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Zinc-based fiber-shaped rechargeable batteries:Insights into structures,electrodes,and electrolytes

Nano Research 2025年第1期18卷 278-293页

作者： Xuan Zhang Hongcheng Zhang Mengxiang Chen Jingqi Lu Evgeny Zhuravlev Jing Jiang Pin Liu Shengyang Dong Du Yuan Guoyin Zhu Lianbo Ma Yizhou Zhang Institute of Advanced Materials and Flexible Electronics(IAMFE) School of Chemistry and Materials ScienceNanjing University of Information Science and TechnologyNanjing 210044China school of Materials Science and engineering Anhui University of TechnologyMaanshan 243002China College of Materials Science and engineering Changsha University of Science and TechnologyChangsha 410004China

The rapid evolution of flexible wearable electronics has spurred a growing demand for energy storage devices,characterized by low-cost manufacturing processes,high safety standards,exceptional electrochemical performance and robust mechanical *** novel flexible devices,fiber-shaped batteries(FSBs)have emerged as prominent solutions exceptionally suited to future applications,owing to their unique one-dimensional(1D)architecture,remarkable flexibility,potential for miniaturization,adaptability to deformation and compatibility with the conventional textile *** the forefront research on fiber-shaped batteries,zincbased FSBs(ZFSBs)have garnered significant attentions,featured by the promising electrochemical properties of metallic *** enthusiasm is driven by the impressive capacity of Zn(820 mAh·g^(-1))and its low redox potential(Zn/Zn^(2+):-0.76 V *** hydrogen electrode).This review aims to consolidate recent achievements in the structural design,fabrication processes and electrode materials of flexible ***,we highlight three representative structural configurations:parallel type,twisted type and coaxial *** also place special emphasis on electrode modifications and electrolyte ***,we delve into the promising development opportunities and anticipate future challenges associated with ZFSBs,emphasizing their potential roles in powering the next generation of wearable electronics.

关键词： zinc-based batteries fiber-shape parallel type twisted type coaxial type

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Distributed fiber optic sensing system for vibration monitoring of 3D printed bridges

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Optoelectronics Letters 2025年第1期21卷 28-34页

作者： ZHAO Shuai ZHOU Ran LUO Mingming LIU Jianfei LIU Xiongfei ZHOU Tao school of Electronic information engineering Hebei University of Technology Tianjin Key Laboratory of Electronic Materials and Devices school of Civil engineering and Transportation Hebei University of Technology Tianjin Jinhang Institute of Technical Physics

The fiber optic sensing technology provides data support in structural health monitoring of the macro facilities, including design, construction, and maintenance of bridges, tunnels, ports and other infrastructures. In this paper, a distributed vibration sensing system is proved to be responsive to a single touch over a 1.8-m-long equivalent fiber segment, covering a vibration frequency from 5 Hz to 25 kHz. The sensing fiber was arranged as an S type layout on the bridge to recognize the standing state, windblown disturbance, and walking vibration. Moreover, the knocking and climbing events are recognized fiber laying spinning lines and hanging on the fences, respectively. The demonstration shows an accurate positioning and sensitive vibration monitoring applied on the automated three-dimensional(3D) printed bridge, which is applicable to all kinds of 3D printed facilities as intelligent sensory neuro-networks.

关键词： Spinning (fibers)

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A Novel Goodness of Fit Test Spectrum Sensing Using Extreme Eigenvalues

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Chinese Journal of Electronics 2020年第6期29卷 1201-1206页

作者： LI He ZHAO Wenjing LIU Chang JIN Minglu YOO Sang-Jo school of information and communication engineering Dalian University of Technology Department of information and communication engineering Inha University

The existing Goodness of fit(GoF) test based spectrum sensing algorithms mostly use samples or energies as observations to make decisions,which can hardly achieve satisfactory performance especially when the Primary user(PU) signals are highly ***,the eigenvalue of covariance matrix can reflect signal correlations *** by this,we study the distribution of eigenvalue and propose an eigenvalue based GoF spectrum sensing *** the proposed scheme,we use the ratios of maximum to minimum eigenvalue as observations and thus it can bring performance improvements through capturing correlation of PU *** also provide the related theoretical analysis for the proposed *** results show that the proposed method overcomes the problem of noise uncertainty and achieves performance improvement over the classical samples-based GoF test.

关键词： eigenvalue based GoF spectrum sensing algorithm GoF test based spectrum sensing algorithm primary user signal covariance matrix eigenvalue Radio links and equipment eigenvalues and eigenfunctions signal detection Algebra goodness of fit test spectrum sensing algorithm Linear algebra (numerical analysis) signal sampling signal denoising radio spectrum management correlation methods covariance matrices Signal detection signal correlation

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Quantum-inspired bacterial foraging algorithm for parameter adjustment in green cognitive radio

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Journal of Systems engineering and Electronics 2015年第5期26卷 897-907页

作者： Hongyuan Gao Chenwan Li school of information and communication engineering Harbin Engineering University

Parameter adjustment that maximizes the energy efficiency of cognitive radio networks is studied in this paper where it can be investigated as a complex discrete optimization problem. Then a quantum-inspired bacterial foraging algorithm(QBFA)is proposed. Quantum computing has perfect characteristics so as to avoid local convergence and speed up the optimization of QBFA. A proof of convergence is also given for this *** superiority of QBFA is verified by simulations on three test functions. A novel parameter adjustment method based on QBFA is proposed for resource allocation of green cognitive radio. The proposed method can provide a globally optimal solution for parameter adjustment in green cognitive radio networks. Simulation results show the proposed method can reduce energy consumption effectively while satisfying different quality of service(Qo S)requirements.

关键词： green cognitive radio parameter adjustment quantum computing bacterial foraging algorithm

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Multi-narrowband signals receiving method based on analog-to-information convertor and block sparsity

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Journal of Systems engineering and Electronics 2017年第4期28卷 643-653页

作者： Hongyi Xu Haiqing Jiang Chaozhu Zhang school of information and communication engineering Harbin Engineering University school of information and Electronic engineering Beijing Institute of Technology

The analog-to-information convertor (AIC) is a successful practice of compressive sensing (CS) theory in the analog signal acquisition. This paper presents a multi-narrowband signals sampling and reconstruction model based on AIC and block sparsity. To overcome the practical problems, the block sparsity is divided into uniform block and non-uniform block situations, and the block restricted isometry property and sub-sampling limit in different situations are analyzed respectively in detail. Theoretical analysis proves that using the block sparsity in AIC can reduce the restricted isometric constant, increase the reconstruction probability and reduce the sub -sampling rate. Simulation results show that the proposed model can complete sub -sampling and reconstruction for multi-narrowband signals. This paper extends the application range of AIC from the finite information rate signal to the multi-narrowband signals by using the potential relevance of support sets. The proposed receiving model has low complexity and is easy to implement, which can promote the application of CS theory in the radar receiver to reduce the burden of analog-to digital convertor (ADC) and solve bandwidth limitations of ADC.

关键词： compressive sensing (CS) block sparsity analog-to-information convertor (AIC) multi-narrowband signals

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Location-Based Data Dissemination for Spatial Queries in Wireless Broadcast Environments

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Journal of Computer Science & Technology 2010年第2期25卷 330-346页

作者： Kwangjin Park Hyunseung Choo school of Electrical Electronics and information engineering Wonkwang University school of information and communication engineering Sungkyunkwan University

Most current research on Location-Based Services （LBSs, for short） assumes point-to-point wireless commu- nication, where the server processes a query and returns the query result to the user via a point-to-point wireless channel. However, LBSs via point-to-point wireless channel suffer from a tremendous amount of tramc and service requests from the user and thereby result in poor performance. In this paper, we present broadcast-based spatial query processing algorithms designed to support k-NN （k-Nearest Neighbor） and range queries via a wireless network. The task of the query processor is to selectively monitor the wireless broadcast channel, when the data items are disseminated by the server, according to their locations. Experiments are conducted to evaluate the performance of the proposed algorithms. Comprehensive experiments illustrate that the presented algorithms are highly scalable and are more efficient than the previous techniques in terms of both access time and energy consumption.

关键词： distributed databases indexing methods information storage and retrieval spatial databases and GIS

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Adaptive block greedy algorithms for receiving multi-narrowband signal in compressive sensing radar reconnaissance receiver

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Journal of Systems engineering and Electronics 2018年第6期29卷 1158-1169页

作者： ZHANG Chaozhu XU Hongyi JIANG Haiqing school of information and communication engineering Harbin Engineering University school of information and Electronics Beijing Institute of Technology

This paper extends the application of compressive sensing(CS) to the radar reconnaissance receiver for receiving the multi-narrowband signal. By combining the concept of the block sparsity, the self-adaption methods, the binary tree search,and the residual monitoring mechanism, two adaptive block greedy algorithms are proposed to achieve a high probability adaptive reconstruction. The use of the block sparsity can greatly improve the efficiency of the support selection and reduce the lower boundary of the sub-sampling rate. Furthermore, the addition of binary tree search and monitoring mechanism with two different supports self-adaption methods overcome the instability caused by the fixed block length while optimizing the recovery of the unknown *** simulations and analysis of the adaptive reconstruction ability and theoretical computational complexity are given. Also, we verify the feasibility and effectiveness of the two algorithms by the experiments of receiving multi-narrowband signals on an analogto-information converter(AIC). Finally, an optimum reconstruction characteristic of two algorithms is found to facilitate efficient reception in practical applications.

关键词： compressive sensing(CS) adaptive greedy algorithm block sparsity analog-to-information convertor(AIC) multinarrowband signal

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A stereo matching algorithm using multi-peak candidate matches and geometric constraints

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Chinese Optics Letters 2008年第6期6卷 465-468页

作者：管业鹏 school of communication and information engineering Shanghai University

Gray cross correlation matching technique is adopted to extract candidate matches with gray cross correlation coefficients less than some certain range of maximal correlation coefficient called multi-peak candidate matches. Multi-peak candidates are extracted corresponding to three closest feature points at first. The corresponding multi-peak candidate matches are used to construct the model polygon. Correspondence is determined based on the local geometric relations between the three feature points and the multi-peak candidates. The disparity test and the global consistency checkout are applied to eliminate the remaining ambiguous matches that are not removed by the local geometric relational test. Experimental results show that the proposed algorithm is feasible and accurate.

关键词： A stereo matching algorithm using multi-peak candidate matches and geometric constraints than test

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Special Topic: Optical communication and Artificial Intelligence

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The Journal of China Universities of Posts and Telecommunications 2022年第6期29卷 1-2页

作者： Zhao Yongli Huang Shanguo graduate school at bupt school of electronic engineering at bupt

Editorial Over r the past few decades,the demand for the capacity and reliability of optical networks has continued to grow,i.e.,the optical network is expected to be more resource-efficient and more *** the meantime,... 详细信息

关键词： optical network networks

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Multitask deep learning-based multiuser hybrid beamforming for mm-wave orthogonal frequency division multiple access systems

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Science China(information Sciences) 2020年第8期63卷 39-49页

作者： Jing JIANG Yue LI Long CHEN Jianbo DU Chunguo LI school of information and communication engineering Xi'an University of Posts and Telecommunications school of information Science and engineering Southeast University

Multiuser hybrid beamforming of a wideband millimeter-wave(mm-wave) system is a complex combinatorial optimization problem. It not only needs large training data, but also tends to overfit and incur long run-time when multiple serial deep learning network models are used to solve this problem ***, multitask deep learning(MTDL) model could jointly learn multiple related tasks and share their knowledge among the tasks, and this has been demonstrated to improve performance, compared to learning the tasks individually. Therefore, this work presents a first attempt to exploit MTDL for multiuser hybrid beamforming for mm-wave massive multiple-input multiple-output orthogonal frequency division multiple access systems. The MTDL model includes a multitask network architecture, which consists of two tasksuser scheduling and multiuser analog beamforming. First, we use the effective channel with a low dimension as input data for the two parallel tasks to reduce the computational complexity of deep neural *** a shallow shared layer of the MTDL model, we utilize hard parameter sharing in which the knowledge of multiuser analog beamforming task is shared with the user scheduling task to mitigate multiuser interference. Second, in the training process of the MTDL model, we use the exhaustive search algorithm to generate training data to ensure optimal performance. Finally, we choose the weight coefficient of each task by traversing all weight coefficient combinations in the training phase. Simulation results prove that our proposed MTDL-based multiuser hybrid beamforming scheme could achieve better performance than traditional algorithms and multiple serial single tasks deep learning scheme.

关键词： millimeter wave systems user scheduling deep neural network multitask learning hybrid beamforming

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