A Novel Hybrid Analysis Method of LLC Resonant Converter for High Accuracy and Low Computational Burden by Su-Seong Park, Rae-Young Kim

“…To verify the effectiveness of the proposed method, a 1kW LLC resonant converter prototype is used, and the efficiency and temperature estimation accuracy of the proposed method are measured under various capacity conditions, input and output voltage conditions, resonant network conditions, and load conditions. …”
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Optimal Structural Parametric Design of Permanent Magnet Eddy-current Couplers Based on the Dimensional Analysis Method by Yang Chaojun, Ma Chao, Gu Lixiang, Sun Xianyou, Liang Xinghai, Wang Jian

“…In light of the problem of complex and diverse parameters and low optimization efficiency in the performance optimization of a solid disk permanent magnet eddy-current coupler, the dimensionless parameters of the disk permanent magnet eddy-current coupler were derived according to the dimensional analysis method. …”
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Evaluation of machine learning methods for forecasting turbidity in river networks using Sentinel-2 remote sensing data by Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi

“…Turbidity is an important indicator of river water quality and of great interest to improve the data acquisition methods and efficiency of decision support systems for sustainable ecosystem management. …”
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PSO-based speed and power allocation strategy collaborative optimization method for hydrogen fuel cell ships by Ning WANG, Zhiqiang LI

“…A speed-hydrogen consumption model of a fuel cell ship is constructed by ship navigation resistance analysis and the equivalent hydrogen consumption idea. The optimization method of inheritance-link between voyage segments is designed by taking acceleration as the optimization parameter, then PSO is used to optimize the ship's speed and fuel cell output power.ResultsThe results show that the proposed speed and power allocation strategy collaborative optimization method reduces hydrogen consumption by 3.85% and 1.99% respectively compared with the original speed and traditional speed segmentation optimization method.ConclusionsThe proposed method can effectively improve the sailing energy efficiency of short-range ships and resolve the defect of the speed ladder allocation of traditional segmental optimization, providing useful references for the popularization and application of hydrogen fuel cell ships.…”
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Theoretical Calculation of Heat and Material Balance for Oil Sludge Pyrolysis Process by Solid Heat Carrier Method by Zhengyang Zhang, Yue Ma, Fengzhi Guo, Changtao Yue

“…The total input heat and output heat were 13.65 GJ and 10.04 GJ. The loss was 3.61 GJ and the thermal efficiency was 73.6%.…”
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Functional control of the technical condition method for aircraft control system sensors under complete parametric uncertainty by J. V. Bondarenko, E. Yu. Zybin

“…The efficiency of the method is shown on the Boeing 747–100/200 longitudinal model example. …”
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Structural Dynamics Analysis of a Large Aperture Space Telescope Based on the Linear State Space Method by Bin Ma, Zongxuan Li, Lin Li, Yunfeng Li, Youhan Peng, Shuhui Ren, Qingya Li, Jiakun Xu

“…The balanced reduction method under state space representation provides a new method for studying the dynamics of lightweight opto-mechanical structures. …”
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Coordinated Optimization Method for Distributed Energy Storage and Dynamic Reconfiguration to Enhance the Economy and Reliability of Distribution Network by Caihong Zhao, Qing Duan, Junda Lu, Haoqing Wang, Guanglin Sha, Jiaoxin Jia, Qi Zhou

“…First, a scenario-generation method is developed based on Latin hypercube sampling and Kantorovich distance synchronous back-substitution reduction is used to obtain the typical scenario of wind and solar output. …”
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A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

“…This study focuses on integrated energy systems with massive flexible load resources, aiming to maximize energy utilization efficiency while reducing environmental impact.Methods: To model the uncertainties in wind and solar power outputs, we employed three-parameter Weibull distribution models and Beta distribution models. …”
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Designing the optimal number of active branches in a multi-branch buck-boost converter by I. Kovacova, D. Kovac

“…Critical, however, is the question of the appropriate number of branches for optimal efficiency and the given output power of the converter. …”
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Two-stage prediction of drift ratio limits of corroded RC columns based on interpretable machine learning methods by Yan Zhou, Yizhi Qiu, Liuzhuo Chen

“…The proposed DNN model is capable of concurrently outputting multiple DRLs while balancing the accuracy and efficiency, and signifies a notable advancement beyond traditional methodologies for estimating the lateral deformation capacity of CRCCs.…”
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Development of Sub-channel Program and Multi-objective Optimization Method Research for Printed Circuit Heat Exchanger by CHEN Liqin, HUO Honglei, XIE Renyao, YANG Yi

“…The performance of the regenerator directly affects the conversion efficiency of the Brayton cycle system. The printed circuit heat exchanger (PCHE) is a microchannel heat exchanger with a hydraulic diameter usually in the range of 0.5-2.0 mm. …”
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Lipid-Polymer Hybrid Nanoparticles as a Smart Drug Delivery System for Peptide/Protein Delivery by Alharith A. A. Hassan, Eslam Ramadan, Katalin Kristó, Géza Regdon, Tamás Sovány

“…Moreover, the material attributes and critical process parameters affecting the output of the preparation methods were illustrated with supporting examples to enable researchers to select the suitable preparation method, excipients, and parameters to be manipulated to get the LPHNs with the predetermined quality. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

“…In recent years, due to high self-learning and self-optimization ability, reinforcement learning has emerged in the field of economic dispatch, which can solve model-free dynamic programming problems that cannot be effectively solved by traditional optimization methods. In this paper, we construct a reinforcement agent for intra-day dispatch to optimize generator output, using a twin delayed deep deterministic policy gradient algorithm based on pre-training and expert knowledge (PEK-TD3). …”
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A DEA-based Malmquist Productivity Index for Analysing University Performance and Competitiveness by Olena Brintseva

“…The use of input and output indicators, which characterise the didactic and research activities of universities and affect their efficiency, has been justified. …”
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A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models by B. M. Duran, C. J. Wall, C. J. Wall, N. J. Lutsko, T. Michibata, P.-L. Ma, Y. Qin, M. L. Duffy, M. L. Duffy, B. Medeiros, M. Debolskiy

“…Here, we develop a new, computationally efficient method for estimating the shortwave (SW) ERFaci from liquid clouds using histograms of monthly averaged cloud fraction partitioned by cloud droplet effective radius (<span class="inline-formula"><i>r</i>_e</span>) and liquid water path (LWP). …”
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Comparative analysis of maximum power point tracking methods for power optimization in grid tied photovoltaic solar systems by Abubakar Elsafi, Akram A. Almohammedi, Mohammed Balfaqih, Zain Balfagih, Saeed Sabri

“…Under varying irradiance (1000–250 W/m2) and temperature (25–50 °C) conditions, I&C algorithm achieved a higher MPPT tracking efficiency of approximately 98.7%, compared to 95.2% for the P&O method. …”
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M²UNet: Multi-Scale Feature Acquisition and Multi-Input Edge Supplement Based on UNet for Efficient Segmentation of Breast Tumor in Ultrasound Images by Lin Pan, Mengshi Tang, Xin Chen, Zhongshi Du, Danfeng Huang, Mingjing Yang, Yijie Chen

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PARALLEL ALGORITHM FOR CALCULATING GENERAL EQUILIBRIUM IN MULTIREGION ECONOMIC GROWTH MODELS by Nikolai B. Melnikov, Arseniy P. Gruzdev, Michael G. Dalton, Brian C. O'Neill

“…Calculation of prices and input-output ratios in production for different time steps is carried out in parallel. …”
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Green finance and carbon emission efficiency under the constraint of economic growth targets: a spatial econometric and threshold effect study based on 30 provinces in mainland Chi... by Juncheng Jia, Xinyuan Yu, Kun Lv, Kun Lv

“…This paper employs the Super-SBM method and the entropy method to measure the carbon emission efficiency and green finance index of 30 provinces, municipalities, and autonomous regions (excluding Tibet) in mainland China from 2011 to 2023. …”
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