檢索結果 - optimization algorithm

The incorporation of renewable energy systems into the power utility substantially affects the electrical system’s power quality (PQ). Despite their intermittent nature, renewables are viewed as unreliable. To evaluate their impact on voltage superiority and harmonic assessment, the deployment of a...

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The rapid expansion of urban areas necessitates effective monitoring systems for sustainable development planning. Time-series change detection algorithms applied to satellite imagery offer promising solutions, but their comparative effectiveness specifically for urban land cover monitoring remains...

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The integration of renewable energy sources such as photovoltaic (PV) and wind systems demands high-efficiency, high-voltage gain power conversion architectures. However, interleaved boost converters, while suitable for such applications, face challenges in balancing complexity, scalability, cost, a...

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This paper proposes a novel technique to enhance isolation in rectangular patch antennas by leveraging the mode characteristics of TM010 and TE30 to achieve better than −40 dB between the transmitter and receiver with dual-polarization features. The primary innovation of this work lies in achieving...

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The article deals with the multi-criteria task of routing and scheduling of unmanned and manned aircraft using the method of penalty functions. The authors describe the urgency of the problem being solved for the airline management under the conditions of the existing changes in the dynamic situatio...

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The paper presents the authors view and some remarks on the problem of solving optimization problems in the field of aviation security related to insurmountable difficulties of formalization and mathematical interpretation of the domain formulation of such problems. It is shown that the vast majorit...

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The problem of clustering data arrays described in both vector and matrix forms and based on the optimization of data distribution density functions in these arrays is considered. For the optimization of these functions, the algorithm that is a hybrid of Fish School Search, random search, and evolu...

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The advent of novel waste disposal methodologies, which are energy-efficient and environmentally benign, has created opportunities for the deployment of artificial intelligence technologies in the management of solid waste treatment. This review examines the deployment of AI-optimized control algori...

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Compact and low-loss waveguide devices are highly desired in the development of THz-wave circuits. Nonradiative dielectric (NRD) waveguides having simple structures and very low loss are promising platforms for THz-wave circuits, and previously some basic devices have been reported. As the NRD guide...

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This paper presents a distributed optimization strategy for reactive power–voltage control in distribution networks with high photovoltaic (PV) penetration under limited sensor deployment scenarios. To address voltage violations and minimize network power losses, a novel distributed optimization fra...

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This study aims to estimate the asymptotic fouling resistance and the time constant using an industrial database and the mathematical fouling model developed by Kern and Seaton. The results obtained with the Kern and Seaton model show an asymptotic evolution of the fouling resistance as a function o...

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HMG-CoA reductase inhibitors (statins) are a key class of drugs for the treatment and prevention of atherosclerosis and its complications. This class of drugs has become firmly established in Russian and international guidelines with a high level of evidence. However, the use of these drugs in pract...

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In order to improve the stability of photovoltaic power grid connection and make full use of error information to correct the model prediction results, this paper proposes a short-term photovoltaic power prediction model based on long short-term memory (LSTM) and error correction. First, the data is...

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Data-driven models perform poorly on part-of-speech tagging problems with the square Hmong language, a low-resource corpus. This paper designs a weight evaluation function to reduce the influence of unknown words. It proposes an improved harmony search algorithm utilizing the roulette and local eva...

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The efficiency and torque ripple of an electric vehicle (EV) determine its performance and driving range. An optimum reference flux increases efficiency and decreases torque ripple and harmonics. This strategy used in the current literature is based on either a lookup table or a search control appro...

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In electricity generation systems, problems related to economic and environmental dispatch represent potential for improvement in generating plants. The Environmental Economic Dispatch (EED) consists of minimizing the cost of generation and emission of pollutants such as CO2, SO2 and NOx. In additio...

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The mathematical analysis of the problem of so-called “non-Gaussian” regimes in the computational solution of the integro-differential isoelectric focusing (IEF) problem is done. Due to the problem analytic transformation, the development of the optimization algorithms and the numerical asymptotic t...

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Abstract A novel deep learning framework for recognition of distracted driving behavior is proposed in this paper. The proposed framework consists of hybrid convolutional neural network and bidirectional long short term memory network to extract multi-scale spatiotemporal features of high-dimensiona...

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This paper presents a new powerful iterative method for solving large and sparse linear systems. Using the idea of theJaya method to the restarted generalized minimum residual (GMRES) method, we propose the Jaya-GMRES method.The JayaGMRES is an efficient solver, being based mainly on matrix-vector m...

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