检索结果-内蒙古大学图书馆

9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Guo, Yupu Cai, Fei Chen, Honghui Chen, Chonghao Zhang, Xin Zhang, Menxi National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350330076

To meet the requirements of precise recommendation in the era of information warfare, there has been a growing interest in explainable recommendations in the field of command and control in recent years. While Variational Autoencoders (VAE) have been effective in generating explanations, diffusion models have shown superior performance in fields like image processing and natural language processing. This paper proposes a Diffusion-based explainable recommendation model (DIEXRS) to enhance the effectiveness of explanations further. The DIEXRS model consists of two processes: diffusion (training) and reverse (inference). User and item embeddings are generated based on their IDs, along with comment embeddings from user comments. These embeddings are incorporated into the diffusion process, where the Transformer model is trained to fit the noise and improve the decoder's decoding capabilities. In the reverse process, a random Gaussian sample and the user's ID are used to obtain the item's ID and corresponding interpretation embedding, providing the recommended interpretation through the decoder. Experimental results on two public datasets demonstrate that the DIEXRS model achieves state-of-the-art performance in interpretable recommendations compared to other baselines. This highlights the potential of diffusion models in enhancing the explainability and effectiveness of recommendation systems © 2023 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

Federated Learning in Heterogeneous Cloud Computing Environment 9

Federated Learning in Heterogeneous Cloud Computing Environm...

引用

9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Li, Yaoyu Jin, Shuai Zhu, Jianghan National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350330076

This study examines key characteristics of cloud computing technology within the domain of federated learning, with the primary objective of exploring the principles concerning distributed computing acceleration ratio and storage input/output efficiency across various network segments. Combining the heterogeneous characteristics of cloud segments, we present a novel approach for distributed model training strategies by using the federated learning technique. This approach can keep the accuracy of the model, enhance training efficiency, and protect user privacy. The experiment demonstrates that the proposed strategy outperforms the baseline method, which does not account for variations in different segments. © 2023 IEEE.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

LKMT:Linguistics Knowledge-Driven Multi-Task Neural Machine Translation for Urdu and English

引用

Computers, Materials & Continua 2024年第10期81卷 951-969页

作者： Muhammad Naeem Ul Hassan Zhengtao Yu Jian Wang Ying Li Shengxiang Gao Shuwan Yang Cunli Mao Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and TechnologyKunming650500China

Thanks to the strong representation capability of pre-trained language models,supervised machine translation models have achieved outstanding ***,the performances of these models drop sharply when the scale of the parallel training corpus is *** the pre-trained language model has a strong ability for monolingual representation,it is the key challenge for machine translation to construct the in-depth relationship between the source and target language by injecting the lexical and syntactic information into pre-trained language *** alleviate the dependence on the parallel corpus,we propose a Linguistics Knowledge-Driven MultiTask(LKMT)approach to inject part-of-speech and syntactic knowledge into pre-trained models,thus enhancing the machine translation *** the one hand,we integrate part-of-speech and dependency labels into the embedding layer and exploit large-scale monolingual corpus to update all parameters of pre-trained language models,thus ensuring the updated language model contains potential lexical and syntactic *** the other hand,we leverage an extra self-attention layer to explicitly inject linguistic knowledge into the pre-trained language model-enhanced machine translation *** on the benchmark dataset show that our proposed LKMT approach improves the Urdu-English translation accuracy by 1.97 points and the English-Urdu translation accuracy by 2.42 points,highlighting the effectiveness of our LKMT *** ablation experiments confirm the positive impact of part-of-speech and dependency parsing on machine translation.

关键词： Urdu NMT(neural machine translation) Urdu natural language processing Urdu Linguistic features low resources language linguistic features pretrain model

来源：评论

学校读者我要写书评

暂无评论

AE-TGN: Attribute-Empowered Temporal Graph Networks for Dynamic Graph Link Prediction

AE-TGN: Attribute-Empowered Temporal Graph Networks for Dyna...

引用

2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber science and technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Chen, Chonghao Luo, Aimin Huang, Yang National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350304602

Temporal/dynamic graph link prediction task requires the AI systems to predict the possible future edges based on the observation history of graph events. Existing works for the temporal graph learning mainly use the recurrent neural networks or self-attention mechanism to model the interaction information of graph, and ignore the node attribute features. In particular, they usually adopt a static attribute encoder where the attribute representation can not adjust according the graph structure evolution. To address this issue, we propose Attribute-Empowered Temporal Graph Networks (AE-TGN), which leverages a dynamic attribute leaning module to fine-tune the attribute embedding. In detail, we use the recurrent networks to encode the memory of nodes and the temporal self-attention mechanism to capture the spatial graph information. Next, a trainable multi-layer perceptron is employed to adjust the node attribute representation. Finally, the node attribute embeddings are concatenated with the memory vectors as the temporal embeddings of nodes, and fed into the link prediction decoder. Experimental results on two real-world datasets demonstrates the superiority of our proposal by beating competitive baselines. Specially, AE-TGN presents obvious improvements in the inductive setting, which validates that the attribute encoder can produce accurate node representation for the downstream task. © 2023 IEEE.

关键词： Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

Phase-tailored assembly and encoding of dissipative soliton molecules

引用

Light(science & Applications) 2023年第6期12卷 1061-1070页

作者： Yusong Liu Siyun Huang Zilong Li Haoguang Liu Yixiang Sun Ran Xia Lisong Yan Yiyang Luo Huanhuan Liu Gang Xu Qizhen Sun Xiahui Tang Perry Ping Shum School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhanChina Key Laboratory of Optoelectronic Technology and Systems(Ministry of Education) Chongqing UniversityChongqingChina School of Engineering and Materials Science Queen Mary University of LondonLondonUK Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhenChina

Self-assembly of particle-like dissipative solitons,in the presence of mutual interactions,emphasizes the vibrant concept of soliton molecules in varieties of laser *** manipulation of the molecular patterns,held by the degrees of freedom of internal motions,still remains challenging to explore more efficient and subtle tailoring approaches for the increasing ***,we report a new phase-tailored quaternary encoding format based on the controllable internal assembly of dissipative soliton *** manipulation of the energy exchange of soliton-molecular elements stimulates the deterministic harnessing of the assemblies of internal ***-assembled soliton molecules are tailored into four phase-defined regimes,thus constituting the phase-tailored quaternary encoding *** phase-tailored streams are endowed with great robustness and are resistant to significant timing *** these results experimentally demonstrate the programmable phase tailoring and exemplify the application of the phase-tailored quaternary encoding,prospectively promoting high-capacity all-optical storage.

关键词： soliton dissipative quaternary

来源：评论

学校读者我要写书评

暂无评论

Combustion characteristics of millimeter-sized aluminum particles in fluidized bed under various O_(2)/CO_(2)/H_(2)O atmospheres Author links open overlay panel

引用

Particuology 2024年第8期91卷 315-322页

作者： Jialing Zhou Rui Zhang Dong Liu Key Laboratory of Thermal Control of Electronic Equipment Ministry of Industry and Information TechnologyNanjing210094China Advanced Combustion Laboratory School of Energy and Power EngineeringNanjing University of Science and TechnologyNanjing210094China

Aluminum is an attractive alternative fuel,but it burns very inefficiently due to the formation of a dense Al_(2)O_(3)layer which prevents O_(2)from diffusion to the surface of Al *** previous experiments,the combustion of millimeter-sized Al(mAl)particles in the fluidized bed has achieved a substantial increase in the combustion efficiency,but further improvements are still *** this study,the effects of reaction atmosphere on the fluidized combustion of mAl particles were *** experiments with different O_(2)/H_(2)O/CO_(2)concentrations were *** experimental results indicate that the combustion efficiency of mAl particles in fluidized bed increases as the mole fraction of O_(2),H_(2)O or CO_(2)increases,and the highest combustion efficiency can reach 38.7%.After the analysis of the oxide film on the surface of aluminum particles,it was found that it is easier to generate the unstableθ-Al_(2)O_(3)under CO_(2)atmosphere,and it is easier to generate the unstableγ-Al_(2)O_(3)andθ-Al_(2)O_(3)under H_(2)O *** unstable Al_(2)O_(3)film is more likely to be abraded in the fluidized bed,which leads to the effective improvement of the combustion efficiency.

关键词： Al combustion Fluidized bed Atmosphere Combustion efficiency

来源：评论

学校读者我要写书评

暂无评论

Fabrication and modulation of flexible electromagnetic metamaterials

引用

Microsystems & Nanoengineering 2025年第1期11卷 45-64页

作者： Yanshuo Feng Misheng Liang Xiaoguang Zhao Rui You School of Instrument Science and Opto-Electronics Engineering Beijing Information Science and Technology University100192 BeijingChina Laboratory of Intelligent Microsystems Beijing Information Science and Technology University100192 BeijingChina Department of Precision Instrument Tsinghua University100084 BeijingChina Beijing Future Chip Technology Advanced Innovation Center 100192 BeijingChina

Flexible electromagnetic metamaterials are a potential candidate for the ideal material for electromagnetic control due to their unique physical properties and *** electromagnetic metamaterials can be designed to exhibit specific responses to electromagnetic waves within a particular frequency *** shows that flexible electromagnetic metamaterials exhibit significant electromagnetic control characteristics in microwave,terahertz,infrared and other frequency *** has a wide range of applications in the fields of electromagnetic wave absorption and stealth,antennas and microwave devices,communication information and other *** this review,the currently popular fabrication methods of flexible electromagnetic metamaterials are first summarized,highlighting the electromagnetic modulation capability in different frequency ***,the applications of flexible electromagnetic metamaterials in four aspects,namely electromagnetic stealth,temperature modulation,electromagnetic shielding,and wearable sensors,are elaborated and summarized in *** addition,this review also discusses the shortcomings and limitations of flexible electromagnetic metamaterials for electromagnetic ***,the conclusion and perspective of the electromagnetic properties of flexible electromagnetic metamaterials are presented.

关键词： electromagnetic waves electromagnetic control electromagnetic metamaterials modulation fabrication microwave flexible electromagnetic metamaterials

来源：评论

学校读者我要写书评

暂无评论

Stability in Inverse Problem of Determining Two Parameters for the Moore-Gibson-Thompson Equation with Memory Terms

引用

Journal of systems science & Complexity 2024年第6期37卷 2368-2389页

作者： FU Songren CHEN Liangbiao ZHANG Ji-Feng Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Automation and Electrical Engineering Zhongyuan University of TechnologyZhengzhou 450007China

In this paper,the authors consider the inverse problem for the Moore-Gibson-Thompson equation with a memory term and variable diffusivity,which introduce a sort of delay in the dynamics,producing nonlocal effects in *** H¨older stability of simultaneously determining the spatially varying viscosity coefficient and the source term is obtained by means of the key pointwise Carleman estimate for the Moore-Gibson-Thompson *** the sake of generality in mathematical tools,the analysis of this paper is discussed within the framework of Riemannian geometry.

关键词： Carleman estimate memory term Moore-Gibson-Thompson equation stability Riemannian geometry

来源：评论

学校读者我要写书评

暂无评论

An Optimal and Fast Precoding for RIS-Assisted MIMO Communications

引用

China Communications 2024年第11期21卷 123-140页

作者： Feng Yimeng Jiang Yi Qin Yajie Jin Shi Key Laboratory for Information Science of Electromagnetic Waves(MoE) School of Information Science and TechnologyFudan UniversityShanghai 200433China Centre of Micro-Nano Systems School of Information Science and TechnologyFudan UniversityShanghai 200433China The National Mobile Communications Research Laboratory Southeast UniversityNanjing 211189China

In addition to conventional antenna-based array,the reconfigurable intelligent surface(RIS)holds promise as an alternative technology for manufacturing massive multi-input multi-output(MIMO)array for beyond 5G *** paper designs a fast algorithm to optimize the RIS-based MIMO precoder for maximizing the spectral efficiency,which includes the digital precoder and the RIS reflection *** evaluate the optimality of the algorithm by deriving an RIS channel capacity upper bound utilizing majorization *** scheme can work for an RIS in both frequency flat and frequency selective channels,with either continuously or discretely tunable *** simulation results show that the proposed algorithm can achieve the capacity upper bound in some scenarios,which empirically proves its *** is also shown that our algorithm is one-to-two orders of magnitude faster than the state-of-the-art methods in the literature.

关键词： majorization theory MIMO precoder reconfigurable intelligent surface

来源：评论

学校读者我要写书评

暂无评论

Cooperative output regulation of heterogeneous directed multi-agent systems:a fully distributed model-free reinforcement learning framework

引用

science China(information sciences) 2025年第2期68卷 170-185页

作者： Xiongtao SHI Yanjie LI Chenglong DU Huiping LI Chaoyang CHEN Weihua GUI Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics School of Mechanical Engineering and AutomationHarbin Institute of Technology (Shenzhen) School of Automation Central South University School of Marine Science and Technology Northwestern Polytechnical University School of Information and Electrical Engineering Hunan University of Science and Technology

In this paper, the cooperative output regulation(COR) problem of a class of unknown heterogeneous multi-agent systems(MASs) with directed graphs is studied via a model-free reinforcement learning(RL) based fully distributed eventtriggered control(ETC) strategy. First, we consider the scenario that the exosystem is accessible globally to all agents, an internal model-based augmented algebraic Riccati equation(AARE) is constructed, and its solution is learned by the proposed model-free RL algorithm via online input-output data. Further, for the scenario that the exosystem is accessible only to its adjacent followers, the distributed observers are designed for each agent to get the state of the exosystem, and an internal modelbased fully distributed adaptive ETC protocol is then synthesized to construct the corresponding AARE, and the feedback gain matrix is learned in a model-free fashion. The model-free RL-based control protocol proposed in this paper can not only remove the prior knowledge of agents' dynamics, but also release the dependence on global information by the adaptive event-triggered mechanism(ETM) and the new graph-based Lyapunov function. Finally, simulation results are illustrated to show the feasibility and effectiveness of the proposed control scheme.

关键词： model-free reinforcement learning unknown heterogeneous multi-agent systems fully distributed event-triggered control directed graph

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：