Communications engineering最新文献_第3页

Real-time monitoring of water states in large-diameter aqueducts - learning from distributed acoustic sensing signals. 大直径渡槽水态实时监测——基于分布式声传感信号的学习。

Communications engineering Pub Date : 2025-08-16 DOI: 10.1038/s44172-025-00483-6

Dao-Yuan Tan, Zhen-Yu Tang, Zhen-Rui Yan, Jing Wang, Wei Zhang, Jing-Wu Huang, Peng Wang, Zhiguo Yuan, Huan-Feng Duan, Bin Shi, Hong-Hu Zhu

{"title":"Real-time monitoring of water states in large-diameter aqueducts - learning from distributed acoustic sensing signals.","authors":"Dao-Yuan Tan, Zhen-Yu Tang, Zhen-Rui Yan, Jing Wang, Wei Zhang, Jing-Wu Huang, Peng Wang, Zhiguo Yuan, Huan-Feng Duan, Bin Shi, Hong-Hu Zhu","doi":"10.1038/s44172-025-00483-6","DOIUrl":"10.1038/s44172-025-00483-6","url":null,"abstract":"Large-diameter gravity aqueducts are essential for water supply systems but face performance and safety risks from complex flow conditions. Effective flow-state monitoring is critical for hydraulic performance and infrastructure safety. However, conventional monitoring techniques like closed-circuit television (CCTV) inspection and ultrasonic sensing have limited real-time accuracy in distinguishing flow states. Here we show a real-time, distributed flow monitoring framework based on distributed acoustic sensing (DAS). A hierarchical clustering model, called DAS-Hydro HierarchyNet, was developed to analyze low-frequency acoustic signals and classify water flow states using a multi-level approach. The framework enables continuous flow monitoring along large aqueducts, overcoming point-based measurement limits. A 6 km case study in the Pearl River Delta demonstrates this approach's feasibility and effectiveness. The results confirm that DAS combined with advanced AI classification enables accurate flow-state monitoring, water location detection, and flow velocity estimation, offering a scalable, intelligent solution for large-scale transmission monitoring.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"156"},"PeriodicalIF":0.0,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Freeze-thaw recycling for fiber-resin separation in retired wind blades. 用冻融回收法分离废弃风机叶片中的纤维树脂。

Communications engineering Pub Date : 2025-08-14 DOI: 10.1038/s44172-025-00490-7

Khalil Ahmed, Xu Jiang, Ghazala Ashraf, Xuhong Qiang

{"title":"Freeze-thaw recycling for fiber-resin separation in retired wind blades.","authors":"Khalil Ahmed, Xu Jiang, Ghazala Ashraf, Xuhong Qiang","doi":"10.1038/s44172-025-00490-7","DOIUrl":"10.1038/s44172-025-00490-7","url":null,"abstract":"The disposal of decommissioned wind turbine blades represents a growing economic loss and environmental concern due to the non-recovery of durable glass fiber-reinforced epoxy composites. Existing thermal and chemical recycling methods often require high temperatures and toxic chemicals, causing material degradation. Here, we present a novel freeze-thaw-based method for fiber-resin separation as an alternative. The process uses only water at human-safe temperatures, leveraging ice-induced expansion to disrupt the glass fiber-epoxy interface. Microscopic imaging and weight analysis revealed visible interface separation, with three-dimensional imaging showing a ~ 65% increase in crack volume and a ~ 32% rise in connected porosity after freeze-thaw treatment. Glass fibers retained up to 96% of their original mechanical properties, demonstrating minimal structural damage. Microplastics were easily removed through filtration, and the effluent water remained near-neutral with low organic carbon levels, meeting global water safety standards. These findings highlight freeze-thaw cycling as a sustainable route for efficient fiber-resin separation with minimal environmental impact.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"153"},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D vector field-guided toolpathing for 3D bioprinting. 3D矢量场导向的3D生物打印工具路径。

Communications engineering Pub Date : 2025-08-14 DOI: 10.1038/s44172-025-00489-0

Meghan Rochelle Griffin, Spencer E Bertram, Noah P Robison, Angela Panoskaltsis-Mortari, Ravi Janardan, Michael C McAlpine

{"title":"3D vector field-guided toolpathing for 3D bioprinting.","authors":"Meghan Rochelle Griffin, Spencer E Bertram, Noah P Robison, Angela Panoskaltsis-Mortari, Ravi Janardan, Michael C McAlpine","doi":"10.1038/s44172-025-00489-0","DOIUrl":"10.1038/s44172-025-00489-0","url":null,"abstract":"Complex fibrous microarchitectures are common in biology, with fiber orientation playing a key role in the structure-function relationships that govern tissue behavior. Directional imaging modalities, such as diffusion tensor magnetic resonance imaging (DTMRI), can be used to derive a 3D vector map of fiber orientation. Incorporating this alignment information into engineered tissues remains a challenging and evolving area of research, with direct incorporation of directional imaging data into engineered tissue structures yet to be achieved. Here we describe an algorithmic framework, entitled Nonplanar, Architecture-Aligned Toolpathing for In Vitro 3D bioprinting (NAATIV3), which processes DTMRI data to map tissue fibers, reduce them to a representative subset, remove conflicting fibers, select a printable sequence, and output a G-code file. DTMRI data from a human left ventricle was used to 3D print fibered models with high accuracy. It is anticipated that NAATIV3 is generalizable beyond the cardiac application demonstrated here. Directional imaging data from a variety of organs, disease states, and developmental timepoints may be processible by NAATIV3, enabling the creation of models for understanding development, physiology, and pathophysiology. Furthermore, the NAATIV3 framework could be extended to bioengineered food manufacturing, plant engineering, and beyond.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"154"},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Seismic assessment of unreinforced masonry façades from images using macroelement-based modeling. 利用基于宏单元的建模方法从图像中对未加筋砌体立面进行地震评估。

Communications engineering Pub Date : 2025-08-14 DOI: 10.1038/s44172-025-00487-2

Mayar Ariss, Bryan German Pantoja-Rosero, Fabio Duarte, Mikita Klimenka, Carlo Ratti

{"title":"Seismic assessment of unreinforced masonry façades from images using macroelement-based modeling.","authors":"Mayar Ariss, Bryan German Pantoja-Rosero, Fabio Duarte, Mikita Klimenka, Carlo Ratti","doi":"10.1038/s44172-025-00487-2","DOIUrl":"10.1038/s44172-025-00487-2","url":null,"abstract":"Despite the variability of urban infrastructure, unreinforced masonry buildings remain globally prevalent. Constructed from brick, hollow concrete blocks, stone, or other masonry materials, these structures account for a significant proportion of fatalities during seismic events-particularly in regions with limited access to early warning systems. Due to the complex behavior of masonry, accurately assessing structural vulnerabilities is highly dependent on the chosen modeling strategy. Yet, scalable, cost-effective approaches based on simple RGB imagery can still offer valuable insights. In this context, building on a previously developed digitalization methodology, this study proposes an automated, image-based framework for the rapid, non-invasive seismic evaluation of façades, addressing important research gaps in disaster resilience. The framework links image data with structural simulation by extracting visual and geometric features and translating them into consistent macroelement models using computer vision techniques, enabling nonlinear analyses under in-plane cyclic loading. The adopted numerical strategy has been extensively validated in prior work, with predictions closely aligning with experimental results. While the outcomes are predictive rather than diagnostic, future integration with publicly accessible urban imagery may enable the development of real-time, cross-border seismic risk maps.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"155"},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354861/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neuromorphic computing for robotic vision: algorithms to hardware advances. 机器人视觉的神经形态计算：算法到硬件的进步。

Communications engineering Pub Date : 2025-08-13 DOI: 10.1038/s44172-025-00492-5

Sayeed Shafayet Chowdhury, Deepika Sharma, Adarsh Kosta, Kaushik Roy

引用次数: 0

Efficient estimating and clustering lithium-ion batteries with a deep-learning approach. 基于深度学习方法的锂离子电池高效估计和聚类。

Communications engineering Pub Date : 2025-08-12 DOI: 10.1038/s44172-025-00488-1

Jie Wu, Zhongxian Sun, Dingquan Li, Weilin He, Dongchen Yang, Zhenguo Wu, Xin Geng, Hui Yang, Hailong Wang, Linyu Hu, Haiyan Tu, Xin He

{"title":"Efficient estimating and clustering lithium-ion batteries with a deep-learning approach.","authors":"Jie Wu, Zhongxian Sun, Dingquan Li, Weilin He, Dongchen Yang, Zhenguo Wu, Xin Geng, Hui Yang, Hailong Wang, Linyu Hu, Haiyan Tu, Xin He","doi":"10.1038/s44172-025-00488-1","DOIUrl":"10.1038/s44172-025-00488-1","url":null,"abstract":"Growing energy storage demand has solidified the dominance of lithium-ion batteries (LIBs) in modern societies but intensifies recycling pressures. Precise state-of-health (SOH) assessment is crucial to grouping retired batteries from an unknown state for secondary utilization. However, batteries in the pack exhibit distinct capacity fading behaviors due to their service scenarios and working conditions. We develop a deep-learning framework for rapid, transferable SOH estimation and battery classification. This framework integrates deep neural networks with interconnected electrochemical, mechanical, and thermal features. Our model delivers optimal accuracy with a mean absolute error (MAE) of 0.822% and a root mean square error (RMSE) of 1.048% using combined features. It demonstrates robust performance across various conditions and enables SOH prediction with data from merely one previous cycle. Moreover, the well-trained model could adapt to other electrode systems with a minimal number of additional samples. This work highlights critical features for SOH estimation and enables efficient battery classification toward sustainable recycling.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"151"},"PeriodicalIF":0.0,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast automatic multiscale electron tomography for sensitive materials under environmental conditions. 环境条件下敏感材料的快速自动多尺度电子断层扫描。

Communications engineering Pub Date : 2025-08-11 DOI: 10.1038/s44172-025-00482-7

Louis-Marie Lebas, Karine Masenelli-Varlot, Victor Trillaud, Cédric Messaoudi, Mimoun Aouine, Laurence Burel, Valentine Noblesse, Clémentine Fellah, Erwan Allain, Christophe Goudin, José Ferreira, Matthieu Amor, Lucian Roiban

{"title":"Fast automatic multiscale electron tomography for sensitive materials under environmental conditions.","authors":"Louis-Marie Lebas, Karine Masenelli-Varlot, Victor Trillaud, Cédric Messaoudi, Mimoun Aouine, Laurence Burel, Valentine Noblesse, Clémentine Fellah, Erwan Allain, Christophe Goudin, José Ferreira, Matthieu Amor, Lucian Roiban","doi":"10.1038/s44172-025-00482-7","DOIUrl":"10.1038/s44172-025-00482-7","url":null,"abstract":"The demand for characterisation of beam-sensitive samples at the nanoscale in environmental conditions is increasing for applications in materials science and biology. Here we communicate a protocol with custom software, enabling precise control over the electron microscope, and a custom sample holder, facilitating automated acquisition of fast 3D data from a single object under environmental conditions. This method enables imaging with a controlled electron dose and multi-modal electron signals. The method can be used in environmental scanning or transmission electron microscopes for easy sample preparation and to benefit from high spatial resolution, respectively. To demonstrate its effectiveness, we investigate the porosity of Al(OH)3 hydrogels, and the penetration ability and distribution of gold nanoparticles. Unfixed, hydrated magnetotactic bacteria producing intracellular iron oxide nanoparticles were also characterized in 3D in their native state. This methodological and technical development serves as a milestone in the study of various samples at any humidity level, offering easier sample preparation compared to cryo-TEM techniques, while maintaining a similar or even lower dose level.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"149"},"PeriodicalIF":0.0,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12340152/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144823324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning. 基于服务器旋转联合机器学习的协作和隐私保护跨厂商联合诊断成像。

Communications engineering Pub Date : 2025-08-09 DOI: 10.1038/s44172-025-00485-4

Hao Wang, Xiaoyu Zhang, Xuebin Ren, Zheng Zhang, Shusen Yang, Chunfeng Lian, Jianhua Ma, Dong Zeng

{"title":"Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning.","authors":"Hao Wang, Xiaoyu Zhang, Xuebin Ren, Zheng Zhang, Shusen Yang, Chunfeng Lian, Jianhua Ma, Dong Zeng","doi":"10.1038/s44172-025-00485-4","DOIUrl":"10.1038/s44172-025-00485-4","url":null,"abstract":"Federated Learning (FL) is a distributed framework that enables collaborative training of a server model across medical data vendors while preserving data privacy. However, conventional FL faces two key challenges: substantial data heterogeneity among vendors and limited flexibility from a fixed server, leading to suboptimal performance in diagnostic-imaging tasks. To address these, we propose a server-rotating federated learning method (SRFLM). Unlike traditional FL, SRFLM designates one vendor as a provisional server for federated fine-tuning, with others acting as clients. It uses a rotational server-communication mechanism and a dynamic server-election strategy, allowing each vendor to sequentially assume the server role over time. Additionally, the communication protocol of SRFLM provides strong privacy guarantees using differential privacy. We extensively evaluate SRFLM across multiple cross-vendor diagnostic imaging tasks. We envision SRFLM as paving the way to facilitate collaborative model training across medical data vendors, thereby achieving the goal of cross-vendor united diagnostic imaging.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"148"},"PeriodicalIF":0.0,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335533/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144812744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent excitation adaptability for full-spectrum real-time vibration isolation. 全谱实时隔振智能励磁自适应。

Communications engineering Pub Date : 2025-08-08 DOI: 10.1038/s44172-025-00486-3

Shuai Chen, Yilong Wang, Qianjing Wu, Hesheng Han, Dengqing Cao, Biao Wang

{"title":"Intelligent excitation adaptability for full-spectrum real-time vibration isolation.","authors":"Shuai Chen, Yilong Wang, Qianjing Wu, Hesheng Han, Dengqing Cao, Biao Wang","doi":"10.1038/s44172-025-00486-3","DOIUrl":"10.1038/s44172-025-00486-3","url":null,"abstract":"Vibration isolation systems frequently face challenges in varying environments due to their inherent resonance effects and responsive delays. Here, we report an intelligent excitation-adaptative vibration isolation (IEA-VI) architecture that mimics the biological adaptive mechanism of human muscle, enabling real-time stiffness adjustment to mitigate variable environmental impacts through sensing, processing, and controlling modules. The IEA-VI system operates in high-static-low-dynamic-stiffness and high-dynamic-stiffness modes, capable of intelligent on-demand mode switching. We develop a real-time frequency perception algorithm to quickly perceive excitation frequencies, enabling the system to perform rapid mode-switching and thus achieve real-time full-spectrum vibration control. We design and fabricate a proof-of-concept IEA-VI system and theoretically and experimentally demonstrate that the system's frequency perception is approximately 10 times faster than that achieved with the commonly used Fast Fourier Transform at low frequencies. Meanwhile, the system effectively mitigates resonance and delivers high-performance vibration isolation through intelligent real-time mode switching.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"147"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12332135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144801085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From Fourier topology representation to optimal robot: evolution of an ultrahigh performance XYθ_z nanopositioner. 从傅里叶拓扑表示到最优机器人：超高性能x θz纳米对偶器的进化。

Communications engineering Pub Date : 2025-08-07 DOI: 10.1038/s44172-025-00484-5

Zheng Lyu, Zilin Yang, Aiwu Zhou, Kang Tai, Guo Zhan Lum

{"title":"From Fourier topology representation to optimal robot: evolution of an ultrahigh performance XYθz nanopositioner.","authors":"Zheng Lyu, Zilin Yang, Aiwu Zhou, Kang Tai, Guo Zhan Lum","doi":"10.1038/s44172-025-00484-5","DOIUrl":"10.1038/s44172-025-00484-5","url":null,"abstract":"XYθz nanopositioners are robots that can deliver precise translations along the X- and Y-axes and rotations about the Z-axis via elastic deformation of their compliant bodies. Although the performance of these robots is critical across a vast range of microscopy technologies, biomedical research and industrial applications, existing XYθz nanopositioners are unable to optimize their workspace, disturbance rejection capabilities, speed and positioning resolutions. This is because their stiffness ratios are limited to 0.5-248 and their mechanical bandwidths are restricted to 70 Hz when they can deflect more than 2 mm. Here we use a unique combination of kinematic analyses and evolutionary algorithms to determine our robot's optimal geometry in which its structural topology is represented by Fourier basis functions. Our synthesis method has evolved an optimal XYθz nanopositioner that has stiffness ratios, mechanical bandwidth, workspace and positioning resolutions of 741-869, 123 Hz, 5.8 mm <math><mo>×</mo></math> 5.8 mm <math><mo>×</mo></math> 6° and 13 nm <math><mo>×</mo></math> 14 nm <math><mo>×</mo></math> 1.3 μrad, respectively. Our XYθz nanopositioner's workspace to positioning resolutions ratio is 4.9-2.31 <math><mo>×</mo></math> 1011 folds higher than existing similar robots, while its disturbance rejection capability is 1142-2.10 <math><mo>×</mo></math> 1017 folds greater than those with a large workspace.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"146"},"PeriodicalIF":0.0,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12332153/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144801084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0