Tuyana Bayaskalanova

Prof. Tuyana Bayaskalanova

Institute of Information Technology and Data Science, Irkutsk National Research Technical University, 83, Lermontova st., Irkutsk 664074, Russia
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 August 2020 in Sustainability
Verified
Journal Article
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MKMaria Kuklina
Maria Kuklina
ATAndrey Trufanov
Andrey Trufanov
TBTuyana Bayaskalanova
Tuyana Bayaskalanova
НУНина Уразова
Нина Уразова
ATAlexei Tikhomirov
Alexei Tikhomirov
NHNadezhdaHoch Hoch
NadezhdaHoch Hoch
Modern network science has become a prominent concept, attracting diverse scientific societies to solve a wide spectrum of theoretical and practical problems. Tourism is a sphere wherein the outlines of the network’s scope are distinct. In the study, the network approach was applied in its dual form for both network-like regional tourism data (NLRTD) and network-unlike regional tourism data (NURTD), to explore the tourism destination of Baikal natural territory, Russia, in regard to the challenges of the general sustainability of regional socio-ecological systems. The aim of the study is to elaborate a comprehensive network platform to harmonize such complex and fragile systems as Baikal natural territory. Saturated with networking ideology, the approach spans a huge set of interacting social, technological and ecological elements of the comprehensive system in order to support its functionality and sustainability in general. Particularly, the paper utilizes data from interviews done in Olkhon island (2017–2018), and publicly available textual, spatial and temporal data. NLRTD with pertinent networkization procedures was utilized in transportation schemes, while the NURTD concept implies the networkalization of landscape and land use maps. The platform provides researchers and stakeholders with concentrated information which might be not only effectively processed, but also intelligible, and correctly compared and implemented in contiguous spheres.

1 September 2018
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Conference Paper
Closed access
NDNatalia V. Dneprovskaya
Natalia V. Dneprovskaya
TBTuyana Bayaskalanova
Tuyana Bayaskalanova
VRVitaly L. Ruposov
Vitaly L. Ruposov
ISInessa V. Shevtsova
Inessa V. Shevtsova
The research objective is to assess the status of digitalization of Russian higher education as a basis for the development of smart education. To solve the tasks of public administration of education, various state information systems are being created. 80% of Russian universities use different information systems in the administrative activities of universities. The assessments of the use of ICT in the educational process point to a great potential that has remained unoccupied in the last few years, less than 30% of Russian students are trained using e-learning and distance education technologies. The use of educational technologies and techniques using ICT is fragmentary. The initiative to develop educational tools and techniques on the basis of ICT, as a rule, belongs to nongovernmental organizations that highly appreciate not only the effectiveness of the use of these technologies in the educational process, but also the potential of the market of educational services provided online. The study shows that the Russian education system has created the necessary backlog for the creation of an ICT infrastructure, regulatory and legal support, which should be used to develop smart education.

17 December 2018 in The European Proceedings of Social and Behavioural Sciences
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Conference Paper
Closed access
NDN. Dneprovskaya
N. Dneprovskaya
TBTuyana Bayaskalanova
Tuyana Bayaskalanova
ISI. Shevtsova
I. Shevtsova
AUA. Urintsov
A. Urintsov

17 December 2018 in The European Proceedings of Social and Behavioural Sciences
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Conference Paper
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VRV. Ruposov
V. Ruposov
TBTuyana Bayaskalanova
Tuyana Bayaskalanova
ABA. Belikov
A. Belikov
AUA. Urintsov
A. Urintsov

15 October 2018 in MATEC Web of Conferences
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Journal Article
Open access
TBTuyana Bayaskalanova
Tuyana Bayaskalanova
VKVladimir Kabakov
Vladimir Kabakov
OKOlga Kabakova
Olga Kabakova
The definition of the concept of technical equipment and identification of the level of technical equipment of agriculture in the Novosibirsk region is dealt with in this paper. The analysis of the technical equipment of agricultural production with machinery and mechanisms has been conducted. The study of literature sources on definition of the concept of technical equipment of agricultural production has been carried out. Statistical data on the availability of agricultural machinery for agricultural producers in the region, and the structure of energy capacities have been analyzed. The data on the renewal of agricultural machinery and the volume of production of plant growing and livestock are graphically presented. The factors influencing the technical equipment of agricultural production and the degree of their influence on the efficiency of the agricultural production of the region are revealed. The ways of improving the system of technical equipment are suggested. The model of the dependence of the efficiency of agricultural production on its technical equipment is substantiated with the help of economic and mathematical modeling in order to obtain more accurate data on the region’s need for agricultural machinery.

15 October 2018 in MATEC Web of Conferences
Verified
Journal Article
Open access
VRVitaliy Ruposov
Vitaliy Ruposov
TBTuyana Bayaskalanova
Tuyana Bayaskalanova
NDNatalia Dneprovskaya
Natalia Dneprovskaya
The approach to assessing the impact of the number of effective patents on inventions registered by the company on the value of its brand is considered in this paper. In current conditions of turbulent economic development, the issue of value of the objects of intellectual property created by the company is often raised, since the value of such an object can be higher than the funds contributed to the charter capital. For high-tech companies, this imbalance can persist in the maturity stage. All these parameters define the relevance of the research. In the paper, statistical analysis of the ten most expensive companies in the world is performed, and a model of links between the value of the company and the number of intellectual property objects is built, that has revealed the independence of the brand value of the company. Based on the received economic and mathematical parameters, created on the basis of statistical data, the conclusions have been generated.