Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment by Sen Li, Xiaojing Chen, Rongxi He

“…The MUSIC algorithm with the robust cyclic correlation matrix of the received signals of arrays is then used to estimate the direction of cyclostationary signal in the presence of impulsive noise. …”
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Design Optimization of Stewart-Gough Platform based on Differential Evolution Algorithm by Wang Ting, Miao Hongbin, Wu Quanjun, Jin Weihe

Subjects: “…Differential evolution algorithm…”
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Novel high accuracy and coverage localization algorithm for wireless sensor networks by XIANG Man-tian1, SHI Hao-shan1, LI Li-hong2, LONG Cheng-zhi3

“…In order to achieve the geographic positions of random nodes in wireless sensor networks more efficiently and aiming at the defect that poor accuracy and coverage of traditional bounding box approach, a new localization algorithm was proposed based on concentric triple-hop of node communication range. …”
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Low error floor LT coding algorithm for unequal error protection by Xin SONG, Shuyan NI, Zhe ZHANG, Yurong LIAO, Tuofeng LEI

“…As the first achievable rateless code,the rateless LT code can be conveniently used in conjunction with the UEP algorithm to realize adaptive data transmission.However,the conventional UEP-LT code algorithm has problems such as high error floor and poor convergence performance in the additive white Gaussian noise(AWGN)channel.Therefore,an improved systematic UEP-LT coding scheme is designed in this paper. …”
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Multimodal Image Translation Algorithm Based on Singular Squeeze-and-Excitation Network by Hangyao Tu, Zheng Wang, Yanwei Zhao

“…To address this, we proposed the multimodal image translation algorithm MASSE based on a Singular Squeeze-and-Excitation Network, combining GANs and SENet. …”
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Pedestrian Detection Algorithm Combining Attention Mechanism and Nonmaximum Suppression Method by Duo Pan, Xuemei Zhou

“…Attention mechanism was used to optimize and highlight pedestrian area features, and meanwhile, the nonmaximum suppression method was applied to improve the robustness of the algorithm. Experimental results show that the detection accuracy of the proposed algorithm is significantly higher than that of the traditional convolutional neural network algorithm.…”
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Cooperative caching algorithm of UAV and user in UAV-assisted cellular network by Tiankui ZHANG, Chao CHEN, Ziduan WANG, Dingcheng YANG

“…Aiming at the problem of mass data content transmission and limited wireless backhaul resource of UAV in UAV-assisted cellular network,a cooperative caching algorithm for cache-enabled UAV and user was proposed.By deploying caches on UAV and user device,the popular content requested by user was cached and delivered,which alleviated the backhaul resource and energy consumption of UAV,reduced the traffic load and user delay.A joint optimization problem of UAV and user caching was established with the goal of minimizing user content acquisition delay,and decomposed into UAV caching sub-problem and user caching sub-problem,which were solved based on alternating direction method of multiplier and global greedy algorithm respectively.The iterative way was used to obtain convergent optimization result,and the cooperative caching of UAV and user was realized.Simulation results show that the proposed algorithm can effectively reduce user content acquisition delay and improve system performance.…”
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Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm by Ying-Qing Guo, Jie Zhang, Dong-Qing He, Jin-Bao Li

“…Also, compared with the fuzzy fractional-order PID algorithm and the traditional PID algorithm, the OFFO-PID algorithm is better.…”
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Improvement and Analysis of Semantic Similarity Algorithm Based on Linguistic Concept Structure by Shan Xiao, Cheng Di, Pei Li

“…For such huge data storage and identification, in order to manage such data more efficiently and reasonably, traditional semantic similarity algorithm emerges. However, the accuracy of the traditional semantic similarity algorithm is relatively low, and the convergence of corresponding algorithm is poor. …”
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Two-layer grouped Byzantine fault tolerance algorithm for UAV swarm by Yu CHEN, Lianxing JIA

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Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems by Tatsuhiko Shirai, Nozomu Togawa

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Numerical algorithm for solving parabolic identification problem with mixed boundary condition by Charyyar Ashyralyyev, Tazegul Ashyralyyeva

“…Stability estimates for the solution of identification problem with mixed boundary conditions are obtained. Numerical algorithm for solving this inverse problem are proposed. …”
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A Novel Self-Adaptive Trust Region Algorithm for Unconstrained Optimization by Yunlong Lu, Wenyu Li, Mingyuan Cao, Yueting Yang

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A Handoff Algorithm of Dynamic Decisions with Extenics for Wireless Cellular Networks by Chen-Feng Wu

“…In this paper, the extension theory is introduced and applied to the handoff algorithm for participating handoff decisions and channel preservation. …”
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Research on RFID anti-collision hybrid algorithm based on discrete processing by Ping LI, Li-min SUN, Jia-ying WU, Qing FANG, Jin-yang XIE, Bo-xiang ZHOU

“…A kind of binary tree search algorithms have distinct application limitations such as high number of requests in case that a fairly large number of tags are available.A hybrid anti-collision algorithm was proposed,combining binary tree search with discrete processing.Theoretic analysis show that,different from available schemes,the algorithm essentially performs binary tree search not on a single tag,but on models which identify the property of discrete procession.The proposed algorithm fully takes the time of request into account,as well as power consumption and throughput of the system.Simulation result verifies that the algorithm achieves much better performances such as the time of request and throughput than the previous algorithms.…”
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Incremental dynamic community discovery algorithm based on multi-core nodes by Jing CHEN, Zhijun LIU, Xinyu YANG, Mingxin LIU, Miaomiao LIU

“…A new incremental dynamic community discovery algorithm MCNIDCD based on multiple core nodes was proposed to address challenges in dynamic community discovery.It adapted to sudden events like the emergence or disappearance of communities during evolution.MCNIDCD categorized core nodes into diffusion and cohesion types, and devised four incremental updating strategies.It adjusted node community membership locally and optimized community structure using an incremental modularity method to facilitate community merging.Evaluation on artificial and real networks shows MCNIDCD’s high conformity to community evolution patterns.In real network experiments, MCNIDCD exhibits a 28% average improvement in modularity performance and significant stability advantages.Its superiority is important for studying dynamic community evolution.…”
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A Game Model and Fault Recovery Algorithm for SDN Multi-Domain by Tao Xu, Chen Chen, Kaiming Hu, Yi Zhuang

“…A game-enhanced autonomous fault recovery algorithm for SDN controllers is proposed, which boasts fast fault recovery and low migration costs. …”
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An Optimization Model and Modified Harmony Search Algorithm for Microgrid Planning with ESS by Yang Jiao, Jing Wu, Qing-kun Tan, Zhong-fu Tan, Guan Wang

“…To solve problems such as the high cost of microgrids (MGs), balance between supply and demand, stability of system operation, and optimizing the MG planning model, the energy storage system (ESS) and harmony search algorithm (HSA) are proposed. First, the conventional MG planning optimization model is constructed and the constraint conditions are defined: the supply and demand balance and reserve requirements. …”
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A tool for the analysis of the efficiency of a parallel LU factorization algorithm by Raimondas Čiegis, Vadimas Starikovičius

“… This paper considers issues on the design of a tool for the analysis of a parallel LU factorization algorithm. The costs of data communication are included into the theoretical model. …”
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Memory fragment file carving algorithm based on the reverse of the structure chain by Binglong LI, Zhenyu ZHOU, Yu ZHANG, Heyu ZHANG, Chaowen CHANG

“…To address the extraction of document evidence for doc, pdf, and other common file types in the memory image, the model of fragment file carving based on memory image was proposed.Then, on the basis of the model, the fragment file carving algorithm based on the reverse of file object structure chain was designed and implemented, the algorithm was able to get file data left behind in the memory image file.The experimental results show that the proposed algorithm can successfully carve out of memory file’s metadata, and the accuracy is 100%, and in a typical application case, the accuracy of the algorithm for memory file can achieve 87.5%, far higher than disk-based file caving algorithm.…”
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