Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379156
Michal Varga, M. Kvassay, Marek Kvet
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.
{"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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379169
Dávid Szabó, Z. Illés
Nowadays almost every computer device contains a graphics processor. Large desktop PCs have dedicated graphics cards, laptops and even mobiles have integrated graphics units inside the CPU. To use and program these graphics units we need special libraries, the Graphics APIs. Usually these APIs are made in C or C++ to ensure low-level capabilities and high performance. In the meantime, the .NET supported C# language evolved greatly in the past years. C# is now a fast, powerful and multi-platform language. [1] The main goal of our research is the merging of these two worlds: We're examining the possibilities of the real-time graphical programming in .NET C# using the modern Vulkan graphics API. This paper presents methods of creating multi-platform real-time graphical libraries using Vulkan in .NET C#. We provide solutions for rendering onto common .NET UI frameworks with Vulkan and techniques for dealing with the low-level memory management required by the API. Furthermore, we determine the functional and performance differences between multiple runtimes and compilers.
{"title":"Vulkan in C# for Multi-Platform Real- Time Graphics","authors":"Dávid Szabó, Z. Illés","doi":"10.1109/ICETA51985.2020.9379169","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379169","url":null,"abstract":"Nowadays almost every computer device contains a graphics processor. Large desktop PCs have dedicated graphics cards, laptops and even mobiles have integrated graphics units inside the CPU. To use and program these graphics units we need special libraries, the Graphics APIs. Usually these APIs are made in C or C++ to ensure low-level capabilities and high performance. In the meantime, the .NET supported C# language evolved greatly in the past years. C# is now a fast, powerful and multi-platform language. [1] The main goal of our research is the merging of these two worlds: We're examining the possibilities of the real-time graphical programming in .NET C# using the modern Vulkan graphics API. This paper presents methods of creating multi-platform real-time graphical libraries using Vulkan in .NET C#. We provide solutions for rendering onto common .NET UI frameworks with Vulkan and techniques for dealing with the low-level memory management required by the API. Furthermore, we determine the functional and performance differences between multiple runtimes and compilers.","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":"132080978","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/ICETA51985.2020.9379153
M. Hasin, B. Madoš, J. Palša, Alla Janitor
The article focuses on the research and design of the infrastructure used for data collection from the network traffic of the CLOUD platform. The aim was to identify the structure of network traffic that occurs in the CLOUD platform. From the mentioned data it is possible to evaluate network security of the protocols used in communication and subsequently compare the obtained data with the security standards introduced in the experimental platform. When implementing the measurement, the NetFlow protocol was used, enabling data collection directly on virtual machines located in the CLOUD platform. The measured data was then stored in the non-relational database Elasticsearch. The selected database is intended for the analysis of a large amount of data. The most important part is the creation of an interactive web environment in order to interpret the measured data in a user-friendly form. The next step in the processing of measured data involves the application of artificial intelligence methods to evaluate and predict the existence of potential security problems.
{"title":"Analysis of Network Traffic in CLOUD Environment","authors":"M. Hasin, B. Madoš, J. Palša, Alla Janitor","doi":"10.1109/ICETA51985.2020.9379153","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379153","url":null,"abstract":"The article focuses on the research and design of the infrastructure used for data collection from the network traffic of the CLOUD platform. The aim was to identify the structure of network traffic that occurs in the CLOUD platform. From the mentioned data it is possible to evaluate network security of the protocols used in communication and subsequently compare the obtained data with the security standards introduced in the experimental platform. When implementing the measurement, the NetFlow protocol was used, enabling data collection directly on virtual machines located in the CLOUD platform. The measured data was then stored in the non-relational database Elasticsearch. The selected database is intended for the analysis of a large amount of data. The most important part is the creation of an interactive web environment in order to interpret the measured data in a user-friendly form. The next step in the processing of measured data involves the application of artificial intelligence methods to evaluate and predict the existence of potential security problems.","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":"116333822","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/ICETA51985.2020.9379210
Veronika Stoffová, R. Horváth
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.
{"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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379270
V. Kunštár, T. Krajcovic
This paper discusses the selection of equipment for collecting energy from the environment. Different types of energy cell are compared from different perspectives, the performance and efficiency of the devices are analyzed. In general, we focus on the most well-known types of devices, such as photovoltaic panels. The reason for choosing these devices is their frequent use. We try to find the most suitable type of photoelectric panel for WESPEH.
{"title":"Energy Harvesting for Wireless Embedded Systems","authors":"V. Kunštár, T. Krajcovic","doi":"10.1109/ICETA51985.2020.9379270","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379270","url":null,"abstract":"This paper discusses the selection of equipment for collecting energy from the environment. Different types of energy cell are compared from different perspectives, the performance and efficiency of the devices are analyzed. In general, we focus on the most well-known types of devices, such as photovoltaic panels. The reason for choosing these devices is their frequent use. We try to find the most suitable type of photoelectric panel for WESPEH.","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":"133935196","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/ICETA51985.2020.9379200
A. Dudáš, J. Janky, J. Škrinárová
Graphs are one of several abstract topics presented in teaching of computer science at university. Graphs are part of various subjects such as optimization, compilers, networks, etc. Main objective of this paper is to present online application aimed at graph visualization. Implemented tool can be also used as a translator between various formats of graph description - adjacency matrix, graph6 format and diagram of graph. The greatest emphasis was placed on functionalities which are lacking in other online tools for similar purposes - mainly method of graphical representation of graph, possibility of various forms of input for graphical representation and possibility of multiple graphs on the input for simultaneous visualization of set of graphs. Presented application is first part of Moodle course project which is focused on graphs and parallel computing.
{"title":"Web Application for Graph Visualization Purposes","authors":"A. Dudáš, J. Janky, J. Škrinárová","doi":"10.1109/ICETA51985.2020.9379200","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379200","url":null,"abstract":"Graphs are one of several abstract topics presented in teaching of computer science at university. Graphs are part of various subjects such as optimization, compilers, networks, etc. Main objective of this paper is to present online application aimed at graph visualization. Implemented tool can be also used as a translator between various formats of graph description - adjacency matrix, graph6 format and diagram of graph. The greatest emphasis was placed on functionalities which are lacking in other online tools for similar purposes - mainly method of graphical representation of graph, possibility of various forms of input for graphical representation and possibility of multiple graphs on the input for simultaneous visualization of set of graphs. Presented application is first part of Moodle course project which is focused on graphs and parallel computing.","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":"134162557","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/ICETA51985.2020.9379254
M. Sarnovský, V. Maslej-Krešňáková, Nikola Hrabovska
Fake news detection currently presents an active field of research. Detection methods based on natural language processing and machine learning are being developed to automatically identify the possible misinformation contained within the news articles. To successfully train these models, annotated data are needed. In English language, multiple human-annotated datasets already are available and are being widely used in the research. The main objective of the work presented in this paper, was to create similar dataset consisting of articles in Slovak language. We collected the data from the various local news portals including reputable publishers as well as suspicious conspiratory portals. To obtain the annotations, we used crowdsourcing approach. Annotated dataset was used in preliminary experiments, in which neural network classifier was trained and evaluated.
{"title":"Annotated dataset for the fake news classification in Slovak language","authors":"M. Sarnovský, V. Maslej-Krešňáková, Nikola Hrabovska","doi":"10.1109/ICETA51985.2020.9379254","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379254","url":null,"abstract":"Fake news detection currently presents an active field of research. Detection methods based on natural language processing and machine learning are being developed to automatically identify the possible misinformation contained within the news articles. To successfully train these models, annotated data are needed. In English language, multiple human-annotated datasets already are available and are being widely used in the research. The main objective of the work presented in this paper, was to create similar dataset consisting of articles in Slovak language. We collected the data from the various local news portals including reputable publishers as well as suspicious conspiratory portals. To obtain the annotations, we used crowdsourcing approach. Annotated dataset was used in preliminary experiments, in which neural network classifier was trained and evaluated.","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":"116571102","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/ICETA51985.2020.9379267
O. Škvarek, M. Klimo, Jaroslav Kopčan
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.
{"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}
Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379203
P. Lukács, E. Pietriková
Technological progress brings many significant benefits to our lives, but also new obstacles that we must face. Increasingly widespread sedentary jobs and computer work contribute to various health problems, such as carpal tunnel syndrome. This disease can be relatively successfully treated or prevented through rehabilitation exercises. However, patients often find these exercises boring and they are not determined to perform them precisely. The aim of this paper is to develop a rehabilitation game application providing more entertaining form of exercise and motivate them to regular rehabilitation.
{"title":"Wrist Rehabilitation in Carpal Tunnel Syndrome by Gaming using EMG Controller","authors":"P. Lukács, E. Pietriková","doi":"10.1109/ICETA51985.2020.9379203","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379203","url":null,"abstract":"Technological progress brings many significant benefits to our lives, but also new obstacles that we must face. Increasingly widespread sedentary jobs and computer work contribute to various health problems, such as carpal tunnel syndrome. This disease can be relatively successfully treated or prevented through rehabilitation exercises. However, patients often find these exercises boring and they are not determined to perform them precisely. The aim of this paper is to develop a rehabilitation game application providing more entertaining form of exercise and motivate them to regular rehabilitation.","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":"131465093","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/ICETA51985.2020.9379256
L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut
Detecting objects in computer vision have become very popular these days, especially in self-driving vehicles and autonomous cars. We are proposing a method to enhance this experience by detecting colors, which could also lead in the color perception by robotic systems in the future. First, there are technologies used described in the first section of the paper and then the algorithm itself is introduced with several conducted experiments.
{"title":"Colors Perception in Object Detectors","authors":"L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut","doi":"10.1109/ICETA51985.2020.9379256","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379256","url":null,"abstract":"Detecting objects in computer vision have become very popular these days, especially in self-driving vehicles and autonomous cars. We are proposing a method to enhance this experience by detecting colors, which could also lead in the color perception by robotic systems in the future. First, there are technologies used described in the first section of the paper and then the algorithm itself is introduced with several conducted experiments.","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":"128624413","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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