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    题名 作者 年代 出处 被引量
1Intelligent and efficient development of wireless networks:A review of cognitive radio networks显示文摘Facing the challenges on how to improve spectrum efficiency and how to realize heterogeneous network convergence in future wireless networks,a cognitive radio network(CRN) is proposed as one of the solutions.This has become a major research topic in recent years and it is timely to give an overview of the development of CRN and to summarize key issues and technologies.The fundamental concepts of CRN,including the cognitive cycle model,the network architecture,and the cognitive ability and intelligent decision functions,are introduced in detail based on recent advances.Key issues for each topic,followed with recent research on theory and method,are then classified and the industrialization developments of CRN testbeds based on TD-LTE cellular system and standards are briefly presented.Finally,conclusions are reached on the perspectives and directions of future development.ZHANG Ping LIU Yang FENG ZhiYong ZHANG QiXun LI Qian XU Ding 2012Chinese Science Bulletin2012,57,28:15
2Bad Data Detection Algorithm for PMU Based on Spectral Clustering显示文摘Phasor measurement units(PMUs) can provide real-time measurement data to construct the ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU data can be easily compromised by interference or synchronization jitter. It will lead to various levels of PMU data quality issues, which can directly affect the PMU-based application and even threaten the safety of power systems. In order to improve the PMU data quality, a data-driven PMU bad data detection algorithm based on spectral clustering using single PMU data is proposed in this paper. The proposed algorithm does not require the system topology and parameters. Firstly, a data identification method based on a decision tree is proposed to distinguish event data and bad data by using the slope feature of each data. Then, a bad data detection method based on spectral clustering is developed. By analyzing the weighted relationships among all the data, this method can detect the bad data with a small deviation. Simulations and results of field recording data test illustrate that this data-driven method can achieve bad data identification and detection effectively. This technique can improve PMU data quality to guarantee its applications in the power systems.Zhiwei Yang Hao Liu Tianshu Bi Qixun Yang 2020Journal of Modern Power Systems and Clean Energy2020,8,3:10
3In-situ fabrication of particulate reinforced aluminum matrix composites under high-frequency pulsed electromagnetic field显示文摘Pulsed magnetic field is generated when imposing pulse signal on high-frequency magnetic field. Distribution of the inner magnetic intensity in induction coils tends to be uniform. Furthermore oscillation and disturbance phenomena appear in the melt. In-situ Al2O3 and Al3Zr particulate reinforced aluminum matrix composites have been synthesized by direct melt reaction using Al-Zr(CO3)2 components under a foreign field. The size of reinforced particulates is 2-3 μm. They are well distributed in the matrix. Thermodynamic and kinetic analysis show that high-frequency pulsed magnetic field accelerates heat and mass transfer processes and improves the kinetic condition of in-situ fabrication.Guirong Li Yutao Zhao Qixun Dai Hongjie Zhang Hongming Wang 2007Journal of University of Science and Technology Beijing2007,14,5:8
4Two-dimensional vanadium carbide(V2CTx) MXene as supercapacitor electrode in seawater electrolyte显示文摘In this study,two-dimensional V2CTx MXene has been prepared by selectively etching Al layers from V2 AlC MAX phase by NaF+HCl etching at 90℃for 72 h and its performance as supercapacitor(SC)electrode were tested using simulating seawater as electrolyte.V2CTx MXene-based electrodes shows a good capacitance of 181.1 F/g,which is in accordance with the volumetric specific capacitance of 317.8 F/cm^3,and with 89.1%capacitance retention even after 5000 cycle.Compared with other MXenes,V2CTx have better electrochemical performance as SC electrode.This work provides an innovative strategy to apply V2CTx MXene as SC electrode in safety and effective seawater electrolyte.Hongtian He Qixun Xia Bingxin Wang Libo Wang Qianku Hu Aiguo Zhou 2020Chinese Chemical Letters2020,31,4:6
5Research progress on construction and energy storage performance of MXene heterostructures显示文摘MXenes are a family of two-dimensional (2D) transition metal carbides, carbonitrides/nitrides with superior physical and chemical properties, which have attracted extensive attention since the discovery in 2011. The impressive electrochemical activity of MXene makes it one of the most potential electrode materials in rechargeable batteries and supercapacitors. However, single-component MXene electrodes are difficult to achieve high specific capacity, efficient ion/electron transport, and high stability compatibility in an electrochemical environment. Studies have shown that it is an effective method to introduce nanomaterials between MXene layers to construct heterostructures and to improve the electrochemical performance through the synergistic effect among the components in the heterostructures. The introduction of nanomaterials can effectively suppress the restacking of MXene nanosheets, shorten the diffusion path of ions and promote the electrolyte transport, which is beneficial to enhance the rate performance of MXene;moreover, the excellent mechanical flexibility of MXene can reduce the volume expansion of nanomaterials during charge/discharge, thereby effectively protecting the integrity of the electrode structure and improving the cycling stability. Therefore, in this review, combined with theoretical calculations, we summarize the recent advances of MXene heterostructures in terms of synthesis strategies and energy storage applications, including supercapacitors, metal-ions batteries (Li, Na, K, Mg, Zn, Al) and metal anode protection. Furthermore, potential challenges and application perspectives for MXene heterostructures are also outlined.Fanfan Liu Sen jin Qixun Xia Aiguo Zhou Li-Zhen Fan 2021Journal of Energy Chemistry2021,30,11:5
6Reconfiguration decision making in cognitive wireless network显示文摘Facing the challenges of dynamic adaptation capabilities in the time-varying environment of cognitive wireless networks(CWNs),we introduce reconfiguration capabilities that flexibly and dynamically adapt to changing wireless environments and service requirements.As an essential characteristic of CWNs,the cognitive reconfiguration can meet user requirements,realize interoperability between heterogeneous networks,make full use of radio resources and adapt to time-varying environments to achieve end-to-end requirements.However,the reconfiguration implementation is still challenging due to the need for complex environment cognition,multi-objective optimization,autonomic decision-making and end-to-end requirement extraction.As an intelligent technology for solving complex issues,we apply adaptive neuro-fuzzy inference system(ANFIS) techniques in this paper to address these challenges in cognitive reconfiguration for self-learning and optimal decision making based on multi-domain cognition results.Moreover,this paper designs a generic ANFIS cognitive reconfiguration system including three functional entities,which are the context management module,multi-domain database and ANFIS optimization module.Finally,numerous results prove the effective performance improvements of the ANFIS based reconfiguration solution in CWN for global end-to-end goals.ZHANG Ping HE Qian FENG ZhiYong ZHANG QiXun 2012Chinese Science Bulletin2012,57,28:5
7From structural ceramics to 2D materials with multi-applications:A review on the development from MAX phases to MXenes显示文摘MAX phases(Ti_(3)SiC_(2),Ti_(3)AIC_(2),V_(2)AlC,TiqAlN_(3),etc.)are layered ternary carbides/nitrides,which are generally processed and researched as structure ceramics.Selectively removing A layer from MAX phases,MXenes(Ti_(3)C_(2),V_(2)C,Mo_(2)C,etc.)with two-dimensional(2D)structure can be prepared.The MXenes are electrically conductive and hydrophilic,which are promising as functional materials in many areas.This article reviews the milestones and the latest progress in the research of MAX phases and MXenes,from the perspective of ceramic science.Especially,this article focuses on the conversion from MAX phases to MXenes.First,we summarize the microstructure,preparation,properties,and applications of MAX phases.Among the various properties,the crack healing properties of MAX phase are highlighted.Thereafter,the critical issues on MXene research,including the preparation process,microstructure,MXene composites,and application of MXenes,are reviewed.Among the various applications,this review focuses on two selected applications:energy storage and electromagnetic interference shielding.Moreover,new research directions and future trends on MAX phases and MXenes are also discussed.Aiguo ZHOU Yi LIU Shibo LI Xiaohui WANG Guobing YING Qixun XIA Peigen ZHANG 2021Journal of Advanced Ceramics2021,10,6:4
8Robust reliable guaranteed cost control for uncertain singular systems with time-delay显示文摘The robust reliable guaranteed cost control for uncertain singular delay systems with actuator failures and a given quadratic cost function is studied. The system under consideration involves constant time-delay and norm-bounded parameter uncertainties. The purpose is to design state feedback controllers which can tolerate actuator failure, such that the closed-loop system is stable, and the specified cost function has an upper bound for all admissible uncertainties. The sufficient conditions for the solvability of this problem are obtained by a linear matrix inequality (LMI) method. Furthermore, a numerical example is given to demonstrate the applicability of the proposed approach.Qixun Lan Yuxiao Liu Huawei Niu Jiarong Liang 2010Journal of Systems Engineering and Electronics2010,21,1:4
9Coexistence Analysis between 5G System and Fixed- Satellite Service in 3400-3600 MHz显示文摘The 3400-3600 MHz band is one of the most important candidate frequency bands for the rollout of 5 G system. However, the coexistence between 5 G system and fixed-satellite service(FSS) in this frequency band is one of the most challenging problems for both academic researchers and industry engineers. In this paper, the saturation interference from 5 G base stations to the existing FSS above 3600 MHz is analyzed and the coexistence solution is achieved, which can reduce the interference and guarantee the coexistence between 5 G system and FSS. Furthermore, the Monte Carlo simulation, laboratory test and field test are carried out to verify the coexistence solution.Results show that an isolation distance of 1-2 km is required to avoid the saturation interference in terms of the adjacent bands scenario.To further reduce the isolation distance to 50 m, additional isolation of 35 dB will be necessary, which can be fulfilled by installing a filter at the input port of LNB from a real implementation perspective.Haifeng Tan Yanjie Liu Zhiyong Feng Qixun Zhang 2018China Communications2018,15,11:4
10Fractal theory based dynamic mesh grouping scheme for efficient cognitive pilot channel design显示文摘As one of the key characteristics in cognitive wireless networks(CWNs),network environment awareness techniques have received much attention recently.Instead of traditional spectrum sensing technology that suffers from problems of miss detection,false alarm,hidden node,and inefficiency,cognitive pilot channel(CPC) technology has been proposed as one of the candidate solutions for an efficient and accurate network information delivery scheme to user equipment(UE).The aim of the CPC technology is to provide the necessary information for the reconfiguration of the UE using the public signaling channel.To ensure the efficient information delivery,the whole geographical area covered by the CPC is divided into square meshes of the same size.Moreover,two typical network information transmission modes for CPC deployment are also proposed:broadcast CPC mode and on-demand CPC mode.To further improve the efficiency of network information delivery,an efficient dynamic mesh grouping scheme has been designed which is based on the fractal theory for the broadcast CPC mode,where adaptive rectangular sized meshes are used to approximately cover the whole area.Compared to the traditional fixed size mesh division strategy,results show that the proposed dynamic mesh grouping scheme significantly reduces the number of meshes by grouping similar meshes together,and the average delay of receiving CPC information on the UE side is therefore reduced.FENG ZhiYong WEI ZhiQing ZHANG QiXun ZHANG Ping 2012Chinese Science Bulletin2012,57,28:3
11Autonomous live working robot navigation with real-time detection and motion planning system on distribution line显示文摘In this study,an autonomous robot navigation system is designed for live working on distribution line.The developed system features a real-time detection and motion planning system,incorporating a manipulator capable of grasping power components.In order to accurately identify targets,the authors propose an object detection method based on the Larger Scale‘You Only Look Once’Version 4(LS-YOLOv4)algorithm for detecting the insulators and drop fuses.The LS-YOLOv4 extracts features of power components by Convolutional Neural Network(CNN),and then performs feature fusion.Then the authors develop a motion planning method based on the Node Control Optimal Rapidly Exploring Random Trees(NC-RRT*),which can drive the robot to realise the autonomous robot motion planning and obstacle avoidance.On the grasping function,the authors present a reliable Lightweight-based Convolutional Neural Network(L-CNN)grasping point detection method.Finally,the authors evaluate fully autonomous robotic system in both simulated and real-world experiments.The experimental results demonstrate that the proposed system can effectively identify the target and complete the grasping task in an efficient way.Notably,the proposed motion planning method can take into account both planning efficiency and accuracy to manipulation tasks.Haoning Zhao Chaoqun Wang Rui Guo Xuewen Rong Jiamin Guo Qixun Yang Lecheng Yang Yuliang Zhao Yibin Li 2022High Voltage2022,7,6:2
12Cutting Performance and Mechanism of RE Carbide Tools显示文摘The research of rare earth elements (RE), added into cemented carbide tools, is one of the recent developments of new types of tool materials in China. Systematic experiments about RE carbides YG8R (K30), YT14R (P20) and YW1R (M10) were made to study on the cutting performance in comparison with non-RE carbides YG8, YT14 and YW1. The cntting experiments were as follows: tool life, cutting force, tool-chip friction coefficient and interrupted machining. The action of RE on the carbide materials and the cutting mechanism of the RE carbide tools in the cutting process were verified with the aid of SEM and energy spectrum analysis. Experimental results show that the RE carbide tools have a good overall performance.Jianbing Cheng, Yufang Wu, Qixun Yu 1) Department of Mechanical Engineering, Beijing Technology and Business University, Beijing 100037, China 2) College of Mechanical Engineering and Automation, Beijing Institute of Technology Beijing 100081, China 2001Rare Metals2001,20,3:2
13Synthesis and electrochemical properties of V_(2)C MXene by etching in opened/closed environments显示文摘The effect of etching environment(opened or closed)on the synthesis and electrochemical properties of V_(2)C MXene was studied.V_(2)C MXene samples were synthesized by selectively etching of V2AlC at 90℃in two different environments:opened environment(OE)in oil bath pans under atmosphere pressure and closed environment(CE)in hydrothermal reaction kettles under higher pressures.In OE,only NaF(sodium fluoride)+HCl(hydrochloric acid)etching solution can be used to synthesize highly pure V_(2)C MXene.However,in CE,both LiF(lithium fluoride)+HCl and NaF+HCl etchant can be used to prepare V_(2)C MXene.Moreover,the V_(2)C MXene samples made in CE had higher purity and better-layered structure than those made in OE.Although the purity of V_(2)C obtained by LiF+HCl is lower than that of V_(2)C obtained using NaF+HCl,it shows better electrochemical performance as anodes of lithium-ion batteries(LIBs).Therefore,etching in CE is a better method for preparing highly pure V_(2)C MXene,which provides a reference for expanding the synthesis methods of V_(2)C with better electrochemical properties.Meng WU Yan HE Libo WANG Qixun XIA Aiguo ZHOU 2020Journal of Advanced Ceramics2020,9,6:2
14DC side short circuit transient simulation of DC traction power supply system显示文摘 Qin lijun Yang qixun Ding fuhua 2004International Conference on Power System Technology2004,1,4:1
15Study on the adaptability of thick film diamond tool to cutting composites显示文摘Quan Yanmin Yu Qixun Xie Lijing 2002International Journal of Machine Tools and Manufacture2002,42,:1
16Analysis of nonlinear torsional dynamics using second-order solutions显示文摘Chen Wuhui Bi Tianshu Yang Qixun 0,,01:1
17Fairness guaranteed joint CRE and eICIC scheme for capacity improvement in two-tier heterogeneous networks 显示文摘Zhang Qixun Yang Tuo Zhang Yue 2014Electronics Letters2014,50,24:1
18High-cycle fatigue behavior of high-nitrogen austenitic stainless steel 显示文摘Qixun Dai Zhizhong Yuan Xi Chen 2009Materials Science and Engineering2009,517,:1
19GCN-LSTM spatiotemporal-network-based method for post-disturbance frequency prediction of power systems显示文摘Owing to the expansion of the grid interconnection scale,the spatiotemporal distribution characteristics of the frequency response of power systems after the occurrence of disturbances have become increasingly important.These characteristics can provide effective support in coordinated security control.However,traditional model-based frequencyprediction methods cannot satisfactorily meet the requirements of online applications owing to the long calculation time and accurate power-system models.Therefore,this study presents a rolling frequency-prediction model based on a graph convolutional network(GCN)and a long short-term memory(LSTM)spatiotemporal network and named as STGCN-LSTM.In the proposed method,the measurement data from phasor measurement units after the occurrence of disturbances are used to construct the spatiotemporal input.An improved GCN embedded with topology information is used to extract the spatial features,while the LSTM network is used to extract the temporal features.The spatiotemporal-network-regression model is further trained,and asynchronous-frequency-sequence prediction is realized by utilizing the rolling update of measurement information.The proposed spatiotemporal-network-based prediction model can achieve accurate frequency prediction by considering the spatiotemporal distribution characteristics of the frequency response.The noise immunity and robustness of the proposed method are verified on the IEEE 39-bus and IEEE 118-bus systems.Dengyi Huang Hao Liu Tianshu Bi Qixun Yang 2022Global Energy Interconnection2022,5,1:1
20Analysis of nonlinear torsional dynamics using second-order solutions显示文摘Chen Wuhui Bi Tianshu Yang Qixun 2010IEEE Transactions on Power Systems2010,25,1:1
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