Communications engineering最新文献_第9页

Sustainable solutions for water scarcity: a review of electrostatic fog harvesting technology. 水资源短缺的可持续解决方案：静电雾收集技术综述。

Communications engineering Pub Date : 2025-02-26 DOI: 10.1038/s44172-025-00381-x

Dingchen Li, Chuan Li, Menghan Xiao, Ming Zhang, Jiawei Li, Zhiwen Yang, Qixiong Fu, Kexun Yu, Yong Yang, Yuan Pan, Yaping Du, Xiangen Zhao

引用次数: 0

The logarithmic memristor-based Bayesian machine. 基于对数记忆电阻的贝叶斯机。

Communications engineering Pub Date : 2025-02-26 DOI: 10.1038/s44172-025-00360-2

Clément Turck, Kamel-Eddine Harabi, Adrien Pontlevy, Théo Ballet, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz

{"title":"The logarithmic memristor-based Bayesian machine.","authors":"Clément Turck, Kamel-Eddine Harabi, Adrien Pontlevy, Théo Ballet, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz","doi":"10.1038/s44172-025-00360-2","DOIUrl":"10.1038/s44172-025-00360-2","url":null,"abstract":"The demand for explainable and energy-efficient artificial intelligence (AI) systems for edge computing has led to growing interest in electronic systems dedicated to Bayesian inference. Traditional designs of such systems often rely on stochastic computing, which offers high energy efficiency but suffers from latency issues and struggles with low-probability values. Here, we introduce the logarithmic memristor-based Bayesian machine, an innovative design that leverages the unique properties of memristors and logarithmic computing as an alternative to stochastic computing. We present a prototype machine fabricated in a hybrid CMOS/hafnium-oxide memristor process. We validate the versatility and robustness of our system through experimental validation and extensive simulations in two distinct applications: gesture recognition and sleep stage classification. The logarithmic approach simplifies the computational model by converting multiplications into additions and enhances the handling of low-probability events, which are crucial in time-dependent tasks. Our results demonstrate that the logarithmic Bayesian machine achieves superior performance in terms of accuracy and energy efficiency compared to its stochastic counterpart, particularly in scenarios involving complex probabilistic models. This approach enables the development of energy-efficient and reliable AI systems for edge devices.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"35"},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865314/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517574","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

A mechanics-informed machine learning framework for traumatic brain injury prediction in police and forensic investigations. 用于警察和法医调查中创伤性脑损伤预测的机械信息机器学习框架。

Communications engineering Pub Date : 2025-02-26 DOI: 10.1038/s44172-025-00352-2

Yuyang Wei, Jeremy Oldroyd, Phoebe Haste, Jayaratnam Jayamohan, Michael Jones, Nicholas Casey, Jose-Maria Peña, Sonya Baylis, Stan Gilmour, Antoine Jérusalem

{"title":"A mechanics-informed machine learning framework for traumatic brain injury prediction in police and forensic investigations.","authors":"Yuyang Wei, Jeremy Oldroyd, Phoebe Haste, Jayaratnam Jayamohan, Michael Jones, Nicholas Casey, Jose-Maria Peña, Sonya Baylis, Stan Gilmour, Antoine Jérusalem","doi":"10.1038/s44172-025-00352-2","DOIUrl":"10.1038/s44172-025-00352-2","url":null,"abstract":"Police forensic investigations are not immune to our society's ubiquitous search for better predictive ability. In the particular and very topical case of Traumatic Brain Injury (TBI), police forensic investigations aim at evaluating whether a given impact or assault scenario led to the clinically observed TBI. This question is traditionally answered by means of forensic biomechanics and neurosurgical expertise which cannot provide a fully objective probabilistic measure. To this end, we propose here a numerical framework-based solution coupling biomechanical simulations of a variety of injurious impacts to machine learning training of police reports provided by the UK's Thames Valley Police and the National Crime Agency's National Injury Database. In this approach, the biomechanical predictions of mechanical metrics such as strain and stress distributions are interpreted by the machine learning model by additionally considering assault specific metadata to predict brain injury outcomes. The framework, only taking as input information typically available in police reports, reaches prediction accuracies exceeding 94% for skull fracture, 79% for loss of consciousness and intracranial haemorrhage, and is able to identify the best predictive features for each targeted injury. Overall, the proposed framework offers new avenues for the prediction, directly from police reports, of any TBI related symptom as required by forensic law enforcement investigations.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"29"},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865601/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517566","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

Submersible touchless interactivity in conformable textiles enabled by highly selective overbraided magnetoresistive sensors. 由高选择性编织磁阻传感器实现的可穿戴纺织品的水下非接触式交互。

Communications engineering Pub Date : 2025-02-25 DOI: 10.1038/s44172-025-00373-x

Pasindu Lugoda, Eduardo Sergio Oliveros-Mata, Kalana Marasinghe, Rahul Bhaumik, Niccolò Pretto, Carlos Oliveira, Tilak Dias, Theodore Hughes-Riley, Michael Haller, Niko Münzenrieder, Denys Makarov

{"title":"Submersible touchless interactivity in conformable textiles enabled by highly selective overbraided magnetoresistive sensors.","authors":"Pasindu Lugoda, Eduardo Sergio Oliveros-Mata, Kalana Marasinghe, Rahul Bhaumik, Niccolò Pretto, Carlos Oliveira, Tilak Dias, Theodore Hughes-Riley, Michael Haller, Niko Münzenrieder, Denys Makarov","doi":"10.1038/s44172-025-00373-x","DOIUrl":"10.1038/s44172-025-00373-x","url":null,"abstract":"Miniature electronics positioned within textile braids leverages the persistent flexibility and comfort of textiles constructed from electronics with 1D form factors. Here, we developed touchless interactivity within textiles using 1D overbraided magnetic field sensors. Our integration strategy minimally impacts the performance of flexible giant magnetoresistive sensors, yielding machine-washable sensors that maintain conformability when integrated in traditional fabrics. These overbraided magnetoresistive sensors exhibit a detectivity down to 380 nT and a nearly isotropic magnetoresistance amplitude response, facilitating intuitive touchless interaction. The interactivity is possible even in humid environments, including underwater, opening reliable activation in day-to-day and specialized applications. To showcase capabilities of overbraided magnetoresistive sensors, we demonstrate a functional armband for navigation control in virtual reality environments and a self-monitoring safety helmet strap. This approach bridges the integration gap between on-skin and rigid magnetic interfaces, paving the way for highly reliable, comfortable, interactive textiles across entertainment, safety, and sportswear.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"33"},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11861257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143506483","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

Data-driven available capacity estimation of lithium-ion batteries based on fragmented charge capacity. 基于碎片充电容量的数据驱动锂离子电池可用容量估算。

Communications engineering Pub Date : 2025-02-25 DOI: 10.1038/s44172-025-00372-y

Zhen Zhang, Xin Gu, Yuhao Zhu, Teng Wang, Yichang Gong, Yunlong Shang

{"title":"Data-driven available capacity estimation of lithium-ion batteries based on fragmented charge capacity.","authors":"Zhen Zhang, Xin Gu, Yuhao Zhu, Teng Wang, Yichang Gong, Yunlong Shang","doi":"10.1038/s44172-025-00372-y","DOIUrl":"10.1038/s44172-025-00372-y","url":null,"abstract":"Efficient and accurate available capacity estimation of lithium-ion batteries is crucial for ensuring the safe and effective operation of electric vehicles. However, incomplete charging cycles in practical applications challenge conventional methods. Here we manipulate fragmented charge capacity data to estimate available capacity without complete charging information. Considering correlation, charging time, and initial state of charge, 36 feature combinations are available for estimation. The basic machine learning model is established on 11,500 cyclic samples, and a transfer learning model is fine-tuned and validated on multiple datasets. The validation results indicate that the best root-mean-square error for the basic model is 0.012. Furthermore, the RMSE demonstrates consistent stability across different datasets in the transfer learning model, with fluctuations within 0.5% when considering feature combinations across cycles with spacings of 5, 10, and 20. This work highlights the promise of available capacity estimation using actual, readily accessible fragmented charge capacity data.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"32"},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494941","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

Gradient cement pastes with efficient energy dissipation and electromagnetic wave absorption. 具有高效耗能和电磁波吸收的梯度水泥浆体。

Communications engineering Pub Date : 2025-02-23 DOI: 10.1038/s44172-025-00375-9

Yihao Xiao, Yajing Miao, Xin Zhang, Yahui Xue

引用次数: 0

Near-field terahertz time-domain spectroscopy for in-line electrical metrology of semiconductor integration processes for memory. 存储器半导体集成过程在线电计量的近场太赫兹时域光谱。

Communications engineering Pub Date : 2025-02-22 DOI: 10.1038/s44172-025-00356-y

Sunhong Jun, Inkeun Baek, Suhwan Park, Eun Hyuk Choi, Jongmin Yoon, Iksun Jeon, Yoonkyung Jang, Martin Priwisch, Wontae Kim, Suncheul Kim, Taejoong Kim, Taeyong Jo, Myungjun Lee, Sungyoon Ryu, Namil Koo, Yusin Yang

{"title":"Near-field terahertz time-domain spectroscopy for in-line electrical metrology of semiconductor integration processes for memory.","authors":"Sunhong Jun, Inkeun Baek, Suhwan Park, Eun Hyuk Choi, Jongmin Yoon, Iksun Jeon, Yoonkyung Jang, Martin Priwisch, Wontae Kim, Suncheul Kim, Taejoong Kim, Taeyong Jo, Myungjun Lee, Sungyoon Ryu, Namil Koo, Yusin Yang","doi":"10.1038/s44172-025-00356-y","DOIUrl":"10.1038/s44172-025-00356-y","url":null,"abstract":"Monitoring electrical properties in semiconductor integration processes is crucial in identifying electrical defects that determine the reliability and performance of metal oxide semiconductor field-effect transistors. A non-destructive in-line metrology technique using terahertz (THz) waves was developed to observe electrical properties between semiconductor integration processes. By combining near-field microprobes with THz time-domain spectroscopy (TDS), sub-10 μm resolution was achieved, enabling the measurement of on-chip micro-patterns. The system was integrated into a memory production line and demonstrated consistent results with conventional destructive methods. The TDS signal correction method effectively suppressed signal variations in unwanted layers. The results of non-invasive THz TDS measurements of tungsten films deposited by three different processes were consistent with those obtained by four- point probe method. We also non-destructively detected differences in THz transmission at the gate-oxide/Si-substrate interface due to the infiltration of nitrogen species after the thermal nitridation process at nitridation temperatures ranging from 670 to 730 °C, which were consistent with the results of secondary ion mass spectrometry. Our in-line near-field THz TDS will predict electrical performance immediately after the process, allowing for rapid correction of production conditions.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"30"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846951/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477277","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

Array of micro-epidermal actuators for noninvasive pediatric flexible conductive hearing aids. 用于无创儿童柔性导电助听器的微表皮致动器阵列。

Communications engineering Pub Date : 2025-02-20 DOI: 10.1038/s44172-025-00369-7

Enosh Lim, Miriam Redleaf, Mohammad J Moghimi

引用次数: 0

Human-structure and human-structure-human interaction in electro-quasistatic regime. 准静电状态下的人-结构和人-结构-人相互作用。

Communications engineering Pub Date : 2025-02-18 DOI: 10.1038/s44172-024-00333-x

Samyadip Sarkar, David Yang, Mayukh Nath, Arunashish Datta, Shovan Maity, Shreyas Sen

{"title":"Human-structure and human-structure-human interaction in electro-quasistatic regime.","authors":"Samyadip Sarkar, David Yang, Mayukh Nath, Arunashish Datta, Shovan Maity, Shreyas Sen","doi":"10.1038/s44172-024-00333-x","DOIUrl":"10.1038/s44172-024-00333-x","url":null,"abstract":"Augmented living equipped with electronic devices requires widespread connectivity and a low-loss communication medium for humans to interact with ambient technologies. However, traditional radiative radio frequency-based communications require wireless pairing to ensure specificity during information exchange, and with their broadcasting nature, these incur energy absorption from the surroundings. Recent advancements in electroquasistatic body-coupled communication have shown great promise by utilizing conductive objects like the human body as a communication medium. Here we propose a fundamental set of modalities of non-radiative interaction by guiding electroquasistatic signals through conductive structures between humans and surrounding electronic devices. Our approach offers pairing-free communication specificity and lower path loss during touch. Here, we propose two modalities: Human-Structure Interaction and Human-Structure Human Interaction with wearable devices. We validate our theoretical understanding with numerical electromagnetic simulations and experiments to show the feasibility of the proposed approach. A demonstration of the real-time transfer of an audio signal employing an human body communications-based Human-Structure Interaction link is presented to highlight the practical impact of this work. The proposed techniques can potentially influence Human-Machine Interaction research, including the development of assistive technology for augmented living and personalized healthcare.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"26"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11836317/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143451149","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

Energy efficiency and carbon savings via a body grid. 通过车身网格提高能源效率和减少碳排放。

Communications engineering Pub Date : 2025-02-18 DOI: 10.1038/s44172-025-00366-w

Jiahe Xu, Xuan Zhang, Daniel M Kammen, Jiahao Wang, Daimeng Li, Chongbo Sun, Qinglai Guo, Le Xie, Ming Cheng, Shengyu Tao, Hongbin Sun

{"title":"Energy efficiency and carbon savings via a body grid.","authors":"Jiahe Xu, Xuan Zhang, Daniel M Kammen, Jiahao Wang, Daimeng Li, Chongbo Sun, Qinglai Guo, Le Xie, Ming Cheng, Shengyu Tao, Hongbin Sun","doi":"10.1038/s44172-025-00366-w","DOIUrl":"10.1038/s44172-025-00366-w","url":null,"abstract":"The climate crisis necessitates decarbonization solutions that transform energy systems across all scales. While attention today focuses on utility-scale power systems, mini-or metro-scale grids, and at end-use device efficiency, the individual user scale remains underexplored. Just as with energy efficiency innovations tailored to micro-environments, body-scale energy savings offer new opportunities alongside technological and behavioral challenges. Here we propose a technique and a suite of potential innovations focused on the \"body grid\" in which devices, circuits, information network, human body and the environment interact within a universal framework to achieve energy savings, new functionality, and improved comfort. We present and test a prototype body grid supporting inter-device synergy and cooperation with external energy systems indoors and outdoors. This system yields substantial energy and economic savings, enhances personal control and comfort, and enables potential energy market participation. Simulation results demonstrate global energy savings of up to 50% for space cooling and heating.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"27"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11836393/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143451148","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