APG mergence and topological potential optimization based heuristic user association strategy by Zhirui HU, Meihua BI, Fangmin XU, Meilin HE, Changliang ZHENG

“…Therefore, it is reasonable to model the problem of improving network scalable degree as minimizing network coupling degree,and it is feasible to improve network scalable degree by reducing network coupling degree.2)The upper limit of computational complexity of the proposed algorithm is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="script">O</mi><mo stretchy="false">(</mo><mi>K</mi><mi>N</mi><msub> <mi>log</mi> <mn>2</mn> </msub> <mi>N</mi><mo>+</mo><msup> <mi>k</mi> <mn>2</mn> </msup> <mo>+</mo><mi>N</mi><mi>N</mi><msub> <mover accent="true"> <mi>N</mi> <mo>¯</mo> </mover> <mtext>p</mtext> </msub> <mo stretchy="false">)</mo></math></inline-formula>,while that of directly solving the optimization problem is<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"><mi mathvariant="script">O</mi><mo stretchy="false">(</mo><msup> <mi>N</mi> <mrow> <msub> <mover accent="true"> <mi>N</mi> <mo>¯</mo> </mover> <mtext>u</mtext> </msub> <mi>K</mi></mrow> </msup> <mo stretchy="false">)</mo></math></inline-formula>.3)For theoretical analysis of the network scalable degree,take Fig.3 as an example.If AP2 changes,12 APs in Fig. 3(a)are affected and the network scalable degree is η₂=0.51,while 4 APs in Fig.3(c)are affected and the network scalable degree is η₂=0.79.4)Fig.5 shows the simulation results of network scalable degree.Compared with the traditional strategy,the network scalable degree is improved by 9.59% with 4.43% user rate loss.Compared with the strategy in[10],the network scalable degree is improved by 22.15% with 4.99% user rate loss. 5) The algorithm parameters, the threshold β₀of overlap rate and the upper limit number N₀of AP associated, effect the performance.As shown in Fig.6,with β₀or N₀decreases,η increases and the total user rate decreases. …”
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Marketing Resource Allocation Strategy Optimization Based on Dynamic Game Model by Yan Long, Hongshan Zhao

“…In this paper, the existence of Nash equilibrium and its solution algorithm are proved in the noncooperative case, and the “subgame consistency” of the cooperative solution (Shapley value) is discussed in the cooperative case, and the cooperative solution satisfying the subgame consistency is obtained by constructing the “allocation compensation procedure.” …”
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Study on Applicability of Xin'anjiang Model and Tank Model in Flood Forecasting in Majiagou Reservoir by MA Jinghang, XIAN Yongcai, HE Xueping, LIU Ming, HAN Muyuan, DU Bailin, RUAN Bingnan, XU Liujia, WU Lei

“…Flood forecasting is one of the important non-engineering flood control measures and is the main basis for flood control command and decision-making.In order to avoid the uncertainty of the prediction results of a single model,the Majiagou Reservoir in Chenggu County was taken as the object to simulate the daily runoff and flood process from 2019 to 2021 by using the Xin'anjiang model and tank model respectively,and the simulation results and accuracy of the two models were compared by using the model parameters calibrated and optimized by the genetic algorithm.In the daily runoff simulation,the simulation effect of the tank model is better than that of the Xin'anjiang model,with a relative error of flood volume of less than 16%,a relative error of flood peak of less than 4%,a difference of peak time of less than 1 h,and a Nash-Sutcliffe efficiency coefficient of greater than 0.58,all of which meet the evaluation accuracy requirements of the Standard for Hydrological Information and Hydrological Forecasting,and the simulation effect of deluge in the reservoir is ideal.In the flood process simulation,the difference of peak time between the two models is similar;the simulation effect of the Xin'anjiang model is smoother,and the flood volume and flood peak simulated by the tank model are closer to the measured flow process.On the whole,the tank model is more suitable for flood forecasting in Majiagou Reservoir than the Xin'anjiang model.…”
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Research on Evaluation Index System of Emergency Scheduling Scheme for Reservoir with Loss of Regulation Capacity and Its Application in Xijiang River by REN Mengzhi, LIU Dengfeng, YANG Yuanyuan, LIU Dong, HUANG Qiang, WAN Xin

“…This paper establishes an evaluation index system for extreme events such as completefailure of reservoir to store or discharge water, with the criteria layer including reservoirsafety, water supply, power generation and ecology and the index layer including the durationratio of reservoir over-check water level, ratio of maximum change range of reservoir water level,ratio of water supply guarantee, vulnerability of water supply, maximum water shortage rate,minimum output ratio, loss of power generation benefits, ratio of time to meet ecological flow andthe satisfaction degree of ecological flow; assigns the weight to each index by analytic hierarchyprocess (AHP); and evaluates the different schemes for reservoirs in Xijiang River Basin underfour loss of regulation capacity scenarios with the fuzzy optimization model, non-negative matrixfactorization algorithm and AGA-based projection pursuit clustering model. …”
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Research on the Method of Traffic Organization and Optimization Based on Dynamic Traffic Flow Model by Shu-bin Li, Guang-min Wang, Tao Wang, Hua-ling Ren

“…Then the appropriated optimization model and algorithm were proposed according to different optimized content and organization goals, and the traffic simulation processes more suitable to regional optimization were designed exactly. …”
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Flocking Behavior of Boids Driven by Hyperchaotic MACM System by Rosa Martha López-gutiérrez, Lılıana Cardoza Avendaño, Ana Medina, Cesar Cruz Hernández

“…A measure of chaotic compound will be introduced to the algorithm by means of a new four-dimensional autonomous hyperchaotic system based on the 3D Méndez-Arellano-Cruz-Martínez (MACM) system. …”
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Synthetic Aperture Interferometric Passive Radiometer Imaging to Locate Electromagnetic Leakage From Spacecraft Surface by Yuting Zhang, Jie Zhang, Yuhan Huang, Nan Dong

“…Experiments were conducted on a 1 m × 1 m × 1 m cabin with 51 holes on one surface, and the algorithm proposed in this paper was validated to effectively image and locate electromagnetic leakage points at different frequencies. …”
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Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM) by Ani Apriani, Nono Carsono, Mas Dadang Enjat Munajat

“…Keywords: Prediction, Algorithm, SVM. Linear Regression.…”
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Global Distribution Adjustment and Nonlinear Feature Transformation for Automatic Colorization by Terumasa Aoki, Van Nguyen

“…To design an efficient matching algorithm for automatic colorization, clustering pixel with low computational cost and generating descriptive feature vector are the most important challenges to be solved. …”
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Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods by Yue Guo, Yu Song, Zilong Lai, Xuyang Wang, Licheng Wang, Hui Qin

“…Aiming to optimize both performance and efficiency, the PSO algorithm is used for hyperparameter optimization. …”
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Joint Stochastic Computation Offloading and Trajectory Optimization for Unmanned-Aerial-Vehicle-Assisted Mobile Edge Computing by Yi Zhou

“…A joint optimization algorithm with iterative solving is proposed for solving the three sub-problems and then obtaining the stochastic computation offloading, resource allocation, and trajectory scheduling strategy. …”
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Nonlinear Modeling and Identification of an Aluminum Honeycomb Panel with Multiple Bolts by Yongpeng Chu, Hao Wen, Ti Chen

“…In particular, the linear material parameters of the panel are identified via experimental tests at low excitation levels, whereas the nonlinear material parameters of the thin layer are updated by using the genetic algorithm to minimize the residual error between the measured and the simulation data at a high excitation level. …”
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Direction Finding Using Multiple Sum and Difference Patterns in 4D Antenna Arrays by Quanjiang Zhu, Shiwen Yang, Ruilin Yao, Zaiping Nie

“…The full 4D array is divided into two subarrays and the differential evolution (DE) algorithm is used to optimize the time sequence of each subarray to generate multibeams at the center frequency and low sidebands. …”
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Study on Topological Modification Method Considering Torsional Deformation of Double Planetary Gear Shafts by Chen Xuehui, Pu Mingchun, Gao Ting, Zhang Xudong, Fang Weidong, Li Hao, Liu Wei

“…Based on the multi body gear bearing contact analysis (PLTCA) and the gear bearing contact analysis (LTCA), the bearing transmission error and the tooth surface load distribution coefficient under the deformation are solved; the optimization intelligent algorithm is used to solve the optimal solution of the modification parameters under the condition of the maximum modification amount of the tooth surface; the simulation results show that the proposed method can effectively reduce the unit length load of the tooth surface and the amplitude of the transmission error. …”
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Combined DFT and Fuzzy Based Faulty Phase Selection and Classification in a Series Compensated Transmission Line by Praveen Kumar Mishra, Anamika Yadav

“…In order to mitigate this problem, a combined discrete Fourier transform and fuzzy (CDFTF) based algorithm has been proposed in this paper. This method has been tested on a 400 km, 735 kV series compensated transmission line network and WSCC 3-machine 9-bus system for all fault types using MATLAB/Simulink and PSCAD platforms, respectively. …”
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Characterization of Short-Term Strength Properties of Fiber/Cement-Modified Slurry by Ping Jiang, Tianhao Mao, Na Li, Liang Jia, Fang Zhang, Wei Wang

“…A formula satisfying the accuracy requirement was obtained by fitting the stress-strain curves using the back propagation (BP) neural network algorithm. Five parameters, including peak strength, failure strain, initial elastic modulus, residual strength, and energy dissipation, were used to characterize the short-term strength properties of fiber/cement-modified slurry. …”
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Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases by Xin Liu, Yanju Zhou, Xiaohong Chen

“…Upon local characteristic time scale parameters of information flow, the phase position features of the outlier data before filtering are obtained; the decision-tree outlier-classification feature-filtering algorithm is adopted to acquire signals for analysis and instant amplitude and to achieve the phase-frequency characteristics of outlier data. …”
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Observer-Based Asynchronous Guaranteed Cost Control of 2-D Markov Jump Roesser Systems With Nonideal Transition Probabilities by Jiazheng Liu, Yang Yang, Yaru Song

“…Finally, an asynchronous observer-based optimal guaranteed cost controller design algorithm is proposed and two numerical examples are considered to demonstrate its effectiveness.…”
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Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo by Yufei Liu, Dechang Pi, Lin Cui

“…To handle real-world applications, we propose a community-level influence analysis algorithm called CIAA. Empirical studies on a real-world dataset from Sina Weibo demonstrate the superiority of the proposed model.…”
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An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis by Zhicheng Qiao, Yongqiang Liu, Yingying Liao

“…The crucial parameter penalty factor C and kernel parameter g of SVM are optimized by quantum genetic algorithm (QGA). Compared with traditional EWT and variational mode decomposition (VMD) methods, the effectiveness and advantages of this method are demonstrated in this study. …”
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