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3D printing of micro-nano devices and their applications

Microsystems & Nanoengineering 2025年第1期11卷 65-87页

作者： Naibo Zhang Zilai Wang Zixin Zhao Dongxing Zhang Junyu Feng Linghao Yu Zhanhong Lin Qiuquan Guo Jianming Huang Junfa Mao Jun Yang School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China The 54th Research Institute of Electronics Technology Group Corporation(CETC 54) Beijing 100043China School of Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen 518000China School of Electronics and Information Technology Sun Yat-sen UniversityGuangzhou 510275China Shenzhen University Shenzhen 518060China

In recent years,the utilization of 3D printing technology in micro and nano device manufacturing has garneredsignificant *** in 3D printing have enabled achieving sub-micron level *** micro-machining techniques,3D printing offers versatility in material selection,such as polymers.3Dprinting technology has been gradually applied to the general field of microelectronic devices such as sensors,actuators and flexible electronics due to its adaptability and efficacy in microgeometric design and ***,3D printing technology has also been instrumental in the fabrication of microfluidic devices,both through direct and indirect *** paper provides an overview of the evolving landscape of 3D printingtechnology,delineating the essential materials and processes involved in fabricating microelectronic and microfluidicdevices in recent ***,it synthesizes the diverse applications of these technologies across differentdomains.

关键词： micro nano devices sensors flexible electronics microelectronic devices micro nano device manufacturing d printing actuators D printing

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Design of SIW Filtering Power Dividers Based on Fractal Metamaterial Slotted Resonators

Design of SIW Filtering Power Dividers Based on Fractal Meta...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： He, Zhilin Cao, Xin Cai, Qiangming Zhou, Longjian Li, Haoran Zhu, Yuyu Southwest University of Science and Technology School of Information Engineering Mianyang621010 China South China University of Technology School of Electronic and Information Engineering Guangzhou510640 China

ISBN: (纸本)9798350375909

With the development of new generation wireless communication technology, microwave devices are developing towards miniaturization and integration. Power dividers are important components of the transmitter, their size and performance can influence the quality of communication systems greatly. Therefore, in order to decrease the size of the power dividers and to reduce component size, this paper proposes several substrate integrated waveguide (SIW) power dividers based on fractal metamaterial slotted resonators. First, planar geometrical fractals such as the Minkowski fractals, Hilbert fractals and von Koch fractals have been applied in the SIW structure as slots. Due to the slow wave effects, the size of the proposed SIW can be reduced compared with conventional SIWs. Then by loading slotted resonators, the filtering characteristics can also be achieved. To verify the performance of the proposed structure, three SIW power division filters have been designed based on these proposed fractal metamaterial slotted resonators. The input and output of the power division filters are connected with tapered microstrip lines with the port characteristic impedance of 50 ohms. As the full-wave simulated results show that the proposed power division filters can achieve a filter band from 9 GHz to 11.9 GHz with the in-band S11 better than -10 dB. Based on the electric field distribution, it can also be observed that the size has been reduced. Further improvements have been achieved. Our proposed structures are easy to manufacture and can be applied in the modern wireless communication circuits and systems. © 2024 IEEE.

关键词： Substrate integrated waveguides

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Fast Hybrid Far/Near-Field Beam Training For Extremely Large-Scale Millimeter Wave/Terahertz Systems

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IEEE Transactions on Communications 2024年第6期73卷 3956-3970页

作者： Wang, Hongwei Fang, Jun Duan, Huiping Li, Hongbin University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu611731 China University of Electronic Science and Technology of China School of Information and Communications Engineering Chengdu611731 China Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ07030 United States

In this paper, we consider the problem of downlink beam training for extremely large-scale millimeter wave (mmWave)/Terahertz (THz) systems, where the far-field assumption which treats wavefronts as planar waves may not hold valid. For such hybrid far/near-field channels, beam training needs to identify the best beam alignment on a two-dimensional angle-range domain. An exhaustive search scheme sequentially scanning the entire angle-range space incurs a high training overhead. To address this issue, in this paper, we propose an efficient hybrid far/near-field beam training method. By utilizing the approximate orthogonality of near-field steering vectors of the same effective distance, we devise a multi-directional beam training sequence which can more efficiently scan the entire angle-range space. Based on the devised beam training sequence, we develop a simple estimation method at the receiver that can simultaneously identify the angle and the range associated with the dominant path. Simulation results show that the proposed method achieves better performance than the exhaustive search scheme, while with a much lower overhead cost. The proposed method also presents a clear advantage over other existing state-of-the-art hybrid far/near-field beam training methods in terms of performance and generality. © 1972-2012 IEEE.

关键词： Wavefronts

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Imaging System and Design Based on Quantum Dot Infrared Focal Plane Detector

Imaging System and Design Based on Quantum Dot Infrared Foca...

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7th International Conference on electronics technology, ICET 2024

作者： Jiang, Yang Wang, Mohan Xue, Xu Fang, Xiaomeng Liu, Xiang Tao, Zhi Nanjing University of Information Science & Technology School of Electronic & Information Engineering NanJing China

ISBN: (纸本)9798350363951

This paper presents the hardware and software design of an imaging system based on a planar colloidal quantum dot short-wave infrared focal plane detector. The system accomplishes the collection, image processing, and imaging display of the output signal from a 640 × 512 planar colloidal quantum dot short-wave infrared focal plane detector. Given the non-uniform response of the focal plane array device and issues such as striped fixed pattern background and blind elements, the study employs FPGA as the hardware platform to investigate nonuniformity correction and blind element detection algorithms for infrared images. Real-time non-uniformity correction is achieved through this algorithm, effectively improving image quality and reducing non-uniformity from 9. 4 8 % to 5.36 %. Experimental results from real-time infrared image processing indicate that the imaging processing system successfully performs image collection, processing, and imaging display. It demonstrates higher sensitivity and resolution for 0.9-1.7 μ m infrared light, lower cost, and the ability to capture clearer image details, handling high-contrast scenes without distortion. © 2024 IEEE.

关键词： Image enhancement

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Reliable image classification based on evidence and GCN

Reliable image classification based on evidence and GCN

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2024 International Conference on electronics, Electrical and information engineering, ICEEIE 2024

作者： He, Zhonghai Xu, Xiang Lian, Zhuming Luo, Yu School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Intelligent Terminal Key Laboratory of Sichuan Province Yibin China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

With good classification performance, digital medical image methods based on deep learning have received more and more attention. However, the problem of these methods is that the black-box characteristic of deep learning makes it difficult to explain the model and prediction results. In order to improve the interpretability and reliability of medical image classification tasks, this paper designs a network structure that introduces eliminating uncertainty in GCN feedback by using evidence theory and subjective logic. The diagnosis experiments of COVID-19 images show that the model can effectively improve the recognition accuracy of COVID-19 patients, and has good reliability. © 2024 SPIE.

关键词： COVID-19

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a Fast Searchable Encryption Scheme Based on Dual Servers 21

a Fast Searchable Encryption Scheme Based on Dual Servers

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21st International Computer Conference on Wavelet Active Media technology and information Processing, ICCWAMTIP 2024

作者： Shuquan, Li Xi, Zhu Ruojie, Li School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu610054 China College of Economics Sichuan Agricultural University Chengdu611130 China

ISBN: (纸本)9798331519254

With the rapid development of the Internet and cloud computing, storing massive amounts of data while ensuring the security of encryption and decryption as well as search performance has become a prominent issue in the industry. Traditional searchable encryption schemes generally suffer from offline internal keyword guessing attacks and exhibit low search efficiency. This paper proposes a fast searchable encryption scheme that can resist internal keyword guessing attacks. Firstly, through the cooperative work of dual servers, retrieval is performed using trapdoor information forwarded by the receiver, thus resisting offline keyword guessing attacks. Secondly, an efficient inverted index structure is introduced to achieve sub-linear search, where the search efficiency is only proportional to the number of ciphertexts containing the relevant query keywords, thereby enhancing efficiency. © 2024 IEEE.

关键词： Ciphertext

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Re-usable Cd_(0.9)Zn_(0.1)S-ZnO@C/PVDF piezo-photocatalytic film with exceptional hydrogen evolution capability triggered by the synergetic advantages of piezoelectricity and S-Scheme heterojunction

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Journal of Energy Chemistry 2024年第9期96卷 164-176页

作者： Ping Su Dong Zhang Minghui Zhu Tengteng Liang Nan Yang Huaihao Zhao Dafeng Zhang Junchang Liu Peiqing Cai Xipeng Pu School of Materials Science and Engineering Shandong Provincial Key Laboratory of Chemical Energy Science and Novel Cell TechnologyLiaocheng UniversityLiaocheng 252000ShandongChina School of Physics Science and Information Technology Shandong Key Laboratory of Optical Communication Sciencend TechnologyLiaocheng UniversityLiaocheng 252000ShandongChina College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018ZhejiangChina

Piezoelectric materials have advantages of fine-tuning photocatalytic performance through harvesting mechanical energy and open a new avenue in facilitating green catalytic ***,polyvinylidene fluoride(PVDF),a flexible piezoelectric material,was introduced to synthesize a novel Cd_(0.9)Zn_(0.1)S-ZnO@C/PVDF(CZS-ZO@C/PVDF)piezo-photocatalytic film by spin coating and immersion phase conversion *** from the piezoelectricity of PVDF and the internal electric field(IEF)of CZS-ZO@C Step-scheme(S-Scheme)heterojunction,CZS-ZO@C/PVDF was able to induce a hydrogen generation rate of 34.9 mmol g^(−1)h^(−1)activated by ultrasound and visible light(U-L),which is∼17.5 times of Cd_(0.9)Zn_(0.1)S/PVDF(CZS/PVDF)and∼7.4 times of the photocatalysis rate activated by visible light only(L).Piezoelectric measurements and COMSOL simulation illustrated the excellent piezoelectricity of CZS-ZO@C/PVDF film,which exhibits a piezoelectric coefficient(d33)of 9.9 pm V−1 and a piezoelectric potential of 874 mV(under 0.5 MPa).The reaction mechanism for the exceptional piezo-photocatalytic performance was finally disclosed through density functional theory(DFT)calculation and electrochemical *** study enriches the application scope of piezoelectric materials in sustainable energy catalysis and provides a new direction to develop efficient piezoelectric photocatalysts.

关键词： Piezo-photocatalysis Heterojunction Cd_(0.9)Zn_(0.1)S Zno@c PVDF

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Deep reinforcement learning-based resource allocation for D2D communications in heterogeneous cellular networks

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Digital Communications and Networks 2022年第5期8卷 834-842页

作者： Yuan Zhi Jie Tian Xiaofang Deng Jingping Qiao Dianjie Lu School of Information Science and Engineering Shandong Normal UniversityJinan250358China School of Information and Communication Guilin University of Electronic TechnologyGuilin541004China

Device-to-Device(D2D)communication-enabled Heterogeneous Cellular Networks(HCNs)have been a promising technology for satisfying the growing demands of smart mobile devices in fifth-generation mobile *** introduction of Millimeter Wave(mm-wave)communications into D2D-enabled HCNs allows higher system capacity and user data rates to be ***,interference among cellular and D2D links remains severe due to spectrum *** this paper,to guarantee user Quality of Service(QoS)requirements and effectively manage the interference among users,we focus on investigating the joint optimization problem of mode selection and channel allocation in D2D-enabled HCNs with mm-wave and cellular *** optimization problem is formulated as the maximization of the system sum-rate under QoS constraints of both cellular and D2D users in *** solve it,a distributed multiagent deep Q-network algorithm is proposed,where the reward function is redefined according to the optimization *** addition,to reduce signaling overhead,a partial information sharing strategy that does not observe global information is proposed for D2D agents to select the optimal mode and channel through *** results illustrate that the proposed joint optimization algorithm possesses good convergence and achieves better system performance compared with other existing schemes.

关键词： Deep reinforcement learning Heterogeneous cellular networks Device-to-device communication Millimeter wave communication Resource allocation

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Strip Surface Defect Diagnosis Method Based on Extreme Learning Machine with Different Excitation Functions

IAENG International Journal of Computer Science

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IAENG International Journal of Computer science 2022年第1期49卷 101-109页

作者： Hou, Jia-Ning Wagn, Jie-Sheng Li, Tian-Cheng Postgraduate student of School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China Professor of School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China Undergraduate student of School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China

Strip surface defects seriously impress the appearance of products, also lead to a decrease in wear resistance, corrosion resistance and the increase of fatigue strength of strip products, thus greatly reducing the service life of strip products. Therefore, a strip surface defect diagnosis algorithm by using on extreme learning machine (ELM) with variable excitation functions was proposed. Based on the neural network principle and the learning method of ELM, the seven excitation functions (Sigmoid, Sin, Hardlim, ReLu, Tanh, Morlet and Arctan) were used to establish the strip surface defect diagnosis model respectively. The neuron numbers of the hidden layer of ELM were analyzed experimentally. The simulation experiment results for the strip surface defect data set in UCI show that the ELM neural network can effectively diagnose the strip surface defect accurately. © 2022. All Rights Reserved.

关键词： Surface defects

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MSIsensor-RNA:Microsatellite Instability Detection for Bulk and Single-cell Gene Expression Data

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Genomics, Proteomics & Bioinformatics 2024年第3期22卷 85-90页

作者： Peng Jia Xuanhao Yang Xiaofei Yang Tingjie Wang Yu Xu Kai Ye Department of Gynecology and Obstetrics Center for Mathematical MedicalThe First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061China MOE Key Lab for Intelligent Networks&Networks Security Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China School of Automation Science and Engineering Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China School of Computer Science and Technology Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China Genome Institute The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061China School of Life Science and Technology Xi’an Jiaotong UniversityXi’an 710049China

Microsatellite instability(MSI)is an indispensable biomarker in cancer ***,MSI scoring methods by high-throughput omics methods have gained popularity and demonstrated better performance than the gold standard method for MSI ***,the MSI detection method on expression data,especially single-cell expression data,is still lacking,limiting the scope of clinical application and prohibiting the investigation of MSI at a single-cell ***,we developed MSIsensor-RNA,an accurate,robust,adaptable,and standalone software to detect MSI status based on expression values of MSI-associated *** demonstrated the favorable performance and promise of MSIsensor-RNA in both bulk and single-cell gene expression data in multiplatform technologies including RNA sequencing(RNA-seq),microarray,and single-cell ***-RNA is a versatile,efficient,and robust method for MSI status detection from both bulk and single-cell gene expression data in clinical studies and ***-RNA is available at https://***/xjtu-omics/msisensor-rna.

关键词： Microsatellite instability Gene expression Single-cell RNA-seq RNA-seq Microarray

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