P04.08: Tricuspid and mitral area measurement and correlation with the fetal biometric parameters

In the article, the results of research on the methodology for conducting studies with corn culture under various methods of sowing and weather conditions. The aim of the research was to establish and evaluate the reliability and high accuracy of the experiment, with a decrease in the area's acreage and taking one plant per repetition. Based on the results of the analysis of biometric parameters and yields, the possibility of sampling from 5 to 108 plants was established statistically and mathematically to establish the accuracy of the experiment. The established parameters of sites in experiments with maize indicate the possibility of obtaining much more information from a smaller unit of area, that is, to increase labor productivity not only with tilled crops. This is the goal of further scientific research with other field crops taking 1 plant of repetitions, observing the conditions of leveling the experimental plot according to the fertility of the soil and sowing seeds with high condition. The data obtained give grounds for continuing research on the minimum space required and the sample in the experiments.

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Selection of china plum varieties (Prunus salicina lindl.) for use in modern plantings of the northern caucasus foothill zone

POMICULTURE & SMALL FRUITS CULTURE IN RUSSIA ◽

10.31676/2073-4948-2020-61-69-76 ◽

2020 ◽

Vol 61 ◽

pp. 69-76

Author(s):

A. E. Dedova

Keyword(s):

Northern Caucasus ◽

Seasonal Growth ◽

North Caucasus ◽

Biometric Parameters ◽

The North ◽

Prunus Salicina ◽

Breeding Station ◽

New Varieties ◽

Plum Varieties ◽

Selection Of

This paper presents the results of two years of research (2018-2019) of the most important phonological phases of seasonal growth and development, biometric parameters, productivity and economic efficiency of new varieties of Chinese plum (P. salicina Lindl.) grown in the foothill zone of the North Caucasus in the Krymsk district of Krasnodar territory on a plot of the Krymsk experimental breeding station – branch of VIR. As a result of research, the varieties Angeleno, Black Star, Byron Gold, Black Amber, Larry Ann and Sun Gold were recommended for cultivation using intensive technologies.

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Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement

Protection and Control of Modern Power Systems ◽

10.1186/s41601-021-00189-9 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Bhargav Appasani ◽

Amitkumar Vidyakant Jha ◽

Sunil Kumar Mishra ◽

Abu Nasar Ghazali

Keyword(s):

Real Time ◽

Situational Awareness ◽

Area Measurement ◽

Measurement Unit ◽

Monitoring And Control ◽

Communication Infrastructure ◽

Wide Area Measurement System ◽

Digital Elevation ◽

Elevation Model ◽

And Control

AbstractReal time monitoring and control of a modern power system has achieved significant development since the incorporation of the phasor measurement unit (PMU). Due to the time-synchronized capabilities, PMU has increased the situational awareness (SA) in a wide area measurement system (WAMS). Operator SA depends on the data pertaining to the real-time health of the grid. This is measured by PMUs and is accessible for data analytics at the data monitoring station referred to as the phasor data concentrator (PDC). Availability of the communication system and communication delay are two of the decisive factors governing the operator SA. This paper presents a pragmatic metric to assess the operator SA and ensure optimal locations for the placement of PMUs, PDC, and the underlying communication infrastructure to increase the efficacy of operator SA. The uses of digital elevation model (DEM) data of the surface topography to determine the optimal locations for the placement of the PMU, and the microwave technology for communicating synchrophasor data is another important contribution carried out in this paper. The practical power grid system of Bihar in India is considered as a case study, and extensive simulation results and analysis are presented for validating the proposed methodology.

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