Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379215
J. Litvik, I. Dolnák, J. Dubovan
The continually increasing of transmission capacity demands are not only matter of a core and metropolitan optical networks but nowadays also local access networks too. Although the transmission rates of first passive optical networks were 622 Mbit/s the current technologies support more than 10 Gbit/s. The rapid development in the last decade opens problem with utilizing of already installed infrastructure and coexistence older standards with new one. The modulation formats like differential phase shift keying and differential quadrature phase shift keying appear to be potential for increasing performance of nowadays used gigabit passive optical networks and next-generation passive optical networks. The simulations show improvement of bit error rate estimation approximately 2 dB.
{"title":"Performance of High Order Modulation Formats in Coexistence of Gigabit (GPON) and Next-Generation Passive Optical Network (XG-PON)","authors":"J. Litvik, I. Dolnák, J. Dubovan","doi":"10.1109/ICETA51985.2020.9379215","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379215","url":null,"abstract":"The continually increasing of transmission capacity demands are not only matter of a core and metropolitan optical networks but nowadays also local access networks too. Although the transmission rates of first passive optical networks were 622 Mbit/s the current technologies support more than 10 Gbit/s. The rapid development in the last decade opens problem with utilizing of already installed infrastructure and coexistence older standards with new one. The modulation formats like differential phase shift keying and differential quadrature phase shift keying appear to be potential for increasing performance of nowadays used gigabit passive optical networks and next-generation passive optical networks. The simulations show improvement of bit error rate estimation approximately 2 dB.","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":"123315587","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379273
A. Kanáliková
This paper deals with the analysis of sensor data in the network of sensors. Data analysis in the sensor network (WSN) has its specifics and selected suitable methods are used for data analysis. The introductory sections provide survey of researches that deal analysis and data mining the data of sensors networks. The second part of the article deals with the analysis of data from the sensor network in the campus of the University of Zilina. The sensor network, its implementation, applications and analyzes were implemented within the framework of student projects and teacher research. The article describes a specific implementation of data analysis from a Bluetooth signal sensor. Basic statistical, exploratory data analysis and localization analysis through the simple clustering methods inspired create the draft to expand the WSN network with additional sensors and create mainly of a new data analysis system. In addition to basic data analysis, the new system will use the machine learning methods to locate mobile objects around the University of Zilina.
{"title":"Data analysis in WSN and the draft of system for data analysis","authors":"A. Kanáliková","doi":"10.1109/ICETA51985.2020.9379273","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379273","url":null,"abstract":"This paper deals with the analysis of sensor data in the network of sensors. Data analysis in the sensor network (WSN) has its specifics and selected suitable methods are used for data analysis. The introductory sections provide survey of researches that deal analysis and data mining the data of sensors networks. The second part of the article deals with the analysis of data from the sensor network in the campus of the University of Zilina. The sensor network, its implementation, applications and analyzes were implemented within the framework of student projects and teacher research. The article describes a specific implementation of data analysis from a Bluetooth signal sensor. Basic statistical, exploratory data analysis and localization analysis through the simple clustering methods inspired create the draft to expand the WSN network with additional sensors and create mainly of a new data analysis system. In addition to basic data analysis, the new system will use the machine learning methods to locate mobile objects around the University of Zilina.","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":"121595765","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379266
J. Hanč, M. Hančová, V. Jurková, D. Sveda
We present our ideas how to apply modern data science technology and methodology to effectively prepare and statistically analyze large educational datasets which in our case map inquiry skills and computational thinking developed by students in primary and secondary schools at the Slovak national scale, within the project “IT Academy - Education for the 21st Century”. Combining the top two open-source data science tools, Python (within Jupyter notebooks) and R (within R studio software), we illustrate some of results from data preprocessing (cleaning, wrangling) for the diagnostic primary-school test of inquiry skills where Python tools (e.g. Pandas library) became more advantageous. As for the subsequent intensive statistical analysis, R environment was more suitable. We demonstrate summary results of the statistical analysis of the computer thinking diagnostic test for primary and secondary schools, finally cross-checked in SPSS software. Due to the current COVID-19 situation, we are still collecting data from ITA project impacts for which we finally show how we plan to implement further methods for data collecting, analysis and implementation in collaboration with our colleagues - education researchers.
{"title":"Data science tools in the analysis of developing inquiry skills and computational thinking within the “IT Academy” Project","authors":"J. Hanč, M. Hančová, V. Jurková, D. Sveda","doi":"10.1109/ICETA51985.2020.9379266","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379266","url":null,"abstract":"We present our ideas how to apply modern data science technology and methodology to effectively prepare and statistically analyze large educational datasets which in our case map inquiry skills and computational thinking developed by students in primary and secondary schools at the Slovak national scale, within the project “IT Academy - Education for the 21st Century”. Combining the top two open-source data science tools, Python (within Jupyter notebooks) and R (within R studio software), we illustrate some of results from data preprocessing (cleaning, wrangling) for the diagnostic primary-school test of inquiry skills where Python tools (e.g. Pandas library) became more advantageous. As for the subsequent intensive statistical analysis, R environment was more suitable. We demonstrate summary results of the statistical analysis of the computer thinking diagnostic test for primary and secondary schools, finally cross-checked in SPSS software. Due to the current COVID-19 situation, we are still collecting data from ITA project impacts for which we finally show how we plan to implement further methods for data collecting, analysis and implementation in collaboration with our colleagues - education researchers.","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":"126049915","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379163
Roman Ceresnák, K. Matiaško
The systems helping us nowadays in some sectors, including health service, transportation, medicine, and many others, have one common thing: data. The data in the mentioned sectors help with the support of decision making, to manage systems, and to prevent dangerous situations. To the increasing amount of the data, a growing demand was related. In the current modern era, the data has become a commodity, and the data are traded like goods in many cases The systems, working with the massive amount of the data, do not only with values already in the system but also with the system's data in real-time. So, they influence many evaluation systems, respectively, they modify various statistics. The real data play a crucial part during transformation processes and the mutual affecting of the data. This article will create a synchronization barrier that will be used to influence the data during the data transformation from a relational database to a nonrelational database. The purpose of this barrier is to reduce the time needed for a data change from source database to target database and, by this, to reduce the number of operations that would be required to do after finishing the process just with incoming values.
{"title":"Synchronization Barrier in Database Migration processes","authors":"Roman Ceresnák, K. Matiaško","doi":"10.1109/ICETA51985.2020.9379163","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379163","url":null,"abstract":"The systems helping us nowadays in some sectors, including health service, transportation, medicine, and many others, have one common thing: data. The data in the mentioned sectors help with the support of decision making, to manage systems, and to prevent dangerous situations. To the increasing amount of the data, a growing demand was related. In the current modern era, the data has become a commodity, and the data are traded like goods in many cases The systems, working with the massive amount of the data, do not only with values already in the system but also with the system's data in real-time. So, they influence many evaluation systems, respectively, they modify various statistics. The real data play a crucial part during transformation processes and the mutual affecting of the data. This article will create a synchronization barrier that will be used to influence the data during the data transformation from a relational database to a nonrelational database. The purpose of this barrier is to reduce the time needed for a data change from source database to target database and, by this, to reduce the number of operations that would be required to do after finishing the process just with incoming values.","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":"129455304","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379261
Jingyi Xu
There are many “poor cooperation” problems in the process of design thinking collaboration of college students' teams, and usually a lot of process data such as student interactions and specific discussion processes are generated. The limitations of offline classroom scenes make it impossible for teachers to carefully guide all student groups on the one hand, and to collect process data on the other hand. This essay attempts to develop and apply an online teaching tool of design thinking collaboration based on the UCD methods. By collecting data and preliminary analysis, it provides teachers with new ideas for the process evaluation (such as scoring, problem discovery, feedback, etc.) of students' design thinking collaboration.
{"title":"Development and application of the teaching tool of design thinking collaboration based on UCD methods","authors":"Jingyi Xu","doi":"10.1109/ICETA51985.2020.9379261","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379261","url":null,"abstract":"There are many “poor cooperation” problems in the process of design thinking collaboration of college students' teams, and usually a lot of process data such as student interactions and specific discussion processes are generated. The limitations of offline classroom scenes make it impossible for teachers to carefully guide all student groups on the one hand, and to collect process data on the other hand. This essay attempts to develop and apply an online teaching tool of design thinking collaboration based on the UCD methods. By collecting data and preliminary analysis, it provides teachers with new ideas for the process evaluation (such as scoring, problem discovery, feedback, etc.) of students' design thinking collaboration.","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":"123788066","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379181
H. H. Chovanová, R. Husovič, D. Babčanová, H. Makyšová
We present a qualitative study in the form of a literature review concentrated on agile project management methods for the management of product development. The demand for managing projects with agile methods is increasing, especially in the sector of information technology. The accurate method and approach to project management are crucial; however, proper project management can lower the stress level and increase the constant efficiency to keep it distributed during the project continuation. Therefore, this article is focused on a comprehensive evaluation of agile methods, adjusted on its elementary description via a literature review. In the state of the literature review, we describe the main identification signs of each method, followed by its application.
{"title":"Agile Project Management ― What is It?","authors":"H. H. Chovanová, R. Husovič, D. Babčanová, H. Makyšová","doi":"10.1109/ICETA51985.2020.9379181","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379181","url":null,"abstract":"We present a qualitative study in the form of a literature review concentrated on agile project management methods for the management of product development. The demand for managing projects with agile methods is increasing, especially in the sector of information technology. The accurate method and approach to project management are crucial; however, proper project management can lower the stress level and increase the constant efficiency to keep it distributed during the project continuation. Therefore, this article is focused on a comprehensive evaluation of agile methods, adjusted on its elementary description via a literature review. In the state of the literature review, we describe the main identification signs of each method, followed by its application.","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":"116459321","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379238
P. Voštinár, M. Melichcrčik, M. Vagac
The State Education Program does not prescribe use of any particular programming environment in Slovak schools. It is up to each school or teacher which programming language or environment he/she decides to choose. Nowadays the most preferred programming languages at Slovak secondary schools are Python and Lazarus (some schools also use C/C++ or Java). However, these programming languages do not bring enough motivated students. Our Department of Computer Science at FNS UMB offers motivational workshops for secondary schools in region of Banská Bystrica. We would like to motivate students to proceed with study of Computer science in the future, because Slovakia reports a lack of IT professionals (but problem is worldwide). Main idea of these workshops is to show practical usage of programming for the students to increase the interest of IT with respect to interdisciplinary applications to the STEM subjects. In this article, we present our experiences with workshops in three different secondary schools with programming microcontroller Arduino.
{"title":"Teaching programming through the Arduino workshops at secondary schools","authors":"P. Voštinár, M. Melichcrčik, M. Vagac","doi":"10.1109/ICETA51985.2020.9379238","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379238","url":null,"abstract":"The State Education Program does not prescribe use of any particular programming environment in Slovak schools. It is up to each school or teacher which programming language or environment he/she decides to choose. Nowadays the most preferred programming languages at Slovak secondary schools are Python and Lazarus (some schools also use C/C++ or Java). However, these programming languages do not bring enough motivated students. Our Department of Computer Science at FNS UMB offers motivational workshops for secondary schools in region of Banská Bystrica. We would like to motivate students to proceed with study of Computer science in the future, because Slovakia reports a lack of IT professionals (but problem is worldwide). Main idea of these workshops is to show practical usage of programming for the students to increase the interest of IT with respect to interdisciplinary applications to the STEM subjects. In this article, we present our experiences with workshops in three different secondary schools with programming microcontroller Arduino.","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":"126649513","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379220
Ivan Skula, J. Bohacik, M. Zábovský
Each person faces the risk of falling to fraud not only as an individual but also as a customer of bank, insurance company, mobile operator, government services and many others. To tackle the fraud risk holistically it is not enough to implement fraud-risk related processes into daily operations and deploy fraud detection and prevention tools and systems. The weakest point is usually the person - employee or customer, especially the uneducated one. Therefore, it is essential complement the above measures with awareness and education. In this paper we reviewed different channels available for fraud prevention awareness campaigns and their characteristics (reach, relative cost, age group and supported message format) which impact their applicability. We also analyzed historical occurrences of fraud related messaging as well as fraud awareness posts distributed through one of the “youngest” channel - Twitter (social network) by the banks in the UAE. We analyzed the tweets of selected banks in UAE to observe, how they use this channel for communication with their customers and more specifically - how they use the channel for the purpose of fraud awareness.
{"title":"Use of Different Channels for User Awareness and Education Related to Fraud and Phishing in a Banking Institution","authors":"Ivan Skula, J. Bohacik, M. Zábovský","doi":"10.1109/ICETA51985.2020.9379220","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379220","url":null,"abstract":"Each person faces the risk of falling to fraud not only as an individual but also as a customer of bank, insurance company, mobile operator, government services and many others. To tackle the fraud risk holistically it is not enough to implement fraud-risk related processes into daily operations and deploy fraud detection and prevention tools and systems. The weakest point is usually the person - employee or customer, especially the uneducated one. Therefore, it is essential complement the above measures with awareness and education. In this paper we reviewed different channels available for fraud prevention awareness campaigns and their characteristics (reach, relative cost, age group and supported message format) which impact their applicability. We also analyzed historical occurrences of fraud related messaging as well as fraud awareness posts distributed through one of the “youngest” channel - Twitter (social network) by the banks in the UAE. We analyzed the tweets of selected banks in UAE to observe, how they use this channel for communication with their customers and more specifically - how they use the channel for the purpose of fraud awareness.","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":"128204265","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379165
B. Sobota, M. Guzan, Š. Korečko, M. Hudák, Z. Racz, M. Sivý
The paper describes an alternative use of some smartphone sensors to determine the characteristics and driving style. Two applications have been designed and built. These applications enable the collection of data from the sensors of smartphones while driving and the evaluation of these measurements aimed at detecting the driver's driving style. The test measurements of various types of vehicle starting were performed and evaluated using the proposed applications. Finally, the way of using this solution after certain modifications for disabled people on wheelchairs is presented.
{"title":"Measuring the Driver's Driving Style","authors":"B. Sobota, M. Guzan, Š. Korečko, M. Hudák, Z. Racz, M. Sivý","doi":"10.1109/ICETA51985.2020.9379165","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379165","url":null,"abstract":"The paper describes an alternative use of some smartphone sensors to determine the characteristics and driving style. Two applications have been designed and built. These applications enable the collection of data from the sensors of smartphones while driving and the evaluation of these measurements aimed at detecting the driver's driving style. The test measurements of various types of vehicle starting were performed and evaluated using the proposed applications. Finally, the way of using this solution after certain modifications for disabled people on wheelchairs is presented.","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":"134305512","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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379206
Emil Krsák, Tomas Kello
The aim of this paper is to improve learning stage of machine learning. Input data are the main engine and first step in learning. Every small quality defect in the beginning can cause huge difference in result. There are two possible strategies to correct or filter. To correct data need to have some more knowledge about relations. For filtering we can calculate threshold and eliminate anomalies. It reduce amount of input data, what is also unwanted phenomenon. So we will mainly focus on correcting them and filling missing features in records. We expect more effective learning step which should result in better final (predicting) step of machine learning.
{"title":"Improving learning step in artificial intelligence with categorization","authors":"Emil Krsák, Tomas Kello","doi":"10.1109/ICETA51985.2020.9379206","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379206","url":null,"abstract":"The aim of this paper is to improve learning stage of machine learning. Input data are the main engine and first step in learning. Every small quality defect in the beginning can cause huge difference in result. There are two possible strategies to correct or filter. To correct data need to have some more knowledge about relations. For filtering we can calculate threshold and eliminate anomalies. It reduce amount of input data, what is also unwanted phenomenon. So we will mainly focus on correcting them and filling missing features in records. We expect more effective learning step which should result in better final (predicting) step of machine learning.","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":"131733913","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}
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