检索结果-内蒙古大学图书馆

Long Duration Coverage control of Multiple Robotic Surface Vehicles Under Battery Energy Constraints

IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1695-1698页

作者： Shengnan Gao Zhouhua Peng Haoliang Wang Lu Liu Dan Wang the School of Electrical and Control Engineering North China University of TechnologyBeijing 100144 the School of Marine Electrical Engineering Dalian Maritime UniversityDalian 116026China State Key Laboratory of Maritime Technology and Safety Dalian 116026 Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian 116026 the School of Marine Engineering Dalian Maritime UniversityDalian 116026

Dear Editor,This letter addresses long duration coverage problem of multiple robotic surface vehicles(RSVs) subject to battery energy constraints,in addition to uncertainties and disturbances. An anti-disturbance energy-aware control method is proposed for performing coverage task of RSVs. Firstly, a centroidal Voronoi tessellation(CVT) is used to optimize the partition of the given coverage area.

关键词： Robotic Battery partition

来源：评论

学校读者我要写书评

暂无评论

OCDM with Index Modulation for Autonomous Underwater Vehicles communication

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2024年 1-16页

作者： Jia, Zhenyu Zhang, Rongxin Chen, Zhong Yuan, Fei Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Xiamen University Xiamen China School of Electronic Science and Engineering Xiamen University Xiamen China

Autonomous underwater vehicles (AUVs) equipped with acoustic modems are currently one of the important means of obtaining underwater environment data such as sounds and images. They rely on high-speed underwater acoustic (UWA) communication technology for data transmission tasks. Orthogonal chirp division multiplexing (OCDM) is a multicarrier method based on chirp spread spectrum (CSS) which has better reliability in frequency selective fading channels than orthogonal frequency division multiplexing (OFDM). In this work, we combine index modulation (IM) and propose an OCDM-IM system that provides faster data rates when it activates the same number of subchirps as OCDM. On the other hand, it activates fewer subchirps when the data rate is the same, so it has better anti-interference capability. The simulation results under a measured UWA channel and random channels and the experimental results show that OCDM-IM has a better bit-error rate (BER) performance than that of OCDM and OFDM-IM systems when the subchirps are not fully loaded. In particular, when a small number of subchirps are activated, OCDM-IM is able to provide up to 2x bit rate with more than 5 dB improvement in BER performance. Our simulation and experimental results also show that IM has much better reliability than constellation mapping when Doppler effect is considered. Therefore, OCDM-IM is more suitable for the communication of AUVs. IEEE

关键词： Peak to average power ratio

来源：评论

学校读者我要写书评

暂无评论

Research on Named Entity Recognition for Oral History Text

Research on Named Entity Recognition for Oral History Text

引用

2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Hu, Chaoyu Bai, Shilei Zhang, Mengfei Communication University of China School of Information and Communication Engineering Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China

ISBN: (纸本)9798350380347

Oral history involves conveying experienced events through spoken narratives, typically preserved and later studied by converting spoken language into text. Named entity recognition (NER) is the recognition of meaningful named entities in text, such as person names, locations, organizations, etc. Conducting NER research on oral history text is significant as it not only facilitates the verification of named entities by researchers but also allows for the extraction of key information from texts through named entities. By collecting oral history corpus, we establish an oral history text dataset, manually annotating all texts with six entity labels and repeatedly verifying them manually. Utilizing the concept of machine reading comprehension (MRC), a semantic fusion module was added, integrating label information into text information using a cross-attention mechanism, and decoding the corresponding entity labels through span decoding. The final model performs well on the oral history text dataset and also showed good performance on general Chinese datasets. © 2024 IEEE.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Multispectral radiation thermometry approach based on feasible region constraints-divide and conquer optimization

引用

Optics Express 2025年第10期33卷 20736-20753页

作者： Huang, Hairui Zhang, Wei Yu, Peifeng Xu, Jiawen Liu, Xin Gao, Shan Wang, Chao Zhang, Zezhan Niu, Yi Jiang, Jing Clean Energy Materials and Engineering Center School of Electronic Science and Engineering State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of China Chengdu611731 China The State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University Beijing100084 China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology School of Information and Communication Engineering Harbin Engineering University Harbin150001 China

Multispectral radiation thermometry is a widely used non-contact temperature measurement method, particularly in extreme environments. However, accurately retrieving the true temperature remains challenging due to the unknown emissivity of the object. This paper proposes a collaborative optimization approach (feasible region constraints-divide and conquer optimization), which combines a feasible domain constraints method (PCR-PSO) with a divide and conquer optimization algorithm (multi-BFGS). Simulation results show that the proposed approach reduces the temperature inversion error from 0.59% to 0.19% compared to the traditional BFGS algorithm. Experimental results obtained with stainless steel samples indicate an average error of less than 0.2% and an average processing time of 0.2 seconds, highlighting the potential for real-time temperature measurement in engineering applications. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Temperature measurement

来源：评论

学校读者我要写书评

暂无评论

A Survey on Negative Transfer

引用

IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 305-329页

作者： Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China IEEE the School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400044China

Transfer learning(TL)utilizes data or knowledge from one or more source domains to facilitate learning in a target *** is particularly useful when the target domain has very few or no labeled data,due to annotation expense,privacy concerns,***,the effectiveness of TL is not always *** transfer(NT),i.e.,leveraging source domain data/knowledge undesirably reduces learning performance in the target domain,and has been a long-standing and challenging problem in *** approaches have been proposed in the literature to address this ***,there does not exist a systematic *** paper fills this gap,by first introducing the definition of NT and its causes,and reviewing over fifty representative approaches for overcoming NT,which fall into three categories:domain similarity estimation,safe transfer,and NT *** areas,including computer vision,bioinformatics,natural language processing,recommender systems,and robotics,that use NT mitigation strategies to facilitate positive transfers,are also ***,we give guidelines on NT task construction and baseline algorithms,benchmark existing TL and NT mitigation approaches on three NT-specific datasets,and point out challenges and future research *** ensure reproducibility,our code is publicized at https://***/chamwen/NT-Benchmark.

关键词： Domain adaptation domain similarity negative transfer positive transfer transfer learning

来源：评论

学校读者我要写书评

暂无评论

Asymmetric network pseudo labels mutual refinement for unsupervised domain adaptation person re-identification

引用

Multimedia Tools and Applications 2024年第40期83卷 88091-88111页

作者： Yun, Xiao Chen, Jiawang Zhang, Xiaoguang Dong, Kaiwen Li, Song Sun, Yanjing School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Xi’an Key Laboratory of Heterogeneous Network Convergence Communication Xi’an710054 China

In the task of unsupervised domain adaptation person re-identification, the traditional symmetric dual-branch network only generates one single feature, which ignores the difference and complementarity of the network and is prone to produce wrong cluster results. To solve this problem, the asymmetric network pseudo labels mutual refinement (ANPR) algorithm is proposed to design an asymmetric network (ASNet), containing diverse features for mutual supervision. One branch of ASNet employs convolutional operations with constrained receptive fields to extract local information, and the other branch uses the contextual transformer block to capture global features. Secondly, this paper constructs the pseudo labels mutual refinement (PMR) module, which generates two sets of clustering results using global and local potential features of unlabeled samples. PMR suppresses the inconsistent clustering results and retains the consistent ones, which gradually improves the quality of pseudo labels for dual-brach mutual supervision. In addition, the feature space loss (FSL) function is designed to focus on the relative distance of samples in the feature layer without relying on the pseudo labels in the task layer, which effectively avoids the influence of noisy pseudo labels in the optimization process. The proposed method is evaluated on three popular datasets, and extensive experimental results demonstrate its effectiveness. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Wireless Information and Power Transfer in Underwater Acoustic Sensor Networks

引用

china communications 2024年第10期21卷 256-266页

作者： Feng Yizhi Ji Fei School of Electronic and Information Engineering South China University of TechnologyGuangzhou 510640China Key Laboratory of Marine Environmental Survey Technology and Application Ministry of Natural ResourcesGuangzhou 510300China

Wireless information and power transfer(WIPT) enables simultaneously communications and sustainable power supplement without the erection of power supply lines and the replacement operation of the batteries for the terminals. The application of WIPT to the underwater acoustic sensor networks(UWASNs) not only retains the long range communication capabilities, but also provides an auxiliary and convenient energy supplement way for the terminal sensors, and thus is a promising scheme to solve the energy-limited problem for the UWASNs. In this paper, we propose the integration of WIPT into the UWASNs and provide an overview on various enabling techniques for the WIPT based UWASNs(WIPT-UWASNs) as well as pointing out future research challenges and opportunities for WIPT-UWASNs.

关键词： underwater acoustic modem underwater acoustic sensor network(UWASN) wireless information and power transfer(WIPT)

来源：评论

学校读者我要写书评

暂无评论

UGC-Net: A Generative communication Framework for Underwater Images Oriented to Semantic Understanding 16

UGC-Net: A Generative Communication Framework for Underwater...

引用

16th International Conference on Signal Processing Systems, ICSPS 2024

作者： Li, Yuetong Peng, Yuyang Yuan, Fei The Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Ministry of Education Xiamen University Xiamen361005 China

ISBN: (纸本)9781510689251

In marine exploration, underwater images represent the most intuitive means for human perception of the underwater environment. However, traditional image encoding and transmission methods struggle to ensure clear reconstruction quality due to bandwidth limitations and significant interference in underwater acoustic (UWA) channels. Semantic communication seeks to transform pixel-level transmission into semantic-level transmission, thereby enhancing the reliability and efficiency of communication. In this paper, we propose a generative underwater image communication framework designed for semantic understanding, referred to as UGC-Net. In this framework, only semantic features are reliably transmitted end-to-end through the UWA channels. At the receiver, the spatial relationships between semantic features are first learned based on contextual information, which is then used to generate high-quality underwater images employing a conditional diffusion model. Experimental results demonstrate that our approach exhibits robust and accurate generative performance, even in challenging conditions characterized by low signal-to-noise ratios (SNR). © 2025 SPIE.

关键词： Underwater imaging

来源：评论

学校读者我要写书评

暂无评论

Multipath planning based on multimodal optimization slime mold algorithm

Multipath planning based on multimodal optimization slime mo...

引用

2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Gao, Luli Ren, Hui Communication University of China School of Information and Communication Engineering Bejing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of China Ministry of Culture and Tourism Bejing China Beijing Key Laboratory of Modern Entertainment Technology Communication University of China Bejing China

ISBN: (纸本)9798350380347

Multipath planning aims to find multiple optimal paths simultaneously, and its essence is a multimodal optimization problem. In recent years, swarm intelligence (SI) optimization algorithms have provided effective solutions for multimodal optimization. In this paper, the multimodal optimization slime mold algorithm (MOSMA) based on master-slave structure and local search strategy (LS) is proposed to solve multipath planning problems in small cultural complex. Firstly, a local search strategy is introduced to eliminate the influence of the 'centerbias' operator and improve the quality of solutions. Secondly, the master-salves structure is introduced to preserve the diversity of the population and enable it to simultaneously locate multiple solutions. Finally, the performance of MOSMA is analyzed on several multimodal functions, and an example of path planning in a small cultural complex is given. © 2024 IEEE.

关键词： Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

Fault Prediction Method of Stage Lifts Based on Digital Twin

Fault Prediction Method of Stage Lifts Based on Digital Twin

引用

2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Wang, Huiqin Zhang, Chunxi Li, Zhen Xiao, Mengjiao Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China Communication University of China School of Information and Communication Engineering Beijing China

ISBN: (纸本)9798350380347

To improve the safety of stage lifts' operation and reduce the failure rate, a digital-twin assisted fault prediction method is proposed here. Signals such as vibration and temperature are collected from the virtual and physical models. A fault prediction model based on Graph Convolutional Networks (GCN) is constructed to identify the potential faults of stage lift. The experiment results illustrate the effectiveness of the proposed model. It would enhance the safety and stability of stage equipment, and provide reliable support for stage performances. © 2024 IEEE.

关键词： Prediction models

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：