Federated learning optimization algorithm based on incentive mechanism by Youliang TIAN, Shihong WU, Ta LI, Lindong WANG, Hua ZHOU

“…Federated learning optimization algorithm based on incentive mechanism was proposed to address the issues of multiple iterations, long training time and low efficiency in the training process of federated learning.Firstly, the reputation value related to time and model loss was designed.Based on the reputation value, an incentive mechanism was designed to encourage clients with high-quality data to join the training.Secondly, the auction mechanism was designed based on the auction theory.By auctioning local training tasks to the fog node, the client entrusted the high-performance fog node to train local data, so as to improve the efficiency of local training and solve the problem of performance imbalance between clients.Finally, the global gradient aggregation strategy was designed to increase the weight of high-precision local gradient in the global gradient and eliminate malicious clients, so as to reduce the number of model training.…”
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Automatic Synthesis Algorithm of Topological Structure of Series Mechanism by Liu Xiaoshan, Luo Yufeng, Shi Zhixin, Wang Gang, Xia Yongqiang

“…Then,the locations relationships among kinematic pairs are thoroughly enumerated by using the method of exhaustion,the automatically solving of position and orientation characteristics set is realized by using algorithm,the mechanism that meet the requirement is selected,and the GUI human-computer interaction interface is designed. …”
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Federated learning optimization algorithm based on incentive mechanism by Youliang TIAN, Shihong WU, Ta LI, Lindong WANG, Hua ZHOU

“…Federated learning optimization algorithm based on incentive mechanism was proposed to address the issues of multiple iterations, long training time and low efficiency in the training process of federated learning.Firstly, the reputation value related to time and model loss was designed.Based on the reputation value, an incentive mechanism was designed to encourage clients with high-quality data to join the training.Secondly, the auction mechanism was designed based on the auction theory.By auctioning local training tasks to the fog node, the client entrusted the high-performance fog node to train local data, so as to improve the efficiency of local training and solve the problem of performance imbalance between clients.Finally, the global gradient aggregation strategy was designed to increase the weight of high-precision local gradient in the global gradient and eliminate malicious clients, so as to reduce the number of model training.…”
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Successive algorithm for construction of equation of motion of constrained mechanical systems by Dinh Van Phong

“…For illustration of consequent steps of the algorithm one simple example is shown. …”
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Translation Mechanism of Neural Machine Algorithm for Online English Resources by Yanping Ye

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Improved Epidemic algorithm based on trust mechanism in opportunistic networks by Guang-hua ZHANG, Shao-bo PANG, Yao-hong YANG, Zhen-guo CHEN

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Analysis and Optimization of Flapping-Wing Mechanism Based on Genetic Algorithm by Yunyu Ling, Benyou Liu, Hongxin Zhang, Lan Bo, Mingjie Liu

“…Inspired by the wing-flapping action of birds, this study considers the inherent dynamics among vehicle mechanisms to optimize the vehicle’s geometric parameters. …”
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Music Genre Classification Algorithm Based on Multihead Attention Mechanism by Peng Cheng

“…A music genre classification algorithm model based on the multihead attention mechanism is constructed. …”
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Multiobject Detection Algorithm Based on Adaptive Default Box Mechanism by Jinling Li, Qingshan Hou, Jinsheng Xing

“…Aiming at the shortcomings of the SSD algorithm, an improved algorithm based on the adaptive default box mechanism (ADB) is proposed. …”
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Ebbinghaus forgetting curve and attention mechanism based recommendation algorithm by Nan JIN, Ruiqin WANG, Yuecong LU

“…Traditional attention-based recommendation algorithms only use position embeddings to model user behavior sequences, however, ignore specific timestamp information, resulting in poor recommendation performance and overfitting of model training.The multi-task matrix factorization recommendation model based on time attention was proposed, which used the attention mechanism to extract the neighborhood information for the user and item embedding, and used the Ebbinghaus forgetting curve to describe the changing characteristics of user interests over time.The model training process introduced a reinforcement learning strategy of experience replay to simulate the human memory review process.Experimental results on real datasets show that the proposed model has better recommendation performance than existing recommendation models.…”
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Development of an Algorithm to Determine the Most Efficient Trajectories in Directional Wells by R.R. Francisco, M. Bertuzzi, G.V.V. Ramlov, L.A. Alves, C.E. Metzler

“…We present the development of an algorithm designed to determine the most efficient trajectories for directional wells, a key method used in oil and gas extraction. …”
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Adaptive bandwidth allocation algorithm based on the multi-threshold reservation mechanism by Geng CHEN, Wei-wei XIA, Lian-feng SHEN

“…An adaptive bandwidth allocation algorithm based on multi-threshold reservation mechanism is proposed to guarantee the quality of service (QoS) of multi-services in heterogeneous wireless networks.With the bandwidth reserva-tion mechanism by setting multi-threshold in each network for every traffic,the adaptive bandwidth allocation scheme according to the transmission rate levels requirements for traffic k and the network status can be formulated as an optimal problem with the constraints of the bandwidth allocation matrix for each traffic and all users based on the multi-homing technology.A procedure of the iterative method is presented to solve the optimal problem of the formulated adaptive bandwidth allocation scheme.The optimized bandwidth allocation matrixes for traffics and for all users are obtained for the real-time network throughput maximization under bandwidth reserving thresholds and network capacity constrains and the bandwidth resource utilization efficiency of heterogeneous wireless network can be increased.Numerical simula-tion results show that the proposed algorithm can support QoS requiring transmission rate grades,decrease the new call blocking probability,increase the average user access rate and improve the network throughput of the heterogeneous wireless network by 40% to the largest extent.…”
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Retracted: Multiobject Detection Algorithm Based on Adaptive Default Box Mechanism by null Complexity

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ANTI-SWAY CONTROL OF HOISTING-AND-TRANSPORT MECHANISM USING FUZZY ALGORITHM by O. A. Shvedova, A. S. Shmarlouski, A. V. Markov, T. V. Tarasevich

“…The algorithms to suppress oscillations that occur during the movement of payload by hoisting-and-transport mechanism are presented. …”
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Reinforcement learning:toward action-knowledge merged intelligent mechanisms and algorithms by Fei-Yue WANG, Dongpu CAO, Qinglai WEI

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Crack Recognition Algorithm Integrating Attention Mechanism and Region Growth Method by LING Xiaokang, ZHAN Jie, MA Jianfei

“…To optimize traditional crack identification methods,improve the robustness and accuracy of the crack identification method,and realize automatic crack identification,this paper proposes a crack recognition algorithm integrating attention mechanism and region growth.It establishes dynamic thresholds and obtains the crack results under different thresholds by employing the region growth method.The attention mechanism is introduced to assign different weight coefficients to each pixel of the image according to the crack identification under dynamic thresholds for more accurate crack recognition results.Finally,the characteristic information of cracks is determined by the length of the crack skeleton and the area occupied by the crack region (length and average width of the crack).Through verifying field crack images,the results show that the crack characteristic information identified by the crack identification method integrating attention mechanism and region growth is basically consistent with the actual crack characteristics.The method features strong robustness and identification accuracy,which provides support for engineering health monitoring.…”
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Multi-Target Detection Algorithm for Fusion Images Based on an Attention Mechanism by Zhenge Qu, Zhuoning Dong, Yuxin Guo, Hui Ren, Hongyang Fu

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Adaptive Differential Evolution Algorithm for Forward Position Solution of Parallel Mechanism by Yi Jian

Subjects: “…Parallel mechanism…”
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Pulmonary Nodules Detection Algorithm Combining Multi-view and Attention Mechanism by LIU Yu-bo, LIU Guo-zhu, SHI Cao, XU Can-hui

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Comparative Study of Modern Differential Evolution Algorithms: Perspectives on Mechanisms and Performance by Janez Brest, Mirjam Sepesy Maučec

“…We examine the mechanisms integrated into them and compare the performance of algorithms. …”
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