Joint frequency-angle estimation using a pseudocovariance matrix by GU Jian-feng, WEI Ping

“…A computationally simple joint frequency and angle estimation method with good statistical performance was proposed.The proposed method eliminates the effect of additive noise under the assumption that the temporal-correlation length of the noise field is shorter than that of the signals,and constructs a pseudocovariance matrix by exhibiting a suffi-cient temporal correlation to obtain the frequency estimation by implementing the singular value decomposition（SVD） of it,then the angles were obtained one-by-one using 1-D searches.Finally,it is shown that the proposed method is superior in estimating the angles because of the aperture extension and offers good estimation performance of the frequencies at the low computational burden through numerical simulations.…”
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Iris Recognition Using Image Moments and k-Means Algorithm by Yaser Daanial Khan, Sher Afzal Khan, Farooq Ahmad, Saeed Islam

“…Images are clustered using the k-means algorithm and centroids for each cluster are computed. An arbitrary image is assumed to belong to the cluster whose centroid is the nearest to the feature vector in terms of Euclidean distance computed. …”
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Low complexity signal detection algorithm based on Newton iterative algorithm by Gang LIU, Zengjin LOU, Qinhua LIN, Yi GUO

“…In order to solve the problems of high computational complexity and slow convergence rate of ultra-massive MIMO detection in terahertz communication system, the low complexity signal detection algorithm based on Newton iterative algorithm was proposed.By improving the initial matrix and adding step factor in Newton iteration algorithm, the complexity of the algorithm was reduced, and the convergence speed was increased.By adding adjusting factors, the stability and reliability of the algorithm were guaranteed, and the applicability of the algorithm was also increased.Simulation results show that the proposed algorithm have lower computational complexity and faster convergence speed compared with traditional schemes.When the number of iterations is three, the detection performance is close to MMSE algorithm.…”
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Dynamical analysis of a complex competitive two-strain epidemic network model with vaccination by A. Abdelkhalek, A.H. Abdel Kader, I.L. El-Kalla, A. Elsaid, Amr Elsonbaty, K.S. Nisar

“…We derive the mathematical model, compute the disease-free equilibrium point, and determine its stability conditions. …”
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Optimal Error Estimate of Chebyshev-Legendre Spectral Method for the Generalised Benjamin-Bona-Mahony-Burgers Equations by Tinggang Zhao, Xiaoxian Zhang, Jinxia Huo, Wanghui Su, Yongli Liu, Yujiang Wu

“…The proposed approach is based on Legendre Galerkin formulation while the Chebyshev-Gauss-Lobatto (CGL) nodes are used in the computation. By using the proposed method, the computational complexity is reduced and both accuracy and efficiency are achieved. …”
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A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm by Issa Cherif Geraldo, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

“…We design a minorization-maximization (MM) algorithm and an accelerated MM algorithm to compute the maximum likelihood estimates of the parameters. …”
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DESIGN AND RESEARCH OF INTELLIGENT CONTROL SYSTEM FOR BELT CONVEYOR by WANG JiDong, SUN JianYan, HU MeiLing

“…It adopts the control mode of PLC and host computer. PLC is used to collect and control the data of the equipment in the whole belt conveyor. …”
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Lite-CA based key pre-distribution scheme in wireless sensor network by PAN Yun1, WANG Li-cheng2, CAO Zhen-fu3, LI Jian2

“…Large-scale sensor nodes were usually deployed in potentially adverse or even hostile environment, so the security in these networks was very important.Due to its constraints on node cost, size and power dissipation, sensor’s energy and capabilities on computation, storage and communication were considerably weak compared with general computers.It leaded to many new challenges for designing of key management protocols in WSN.Therefore, a lite-CA based key pre-distribution scheme was suggested.The traits of CA-based authentication framework and identity-based authentication framework were combined by this scheme.Further, the scheme was efficiently implemented based on quadratic residue theory.…”
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Spectrum sensing algorithm based on symmetry of cyclic spectral correlation by Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, Zhong-zhao ZHANG, Xue-jun SHA

“…In response to the shortcoming of conventional algorithms,modified SSCA was exploited to calculate the cyclic spectral correlation of received signal for decreasing the computational complexity.Symmetry of cyclic spectral correlation (CSC) was used to detect the idle spectrum,criteria and method of selecting and judging symmetry were proposed.Conventional binary hypothesis condition was translated to concrete value according to symmetry.In order to eliminate the effect of interference and noise,non-zero cyclic frequencies were selected.Finally,the performance of the presented algorithm was compared with the conventional algorithms by virtue of simulation.Simulation results proved the correctness and the superiority of new algorithms.Using symmetry improves the successful detection probability for low SNR and reduces the computational complexity.…”
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An Optimal Mapping Method of Error-Correcting Code and Multi-Level Modulation Signal Vector Points by Shu Zhiping

“…From the brief analysis of the symbol-error distribution law for the corresponding multilevel modulation signal, it is discovered that the feedback decoding for the errors, which are located in different symbol locations, has different error-correcting ability. A set of computation method are also provided; using the computation methods the outputerror rate can be obtained from the input error rate. …”
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A CFD ANALYSIS IN SOLIDWORKS FLOW SIMULATION FOR TWO MIXING FLUIDS WITH DIFFERENT TEMPERATURES IN NOZZLES by IONEL OLARU

“…The study from this paper proposes an analysis and a simulation of flow through the convergent-divergent nozzle type to optimize the inlet of warm fluid to have minimum impact on the nozzle walls This analysis will be performed with a computer program specialized in complex analysis of Computational Fluid Dynamics (CFD), which will also take into account the fluid temperature and its influence throughout the system. …”
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Groebner Bases Based Verification Solution for SystemVerilog Concurrent Assertions by Ning Zhou, Xinyan Gao, Jinzhao Wu, Jianchao Wei, Dakui Li

“…Case studies show that computer algebra can provide canonical symbolic representations for both assertions and circuit designs and can act as a novel solver engine from the viewpoint of symbolic computation.…”
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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

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Money plant disease atlas: A comprehensive dataset for disease classification in ornamental horticultureMendeley Data by Md. Seyam ali Biswas, MD Hasan Ahmad, Sajib Bormon, Rimon, Sohanur Rahman Sohag, Amatul Bushra Akhi

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A Finger Vein Recognition Algorithm Based on the Histogram of Variable Curvature Directional Binary Statistics by Min Li, Xue Jiang, Honghao Zhu, Fei Liu, Huabin Wang, Liang Tao, Shijun Liu

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Wide field of view large aperture meta-doublet eyepiece by Anna Wirth-Singh, Johannes E. Fröch, Fan Yang, Louis Martin, Hanyu Zheng, Hualiang Zhang, Quentin T. Tanguy, Zhihao Zhou, Luocheng Huang, Demis D. John, Biljana Stamenic, Juejun Hu, Tian Gu, Arka Majumdar

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Automated Chest X-Ray Diagnosis Report Generation with Cross-Attention Mechanism by Jian Zhao, Wei Yao, Lei Sun, Lijuan Shi, Zhejun Kuang, Changwu Wu, Qiulei Han

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Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index by Ying Zhao, Dongli Hu, Dongxia Huang, You Liu, Zitong Yang, Lei Mao, Chao Liu, Fangfang Zhou

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Model-enhanced spatial-temporal attention networks for traffic density prediction by Qi Guo, Qi Tan, Yue Peng, Long Xiao, Miao Liu, Benyun Shi

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A multimodal dataset for robotic peg extraction based on Bioin-Tacto sensor modulesMendeley Data by Viral Galayia, Ruslan Masinjila, Soheil Khatibi, Thiago Eustaquio Alves de Oliveira, Xianta Jiang, Vinicius Prado da Fonseca

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