will expand upon the presented biometric methods. In this paper, we will be presenting more advanced techniques such as finger vein and retina recognition; and alternative methods such as ECG and odor biometrics. We will converge on showcasing these methods as well as exhibiting their current usage in today's climate.
神经网络已经成为当今时代的主要内容。它的数据分类用法在生物识别学中非常明显。它的使用可以在指纹、虹膜或面部识别生物特征中明显看到。然而,事实是,神经网络在其身份验证能力方面是生物识别技术固有的。这并不是说每个生物识别系统都必须采用这些方法;更确切地说,它们适用于任何生物识别方法。出于这个原因,在本文中,我们将扩展提出的生物识别方法。在本文中,我们将介绍更先进的技术,如手指静脉和视网膜识别;以及诸如ECG和气味生物识别等替代方法。我们将集中展示这些方法,并展示它们在当今气候下的当前用法。
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引用次数: 0
Private cloud security architecture 私有云安全架构
M. Drozdova, I. Bridova, J. Uramová, M. Moravčík
Cyber security is a current topic of the cyberspace, which includes Cloud Computing (CC) systems. Current use of CC and its expected development require strong security measures. The reason is the fact that data with sensitive information from several users enters the CC system and the disruption of the system or the leakage of such information is unacceptable. As how in building architecture, it is necessary to dimension the foundations, retaining walls and other parts of the building so that as a whole they form a fixed structure, in the architecture of ICT systems we must look at all components of each partial system too. Security architecture is one viewpoint of development in CC systems. Each deployment model and each CC service model in a particular implementation environment requires its own security framework. ICT standardization organizations have issued several recommendations and standards that provide principles for followed in the specific implementation of CC. The authors of the article used them in processing the Architecture description of the OpenStack private cloud in a university environment.
网络安全是当今网络空间的一个热门话题,其中包括云计算系统。CC的当前使用及其预期的发展需要强有力的安全措施。原因是多个用户的敏感信息数据进入CC系统,系统的中断或此类信息的泄漏是不可接受的。就像在建筑中,有必要对基础、挡土墙和建筑的其他部分进行尺寸测量,以便它们作为一个整体形成一个固定的结构,在ICT系统的架构中,我们也必须考虑每个部分系统的所有组成部分。安全体系结构是CC系统开发的一个观点。特定实现环境中的每个部署模型和每个CC服务模型都需要自己的安全框架。ICT标准化组织已经发布了一些建议和标准,为CC的具体实现提供了遵循的原则,本文作者在处理大学环境中OpenStack私有云的架构描述时使用了这些建议和标准。
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引用次数: 0
Fully Immersive Web-Based Collaborative Virtual Environment for Upper Limb Rehabilitation Purposes 用于上肢康复目的的完全沉浸式基于网络的协作虚拟环境
M. Hudák, B. Sobota, Š. Korečko, M. Sivý
Web-based collaborative virtual reality is emerging as platform-independent technology that permits developers to produce fully immersive and interactive virtual environments accessible through web-browsers. The use of collaborative virtual environments can be helpful in situations when therapists and patients are unable to meet personally. This work introduces an extension of the LIRKIS G-CVE system with web-based interfaces for remote management of the upper limb rehabilitation process. Concerning the quality and safety of web technologies., we consider distant virtual training to be efficient for ordinary people.
基于网络的协作式虚拟现实作为一种平台无关的技术正在兴起,它允许开发人员通过网络浏览器创建完全沉浸式的交互式虚拟环境。协作虚拟环境的使用在治疗师和患者无法亲自见面的情况下是有帮助的。这项工作介绍了一个扩展的基于网络接口的likkis G-CVE系统,用于上肢康复过程的远程管理。关于网络技术的质量和安全。,我们认为远程虚拟培训对普通人来说是有效的。
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引用次数: 0
An Overview of Automatic Speaker Recognition in Adverse Acoustic Environment 不利声环境下说话人自动识别技术综述
Maroš Jakubec, Eva Lieskovská, R. Jarina
In the last 50 years, the task of automatic speaker recognition has undergone intense development and is still a popular topic. New ways are also being sought to implement speaker recognition tools in order to improve the educational process. These include support systems and services, such as recommendation and personalization-based content delivery, personalized speech assistant for human-computer interaction, or improved speech recognition systems based on speaker adaptation. Applications in the real environment stress upon technological issues such as dealing with acoustical environment variability, background noise, simultaneous speech or speaker's behaviour. The article provides a review of the state-of-the-art techniques for automatic speaker recognition with focus on its deployment in real and adverse acoustic conditions.
在过去的50年里,自动语音识别的任务得到了激烈的发展,仍然是一个热门的话题。为了改进教育过程,也正在寻求新的方法来实施说话人识别工具。这些包括支持系统和服务,例如基于推荐和个性化的内容交付,用于人机交互的个性化语音助手,或基于说话人适应的改进语音识别系统。在真实环境中的应用强调技术问题,如处理声学环境的变化、背景噪声、同时讲话或说话人的行为。本文综述了自动说话人识别的最新技术,重点介绍了其在真实和不利声学条件下的应用。
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引用次数: 4
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2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)
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