The Influence of Initial Normal Stress Assumption of Slip Surface on Safety Factor of Symmetrical Three-Dimensional Slopes by Huali Liu

“…The initial normal stress distribution over the 3D slip surface was assumed, and then it was modified by a function with 2 parameters to satisfy two force equilibrium conditions about two axes and one moment equilibrium condition around one axis. An iterative equation was derived that would yield a value to 3D safety factor. …”
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Energy efficiency joint optimization algorithm for mixed-ADC massive MIMO systems by Haiyan CAO, Zhongliang WANG, Hao XU, Qianhong CHEN, Fangmin XU

“…An energy efficiency optimization algorithm was proposed for the uplink of massive MIMO system with mixed precision analog-to-digital converter (ADC) at the receiver.Based on the maximum ratio combining detection algorithm (MRC), the approximate closed-form expression of system uplink energy efficiency was derived.Firstly, the proportion of high-precision ADC was determined, and then the quantization accuracy of low-resolution ADC, the user’s transmission power and the number of antennas at the base station was taken as the optimization objectives to alternately iterate to obtain the optimal energy efficiency value.Furthermore, the influence on energy efficiency and spectrum efficiency was analyzed by adjusting the proportion of high-precision ADC.The simulation results show that the proposed algorithm has high energy efficiency, and can achieve a better balance between energy efficiency and spectrum efficiency by adjusting the proportion of high-precision ADC.…”
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Beamforming for Non-Orthogonal Multicast and Unicast Transmissions Based on Rate Splitting in Satellite-Terrestrial Integrated Network by Bensi ZHANG, Deyi PENG, Yun LI

“…A non-orthogonal multicast and unicast transmission scenarios in the satellite-terrestrial integrated networks (STIN was considered), and a system model of joint multi-group multicast and unicast downlink transmitting was constructed.In order to improved the spectral effi ciency of STIN, a beamforming scheme that non-orthogonal transmission based on rate splitting was proposed, where a max-min fair (MMF) beamforming design problem was established to optimized transmit beamforming vector of base station and satellite respectively.And then, considered non-convex constraint caused by variable coupling in the problem, an iterative algorithm based on successive convex approximation to solved the optimization problem was proposed.Simulation results showed that our proposed scheme could improved eff ectively the MMF transmitting rate of the STIN in contrast with the traditional non-rate splitting and layer division multiplexing schemes.…”
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A rank correlation coefficient based particle filter to estimate parameters in non-linear models by Qingxu Meng, Kaicheng Li

“…This article proposed an improved particle filtering algorithm combining with different rank correlation coefficients to overcome the shortcomings of degeneracy. By simulating iteration operation in MATLAB, it discovers that the proposed algorithm provides better accuracy in comparison with particle filtering, Gaussian sum particle filter, and Gaussian mixture sigma-point particle filter in Gaussian mixture noise. …”
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Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain by Bing-quan CHEN, Hong-li LIU

“…Firstly, the algorithm used the GS（Gauss-Seidel）iterative method to resolve the Retinex variational energy functional so that the color constancy was remained and the operational velocity of the proposed algorithm was improved. …”
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Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm by Liang Wu

“…In addition, the efficiency of the algorithm in the later iteration is basically controlled at about 0.5 seconds, indicating that the efficiency of the algorithm is worth identifying.…”
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Image encryption algorithms based on chaos through dual scrambling of pixel position and bit by Xiao-heng DENG, Chun-long LIAO, Cong-xu ZHU, Zhi-gang CHEN

“…As the current popular chaos-based image encryption algorithms with the permutation–diffusion structure have security flaws of no immunity to attack.A new image encryption algorithm was proposed based on the analysis of current algorithms,which can well resist the chosen-plaintext and the chosen-ciphertext attacks.The algorithm uses Kent chaotic map to generate key streams,and produces the parameters of the chaotic system and the iteration times according to the characteristics of plaintext pixels and input key.Firstly,the positions of pixels were shuffled totally with the chaotic sequence.Secondly,the 0 and 1 bit positions of image pixels were scrambled by using another chaotic sequence generated by the input key.The experimental results show that the algorithm cannot only resist the chosen plaintext attack and chosen ciphertext attack but also achieve better cryptographic properties,such as key space,statistical analysis.…”
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k-means clustering method preserving differential privacy in MapReduce framework by Hong-cheng LI, Xiao-ping WU, Yan CHEN

“…The host tasks were obligated to control the iterations of k -means. The Mapper tasks were appointed to compute the distances between all the records and cluster-ing centers and to mark the records with the clusters which the records belong. …”
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Bayesian network structure learning algorithm based on hybrid binary salp swarm-differential evolution algorithm by Bin LIU, Ruixing FAN, Haoran LIU, Liyue ZHANG, Haiyu WANG, Chunlan ZHANG

“…Aiming at the disadvantages of Bayesian network structure learned by heuristic algorithms,which were trapping in local minimums and having low search efficiency,a method of learning Bayesian network structure based on hybrid binary slap swarm-differential evolution algorithm was proposed.An adaptive scale factor was used to balance local and global search in the swarm grouping stage.The improved mutation operator and crossover operator were taken into salp search strategy and differential search strategy respectively to renew different subswarms in the update stage.Two-point mutation operator was adopted to improve the swarm’s diversity in the stage of merging of subswarms.The convergence analysis of the proposed algorithm demonstrates that best structure can be found through the iterative search of population.Experimental results show that the convergence accuracy and efficiency of the proposed algorithm are improved compared with other algorithms.…”
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Transmission scheduling scheme based on deep Q learning in wireless network by Jiang ZHU, Tingting WANG, Yonghui SONG, Yali LIU

“…To cope with the problem of data transmission in wireless networks,a deep Q learning based transmission scheduling scheme was proposed.The Markov decision process system model was formulated to describe the state transition of the system.The Q learning algorithm was adopted to learn and explore the system states transition information in the case of unknown system states transition probability to obtain the approximate optimal strategy of the schedule node.In addition,when the system state scale was big,the deep learning method was employed to map the relation between state and behavior to solve the problem of the large amount of computation and storage space in Q learning process.The simulation results show that the proposed scheme can approach the optimal strategy based on strategy iteration in terms of power consumption,throughput,packets loss rate.And the proposed scheme has a lower complexity,which can solve the problem of the curse of dimensionality.…”
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Energy efficiency optimization for sub-connected active reconfigurable intelligent surface-assisted wideband cell-free networks by Gangcan SUN, Shuo WANG, Bing NING, Wanming HAO

“…In the face of the high power consumption issue caused by the dense deployment of base stations in cell-free networks, a wideband cell-free network system with sub-connected active reconfigurable intelligent surface (RIS) was proposed.Firstly, based on the constraints of maximum power consumption at the active RIS, amplification factor, and maximum power consumption at the base station, a joint precoding design problem for the base station and RIS was formulated to maximize the energy efficiency.To solve the non-convex problem, advanced techniques including alternating optimization, block coordinate descent, Lagrange dual reconstruction, and multidimensional complex quadratic transformation were applied to transform the original problem into multiple sub-problems.By iteratively solving each sub-problem, the solutions of the original problem was ultimately obtained.The simulation results validate the effectiveness of the proposed scheme.…”
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Low complexity hybrid precoding method in mmWave massive MIMO system by Jianwei XIANG, Xiulan YU, Xiaorong JING

“…A low-complexity hybrid precoding method was proposed to design the hybrid precoding for mmWave massive MIMO system.Firstly,an initial radio frequency(RF)precoding matrix was constructed based on the singular value decomposition.Then an updated RF matrix was constructed by placing the vector which was constructed by the biggest left singular vectors of the residual matrix onto the last column of the initial RF matrix.By multiple iterations,the resultant RF precoding matrix can be obtained and the digital precoding matrix was designed based on the least square criterion.Theoretical analysis and simulation results show that the proposed algorithm greatly outperforms the hybrid precoding method based on orthogonal matching pursuit(OMP)algorithm with much reduced computational complexity.Additionally,the proposed hybrid precoding method has almost the same performance as the full digital precoding method when the number of data stream is relatively less.…”
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V-notch tip subjected to in-plane mixed mode loading: overview of recent results and possible future outcomes by F. Berto

“…Finally, for comparison, the support factor is determined on a purely numerical basis by iterative analysis of FE models.…”
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This is Improper and Irreligious by Gibson Ncube

“…In their different iterations of the intersection of queerness and the practice of Islam, Imarat Yácubyan and Une Mélancolie Arabe open new spaces for understanding Islam and, specifically, what it means to be queer, Arab, and Muslim within the sociocultural context of North African countries. …”
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On the Probabilistic Proof of the Convergence of the Collatz Conjecture by Kamal Barghout

“…Considering Collatz function producing random numbers and over sufficient number of iterations, this probability distribution produces numbers in descending order that lead to the convergence of the Collatz function to 1, assuming that the only cycle of the function is 1-4-2-1.…”
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Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge by Yiqiang Li, Liming Zhou

“…This algorithm achieves the goal of balancing exploration and exploitation by adopting different combinations of particle swarm velocity update strategies in different iteration stages. The application effects of MCPSO in the FEM model update of the continuous Warren truss steel railway bridge are compared and analyzed, and the results show that the algorithm proposed in this paper outperforms the standard PSO (SPSO) algorithm. …”
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Compressed sensing reconstruction algorithm based on adaptive acceleration forward-backward pursuit by Zuozhou PAN, Zong MENG, Jing LI, Ying SHI

“…Aiming at the long running time problem of the traditional forward-backward pursuit (FBP) algorithm,an adaptive acceleration forward-backward pursuit (AAFBP) algorithm was proposed.The reconstruction process of AAFBP algorithm can be divided into two stages.In the forward stage,the AAFBP algorithm used the adaptive threshold to select the right amount of atoms to join the support set.In the backward stage,based on the projection coefficient of the atoms,the deletion threshold was introduced to remove the atoms adaptively and the excessive backtracking phenomenon in adaptive process was overcome simultaneously.The proposed method can ensure the number of the selected atoms more random,and more right atoms were retained in each iteration.The simulation results of one-dimensional sparse signal and two-dimensional image show that the AAFBP algorithm has more advantages in both the accuracy of reconstruction and the running time.…”
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Array amplitude-phase and mutual coupling error joint correction method based on sparse Bayesian by Ding WANG, Weigang GAO, Zhidong WU

“…In the actual array direction finding system, there are often a variety of errors such as amplitude and phase, mutual coupling, which lead to serious deterioration of array direction finding performance.In order to solve the problem of array direction finding misalignment in the presence of low signal-to-noise ratio, small snapshots and multiple errors, the spatial sparsity of signals were introduced, and Bayesian sparse reconstruction technology was used to solve the passive correction and joint estimation of array signal azimuth in the presence of amplitude-phase and mutual coupling errors.The over-complete model of the received signal with error was constructed, and the posterior probability density function of the received signal was obtained.The EM algorithm was used to iteratively optimize the probability density function to solve the corresponding parameters.At the same time, the CRLB of array error and signal azimuth was derived, and by experimental simulation verifies the effectiveness of the proposed method.…”
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Asynchronous perception algorithm based on energy detection by Pan YU, Bin LI, Cheng-lin ZHAO

“…In the future heterogeneous wireless networks,since primary user (PU) and cognitive secondary user (SU) are not coordinated to be synchronous,it will result in sense timing difference between PU’s transmitter and SU’s receiver.For this asynchronous sense case,a new asynchronous sensing algorithm based on Bayesian estimation theory was proposed.A unified dynamic state space model was first proposed to describe the observable energy relationship with dynamic PU state and unknown timing difference.Then,an iterative estimation scheme was designed using stochastic finite set and the rules of maximum posterior probability.Finally,approximated estimation results were obtained by using a particle filter.The simulation results show that the proposed asynchronous scheme significantly eliminates the uncertainty of the received signal information and thus improves the spectrum sensing performance by obtaining the time difference accurately.…”
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Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system by Enqing CHEN, Xinli GAO, Xiaoqiang XIANG, Zhongyong WANG

“…Simulation result shows that，the new channel estimation method outperforms many existing iterative algorithms in reconstruction performance and can be implemented easily in practical application.…”
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