IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL by CHEN XiaoMing, LAI XiDe, TANG Jian, ZHU Li, ZHAO Xi

“…In this paper,two algorithms are proposed for solving these disadvantages. …”
Get full text

Interference Mitigation and Collision Avoidance of Dynamic UAVBSs Network via Mobility Control: A Game Theoretic Approach by Omar Ali Thabet, Didem Kivanc Tureli, Ufuk Tureli

“…The Utility-Driven Partial Synchronous Learning (UDPSL) algorithm speeds up convergence by using a learning algorithm. …”
Get full text

Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny by Yuyang Miao, Xihan Wang, Ning Zhang, Kai Wang, Lianhe Shao, Quanli Gao

“…To address the issues of missed and false detections caused by small object sizes, dense object distribution, and complex scenes in drone aerial images, this study proposes a drone-view object-detection algorithm based on YOLOv7-tiny with a Partial_C_Detect detection head. …”
Get full text

Harris Hawks Optimization for Soil Water Content Estimation in Ground-Penetrating Radar Waveform Inversion by Hanqing Qiao, Minghe Zhang, Maksim Bano

“…To further validate our approach, the results of the HHO algorithm are also compared with those of partial swarm optimization (PSO) and grey wolf optimizer (GWO). …”
Get full text

Spectral Approximation of an Oldroyd Liquid Draining down a Porous Vertical Surface by F. Talay Akyildiz, Mehmet Emir Koksal, Nurhan Kaplan

“…An efficient and accurate algorithm based on the Fourier-Galerkin approximations for the governing system of quasilinear partial differential equations is developed and implemented. …”
Get full text

Reconstruction of linear block code parity-check matrix based on fault-tolerant Gaussian elimination by WANG Zhongyong, ZHANG Hong, GONG Kexian, WANG Wei, ZHANG Ling, ZHU Junhao

“…Finally, according to whether the codeword bits could pass through the known parity-check vectors, the absolute values of the bit log-likelihood ratios were updated to further improve the bit reliability, bringing gains for the next random sampling of partial bits. The simulation results showed that, under the same identification conditions, the reconstruction rate of the proposed algorithm is higher than that of the existing algorithms. …”
Get full text

RETRACTED ARTICLE: Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system by K. Krishnaram, T. Suresh Padmanabhan, Faisal Alsaif, S. Senthilkumar

“…Implementation of a hybrid algorithm by integrating P&O and metaheuristic algorithms can perform better under partial shading conditions. …”
Get full text

Fault-tolerant formation control of heterogeneous multi-agent systems with unknown inputs and external disturbances by Yandong Li, Yongan Liu, Ling Zhu, Yuan Guo

“…Considering the fault-tolerant control problem of directed topology HMAS with actuator partial loss of effectiveness (PLOE) faults and interrupt faults, a control allocation algorithm that does not require controller reconstruction is introduced. …”
Get full text

A novel n-L1 image restoration approach by Lufeng Bai

“…This article presents a variational image restoration model and an accelerated algorithm to recover a clear image from a noisy and blurred version. …”
Get full text

Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…To evaluate the effectiveness of the proposed method, we compare it with five baseline algorithms: the improved grey wolf optimizer metaheuristic algorithm, the traditional genetic algorithm, the binary offloading decision mechanism, the partial non-cooperative mechanism, and the fully local execution mechanism. …”
Get full text

Target Tracking via Particle Filter and Convolutional Network by Hongxia Chu, Kejun Wang, Xianglei Xing

“…We propose a more effective tracking algorithm which can work robustly in a complex scene such as illumination, appearance change, and partial occlusion. …”
Get full text

Event-triggered iterative learning control for output constrained multi-agent systems. by Wei Cao, Huanhuan Li, Jinjie Qiao, Yi Zhu

“…Firstly, the estimated Pseudo partial derivative(PPD) algorithm is determined based on the input and output data of the system, and the output observer is designed based on the estimated PPD. …”
Get full text

The Rational Spectral Method Combined with the Laplace Transform for Solving the Robin Time-Fractional Equation by Lufeng Yang

“…In this paper, the rational spectral method combined with the Laplace transform is proposed for solving Robin time-fractional partial differential equations. First, a time-fractional partial differential equation is transformed into an ordinary differential equation with frequency domain components by the Laplace transform. …”
Get full text

Searching for Similar Subgraphs in an Unweighted Undirected Graph by Computing Isomorphic Path Sets by Valentin Sysoev, Aleksandr Bykov

“…Existing methods and approaches currently rely on searching for isomorphic subgraphs, including intermediate results, which does not allow for finding subgraphs based on a common part with the target graph in the form of a partial graph. The presented algorithm operates based on constructing and analyzing path sets of graphs, using original algorithms for constructing a path skeleton and an iterative algorithm for finding the shortest paths between two vertices. …”
Get full text

Optimizing demand charge of data center base on PE method by Yan HUANG, Peng WANG, Gao-hui XIE

“…Demand charge and energy charge are the two main components of data center electricity cost,previous re-searches have not take demand charge into consideration.PEDC algorithm was proposed by modeling time slot,work-load,service quality constraint and response time constraint.With PEDC algorithm peak power was decreased by partial execution on the condition of service quality constrai and response time constraint.PE method was executed in the heavy loaded time slots to reduce peak power so as to ize demand charge.Energy charge and total charge were also optimized.By comparing with four algorithms and with accurately predicted,PEDC algorithm can reduce elec-tricity cost by 5.9%~12.7% and improve cluster utilization 1.32 times.…”
Get full text

Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition by Mu ZHOU, Yuexin LONG, Qiaolin PU, Yong WANG, Wei HE

“…Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates.…”
Get full text

Graph attention networks based multi-agent path finding via temporal-spatial information aggregation. by Qingling Zhang, Peng Wang, Cui Ni, Xianchang Liu

“…However, due to partial observability, agents often struggle to determine optimal strategies. …”
Get full text

STUDY ON WEAR RELIABILITY OF SYNCHRONIZER SLIDERS OF THE TRACKED VEHICLE by AN Hai, ZHOU Ling, YAN ZhaoYi, SUN Peng

“…For wear-out failure problem of synchronizer sliders in the tracked vehicle,the wear experiment and reliability estimation are developed to study in the paper. Firstly,Partial Least Squares（ PLS） Algorithm is used to process the test data and fit the mathematical expression between the wear rate and the influencing factors. …”
Get full text

Spatio-Temporal Aware Collaborative Service Ranking Prediction in IoT-Enabled Edge Computing by Yuze Huang, Xiao Chen, Wenhui Zhang, Qianxi Li, He Li

“…In this model, a silhouette coefficient based clustering algorithm is utilized to partition edge domains, and services deployed on the same edge server are compared using the partial ranking model. …”
Get full text

Heterogeneous Multi-Agent Deep Reinforcement Learning for Cluster-Based Spectrum Sharing in UAV Swarms by Xiaomin Liao, Yulai Wang, Yang Han, You Li, Chushan Lin, Xuan Zhu

“…The MAPPO-H enables the CHs to decide cluster selection and moving position, while CMs utilize IPPO-M to cluster autonomously under the condition of certain partial channel distribution information (CDI). Adequate experimental evidence has confirmed that the HMDRL-UC algorithm proposed in this paper is not only capable of managing dynamic drone swarm scenarios in the presence of partial CDI, but also has a clear advantage over the other existing three algorithms in terms of average throughput, intra-cluster communication delay, and minimum signal-to-noise ratio (SNR).…”
Get full text