TD algorithm based on double-layer fuzzy partitioning by Xiang MU, Quan LIU, Qi-ming FU, Hong-kun SUN, Xin ZHOU

“…When dealing with the continuous space problems,the traditional Q-iteration algorithms based on lookup-table or function approximation converge slowly and are diff lt to get a continuous policy.To overcome the above weak-nesses,an on-policy TD algorithm named DFP-OPTD was proposed based on double-layer fuzzy partitioning and its convergence was proved.The first layer of fuzzy partitioning was applied for state space,the second layer of fuzzy parti-tioning was applied for action space,and Q-value functions were computed by the combination of the two layer fuzzy partitioning.Based on the Q-value function,the consequent parameters of fuzzy rules were updated by gradient descent method.Applying DFP-OPTD on two classical reinforcement learning problems,experimental results show that the algo-rithm not only can be used to get a continuous action policy,but also has a better convergence performance.…”
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On the existence of solutions of the system of nonlinear quasi-mixed equilibrium problems and their stability of the procedure scheme by Satit Saejung

“…Moreover, we show that the stability analysis of the iterative algorithm proposed in their work (and in (J. …”
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Power Resource Allocation Algorithm for Dual-Function Radar–Communication System by Yue Xiao, Zhenkai Zhang, Xiaoke Shang

“…Finally, the optimal value is combined with the original model and transformed into a single objective optimization model, and the optimal power is obtained by solving the model through the iterative optimization algorithm. Simulation results show that, compared with other power allocation algorithms, the proposed algorithm can achieve better radar-communication integration performance under the same transmit power.…”
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Robust Scheduling Method of TT＆C Resource in Satellite Network by Xiang JI, Runzi LIU, Chenhong YAO, Jianhao CHEN, Tao MU

“…The continuous growth of satellite network scale brings great challenges to the eff ective scheduling of TT＆amp;C resources.Aff ected by weather and other factors, the performance of the satellite-ground link is of high uncertainty.In order to took into both resource utilization and task reliability, a robust scheduling method of TT＆amp;C resources was proposed.This method could arranged the start time and duration of the transmission window for TT＆amp;C tasks by the predicted the channel state distribution of satelliteground link and the task distribution in the planning period, and optimized the resource allocation scheme by backward iteration to maximized the expected profit of the tasks.The experimental results showed that compared with the traditional non-robust scheduling method, the scheduling method proposed could obtain more task profi t under diff erent channel distributions and achieve the improvement of both resource utilization and task reliability.…”
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Fractional-Order Epidemic Model for Measles Infection by Philip N. A. Akuka, Baba Seidu, Eric Okyere, Stephen Abagna

“…Finally, the numerical solution of the model is executed employing the efficient and widely known Adams-type predictor-corrector iterative scheme, and simulation is conducted to investigate the impact of memory index and diverse preventive measures on the occurrence of the disease. …”
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MQHOA algorithm with energy level stabilizing process by Peng WANG, Yan HUANG

“…Energy level stabilization, en-ergy level reduction, scale reduction were the basic iterative convergence processes of MQHOA, coinciding with its physical model. …”
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A joint optimization algorithm based on energy efficiency maximization for massive MIMO systems by Haiyan CAO, Ruirui FENG, Xin FANG, Xiumin WANG, Fangmin XU

“…For the massive multi-cell multi-input multiple-output (MIMO) communication uplink system with unknown channel status information,a resource allocation algorithm which jointly optimizes the pilot sequence length,pilot symbol power and data symbol power was proposed.With the maximum ratio combining (MRC) receiver,the influence of circuit power was considered,pilot contamination and the constraint of maximum transmission power,and a nonconvex function modeled with the goal of maximizing energy efficiency (EE) was established.Firstly,the fractional form was transformed into an equivalent subtractive form by using the properties of fractional programming and then decomposed into a series of DC problems,finally,by using an iterative optimization algorithm,the three variables were alternately adjusted with maximizing the energy efficiency.Simulation results show that with the increasing of the maximum symbol transmission power,the proposed scheme can still have the great EE performance for the massive MIMO systems.…”
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Viscoelastic Flow through an Axisymmetric Contraction Using the Grid-by-Grid Inversion Method by H. M. Park

“…In this method, the hyperbolic constitutive equation is split such that the term for the convective transport of stress tensor is treated as a source which is updated iteratively. This allows the stress tensors at each grid point to be expressed in terms of velocity gradient tensor at the same location, and the set of stress tensor components is found after inverting a small matrix at each grid point. …”
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Power allocation algorithm of full duplex cognitive relay network based on energy harvesting by Shibing ZHANG, Liuke HAN, Meijuan ZHANG

“…To alleviate the shortage of spectrum resources and improve the power utilization of cognitive radio networks,a resource allocation algorithm of full duplex cognitive relay networks with energy harvesting was proposed.In the algorithm,the coefficient for power splitting of the relay and the transmit power of the secondary users were jointly optimized to maximize the throughput of the secondary users under the interference to primary users and energy harvesting constraints.Since the optimization of the algorithm was non-convex,it was transformed into two sub-optimizations,the sub-optimization of the coefficient for power splitting and the sub-optimization of the power transmitted of secondary users,which were the solvable convex sub-optimizations.Then,the final solution of the original optimization was obtained with the iterative algorithm.Simulation results show that the throughput of the proposed algorithm,can obtain 2 times throughput of the networks with half-duplex power splitting algorithm and 1.5 times throughput of the networks with full-duplex time switching algorithm.…”
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Multiple targets localization via compressive sensing from mere connectivity by Lei LIU, Jian-jun ZHANG, Yang LU, Xing WEI, Jiang-hong HAN

“…A multiple targets localization method was proposed from mere connectivity,and the multiple targets posi-tioning problem was converted to sparse vector resolving by compressive sensing theory,which was applied to the indoor localization of intensive references distribution.The connectivity to the references was collected as the only measurement data,and targets locations were figured out by minimum l₁-norm algorithm.When measurement data was compressed tol 1 bit,the fixed point iteration algorithm combined with semi-definite relax was proposed to figure out targets locations.As for the simulation results,compared with MDS-MAP,DV-Hop and RSS-CS algorithms,the average location error is less than 1 grid by the mere connectivity of N -bit and 1-bit quantization CS localization,of which the occupied bit quan-tity are reduced to less than 4 times and 16 times of RSS localization observation value respectively.…”
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DTW-based multi-wavelet data compression algorithm for wireless sensor networks by Si-wang ZHOU, Lan LI

“…Firstly, the correlation and warping path of asynchronous data point pairs is introduced, and then an iterative algo-rithm for solving DTW warping path with maximal similarity is designed. …”
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Neural network blind equalization optimized by parallel genetic algorithm with partial elitist strategy by Er-fu WANG, Yuan-shuo ZHENG, Xin-wu CHEN

“…The individual group was sorted according to the adaptation degree of the optimization iterative process, in order to integrate the advantages of genetic algorithm under the conditions of different genetic operators. …”
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Periodic Solution for a Max-Type Fuzzy Difference Equation by Changyou Wang, Jiahui Li

“…Then, the expression for the periodic solution of the max-type ordinary difference equations is obtained by the iteration, the inequality technique, and the mathematical induction. …”
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Face recognition using decision fusion of multiple sparse representation-based classifiers by Biao TANG, Wei JIN, Randi FU, Fei GONG

“…A new approach to face recognition combining decision fusion and multiple sparse representation-based classifiers was proposed to improve the robustness of the traditional methods.Different types of facial features were extracted,followed by training multiple sparse representation sub-classifiers,and then decision fusion was used to obtain the recognition result of the system.The significant advantage of the proposed scheme lines in that the final recognition results were not driven by averaging outputs of multiple sub-classifiers,but driven by combining multiple outputs via weighted fusion method.In particular,the fusion weights were adaptively determined by an iterative pro-cedure according to the different classification performance of each sub-classifier.Extensive experiments on Yale B,JAFFE and AR face databases demonstrate that the proposed approach is much more effective than state-of-the-art methods in dealing with lighting changes,expression changes and face occlusion and multi factor mixed interference.…”
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Erasure channel modelling–based secure bit allocation schemes for multipath routing in wireless sensor networks by Zhenhua Yuan, Chen Chen, Ye Jin

“…For the second one, we propose an iterative algorithm to obtain the η -optimal solution. …”
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Degradation Assessment of the Rolling Bearing Performance based on AR-FCM by Zhou Jianmin, Guo Huijuan, Zhang Long

“…The test data are put into the FCM model by keeping the model invariant and continuously iterating,and the performance degradation index is obtained. …”
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Study of high-speed malicious Web page detection system based on two-step classifier by Zheng-qi WANG, Xiao-bing FENG, Chi ZHANG

“…In view of the increasing number of new Web pages and the increasing pressure of traditional detection methods,the naive Bayesian algorithm and the support vector machine algorithm were used to design and implement a malicious Web detection system with both efficiency and function,TSMWD ,two-step malicious Web page detection.The first step of detection system was mainly used to filter a large number of normal Web pages,which was characterized by high efficiency,speed,update iteration easy,real rate priority.After the former filter,due to the limited number of samples,the main pursuit of the second step was the detection rate.The experimental results show that the proposed scheme can improve the detection speed of the system under the condition that the overall detection accuracy is basically the same,and can accept more detection requests in certain time.…”
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Choreography-driven business process management framework based on blockchain by Dongjin YU, Yijie WEI, Xiaoxiao SUN, Ke NI, Hujun SHEN

“…Aiming at the problems of high process instantiation cost and difficult version iteration in the current blockchain-based business process management systems, a choreography-driven blockchain business process management framework was proposed.The framework included a general smart contract that could be used to store business process choreography meta-models, model component evolution versions, and instance execution status.The cost of process model instantiation on the blockchain was significantly reduced by delaying model elements instantiation timing and integrating multiple process instances.At the same time, a version control method based on model data reuse and voting mechanism was introduced, so that process instances of different versions of orchestration models could be created in a single smart contract.A real case validates the effectiveness of the framework in distributed business process management.…”
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Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning by Zhe WANG, Taoshen LI, Lina GE, Guifen ZHANG, Min WU

“…To solve the problems of high complexity and poor real-time performance caused by traditional wireless resource management based on optimization methods, the energy efficiency maximization problem of sink node and its mathematical model were established for SWIPT-enabled sensor-cloud system, then the deep learning method was introduced to realize the solving and online decision-making with lower complexity and higher real-time performance.The mathematical model was transformed into a high-dimensional solvable form, and then a SWIFT-WMMSE algorithm with iterated forms was designed to solve optimal beamforming vector.The convergence of SWIPT-WMMSE algorithm was proved.Then, based on error propagation of DNN approximation, the scale design criteria for the DNN was deduced, and the approximation was realized through DNN training.Finally, the simulation results verify the effectiveness of SWIPT-WMMSE and DNN algorithm, as well as the approximation effect of DNN and its system performance gains.…”
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Beamforming design for energy-constrained full-duplex two-way relaying system by Wei WANG, Liyuan AN, Guoan ZHANG, Shibing ZHANG

“…A beamforming design was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.A utility optimization problem was considered aiming to maximize the harvested energy by jointly optimizing the beamforming matrix,the power splitting ratio at the relay and the transmit powers at the sources.Since the formulated joint optimization problem was nonconvex,it was difficult or even intractable to obtain the global optimal solution.To overcome this issue,the objective problem into three subproblems was decoupled which could be solved by the proposed semidefinite relaxation technique and the derived constraints activation solution,respectively.The solution was finally obtained with the proposed convergent iterative algorithm.Simulation results show that the proposed joint optimization scheme achieves the optimal performance.Compared with the traditional half-duplex (HD) algorithm,the proposed algorithm can obtain 2~3 times energy harvesting (EH) efficiency improvement,while the computational complexity increases slightly.…”
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