{"title":"Editor of the Monte Carlo Method for Special Purpose","authors":"Veronika Stoffová, R. Horváth","doi":"10.1109/ICETA51985.2020.9379210","DOIUrl":null,"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":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA51985.2020.9379210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.