Forced Vibration Analysis of Laminated Composite Plates under the Action of a Moving Vehicle by Hossein Abbaszadeh Mobaraki, Ramazan-Ali Jafari-Talookolaei, Paolo S. Valvo, Reza Haghani Dogaheh

“…Using the Euler-Lagrange equations, the system of coupled equations of motion is extracted and solved by using the Newmark time discretization scheme. The algorithm is validated through the comparison of both the free and forced vibration results provided by the present model and exact or numerical results reported in the literature. …”
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Legged odometry based on fusion of leg kinematics and IMU information in a humanoid robot by Huailiang Ma, Aiguo Song, Jingwei Li, Ligang Ge, Chunjiang Fu, Guoteng Zhang

“…Aiming at solving the positioning problem of humanoid robots, we have designed a legged odometry algorithm based on forward kinematics and the feed back of IMU. …”
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Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering by Erenay Karacan, Yanbin Chen, Christian B. Mendl

“…One of the main challenges of such quantum algorithms is increasing the system size, which is necessary to achieve meaningful quantum advantage. …”
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Maintaining Wireless Connectivity Constraints for Robot Swarms in the Presence of Obstacles by Joel M. Esposito

“…A potential field-based optimization algorithm is provided, along with a novel composition scheme, and its operation is demonstrated through both simulation and experimentation on a group of small robots.…”
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Driver Fatigue Detection Method Based on Human Pose Information Entropy by Taiguo Li, Tiance Zhang, Yingzhi Zhang, Liben Yang

“…Information entropy and sliding window algorithm are applied to analyse and calculate sufficient consecutive video frames to obtain more robust and accurate fatigue-related values than by using a single frame. …”
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Study of Suspension Parameters Matching to Enhance Vehicle Ride Comfort on Bump Road by Jin Gao, Xiaoping Qi

“…Finally, the vehicle ride comfort is enhanced after optimization and matching of the suspension parameters by NSGA-II optimization algorithm.…”
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A large synthetic dataset for machine learning applications in power transmission grids by Marc Gillioz, Guillaume Dubuis, Philippe Jacquod

“…This manuscript presents a large synthetic dataset of power injections in an electric transmission grid model of continental Europe, and describes the algorithm developed for its generation. The method allows one to generate arbitrarily large time series from the knowledge of the grid – the admittance of its lines as well as the location, type and capacity of its power generators – and aggregated power consumption data, such as the national load data given by ENTSO-E. …”
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Fault Diagnosis of Crane Gearbox based on Variational Mode Decomposition and PSO-SVM by Wubang Yang, Bingpeng Gao, Fei Chen, Xinghe Zhang, Weidong Ma

“…The experimental results show that the SVM model based on VMD improved wavelet signal preprocessing and PSO algorithm has high recognition accuracy and can effectively and accurately identify and classify the fault types of the crane gearbox.…”
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Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors by Guimei Zheng, Jun Tang

“…The proposed angle estimation algorithm can be applied to the arbitrary and unknown array configuration, which can be summarized as follows. …”
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Generative text steganography method based on emotional expression in semantic space by Yuling LIU, Cuilin WANG, Zhangjie FU

“…Aiming at the problems that “over optimizing” the quality of steganographic text and lack of constraints on the semantic expression of the generated steganographic text in existing generative text steganography methods, a generative text steganography method was proposed based on emotional expression in semantic space.In order to make use of the scene fusion provided by the new media platform to obtain many camouflage scenes, the focus was how to use the unsupervised extraction model to extract the emotional expression combination candidate set from the original data set, then sort the candidate set of emotional expression combinations based on the improved bipartite graph sorting algorithm to obtain the emotional expression combination set, map them to the semantic space, and then implement embedding secret information while generating the user’s opinions based on the emotion expression combinations.Experimental results show that, compared with the existing generative text steganography methods in semantic space, the product reviews generated by the proposed method have a minimum perplexity of 10.536, and have a strong correlation with the chosen product, which can further guarantee the cognitive concealment of steganographic texts.At the same time, the proposed method can also be effectively used in the field of secure and confidential communication, and can avoid the senders being traced and analyzed.…”
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RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES by HU QiGuo, DU ChunChao, CAO LiJie, SHENG HuiMin

“…Combining the characteristics of interval fuzzy subsets and Bayesian networks, a solution algorithm for leaf node failure probability, interval fuzzy importance, and interval fuzzy posterior probability is obtained under the condition of knowing only the root node failure status. …”
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Dynamic Modeling and Parameters Optimization of Large Vibrating Screen with Full Degree of Freedom by Xiaodong Yang, Jida Wu, Haishen Jiang, Wenqiang Qiu, Chusheng Liu

“…Further, the genetic algorithm is used to optimize the established neural network model, and the optimal design parameters are obtained.…”
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Optimizing Product Configuration Problems with Multisourcing Supplier Selections under Both Carbon Cap and Carbon Tax Regulations by Jia Li, Dong Yang

“…A two-stage approach that combines both Particle Swarm Optimization (PSO) and a greedy algorithm is presented to solve the product configuration problems with carbon emission concerns. …”
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Impact of Background Traffic on Speech Quality in VoWLAN by Peter Počta, Peter Kortiš, Martin Vaculík

“…The primary goal of these algorithms is improving speech quality in the VoWLAN connections, which are established in the competent link.…”
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Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques. by Hilman Nordin, Bushroa Abdul Razak, Norrima Mokhtar, Mohd Fadzil Jamaludin, Adeel Mehmood

“…Results indicate that both methods improve the accuracy and precision of mold defect detection compared to no classifier. However, the CART algorithm exhibits superior performance, increasing precision by 32% to 53% while maintaining high accuracy (96%) even with an imbalanced dataset. …”
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Stability and Convergence of an Effective Numerical Method for the Time-Space Fractional Fokker-Planck Equation with a Nonlinear Source Term by Qianqian Yang, Fawang Liu, Ian Turner

“…Approximating the CTFD and RSFD using the L1-algorithm and shifted Grünwald method, respectively, a computationally effective numerical method is presented to solve the TSFFPE-NST. …”
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Geometric Lattice Structure of Covering and Its Application to Attribute Reduction through Matroids by Aiping Huang, William Zhu

“…Geometric lattices have been widely used in many fields, especially greedy algorithm design which plays an important role in the reduction problems. …”
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Geometric Regularized Hopfield Neural Network for Medical Image Enhancement by Fayadh Alenezi, K. C. Santosh

“…As a result, it enhances edges, information content, contrast, and resolution. The proposed algorithm was tested on fifteen different medical images, where evaluations were made based on entropy, visual information fidelity (VIF), weighted peak signal-to-noise ratio (WPSNR), contrast, and homogeneity. …”
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Balancing Treatment Allocation over Continuous Covariates: A New Imbalance Measure for Minimization by Yanqing Hu, Feifang Hu

“…In addition, we developed an efficient algorithm to implement the new procedure. By simulation studies we show that the new procedure is able to keep good balance properties in comparison with other popular designs.…”
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DEEP-SEA LANDING VEHICLE SHAPE DRAG ANALYSIS AND BOW MODELED LINE OPTIMIZATION DESIGN (MT) by ZHANG ZiYao, ZHOU Yue, SUN Yu, LAN YanJun, GUO Wei

“…The optimal latin Hypercube method is used to select sample points for the direct navigation resistance calculation, an approximate model of design variable-resistance was established based on the radial basis function neural network, and the optimal design of landing vehicle bow modeled line was carried out by using the adaptive simulated annealing algorithm. The optimized resistance is reduced by 14.24%, and the hydrodynamic performance is improved. …”
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