Proceedings of the 22nd International Conference on Computer Systems and Technologies最新文献_第3页

Automatic analysis of ECG signals based on their fractal and multifractal properties 基于分形和多重分形特性的心电信号自动分析

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472421

Evgeniya Gospodinova, Penio Lebamovski, Mitko Gospodinov

{"title":"Automatic analysis of ECG signals based on their fractal and multifractal properties","authors":"Evgeniya Gospodinova, Penio Lebamovski, Mitko Gospodinov","doi":"10.1145/3472410.3472421","DOIUrl":"https://doi.org/10.1145/3472410.3472421","url":null,"abstract":"Automatic analysis of electrocardiographic (ECG) signals, including the heart rate variability (HRV), makes it possible to assess the health status of patients, by reducing the likelihood of human error and providing an optimal and relatively accurate result. HRV is an important information indicator for diagnosing and predicting cardiovascular disease, which is based on measuring the intervals between heartbeats (known as RR-time intervals) derived from ECG signals. HRV has been used for research in various scientific fields, including information technology where it is used to create software products for automatic analysis of ECG signals in order to gain additional knowledge about the behavior of RR fluctuations in normal and disease states. ECG signals are non-stationary and one of the most suitable methods for analysis are the fractal methods. This article presents the results of the study of the fractal and multifractal properties of real ECG signals, combined into two groups: ECG signals of healthy subjects as well as patients with cardiovascular disease (arrhythmia), using the methods: Rescaled range (R/S) analysis and Multifractal Detrended Fluctuation Analysis (MFDFA). The obtained values of the studied parameters are used to distinguish healthy subjects from sick ones, by applying statistical analysis. The statistical analysis is performed by applying a t-test to determine the statistical significance of the studied ECG signals and Receiver Operating Characteristic (ROC) analysis to assess the quality of the selected methods. The obtained results show that the fractal methods used are suitable for analysis of the dynamics of RR intervals and for distinguishing the healthy subjects from those with pathological diseases.","PeriodicalId":115575,"journal":{"name":"Proceedings of the 22nd International Conference on Computer Systems and Technologies","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129368168","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: 9

High-Level Machine Learning Framework for Sports Events Ticket Sales Prediction 体育赛事门票销售预测的高级机器学习框架

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472426

Marin Fotache, Irina-Cristina Cojocariu, A. Bertea

{"title":"High-Level Machine Learning Framework for Sports Events Ticket Sales Prediction","authors":"Marin Fotache, Irina-Cristina Cojocariu, A. Bertea","doi":"10.1145/3472410.3472426","DOIUrl":"https://doi.org/10.1145/3472410.3472426","url":null,"abstract":"As all the other live events, sports were particularly affected by the covid-19 pandemic. Nevertheless, with the vaccination campaigns and the expected mass immunization chances are that the social life might soon come back to that was normal before 2020. This paper presents a high-level framework for predicting match ticket sales for a football/soccer club activating in a national championship. Written in R and available as a collection of scripts in a GitHub repository, the framework relies heavily on two R ecosystems of packages for data processing and modeling, tidyverse and tidymodels. For illustration, the framework was applied on a data set provided by a struggling team in Romanian first football league. Predictors relate to expected weather conditions at the start of the game, match day of the week and the starting hour, the phase of the season, and also the team's most recent performances relative to the current match. Despite the dataset limits, results of exploratory data analysis and predictive models are encouraging not only in estimating the match ticket sales, but also in identifying the most important variables associated with ticket sales variability.","PeriodicalId":115575,"journal":{"name":"Proceedings of the 22nd International Conference on Computer Systems and Technologies","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130909817","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

Technical cheating prevention in location-based games 定位游戏的技术作弊预防

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472449

Samuli Laato, Sampsa Rauti, Lauri Koivunen, J. Smed

{"title":"Technical cheating prevention in location-based games","authors":"Samuli Laato, Sampsa Rauti, Lauri Koivunen, J. Smed","doi":"10.1145/3472410.3472449","DOIUrl":"https://doi.org/10.1145/3472410.3472449","url":null,"abstract":"Online multiplayer game developers have plenty of motivation to prevent technical cheating in their games. In the case of location-based games (LBGs), in addition to the usual anti-cheat measures, developers need to be able to verify players’ location sensor data. This is a challenge, as mobile devices’ sensor data is easy to manipulate, and its verification goes beyond the permissions granted to individual applications such as LBGs. In this work we focus on the most popular LBG, Pokémon GO, and investigate via a technical analysis and gray literature search what countermeasures the game has implemented to prevent technical cheating. We obtain a large diverse set of data which we synthesize using the Gioia method into three main clusters: (1) preemptive measures; (2) ad hoc analysis; and (3) player communication. Our work demonstrates that a wide range of technical tools, both self-developed and 3rd party provided, are used to enhance the multi-layered cheating prevention of LBGs. Our findings can be considered an exemplar look into the industry leaders’ solutions to technical cheating issues that LBGs face.","PeriodicalId":115575,"journal":{"name":"Proceedings of the 22nd International Conference on Computer Systems and Technologies","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128720871","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

Project-Based Learning Approach Applied in the Course “Digital Electronics” for Studying the Topic “Binary Multipliers” 基于项目的学习方法在“数字电子学”课程“二进制乘法器”主题研究中的应用

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472446

A. Borodzhieva, Ivanka D. Tsvetkova, S. Zaharieva, Dimitar Dimitrov, V. Mutkov

引用次数: 2

Improvement of the irrigation system for orchids 兰花灌溉系统的改进

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472436

Krum Videnov, V. Stoykova, M. Vasilev, Z. Zlatev, Mariya Georgieva-Nikolova, Petya Yordanova

引用次数: 0

Text Mining Approach for Identifying Research Trends 识别研究趋势的文本挖掘方法

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472433

S. Sulova

引用次数: 0

A Fault-Tolerant Real-Time System with Adjustable Reliability 可靠性可调的容错实时系统

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472415

Edita Djambazova

引用次数: 1

GasHolesJ- a software tool for measurement of gas holes in cheese GasHolesJ-一个软件工具，用于测量奶酪中的气体孔

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472424

A. Danev, A. Bosakova-Ardenska, P. Panayotov, P. Boyanova

引用次数: 0

Attitudes of primary and secondary students towards online lessons during Covid-19 Covid-19期间中小学生对在线课程的态度

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472435

Stefan Stajić, M. Ivanović

引用次数: 1

AHP enlargement in traditional Entropy-TOPSIS approach for selecting desktop personal computers for distance learning: Decomposition of evaluation criteria in blocks with AHP for better consideration of users’ needs in the MCDM process on the example of the Entropy-TOPSIS approach 选择远程学习台式个人计算机的传统熵- topsis方法中的AHP扩展:以熵- topsis方法为例，用AHP将评价标准分解为块，以更好地考虑MCDM过程中用户的需求

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472431

I. Petrov

{"title":"AHP enlargement in traditional Entropy-TOPSIS approach for selecting desktop personal computers for distance learning: Decomposition of evaluation criteria in blocks with AHP for better consideration of users’ needs in the MCDM process on the example of the Entropy-TOPSIS approach","authors":"I. Petrov","doi":"10.1145/3472410.3472431","DOIUrl":"https://doi.org/10.1145/3472410.3472431","url":null,"abstract":"Distance learning became more popular in recent years and its effectiveness depends on the reliability of complex information systems. Under conditions of COVID-19 and the economic crisis, a larger number of users have to implement new working point(s) requiring unplanned investment efforts. Schools, universities, and households are interested in products and components that are adequate to the specifics of the education and can be purchased, maintained, and operated at minimum costs. In this context, the selections of personal computers (PCs) have to take into account various technical parameters and economic factors. Although Multi-Criteria Decision Analysis (MCDA) uses different approaches for supporting decision-makers (DM), there are still many areas for possible improvements. One of them, the enlargement of the traditional “Entropy-TOPSIS” approach with the AHP method provides a more structured, transparent, and objective definition of weights for evaluation criteria in many areas.","PeriodicalId":115575,"journal":{"name":"Proceedings of the 22nd International Conference on Computer Systems and Technologies","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126636101","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: 4