Greenhouse Gas Emission Determination Based on the Pseudo-Base Matrix Method for Environmental Pollution Quotas Between Countries Allocation Problem

Hnatiienko, Hrygorii; Кудин, В. Г.; Onyshchenko, Andriy; Snytyuk, Vitaliy; Kruhlov, Alexander

doi:10.1109/saic51296.2020.9239125

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…x (i) = 0, i = k + 1, I. Therefore, it can be concluded that the systematic error of extrapolation does not occur when using the method (14).…”

Section: Optimal Methods Of Joint Filtration and Extrapolationmentioning

confidence: 93%

“…According to the above, we can deduce that the completed research resulted in the optimal method of matched extrapolation with pre-filtering of measurement errors, which does not impose any significant restrictions on the class of random processes that are predicted. The extrapolating filter (14) in question is a generalization of all the scalar prediction methods considered in this article. The said scalar prediction methods follow from (14) as the partial cases, which correspond to the imposition of certain restrictions on the extrapolating filter (14).…”

Section: Optimal Methods Of Joint Filtration and Extrapolationmentioning

confidence: 99%

“…The extrapolating filter (14) in question is a generalization of all the scalar prediction methods considered in this article. The said scalar prediction methods follow from (14) as the partial cases, which correspond to the imposition of certain restrictions on the extrapolating filter (14). Thus, the method ( 14) is reduced to the form presented in (1) when the filtration and extrapolation operations are not matched.…”

Section: Optimal Methods Of Joint Filtration and Extrapolationmentioning

confidence: 99%

“…The development of information technology entails an increase in the capacity of computer systems. This makes it possible to introduce the prediction of random processes widely and in all fields of science [12][13][14][15][16]. The methods that previously could not be applied due to computational constraints are now being widely adopted [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal forecast algorithm based on compatible linear filtration and extrapolation

Mashkov¹,

Murasov²,

Kravchenko³

et al. 2021

Math. Model. Comput.

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This work considers the methods of optimal linear extrapolation of the flight path of the aircraft, which provide a minimum of the mean square of the forecast error with different amounts of a priori information. The research is based on the canonical decomposition of a vectorial random process. It is determined that the development of modern technologies entails increasing requirements for quality and accuracy of control. However, since the existing methods of linear extrapolation do not provide for the maximum accuracy of the forecast due to the inherent constraints on the random process that describe the motion of aircraft, this necessitates a further development and improvement of methods for extrapolation of aircraft trajectories. The peculiarity of the developed methods for extrapolation of aircraft trajectory is that they allow within the correlation model to fully take into account the properties of a real random process that describes the motion of aircraft at the landing approach stage. This provides for the maximum possible accuracy of linear extrapolation with a variety of information support conditions. These methods allow improving the safety of flights and the efficiency of aviation. Accordingly, new capabilities of aircraft and other sophisticated technical systems can be further considered.

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“…x (i) = 0, i = k + 1, I. Therefore, it can be concluded that the systematic error of extrapolation does not occur when using the method (14).…”

Section: Optimal Methods Of Joint Filtration and Extrapolationmentioning

confidence: 93%

Section: Optimal Methods Of Joint Filtration and Extrapolationmentioning

confidence: 99%

Section: Optimal Methods Of Joint Filtration and Extrapolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal forecast algorithm based on compatible linear filtration and extrapolation

Mashkov¹,

Murasov²,

Kravchenko³

et al. 2021

Math. Model. Comput.

View full text Add to dashboard Cite

show abstract

“…Under the modern conditions of horticulture, the environmental factor is of significant importance, and the solution to the problem of long-term planning according to the Leontiev-Ford ecological and economic model, taking into account the magnitude of the environmental costs, is proposed by the authors Gnatienko G.N. et al in [49].…”

Section: Literature Reviewmentioning

confidence: 99%

Laser Rangefinder Methods: Autonomous-Vehicle Trajectory Control in Horticultural Plantings

Kutyrev,

Kiktev,

Smirnov

2024

Sensors

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This article presents a developed motion control system for a robotic platform based on laser-ranging methods, a graph traversal algorithm and the search for the optimal path. The algorithm was implemented in an agricultural building and in the field. As a result, the most efficient algorithm for finding the optimal path (A*) for the robotic platform was chosen when performing various technological operations. In the Rviz visualization environment, a program code was developed for planning the movement path and setting the points of the movement trajectory in real time. To find the optimal navigation graph in an artificial garden, an application was developed using the C# programming language and Visual Studio 2019. The results of the experiments showed that field conditions can differ significantly from laboratory conditions, while the positioning accuracy is significantly lower. The statistical processing of the experimental data showed that, for the movement of a robotic platform along a given trajectory in the field, the most effective conditions are as follows: speed: 2.5 km/h; illumination: 109,600 lux; distance to the tree: 0.5 m. An analysis of the operating parameters of the LiDAR sensor showed that it provides a high degree of positioning accuracy under various lighting conditions at various speeds in the aisles of a garden 3 m wide with an inter-stem distance of 1.5 m and a tree crown width of 0.5 m. The use of sensors—rangefinders of the optical range—allows for the performance of positional movements of the robotic platform and ensures the autonomous performance of the basic technological operations of the units in intensive gardens with a deviation from the specified trajectory of no more than 8.4 cm, which meets the agrotechnical requirements.

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Information technology for time series forecasting based on the evolutionary method of the forecasting scheme synthesis

Mulesa

Batyuk

Geche

et al. 2021

2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)

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Greenhouse Gas Emission Determination Based on the Pseudo-Base Matrix Method for Environmental Pollution Quotas Between Countries Allocation Problem

Cited by 4 publications

References 3 publications

Optimal forecast algorithm based on compatible linear filtration and extrapolation

Optimal forecast algorithm based on compatible linear filtration and extrapolation

Laser Rangefinder Methods: Autonomous-Vehicle Trajectory Control in Horticultural Plantings

Information technology for time series forecasting based on the evolutionary method of the forecasting scheme synthesis

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