An Improved Strong Tracking Kalman Filter Algorithm for the Initial Alignment of the Shearer by Yuming Chen, Wei Li, Gaifang Xin, Hai Yang, Ting Xia

“…To overcome the performance degradation of the existing initial alignment algorithm under complex underground environment, a novel adaptive filtering algorithm is proposed by the integration of the strong tracking Kalman filter and the sequential filter for the initial alignment of the shearer with complex underground environment. …”
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Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication by Taifei ZHAO, Longfei LIU, Jing WANG, Liyang YANG

“…There are serious intersymbol interference (ISI) and signal attenuation in wireless ultraviolet communication system.Aiming at this problem,an improved constant modulus fractionally spaced equalizer (CMA-FSE) based on signal-to-noise (SNR) estimation was proposed.The algorithm combined the fractionally spaced equalizer (FSE) and constant modulus algorithm (CMA) for blind equalization of wireless ultraviolet channels.The input SNR was measured by the mean square value of the received signal,and it was used to determine the best iterative step to ensure the convergence of the equalization algorithm.Simulation results show that the improved CMA-FSE algorithm can converge rapidly under various SNR,and it can effectively suppress ISI and improve the BER performance of the system.Compared with the existing algorithms,the improved algorithm is more useful in channel tracking and noise suppression.…”
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Exercise Behavior Prediction and Injury Assessment Based on Swarm Intelligence Algorithm by Ding Ding, Jianqiong Jiang, Changya Liu

“…IPSGWO algorithm is based on the GWO algorithm, with appropriate strategies and ideas, to maximize the improvement. …”
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Improvement of Dung Beetle Optimization Algorithm Application to Robot Path Planning by Kezhen Liu, Yongqiang Dai, Huan Liu

Subjects: “…dung beetle optimization algorithm…”
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Guided evolutionary game algorithm of unstructured P2P network by Guohui ZHU, Chunlan LU, Rui ZHANG

“…In order to promote the cooperation among the nodes which exist in dynamic and open peer-to-peer network,G-SLACER algorithm was provided by introducing pacesetter nodes.30% of network nodes were initialized to pacesetter nodes.In the process of topology reconstruction,a guided link to the most advantage node was added.To encourage studies between nodes,the payoff of the whole network was increased.The experimental results show that the G-SLACER algorithm has good generality for different sizes of networks,and it enhances the stability of CCP.Compared with other evolutionary game algorithms,cooperation state of P2P network formed by G-SLACER algorithm appears earlier and more stable.…”
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States constrain-based algorithm for large scale regular expression matching by Wei HE, Yun-fei GUO, Hong-chao HU

“…By analysis of state explosion in deterministic finite automata DFA,a novel algorithm Group²-DFA based on state constrains was proposed to reduce the memory usage.With the state constrains,states in NFA were classified into several groups.Group²-DFA introduces two-level classification and merges NFA and DFA together to a hybrid FA construction.The experiments show that Group²-DFA can reduce memory usage efficiently and keep high throughput with a small increase of memory reading time.With 300 regex rules,Group²-DFA can cut 75% states and achieve 1Gbps throughput.…”
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Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

Subjects: “…stochastic detection algorithm…”
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Minimum delay algorithm based on time aggregated graph in DTN network by Peng WANG, Hong-yan LI, Tao ZHANG, Peng-yun LI

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Resource optimization algorithm of combination of NFV and SDN for application of multiple services by Xiaorong ZHU, Qian ZHANG

“…Various services of internet of things (IoT) require flexible network deployment to guarantee different quality of service (QoS).Aiming at the problem of IoT service function chain deployment,network function virtualization (NFV) and software defined networking (SDN) were combined to optimize resources.Considering forwarding cost and traffic load balance,a joint optimization model of virtual network function placement and service function chain routing was given and was proved to be NP-Hard.In order to solve this model,two heuristic algorithms were proposed.One was the service chain deployment algorithm of first routing then placing (FRTP) and the other was the placing followed by routing (PFBR) based on node priority.Simulation results demonstrate that FRTP and PFBR algorithm can significantly balance network traffic load while alleviating congestion and improving the acceptance ratio of the chain requests compared with other algorithms.…”
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Distributed beamforming algorithm based on game theory in device-to-device communications by Xian-zhong Xie, Chuan-wen Li, Shuang-guo Cheng, He-lin Yang, Shu Tang

“…Finally, the simulation results show that the proposed algorithm has better performance in terms of system sum rate and fairness than the existing algorithms.…”
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Optimal Location of Plate Damped Parts by Use of a Genetic Algorithm by J.-L. Marcelin, Ph. Trompette

“…The discrete design variable optimization problem is solved using a genetic algorithm.…”
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Novel cooperative power control game algorithm for cognitive radio systems by CHENG Shi-lun1, YANG Zhen1, ZHANG Hui2

“…In order to fair optimally allocate the limited cognitive radio resource,a cognitive radio system was developed based on STBC OFDM-CDMA network systems and a novel Nash bargaining solution named NBS of cooperative power control was adopted in this system,the transmitted power was dynamically adapted based on channel conditions,maxi-mal network throughput and power limits.Simulation results show that the novel algorithm can regulate their transmitter powers,fair optimally allocate radio resource.At the same power consumption,the network throughput is thereby im-proved obviously.…”
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Novel distinguisher for SM4 cipher algorithm based on deep learning by Huijiao WANG, Xin ZHANG, Yongzhuang WEI, Lingchen LI

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Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

“…In this paper, we address challenges in steel surface defect inspection, such as missed detections and false detections, by proposing the GCHS-YOLO detection algorithm. Built on YOLOv8s, our approach replaces the traditional Feature Pyramid Network (FPN) in the NECK section with a multi-scale fusion network (GFPN). …”
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Solving the maximum cut problem using Harris Hawk Optimization algorithm. by Md Rafiqul Islam, Md Shahidul Islam, Pritam Khan Boni, Aldrin Saurov Sarker, Md Asif Anam

“…The proposed system provided comparatively better outcomes on the G-set dataset than other state-of-the-art algorithms. It obtained 533 cuts more than the discrete cuckoo search algorithm in 9 instances, 1036 cuts more than PSO-EDA in 14 instances, and 1021 cuts more than TSHEA in 9 instances. …”
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Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

“…Unsupervised learning algorithms can effectively solve sample imbalance. To address battery consistency anomalies in new energy vehicles, we adopt a variety of unsupervised learning algorithms to evaluate and predict the battery consistency of three vehicles using charging fragment data from actual operating conditions. …”
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Transmission power control and scheduling algorithm in wireless body area networks by Zhi-jun WANG, Feng-ye HU, Ying-qi YIN, Xiao-lan LIU

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Quasi-cyclic extension based on PEG algorithm for construction of LDPC codes by LEI Jing1, WANG Jian-hui1, TANG Chao-jing1

Subjects: “…PEG algorithm…”
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MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST by Phan Thành Huấn, Lê Hoài Bắc

“…Finally, we presented experimental results on both synthetic and real-life datasets, which showed that the proposed algorithm performed better than the existing algorithms.…”
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A Novel Hybrid Improved RIME Algorithm for Global Optimization Problems by Wuke Li, Xiong Yang, Yuchen Yin, Qian Wang

“…The RIME algorithm is a novel physical-based meta-heuristic algorithm with a strong ability to solve global optimization problems and address challenges in engineering applications. …”
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