检索结果-内蒙古大学图书馆

Double quantum images encryption scheme based on chaotic system

Chinese Physics B 2024年第4期33卷 305-320页

作者：蒋社想李杨石锦张茹 School of Computer Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Anhui Key Laboratory of Mine Intelligent Equipment and Technology Anhui University of Science&TechnologyHuainan 232001China

This paper explores a double quantum images representation(DNEQR)model that allows for simultaneous storage of two digital images in a quantum superposition ***,a new type of two-dimensional hyperchaotic system based on sine and logistic maps is investigated,offering a wider parameter space and better chaotic behavior compared to the sine and logistic *** on the DNEQR model and the hyperchaotic system,a double quantum images encryption algorithm is ***,two classical plaintext images are transformed into quantum states using the DNEQR ***,the proposed hyperchaotic system is employed to iteratively generate pseudo-random *** chaotic sequences are utilized to perform pixel value and position operations on the quantum image,resulting in changes to both pixel values and ***,the ciphertext image can be obtained by qubit-level diffusion using two XOR operations between the position-permutated image and the pseudo-random *** corresponding quantum circuits are also *** results demonstrate that the proposed scheme ensures the security of the images during transmission,improves the encryption efficiency,and enhances anti-interference and anti-attack capabilities.

关键词： double quantum images encryption chaotic system pixel scrambling XOR operation

来源：评论

学校读者我要写书评

暂无评论

DTQFL: A Digital Twin-Assisted Quantum Federated Learning Algorithm for Intelligent Diagnosis in 5G Mobile Network

引用

IEEE Journal of Biomedical and Health Informatics 2023年第5期29卷 1-10页

作者： Qu, Zhiguo Li, Yang Liu, Bo Gupta, Deepak Tiwari, Prayag Engineering Research Center of Digital Foren-sics Ministry of Education Jiangsu Collaborative Innovation Center of Atmospheric Environment the Equipment Technology and the School of Computer Science Nanjing University of Information Science and Technology Nanjing China School of Computer Science Nanjing University of Information Science and Technology Nanjing China Hubei University of Science and Technology Xianning China Department of Computer Science & Engi-neering Maharaja Agrasen Institute of Technology Delhi India School of Information Technology Halmstad University Sweden

Smart healthcare aims to revolutionize med-ical services by integrating artificial intelligence (AI). The limitations of classical machine learning include privacy concerns that prevent direct data sharing among medical institutions, untimely updates, and long training times. To address these issues, this study proposes a digital twin-assisted quantum federated learning algorithm (DTQFL). By leveraging the 5G mobile network, digital twins (DT) of patients can be created instantly using data from various Internet of Medical Things (IoMT) devices and simultane-ously reduce communication time in federated learning (FL) at the same time. DTQFL generates DT for patients with specific diseases, allowing for synchronous training and updating of the variational quantum neural network (VQNN) without disrupting the VQNN in the real world. This study utilized DTQFL to train its own personalized VQNN for each hospital, considering privacy security and training speed. Simultaneously, the personalized VQNN of each hospital was obtained through further local iterations of the final global parameters. The results indicate that DTQFL can train a good VQNN without collecting local data while achieving accuracy comparable to that of data-centralized algorithms. In addition, after personalized train-ing, the VQNN can achieve higher accuracy than that with-out personalized training. IEEE

关键词： Wireless networks

来源：评论

学校读者我要写书评

暂无评论

Coherent emission and attosecond transient absorption of N_(2)^(+) in strong fields

引用

science China(Physics,Mechanics & Astronomy) 2024年第12期67卷 2-7页

作者： Qian Zhang Guangru Bai Bin Zhang Jinlei Liu Hongbin Lei Xiaowei Wang Jing Zhao Zengxiu Zhao Institute of Brain-Inspired Intelligence Nanjing UniversityNanjing 210093China School of Physics Nanjing University of Science and TechnologyNanjing 210094China

The ionic dynamics induced by strong-field ionization are essential to understand the fundamental physics and chemical *** solving the ionization-coupling equation theoretically,we can simultaneously address strong-field ionization and coupling dynamics in *** employing the driving pulse at the wavelength of 1580 nm,we show that the B^(2)Σ_(u)^(+) state of the strong field ionization created N_(2)^(+) could be populated by polarization effect and five-photon resonance but there is no population inversion between X^(2)Σ_(g)^(+) and B^(2)Σ_(u)^(+) states for the nitrogen molecular ions aligning along the laser *** addition,both the ultraviolet supercontinuum and the attosecond transient absorption spectroscopy(ATAS)are calculated to illustrate the characteristics of population and *** Stark shift observed from the transient absorption confirms the origin of ultraviolet *** results show the evolution of the absorption spectral lineshape,varying from Lorentzian to Fano to inverted Lorentzian and back forth and the optical gain is achieved at 394 e V due to the vibrational coherent *** study offers valuable insights into the strong-field quantum optics of molecular ions.

关键词： vibrational analysis ultraviolet spectra X-ray spectra

来源：评论

学校读者我要写书评

暂无评论

Identifying the enhancement mechanism of Al/MoO_(3) reactive multilayered films on the ignition ability of semiconductor bridge using a one-dimensional gas-solid two-phase flow model

引用

Defence technology（防务技术） 2024年第3期33卷 168-179页

作者： Jianbing Xu Yuxuan Zhou Yun Shen Yueting Wang Yinghua Ye Ruiqi Shen School of Chemistry and Chemical Engineering Nanjing University of Science and TechnologyNanjing 210094China Micro-Nano Energetic Devices Key Laboratory of MIIT Nanjing 210094China Institute of Space Propulsion Nanjing University of Science and TechnologyNanjing 210094China

Energetic Semiconductor bridge(ESCB)based on reactive multilayered films(RMFs)has a promising application in the miniature and intelligence of initiator and pyrotechnics *** the ignition enhancement mechanism of RMFs on semiconductor bridge(SCB)during the ignition process is crucial for the engineering and practical application of advanced initiator and pyrotechnics *** this study,a one-dimensional(1D)gas-solid two-phase flow ignition model was established to study the ignition process of ESCB to charge particles based on the reactivity of Al/MoO_(3) *** order to fully consider the coupled exothermic between the RMFs and the SCB plasma during the ignition process,the heat release of chemical reaction in RMFs was used as an internal heat source in this *** is found that the exothermal reaction in RMFs improved the ignition performance of *** the process of plasma rapid condensation with heat release,the product of RMFs enhanced the heat transfer process between the gas phase and the solid charge particle,which accelerated the expansion of hot plasma,and heated the solid charge particle as well as gas phase region with low *** addition,it made up for pressure loss in the gas *** the plasma dissipation process,the exothermal chemical reaction in RMFs acted as the main heating source to heat the charge particle,making the surface temperature of the charge particle,gas pressure,and gas temperature rise *** result may yield significant advantages in providing a universal ignition model for miniaturized ignition devices.

关键词： Ignition enhancement mechanism 1D gas-solid two-phase flow Al/MoO_(3)reactive multilayered films Semiconductor bridge Miniaturized ignition device

来源：评论

学校读者我要写书评

暂无评论

Surface engineering on MnO_(2)nanorods by La single atoms to accelerate oxygen reduction kinetics

引用

Rare Metals 2024年第9期43卷 4302-4311页

作者： Zhang-Long He Liu-Qi Wang Min Jiang Jia-Nan Xie Shan Liu Jin-Can Ren Rui Sun Wen-Bin Lv Wei-Bin Guo Yu-Ling Liu Bing Li Qi Liu Hao He School of Materials Science and Engineering Changsha University of Science and TechnologyChangsha 410000China School of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Physics City University of Hong KongHong Kong 999077China

Surface engineering,which modulates the electronic structure and adsorption/desorption properties of electrocatalysts,is one of the key strategies for improving the catalytic ***,we demonstrate a facile solid-phase reaction for surface engineering of MnO_(2)to boost the oxygen reduction *** reaction with surface hydroxy groups,La single atoms with loading amount up to 2.7 wt%are anchored onto a-MnO_(2)*** surface engineering,the oxygen reduction reaction(ORR)kinetics is significantly improved with the half-wave potential from 0.70 to 0.84 V,the number of transferred electrons from 2.5 to 3.9 and the limiting current density from 4.8 to 6.0 mA·cm^(-2).In addition,the catalyst delivers superior discharge performance in both alkaline and neutral metal–air *** functional theory(DFT)calculations reveal that atomic La modulates the surface electronic configuration of MnO_(2),reduces its d-band center and thus lowers the OOH*and O*reaction energy *** work provides a new route for rational design of highly active electrocatalyst and holds great potential for application in various catalytic reactions.

关键词： Surface engineering Single atoms Electron injection Oxygen reduction reaction Metal-air batteries

来源：评论

学校读者我要写书评

暂无评论

Improved particle swarm optimization based on multi-strategy fusion for UAV path planning

引用

International Journal of Intelligent Computing and Cybernetics 2024年第2期17卷 213-235页

作者： Zijing Ye Huan Li Wenhong Wei School of Computer Science and Technology Dongguan University of TechnologyDongguanChina

Purpose-Path planning is an important part of UAV mission *** main purpose of this paper is to overcome the shortcomings of the standard particle swarm optimization(PSO)such as easy to fall into the local optimum,so that the improved PSO applied to the UAV path planning can enable the UAV to plan a better quality ***/methodology/approach-Firstly,the adaptation function is formulated by comprehensively considering the performance constraints of the flight target as well as the UAV ***,the standard PSO is improved,and the improved particle swarm optimization with multi-strategy fusion(MFIPSO)is *** method introduces class sigmoid inertia weight,adaptively adjusts the learning factors and at the same time incorporates K-means clustering ideas and introduces the Cauchy perturbation ***,MFIPSO is applied to UAV path ***-Simulation experiments are conducted in simple and complex scenarios,respectively,and the quality of the path is measured by the fitness value and straight line rate,and the experimental results show that MFIPSO enables the UAV to plan a path with better ***/value-Aiming at the standard PSO is prone to problems such as premature convergence,MFIPSO is proposed,which introduces class sigmoid inertia weight and adaptively adjusts the learning factor,balancing the global search ability and local convergence ability of the *** idea of K-means clustering algorithm is also incorporated to reduce the complexity of the algorithm while maintaining the diversity of particle *** addition,the Cauchy perturbation is used to avoid the algorithm from falling into local ***,the adaptability function is formulated by comprehensively considering the performance constraints of the flight target as well as the UAV itself,which improves the accuracy of the evaluation model.

关键词： Unmanned aircraft Path planning Sigmoid-like inertia weight Adaptive learning factor K-means clustering Cauchy perturbation

来源：评论

学校读者我要写书评

暂无评论

Deepfake Video Detection Based on the Decomposition of Spatial-Temporal Attention Mechanism in ViViT 22

Deepfake Video Detection Based on the Decomposition of Spati...

引用

22nd IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2024

作者： Sun, Guoqing Lian, Zhichao Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing China Nanjing University of Science and Technology School of Cyber Science and Engineering Nanjing China

ISBN: (纸本)9798331509712

With the rapid development of Deepfake synthesis technology in recent years, our cybersecurity and individual privacy face challenges. In pursuit of robust Deepfake detection, researchers have tried to use temporal cues in videos, employing models such as RNNs and 3D convolutional networks. Despite these efforts, there remains ample opportunity for improvement within these models. In this paper, we introduced an approach utilizing the Video Vision Transformer, which is based on the decomposition of Spatial-Temporal attention mechanisms, for the detection of video face forgery. This method is designed to capture spatial artifacts and temporal inconsistencies. Besides, difference module is introduced to screen features and reduce the interference of natural factors on the model. To enable robust Deepfake detection. We have conducted extensive experiments across some datasets, including FaceForensics++, DFDC and WildDeepfake datasets. Which demonstrates the validity of the model. © 2024 IEEE.

关键词： Deepfake detection Difference module Spatial-Temporal Attention Mechanism

来源：评论

学校读者我要写书评

暂无评论

Knowledge Learning With Crowdsourcing:A Brief Review and Systematic Perspective

引用

IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 749-762页

作者： Jing Zhang IEEE School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China

Big data have the characteristics of enormous volume,high velocity,diversity,value-sparsity,and uncertainty,which lead the knowledge learning from them full of *** the emergence of crowdsourcing,versatile information can be obtained on-demand so that the wisdom of crowds is easily involved to facilitate the knowledge learning *** the past thirteen years,researchers in the AI community made great efforts to remove the obstacles in the field of learning from *** concentrated survey paper comprehensively reviews the technical progress in crowdsourcing learning from a systematic perspective that includes three dimensions of data,models,and learning *** addition to reviewing existing important work,the paper places a particular emphasis on providing some promising blueprints on each dimension as well as discussing the lessons learned from our past research work,which will light up the way for new researchers and encourage them to pursue new contributions.

关键词： Crowdsourcing data fusion learning from crowds learning paradigms learning with uncertainty

来源：评论

学校读者我要写书评

暂无评论

Leveraging Concise Concepts With Probabilistic Modeling for Interpretable Visual Recognition

引用

IEEE Transactions on Multimedia 2025年 27卷 3117-3131页

作者： Zhang, Yixuan Liu, Chuanbin Liu, Yizhi Gao, Yifan Lu, Zhiying Xie, Hongtao Zhang, Yongdong University of Science and Technology of China School of Information Science and Technology Hefei230027 China Hunan University of Science and Technology Department of Computer Science and Engineering Hunan411199 China

Interpretable visual recognition is essential for decision-making in high-stakes situations. Recent advancements have automated the construction of interpretable models by leveraging Visual Language Models (VLMs) and Large Language Models (LLMs) with Concept Bottleneck Models (CBMs), which process a bottleneck layer associated with human-understandable concepts. However, existing methods suffer from two main problems: a) the collected concepts from LLMs could be redundant with task-irrelevant descriptions, resulting in an inferior concept space with potential mismatch. b) VLMs directly map the global deterministic image embeddings with fine-grained concepts results in an ambiguous process with imprecise mapping results. To address the above two issues, we propose a novel solution for CBMs with Concise Concept and Probabilistic Modeling (CCPM) that can achieve superior classification performance via high-quality concepts and precise mapping strategy. First, we leverage in-context examples as category-related clues to guide LLM concept generation process. To mitigate redundancy in the concept space, we propose a Relation-Aware Selection (RAS) module to obtain a concise concept set that is discriminative and relevant based on image-concept and inter-concept relationships. Second, for precise mapping, we employ a Probabilistic Distribution Adapter (PDA) that estimates the inherent ambiguity of the image embeddings of pre-trained VLMs to capture the complex relationships with concepts. Extensive experiments indicate that our model achieves state-of-the-art results with a 6.18% improvement in classification accuracy on eight mainstream recognition benchmarks as well as reliable explainability through interpretable analysis. © 1999-2012 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Design,preparation,and characterization of a novel ZnO/CuO/Al energetic diode with dual functionality:Logic and destruction

引用

Defence technology（防务技术） 2024年第4期34卷 57-68页

作者： Jialu Yang Jiaheng Hu Yinghua Ye Jianbing Xu Yan Hu Ruiqi Shen School of Chemistry and Chemical Engineering Nanjing University of Science and TechnologyNanjing 210094China Micro-Nano Energetic Devices Key Laboratory of MIIT Nanjing 210094China Institute of Space Propulsion Nanjing University of Science and TechnologyNanjing 210094China

Self-destructing chips have promising applications for securing *** paper proposes a new concept of energetic diodes for the first time,which can be used for self-destructive chips.A simple two-step electrochemical deposition method is used to prepare ZnO/CuO/Al energetic diode,in which N-type ZnO and P-type CuO are constricted to a PN *** paper comprehensively discusses the material properties,morphology,semiconductor characteristics,and exploding performances of the energetic *** results show that the energetic diode has typical rectification with a turn-on voltage of about 1.78 V and a reverse leakage current of about 3×10^(-4)*** a constant voltage of 70 V loads to the energetic diode in the forward direction for about 0.14 s or 55 V loads in the reverse direction for about 0.17 s,the loaded power can excite the energetic diode exploding and the current rises to about100 *** to the unique performance of the energetic diode,it has a double function of rectification and *** energetic diode can be used as a logic element in the normal chip to complete the regular operation,and it can release energy to destroy the chip accurately.

关键词： Energetic diode ZnO—CuO—Al thermite ZnO/CuO PN junction Electrical explosion performance Self-destructing chips

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：