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2020 10th International Conference on Advanced Computer Information Technologies (ACIT)最新文献

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Software for Automatic Estimating Security Settings of Social Media Accounts 软件自动估计安全设置的社交媒体帐户
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208879
R. Shevchuk, A. Melnyk, Oleh Opalko, Halyna Shevchuk
{"title":"Software for Automatic Estimating Security Settings of Social Media Accounts","authors":"R. Shevchuk, A. Melnyk, Oleh Opalko, Halyna Shevchuk","doi":"10.1109/ACIT49673.2020.9208879","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208879","url":null,"abstract":"Today, many users do not use the security settings provided by social media and are unaware of the risks that come with sharing too much personal information.In this research, security management on social media is considered. The paper discusses and investigates the awareness of security settings that impact social media users.The software for automatic estimating security settings of social media accounts is developed. The developed software allows estimate the security settings of Facebook and Instagram social media accounts and formulates recommendations for their improvement.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131852536","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: 14
A Case Study Validation of the Pair-estimation Technique in Effort Estimation of Mobile App Development Using Agile Processes 基于敏捷过程的移动应用开发工作量估算中对估算技术的案例研究验证
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208985
Abdullah R. Altaleb, Hussein Alhashimi, A. Gravell
{"title":"A Case Study Validation of the Pair-estimation Technique in Effort Estimation of Mobile App Development Using Agile Processes","authors":"Abdullah R. Altaleb, Hussein Alhashimi, A. Gravell","doi":"10.1109/ACIT49673.2020.9208985","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208985","url":null,"abstract":"In the software development process, effort estimation is essential and a critical phase for the development team in order to ensure that development tasks will be delivered within the planned time. This paper presents a confirmatory case study in an IT company, which examined its current estimation techniques and its process in the context of mobile app development in the Agile process. Moreover, the study provides, and has validated, a proposed estimation technique, namely Pair-estimation, in order to enhance the accuracy of the existing technique. This study, in addition, presents the effectiveness of estimation factors/predictors in supporting the development team to manage, estimate and create subtasks for their user stories.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131954747","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: 2
Information Technology for Recurrent Laryngeal Nerve Identification with Adaptive Adjustment of the Electrophysiological Method 基于电生理自适应调节的喉返神经识别信息技术
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9209012
M. Dyvak, A. Dyvak, D. Osadchuk, Volodymyr Tymets, V. Shidlovsky, Larysa Kovalska
{"title":"Information Technology for Recurrent Laryngeal Nerve Identification with Adaptive Adjustment of the Electrophysiological Method","authors":"M. Dyvak, A. Dyvak, D. Osadchuk, Volodymyr Tymets, V. Shidlovsky, Larysa Kovalska","doi":"10.1109/ACIT49673.2020.9209012","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9209012","url":null,"abstract":"Informational technology for recurrent laryngeal nerve (RLN) monitoring among the tissues of a surgical wound is represented in the paper. Unlike the existing technologies, it applies the adaptive adjustment of electrophysiological method for a patient. The results of electrophysiological experiments which prove the effectiveness of the suggested technology are demonstrated.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124636497","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
Fiscal Aspects of the Functioning of the Electronic Declaration System of Citizens’ Income and Property in Ukraine 乌克兰公民收入和财产电子申报系统运作的财政方面
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208844
A. Krysovatyi, V. Valihura, I. Hutsul, F. Tkachyk, V. Dmytriv
{"title":"Fiscal Aspects of the Functioning of the Electronic Declaration System of Citizens’ Income and Property in Ukraine","authors":"A. Krysovatyi, V. Valihura, I. Hutsul, F. Tkachyk, V. Dmytriv","doi":"10.1109/ACIT49673.2020.9208844","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208844","url":null,"abstract":"The article investigates the basic aspects of the application of electronic tax declaration of individuals’ incomes and properties in Ukraine. The users’ algorithm of work with the system of electronic declaration of government officials’ property status is considered. The basic indicators of taxation of citizens’ income are analyzed. On the basis of this the forecast of fiscal losses from income taxation in the form of salary is calculated and constructed. The necessity to use more effectively the functional of electronic declaration system in taxation of individuals’ income is proved. The directions of improvement of electronic declaration system work in the context of verification, by the controlling bodies, of taxes payments on income and property by citizens are offered.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115035279","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
Trust in the European Central Bank: Using Data Science and predictive Machine Learning Algorithms 对欧洲中央银行的信任:使用数据科学和预测机器学习算法
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208857
A. Skirka, Bogdan Adamyk, O. Adamyk, Mariana Valytska
{"title":"Trust in the European Central Bank: Using Data Science and predictive Machine Learning Algorithms","authors":"A. Skirka, Bogdan Adamyk, O. Adamyk, Mariana Valytska","doi":"10.1109/ACIT49673.2020.9208857","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208857","url":null,"abstract":"Purpose: This empirical scientific research project aims to apply data science and machine learning tools to determine the influence of different factors on the level of trust in the European Central Bank. This research based on the data from the European Commission’s Eurobarometer Survey 89. The paper also aims to represent some predictive analytics techniques to anticipate the level of confidence towards cental bank. Besides that, we build a couple of data visualizing plots, in order to show the main significant impact on the dependent variable. We created the ECB TrustMap Plot, correlation heatmap matrix and Alluvial diagram. Using this plots, we represented changes in network structure over people responses and decision making. Methodology: to calculate the index of trust in the central bank we used Logistic Regressioin, Decision Tree, Random Forrest and Neural Network models. Verify the output and results by using the VIF of the Logistic Model, Cross-validation, Confusion matrix, ROC-curves and accuracy estimations. Main Findings: trust in one-single currency, inflation problems, expectations about the future of EU, indicator of happiness and other indicators has a significant impact on the the level of trust in the central bank.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115086003","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: 2
Fault Prediction of Wind Turbine Gearbox Based on SCADA Data and Machine Learning 基于SCADA数据和机器学习的风电齿轮箱故障预测
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208884
H. Rashid, E. Khalaji, Jawad Rasheed, C. Batunlu
{"title":"Fault Prediction of Wind Turbine Gearbox Based on SCADA Data and Machine Learning","authors":"H. Rashid, E. Khalaji, Jawad Rasheed, C. Batunlu","doi":"10.1109/ACIT49673.2020.9208884","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208884","url":null,"abstract":"As the demand for wind power continues to grow at an exponential rate, reducing operation and maintenance expenses and improving reliability has become pinnacle priorities in wind turbine maintenance strategies. Prediction of wind turbine failure earlier than they reach a catastrophic degree is essential to reduce the operation and maintenance cost because of unnecessary scheduled maintenance. In this study, a SCADA-data based condition monitoring system is proposed using machine learning techniques. We trained various machine learning models using our dataset, and then selected the best among those to predict the gearbox temperature. The bagging regression method accomplished the best accuracy with 99.7% R2 score, while restraining the mean square error to 0.35. The experimental results showed that our method anticipated 68 days ahead of turbine gearbox failure, and generated another alarm when fault turned intense. The time between alarms and actual failure is enough for the operator to fix the gearbox before it turns to a catastrophic event.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130651471","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
Current Digital Travel Guide of Peregrinus Silva Bohemica Project Peregrinus Silva Bohemica项目当前数字旅游指南
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208922
M. Vichrová, P. Hájek, M. Kepka, Laura Fiegler, Mariann Juha, W. Dorner, R. Fiala
{"title":"Current Digital Travel Guide of Peregrinus Silva Bohemica Project","authors":"M. Vichrová, P. Hájek, M. Kepka, Laura Fiegler, Mariann Juha, W. Dorner, R. Fiala","doi":"10.1109/ACIT49673.2020.9208922","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208922","url":null,"abstract":"Delivering a piece of proper and interesting information to tourists is always a challenge to deal with. It can be provided by many possible ways using traditional analogue materials (flyers, information table or paper maps) or using modern technologies such as web pages, mobile applications or an online multimedia tourist guide. One of online tourist guides is a travel guide created in Peregrinus Silva Bohemica project. This paper provides information about the final stage of such a guide from content and a technical point of view, to point out the complexity and usefulness of such a tool for tourists.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106266","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: 2
3D Mapping to Collect Volunteered Geographic Information 3D地图收集志愿者地理信息
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208958
Sebastian Wöllmann, Roland Zink, Melanie Piser
{"title":"3D Mapping to Collect Volunteered Geographic Information","authors":"Sebastian Wöllmann, Roland Zink, Melanie Piser","doi":"10.1109/ACIT49673.2020.9208958","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208958","url":null,"abstract":"This paper discusses the concept of crowdsourcing in combination with our new developed 3D viewer which is integrated in the technical infrastructure of PUBinPLAN, our digital participation platform. The voluntarily gathered information is collected on PUBinPLAN, where people can join and share their spatial knowledge on our 3D models of the city of Deggendorf and the Deggendorf Institute of Technology. Firstly, the technical details of the 3D viewer and the implementation into the PUBinPLAN website are explained and then, in a case study, the performance on different devices and in different browsers is analysed to ensure a smooth mapping experience for architectural approaches. This creates an added value to participatory regional and spatial planning processes.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132380371","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
Reduction of Server Load by Means of CMS Drupal 通过CMS Drupal减少服务器负载
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208874
Viktor Satsyk, Roman Grudetsky, O. Kuzmych, Nataliia Bahniuk, Liudmyla Hlynchuk, Yulia Melnychuk
{"title":"Reduction of Server Load by Means of CMS Drupal","authors":"Viktor Satsyk, Roman Grudetsky, O. Kuzmych, Nataliia Bahniuk, Liudmyla Hlynchuk, Yulia Melnychuk","doi":"10.1109/ACIT49673.2020.9208874","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208874","url":null,"abstract":"In this paper description and analysis of simple methods of reducing (neutralization) the server load, as well as methods of optimization of Drupal based on embedded and additionally installed modules is done. An optimization of Drupal configuration and service, server optimization is also proposed. Direct SQL queries and the Drupal Database API has been tested on real-developed XML-PHP interaction web-site. Descriptive and graphical test results are displayed on the webpages of the developed web-site.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114868589","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
SECTION 3: Artificial Intelligence and Machine Learning 第三部分:人工智能和机器学习
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/acit49673.2020.9208952
{"title":"SECTION 3: Artificial Intelligence and Machine Learning","authors":"","doi":"10.1109/acit49673.2020.9208952","DOIUrl":"https://doi.org/10.1109/acit49673.2020.9208952","url":null,"abstract":"","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128418237","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
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