Science China Information Sciences最新文献_第4页

A path planning algorithm for a crop monitoring fixed-wing unmanned aerial system 作物监测固定翼无人机系统的路径规划算法

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-25 DOI: 10.1007/s11432-023-4087-4

Longhao Qian, Yi Lok Lo, Hugh Hong-tao Liu

引用次数: 0

An adaptive 3D reconstruction method for asymmetric dual-angle multispectral stereo imaging system on UAV platform 无人机平台上不对称双角度多光谱立体成像系统的自适应三维重建方法

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-25 DOI: 10.1007/s11432-024-4056-8

Chen Wang, Xian Li, Yanfeng Gu, Zixu Wang

{"title":"An adaptive 3D reconstruction method for asymmetric dual-angle multispectral stereo imaging system on UAV platform","authors":"Chen Wang, Xian Li, Yanfeng Gu, Zixu Wang","doi":"10.1007/s11432-024-4056-8","DOIUrl":"https://doi.org/10.1007/s11432-024-4056-8","url":null,"abstract":"A multispectral imaging system often cannot capture 3D spatial information owing to hardware limitations, which diminishes the effectiveness across various domains. To address this problem, we have developed a multispectral stereo imaging system along with an adaptive 3D reconstruction algorithm. Unlike existing unmanned aerial vehicle stereo imaging systems, our multispectral stereo imaging system uses two multispectral cameras with asymmetric spectral bands positioned at different angles. This design enables the acquisition of a higher number of bands and lateral spatial information while maintaining a lightweight structure. This system introduces challenges such as large geometric distortions and intensity differences between multiple bands. To accurately recover 3D spatial information, we propose an adaptive 3D reconstruction method. This method employs a position and orientation system-assisted projection transformation and a normalized threshold adjustment strategy. Finally, mutual information is used to reconstruct the multispectral images densely, effectively addressing nonlinear differences and generating a comprehensive multispectral point cloud. Our stereo system was used for two real data collections in different regions, and the efficacy of the proposed 3D reconstruction method was validated by comparing it with existing methods and commercial software.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"86 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Autonomous multi-drone racing method based on deep reinforcement learning 基于深度强化学习的多无人机自主竞速方法

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-25 DOI: 10.1007/s11432-023-4029-9

Yu Kang, Jian Di, Ming Li, Yunbo Zhao, Yuhui Wang

{"title":"Autonomous multi-drone racing method based on deep reinforcement learning","authors":"Yu Kang, Jian Di, Ming Li, Yunbo Zhao, Yuhui Wang","doi":"10.1007/s11432-023-4029-9","DOIUrl":"https://doi.org/10.1007/s11432-023-4029-9","url":null,"abstract":"Racing drones have attracted increasing attention due to their remarkable high speed and excellent maneuverability. However, autonomous multi-drone racing is quite difficult since it requires quick and agile flight in intricate surroundings and rich drone interaction. To address these issues, we propose a novel autonomous multi-drone racing method based on deep reinforcement learning. A new set of reward functions is proposed to make racing drones learn the racing skills of human experts. Unlike previous methods that required global information about tracks and track boundary constraints, the proposed method requires only limited localized track information within the range of its own onboard sensors. Further, the dynamic response characteristics of racing drones are incorporated into the training environment, so that the proposed method is more in line with the requirements of real drone racing scenarios. In addition, our method has a low computational cost and can meet the requirements of real-time racing. Finally, the effectiveness and superiority of the proposed method are verified by extensive comparison with the state-of-the-art methods in a series of simulations and real-world experiments.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"104 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation EmotionIC：用于对话中情绪识别的情绪惯性和传染驱动依赖建模

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-25 DOI: 10.1007/s11432-023-3908-6

Yingjian Liu, Jiang Li, Xiaoping Wang, Zhigang Zeng

{"title":"EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation","authors":"Yingjian Liu, Jiang Li, Xiaoping Wang, Zhigang Zeng","doi":"10.1007/s11432-023-3908-6","DOIUrl":"https://doi.org/10.1007/s11432-023-3908-6","url":null,"abstract":"Emotion recognition in conversation (ERC) has attracted growing attention in recent years as a result of the advancement and implementation of human-computer interface technologies. In this paper, we propose an emotional inertia and contagion-driven dependency modeling approach (EmotionIC) for ERC tasks. Our EmotionIC consists of three main components, i.e., identity masked multi-head attention (IM-MHA), dialogue-based gated recurrent unit (DiaGRU), and skip-chain conditional random field (SkipCRF). Compared to previous ERC models, EmotionIC can model a conversation more thoroughly at both the feature-extraction and classification levels. The proposed model attempts to integrate the advantages of attention- and recurrence-based methods at the feature-extraction level. Specifically, IMMHA is applied to capture identity-based global contextual dependencies, while DiaGRU is utilized to extract speaker- and temporal-aware local contextual information. At the classification level, SkipCRF can explicitly mine complex emotional flows from higher-order neighboring utterances in the conversation. Experimental results show that our method can significantly outperform the state-of-the-art models on four benchmark datasets. The ablation studies confirm that our modules can effectively model emotional inertia and contagion.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"71 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lead-free metal halide scintillator materials for imaging applications 用于成像应用的无铅金属卤化物闪烁体材料

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-25 DOI: 10.1007/s11432-024-4057-0

Junzhe Lin, Dan Guo, Tianrui Zhai

引用次数: 0

Learning-based counterfactual explanations for recommendation 基于学习的推荐反事实解释

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-25 DOI: 10.1007/s11432-023-3974-2

Jingxuan Wen, Huafeng Liu, Liping Jing, Jian Yu

{"title":"Learning-based counterfactual explanations for recommendation","authors":"Jingxuan Wen, Huafeng Liu, Liping Jing, Jian Yu","doi":"10.1007/s11432-023-3974-2","DOIUrl":"https://doi.org/10.1007/s11432-023-3974-2","url":null,"abstract":"Counterfactual explanations provide explanations by exploring the changes in effect caused by changes in cause. They have attracted significant attention in recommender system research to explore the impact of changes in certain properties on the recommendation mechanism. Among several counterfactual recommendation methods, item-based counterfactual explanation methods have attracted considerable attention because of their flexibility. The core idea of item-based counterfactual explanation methods is to find a minimal subset of interacted items (i.e., short length) such that the recommended item would topple out of the top-K recommendation list once these items have been removed from user interactions (i.e., good quality). Usually, explanations are generated by ranking the precomputed importance of items, which fails to characterize the true importance of interacted items due to separation from the explanation generation. Additionally, the final explanations are generated according to a certain search strategy given the precomputed importance. This indicates that the quality and length of counterfactual explanations are deterministic; therefore, they cannot be balanced once the search strategy is fixed. To overcome these obstacles, this study proposes learning-based counterfactual explanations for recommendation (LCER) to provide counterfactual explanations based on personalized recommendations by jointly modeling the factual and counterfactual preference. To achieve consistency between the computation of importance and generation of counterfactual explanations, the proposed LCER endows an optimizable importance for each interacted item, which is supervised by the goal of counterfactual explanations to guarantee its credibility. Because of the model’s flexibility, the trade-off between quality and length can be customized by setting different proportions. The experimental results on four real-world datasets demonstrate the effectiveness of the proposed LCER over several state-of-the-art baselines, both quantitatively and qualitatively.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"84 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust textile-based spoof plasmonic frequency scanning antenna for on-body IoT applications 基于纺织品的鲁棒性欺骗等离子频率扫描天线，适用于人体物联网应用

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-25 DOI: 10.1007/s11432-024-4049-5

Zhao-Min Chen, Jun-Lin Zhan, Hao Chen, Ya Li, Hongjun He, Wu Yang, Zhen-Guo Liu, Wei-Bing Lu

{"title":"Robust textile-based spoof plasmonic frequency scanning antenna for on-body IoT applications","authors":"Zhao-Min Chen, Jun-Lin Zhan, Hao Chen, Ya Li, Hongjun He, Wu Yang, Zhen-Guo Liu, Wei-Bing Lu","doi":"10.1007/s11432-024-4049-5","DOIUrl":"https://doi.org/10.1007/s11432-024-4049-5","url":null,"abstract":"Securing a comfortable, wearable compact frequency beam scanning antenna (FBSA) with robustness to deformation, low specific absorption rate (SAR), and good coverage of the surrounding environment for Internet of Things (IoT) applications, such as on-body navigation and wireless communication is an emerging challenge. In this work, a robust textile-based spoof plasmonic frequency scanning antenna utilizing higher-order modes is presented, which is also robust to deformation caused by the activities of the human body. The innovative design of the element ensures the high-efficiency transmission of the fundamental mode of spoof surface plasmon polaritons (SSPP) structure, providing the potential of being a multifunctional composite device in the compact on-body network. Besides, an artificial magnetic conductor (AMC) is designed underneath the SSPP structure, obtaining a low SAR value (0.113 W/kg), which ensures the safety of users. As a practical realization of this concept, a textile-based spoof plasmonic antenna was fabricated in the microwave regime and the performed experimental results show the proposed antenna has a single-beam radiation characteristic with a 70° beam scanning angle range when the frequency is 4.7–6.0 GHz with a high average realized gain of 13.15 dBi. And it still maintains a steady performance when faced with structure deformation, which proves its robustness. Wireless communication quality experiments are performed to demonstrate the proposed antenna can measure the angles of targets and realize wireless signal transmission to specific targets as the frequency varies, it may find great potential in the field of on-body IoT applications.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"20 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141786254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UAV swarm air combat maneuver decision-making method based on multi-agent reinforcement learning and transferring 基于多代理强化学习和转移的无人机群空战机动决策方法

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-24 DOI: 10.1007/s11432-023-4088-2

Zhiqiang Zheng, Chen Wei, Haibin Duan

{"title":"UAV swarm air combat maneuver decision-making method based on multi-agent reinforcement learning and transferring","authors":"Zhiqiang Zheng, Chen Wei, Haibin Duan","doi":"10.1007/s11432-023-4088-2","DOIUrl":"https://doi.org/10.1007/s11432-023-4088-2","url":null,"abstract":"During short-range air combat involving unmanned aircraft vehicle (UAV) swarms, UAVs must make accurate maneuver decisions based on information from both enemy and friendly UAVs. This dual requirement of competition and cooperation presents a significant challenge in the field of unmanned air combat. In this paper, a method based on multi-agent reinforcement learning (MARL) is proposed to address this issue. An actor network containing three subnetworks that can handle different types of situational information is designed. Hence, the results from simpler one-on-one scenarios are leveraged to enhance the complex swarm air combat training process. Separate state spaces for local and global information are designed for the actor and critic networks. A detailed reward function is proposed to encourage participation. To prevent lazy participants in air combat, a reward assignment operation is applied to distribute these dense rewards. Simulation testing and ablation experiments demonstrate that both the transfer operation and reward assignment operation can effectively deal with the swarm air combat scenario, and reflect the effectiveness of the proposed method.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"3 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal rejection of bounded perturbations in linear leader-following consensus protocol: invariant ellipsoid method 线性 "领导者-跟随者 "共识协议中对有界扰动的最优拒绝：不变椭圆体法

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-24 DOI: 10.1007/s11432-023-4042-1

Siyuan Wang, Andrey Polyakov, Min Li, Gang Zheng, Driss Boutat

引用次数: 0

Wavelet-domain feature decoupling for weakly supervised multi-object tracking 用于弱监督多目标跟踪的小波域特征解耦

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-24 DOI: 10.1007/s11432-022-4097-y

Yu-Lei Li, Yan Yan, Yang Lu, Hanzi Wang

引用次数: 0