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2022 10th International Scientific Conference on Computer Science (COMSCI)最新文献

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Artificial Intelligence in Content Moderation – Legal Challenges and EU Legal Framework 内容审核中的人工智能-法律挑战和欧盟法律框架
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912595
Ralitza Dimitrova
{"title":"Artificial Intelligence in Content Moderation – Legal Challenges and EU Legal Framework","authors":"Ralitza Dimitrova","doi":"10.1109/COMSCI55378.2022.9912595","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912595","url":null,"abstract":"The article is dedicated to the concerns and challenges that the use of AI in content moderation poses to law. In the first part the legal issues and challenges discussed in the literature, as well as the proposed solutions, are summarized. In the second part a brief analysis of the current legal framework of content moderation at EU level and in different Member States is offered. The proposal for new EU legislation is also presented focusing on the provisions concerning automated content moderation.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116971200","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
Purdue Model Implementation in the Shipping Control Systems 普渡模型在航运控制系统中的实现
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912594
B. Belev
{"title":"Purdue Model Implementation in the Shipping Control Systems","authors":"B. Belev","doi":"10.1109/COMSCI55378.2022.9912594","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912594","url":null,"abstract":"The fourth industrial revolution born autonomous ships and experts evaluate this process as great achievement of mankind and technologies. Implementation of the concept “Internet of Things” in the shipping helps the industry to find many solutions to increase the safety of navigation. The dark side of the fourth industrial revolution is the hackers’ attempts to compromise the world wide web and the users, as well. The shipping is not excluded of the processes in this field. In this article the idea of Purdue model implementation in enterprise cybersecurity concept is developed.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127180008","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
Collecting a Custom Database for Image Classification in Recommender Systems 在推荐系统中为图像分类收集自定义数据库
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912591
Maria Vlahova, Milena Lazarova
{"title":"Collecting a Custom Database for Image Classification in Recommender Systems","authors":"Maria Vlahova, Milena Lazarova","doi":"10.1109/COMSCI55378.2022.9912591","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912591","url":null,"abstract":"Nowadays machine learning and deep learning are widely used techniques for data analyses that require large amounts of labeled data. Moreover, with the migration from data as a service to data as a product the businesses are facing a complicated problem to collect the correct data from scratch that are suitable for data analyses and knowledge extraction using machine learning and deep learning-based approaches. The data collection and generation of custom databases is an active research topic aimed to overcome the major bottleneck for today’s business when machine learning and deep learning is to be applied for data analyses. In the paper a methodology for data collection is suggested that provide a structured approach for dataset collection allowing to overcome some of the challenges connected with the data collection activity. The suggested methodology is applied for collection of custom databases for solving an image classification problem in recommender systems.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124934335","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
Vendor Cybersecurity Risk Assessment in an Autonomous Mobility Ecosystem 自主移动生态系统中的供应商网络安全风险评估
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912588
Albena Tzoneva, G. Momcheva, B. Stoyanov
{"title":"Vendor Cybersecurity Risk Assessment in an Autonomous Mobility Ecosystem","authors":"Albena Tzoneva, G. Momcheva, B. Stoyanov","doi":"10.1109/COMSCI55378.2022.9912588","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912588","url":null,"abstract":"Vendor cybersecurity risk assessment is of critical importance to smart city infrastructure and sustainability of the autonomous mobility ecosystem. Lack of engagement in cybersecurity policies and process implementation by the tier companies providing hardware or services to OEMs within this ecosystem poses a significant risk to not only the individual companies but to the ecosystem overall. The proposed quantitative method of estimating cybersecurity risk allows vendors to have visibility to the financial risk associated with potential threats and to consequently allocate adequate resources to cybersecurity. It facilitates faster implementation of defense measures and provides a useful tool in the vendor selection process. The paper focuses on cybersecurity risk assessment as a critical part of the overall company mission to create a sustainable structure for maintaining cybersecurity health. Compound cybersecurity risk and impact on company operations as outputs of this quantitative analysis present a unique opportunity to strategically plan and make informed decisions towards acquiring a reputable position in a sustainable ecosystem. This method provides attack trees and assigns a risk factor to each vendor thus offering a competitive advantage and an insight into the supply chain risk map. This is an innovative way to look at vendor cybersecurity posture. Through a selection of unique industry specific parameters and a modular approach, this risk assessment model can be employed as a tool to navigate the supply base and prevent significant financial cost. It generates synergies within the connected vehicle ecosystem leading to a safe and sustainable economy.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125487844","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
The Application of eXtended Reality for Learning in Higher Education 扩展现实在高等教育学习中的应用
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912574
A. Perçuku, D. Minkovska
{"title":"The Application of eXtended Reality for Learning in Higher Education","authors":"A. Perçuku, D. Minkovska","doi":"10.1109/COMSCI55378.2022.9912574","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912574","url":null,"abstract":"The eXtended reality technologies can enable the teachers for improving their outcomes in learning. This may be achieved by using the student’s interactivity, engagements and collaboration. This study aims to show the interest of students for 3D content and 360 degree lessons on eXtended reality environment. Three groups of students for different lectures take part on the questionnaire. The results show an increasing the interest, attention and motivation of students on learning by eXtended reality.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"37 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122507563","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
Improving the Accuracy of Rapid Antigen Tests for Covid-19 using Data Mining and Blood Test 利用数据挖掘和血液检测提高Covid-19快速抗原检测的准确性
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912572
G. Popov, O. Nakov, Antoaneta Popova
{"title":"Improving the Accuracy of Rapid Antigen Tests for Covid-19 using Data Mining and Blood Test","authors":"G. Popov, O. Nakov, Antoaneta Popova","doi":"10.1109/COMSCI55378.2022.9912572","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912572","url":null,"abstract":"PCR tests are known to give the most accurate results, but are not suitable for mass testing. This article suggests the use of data extraction to diagnose Covid-19. For this purpose, data from rapid antigen tests, external signs of infection and general blood count are processed. The result is that the reliability of antigen tests increases from 50% to over 72%. The future development of the system is to generate a hypothesis about the likelihood of complex application of Covid-19. PCR tests are known to give the most accurate results, but are not suitable for mass testing.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128222125","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
Comparative Analysis of the Interoperability Assessment Methods and Approaches in the Industry 4.0 工业4.0中互操作性评估方法与途径的比较分析
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912606
Ognian Nakov, R. Trifonov, G. Pavlova, Plamen Nakov
{"title":"Comparative Analysis of the Interoperability Assessment Methods and Approaches in the Industry 4.0","authors":"Ognian Nakov, R. Trifonov, G. Pavlova, Plamen Nakov","doi":"10.1109/COMSCI55378.2022.9912606","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912606","url":null,"abstract":"The technological basis of the modern industry is composed of smart, cognitive, connected, embedded and digitally integrated systems, which to a great extent support the automation and better organization of the production processes. In this paper are considered standards, which facilitate interoperability inside the enterprise and cross-industry cooperation, in order to better understand problems and to identify barriers to interoperability. A comparative analysis of the main interoperability assessment methods and approaches regarding the collaborative enterprise systems is conducted.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116353192","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
Methodology for Teaching Human Resource Information Systems in the Training of Management Staff and Entrepreneurs 管理人员和企业家培训中的人力资源信息系统教学方法
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912579
K. Anguelov, Radoslav Kostev
{"title":"Methodology for Teaching Human Resource Information Systems in the Training of Management Staff and Entrepreneurs","authors":"K. Anguelov, Radoslav Kostev","doi":"10.1109/COMSCI55378.2022.9912579","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912579","url":null,"abstract":"The development of modern business is unthinkable without the implementation and use of information systems for managing various business processes. This also applies to the process of human resource management, which is the basis of the success of business organizations. Effective and efficient management of human capital is dictated by the opportunities provided by Human Resource Information Systems / HRIS /. In this regard, it is necessary to improve the skills and competencies of entrepreneurs and management staff, with the main role played by training for effective use of Human Resource Information Systems. This paper focuses on the process of conducting HRIS training for entrepreneurs and management staff, as well as the specifics that training must meet during its various stages. Specific indicators for assessing the effectiveness and efficiency of training have been identified.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125936783","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
An Overview of Intelligent Information Transport Management Systems in Rail and Water Transport 铁路和水运智能信息运输管理系统综述
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912605
I. Stankov, V. Stefanova-Stoyanova, Georgi Tsochev
{"title":"An Overview of Intelligent Information Transport Management Systems in Rail and Water Transport","authors":"I. Stankov, V. Stefanova-Stoyanova, Georgi Tsochev","doi":"10.1109/COMSCI55378.2022.9912605","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912605","url":null,"abstract":"With the rapid development of information technology and digitalization, transport management information systems have been created. These systems contribute to the accurate, high-quality and timely management and monitoring of a number of transport sectors. The rapid development and great application of these systems is observed in the management of rail and water transport. Permanently increasing in the volume of data leads the question of effective storage in Data warehouses arises. This article provides an overview of leading projects, initiatives and directives in the framework of implementation and development of information systems in the mentioned transport sectors mainly in the EU. ERTMS European Railway Traffic Management System (ERTMS), UNIFE, Self-Organised Time Division Multiple Access (SOTDMA), Automatic Identification System (AIS), Vessel Traffic Management Information System (VTMIS), Global Maritime Distress and Safety System (GMDSS) are considered.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128420521","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
The Voltage Prediction of a Buck Converter Using Machine Learning Approaches 基于机器学习方法的降压变换器电压预测
2022 10th International Scientific Conference on Computer Science (COMSCI) Pub Date : 2022-05-30 DOI: 10.1109/COMSCI55378.2022.9912575
M. Kocaleva, Z. Zlatev, N. Hinov
{"title":"The Voltage Prediction of a Buck Converter Using Machine Learning Approaches","authors":"M. Kocaleva, Z. Zlatev, N. Hinov","doi":"10.1109/COMSCI55378.2022.9912575","DOIUrl":"https://doi.org/10.1109/COMSCI55378.2022.9912575","url":null,"abstract":"Machine learning is a part of artificial intelligence and a method of analyzing data that convert to automatic operations the building of analytical models. It is aimed on the proposal that systems can learn from materials on their own, identify patterns, and build decisions with little or no human assistance. The paper reviews the machine learning as a process for teaching computers to learn from experience or directly from data, based on a predefined equation as a model. We used four types of decision tree as machine learning methods for data set classification, such as PERTree, M5P, RandomTree and RandomForest. First, we give the equations for buck converter as a model, then we teach the computer to make predictions by his own. The Buck DC-DC converter decrease voltage by using a transformer, so the output voltage is always less than or equal to the input voltage. Second, the way we gain the database and WEKA software are described. WEKA operate with.arff file format, so we first convert our database in the required format. Then we present and discuss the results obtained using different types of classification.","PeriodicalId":399680,"journal":{"name":"2022 10th International Scientific Conference on Computer Science (COMSCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128980225","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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