检索结果-内蒙古大学图书馆

IEEE Transactions on Intelligent Vehicles 2024年 1-11页

作者： Lv, Ying Liu, Zhi Li, Gongyang Chang, Xiaojun Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science School of Communication and Information Engineering Shanghai University Shanghai China Faculty of Engineering and Information Technology University of Technology Sydney Australia

Freespace detection holds a crucial role in autonomous driving technology, particularly in unstructured offroad scenarios that present additional challenges compared to structured road environments. Multimodal fusion methods are widely recognized as effective strategies for addressing these challenges. However, current fusion methods often overlook the critical issue of noise interference in multimodal data. To address this issue, we propose a novel Noise-Aware Intermediary Fusion Network for off-road freespace detection, named NAIFNet. This framework is specifically designed to mitigate noise interference during multimodal fusion. The key component of NAIFNet is the Noise-Aware Intermediary Interaction (NAII) module, which incorporates a denoising template as an intermediary during the fusion process. The NAII module employs multimodal features as query vectors, while the key and value vectors are derived from the search region features of the denoising template. At the same time, noise-aware interaction ensures effective denoising for data in each modality. Furthermore, in the decoding phase, we introduce the Denoising-Guided Decoder (DGD). Leveraging the denoising template, this decoder achieves more precise feature restoration and effectively mitigates the impact of noise. Extensive experiments on the popular benchmark of the offroad freespace detection dataset (ORFD) demonstrate that the proposed NAIFNet achieves state-of-the-art performance. IEEE

关键词： Noise abatement

来源：评论

学校读者我要写书评

暂无评论

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...

引用

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

来源：评论

学校读者我要写书评

暂无评论

Modulating p-d orbital hybridization by CuO/Cu nanoparticles enables carbon nanofibers high cycling stability as anode for sodium storage

引用

Rare Metals 2023年第12期42卷 4039-4047页

作者： Zhi-Jia Zhang He-Yi Sun Yue-Fang Chen Yu-Wen Zhao Meng-Meng Zhang Chun-Sheng Li Yan Sun Zhong-Hui Gao Hui-Jun Li Yong Jiang School of Materials Science and Engineering Institute of Quantum Materials and DevicesState Key Laboratory of Separation Membrane and Membrane ProcessesTiangong UniversityTianjin 300387China School of Chemistry and Life Sciences School of Materials Science&Engineeringthe Key Laboratory of Advanced Ceramics and Machining Technology by the Ministry of Education of ChinaSuzhou University of Science and TechnologySuzhou 215009China School of Materials Science&Engineering The Key Laboratory of Advanced Ceramics and Machining Technology By the Ministry of Education of ChinaTianjin UniversityTianjin 300072China Faculty of Engineering and Information Sciences University of WollongongWollongongNSW 2522Australia

Carbon nanofibers(CNFs)have been extensively studied as anode materials for sodium-ion batteries due to their high conductivity,large aspect ratio and good electrochemical *** low specific capacity and low first cycle efficiency of CNFs,however,have hindered its practical ***,we present a facile strategy to synthesize a novel CNFs decorated with Cu/CuO nanoparticles(Cu-CNFs)using magnetron sputtering ***/CuO nanoparticles were uniformly distributed on the surface of *** to the density functional theory(DFT)calculation,Cu/CuO nanoparticles d-orbitals and CNFs p-orbitals present hybridization states,and the Na~+adsorption energy of the modified CNFs decreases from-2.14 to-2.97 *** Cu-CNFs composites exhibit excellent sodium storage properties,presenting a desirable initial Coulombic efficiency of 76%and a high specific reversible capacity of 300 mAh·g^(-1)at 0.1 A·g^(-1)after 400 ***-CNFs anode has excellent cycling stability under high current density,maintaining a high capacity of 150 mAh·g^(-1)at 1 A·g^(-1)after 6000 *** magnetron sputtering to regulate the electronic structure provides a new thought for improving the electrochemical performance of carbon materials.

关键词： Carbon nanofibers Cu/CuO nanoparticles Orbital hybridization Magnetron sputtering Density functional theory calculation

来源：评论

学校读者我要写书评

暂无评论

A dynamic point cloud fast compression framework based on eliminating spatial and temporal redundancy

引用

Multimedia Tools and Applications 2025年 1-19页

作者： Su, Kainan Wang, Zunran Yang, Chenguang The Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou510641 China Huawei Technologies Co Ltd Shenzhen518028 China

Dynamic point clouds can be compressed by eliminating spatial and temporal redundancy, but few research studies have considered both simultaneously. Existing research can only distinguish the specific foreground and background of the scene, achieving the former with a limited compression ratio, while the latter relies on 3D motion estimation with high computing complexity. Therefore, it is difficult to meet the real-time requirement of building remote human-robot interaction system. Aiming at the shortcomings of the above methods, a dynamic point cloud fast compression framework based on eliminating spatial and temporal redundancy is proposed. On the one hand, for eliminating the spatial redundancy, the information of the recognized objects in point cloud data will be replaced with their categories and poses. On the other hand, we eliminate the temporal redundancy by using the motion vector of the point cloud macroblock. Specifically, in order to reduce cost time of the 3D motion estimation, we firstly introduce the 2D image ORB feature to calculate the motion vector from current frame to key frame, and then look for the similar macroblock in key frame. Thus, the information of the macroblocks similar to the key frame in the current frame is replaced by the index of the corresponding macroblocks of the key frame and the motion vector. Experimental results show that the proposed method has higher computational efficiency and compression quality than the existing compression algorithm. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Rydberg-Induced Topological Solitons in Three-Dimensional Rotation Spin–Orbit-Coupled Bose–Einstein Condensates

引用

Chinese Physics Letters 2024年第9期41卷 9-14页

作者： Yang Wang Jinlong Cui Hongkai Zhang Yuan Zhao Siliu Xu Qin Zhou Key Laboratory of Optoelectronic Sensing and Intelligent Control Hubei University of Science and TechnologyXianning 437100China School of Electronic and Information Engineering Hubei University of Science and TechnologyXianning 437100China School of Biomedical Engineering and Imaging Xianning Medical CollegeHubei University of Science and TechnologyXianning 437100China Research Center of Nonlinear Science School of Mathematics and Physical SciencesWuhan Textile UniversityWuhan 430200China

We present a novel approach for generating stable three-dimensional(3D)spatiotemporal solitons(SSs)within a rotating Bose–Einstein condensate,incorporating spin–orbit coupling(SOC),a weakly anharmonic potential and cold Rydberg *** intricate system facilitates the emergence of quasi-stable 3D SSs with topological charges|m|≤3 in two spinor components,potentially exhibiting diverse spatial *** findings reveal that the Rydberg long-range interaction,spin–orbit coupling,and rotational angular frequency exert significant influence on the domains of existence and stability of these ***,the Rydberg interaction contributes to a reduction in the norm of topological solitons,while the SOC plays a key role in stabilizing the SSs with finite topological *** research of SSs exhibits potential applications in precision measurement,quantum information processing,and other advanced technologies.

关键词： Rydberg topological Einstein

来源：评论

学校读者我要写书评

暂无评论

Optimisation of sparse deep autoencoders for dynamic network embedding

引用

CAAI Transactions on Intelligence technology 2024年第6期9卷 1361-1376页

作者： Huimei Tang Yutao Zhang Lijia Ma Qiuzhen Lin Liping Huang Jianqiang Li Maoguo Gong College of Computer Science and Software Engineering Shenzhen UniversityShenzhenChina Institute for Infocomm Research Agency for Science Technology and ResearchSingaporeSingapore Key Laboratory of Collaborative Intelligence Systems Ministry of EducationXidian UniversityXi'anChina

Network embedding(NE)tries to learn the potential properties of complex networks represented in a low-dimensional feature ***,the existing deep learningbased NE methods are time-consuming as they need to train a dense architecture for deep neural networks with extensive unknown weight parameters.A sparse deep autoencoder(called SPDNE)for dynamic NE is proposed,aiming to learn the network structures while preserving the node evolution with a low computational *** tries to use an optimal sparse architecture to replace the fully connected architecture in the deep autoencoder while maintaining the performance of these models in the dynamic ***,an adaptive simulated algorithm to find the optimal sparse architecture for the deep autoencoder is *** performance of SPDNE over three dynamical NE models(*** architecture-based deep autoencoder method,DynGEM,and ElvDNE)is evaluated on three well-known benchmark networks and five real-world *** experimental results demonstrate that SPDNE can reduce about 70%of weight parameters of the architecture for the deep autoencoder during the training process while preserving the performance of these dynamical NE *** results also show that SPDNE achieves the highest accuracy on 72 out of 96 edge prediction and network reconstruction tasks compared with the state-of-the-art dynamical NE algorithms.

关键词： deep autoencoder dynamic networks low-dimensional feature space network embedding sparse structure

来源：评论

学校读者我要写书评

暂无评论

AdaPIP: Adaptive picture-in-picture guidance for 360° film watching

引用

Computational Visual Media 2024年第3期10卷 487-503页

作者： Yi-Xiao Li Guan Luo Yi-Ke Xu Yu He Fang-Lue Zhang Song-Hai Zhang Department of Computer Science and Technology Tsinghua UniversityBeijingChinaand Beijing National Research Center for Information Science and Technology(BNRist)Tsinghua UniversityBeijingChina Key Laboratory of Space Utilization Technology and Engineering Center for Space UtilizationChinese Academy of SciencesBeijingChina Victoria University of Wellington WellingtonNew Zealand

360°videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful *** mitigate this problem,picture-in-picture(PIP)guidance was proposed using preview windows to show regions of interest(ROIs)outside the current view *** identify several drawbacks of this representation and propose a new method for 360° film watching called *** enhances traditional PIP by adaptively arranging preview windows with changeable view ranges and *** addition,AdaPIP incorporates the advantage of arrow-based guidance by presenting circular windows with arrows attached to them to help users locate the corresponding ROIs more *** also adapted AdaPIP and Outside-In to HMD-based immersive virtual reality environments to demonstrate the usability of PIP-guided approaches beyond 2D *** user experiments on 2D screens,as well as in VR environments,indicate that AdaPIP is superior to alternative methods in terms of visual experiences while maintaining a comparable degree of immersion.

关键词： 360°videos picture-in-picture(PIP) virtual reality(VR) visual guidance

来源：评论

学校读者我要写书评

暂无评论

Exploration of the Application of ChatGPT in Command and Control 9

Exploration of the Application of ChatGPT in Command and Con...

引用

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

作者： Zhou, Guang-Xia Yan, Jing-Jing Nanjing Research Institute of Electronics Engineering Science and Technology on Information Systems Engineering Laboratory Nanjing China

ISBN: (纸本)9798350330076

The formidable content generation capacity exhibited by ChatGPT has catalyzed a novel resurgence in the realm of artificial intelligence applications. Diverse sectors of society are actively delving into the integration of this product within their respective industries to facilitate remarkable advancements, encompassing domains such as Command and Control. This discourse undertakes a concise examination of the evolutionary trajectory of ChatGPT, presents its potential applications within the Command and Control domain, encompassing facets such as document generation, knowledge-based question and answer, intelligence analysis, strategic planning, and battlefield operations control. Moreover, it probes the intricacies encountered in the utilization of ChatGPT as a comprehensive artificial intelligence solution within the ambit of Command and Control, thereby offering a salient reference for the comprehensive exploration and implementation of generative AI technology epitomized by ChatGPT. © 2023 IEEE.

关键词： Feedback

来源：评论

学校读者我要写书评

暂无评论

Multi-timescale feature extraction method of wastewater treatment process based on adaptive entropy

引用

Chinese Journal of Chemical engineering 2024年第12期76卷 264-271页

作者： Honggui Han Yaqian Zhao Xiaolong Wu Hongyan Yang School of Information Science and Technology Beijing University of TechnologyBeijing 100124China College of Environmental Sciences and Engineering Beijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China Engineering Research Center of Digital Community Ministry of EducationBeijing 100124China

In wastewater treatment systems,extracting meaningful features from process data is essential for effective monitoring and ***,the multi-time scale data generated by different sampling frequencies pose a challenge to accurately extract *** solve this issue,a multi-timescale feature extraction method based on adaptive entropy is ***,the expert knowledge graph is constructed by analyzing the characteristics of wastewater components and water quality data,which can illustrate various water quality parameters and the network of relationships among ***,multiscale entropy analysis is used to investigate the inherent multi-timescale patterns of water quality data in depth,which enables us to minimize information loss while uniformly optimizing the ***,we harness partial least squares for feature extraction,resulting in an enhanced representation of sample data and the iterative enhancement of our expert knowledge *** experimental results show that the multi-timescale feature extraction algorithm can enhance the representation of water quality data and improve monitoring capabilities.

关键词： Feature extraction Knowledge graph Wastewater treatment process Adaptive entropy

来源：评论

学校读者我要写书评

暂无评论

Measuring the gravity potential between two remote sites with CVSTT technique using two hydrogen clocks

引用

地球空间信息科学学报（英文版） 2024年第5期27卷中插19,1719-1738页

作者： Kuangchao Wu Wen-Bin Shen Xiao Sun Chenghui Cai Ziyu Shen Time and Frequency Geodesy Center School of Geodesy and Geomatics/Key Laboratory of Geospace Environment and Geodesy of Ministry of EducationWuhan UniversityWuhanChina Time and Frequency Geodesy Center School of Geodesy and Geomatics/Key Laboratory of Geospace Environment and Geodesy of Ministry of EducationWuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina School of Resource and Environment Hubei University of Science and TechnologyXianningChina

According to General Relativity Theory(GRT),by comparing the frequencies between two precise clocks at two different stations,the gravity potential(geopotential)difference between the two stations can be determined due to the gravity frequency shift ***,we conduct a clock-transportation experiment for measuring geopotential differ-ences based on frequency comparisons via satellite links between two remote hydrogen atomic *** on the net frequency shift between the two clocks in two different periods,the geopotential difference between stations of the Beijing 203 Institute laboratory(BIL)and Luojiashan Time-frequency Station(LTS)is *** show that the experimental result deviated from the reference of Earth gravity model EGM2008 result by(38.5±45.9)m in Orthometric Height(OH).The results are consistent with the frequency stabilities of the hydrogen clocks(at the level of 10-15)used in the *** the rapid development of time and frequency science and technology,the approach discussed in this study for measuring the geopotential is prospective and thus,could have broad applications.

关键词： Relativistic geodesy gravity potential atomic clock CVSTT technique ensemble empirical mode decomposition(EEMD)

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：