2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)最新文献_第2页

Legal Aspects of Journalist Activity: Successes and Problems in Project Implementation 新闻活动的法律方面:项目实施中的成功与问题

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/csit56902.2022.10000847

Z. Haladzhun, N. Kunanets, Lidiia Snitsarchuk, Nataliia Veretennikova

{"title":"Legal Aspects of Journalist Activity: Successes and Problems in Project Implementation","authors":"Z. Haladzhun, N. Kunanets, Lidiia Snitsarchuk, Nataliia Veretennikova","doi":"10.1109/csit56902.2022.10000847","DOIUrl":"https://doi.org/10.1109/csit56902.2022.10000847","url":null,"abstract":"The implementation of the project confirmed the students' high interest and understanding of the knowledge importance and correct interpretation of the legal norms regulating the activities of media and media creative workers in Ukraine. At each stage of project implementation, starting from the information analysis for its initialization to the publication of the tutorial (the last stage), an announcement of the events organized as a part of the project with active advertising was formed (about all events no later than 10 days before the event), posting information on the Facebook department's page, as well as on the website of the Lviv Polytechnic National University, and also publishing photo reports on the events. The project’s goal was achieved as an electronic dictionary of basic terms for the discipline Human Rights in the Media was created, as well as the dictionary of basic terms for the subject Legal norms of journalism in Ukraine was completed. Furthermore, the awareness of students, future journalists was increased depending on the method of work design, type of mass media, and nature of work (survey results), the legal information hygiene was formed (survey results), the ability to read and interpret the statements of normative legal acts on mass media activities was improved (survey results), the skills were formed to distinguish facts from comments, to write information requests and appeals, to work in a court, which became especially relevant in the conditions of martial law.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"590 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113997448","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

Construction of Forecast Models based on Bayesian Structural Time Series 基于贝叶斯结构时间序列的预测模型构建

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000484

I. Kalinina, P. Bidyuk, A. Gozhyj

{"title":"Construction of Forecast Models based on Bayesian Structural Time Series","authors":"I. Kalinina, P. Bidyuk, A. Gozhyj","doi":"10.1109/CSIT56902.2022.10000484","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000484","url":null,"abstract":"The article discusses the methodology for solving problems of modeling and forecasting time series using the method of Bayesian structural time series (BSTS). The analysis used real stock price data from Amazon, Facebook, and Google over a period of three and a half years. The Bayesian model of the structural time series was described. The model is presented in the form of a state space. The learning process of the BSTS model is performed in four stages: setting the structural components of the model and a priori probabilities; applying a Kalman filter to update state estimates based on a set of input data; application of the “spike-and-slab” method to select variables in a structural model; averaging the results of the Bayesian model in order to make a forecast. An algorithm for constructing a BSTS model with predictors was developed. The process of fitting structural models of time series was performed using the Kalman filter and the Monte Carlo method according to the Markov chain scheme (MCMC). The results of modeling and forecasting of the BSTS model with predictors were compared with similar models without predictors. The calculation procedures and visualization were performed using the BSTS package implemented in R. The prediction accuracy for competing models was evaluated using prediction plots and a set of metrics: MAPE, MAE, RMSE, and Theil U statistics.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127962014","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 effective and efficient approach to collect, accumulate and analyze feedback from the client 收集、积累和分析客户反馈的有效方法

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000579

S. Krepych, I. Spivak, S. Spivak

引用次数: 0

Associative Verbal Network of Concepts РАДІСТЬ (JOY) and СТРАХ (FEAR): Experimental and Corpus Approaches 联想语言网络的概念РАДІСТЬ(喜悦)和СТРАХ(恐惧):实验和语料库方法

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000485

Olena-Anna Hultso, Olena Levchenko

引用次数: 2

Personalized Itinerary Recommendation via Expectation-Maximization 基于期望最大化的个性化行程推荐

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000525

C. Panagiotakis, Evangelia Daskalaki, H. Papadakis, P. Fragopoulou

引用次数: 0

Cluster Analysis as an Assessment Tool of the Impact of the COVID-19 Pandemic on the Development of Tourism in the Regions of Ukraine 聚类分析作为COVID-19大流行对乌克兰地区旅游业发展影响的评估工具

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000534

I. Kulyniak, I. Novakivskyi, O. Karyy, L. Halkiv, S. Ohinok

引用次数: 0

Web-Based Service Development for Intellectual Maintenance of the Personalized Educational and Professional Program : Adaptive provision of educational services in academic mobility context through automated improvement of quality and relevance of tutorial content 为个性化教育和专业项目的智力维护开发基于网络的服务:通过自动提高教学内容的质量和相关性，在学术流动背景下提供适应性的教育服务

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000655

T. Neroda, L. Slipchyshyn

{"title":"Web-Based Service Development for Intellectual Maintenance of the Personalized Educational and Professional Program : Adaptive provision of educational services in academic mobility context through automated improvement of quality and relevance of tutorial content","authors":"T. Neroda, L. Slipchyshyn","doi":"10.1109/CSIT56902.2022.10000655","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000655","url":null,"abstract":"The results of empirical analysis of conceptual sources in the direction of educational methods comparison for optimizing the teaching loads for engineering education applicants are presented. Disadvantages and potential conflicts of trainee when mastering of educational and professional program content are formalized, in particular within academic mobility frameworks, as well as in view of the rapid increase in the number of academic refugees. Among the recommended ways of solving problems with academic arrears accumulation, is the information and communication technology of matching the optimally combined educational content to soft compensate for the knowledge and skills that student’s lacks. The relevance of automated quality improvement and propriety of tutorial content is substantiated, and sets of software functionalities of web-based service for teaching loads personalization are determined, which were localized by departments of academic information space for purpose of integration into a united cross-academic communication system. Proposals regarding the reorganization of the structure of digitized methodical and information supports of the educational process according to the mosaic principle have been formulated. On basis of the developed analytical apparatus, a communication model of the network infrastructure of teaching loads optimization service was built, which provides a targeted selection of tutorial media content from problematic domain of subject in file storages of university library collections and confidential faculty funds and distributes according to the forms of educational process on the end terminal of the authorized user.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131222777","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

Designing Semi-Automated Decision-Making Expert Systems for Healthcare Tasks 为医疗保健任务设计半自动决策专家系统

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000448

O. Mulesa, O. Kachmar, I. Myronyuk, Petro Horvat, T. Radivilova, Yevhenii Kykyna

引用次数: 1

Dictionary data structure for a text analysis task using cross-references 字典数据结构的文本分析任务使用交叉引用

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000460

A. Yarovyi, Dmytro Kudriavtsev

引用次数: 0

Statistical Profile of Yulian Opilsky’s Stories “Idols Will Fall” and “I Am Coming to You”: corpus-based studies 尤莲·奥匹尔斯基小说《偶像会倒下》和《我来找你》的统计分析:基于语料库的研究

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000570

Y. Shyika, H. Oleksiv, M. Bekhta-Hamanchuk

引用次数: 0