Lightweight Design and Dynamics Analysis of ZYL-15000D Directional Drill Reducer by Xiaohong Zhao, Xianguo Yan, Zhi Chen, Hang Su

“…This paper selects the method of reducing the transmission ratio to optimize the size parameters of the reducer. MATLAB genetic algorithm is used in the optimization design, and the minimum volume of the rotary part reducer is taken as the objective of optimization design, while the design variables and constraints are determined. …”
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Efficient optimisation of physical reservoir computers using only a delayed input by Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar

“…Abstract Reservoir computing is a machine learning algorithm for processing time dependent data which is well suited for experimental implementation. …”
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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION by REN Taizhu, FAN Jun, JIANG Xiaxin

“…Then, two methods of obtaining valve opening and closing points and load variation characteristics were proposed, and 54 new features of global faults of pumping units were extracted, and the characteristic database of working conditions of the pumping unit was established.Finally, the algorithm of decision tree, logistic regression and support vector machine was used to verify that the feature database has good classification effect under different working conditions. …”
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Load balancing multipath routing protocol for mass remote sensing data downlink in LEO satellite network by Pei-long LIU, Hong-yu CHEN, Song-jie WEI, Hao CHENG, Shuai LI, Jun-yong WANG

“…LEO satellite networks can provide seamless real-time data communication for all kinds of users,which developed rapidly in recent years.At the mean time,the massive payload data down-link system of space data sources,such as remote sensing satellites,still make use of traditional storage and forward mode.The real-time performance of space mission data will be improved effectively,if such satellites are connected to LEO satellite networks equipped with inter satellite links.However,it is necessary to design a specialized satellite network load balancing routing algorithm.Satellite parallel edge-disjoint multipath routing protocol (SPEMR) was designed for remote sensing satellite real-time down-link applications.OPNET simulation results indicate that the performance degradation index(DI) of the multipath scheme implemented by SPEMR is 0.32,which is only 32% of the TLR and 21% of the traditional DSP scheme.It is demonstrated that SPEMR has the better capability of transmitting massive data in real time.…”
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Detection of opening motion characteristics in DC circuit breakers based on machine vision. by Zhaoyu Ku, Jinjin Li, Dongheng Li, Huajun Dong

“…The captured images are preprocessed, with coarse edges extracted using the Laplacian algorithm. Franklin moment convolution calculations are then applied to determine sub-pixel coordinates of the image edges based on these coarse edges. …”
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A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation by Guo-hua Wang, Yu-fa Sun

“…The compressive sensing (CS) technique is firstly introduced to the method of moment (MoM) to reduce the number of the right-hand sides (RHS), but since the resulting excitation matrix contains linear dependency and has low-rank characteristics, the adaptive cross approximation (ACA) algorithm is used to recompress such excitation matrix, keeping only the necessary physical information. …”
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Research on multimodal social media information popularity prediction based on large language model by WANG Jie, WANG Zitong, PENG Yan, HAO Bowen

“…To address the limitations of strong feature dependency, insufficient generalization, and inadequate performance in few-shot/cold-start settings in existing multimodal social media popularity prediction algorithms, a MultiSmpLLM model based on large language model with instruction fine-tuning and human alignment was proposed. …”
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Vision-Based Tracking of Uncooperative Targets by Suresh K. Kannan, Eric N. Johnson, Yoko Watanabe, Ramachandra Sattigeri

“…An additional piece of information, the subtended angle, also available from computer vision algorithm is used to improve range estimation accuracy. …”
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Cooperative Tracking Control of the Multiple-High-Speed Trains System Using a Tunable Artificial Potential Function by Zhiwu Huang, Pingping Wang, Feng Zhou, Weirong Liu, Jun Peng

“…In this paper, a novel cooperative tracking control based on a consensus algorithm and artificial potential field theory is proposed to realize the train tracking within a distance range. …”
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Cooperative Coevolution with Two-Stage Decomposition for Large-Scale Global Optimization Problems by H. D. Yue, Y. Sun

“…Experiments show that CC with TSD is a competitive algorithm for solving LSGO problems.…”
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Optimizing PID Controller Design for Rotor Systems Suspended by Active Magnetic Bearings by Ibrahim Abubakar, Atte Putkonen, Marek Rehtla, Tuomo Lindh, Stijn Derammelaere, Niko Nevaranta

“…Therefore, a multiobjective genetic algorithm optimization is proposed in this paper to seek an optimal configuration for the controller parameters. …”
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An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application by Shuanghua Liu, Qin Qi, Zhiming Hu

“…In order to promote the efficacy of the optimised model, we apply the whale optimization algorithm (WOA) to ascertain its optimal parameter. …”
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Recurrences Reveal Shared Causal Drivers of Complex Time Series by William Gilpin

“…We introduce a physics-based unsupervised learning algorithm that reconstructs causal drivers by iteratively building a recurrence graph with glasslike structure. …”
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Local System Matrix Compression for Efficient Reconstruction in Magnetic Particle Imaging by T. Knopp, A. Weber

“…In the present work, it is shown that the image quality of the algorithm can be considerably improved by using a local threshold for each matrix row instead of a global threshold for the entire system matrix.…”
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Design of shuffling protocol based on additive secret sharing by ZHANG Yanshuo, MAN Ziqi, ZHOU Xingyu, YANG Yatao, HU Ronglei

“…The share conversion algorithm was constructed through the casual transfer protocol, and the shuffling was completed without exposing the original data set. …”
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Stochastic Portfolio Selection Problem with Reliability Criteria by Xiangsong Meng, Lixing Yang

“…The equivalent linear (mixed integer) programming models are also deduced for different evaluation strategies. A genetic algorithm with a polishing strategy is designed to search for the approximate optimal solutions of the proposed models. …”
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Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure by Mary Luz Mouronte-López, Marta Subirán

“…We also find that the process of emergence of new links in the interaction networks can be properly modeled (with high accuracy) through a Support Vector Machine model using the embeddings provided by the Node2Vec algorithm. A Random Forest model using certain similarity measures as explanatory variables between nodes also provides high accuracy. …”
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Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion by Hongmei Chen, Yuanhang Zhang

“…The results show that both the model and algorithm are reliable and effective; thus, travel efficiency can be effectively improved and traffic jams can be alleviated.…”
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Ear Recognition Based on Gabor Features and KFDA by Li Yuan, Zhichun Mu

“…The ear detection approach based on improved Adaboost algorithm detects the ear part under complex background using two steps: offline cascaded classifier training and online ear detection. …”
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Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM by Huang Ying, Li Ximei, Ye Renhu, Wang Rui

“…Then the PE value with component (C-PE value) is calculated to obtain the multi-scale characteristics of vibration signals. Then the genetic algorithm is used to optimize the least squares support vector machine (LSSVM). …”
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