Mejora del sistema de control de asimetría de corriente de tracción

El artículo presenta enfoques que permiten modernizar el sistema de seguimiento de la asimetría de la corriente de tracción. Los sistemas existentes de diagnóstico técnico y monitoreo del estado técnico de los dispositivos de control de automatización y telemetría, que han encontrado una amplia aplicación en los ferrocarriles de JSC Russian Railways, no permiten monitorear el estado de los sistemas de infraestructura de transporte ferroviario adyacentes que afectan el desempeño del ferrocarril. dispositivos de control de automatización y telemetría. Además, la información sobre el estado del objeto que se está diagnosticando se envía al centro de monitoreo, mientras que el personal operativo y de reparación no tiene la información necesaria y comienza a trabajar solo después de recibir información sobre el mal funcionamiento del despachador del centro de monitoreo. El dispositivo móvil, propuesto en el artículo, permite reducir el tiempo necesario para obtener información sobre el estado inservible de la línea del ferrocarril. El artículo presenta el análisis de los gadgets previstos para su uso en un dispositivo móvil y el concepto de la interfaz de la aplicación móvil para técnicos. Cabe señalar que el hardware destinado a ser utilizado en un dispositivo móvil debe proporcionar protección contra el acceso no autorizado a la aplicación, así como tener un alto grado de protección contra la penetración. Además, el artículo identifica las áreas de mejora adicional del sistema de control de asimetría de la corriente de tracción

On pair of m-surfaces with the given network in multivariant projective space

The two m-dimensional surfaces in n-dimensional projective space between which points a point conformity is establishedis studied. The network of lines is given on surfaces. Some geometrical images connected with the network are considered. Consideration has everywhere local character. All functions considered in the given work are assumed analytical

Применение компьютерной лингвистики для анализа основных направлений исследований в журнале «Экономика региона»

Over the past decades, the process of knowledge generation has accelerated, producing a lot of scientific publications, which makes reviewing even a relatively narrow subject area very demanding, if not impossible. However, recent text data mining tools can assist researchers in conducting such analysis in an objective and time-efficient way. We conduct such a literature review on 1307 articles published in the journal Economy of Regions from 2010 to 2021 using advanced topic modelling techniques. This analysis aims to describe the main research areas in the journal over time, the dynamics of their popularity and the relationship with key quantitative indicators. We identified 22 topics ranging from“Agriculture” and“Economic Geography” to“Fiscal Policy” and“Entrepreneurship”. We estimate how popularity of these topics was changing over time and find topics that gained the most popularity from 2010 to 2021 (+17.61 %,“Spatial Economics”) or lost it (-14.58 %,“Economics of Innovation”). The topic of environmental economics collects the largest number of citations per article (3.64, on average), and the topics on monetary policy and poverty are the most popular among manuscripts in English, which is also true for articles written by authors with foreign affiliation. Papers with third-party funding are concentrated the most in “Spatial Economics” (around 11 %), and the least — in “Agriculture”. Our results can help to understand the evolution in scope of research of Economy of Regions and serve researchers to find promising directions for future studies. © Savin, I. V., Teplyakov, N. S. Text. 2022.Russian Foundation for Basic Research, РФФИ; Russian Science Foundation, RSF: 19–18–00262; Kementerian Riset, Teknologi dan Pendidikan TinggiIt is also worth stressing that the covariates we use do not have high Pearson correlation coefficients, but those coefficients that we present below are significant at the 1 % level. The highest correlation is between year of publication and presence of third-party funding (0.5), which reveals the fact that studies published in ER in recent years have been supported by either Russian (Russian Science Foundation, Russian Foundation for Basic Research) or sometimes also foreign grants (e.g., Ministry of Education and Science of the Republic of Kazakhstan or National Science Centre Poland). Affiliation of one of the co-authors to a foreign university, contrary to our initial expectation, is not so strongly correlated with English language of the article (coefficient is 0.44, which is a moderate value). This can be explained by a considerable share of native Russian-speaking authors who went abroad but continue collaboration with their colleagues in Russia and publish in Russian. Finally, the share of articles with an author affiliated abroad has a slight tendency to increase in ER over time (Pearson correlation with year of publication is 0.12).The article has been prepared with the support from the Russian Science Foundation, conducted as part of the research project № 19–18–00262 “Modelling a balanced technological and socio-economic development of the Russian regions”.We proceed with exploring how papers are distributed by topic depending on whether they are supported by third-party funding or not. In other words, the topics most and least likely to have received third-party funding will be identified. The bottom panel in Figure 7 shows the result. The most supported topic by a wide margin is T13 on spatial economics, accounting for about 11 % of funded manuscripts. For example, the work of Karim et al.1 (belonging to 86.5 % to T13) on studying the spatial effect of transport infrastructure expansion on regional growth was funded by the Ministry of Research, Technology and Higher Education of Republic of Indonesia. The least funded topic is Agriculture (T4), although there is little difference from other less supported topics

The new multipurpose neutron generator MANK

A new multi-purpose hardware-software system based on high-frequency pulsed neutron generator (MANK) is described. The main differences between this device from other devices of pulsed neutron logging (PNL) include: two probes, with each probes consists of a three epicadmium and thermal neutron counters, an variable frequency and duration of the fast neutron pulses. The device can measure the slowing-down time of neutrons, and determine the porosity of the reservoir with high sensitivity and weak influence of lithology, mineralization of the borehole and formation fluids. It is also possible the measurement of macro cross-section of thermal neutron capture (Sigma). There was completed computer (Monte-Carlo) optimization of the device, obtained a series of modeling and borehole measurements, obtained a set of interpretation charts for main parameters. Copyright 2012, Society of Petroleum Engineers