检索结果-内蒙古大学图书馆

A Blockchain-Based Efficient Cross-Domain Authentication Scheme for Internet of Vehicles

Computers, Materials & Continua 2024年第7期80卷 567-585页

作者： Feng Zhao Hongtao Ding Chunhai Li Zhaoyu Su Guoling Liang Changsong Yang Guangxi Engineering Research Center of Industrial Internet Security and Blockchain Guilin University of Electronic TechnologyGuilin541004China School of Information and Communication Guilin University of Electronic TechnologyGuilin541004China School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin541004China

The Internet of Vehicles(IoV)is extensively deployed in outdoor and open environments to effectively address traffic efficiency and safety issues by connecting vehicles to the ***,due to the open and variable nature of its network topology,vehicles frequently engage in cross-domain *** such processes,directly uploading sensitive information to roadside units for interaction may expose it to malicious tampering or interception by attackers,thus compromising the security of the cross-domain authentication ***,IoV imposes high real-time requirements,and existing cross-domain authentication schemes for IoV often encounter efficiency *** mitigate these challenges,we propose CAIoV,a blockchain-based efficient cross-domain authentication scheme for *** scheme comprehensively integrates technologies such as zero-knowledge proofs,smart contracts,and Merkle hash tree *** divides the cross-domain process into anonymous cross-domain authentication and safe cross-domain authentication phases to ensure efficiency while maintaining a balance between efficiency and ***,we evaluate the performance of *** results demonstrate that our proposed scheme reduces computational overhead by approximately 20%,communication overhead by around 10%,and storage overhead by nearly 30%.

关键词： Blockchain cross-domain authentication internet of vehicle zero-knowledge proof

来源：评论

学校读者我要写书评

暂无评论

Advances in neuromorphic computing:Expanding horizons for AI development through novel artificial neurons and in-sensor computing

引用

Chinese Physics B 2024年第3期33卷 1-23页

作者：杨玉波赵吉哲刘胤洁华夏扬王天睿郑纪元郝智彪熊兵孙长征韩彦军王健李洪涛汪莱罗毅 Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

AI development has brought great success to upgrading the information *** the same time,the large-scale artificial neural network for building AI systems is thirsty for computing power,which is barely satisfied by the conventional computing *** the post-Moore era,the increase in computing power brought about by the size reduction of CMOS in very large-scale integrated circuits(VLSIC)is challenging to meet the growing demand for AI computing *** address the issue,technical approaches like neuromorphic computing attract great attention because of their feature of breaking Von-Neumann architecture,and dealing with AI algorithms much more parallelly and energy *** by the human neural network architecture,neuromorphic computing hardware is brought to life based on novel artificial neurons constructed by new materials or *** it is relatively difficult to deploy a training process in the neuromorphic architecture like spiking neural network(SNN),the development in this field has incubated promising technologies like in-sensor computing,which brings new opportunities for multidisciplinary research,including the field of optoelectronic materials and devices,artificial neural networks,and microelectronics integration *** vision chips based on the architectures could reduce unnecessary data transfer and realize fast and energy-efficient visual cognitive *** paper reviews firstly the architectures and algorithms of SNN,and artificial neuron devices supporting neuromorphic computing,then the recent progress of in-sensor computing vision chips,which all will promote the development of AI.

关键词： neuromorphic computing spiking neural network(SNN) in-sensor computing artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Super-resolution diffractive neural network for alloptical direction of arrival estimation beyond diffraction limits

引用

Light(Science & Applications) 2024年第8期13卷 1602-1614页

作者： Sheng Gao Hang Chen Yichen Wang Zhengyang Duan Haiou Zhang Zhi Sun Yuan Shen Xing Lin Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

Wireless sensing of the wave propagation direction from radio sources lays the foundation for communication,radar,navigation,***,the existing signal processing paradigm for the direction of arrival estimation requires the radio frequency electronic circuit to demodulate and sample the multichannel baseband signals followed by a complicated computing process,which places the fundamental limit on its sensing speed and energy ***,we propose the super-resolution diffractive neural networks(S-DNN)to process electromagnetic(EM)waves directly for the DOA estimation at the speed of *** multilayer meta-structures of S-DNN generate super-oscillatory angular responses in local angular regions that can perform the all-optical DOA estimation with angular resolutions beyond the diffraction *** spatial-temporal multiplexing of passive and reconfigurable S-DNNs is utilized to achieve high-resolution DOA estimation over a wide field of *** S-DNN is validated for the DOA estimation of multiple radio sources over 5 GHz frequency bandwidth with estimation latency over two to four orders of magnitude lower than the state-of-the-art commercial devices in *** results achieve the angular resolution over an order of magnitude,experimentally demonstrated with four times,higher than diffraction-limited *** also apply S-DNN’s edge computing capability,assisted by reconfigurable intelligent surfaces,for extremely low-latency integrated sensing and communication with low power *** work is a significant step towards utilizing photonic computing processors to facilitate various wireless sensing and communication tasks with advantages in both computing paradigms and performance over electronic computing.

关键词： beyond optical network

来源：评论

学校读者我要写书评

暂无评论

LiFE:Deep Exploration via Linear-Feature Bonus in Continuous Control

引用

Tsinghua Science and technology 2023年第1期28卷 155-166页

作者： Jiantao Qiu Yu Wang Department of Electronic Engineering and Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084China

Reinforcement Learning(RL)algorithms work well with well-defined rewards,but they fail with sparse/deceptive rewards and require additional exploration *** work introduces a deep exploration method based on the Upper Confidence Bound(UCB)*** proposed method can be plugged into actor-critic algorithms that use deep neural networks as a *** on the conclusion of the regret bound under the linear Markov decision process approximation,we use the feature matrix to calculate the UCB bonus for deep *** proposed method is equivalent to the count-based exploration method in special cases and is suitable for general *** method uses the last d-dimensional feature vector in the critic network and is easy to *** design a simple task,“swim”,to demonstrate the principle of the proposed method to achieve exploration in sparse/deceptive reward ***,we perform an empirical evaluation on sparse/deceptive reward version gym environments and Ackermann robot control *** evaluation results verify that the proposed algorithm can perform effective deep explorations in sparse/deceptive reward tasks.

关键词： Reinforcement Learning(RL) Neural Network(NN) Upper Confidence Bound(UCB)

来源：评论

学校读者我要写书评

暂无评论

Transformer-based downlink precoding design in massive MIMO systems for 5G-advanced and 6G

引用

Science China(information Sciences) 2023年第9期66卷 303-304页

作者： Hao JIANG Linglong DAI Department of Electronic Engineering Tsinghua University Beijing National Research Center for Information Science and Technology(BNRist)

Massive multiple-input multiple-output(MIMO) with a larger number of base station(BS) antennas has been regarded as a key technique to support digital twins and the metaverse in future 5G-Advanced and 6G [1]. To realize the expected high-speed transmission, the channel information state(CSI) is required to design the precoding in BS.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Entity generation algorithm based on reference expansion

引用

Journal of electronic Science and technology 2023年第3期21卷 63-72页

作者： Jia-Jia Ruan Xi-Xu He Min Zhang Yuan Gao Office of Scientific Research&Development University of Electronic Science and Technology of ChinaChengdu611731China School of Resources and Environment University of Electronic Science and Technology of ChinaChengdu611731China Information Center University of Electronic Science and Technology of ChinaChengdu611731China Archives University of Electronic Science and Technology of ChinaChengdu611731China

The extraction and understanding of text knowledge become increasingly crucial in the age of big *** of the current research areas in the field of natural language processing(NLP)is how to accurately understand the text and collect accurate linguistic information because Chinese vocabulary is diverse and *** paper mainly studies the candidate entity generation module of the entity link *** candidate entity generation module constructs an entity reference expansion algorithm to improve the recall rate of candidate *** order to improve the efficiency of the connection algorithm of the entire system while ensuring the recall rate of candidate entities,we design a graph model filtering algorithm that fuses shallow semantic information to filter the list of candidate entities,and verify and analyze the efficiency of the algorithm through *** analyzing the related technology of the entity linking algorithm,we study the related technology of candidate entity generation and entity disambiguation,improve the traditional entity linking algorithm,and give an innovative and practical entity linking *** recall rate exceeds 82%,and the link accuracy rate exceeds 73%.Efficient and accurate entity linking can help machines to better understand text semantics,further promoting the development of NLP and improving the users’knowledge acquisition experience on the text.

关键词： Chinese Wikipedia Entity reference expansion Graph model

来源：评论

学校读者我要写书评

暂无评论

research on Data Push Strategies in Named Data Networking for Tactical Networks 4

Research on Data Push Strategies in Named Data Networking fo...

引用

4th International Conference on electronic information Engineering and Computer Communication, EIECC 2024

作者： Sun, Tianxiang Li, Ning Liu, Peng Li, Zhuang China Ship Research and Development Academy Information and Electronic Technology Department Beijing China

ISBN: (纸本)9798331534622

The intermittent connectivity of links and the high demand for protocol lightweight in tactical networks result in the suboptimal performance of traditional end-to-end transmission models in such networks. The characteristics of Named Data Networking (NDN), such as connectionless communication, multipath forwarding, native support for in-network caching, and asynchronous communication, offer a new perspective for tactical networks. NDN's interest-based pull mechanism can efficiently utilize network caches, reduce redundant transmissions, and enhance the efficiency of data distribution. However, in a tactical environment, information types are diverse and complex, with different priorities among them. For high-priority information, NDN's traditional pull mechanism may lead to tactical mission failure due to latency. Therefore, this paper proposes a tactical network information sharing model, classifies and prioritizes the tactical information transmitted within the model, and introduces two push-based mechanisms for direct data sharing of different types of tactical information. Empirical evidence has demonstrated that the two strategies proposed in this paper exhibit significant improvements over typical NDN forwarding strategies in experimental settings, with success rates that are roughly equivalent to those of the NDN pull mechanism. © 2024 IEEE.

关键词： Data Push Strategy Forwarding Strategy Named Data Networking Tactical Networks

来源：评论

学校读者我要写书评

暂无评论

Reconfigurable Intelligent Surfaces for 6G:Nine Fundamental Issues and One Critical Problem

引用

Tsinghua Science and technology 2023年第5期28卷 929-939页

作者： Zijian Zhang Linglong Dai Department of Electronic Engineering Tsinghua Universityand also with Beijing National Research Center for Information Science and Technology(BNRist)Beijing 100084China

Thanks to the recent advances in metamaterials,Reconfigurable Intelligent Surface(RIS)has emergedas a promising technology for future 6G wireless *** from its high array gain,low cost,and low power consumption,RISs are expected to greatly enlarge signal coverage,improve system capacity,andincrease energy *** this article,we systematically overview the emerging RIS technology with the focuson its key basics,nine fundamental issues,and one critical ***,we first explain the RIS basics,including its working principles,hardware structures,and potential benefits for *** on thesebasics,nine fundamental issues of RISs,such as“What’s the differences between RISs and massive MIMO?”and“Is RIS really intelligent?”,are explicitly addressed to elaborate its technical features,distinguish it from existingtechnologies,and clarify some misunderstandings in the ***,one critical problem of RISs is revealedthat,due to the“multiplicative fading”effect,existing passive RISs can hardly achieve visible performance gains inmany communication scenarios with strong direct *** address this critical problem,a potential solution calledactive RISs is introduced,and its effectiveness is demonstrated by numerical simulations.

关键词： Reconfigurable Intelligent Surface(RIS) sixth generation mobile system(6G) wireless communications

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving Federated Mobility Prediction with Compound Data and Model Perturbation Mechanism

引用

China Communications 2024年第3期21卷 160-173页

作者： Long Qingyue Wang Huandong Chen Huiming Jin Depeng Zhu Lin Yu Li Li Yong Beijing National Research Center for Information Science and Technology(BNRist) Department of Electronic EngineeringTsinghua UniversityBeijing 100084China China Mobile Research Beijing 100032China

Human mobility prediction is important for many ***,training an accurate mobility prediction model requires a large scale of human trajectories,where privacy issues become an important *** rising federated learning provides us with a promising solution to this problem,which enables mobile devices to collaboratively learn a shared prediction model while keeping all the training data on the device,decoupling the ability to do machine learning from the need to store the data in the ***,existing federated learningbased methods either do not provide privacy guarantees or have vulnerability in terms of privacy *** this paper,we combine the techniques of data perturbation and model perturbation mechanisms and propose a privacy-preserving mobility prediction algorithm,where we add noise to the transmitted model and the raw data collaboratively to protect user privacy and keep the mobility prediction *** experimental results show that our proposed method significantly outperforms the existing stateof-the-art mobility prediction method in terms of defensive performance against practical attacks while having comparable mobility prediction performance,demonstrating its effectiveness.

关键词： federated learning mobility prediction privacy

来源：评论

学校读者我要写书评

暂无评论

Enhancing thermoelectric performance in P-type Mg_(3)Sb_(2)-based Zintls through optimization of band gap structure and nanostructuring

引用

Journal of Materials Science & technology 2024年第3期170卷 25-32页

作者： Yi-bo Zhang Ji-Sheng Liang Chengyan Liu Qi Zhou Zhe Xu Hong-bo Chen Fu-cong Li Ying Peng Lei Miao Guangxi Key Laboratory of Information Material Engineering Research Center of Electronic Information Materials and DevicesMinistry of EducationSchool of Material Science and EngineeringGuilin University of Electronic TechnologyGuilin 541004China Guangxi Key Laboratory for Relativity Astrophysics Center on Nanoenergy ResearchGuangxi Key Laboratory of Processing for Nonferrous Metal and Featured MaterialsSchool of Physical Science&TechnologyGuangxi UniversityNanning 530004China Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic TechnologySchool of Information and CommunicationGuilin 541004China

P-type Mg_(3)Sb_(2)-based Zintls have attracted considerable interest in the thermoelectric(TE)field due to their environmental friendliness and low ***,compared to their n-type counterparts,they show relatively low TE performance,limiting their application in TE *** this work,we simultaneously introduce Bi alloying at Sb sites and Ag doping at Mg sites into the Mg_(3)Sb_(2)to coopera-tively optimize the electrical and thermal properties for the first time,acquiring the highest ZT value of∼0.85 at 723 K and a high average ZT of 0.39 in the temperature range of 323-723 K in sample Mg_(2.94)Ag_(0.06)Sb_(1.9)Bi_(0.1).The first-principle calculations show that the codoping of Ag and Bi can shift the Fermi level into the valence band and narrow the band gap,resulting in the increased carrier concentration from 3.50×10^(17)cm^(-3)in the reference Mg 3 Sb 0.9 Bi 0.1 to∼7.88×10^(19)cm^(-3)in sample Mg 2.94 Ag 0.06 Sb 0.9 Bi *** a result,a remarkable power factor of∼778.9μW m^(-1)K^(-2)at 723 K is achieved in sample Mg 2.94 Ag 0.06 Sb 0.9 Bi ***,a low lattice thermal conductivity of∼0.48 W m^(-1)K^(-1)at 723 K is also obtained with the help of phonon scattering at the distorted lattice,point defects,and nano-precipitates in sample Mg 2.94 Ag 0.06 Sb 0.9 Bi *** synergistic effect of using the multi-element co-doping/-alloying to optimize electrical properties in Mg_(3)Sb_(2)holds promise for further improving the TE performance of Zintl phase materials or even others.

关键词： Thermoelectric materials Band engineering Nanostructuring P-type Mg_(3)Sb_(2) Ag and Bi Co-doping

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：