The Information Support of Virtual Research Teams by Means of Cloud Managers

Rzheuskiy, Antoniy; Веретеннікова, Наталія; Kunanets, Nataliia; Kut, Vasyl

doi:10.5815/ijisa.2018.02.04

Cited by 11 publications

(2 citation statements)

References 9 publications

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“…OLAP information technology is based on a multidimensional data model that contains basic entities, in particular, the data hypercube rel, dimension D, attribute A, cell X, value rel (D,A) [25]. Multidimensional analysis of COVID-19 data provides research and analysis of the characteristics of municipal and open medical and sociocommunication resources, including the choice of a set of attributes used for parameterization of the information model [26][27][28][29][30] (Fig. 1).…”

Section: Multidimensional Representation Of Covid-19mentioning

confidence: 99%

Multidimensional Representation of COVID-19 Data Using OLAP Information Technology

Duda

Pasichnyk

Kunanets

et al. 2020

2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)

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In December 2019, an unknown disease was first reported in Wuhan (Hubei province, China), which subsequently spread around the world. COVID-19 is an infectious disease accompanied by severe acute respiratory syndrome (SARS-CoV-2) [1], which is called a "coronavirus" for the visual similarity of the pathogen to the crown [2]. On April 23 2020, the World Health Organization has identified more than 2.5 million confirmed cases of COVID-19 virus disease[3]. Considering the scope of spread and features of the pandemic caused by the COVID-19 virus, timely diagnosis of the disease of citizens is important. The first step in developing any diagnostic or treatment tools is to effectively process data collections, much of which are based on open data from national, provincial, and municipal health facilities. At the same time, the importance of IT support the processes of making operational and strategic decisions in the health sector, as a critical area of smart cities and smart regions is increasing. Therefore, developing effective and reliable means of generating and processing detailed collections of COVID-19 outbreaks in real-time is an important research area in the implementation of innovative information technology projects of the smart city and smart region class. It requires design, development and implementation of information technology and software-algorithmic tools to collect and process data globally.

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Section: Multidimensional Representation Of Covid-19mentioning

confidence: 99%

Multidimensional Representation of COVID-19 Data Using OLAP Information Technology

Duda

Pasichnyk

Kunanets

et al. 2020

2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)

Self Cite

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“…Summarizing the successful enterprises worldwide in the current environment, virtual teams are an inevitable choice for companies and enterprises to reach a certain stage and respond to market demand [ 5 ]. The innovative virtual team model constitutes a flat organizational structure, which is of great significance for enterprises to achieve specific major project goals and overall innovation [ 6 , 7 ]. Most existing research on virtual teams has no precise project function positioning.…”

Section: Introductionmentioning

confidence: 99%

The application of virtual teams in the improvement of enterprise management capability from the perspective of knowledge transfer

Zhang

2022

PLoS ONE

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To clarify the problems existing in the process of knowledge transfer of virtual teams, the team cooperation optimization model is combined with the technological innovation capability under the neural network (NN) model, and it is expected to provide a reference for the knowledge management and technological innovation of enterprises. This study first explores the organization, collaboration, and management of virtual teams from the perspective of knowledge transfer. In addition, based on NN, the research and development (R&D) and innovation capabilities of enterprises are studied, and an evaluation index system is constructed. In the stage of empirical analysis, this study selects Enterprise A for research and analyzes the status quo and existing problems of this company. Then, this study proposes a set of schemes conducive to virtual team collaboration and comprehensively uses management theory to evaluate the application effect. The team collaboration model based on knowledge transfer is applied to the operation and management of the enterprise, which significantly improves the collaboration between the various departments of the enterprise and the fluidity of resources. An enterprise R&D capability evaluation system based on a NN model can comprehensively evaluate various index data, thereby prompting its further strategic management and investment. The virtual team collaboration model combined with the R&D technological innovation under the NN model can objectively evaluate the capabilities of the enterprise, thereby improving the management efficiency and benefiting the long-term development of the enterprise.

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Visualization of Expert Evaluations of the Smartness of Sociopolises with the Help of Radar Charts

Pasichnyk

Tabachyshyn

Rzheuskyi

2019

Advances in Computer Science for Engineering and Education II

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The Information Support of Virtual Research Teams by Means of Cloud Managers

Cited by 11 publications

References 9 publications

Multidimensional Representation of COVID-19 Data Using OLAP Information Technology

Multidimensional Representation of COVID-19 Data Using OLAP Information Technology

The application of virtual teams in the improvement of enterprise management capability from the perspective of knowledge transfer

Visualization of Expert Evaluations of the Smartness of Sociopolises with the Help of Radar Charts

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