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Low-bias,high-photoresponsivity SnSe2 nanofilm with an Au split-ring array-based THz detector toward 6G communication

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science China(information sciences) 2023年第6期66卷 311-312页

作者： Qi SONG Zhiwen ZHOU Yifei XU Min ZHANG Junbo YANG Huawei LIANG Tianwu WANG Peiguang YAN College of Physics and Optoelectronic Engineering Shenzhen University Shandong Key Laboratory of Optical Communication Science and Technology School of Physics Science and Information TechnologyLiaocheng University College of Liberal Arts and Sciences National University of Defense Technology GBA Research Institute Aerospace Information Research Institute of Chinese Academy of Science

6G technology with the four characteristics of an intelligent endogenous,secure endogenous,multi-domain convergence,and integrated computing network,will help society toward an intelligent era [1]. The low power consumption and high photoresponsivity of 6G core devices,and particularly the improvement of detector performance,

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uitPETransMDS: A PE Malware Detection System Using a Hybrid Approach of Transfer Learning and Image Visualization 9

uitPETransMDS: A PE Malware Detection System Using a Hybrid ...

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9th International Conference on information Management and technology, ICIMTech 2024

作者： Huy, Trinh Gia Nhan, Luong Nguyen Thanh Cam, Nguyen Tan Faculty of Information Systems University of Information Technology Vietnam National University Faculty of Information Systems Ho Chi Minh City Viet Nam University of Information Technology Vietnam National University Faculty of Information Science and Engineering Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350390025

The rapid expansion of devices and computers, alongside technological advancements, has led to a corresponding increase in malicious attacks. Malware attacks represent a significant global threat in cyberspace. Despite the concerted efforts of security researchers and security companies to mitigate these attacks, they remain a persistent challenge. This has prompted a substantial focus on research endeavors to combat malicious software. Recent advancements in artificial intelligence have spurred various research efforts in malware detection. This paper focuses on detecting and classifying malware using transfer learning models, such as variants of VGG, ResNet, and MobileNet, on a grayscale image-based PE dataset with dimensions of 64 x 64 x 3 pixels. The proposed architecture comprises three modules. The first module is responsible for converting the PE binary file to a grayscale image. The second module aims to identify whether the input file is malicious or benign. Among the models tested, MobileNetV1 achieved the highest performance with an accuracy of 98.70% and an Fl-score of 96.46%. The third module, utilizing the ResNet101 model, is responsible for malware classification (five different types in the dataset). It achieved an accuracy of 98.78% and an Fl-score of 97.52% on the testing set. © 2024 IEEE.

关键词： Cyber attacks

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Fault Estimation for a Class of Markov Jump Piecewise-Affine systems: Current Feedback Based Iterative Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 418-429页

作者： Yanzheng Zhu Nuo Xu Fen Wu Xinkai Chen Donghua Zhou IEEE College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China College of Mechanical Engineering and Automation Huaqiao UniversityXiamen 361021China Department of Mechanical and Aerospace Engineering North Carolina State UniversityRaleigh NC 27695 USA Department of Electronic and Information Systems Shibaura Institute of TechnologySaitama 337-8570Japan

In this paper, the issues of stochastic stability analysis and fault estimation are investigated for a class of continuoustime Markov jump piecewise-affine(PWA) systems against actuator and sensor faults. Firstly, a novel mode-dependent PWA iterative learning observer with current feedback is designed to estimate the system states and faults, simultaneously, which contains both the previous iteration information and the current feedback mechanism. The auxiliary feedback channel optimizes the response speed of the observer, therefore the estimation error would converge to zero rapidly. Then, sufficient conditions for stochastic stability with guaranteed performance are demonstrated for the estimation error system, and the equivalence relations between the system information and the estimated information can be established via iterative accumulating ***, two illustrative examples containing a class of tunnel diode circuit systems are presented to fully demonstrate the effectiveness and superiority of the proposed iterative learning observer with current feedback.

关键词： Current feedback fault estimation iterative learning observer Markov jump piecewise-affine system

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A general strategy for MOFs coupled to optical fiber for highly sensitive humidity sensing

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Rare Metals 2023年第6期42卷 1821-1828页

作者： Xuan-Ming Zhang Mei-Ling Li Wei-Ting Yang Qi-Ying Wang Shuai-Cheng Liu Chao-Wei Zhang Ya-Tian Cao Guan-Jun Wang School of Chemical Engineering and Technology Laboratory of Advanced Materials of Tropical Island Resources of Ministry of EducationHainan UniversityHaikou570228China School of Information and Communication Engineering Hainan UniversityHaikou570228China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan430074China

To achieve real-time and high-sensitive humidity sensing,a universal method was developed to allow arbitrary nanocrystals to be attached to the end of an optical fiber,further producing an effective interference *** validate this approach,four classical metal-organic framework(MOF) materials(ZIF-8,UiO-66,HKUST-1,MIL-101) are connected to the end of a single-mode optical fiber by this connection method to form humidity sensors.

关键词： spectrum attached arbitrary

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Mid-wavelength InAs/GaSb type-Ⅱ superlattice barrier detector with nBn design and M barrier

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Optoelectronics Letters 2023年第10期19卷 577-582页

作者： LIU Zhaojun ZHU Lianqing LU Lidan DONG Mingli ZHANG Dongliang ZHENG Xiantong School of Opto-Electronic Engineering Changchun University of Science&TechnologyChangchun130022China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science&Technology UniversityBeijing100192China Key Laboratory of Optical Fiber Sensing and System Beijing Information Science&Technology UniversityBeijing100016China

This study reports the performance of an InAs/GaSb type-Ⅱ superlattices(T2SLs) detector with nBn structure for mid-wavelength infrared(MWIR) detection. An electronic band structure of M barrier is calculated using 8-band k·p method, and the nBn structure is designed with the M barrier. The detector is prepared by wet etching, which is simple in manufacturing process. X-ray diffraction(XRD) and atomic force microscope(AFM) characteristics indicate that the detector material has good crystal quality and surface morphology. The saturation bias of the spectral response measurements at 77 K is 300 m V, and the device is promising to work at a temperature of 140 K. Energy gap of T2SLs versus temperature is fitted by the Varshni curve, and zero temperature bandgap Eg(0), empirical coefficients α and β are extracted. A dark current density of 3.2×10-5A/cm2and differential resistance area(RA) product of 1.0×104Ω·cm2are measured at 77 K. The dominant mechanism of dark current at different temperature ranges is analyzed. The device with a 50% cutoff wavelength of 4.68 μm exhibits a responsivity of 0.6 A/W, a topside illuminated quantum efficiency of 20% without antireflection coating(ARC), and a detectivity of 9.17×1011cm·Hz1/2/W at 77 K and 0.3 V.

关键词： InAs/GaSb barrier structure

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Promoting polysulfide conversions via cobalt single-atom catalyst for fast and durable lithium-sulfur batteries

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Nano Research 2023年第7期16卷 9335-9343页

作者： Ziwei Wang Yuwen Cheng Shanying Wang Jie Xu Bo Peng Dan Luo Lianbo Ma Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials&School of Materials Science and Engineering Anhui University of TechnologyMaanshan 243002China School of Information and Optoelectronic Science and Engineering South China Normal UniversityGuangzhou 510006China Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology(HKUST)Clear Water BayHong Kong 999077China

Although promising strategies have been developed to resolve the critical drawbacks of lithium-sulfur(Li-S)batteries,the intractable issues including undesirable shuttling of polysulfides and sluggish redox reaction kinetics have still been unresolved ***,a cobalt single-atom(CoSA)catalyst comprising of atomic Co distributed homogeneously within nitrogen(N)-doped porous carbon(Co-NPC)nanosphere is constructed and utilized as a separator coating in Li-S *** Co-NPC exposes abundant active sites participating in sulfur redox reactions,and remarkable catalytic activity boosting the rapid polysulfide *** a result,Li-S batteries with Co-NPC coating layer realize significantly enhanced specific capacity(1295 mAh·g^(-1)at 0.2 C),rate capability(753 mAh·g^(-1)at 3.0 C),and long-life cyclic stability(601 mAh·g^(-1)after 500 cycles at 1.0 C).Increasing the areal sulfur loading to 6.2 mg·cm^(-2),an extremely high areal capacity of 7.92 mAh·cm^(-2)is *** in situ X-ray diffraction,density functional theory calculations,and secondary ion mass spectrometry confirm the high catalytic capability of CoSA towards reversible polysulfide *** study supplies new insights for adopting single-atom catalyst to upgrade the electrochemical performance of Li-S batteries.

关键词： lithium-sulfur batteries polysulfide shuttling sluggish redox kinetics cobalt single-atom catalyst catalytic capability

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Diminishing the Perception Bias in the Working Environment Using a Network Generation-Based Framework

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Tsinghua science and technology 2024年第3期29卷 671-683页

作者： Jun Qian Tongda Zhang Xiao Sun Yueting Chai Department of Automation Tsinghua UniversityBeijing 100084China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055Chinaand with Systems Optimization LaboratoryStanford UniversityPalo AltoCA 94305USA

Income inequality is widespread in human society and has important implications for human ***’s perception of the environment bridges income inequality and individual behavioral *** research suggests that social income inequality is usually biased,either overestimated or ***,such phenomena have not been fully explored with quantitive prove,especially in the working environment based on performance data of actual *** fact,the correct perception of people is the basis of a fair environment for their production ***,the perception bias may weaken the adaptability and competitiveness of a company in the *** paper first confirms the prevalence of individual perception bias of income inequality within the working environment based on actual production *** results show that people tend to underestimate income inequity around them,and this underestimation grows with the real unfairness of the working ***,this paper proposes a network generation-based framework with a three-layer structure to correct perception bias using a cooperative network reengineering *** the framework,a homophily-based generative network model is proposed as the key *** simulation results show that our proposed framework effectively reduces individuals’perception bias of income inequality.

关键词： income inequality perception bias Gini coefficient factory production cooperative networkreengineering homophily-based generative network model

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Adaptive Decentralized Federated Learning in LEO Satellite Networks 24

Adaptive Decentralized Federated Learning in LEO Satellite N...

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24th IEEE International Conference on Communication technology, ICCT 2024

作者： Li, Dong Yan, Zhigang Hao, Yuyu Niyato, Dusit Quek, Tony Q. S. Macau University of Science and Technology School of Computer Science and Engineering Macau China Nanyang Technological University School of Computer Science and Engineering Singapore Singapore University of Technology and Design Information Systems Technology and Design Pillar Singapore

ISBN: (纸本)9798350363760

In Federated Learning (FL) for the low Earth orbit (LEO) satellite networks with parameters aggregated by a ground station, the communication overhead is a substantial concern. To circumvent this limitation and alleviate the latency within the FL for the satellite-ground communication, Decentralized Federated Learning (DFL) has appeared as an effective solution. However, considering the heterogeneity of satellites, the problem on how to efficiently leverage the limited resources available to enhance the model performance of DFL has drawn little attention, which motivates this work. Specifically, the proposed solution involves optimizing the number of local training rounds across diverse satellites with varying resource budgets to enhance the DFL performance by utilizing the resource more efficiently. Simulation results show that, the proposed scheme achieves a much better performance than the conventional schemes with fixed rounds of local training. © 2024 IEEE.

关键词： Federated learning

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Integrated Cross-Scale Manipulation and Modulable Encapsulation of Cell-Laden Hydrogel for Constructing Tissue-Mimicking Microstructures

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Research 2025年第1期2024卷 704-717页

作者： Yanfeng Zhao Xinyi Dong Yang Li Juan Cui Qing Shi Hen-Wei Huang Qiang Huang Huaping Wang Intelligent Robotics Institute School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China Peking University First Hospital Xicheng DistrictBeijing 100034China Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of EducationNorth University of ChinaTaiyuan 030051China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China Laboratory for Translational Engineering Harvard Medical SchoolCambridgeMA 02139USA Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Ministry of EducationBeijing 100081China

Engineered microstructures that mimic in vivo tissues have demonstrated great potential for applications in regenerative medicine,drug screening,and cell behavior ***,current methods for engineering microstructures that mimic the multi-extracellular matrix and multicellular features of natural tissues to realize tissue-mimicking microstructures in vitro remain ***,we propose a versatile method for constructing tissue-mimicking heterogeneous microstructures by orderly integration of macroscopic hydrogel exchange,microscopic cell manipulation,and encapsulation ***,various cell-laden hydrogel droplets are manipulated at the millimeter scale using electrowetting on dielectric to achieve efficient hydrogel ***,the cells are manipulated at the micrometer scale using dielectrophoresis to adjust their density and arrangement within the hydrogel ***,the photopolymerization of these hydrogel droplets is triggered in designated regions by dynamically modulating the shape and position of the excitation ultraviolet ***,heterogeneous microstructures with different extracellular matrix geometries and components were constructed,including specific cell densities and *** resulting heterogeneous microstructure supported long-term culture of hepatocytes and fibroblasts with high cell viability(over 90%).Moreover,the density and distribution of the 2 cell types had significant effects on the cell proliferation and urea *** propose that our method can lead to the construction of additional biomimetic heterogeneous microstructures with unprecedented potential for use in future tissue engineering applications.

关键词： cell behavior explorationhowevercurrent tissue mimicking microstructures cell laden hydrogel electrowetting dielectric regenerative medicinedrug screeningand heterogeneous microstructures engineered microstructures orderly integration

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BEDA: BERT-wwm-ext with Data Augmentation for Similarity Measurement and Difficulty Evaluation of Test Questions 5

BEDA: BERT-wwm-ext with Data Augmentation for Similarity Mea...

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5th International Academic Exchange Conference on science and technology Innovation, IAECST 2023

作者： Wang, Shen Fei, Cai Zhang, Mengxi National University of Defense Technology National Key Laboratory of Information Systems Engineering Changsha China

ISBN: (纸本)9798350357738

Personalized user-driven learning, relying on customized question recommendations, is a crucial aspect of online education platforms. Measuring question similarity and evaluating question difficulty are key challenges in achieving this functionality. The current methods for addressing these two problems suffer from a focus on local question features and heavy reliance on manual annotation. Therefore this paper proposes a novel framework, BERT-wwm-ext with Data Augmentation (BEDA), to leverage semantic information rather than local features, automating question similarity measurement and difficulty evaluation with reduced manual annotation. The framework is applied to practical tasks, such as measuring primary school application question similarity and evaluating difficulty. Experimental results demonstrate the superiority of our approach over traditional methods, providing vital support for personalized question recommendations in online education platforms. © 2023 IEEE.

关键词： Semantics

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