Research on the eLoran/GNSS Combined Positioning Algorithm and Altitude Optimization by Man Yang, Baorong Yan, Chaozhong Yang, Xiang Jiang, Shifeng Li

“…(c) Verifying the correctness of the algorithm through simulation analysis, exploring the impact of errors on the algorithm, and evaluating whether the correction of altitude contributes to improving positioning accuracy. …”
Get full text

Robust Photovoltaic Power Forecasting Model Under Complex Meteorological Conditions by Yuxiang Guo, Qiang Han, Tan Li, Huichu Fu, Meng Liang, Siwei Zhang

“…However, traditional PV power forecasting models designed for distributed PV power stations often struggle with accuracy due to unpredictable meteorological variations, data noise, non-stationary signals, and human-induced data collection errors. To effectively mitigate these limitations, this work proposes a dual-stage feature extraction method based on Variational Mode Decomposition (VMD) and Principal Component Analysis (PCA), enhancing multi-scale modeling and noise reduction capabilities. …”
Get full text

CORRECTION OPTIMIZATION ON DAMAGE CONSTITUTIVE MODEL BASED ON D-P CRITERION by ZHAO Pan, WU KaiSong, WU Bo, XI QinYang

Get full text

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

Get full text

Control of Rock Block Fragmentation Based on the Optimization of Shaft Blasting Parameters by Qingxiang Li, Zhanyou Luo, Man Huang, Jiangbo Pan, Guoshu Wang, Yunxin Cheng

Get full text

Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…The problem is approached in two distinct ways: (1) optimization of 15 designated QoIs, such as the latitude and magnitude of the African rain belt or African easterly jet, using existing surrogate models and (2) optimization of twelve 2D meteorological output fields, such as precipitation, cloud cover, and pressure, using new surrogate models that employ principal component analysis. …”
Get full text

Topology optimization of a cargo gripper design using the minimum effort principle by Gnezdilov S.G.

“…The left gripper arm, subjected to complex loading conditions, is selected as the optimization object. A methodology is proposed that simplifies computational models by eliminating unknown external forces through the rational application of constraints, thereby reducing computational complexity and minimizing the risk of errors. …”
Get full text

Prediction Analysis of Pre-Camber for Continuous Girder Bridge Cantilever Casting Construction Based on DBO-CNN-BiLSTM-Attention Neural Network by Jinyang Zhang, Haiqing Liu, Xiangen Gong, Ming Lei, Zimu Chen

Get full text

Assessing Computational Complexity in Selecting Periods for LMDI Techniques in Energy‐Related Carbon Dioxide Emissions: An Alternative Approach by Juan David Rivera‐Niquepa, Jose M. Yusta, Paulo M. De Oliveira‐De Jesus

“…The methodology comprises two stages: the first generates an exhaustive list of possible time series partitions, and the second determines the optimal partition by minimizing the total mean square error (TMSE) using sequential linear models. …”
Get full text

Effect of onboard superconducting magnet length on the levitation characteristics of electrodynamic levitation train by WU Dingding, HUANG Huan, YUAN Yuhang, ZHENG Jun, CAI Chengbiao, DENG Zigang

Get full text

Evaluation of the application value of simple foot immobilization device in rectal cancer radiotherapy based on CBCT image-guided technology by Lihua GUAN, Yong HU

“…ObjectiveTo explore the application value of the simple foot immobilization device in radiotherapy for rectal cancer based on the inter-fractional setup error acquired by image-guided technology of cone beam computed tomography (CBCT). …”
Get full text

Multi-Objective Optimal Scheduling of Water Transmission and Distribution Channel Gate Groups Based on Machine Learning by Yiying Du, Chaoyue Zhang, Rong Wei, Li Cao, Tiantian Zhao, Wene Wang, Xiaotao Hu

“…Venant’s system of equations is built to generate the feature dataset, which is then combined with the random forest algorithm to create a nonlinear prediction model. An example analysis demonstrates that the optimal feedforward time of the open channel gate group is negatively connected with the flow condition and that the method can manage the water distribution error within 13.97% and the water level error within 13%. …”
Get full text

Nonlinear Adaptive Optimal Control Design and Implementation for Trajectory Tracking of Four-Wheeled Mecanum Mobile Robots by Yung-Hsiang Chen

“…Based on an in-depth analysis of the trajectory tracking error dynamics, a closed-form adaptive control law is analytically derived from the highly complex nonlinear dynamic system equations. …”
Get full text

A New Numerical Approach for Solving Fractional Optimal Control Problems with the Caputo–Fabrizio Fractional Operator by Sara Ghaderi, Sohrab Effati, Aghileh Heydari

“…The operational matrices (OMs) of left and right CF fractional integrals are also derived for the Chebyshev cardinal functions. Error estimation and convergence analysis of the method are also introduced. …”
Get full text

Optimal Rate of Convergence for a Nonstandard Finite Difference Galerkin Method Applied to Wave Equation Problems by Pius W. M. Chin

“…We show that, for sufficiently smooth solution, the maximal error in the L2-norm possesses the optimal rate of convergence O(h2+(Δt)2) where h is the mesh size and Δt is the time step size. …”
Get full text

Prediction of Rail Wear Under Different Railway Track Geometries Using Artificial Neural Networks by Hong Zhang, Weichen Shuai, Linya Liu, Pengfei Zhang, Kejun Zhang, Hongsong Lin, Yuke Zhang, Wei Li

“…Compared with the conventional ANN model, the PSO-ANN model reduces the prediction errors by 22.54% for inner rail wear and 55.69% for outer rail wear. …”
Get full text

Data transmission optimization algorithm for network utility maximization in wireless sensor networks by Chengtie Li, Jinkuan Wang, Mingwei Li

“…We prove the effectiveness by the theory analysis at the stability of the transmission rate and error ratio. …”
Get full text

Optimal allocation of ESSs in distribution networks considering uncertainties of battery capacity fading and operation strategies correlation by Jiazhi Lei, Zhao Liu

“…Firstly, the capacity fading calculation error by semi empirical formula was modelled by distribution method and interval method according to experimental data analysis. …”
Get full text

Study on Gear Whine of Hybrid Power System based on Contact Patch and Micro Modification by Zhuokai Peng, Jing Liu, Fei Xiong, Dan Wei

“…Gear whine noise of one hybrid power system is analyzed and optimized. Based on test noise order analysis， the main noise source is found. …”
Get full text

A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements by Zheng Zeng, Linkai Tao, Hangyu Zhu, Yunfeng Zhu, Long Meng, Jiahao Fan, Chen Chen, Wei Chen

“…Results: Experimental results showed that the promising performance was achieved both in the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) within a wide gaze that ranges from −50° to +50°. …”
Get full text