Research on throughput maximization for intelligent reflecting surface assisted dual-hop relay wireless powered communication network by Zhen YANG, Xuan FENG, Bin LYU

“…To improve the energy and information transmission efficiency of relay-based wireless powered communication network (WPCN), a two intelligent reflecting surface (IRS) assisted dual-hop relay wireless transmission scheme was proposed.In particular, IRS₁ and IRS₂ were deployed between the base station (BS) and hybrid relay node (HRN), and between the HRN and users, respectively, which could improve the efficiency of energy transfer from the HRN to users, data transmission from users to the HRN and data forwarding from HRN to BS.To maximize the system throughput, an optimization problem was formulated, where the time scheduling of energy, information transmission and forwarding, the phase shifts of IRS, and the delivered power of users were jointly optimized.To address non-convexity of the formulated problem, an efficient alternating optimization algorithm was proposed and the sub-optimal solution was obtained.In addition, the convergence and computational complexity of the proposed algorithm were analyzed.Numerical results verify that IRS can effectively improve the throughput of WPCN based on relay.In addition, compared to the benchmark schemes, the proposed optimal transmission scheme can significantly improve the system performance in terms of throughput.…”
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Improved transmit beamforming design based on ADMM for low probability of intercept of FDA-MIMO radar by Pengcheng GONG, Yuntao WU

“…Considering the low probability of intercept problem that the signal-dependent interference and the target were located in the same angle, an improved transmit beamforming design based on the alternating direction method of multipliers (ADMM) was proposed for multiple-input multiple-output with frequency diverse array radar.The transmit energy was minimized at the target under constraints of the energy at each transmitter and signal clutter-plus-noise ratio requirement.Subsequently, a cyclic algorithm was developed to tackle the non-convex design problem.Firstly, the optimal receive filter was obtained by generalized Rayleigh quotient.And then the transmit beamforming was optimized by employing auxiliary variables and ADMM to solve quadratic programming problem with fractional inequality constraint.Moreover, both the convergence and computational complexity of the proposed algorithm were discussed.Simulation results show that, compared with the semi-denite programming method, the proposed method not only attains the given antenna power, but also achieves the better mainlobe focusing performance at the target.Furthermore, the null levels at the clutter locations and the jamming directions obtained by the proposed method are -50 dB above.…”
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Analysis and Control of Fractional Order Generalized Lorenz Chaotic System by Using Finite Time Synchronization by Yan Cui, Hongjun He, Guan Sun, Chenhui Lu

“…The complexity of fractional order chaotic system is given by spectral entropy algorithm and C0 algorithm. We concluded that the fractional order chaotic system has a higher complexity. …”
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Cooperative Sequential Sensing of Radio Transmissions in 5G with Improved Cost-Delay Tradeoff by Xiaoyu Qiao, Weiliang Xie, Fengyi Yang

“…We develop a cooperative sequential detection algorithm, in which multiple geographically diverse sensors are sequentially set up to measure and transmit measurement results on demand. …”
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Free Vibrations of a Trapezoidal Plate with an Internal Line Hinge by María Virginia Quintana, Ricardo Oscar Grossi

“…It allows studying the influence of the mentioned line on the vibration frequencies and respective mode shapes. The algorithm can easily be programmed and it is numerically stable. …”
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Optimization and Matching Scheme of Public Management Resources for Industry 4.0 and Smart City by Jinglin Fan, Lei Shi

“…This paper starts with the multiobjective optimization algorithm to optimize the matching of public resources and realize the effective utilization of public management resources. …”
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Instantaneous Impact Point Guidance with Coast Arcs for Solid Rockets by Shengwei Jia, Fugui Li, Mingbo Tong

“…Finally, the application of the developed theoretical algorithm in this paper is conducted using a two-stage solid rocket. …”
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A Novel Contextual Information Recommendation Model and Its Application in e-Commerce Customer Satisfaction Management by Feipeng Guo, Qibei Lu

“…Finally, a novel collaborative filtering algorithm integrating with context and user similarity is designed. …”
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Efficient Image Transmission over WVSNs Using Two-Measurement Matrix Based CS with Enhanced OMP by Hemalatha Rajendran, Radha Sankararajan, Jalbin Justus

“…An Enhanced Orthogonal Matching Pursuit algorithm is also proposed, which produces nearly 2% to 26% better recovery rate with the same number of measurements than the conventional OMP algorithm. …”
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Research on filter-based adversarial feature selection against evasion attacks by Qimeng HUANG, Miaomiao WU, Yun LI

“…With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are threatened by attacks that manipulate a small number of samples to induce misclassification, resulting in serious consequences in various domains such as spam detection, traffic signal recognition, and network intrusion detection.An evaluation criterion for filter-based adversarial feature selection was proposed, based on the minimum redundancy and maximum relevance (mRMR) method, while considering security metrics against evasion attacks.Additionally, a robust adversarial feature selection algorithm was introduced, named SDPOSS, which was based on the decomposition-based Pareto optimization for subset selection (DPOSS) algorithm.SDPOSS didn’t depend on subsequent models and effectively handles large-scale high-dimensional feature spaces.Experimental results demonstrate that as the number of decompositions increases, the runtime of SDPOSS decreases linearly, while achieving excellent classification performance.Moreover, SDPOSS exhibits strong robustness against evasion attacks, providing new insights for adversarial machine learning.…”
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МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN by CHEN BiMin, HUANG XiaoDi

“…That the graded honeycomb recommended by the NSGA-I algorithm is compared with the homogeneous honeycomb. …”
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Application of Optimized Support Vector Machine Model in Tax Forecasting System by Yu Xin

“…The results show that the algorithm used in this paper can optimize the parameters of support vector machine. …”
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Degradation and reliability assessment of accuracy life of RV reducers by XU Hang, NIE Yixuan, WEN Dongjie, REN Jihua, HONG Zhihui

“…The posterior distribution parameters of the random degradation model are updated by using the algorithm to predict the results, which can effectively evaluate the reliability of the accuracy life of RV reducer and lay the foundation for further reliability optimization design of accuracy life.…”
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TEMPERATURE COMPENSATION STRATEGY OF PRESSURE SENSOR BASED ON BP NEURAL NETWORK OPTIMIZED BY GLOWWORM SWARM OPTIMIZATION by WANG Hui, FU Peng, SONG YuNing

“…The generalized BP neural network is used to optimize the weights and thresholds by using the firefly algorithm,thus improving the generalization performance and searching speed of the neural network,carried out temperature compensation of pressure sensor by optimized BP neural network. …”
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Multi-objective Optimization Design of Planetary Cycloidal Reducer Structure with Considering Failure Correlation by Shengyu Zheng, Gang Zhao, Zhengming Xiao, Jialin Tan, Jiawei Liu

“…Taking a heavy-duty planetary cycloidal reducer as the research object，the reliability mathematical model of each subcomponent is constructed based on the force analysis of two-stage transmission system subcomponents，and the reliability is correlated and coupled by Copula function to construct a system reliability model considering failure correlation； on this basis，a multi-objective optimization model with minimum volume and maximum reliability is constructed，and NSGA-Ⅱ（Non-dominated sorted genetic algorithm-Ⅱ） algorithm is used to solve the model，and it is compared and analyzed with the system reliability model considering the independence assumption. …”
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IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…Then, we generalize this algorithm to a compact implicit neural network that has only 0.003M parameters. …”
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A Bilevel Programming Model to Optimize Train Operation Based on Satisfaction for an Intercity Rail Line by Zhipeng Huang, Huimin Niu

“…The Frank-Wolfe algorithm is used for solving the lower layer planning. …”
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Damage Detection of a Continuous Bridge from Response of a Moving Vehicle by Z. H. Li, F. T. K. Au

“…At the second stage, the identification problem is transformed into a global optimization problem and is solved by genetic algorithm techniques. For each pass of the vehicle, the method can identify the location of the damage until it is determined with acceptable accuracy. …”
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An Improved QSPR Modeling of Hydrocarbon Dipole Moments by Igor V. Nesterov, Andrey A. Toropov, Pablo R. Duchowicz, Eduardo A. Castro

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Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms by K. Janprom, W. Permpoonsinsup, S. Wangnipparnto

“…Therefore, the PID controller tuned by SOS algorithm can regulate the temperature and humidity of the comfortable room, proficiently.…”
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