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基于Bi-LSTM特征融合和FT-FSL的非侵入式负荷辨识
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作者 张竹露 李华强 +1 位作者 刘洋 许立雄 《广西师范大学学报(自然科学版)》 北大核心 2026年第1期33-44,共12页
通过非侵入式负荷监测(non-intrusive load monitoring,NILM)对负荷能耗进行实时监测和数据分析,能够实现能源合理配置和精细化管理。为了提高负荷标注数据不足情况下NILM的负荷识别效果,本文提出一种基于Bi-LSTM特征融合和微调小样本学... 通过非侵入式负荷监测(non-intrusive load monitoring,NILM)对负荷能耗进行实时监测和数据分析,能够实现能源合理配置和精细化管理。为了提高负荷标注数据不足情况下NILM的负荷识别效果,本文提出一种基于Bi-LSTM特征融合和微调小样本学习(fine-tuned few-shot learning,FT-FSL)的新方法应用于NILM。首先,通过Bi-LSTM将加权像素电压-电流(voltage-current,V-I)图像特征和多维时频序列特征进行融合;然后,通过FT-FSL使负荷分类模型能够基于少量标注数据进行训练;最后,在PLAID数据集上与4种主流FSL方法(包括匹配网络、原型网络、关系网络和MAML)进行对比实验。结果表明,本文方法的准确率达到92.46%,与对比模型相比,分别提高12.21个百分点、4.18个百分点、5.90个百分点和9.04个百分点,验证了本文方法能够有效识别标注数据不足的负荷类型。 展开更多
关键词 非侵入式负荷监测 负荷辨识 小样本学习 bi-lstm 微调
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Bi-LSTM模型在遥感海浪数据质量控制中的应用
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作者 满世豪 谢涛 +2 位作者 李建 王超 张雪红 《应用海洋学学报》 北大核心 2026年第1期65-71,共7页
在遥感海浪数据质量控制研究中,由于数据的复杂与不规则性,传统质量控制方法对海浪数据单点异常值的检测具有一定局限性。深度学习具有强大的特征学习能力,在解决非线性复杂问题方面具有一定优势,将其应用在数据质量控制领域可以提高异... 在遥感海浪数据质量控制研究中,由于数据的复杂与不规则性,传统质量控制方法对海浪数据单点异常值的检测具有一定局限性。深度学习具有强大的特征学习能力,在解决非线性复杂问题方面具有一定优势,将其应用在数据质量控制领域可以提高异常值检测能力。本研究采用遥感海浪有效波高数据,构建双向长短期记忆网络(bi-directional long short term memory,Bi-LSTM)模型对有效波高进行预测,结合阈值方法进行异常检测,与3σ准则法、孤立森林模型法、 LSTM模型法以及VAE-LSTM模型法进行异常检测精度比较,探究基于Bi-LSTM的质量控制模型在遥感海浪数据异常值检测方面的能力。试验结果表明,Bi-LSTM质量控制模型具有良好的异常值检测效果,其精准率、召回率、 F1分数和运行时间分别为91%、 93%、 92和3.35 s,综合评价效果最佳,可有效对遥感海浪数据进行质量控制。 展开更多
关键词 遥感海浪数据 质量控制 深度学习 bi-lstm模型 异常检测
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基于Bi-LSTM-AE和摩阻扭矩-水力模型的两级卡钻预警方法
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作者 项明 张向华 +3 位作者 林志强 匡金 黄根炉 孙伟峰 《物联网技术》 2026年第2期72-77,82,共7页
在石油钻井作业中,卡钻样本数量有限且多样性不足,导致智能模型训练受限。对此,文中提出一种基于双向长短期记忆(Bi-LSTM)网络与自编码器(AE)的集成模型和结合摩阻扭矩-水力模型的两级卡钻预警方法。该方法无需依赖卡钻样本训练,通过物... 在石油钻井作业中,卡钻样本数量有限且多样性不足,导致智能模型训练受限。对此,文中提出一种基于双向长短期记忆(Bi-LSTM)网络与自编码器(AE)的集成模型和结合摩阻扭矩-水力模型的两级卡钻预警方法。该方法无需依赖卡钻样本训练,通过物联网技术采集68 826组正常钻井数据训练Bi-LSTM-AE模型,并合理设定重构误差阈值来识别钻井异常状态,再根据摩阻扭矩-水力模型计算异常状态下的卡钻预警指标,从而实现卡钻预警。实验结果表明:所提方法的异常识别漏检率仅为7.62%,显著低于传统自编码器等智能模型;卡钻预警虚警率仅为4.86%,较单一Bi-LSTM-AE模型大幅降低;同时,该方法的卡钻预警漏检率为11.37%,能够有效预警绝大多数卡钻工况。 展开更多
关键词 两级卡钻预警 物联网技术 异常识别 bi-lstm 自编码器 摩阻扭矩-水力模型
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基于Bi-LSTM的10MW漂浮式风电平台运动预测
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作者 张险峰 尹佳晴 +3 位作者 马璐 秦明 雷肖 杨阳 《太阳能学报》 北大核心 2026年第1期701-708,共8页
基于双向长短期记忆神经网络(Bi-LSTM)建立针对于10MW漂浮式海上风电平台在波浪作用下的平台运动响应预测模型,通过仿真计算得到大量波浪时间序列信息以及运动响应数据,针对这些数据进行参数敏感性分析,训练后优化参数以确定最优的Bi-L... 基于双向长短期记忆神经网络(Bi-LSTM)建立针对于10MW漂浮式海上风电平台在波浪作用下的平台运动响应预测模型,通过仿真计算得到大量波浪时间序列信息以及运动响应数据,针对这些数据进行参数敏感性分析,训练后优化参数以确定最优的Bi-LSTM神经网络结构。结果表明,通过考虑不同波高和谱峰频率的波浪条件,验证了Bi-LSTM神经网络方法的可行性。所建立的Bi-LSTM模型对预测输入数据1/3时长的漂浮式海上风电平台在波浪作用下的运动具有较高的准确率,纵荡、垂荡和纵摇的预报精度高达95%,因此所提方法具有较强的平台运动预测能力。 展开更多
关键词 漂浮式风电平台 深度学习 bi-lstm 运动预测 申请网络 波浪载荷
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Lifespan Estimates of Solutions to the Tricomi Equation with Memory Terms
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作者 YANG Jie YAO Jiangyan 《应用数学》 北大核心 2026年第2期605-623,共19页
The main purpose of this paper is to investigate the singularities of solutions to the single Tricomi equation with derivative term and combined memory term.In addition,the blow-up of the solution to the weakly couple... The main purpose of this paper is to investigate the singularities of solutions to the single Tricomi equation with derivative term and combined memory term.In addition,the blow-up of the solution to the weakly coupled system with memory term is also considered,where one is a power nonlinear term and the other is a derivative nonlinear term.Upper bound lifespan estimates of solution are obtained in the sub-critical by utilizing the test function method and iteration technique.The innovation of this paper focuses on the lifespan estimates of the solutions,which extends the well-known Strauss and Glassey conjectures. 展开更多
关键词 Tricomi equation memory term Semilinear weakly coupled system Test function method Iteration method
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基于多通道Bi-LSTM的教育数据短文本分类
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作者 姜红旭 胡俊鹏 +2 位作者 郭骁 胡涛 沈济南 《佳木斯大学学报(自然科学版)》 2026年第3期18-21,共4页
为了解决教育管理系统中短文本数据难以有效分类的问题,提出了一种融合字、词和句向量的多通道双向长短期记忆网络(Bi-LSTM)模型。该方法在字符级和词级引入腾讯预训练词向量,以捕捉细粒度语义特征;在句子级利用预训练BERT模型生成动态... 为了解决教育管理系统中短文本数据难以有效分类的问题,提出了一种融合字、词和句向量的多通道双向长短期记忆网络(Bi-LSTM)模型。该方法在字符级和词级引入腾讯预训练词向量,以捕捉细粒度语义特征;在句子级利用预训练BERT模型生成动态上下文向量,以获取全局语义信息。三类向量经Bi-LSTM提取后进行拼接融合,再通过全连接层与Softmax分类器实现多类别判别,从而增强了模型对短文本的语义表示能力。实验在两所高校的教育数据集上进行,结果表明该模型优于其他方法,最高分类准确率达到98.6%。研究结果表明,所提出的方法能够显著提升教育数据短文本的自动化分类效果,为教育数据的分级保护和安全管理提供可靠技术支持。 展开更多
关键词 教育数据 短文本分类 bi-lstm 向量融合
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基于孪生Bi-LSTM网络的线状要素相似判别模型研究
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作者 陈涛 周婧娟 郑旭野 《地理空间信息》 2026年第3期84-86,102,共4页
传统线状要素间相似性判别方法存在算法复杂、阈值难以确定等缺点,鉴于此,提出了一种基于孪生双向长短期记忆(Bi-LSTM)网络的线状要素相似判别模型。利用孪生Bi-LSTM网络对输入的线状要素对进行建模,学习线状要素的空间几何特征,再通过... 传统线状要素间相似性判别方法存在算法复杂、阈值难以确定等缺点,鉴于此,提出了一种基于孪生双向长短期记忆(Bi-LSTM)网络的线状要素相似判别模型。利用孪生Bi-LSTM网络对输入的线状要素对进行建模,学习线状要素的空间几何特征,再通过特征向量组合得到相似性判断结果。实验表明,在河流要素数据集上该模型对线状要素相似性判别的F1-score为96.34%,具有良好的效果,为线状要素的几何相似性判别提供了新思路。 展开更多
关键词 孪生网络 bi-lstm 地理知识图谱 几何相似性
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Role of 5-hydroxytryptamine type 3 receptors in aerobic exercise-induced improvement of memory and hippocampal synaptic plasticity
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作者 Xiaoqian He Ziying Lai +6 位作者 Xueyan Wang Jingjing Li Guangbing Duan Junwen Wang Zhao Qin Shuchang Xu Ying Huang 《Neural Regeneration Research》 2026年第8期3641-3649,共9页
Aerobic exercise facilitates synaptic plasticity,thereby improving cognitive functions such as learning and memory.The 5-hydroxytryptamine system has been indicated in these processes.5-Hydroxytryptamine type 3 recept... Aerobic exercise facilitates synaptic plasticity,thereby improving cognitive functions such as learning and memory.The 5-hydroxytryptamine system has been indicated in these processes.5-Hydroxytryptamine type 3 receptors are necessary for exercise-induced hippocampal neurogenesis.Some antipsychotic drugs with 5-hydroxytryptamine type 3 receptor antagonistic properties may impede the amelioration of cognitive impairment and hippocampal plasticity induced by exercise.However,the mechanisms underlying the facilitation of synaptic plasticity by aerobic exercise have not yet been elucidated.In this study,we found that 5-hydroxytryptamine type 3 receptors played an important role in aerobic exercise-mediated improvement of hippocampal-dependent spatial and exploratory memory in mice.While 5-hydroxytryptamine type 3 receptors did not affect baseline neurogenesis in the hippocampal dentate gyrus,5-hydroxytryptamine type 3 receptors were required for aerobic exercise-induced neurogenesis and astrocyte proliferation in this region.In addition,5-hydroxytryptamine type 3 receptors were crucial for maintaining long-term potentiation in the CA1,dentate gyrus,and CA3 regions of the hippocampus.The long-term potentiation changes induced by aerobic exercise in sub-regions of the hippocampus were heterogeneous:5-hydroxytryptamine type 3 receptors were essential for aerobic exercise to enhance long-term potentiation in the CA3,but not the CA1 or dentate gyrus,regions of the hippocampus.Furthermore,aerobic exercise up-regulated 5-hydroxytryptamine type 3 receptor expression and increased brain-derived neurotrophic factor release in the hippocampus in a 5-hydroxytryptamine type 3 receptor-dependent manner.These results suggest that aerobic exercise increases hippocampal dentate gyrus neurogenesis and astrocyte proliferation via the up-regulation of 5-hydroxytryptamine type 3 receptors,leading to more brain-derived neurotrophic factor production and release from these cells,which results in long-term potentiation facilitation in the hippocampal CA3 region and help improve memory.Our findings provide insight into the mechanisms by which physical activity enhances memory and may have implications for improving memory through modulating 5-hydroxytryptamine type 3 receptor. 展开更多
关键词 5-HYDROXYTRYPTAMINE 5-hydroxytryptamine type 3 receptor aerobic exercise brain-derived neurotrophic factor exploratory memory hippocampus long-term potentiation NEUROGENESIS neuroglia proliferation spatial memory
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Lignin-derived High-performance Near-infrared Light-responsive Shape Memory Polyurethanes for Biomedical Applications
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作者 Su-Yang Dai Jia-Yue Li +5 位作者 Ling-Chen Mao Dan-Hua Zhou Yu Zhang Zhi-Hua Gana Zhen-Bo Ning Yun-Feng Lu 《Chinese Journal of Polymer Science》 2026年第4期1090-1101,I0016,共13页
Near-infrared(NIR)light-responsive shape memory polymers(SMPs)show great promise for biomedical applications,but conventional photothermal agents suffer from high cost,complex preparation,or poor biocompatibility,whil... Near-infrared(NIR)light-responsive shape memory polymers(SMPs)show great promise for biomedical applications,but conventional photothermal agents suffer from high cost,complex preparation,or poor biocompatibility,while lignin-based alternatives exhibit insufficient photothermal conversion efficiency.Herein,we developed a novel strategy to enhance photothermal performance of lignin through sequential demethylation modification and Fe^(3+)complexation for constructing NIR light responsive SMPs.Dealkaline lignin(DL)was first demethylated using iodocyclohexane to produce demethylated lignin(DDL)with increased catechol content,which was then incorporated into polycaprolactone-based polyurethane synthesis followed by Fe^(3+)complexation.Results showed that DDL-Fe^(3+)complexes have significantly enhanced photothermal conversion performance,and the resulting PU-DDL+Fe^(3+)polyurethane with 0.5 wt%DDL content demonstrated a temperature increases of 39.8℃under 0.33 W·cm-2808 nm NIR irradiation.This excellent photothermal performance enables the shape-fixed PU-DDL+Fe^(3+)polyurethane to rapidly recover to its initial shape under NIR light irradiation.Additionally,PU-DDL+Fe^(3+)polyurethane exhibits good mechanical properties and biocompatibility,demonstrating significant biomedical application potential. 展开更多
关键词 LIGNIN POLYURETHANE Shape memory polymers NIR light responsive POLYCAPROLACTONE
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融合多模态信息的Bi-LSTM网络的临床患者焦虑障碍检测研究
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作者 鹿艺馨 李东枝 虎婕 《信息记录材料》 2026年第8期171-173,共3页
针对临床患者焦虑障碍自动检测过程中单一模态信息表征不充分、异构特征融合稳定性差等问题,本文围绕融合多模态信息的双向长短期记忆(Bi-LSTM)焦虑障碍识别任务开展研究。该方法分别对问卷文本与访谈语音进行特征提取与时序建模,通过... 针对临床患者焦虑障碍自动检测过程中单一模态信息表征不充分、异构特征融合稳定性差等问题,本文围绕融合多模态信息的双向长短期记忆(Bi-LSTM)焦虑障碍识别任务开展研究。该方法分别对问卷文本与访谈语音进行特征提取与时序建模,通过独立的Bi-LSTM子网络挖掘不同模态内部的上下文依赖关系,并在判别层引入逻辑回归模型实现多模态决策级融合,最终输出具有概率语义的焦虑风险估计结果。实验结果表明:相较于单一文本或单一语音模态模型,本文提出的多模态融合方法在准确率与召回率等关键指标上均具有更优表现,验证了决策级融合策略在提升检测稳定性与风险识别能力方面的有效性。 展开更多
关键词 多模态信息 双向长短期记忆(bi-lstm)网络 焦虑障碍检测 决策级融合
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Uniform Attractors for the Kirchhoff Type Suspension Bridge Equation with Nonlinear Damping and Memory Term
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作者 Ling XU Yanni WANG 《Journal of Mathematical Research with Applications》 2026年第1期71-86,共16页
The goal of this paper is to investigate the long-time dynamics of solutions to a Kirchhoff type suspension bridge equation with nonlinear damping and memory term.For this problem we establish the well-posedness and e... The goal of this paper is to investigate the long-time dynamics of solutions to a Kirchhoff type suspension bridge equation with nonlinear damping and memory term.For this problem we establish the well-posedness and existence of uniform attractor under some suitable assumptions on the nonlinear term g(u),the nonlinear damping f(u_(t))and the external force h(x,t).Specifically,the asymptotic compactness of the semigroup is verified by the energy reconstruction method. 展开更多
关键词 uniform attractor Kirchhoff type suspension bridge equation nonlinear damping memory term
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Restoration of Extrasynaptic/Synaptic GABA_(A)R-α5 Localization Improves Sevoflurane-Induced Early Memory Impairment in Aged Mice
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作者 Mengxue Zhang Xiaokun Wang +5 位作者 Zhun Wang Jinpeng Dong Sixuan Wang Ying Dong Changyu Jiang Yiqing Yin 《Neuroscience Bulletin》 2026年第2期301-318,共18页
GABA_(A) receptors containingα5-subunits(GABA_(A)R-α5)cluster at both extrasynaptic and synaptic locations,interacting with the scaffold proteins radixin and gephyrin,respectively,and the re-localization of GABA_(A... GABA_(A) receptors containingα5-subunits(GABA_(A)R-α5)cluster at both extrasynaptic and synaptic locations,interacting with the scaffold proteins radixin and gephyrin,respectively,and the re-localization of GABA_(A)R-α5 influences GABAergic transmission.Here,we found that when early spatial memory deficits occurred in aged mice at 24 h after sevoflurane anesthesia,there was a re-localization of GABA_(A)R-α5 that enhanced tonic inhibition and reduced the decay kinetics of miniature inhibitory postsynaptic currents in the hippocampal CA1 region.Mechanistically,increased phosphorylation of radixin at threonine 564(Thr564)mediates the re-localization of GABA_(A)R-α5.Acute treatment with the selective extrasynaptic GABA_(A)R-α5 antagonist S44819 restored the GABA_(A)R-α5-mediated inhibitory currents by reversing radixin phosphorylation-dependent GABA_(A)R-α5 re-localization,then improved the sevoflurane-induced spatial memory impairment in aged mice.Our results suggest that the localization of GABA_(A)R-α5 altered by sevoflurane is linked to unbalanced GABAergic transmission,which induces early memory impairment in aged mice.Modulating the GABA_(A)R-α5 localization might be a novel strategy to improve memory after sevoflurane exposure. 展开更多
关键词 Aging SEVOFLURANE memory GABA_(A)R-α5 HIPPOCAMPUS
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Oxide Semiconductor for Advanced Memory Architectures:Atomic Layer Deposition,Key Requirement and Challenges
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作者 Chi‑Hoon Lee Seong‑Hwan Ryu +3 位作者 Taewon Hwang Sang‑Hyun Kim Yoon‑Seo Kim Jin‑Seong Park 《Nano-Micro Letters》 2026年第6期80-124,共45页
Oxide semiconductors(OSs),introduced by the Hosono group in the early 2000s,have evolved from display backplane materials to promising candidates for advanced memory and logic devices.The exceptionally low leakage cur... Oxide semiconductors(OSs),introduced by the Hosono group in the early 2000s,have evolved from display backplane materials to promising candidates for advanced memory and logic devices.The exceptionally low leakage current of OSs and compatibility with three-dimensional(3D)architectures have recently sparked renewed interest in their use in semiconductor applications.This review begins by exploring the unique material properties of OSs,which fundamentally originate from their distinct electronic band structure.Subsequently,we focus on atomic layer deposition(ALD),a core technique for growing excellent OS films,covering both basic and advanced processes compatible with 3D scaling.The basic surface reaction mechanisms—adsorption and reaction—and their roles in film growth are introduced.Furthermore,material design strategies,such as cation selection,crystallinity control,anion doping,and heterostructure engineering,are discussed.We also highlight challenges in memory applications,including contact resistance,hydrogen instability,and lack of p-type materials,and discuss the feasibility of ALD-grown OSs as potential solutions.Lastly,we provide an outlook on the role of ALD-grown OSs in memory technologies.This review bridges material fundamentals and device-level requirements,offering a comprehensive perspective on the potential of ALD-driven OSs for next-generation semiconductor memory devices. 展开更多
关键词 Oxide semiconductor(OS) Atomic layer deposition(ALD) memory applications
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Real-time decision support for bolter recovery safety:Long short-term memory network-driven aircraft sequencing
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作者 Wei Han Changjiu Li +4 位作者 Xichao Su Yong Zhang Fang Guo Tongtong Yu Xuan Li 《Defence Technology(防务技术)》 2026年第2期184-205,共22页
The highly dynamic nature,strong uncertainty,and coupled multiple safety constraints inherent in carrier aircraft recovery operations pose severe challenges for real-time decision-making.Addressing bolter scenarios,th... The highly dynamic nature,strong uncertainty,and coupled multiple safety constraints inherent in carrier aircraft recovery operations pose severe challenges for real-time decision-making.Addressing bolter scenarios,this study proposes an intelligent decision-making framework based on a deep long short-term memory Q-network.This framework transforms the real-time sequencing for bolter recovery problem into a partially observable Markov decision process.It employs a stacked long shortterm memory network to accurately capture the long-range temporal dependencies of bolter event chains and fuel consumption.Furthermore,it integrates a prioritized experience replay training mechanism to construct a safe and adaptive scheduling system capable of millisecond-level real-time decision-making.Experimental demonstrates that,within large-scale mass recovery scenarios,the framework achieves zero safety violations in static environments and maintains a fuel safety violation rate below 10%in dynamic scenarios,with single-step decision times at the millisecond level.The model exhibits strong generalization capability,effectively responding to unforeseen emergent situations—such as multiple bolters and fuel emergencies—without requiring retraining.This provides robust support for efficient carrier-based aircraft recovery operations. 展开更多
关键词 Carrier-based aircraft Recovery scheduling Deep reinforcement learning Long short-term memory networks Dynamic real-time decision-making
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4D printing of reprocessable thiocyanate covalent adaptable networks with reconfigurable shape memory ability
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作者 Ting Xu Kexiang Chen +7 位作者 Zhiyuan He Chuanzhen Zhang Xiaoyu Li Ziyan Zhang Wenbo Fan Zhishen Ge Chenhui Cui Yanfeng Zhang 《Chinese Chemical Letters》 2026年第2期505-511,共7页
Shape memory polymers used in 4D printing only had one permanent shape after molding,which limited their applications in requiring multiple reconstructions and multifunctional shapes.Furthermore,the inherent stability... Shape memory polymers used in 4D printing only had one permanent shape after molding,which limited their applications in requiring multiple reconstructions and multifunctional shapes.Furthermore,the inherent stability of the triazine ring structure within cyanate ester(CE)crosslinked networks after molding posed significant challenges for both recycling,repairing,and degradation of resin.To address these obstacles,dynamic thiocyanate ester(TCE)bonds and photocurable group were incorporated into CE,obtaining the recyclable and 3D printable CE covalent adaptable networks(CANs),denoted as PTCE1.5.This material exhibits a Young's modulus of 810 MPa and a tensile strength of 50.8 MPa.Notably,damaged printed PTCE1.5 objects can be readily repaired through reprinting and interface rejoining by thermal treatment.Leveraging the solid-state plasticity,PTCE1.5 also demonstrated attractive shape memory ability and permanent shape reconfigurability,enabling its reconfigurable 4D printing.The printed PTCE1.5 hinges and a main body were assembled into a deployable and retractable satellite model,validating its potential application as a controllable component in the aerospace field.Moreover,printed PTCE1.5 can be fully degraded into thiol-modified intermediate products.Overall,this material not only enriches the application range of CE resin,but also provides a reliable approach to addressing environmental issue. 展开更多
关键词 4D Printing Dynamic thiocyanate ester bonds Covalent adaptable networks Cyanate ester resin Shape memory
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Laser-induced in situ reprogramming of magnetic shape memory composites for adaptive devices
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作者 Qianqian Zhang Rui Li +5 位作者 Yuan Tao Yiyu Chen Yanlei Hu Dong Wu Jiaru Chu Jiawen Li 《International Journal of Extreme Manufacturing》 2026年第1期767-779,共13页
Programmable/reprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,compl... Programmable/reprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,complex,untethered,and rapid deformations.However,current MRC-based devices primarily rely on soft matrices,which revert to their original shapes and cease functioning when external magnetic fields are removed.Moreover,their magnetization programming,deformations,and functioning need to alternate between encoding and actuation platforms,limiting the adaptability and efficiency.Here,we present a reprogrammable magnetic shape-memory composite(RM-SMC)integrating a shape-memory polymer(SMP)skeleton with phase-transition magnetic microcapsules.High-intensity laser melts microcapsules for magnetic realignment under programmed fields,while low-intensity laser softens SMP for structural reconfiguration without compromising integrity.This dual-laser strategy facilitates in situ magnetization programming,shape morphing,and function execution within a single material system.Our innovative approach enables unique applications,including omnidirectional multi-degree-of-freedom actuators that can activate light switches,solar trackers that optimize energy capture,and adaptive impellers that modulate fluid pumping.By eliminating platform alternation and enabling shape/function retention post-actuation,the RM-SMC platform overcomes critical limitations in conventional MRCs,establishing a paradigm for multifunctional devices requiring persistent configuration control and field-independent operation. 展开更多
关键词 magneto-responsive composites shape memory polymer in situ programming and deformation omnidirectional multi-degree of freedom actuator adjustable fluid pumping
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Intelligent Reconfigurable Skyrmion-Based Multi-Port Logic Device for In-Memory Computing
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作者 Fuhao Zou Ziyuan Liu +3 位作者 Zijing Zhao Muhammad Humayun Chundong Wang Xiaolei Wang 《Chinese Physics Letters》 2026年第3期331-345,共15页
New electronic devices based on the physical properties of electrically driven skyrmions are promising for logic computing and nonvolatile memory applications.However,achieving efficient and practical compute-storage ... New electronic devices based on the physical properties of electrically driven skyrmions are promising for logic computing and nonvolatile memory applications.However,achieving efficient and practical compute-storage integration remains challenging owing to the structural complexity,limited functionality,and low flexibility observed in most skyrmion-based devices.In this study,we designed a novel device architecture that integrates seven basic logic gates into a unified physical structure.Their operation can be enabled by physical mechanisms,such as spin-orbit torque,spin-transfer torque,skyrmion-edge repulsions,and skyrmion-skyrmion interactions.Furthermore,by incorporating voltage-controlled magnetic anisotropy,the device achieved multi-input capability and reconfigurability functionality.Ultralow power consumption(<1 fJ/bit per logic function)and extremely high logic density were achieved.Significantly,the compatibility of this nanotrack design with existing skyrmion racetrack memory paves the way for advanced in-memory computing in spintronic architectures. 展开更多
关键词 voltage controlled magnetic anisotropy intelligent reconfigurable skyrmion based multi port logic device memory computing logic computing device architecture spin transfer torque spin orbit torque integrates seven basic logic gates
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基于Bi-LSTM的红外热波成像对蜂窝结构缺陷分类研究
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作者 章林强 安奎远 +2 位作者 郑金华 盛涛 江海军 《红外技术》 北大核心 2026年第2期226-233,共8页
蜂窝结构具有材质轻、耐高温、耐腐蚀、耐冲击等优点,是航空航天等领域重要的减重材料。在蜂窝结构制造、服役等阶段产生不同种类的缺陷,特别是水分侵入引起的内部腐蚀,以及胶层老化、脱胶等缺陷。结合红外热波成像技术与循环神经网络,... 蜂窝结构具有材质轻、耐高温、耐腐蚀、耐冲击等优点,是航空航天等领域重要的减重材料。在蜂窝结构制造、服役等阶段产生不同种类的缺陷,特别是水分侵入引起的内部腐蚀,以及胶层老化、脱胶等缺陷。结合红外热波成像技术与循环神经网络,提出基于双向长短期记忆网络Bi-LSTM(bidirectional long short-term memory network)的蜂窝结构缺陷分类识别方法。通过Bi-LSTM模型对红外序列图像的对数温度-对数时间曲线进行识别与判定,针对Bi-LSTM训练过程中的正负样品失衡问题导致背景识别不准确、识别精度低的问题,采用Focal Loss和5点拼接方法,可有效解决正负样品失衡问题,提高系统的有效识别精度。实验分析表明,Bi-LSTM模型对蜂窝结构中水和胶的区分准确度为99%,Bi-LSTM模型可有效应用于蜂窝结构水和胶的检测与识别。 展开更多
关键词 红外热波成像 双向长短期记忆网络 蜂窝结构 缺陷分类
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基于AWOA-BI-LSTM的光伏发电功率预测 被引量:4
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作者 吴仕宏 张璧臣 +1 位作者 吴佳文 武兴宇 《沈阳农业大学学报》 北大核心 2025年第2期131-143,共13页
[目的]光伏发电功率的准确预测对可再生能源整合到电网、市场和建筑能源管理系统中至关重要。为提高预测精度,本研究提出一种基于改进鲸鱼优化算法(AWOA)和双向长短期记忆网络(Bi-LSTM)的混合模型(AWOA-Bi-LSTM)。针对传统鲸鱼优化算法(... [目的]光伏发电功率的准确预测对可再生能源整合到电网、市场和建筑能源管理系统中至关重要。为提高预测精度,本研究提出一种基于改进鲸鱼优化算法(AWOA)和双向长短期记忆网络(Bi-LSTM)的混合模型(AWOA-Bi-LSTM)。针对传统鲸鱼优化算法(WOA)寻优精度低、收敛速度慢的问题,提出动态权重因子和自适应参数调整两种改进策略,以增强模型的全局搜索能力和收敛效率。[方法]利用实际光伏发电数据和实测气象数据将AWOA-Bi-LSTM和WOA-Bi-LSTM以及GRNN进行对比实验。[结果]其中AWOA-Bi-LSTM在测试集和训练集上的R^(2)值分别为0.99701和0.99843;测试集和训练集的RMSE分别为1.585和0.90063。测试集RPD为20.1604,训练集RPD为25.9357。[结论]AWOA-Bi-LSTM在拟合度、预测精度和稳定性方面均优于传统方法,能够更有效地捕捉时间序列数据中的复杂模式和趋势,显著提升预测性能。 展开更多
关键词 光伏发电 功率预测 LSTM bi-lstm WOA算法
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基于数据预处理和Bi-LSTM的智能电网预测方法 被引量:3
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作者 李岩 刘鑫月 +3 位作者 乔俊杰 王毛桃 刘一帆 齐磊杰 《电测与仪表》 北大核心 2025年第6期120-125,共6页
短期预测在智能电网建设中扮演着重要角色,深刻影响电网发输变配用各个环节的智能化改造。短期预测一般基于系统实测数据,而传感器故障,数据传输错误等原因会导致数据质量下降,严重影响短期预测的精确性。为建立数据质量受损情况下的精... 短期预测在智能电网建设中扮演着重要角色,深刻影响电网发输变配用各个环节的智能化改造。短期预测一般基于系统实测数据,而传感器故障,数据传输错误等原因会导致数据质量下降,严重影响短期预测的精确性。为建立数据质量受损情况下的精确短期预测模型,提出了结合数据预处理和双向长短期记忆(bi-directional long short-term memory,Bi-LSTM)的短期预测框架Bi-LSTM-DP(bi-directional long short-term memory data preprocessing)。在Bi-LSTM-DP中,采集的数据首先通过均值填补缺失值,进而基于Savitzky-Golay滤波器对数据降噪,最后采用Bi-LSTM提取时间序列的信息,实现短期预测。为了评估所提方法的性能,文中使用实测的公开数据集分别预测风电发电量和负荷需求,与其他参考方法对比表明了所述方法的有效性和鲁棒性。 展开更多
关键词 短期预测 数据预处理 bi-lstm 深度学习 时间序列
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