2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)最新文献_第6页

Teaching Course on Algorithms and Data Structures during the Coronavirus Pandemic 新冠肺炎疫情期间算法与数据结构教学课程

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379156

Michal Varga, M. Kvassay, Marek Kvet

{"title":"Teaching Course on Algorithms and Data Structures during the Coronavirus Pandemic","authors":"Michal Varga, M. Kvassay, Marek Kvet","doi":"10.1109/ICETA51985.2020.9379156","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379156","url":null,"abstract":"At the beginning of spring 2020, the life in Slovakia and in other European countries has slowed down due to coronavirus disease 2019 caused by SARS-CoV-2. Slovakia and many other countries have tried to stop or slow down the spread of the coronavirus by minimizing face-to-face interactions between people. This has resulted in reduction of public transport, closing churches, shops, restaurants, and a lot of other services, including education. During the second half of March 2020, most education institutions, including universities, were closed to the public. Students and teachers could not visit them, and the process of education had to move from a classical physical space to a virtual space. Traditional face-to-face education supported by online learning had to be replaced by distance learning very quickly. However, most of the education institutions in Slovakia were not be prepared for this since distance learning had not been actively used by them before. Also universities, which provide education that requires much more self-study than in case of primary and secondary schools, challenged to problems how the distance learning should be realized in such a short term. In this paper, we present how some of the challenges and issues related to fast transformation of face-to-face education to education based on distance learning were solved by us within a course on algorithms and data structures taught at the Faculty of Management Science and Informatics of University of Zilina. Results presented in the paper indicate that a course requiring active participation of a student in the learning process by solving real world problems can be taught effectively using distance learning and the quality of education and knowledge grasped by students do not suffer from absence of face-to-face lectures and practical classes.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132424446","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

Vulkan in C# for Multi-Platform Real- Time Graphics Vulkan在c#中用于多平台实时图形

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379169

Dávid Szabó, Z. Illés

引用次数: 1

Analysis of Network Traffic in CLOUD Environment 云环境下的网络流量分析

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379153

M. Hasin, B. Madoš, J. Palša, Alla Janitor

引用次数: 0

Editor of the Monte Carlo Method for Special Purpose 编辑蒙特卡罗方法的特殊用途

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379210

Veronika Stoffová, R. Horváth

{"title":"Editor of the Monte Carlo Method for Special Purpose","authors":"Veronika Stoffová, R. Horváth","doi":"10.1109/ICETA51985.2020.9379210","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379210","url":null,"abstract":"The contribution describes an interactive computer implementation of the Monte Carlo method for particular purposes - to diagnose the foot condition according to the footprint of a person, to recognise the flat foot. Monte Carlo method, with a combination of computer graphics and numerical mathematics, allows us to calculate an unknown area where a direct analytical solution does not exist, or we do not know it. It is widely used, for example, in quickly finding approximate results of various calculations, such as calculating a definite integral, determining the probabilities of events in individual events, empirically determining the value, cost estimates in certain situations, and so on. It is an empirical-numerical method based on the use of values of random variables and probability theory. Our goal was to implement a general-purpose interactive software that will allow by the Monte Carlo method to determine the content of any irregular area in the form of a digital image. The presented software is implemented in Java using the programming framework GRobot. The graphic user interface is characteristic of this framework and is suitable for this type of applications. The Monte Carlo method forms a thematic unit of the subject of modelling and simulation at universities. It is often also the topic of students' semester, competition, and final theses. The beginnings of the editor described here also goes back to the semester, later diploma thesis of a student of computer science teacher programme at the Faculty of Education of the Trnava University in Trnava. The mentioned projects were developed under the guidance and significant help of the authors of this article.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134439045","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

Energy Harvesting for Wireless Embedded Systems 无线嵌入式系统的能量收集

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379270

V. Kunštár, T. Krajcovic

引用次数: 0

Web Application for Graph Visualization Purposes 用于图形可视化目的的Web应用程序

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379200

A. Dudáš, J. Janky, J. Škrinárová

引用次数: 1

Annotated dataset for the fake news classification in Slovak language 斯洛伐克语假新闻分类的标注数据集

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379254

M. Sarnovský, V. Maslej-Krešňáková, Nikola Hrabovska

引用次数: 4

PCA Tail as the Anomaly Indicator PCA Tail作为异常指标

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379267

O. Škvarek, M. Klimo, Jaroslav Kopčan

{"title":"PCA Tail as the Anomaly Indicator","authors":"O. Škvarek, M. Klimo, Jaroslav Kopčan","doi":"10.1109/ICETA51985.2020.9379267","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379267","url":null,"abstract":"Nowadays, tools based on machine learning becomes an integral part of education. Propper application of these tools brings benefits, but misuse can be dangerous. The pattern recognition system always indicates the class most similar to the submitted pattern based on the features extracted from the training set. Designers optimise recognisers for specific training set classes. Still, users may not be familiar with its preparation methodology, and thus, they may apply the recognition system to samples incompatible to the training set (outliers, novelties, anomalies). This paper analyses a tail remaining after linear principal component analysis as an anomaly indicator. A nonlinear approach based on generative adversarial networks (GAN) is also presented. In addition to the result of the recognition, the user also gets a level of its credibility categorised into three classes: accept, do not decide, reject. For example, Fashion-MNIST queries were submitted to the recogniser trained on the MNIST database. The proposed linear misuse detector refused all of them; the neural network-based detector failed in 4.81 % of queries. For a more detailed analysis, MNIST samples corrupted by Gaussian noise were admitted presented to the misuse detector trained on the noiseless MNIST dataset. The experiments revealed a sharp border between acceptance and non-acceptance (no decision or rejection) decisions.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115365120","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

Wrist Rehabilitation in Carpal Tunnel Syndrome by Gaming using EMG Controller 肌电控制游戏对腕管综合征腕关节康复的影响

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379203

P. Lukács, E. Pietriková

引用次数: 1

Colors Perception in Object Detectors 物体检测器中的颜色感知

2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2020-11-12 DOI: 10.1109/ICETA51985.2020.9379256

L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut

引用次数: 0