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Chinese Physics B 2022年第12期31卷 118-135页

作者： Hai-Zhu Pan Mo-Qi Liu Hai-Miao Ge Qi Yuan College of Computer and control Engineering Qiqihar UniversityQiqihar 161000China College of telecommunication and Electronic Engineering Qiqihar UniversityQiqihar 161000China

Benefiting from the development of hyperspectral imaging technology,hyperspectral image(HSI)classification has become a valuable direction in remote sensing image ***,researchers have found a connection between convolutional neural networks(CNNs)and Gabor ***,some Gabor-based CNN methods have been proposed for HSI ***,most Gabor-based CNN methods still manually generate Gabor filters whose parameters are empirically set and remain unchanged during the CNN learning ***,these methods require patch cubes as network *** patch cubes may contain interference pixels,which will negatively affect the classification *** address these problems,in this paper,we propose a learnable three-dimensional(3D)Gabor convolutional network with global affinity attention for HSI *** precisely,the learnable 3D Gabor convolution kernel is constructed by the 3D Gabor filter,which can be learned and updated during the training ***,spatial and spectral global affinity attention modules are introduced to capture more discriminative features between spatial locations and spectral bands in the patch cube,thus alleviating the interfering pixels *** results on three well-known HSI datasets(including two natural crop scenarios and one urban scenario)have demonstrated that the proposed network can achieve powerful classification performance and outperforms widely used machine-learning-based and deep-learning-based methods.

关键词： image processing remote sensing 3D Gabor filter neural networks global affinity attention

Exponential Synchronization of Impulsive Complex Networks with Output Coupling

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International Journal of Automation and computing 2013年第4期10卷 350-359页

作者： Yue-Hui Zhao Jin-Liang Wang College of Post and telecommunication of Wuhan Institute of Technology Science and Technology on Aircraft control Laboratory School of Automation Science and Electrical Engineering Beihang University

This paper proposes a new impulsive complex delayed dynamical network model with output coupling, which is totally different from some existing network models. Then, by employing impulsive delay differential inequalities, some sufficient conditions are obtained to guarantee the global exponential state synchronization and output synchronization of the impulsive complex delayed dynamical network. Finally, two numerical examples are given to demonstrate the effectiveness of the obtained results.

关键词： Impulsive complex networks output coupling state synchronization output synchronization impulsive delay differential inequalities.

An Embedded Consensus ADMM Distribution Algorithm Based on Outer Approximation for Improved Robust State Estimation of Networked Microgrids

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1217-1226页

作者： Zifeng Zhang Yuntao Ju State Grid Information&telecommunication Group Co. Ltd.Beijing BranchBejingChina School of Electrical and control Engineering North China University of TechnologyBeijingChina

Networked microgrids(NMGs)are critical in theaccommodation of distributed renewable ***,theexisting centralized state estimation(SE)cannot meet the demandsof NMGs in distributed energy *** currentestimator is also not robust against bad *** study introducesthe concepts of relative error to construct an improvedrobust SE(IRSE)optimization model with mixed-integer nonlinearprogramming(MINLP)that overcomes the disadvantage ofinaccurate results derived from different measurements whenthe same tolerance range is considered in the robust SE(RSE).To improve the computation efficiency of the IRSE optimizationmodel,the number of binary variables is reduced based on theprojection statistics and normalized residual methods,which effectivelyavoid the problem of slow convergence or divergenceof the algorithm caused by too many integer ***,an embedded consensus alternating direction of multiplier method(ADMM)distribution algorithm based on outer approximation(OA)is proposed to solve the IRSE optimization *** algorithm can accurately detect bad data and obtain SE resultsthat communicate only the boundary coupling informationwith *** tests show that the proposed algorithmeffectively detects bad data,obtains more accurate SE results,and ensures the protection of private information in all microgrids.

关键词： Distributed optimization alternating direction of multiplier methods(ADMM) robust state estimation(RSE) mixed-integer nonlinear programming(MINLP) networked microgrid(NMG)

Feedback threshold with guaranteed QoS in multiuser OFDM systems

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The Journal of China Universities of Posts and telecommunications 2009年第2期16卷 24-28页

作者： YANG Rui-zhe YUAN Chao-wei TENG Ying-lei ZHANG Yan-hua School of Information and telecommunication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China School of Electronic Information and control Engineering Beijing University of Technology Beijing 100124 China

A threshold setting scheme is proposed based on the resource management and limited feedback theory in multiuser orthogonal frequency division multiplexing （OFDM） systems. In adaptive resource allocation, the factors denoting the quality of service （QoS） and fairness are both considered as the user weight. From the aspect of feedback outage probability, the proposed algorithm sets the threshold for each user related to its weight, which brings enough feedback to the user with greater weight. Analysis and simulation results show that, compared with the threshold ignoring weights, the proposed scheme has much lower feedback load while with better QoS.

关键词： OFDM multiuser multimedia traffic limited feedback

Multi-user selection based on particle swarm optimization and power control scheme in the uplink CoMP-MU-MIMO system

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The Journal of China Universities of Posts and telecommunications 2013年第5期20卷 79-84页

作者： LIU Jian LI Xi JI Hong ZHANG Xiao-liang School of telecommunication Engineering Beijing University of Posts and Telecommunications

Orthogonal frequency division multiplexing （OFDM） which has been adopted in the long-term evolution （LTE） system can improve the system capacity obviously. However, it also brings about severe inter-cell interference （ICI） for cell-edge users （CEUs）. To tackle this problem, multi-user selection and power control （MuS-PC） is proposed as an efficient scheme in uplink coordinated multi-point multi-user multi-input multi-output （CoMP-MU-MIMO） transmission/reception. This paper jointly considers user＇s signal to interference plus noise ratio （S1NR） and proportional fairness （PF） to maximize the total channel capacity in multi-user selection by formulating a penalty function. To simplify the penalty function＇s computation, particle swarm optimization （PSO） algorithm is introduced. In addition, power control is adopted to maximize overall energy efficiency. Simulation results demonstrate that the MuS-PC scheme can not only obtain the optimal total channel capacity while guarantee each user＇s quality of service （QoS） and PF, but also largely reduce computational complexity and improve energy efficiency. As a result, the poor communication quality of CEUs can be enhanced.

关键词： CoMP-MU-MIMO system PSO algorithm penalty ftmction multi-user selection power control zero forcing (ZF) equalization

QoE based power control scheme for interference mitigation in high-density WLANs

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The Journal of China Universities of Posts and telecommunications 2016年第2期23卷 24-30页

作者： Wang Yiqing Wen Xiangming Hu Zhiqun Lu Zhaoming School of telecommunication Engineering Beijing University of Posts and Telecommunications

Mobile data traffic is going through an explosive growth recently as mobile smart devices become more and more ubiquitous, causing huge pressure on cellular network. Taking advantage of its low cost and easy-to-deploy feature, wireless local-area networks（WLAN） becomes increasingly popular to offload data streams from cellular network, followed by higher and higher density of its deployment. However, the high density of WLAN will cause more interference, which results in degradation of its performance. Therefore, in order to enhance the performance of the network, we aim to minimize the interference caused by high density of WLAN. In this paper, we propose a novel power control scheme to achieve the above aim. We use the quality of experience（QoE） evaluation to coordinate the power of each access point（AP） and finally realize the optimization of the entire network. According to the simulation results, our scheme improves the performance of the network significantly in many aspects, including throughput and QoE.

关键词： power control high-density WLAN interference mitigation QoE

A modified colonial competitive algorithm for optimizing convex functions

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International Journal of Intelligent Computing and Cybernetics 2013年第4期6卷 370-385页

作者： Mahsan Esmaeilzadeh telecommunication Company of Tehran(TCT) TehranIran

Purpose–This article is going to introduce a modified variant of the imperialist competitive algorithm(ICA).The paper aims to discuss these ***/methodology/approach–ICA is a meta-heuristic algorithm that is introduced based on a socio-politically motivated global search *** is a population-based stochastic algorithm to control more *** most powerful countries are imperialists and the weakest countries are *** movement toward their relevant imperialist,and making a competition among all empires to posses the weakest colonies of the weakest empires,form the basis of the *** fact that the imperialists also need to model and they move towards top imperialist state is the most common type of political rules from around the *** paper exploits these new *** modification is the empire movement toward the superior empire for balancing the exploration and exploitation abilities of the ***–The algorithms are used for optimization that have shortcoming to deal with accuracy rate and local optimum trap and they need complex tuning *** is proposed a way for optimizing convex function with high accuracy and avoiding to trap in local optima rather than using original ICA algorithm by implementing some modification on ***/value–Therefore,several solution procedures,including ICA,modified ICA,and genetic algorithm and particle swarm optimization algorithm are ***,numerical experiments are carried out to evaluate the effectiveness of models as well as solution *** results present the suitability of the proposed modified ICA for convex functions with little fluctuations.

关键词： Evolutionary computation Genetic algorithms

Detecting Icing on the Blades of a Wind Turbine Using a Deep Neural Network

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Computer Modeling in Engineering & Sciences 2023年第2期134卷 767-782页

作者： Tingshun Li Jiaohui Xu Zesan Liu Dadi Wang Wen Tan School of control and Computer Engineering North China Electric Power UniversityBeijing102206China R&D State Grid Information&Telecommunication Group Co.Beijing102211China

The blades of wind turbines located at high latitudes are often covered with ice in late autumn and winter,where this affects their capacity for power generation as well as their *** identifying the icing of the blades of wind turbines in remote areas is thus important,and a general model is needed to this *** paper proposes a universal model based on a Deep Neural Network(DNN)that uses data from the Supervisory control and Data Acquisition(SCADA)*** datasets from SCADA are first preprocessed through undersampling,that is,they are labeled,normalized,and *** features of icing of the blades of a turbine identified in previous studies are then used to extract training data from the training dataset.A middle feature is proposed to show how a given feature is correlated with icing on the *** indicators for the model,including a reward function,are also designed to assess its predictive ***,the most suitable model is used to predict the testing data,and values of the reward function and the predictive accuracy of the model are *** proposed method can be used to relate continuously transferred features with a binary status of icing of the blades of the turbine by using variables of the middle *** results here show that an integrated indicator systemis superior to a single indicator of accuracy when evaluating the prediction model.

关键词： DNN predicting blade icing SCADA data wind power reward function

Resource allocation for D2D-assisted haptic communications

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Digital Communications and Networks 2024年第1期10卷 63-74页

作者： Yan Wu Chao Yue Yang Yang Liang Ao College of telecommunication Engineering Army Engineering University of PLANanjing210000China

Haptic communications is recognized as a promising enabler of extensive services by enabling real-time haptic control and feedback in remote environments,e.g.,teleoperation and autonomous *** the strict transmission requirements on reliability and latency,Device-to-Device(D2D)communications is introduced to assist haptic *** particular,the teleoperators with poor channel quality are assisted by auxiliaries,and each auxiliary and its corresponding teleoperator constitute a D2D ***,the haptic interaction and the scarcity of radio resources pose severe challenges to the resource allocation,especially facing the sporadic packet ***,the contentionbased access scheme is applied to achieve low-latency transmission,where the resource scheduling latency is omitted and users can directly access available *** this context,we derive the reliability index of D2D pairs under the contention-based access scheme,i.e.,closed-loop packet error ***,the reliability performance is guaranteed by bidirectional power control,which aims to minimize the sum packet error probability of all D2D *** game theory is introduced to solve the problem with low ***,a distributed power control algorithm based on synchronous log-linear learning is proposed to converge to the optimal Nash *** results demonstrate the superiority of the proposed learning algorithm.

关键词： Haptic communications D2D Power control Contention-based access Potential game

Coexistence of antiferromagnetism and unconventional superconductivity in a quasi-one-dimensional flat-band system:Creutz lattice

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Chinese Physics B 2024年第3期33卷 583-588页

作者：徐峰张磊 School of Physics and telecommunication Engineering Shaanxi University of TechnologyHanzhong 723001China

We study the coexistence of antiferromagnetism and unconventional superconductivity on the Creutz lattice which shows strictly flat bands in the noninteracting *** famous renormalized mean-field theory is used to deal with strong electron-electron repulsive Hubbard interaction in the effective low-energy t-J model,the superfluid weight of the unconventional superconducting state has been calculated via the linear response *** unconventional superconducting state with both spin-singlet and staggered spin-triplet pairs emerges beyond a critical antiferromagnetic coupling interaction,while antiferromagnetism accompanies this *** superconducting state with only spin-singlet pairs is dominant with paramagnetic *** A phase is analogous to the pseudogap phase,which shows that electrons go to form pairs but do not cause a *** also show the superfluid behavior of the unconventional superconducting state and its critical *** is proven directly that the flat band can effectively raise the critical temperature of *** is implementable to simulate and control strongly-correlated electrons'behavior on the Creutz lattice in the ultracold atoms experiment or other artificial *** results may help the understanding of the interplay between unconventional superconductivity and magnetism.

关键词： flat-band unconventional superconductivity antiferromagnetism strong electron-electron interaction superfluid weight