檢索結果 - probabilistic parameter optimization

The Ice, Cloud, and land Elevation Satellite-2 has provided unprecedented global surface elevation measurements through photon-counting Lidar (Light detection and ranging), yet its low signal-to-noise ratio (SNR) poses significant challenges for denoising algorithms. Existing methods, relying on fix...

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We consider environmental-economical models of optimal harvesting, given by the differential equations with impulse action, which depend on random parameters. We assume, that lengths of intervals θk between the moments of impulses τk are random variables and the sizes of impulse influence depend on...

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Faults in the critical components of a large rotatory machine often result in unplanned breakdowns, leading to a significant loss of property and life. Condition monitoring, as a key component in the smart maintenance of industrial equipment, has become a promising tool for providing automatic early...

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The primary objective of this study is to develop and assess computational methods for optimizing the geometry of specific building structures modeled through parametric description. The focus is on steel bar structures, including trusses and beams, subjected to varying load conditions with fixed an...

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Introduction. When managing traffic at the packet level in modern telecommunication networks, it is proposed to use methods that transform a self-similar stochastic packet flow into a quasi-deterministic one. To do this, it is required to apply complex probabilistic laws of distribution of self-simi...

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Warp sizing is the process of applying the sizing agents to the warp yarn to improve its weavability along with improving the economic performance of weaving. We consider a finite set of sizing agents or parameters mapped into a finite set of sizing quality indicators. Due to various limitations of...

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Nowadays, non-linear loads are being used in distribution systems increasingly. Despite the good features such as low initial construction cost, high efficiency, and controllability, these loads cause harmonic distortions. In previous studies, passive harmonic filters have been proposed to decrease...

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Objective. The purpose of these studies is to develop a methodology for assessing the seismic hazard of territories and a methodology for making an optimal design decision based on various criteria, including criteria for quantitative parameters of soil vibrations, taking into account regional pecul...

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Given problem optimization calculation of structures considering seismic hazard. Optimization conditions are presented based on probabilistic and economic criteria. For buildings with possible non-economic effects of a restriction on probability of failure, the amount of which is determined on the b...

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Membrane filtration, including reverse osmosis filtration, is widely applied in water treatment worldwide, offering solutions to a broad range of separation challenges. However, due to the porous structure of membranes, they are prone to fouling, which reduces their efficiency and can eventually ren...

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An approach to probabilistic assessment of field development forecast parameters for gas-condensate reservoir using multi­variant simulation was studied. The necessity of such decision may be explained by the aim to level the influence of large number of uncertainties which occur during the work wit...

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Accurate early warning of flash floods is critical for prompt decision-making in mitigating disaster impact. However, most current applications of flash-flood warning are based on deterministic approaches, and the inherent uncertainty that exists has not been fully considered. This study proposed a...

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In this paper, a definition of non additive measure is given, which has F-addability; the Einstein calculater is optimized, and the λ-fuzzy quasiproduct operator and λ-fuzzy quasi sum operator with adjustable parameters for practical problems are designed, and it is proved that they satisfy the cond...

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Objectives. The aim of this study is to develop analytical methods to evaluate the probabilistic and temporal characteristics and performance of wireless networks using the CSMA/CA access method. These methods enable the process of selecting rational operating modes to be automated and the impact of...

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This paper presents an innovative islanding detection method (IDM) that combines interval type-2 fuzzy logic with the Sandia frequency shift (SFS) technique for enhanced microgrid protection. The study examines a hybrid microgrid incorporating photovoltaic and wind farm distributed generation source...

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Abstract We present a new method for ambient noise tomography, which provides robust velocity images accompanied with meaningful estimates of local resolution and uncertainty. We use the Subtractive Optimally Localized Averages (SOLA) Backus–Gilbert inference method to determine surface wave velocit...

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Machine learning (ML) is transforming computational chemistry by accelerating molecular simulations, property prediction, and inverse design. Central to this transformation is mathematical optimization, which underpins nearly every stage of model development, from training neural networks and tuning...

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Within the project of developing an automatic feed wagon, the initial task is to determine its overall parameters, which directly depend on the wagon volume. (Research purpose) To simulate the automatic feed wagon operation in order to determine the optimal volume ensuring the versatility of its use...

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Modern conditions of economic activity of civil aviation operators make actual the problem of economically feasible measures for the organization of technical operation and maintenance of industry equipment, in particular, means of radio technical support for flights and aeronautical telecommunicati...

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ObjectiveThis research aims to develop a comprehensive environmental health risk prediction system for elderly populations in cold regions based on a Bayesian probability framework. The system is designed to quantitatively evaluate the effects of different outdoor environmental exposures on physiolo...

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