Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Boris P. Kazakov"'
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 333, Iss 9, Pp 27-36 (2022)
The relevance of the study is caused by the need to develop resource-saving technologies for forced ventilation of dead-end drifts related to ensuring the safety of air ducts during blasting. The solution to the problem lies in the development of tec
Externí odkaz:
https://doaj.org/article/55f819546df94b7ca4d931b5667f4703
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 332, Iss 6, Pp 39-59 (2021)
The relevance of the study is caused by the need to reduce the additional aerodynamic load on the main fans associated with the occurrence of pressure drop caused by water build-up effect in mine ventilation shafts. This negative effect can lead to s
Externí odkaz:
https://doaj.org/article/1a6cb5be61b54306916e8e448702795f
Autor:
Evgeniy V. Kolesov, Boris P. Kazakov
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 331, Iss 7, Pp 15-23 (2020)
The relevance of the researchis caused by the need toimprove the ventilation system of dead-end headings, labor reductionfor their ventilation, speeding up basic mining operations. The main aim of the research is to determin the effective ventilation
Externí odkaz:
https://doaj.org/article/af341e34deba4c6784053c4d52d9ab10
Autor:
Boris P. Kazakov, Andrey V. Shalimov
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 331, Iss 6, Pp 113-120 (2020)
The relevance of the research is caused by the need to reduce the air temperature during mining operations in dead-end workings associated with the release of a large amount of heat. Development of ways to normalize the thermodynamic parameters of mi
Externí odkaz:
https://doaj.org/article/64198fe33e034d19b9c78bda59f434e2
Publikováno v:
Компьютерные исследования и моделирование, Vol 6, Iss 1, Pp 57-77 (2014)
A new method is described for finding parameters of univariate regression model: the greatest cosine method. Implementation of the method involves division of regression model parameters into two groups. The first group of parameters responsible for
Externí odkaz:
https://doaj.org/article/b2f4a09d86eb4d2e8ca1c113a5a93431