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RF CMOS、BiCMOS的新进展(五)——移相器、RF开关、集成无源元件和相控阵(续)
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作者 李永 赵正平 《半导体技术》 北大核心 2026年第2期109-118,共10页
当今信息社会已进入通用人工智能时代,大数据呈指数规律增长,不但要求数据处理速度高速增长,同时也要求数据的传输带宽更宽,推动数据载波的频率向射频(RF)的高端发展。Si基RF CMOS和RF BiCMOS集成电路(IC)具有体积小、功耗低、易于集成... 当今信息社会已进入通用人工智能时代,大数据呈指数规律增长,不但要求数据处理速度高速增长,同时也要求数据的传输带宽更宽,推动数据载波的频率向射频(RF)的高端发展。Si基RF CMOS和RF BiCMOS集成电路(IC)具有体积小、功耗低、易于集成等优点,相应呈现高速发展的态势。综述了Si基RF CMOS和RF BiCMOS的最新进展和发展态势,主要包括低噪声放大器与接收前端,射频-直流整流器与射频能量收集器,功率放大器、RF信号放大器与发射机,振荡器、混频器与频率综合器,移相器、开关、集成无源元件和相控阵,RF专用集成电路(ASIC)和微系统集成等七个RF IC发展的主要方面,凝练了各类RF IC的发展趋势和关键技术创新点。 展开更多
关键词 射频(rf)CMOS rf BiCMOS 放大器 收/发机 rf能量收集器 压控振荡器 频率综合器 移相器 相控阵 微系统集成
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RF CMOS、BiCMOS的新进展(六)——RF ASIC和微系统集成
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作者 李永 赵正平 《半导体技术》 北大核心 2026年第3期205-214,共10页
当今信息社会已进入通用人工智能时代,大数据呈指数规律增长,不但要求数据处理速度高速增长,同时也要求数据的传输带宽更宽,推动数据载波的频率向射频(RF)的高端发展。Si基RF CMOS和RF BiCMOS集成电路(IC)具有体积小、功耗低、易于集成... 当今信息社会已进入通用人工智能时代,大数据呈指数规律增长,不但要求数据处理速度高速增长,同时也要求数据的传输带宽更宽,推动数据载波的频率向射频(RF)的高端发展。Si基RF CMOS和RF BiCMOS集成电路(IC)具有体积小、功耗低、易于集成等优点,相应呈现高速发展的态势。综述了Si基RF CMOS和RF BiCMOS的最新进展和发展态势,主要包括低噪声放大器与接收前端,射频-直流整流器与射频能量收集器,功率放大器、RF信号放大器与发射机,振荡器、混频器与频率综合器,移相器、开关、集成无源元件和相控阵,RF专用集成电路(ASIC)和微系统集成等七个RF IC发展的主要方面,凝练了各类RF IC的发展趋势和关键技术创新点。 展开更多
关键词 射频(rf)CMOS rf BiCMOS 放大器 收/发机 rf能量收集器 压控振荡器 频率综合器 移相器 相控阵 微系统集成
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RF CMOS、BiCMOS的新进展(五)——移相器、RF开关、集成无源元件和相控阵
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作者 李永 赵正平 《半导体技术》 北大核心 2026年第1期1-12,共12页
当今信息社会已进入通用人工智能时代,大数据呈指数规律增长,不但要求数据处理速度高速增长,同时也要求数据的传输带宽更宽,推动数据载波的频率向射频(RF)的高端发展。Si基RF CMOS和RF BiCMOS集成电路(IC)具有体积小、功耗低、易于集成... 当今信息社会已进入通用人工智能时代,大数据呈指数规律增长,不但要求数据处理速度高速增长,同时也要求数据的传输带宽更宽,推动数据载波的频率向射频(RF)的高端发展。Si基RF CMOS和RF BiCMOS集成电路(IC)具有体积小、功耗低、易于集成等优点,相应呈现高速发展的态势。综述了Si基RF CMOS和RF BiCMOS的最新进展和发展态势,主要包括低噪声放大器与接收前端,射频-直流整流器与射频能量收集器,功率放大器、RF信号放大器与发射机,振荡器、混频器与频率综合器,移相器、开关、集成无源元件和相控阵,RF专用集成电路(ASIC)和微系统集成等七个RF IC发展的主要方面,凝练了各类RF IC的发展趋势和关键技术创新点。 展开更多
关键词 射频(rf)CMOS rf BiCMOS 放大器 收/发机 rf能量收集器 压控振荡器 频率综合器 移相器 相控阵 微系统集成`
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基于AHC-PSO-RF代理模型的大型集装箱船参数横摇运动快速预报
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作者 孙强 谭杰 周耀华 《中国舰船研究》 北大核心 2026年第1期104-113,共10页
[目的]针对传统基于水动力学的数值模拟方法计算船舶参数横摇存在计算成本高、操作要求高且无法覆盖所有装载工况等问题,提出一种融合特征物理化重构、凝聚层次聚类(AHC)与改进随机森林(RF)的集成机器学习替代模型,用于高效预测船舶参... [目的]针对传统基于水动力学的数值模拟方法计算船舶参数横摇存在计算成本高、操作要求高且无法覆盖所有装载工况等问题,提出一种融合特征物理化重构、凝聚层次聚类(AHC)与改进随机森林(RF)的集成机器学习替代模型,用于高效预测船舶参数横摇幅值。[方法]利用AHC压缩特征维度,降低模型复杂度和计算开销;采用粒子群算法(PSO)对RF超参数进行全局寻优。[结果]基于某大型集装箱船多工况水动力数值模拟结果数据的验证结果表明:与广义回归神经网络(GRNN)及未优化RF模型相比,在迎浪和艉随浪工况下,该模型(AHC–PSO–RF)在横摇有义值预测中的决定系数(R2)平均提升5.84%与0.27%,均方根误差(RMSE)平均降低59.28%与10.69%,预测精度较高。此外,模型在单个装载工况的平均计算耗时相比于水动力数值模拟方法减少84.5%。[结论]该模型在批量预测任务中具备显著效率优势,证明了其作为高效替代方案的工程实用价值。 展开更多
关键词 船舶稳性 参数横摇 代理模型 凝聚层次聚类−粒子群优化−随机森林模型 集装箱船 动稳性预报
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基于随机森林算法(RF)的深层煤岩气CO_(2)与N_(2)伴注压裂协同增效机制
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作者 方燕俊 罗懿 王帆 《非常规油气》 2026年第1期63-72,共10页
针对深层煤岩气藏吸附气解吸困难、压后产能低和递减快等问题,在CO_(2)与N_(2)对煤层作用机制的基础上,以鄂尔多斯盆地大牛地深层煤岩气为研究对象,通过开展甲烷解吸性能测试、岩心伤害测试以及返排液滞留测试等室内实验,进行地层条件... 针对深层煤岩气藏吸附气解吸困难、压后产能低和递减快等问题,在CO_(2)与N_(2)对煤层作用机制的基础上,以鄂尔多斯盆地大牛地深层煤岩气为研究对象,通过开展甲烷解吸性能测试、岩心伤害测试以及返排液滞留测试等室内实验,进行地层条件下不同注气压力、气液体积比和气体配比等伴注参数混合气伴注对煤岩润湿性能、微观结构、表面电荷性质以及对甲烷解吸性能的影响因素分析,同时结合随机森林算法(RF),明确了滑溜水压裂液对深层煤岩气解吸性能影响的主控因素和预测主控因素边界条件。研究表明,气体与液体共存条件下,压裂液对煤岩的伤害占主导地位,注气可以减缓压裂液对煤岩的伤害;Zeta电位、质量差、接触角和注气压力是煤岩气解吸影响的主控因素,当气液配比为1∶4、V(N_(2))∶V(CO_(2))=1∶3~1∶4(温度80℃,压力5 MPa),浸泡后煤样与水的接触角控制在30°~40°、Zeta电位控制在-60~-70mV,最有利于提高甲烷的解吸量,同时考虑CO_(2)成本高于N_(2),V(N_(2))∶V(CO_(2))=1∶3效益最佳。 展开更多
关键词 深层煤岩气 混合气伴注 解吸 CO_(2) N_(2) 随机森林算法(rf)
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基于RBFNN-RF的南水北调中线总干渠冰情预测模型
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作者 陈晓楠 刘爽 +3 位作者 陈宁 李晓倩 穆祥鹏 段春青 《水利水电快报》 2026年第1期1-7,共7页
为提升南水北调中线总干渠冰期输水能力,实现在保障冰期安全运行前提下尽可能多供水的目标,精准预测总干渠冰情有重要意义。利用南水北调中线工程通水以来的冰情原型观测数据,应用径向基神经网络(RBFNN)建立了当日平均水温、次日最高和... 为提升南水北调中线总干渠冰期输水能力,实现在保障冰期安全运行前提下尽可能多供水的目标,精准预测总干渠冰情有重要意义。利用南水北调中线工程通水以来的冰情原型观测数据,应用径向基神经网络(RBFNN)建立了当日平均水温、次日最高和最低气温、次日天气状况、次日水流流速与次日平均水温的非线性回归模型,利用随机森林(RF)模型建立了基于水温、气温、流速因子研判冰情状态的二分类模型,并结合两者形成了基于径向基神经网络和随机森林(RBFNN-RF)的冰情逐日预测模型。以南水北调中线总干渠北拒马河断面为典型代表,应用该模型分别针对1,3,5,7 d预见期的冰情进行测试。结果表明:1,3,5,7 d预测水温的均方根误差分别为0.17,0.36,0.52,0.64℃,而相应预见期下的冰情状态预测准确率分别为95.28%,92.68%,89.08%和85.22%,建立的冰情预测模型具有较高的精度。该冰情预测模型可为南水北调中线工程实施精准动态调度,充分发挥工程效益提供技术支撑,并为类似明渠长距离调水工程的冰期调度提供参考。 展开更多
关键词 冰情预测 RBFNN rf 南水北调中线总干渠
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基于RF-Transformer的测井曲线页岩岩相识别方法
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作者 苏俊磊 董旭 +4 位作者 唐嘉伟 曾渝 石雪莹 李佩璇 杨仁杰 《测井技术》 2026年第1期153-162,共10页
岩相识别是油气储层精细刻画的关键环节,其准确性直接影响储层评价结果的可靠性。现有识别方法在测井数据高频噪声抑制方面存在不足,且难以准确捕捉地层纵向长程依赖关系。因此,本文提出了一种融合随机森林(Random Forest,RF)与Transfor... 岩相识别是油气储层精细刻画的关键环节,其准确性直接影响储层评价结果的可靠性。现有识别方法在测井数据高频噪声抑制方面存在不足,且难以准确捕捉地层纵向长程依赖关系。因此,本文提出了一种融合随机森林(Random Forest,RF)与Transformer的深度学习模型(RF-Transformer),以提高非均质储层页岩岩相识别的准确性与效率,为储层精细刻画提供技术支撑。该模型首先利用随机森林模型评估测井曲线(如自然伽马、声波时差、电阻率等)特征权重,用以筛选关键参数进而压制高频噪声,构建高质量特征输入向量。随后用Transformer模块,借助其自注意力机制的全局上下文感知能力,并行计算测井曲线的关联权重,从而深度挖掘并重构地层纵向长程依赖关系。以川南页岩气田3800个实测样本(含6类典型岩相、8条常规测井曲线)为数据集,开展模型性能对比与实例应用分析。结果表明:①RF-Transformer模型准确率达91.51%,较Transformer、长短期记忆网络(Long Short-Term Memory,LSTM)和卷积神经网络(Convolutional Neural Network,CNN)模型分别提升了12.90%、23.60%和47.54%,优于K近邻(81.09%)、决策树(77.28%)等传统机器学习模型;②该模型仅需约25次迭代即可进入收敛态,收敛速度较现有模型提升8~10倍;③成功筛选出自然伽马、声波时差、浅侧向电阻率等6条关键测井曲线,有效剔除深侧向电阻率等冗余特征与非地质噪声;④实例应用中,预测页岩岩相剖面纵向连续性与平滑度高,与真实地质分层特征高度吻合,精准刻画页岩岩相过渡带边界。结论认为,该模型在兼顾高抗噪性与强时序捕捉能力的同时,实现页岩岩相的高效精准识别,为非均质储层精细描述提供了可靠技术支撑,后续需围绕测井解释软件适配性展开优化。 展开更多
关键词 测井曲线 岩相识别 随机森林(Random Forest rf) 深度学习 TRANSFORMER 页岩储层 长程依赖 噪声抑制
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融合TAM-LSTNet-CEEMDAN-RF误差修正模型的工艺质量预测算法
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作者 侯步超 阴艳超 +3 位作者 张曦 汪霖宇 陈忠 洪志敏 《机械科学与技术》 北大核心 2026年第1期94-103,共10页
针对传统流程生产工艺质量预测模型训练过程中存在误差积累的问题,提出一种融合注意力机制-长短时间序列网络-自适应噪声集成经验模态分解-随机森林(TAM-LSTNet-CEEMDAN-RF)误差修正的组合预测模型。首先通过引入互信息和堆叠稀疏自编码... 针对传统流程生产工艺质量预测模型训练过程中存在误差积累的问题,提出一种融合注意力机制-长短时间序列网络-自适应噪声集成经验模态分解-随机森林(TAM-LSTNet-CEEMDAN-RF)误差修正的组合预测模型。首先通过引入互信息和堆叠稀疏自编码器,从工艺数据中筛选出有效的特征,构建有效维度;然后利用TAM-LSTNet模型挖掘有效维度与工艺时间序列数据之间的复杂关联关系,得出第一值并与测试值相减,计算出误差序列,通过CEEMDAN-RF模型对误差序列进行校正,得出第二值;最后将两值相加处理,得到质量指标预测值。结合某流程生产线的数据进行分析验证,结果表明:组合模型的拟合度较TAM-LSTM模型和TAM-LSTNet-RF模型分别提高了0.036、0.029,验证了所提方法的有效性和适用性;所提误差修正模型可实现流程生产质量的准确预测。 展开更多
关键词 TAM-LSTNet-CEEMDAN-rf 误差修正模型 工艺质量预测
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Forecasting of Sea-Surface Wind Speed Using Deep-Learning Method Based on Multidimensional Frequency-Domain Feature Fusion
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作者 HE Jiaru DENG Zengan 《Journal of Ocean University of China》 2025年第5期1256-1268,共13页
Sea-surface wind is a vital meteorological element in marine activities and climate research.This study proposed the spectral attention enhanced multidimensional feature fusion convolutional long short-term memory(LST... Sea-surface wind is a vital meteorological element in marine activities and climate research.This study proposed the spectral attention enhanced multidimensional feature fusion convolutional long short-term memory(LSTM)network(SAMFF-Conv-LSTM),a novel approach for sea-surface wind-speed prediction that emphasizes the temporal characteristics of data samples.The model incorporates the Fourier transform to extract time-and frequency-domain features from wave and wind variables.For the 12 h prediction,the SAMFF-ConvLSTM achieved a correlation coefficient of 0.960 and a root mean square error(RMSE)of 1.350 m/s,implying a high prediction accuracy.For the 24 h prediction,the RMSE of the SAMFF-ConvLSTM was reduced by 38.11%,14.26%,and 13.36%compared with those of the convolutional neural network,gated recurrent units,and convolutional LSTM(ConvLSTM),respectively.These results confirm the superior reliability and accuracy of the SAMFF-ConvLSTM over traditional models in theoretical and practical applications. 展开更多
关键词 wind speed spatiotemporal sequence prediction WAVES frequency domain
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Dark energy effects on surface gravitational redshift and Keplerian frequency of neutron stars
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作者 Jia-Jing He Yan Xu +3 位作者 Yi-Bo Wang Xiu-Lin Huang Xing-Xing Hu Yu-Fu Shen 《Communications in Theoretical Physics》 2025年第1期122-129,共8页
Research on the properties of neutron stars with dark energy is a particularly interesting yet unresolved problem in astrophysics.We analyze the influence of dark energy on the equation of state,the maximum mass,the s... Research on the properties of neutron stars with dark energy is a particularly interesting yet unresolved problem in astrophysics.We analyze the influence of dark energy on the equation of state,the maximum mass,the surface gravitational redshift and the Keplerian frequency for the traditional neutron star and the hyperon star matter within the relativistic mean field theory,using the GM1 and TM1 parameter sets by considering the two flavor symmetries of SU(6)and SU(3)combined with the observations of PSR J1614-2230,PSR J0348+0432,PSR J0030+0451,RX J0720.4-3125,and 1E 1207.4-5209.It is found that the existence of dark energy leads to the softened equations of the state of the traditional neutron star and the hyperon star.The radius of a fixed-mass traditional neutron star(or hyperon star)with dark energy becomes smaller,which leads to increased compactness.The existence of dark energy can also enhance the surface gravitational redshift and the Keplerian frequency of traditional neutron stars and hyperon stars.The growth of the Keplerian frequency may cause the spin rate to speed up,which may provide a possible way to understand and explain the pulsar glitch phenomenon.Specifically,we infer that the mass and the surface gravitational redshift of PSR J1748-2446ad without dark energy for the GM1(TM1)parameter set are 1.141 M_(☉)(1.309 M_(☉))and 0.095(0.105),respectively.The corresponding values for the GM1(TM1)parameter set are 0.901 M_(☉)(1.072M_(☉))and 0.079(0.091)if PSR J1748-2446ad contains dark energy withα=0.05.PSR J1748-2446ad may be a low-mass pulsar with a lower surface gravitational redshift under our selected models. 展开更多
关键词 dark energy neutron stars gravitational redshift Keplerian frequency
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应用于RFID读写器的全数字锁相环研究
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作者 蒋小军 杨威 +1 位作者 蒋小伟 毛晓琴 《无线互联科技》 2026年第1期15-19,共5页
针对传统射频识别(Radio Frequency Identification, RFID)读写器在频率跟踪精度、响应速度及抗干扰能力方面存在的不足,文章提出了一种适用于RFID读写器的全数字锁相环(All-Digital Phase-Locked Loop, ADPLL)架构。该锁相环采用具有... 针对传统射频识别(Radio Frequency Identification, RFID)读写器在频率跟踪精度、响应速度及抗干扰能力方面存在的不足,文章提出了一种适用于RFID读写器的全数字锁相环(All-Digital Phase-Locked Loop, ADPLL)架构。该锁相环采用具有分层超前进位全加器结构的数控振荡器(Digital-Controlled Oscillator, DCO),可实现对标签回波信号频率的高精度跟踪,显著提升读写器的通信可靠性与系统稳定性。电路设计基于QuartusⅡ平台完成,包括功能建模与时序仿真。仿真结果表明,文章所提出的锁相环具备低功耗、低延迟等优良特性,适用于高性能、低功耗的RFID应用环境。 展开更多
关键词 rfID读写器 全数字锁相环 超前进位 数控振荡器
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Efficient N-doped carbon plate for high-performance broadband-frequency electromagnetic interference shielding and electric heating management
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作者 Xixun Hao Wu Lan +1 位作者 Di Li Chuanfu Liu 《Journal of Materials Science & Technology》 2025年第29期139-146,共8页
The vigorous development of modern electronic communication demands multi-functional materials with exceptional electromagnetic interference(EMI)shielding.However,constructing lightweight and highly efficient metal-fr... The vigorous development of modern electronic communication demands multi-functional materials with exceptional electromagnetic interference(EMI)shielding.However,constructing lightweight and highly efficient metal-free carbon-based EMI shielding materials remains a huge challenge,particularly with robust EMI responses across a broadband frequency.Herein,a broadband(8-27 GHz)and strong EMI shielding response nitrogen-doped carbon plate(NCP)is constructed by a pressing and two-step pyroly-sis process.The layered stacking structure and N-doping impart extraordinary EMI shielding performance to the carbon plate,achieving EMI shielding effectiveness values of 82.60,95.44,and 104.12 dB in the X band,Ku band,and K band,respectively.Notably,the overall thickness of NCP was<1 mm.Moreover,the NCP exhibits remarkable joule heating performance with a low driving voltage(≤3 V)and a fast elec-trothermal response.This work enables the potential for the development of metal-free carbon materials with lightweight,highly efficient and broadband-strong EMI shielding performance. 展开更多
关键词 Carbon plate NITROGEN-DOPED Electromagnetic shielding Broadband frequency Joule heating performance
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Mapping ultrafast timing jitter in dispersion- managed 89 GHz frequency microcombs via self-heterodyne linear interferometry
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作者 Wenting Wang Wenzheng Liu +15 位作者 Hao Liu Tristan Melton Alwaleed Aldhafeeri Dong-Il Lee Jinghui Yang Abhinav Kumar Vinod Jinkang Lim Yoon-Soo Jang Heng Zhou Mingbin Yu Patrick Guo-Qiang Lo Dim-Lee Kwong Peter DeVore Jason Chou Ninghua Zhu Chee Wei Wong 《Advanced Photonics Nexus》 2025年第3期120-130,共11页
Laser frequency microcombs provide a series of equidistant,coherent frequency markers across a broad spectrum,enabling advancements in laser spectroscopy,dense optical communications,precision distance metrology,and a... Laser frequency microcombs provide a series of equidistant,coherent frequency markers across a broad spectrum,enabling advancements in laser spectroscopy,dense optical communications,precision distance metrology,and astronomy.Here,we design and fabricate silicon nitride,dispersion-managed microresonators that effectively suppress avoided-mode crossings and achieve close-to-zero averaged dispersion.Both the stochastic noise and mode-locking dynamics of the resonator are numerically and experimentally investigated.First,we experimentally demonstrate thermally stabilized microcomb formation in the microresonator across different mode-locked states,showing negligible center frequency shifts and a broad frequency bandwidth.Next,we characterize the femtosecond timing jitter of the microcombs,supported by precise metrology of the timing phase and relative intensity noise.For the single-soliton state,we report a relative intensity noise of−153.2 dB∕Hz,close to the shot-noise limit,and a quantum-noise–limited timing jitter power spectral density of 0.4 as 2∕Hz at a 100 kHz offset frequency,measured using a self-heterodyne linear interferometer.In addition,we achieve an integrated timing jitter of 1.7 fs±0.07 fs,measured from 10 kHz to 1 MHz.Measuring and understanding these fundamental noise parameters in high clock rate frequency microcombs is critical for advancing soliton physics and enabling new applications in precision metrology. 展开更多
关键词 frequency microcomb timing jitter self-heterodyne linear interferometry dispersion-managed microresonator
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Performance of radio frequency ion thruster with polytetrafluoroethylene propellant embedded in discharge chamber
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作者 Longfei MA Jinhao LIU +3 位作者 Jiahao FU Jianwu HE Li DUAN and Qi KANG 《Plasma Science and Technology》 2025年第6期8-14,共7页
Exploring solid propellants for electric thrusters can simplify the propellant storage and supply units in propulsion systems.In this study,polytetrafluoroethylene(PTFE),commonly used as a propellant in pulsed plasma ... Exploring solid propellants for electric thrusters can simplify the propellant storage and supply units in propulsion systems.In this study,polytetrafluoroethylene(PTFE),commonly used as a propellant in pulsed plasma thrusters,was embedded in the discharge chamber of a radio frequency ion thruster(RIT-4)to investigate the performance of an ablation-type RIT.Experimental results indicate that PTFE can decompose and ionize stably under plasma ablation within the discharge chamber,producing-C-F-and F-ion clusters that form a stable plasma.By adjusting the length of the PTFE propellant,it was observed that its decomposition rate influences the ion beam current of the thruster.Compared with xenon,PTFE generates an ion plume with a larger divergence angle,ranging from 16.05°to 22.74°at an ion beam current of 25 mA,with a floating potential distribution of 8‒56 V.Assuming that the proportion of neutral gas in the vacuum chamber matches the ion species ratio in the ion plume,thrust,specific impulse and efficiency parameters were calculated for the RIT-4 with embedded PTFE.Under 50 W RF power,the thrust was approximately 1.02 mN,the specific impulse was around 1236 s and the power-to-thrust ratio was approximately 93.14 W/mN.All results indicate that PTFE is a viable propellant for RIT,but the key is to control the rate of decomposition. 展开更多
关键词 radio frequency ion thruster polytetrafluoroethylene propellant ion plume diagnosis thrust calculation
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A Wide Passband Frequency Selective Surface with Angular Stability
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作者 TANG Xingyang SUI Jia +2 位作者 FU Jiahui YANG Kaiwen ZHAO Zhipeng 《ZTE Communications》 2025年第1期78-84,共7页
A wide passband frequency selective surface(FSS)is proposed using a five-layer stacked structure.The proposed structure applies four layers of dielectric plates and five layers of metal patches to provide a passband a... A wide passband frequency selective surface(FSS)is proposed using a five-layer stacked structure.The proposed structure applies four layers of dielectric plates and five layers of metal patches to provide a passband and exhibits more stable frequency responses and lower insertion loss under wide-angle oblique incidence compared with the typical three-layer metal-dielectric structure.According to the simulation results,the proposed FSS can achieve a passband range of 1.7-2.7 GHz with an insertion loss of less than 0.5 d B and a relative bandwidth of 44.1%,and it can preserve stable transmission characteristics with the incident angle ranging from 0°to 45°. 展开更多
关键词 frequency selective surface(FSS) wide bandwidth low insertion loss
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基于FHSPSO-RF的交通事故严重程度预测
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作者 王淑椒 胡学龙 唐磊 《山东交通学院学报》 2026年第1期25-33,共9页
为提高交通事故严重程度的预测准确性,构建一种基于觅食生境选择粒子群优化(foraging habitat selection particle swarm optimization,FHSPSO)算法优化随机森林(random forest,RF)算法关键超参数的FHSPSO-RF模型,以美国华盛顿州西雅图... 为提高交通事故严重程度的预测准确性,构建一种基于觅食生境选择粒子群优化(foraging habitat selection particle swarm optimization,FHSPSO)算法优化随机森林(random forest,RF)算法关键超参数的FHSPSO-RF模型,以美国华盛顿州西雅图市2022年1月至2023年2月的交通事故数据为基础,选取12项特征指标,采用合成少数类过采样技术,增加重伤和死亡事故的样本数,改善事故类别分布均衡性;将FHSPSO-RF模型与支持向量机(support vector machine,SVM)、K近邻(K-nearest neighbors,KNN)和逻辑回归(logistic regression,LR)等模型进行性能对比,并通过SHAP(Shapley additive explanations)分析法,解析各特征对交通事故严重程度的影响机制。结果表明:过采样后重伤、死亡事故的召回率显著增大,FHSPSO-RF模型的整体性能更均衡;FHSPSO-RF模型的准确率、精确率、召回率、F1分数均高于其他3个模型,对交通事故严重程度的预测效果最好;在所有交通事故类型中,受伤人数和车辆数量均为最关键的驱动因素,对交通事故严重程度具有显著正向影响,行人数量、高冲击碰撞类型(如正面撞击)与复杂道路环境(如交叉口、匝道)是重伤及死亡事故的关键风险组合;财产损失事故与是否碰撞路边停放车辆密切相关。FHSPSORF模型在交通事故严重程度预测中表现出良好的性能与可解释性,可为交通事故风险预测与防控决策提供依据。 展开更多
关键词 交通事故 严重程度预测 FHSPSO rf
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FrFT Based Joint Time-Frequency Signal Processing for Coherent Optical Fiber Communications
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作者 Xiang Yating Zhou Huibin Tang Ming 《China Communications》 2025年第11期50-62,共13页
The linear transmission impairments,such as the timing offset(TO),frequency offset(FO),and chromatic dispersion(CD),are major factors of signal degradations in coherent optical fiber communication systems.The estimati... The linear transmission impairments,such as the timing offset(TO),frequency offset(FO),and chromatic dispersion(CD),are major factors of signal degradations in coherent optical fiber communication systems.The estimation and compensation of such impairments play significant roles in the receiver side digital signal processing(DSP)unit.In this paper,we propose to combat the linear impairments systematically(including TO,FO and CD)with a joint timefrequency signal processing by taking the advantage of fractional Fourier transform(FrFT).In view of geometrical analysis,TO/FO induces a shift in time/frequency coordinate and the CD leads to the rotation in the fractional domain.Both mathematical derivations and geometrical interpretations have been established to unveil the relationships between impairments and linear frequency modulated(LFM)training symbols(TSs).By considering a typical coherent optical orthogonal frequency-division multiplexing(COOFDM)transmission system,three kinds of linear impairments have been jointly estimated by simple geometric calculations using appropriately designed TS based on FrFTs.Simulation and experimental results confirmed the feasibility of time-frequency techniques with better accuracy,less complexity,and improved spectral efficiency. 展开更多
关键词 chromatic dispersion coherent optical orthogonal frequency-division multiplexing fractional Fourier transform frequency offset timing offset
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A Robust Large-Scale Multiagent Deep Reinforcement Learning Method for Coordinated Automatic Generation Control of Integrated Energy Systems in a Performance-Based Frequency Regulation Market
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作者 Jiawen Li Tao Zhou 《IEEE/CAA Journal of Automatica Sinica》 2025年第7期1475-1488,共14页
To enhance the frequency stability and lower the regulation mileage payment of a multiarea integrated energy system(IES)that supports the power Internet of Things(IoT),this paper proposes a data-driven cooperative met... To enhance the frequency stability and lower the regulation mileage payment of a multiarea integrated energy system(IES)that supports the power Internet of Things(IoT),this paper proposes a data-driven cooperative method for automatic generation control(AGC).The method consists of adaptive fractional-order proportional-integral(FOPI)controllers and a novel efficient integration exploration multiagent twin delayed deep deterministic policy gradient(EIE-MATD3)algorithm.The FOPI controllers are designed for each area based on the performancebased frequency regulation market mechanism.The EIE-MATD3 algorithm is used to tune the coefficients of the FOPI controllers in real time using centralized training and decentralized execution.The algorithm incorporates imitation learning and efficient integration exploration to obtain a more robust coordinated control strategy.An experiment on the four-area China Southern Grid(CSG)real-time digital system shows that the proposed method can improve the control performance and reduce the regulation mileage payment of each area in the IES. 展开更多
关键词 Adaptive fractional-order PI controller automatic generation control deep reinforcement learning performance-based frequency regulation market
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In-Flight Heating Process of Cerium Oxide Powders in Radio Frequency Thermal Plasma Considering Thermal Resistance Effect
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作者 Su Yi Liu Ruizhe +3 位作者 Ahmad Hilal Zhao Peng Jin Xingyue Zhu Hailong 《稀有金属材料与工程》 北大核心 2026年第3期581-594,共14页
The in-flight heating process of cerium dioxide(CeO_(2))powders was investigated through experiments and numerical simulations.In the experiment,CeO_(2)powder(average size of 30μm)was injected into radio-frequency(RF... The in-flight heating process of cerium dioxide(CeO_(2))powders was investigated through experiments and numerical simulations.In the experiment,CeO_(2)powder(average size of 30μm)was injected into radio-frequency(RF)argon plasma,and the temperatures were measured using a DPV-2000 monitor.A model combining the electromagnetism,thermal flow,and heat transfer characteristics of powder during in-flight heating in argon plasma was proposed.The melting processes of CeO_(2)powders of different diameters,with and without thermal resistance effect,were investigated.Results show that the heating process of CeO_(2)powder particles consists of three main stages,one of which is relevant to a dimensionless parameter known as the Biot number.When the Biot value≥0.1,thermal resistance increases significantly,especially for the larger powders.The predicted temperature of the particles at the outlet(1800–2880 K)is in good agreement with the experimental result. 展开更多
关键词 rf thermal plasma thermal resistance effect heating process Biot number
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Handling class imbalance of radio frequency interference in deep learning-based fast radio burst search pipelines using a deep convolutional generative adversarial network
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作者 Wenlong Du Yanling Liu Maozheng Chen 《Astronomical Techniques and Instruments》 2025年第1期10-15,共6页
This paper addresses the performance degradation issue in a fast radio burst search pipeline based on deep learning.This issue is caused by the class imbalance of the radio frequency interference samples in the traini... This paper addresses the performance degradation issue in a fast radio burst search pipeline based on deep learning.This issue is caused by the class imbalance of the radio frequency interference samples in the training dataset,and one solution is applied to improve the distribution of the training data by augmenting minority class samples using a deep convolutional generative adversarial network.Experi.mental results demonstrate that retraining the deep learning model with the newly generated dataset leads to a new fast radio burst classifier,which effectively reduces false positives caused by periodic wide-band impulsive radio frequency interference,thereby enhancing the performance of the search pipeline. 展开更多
关键词 Fast radio burst Deep convolutional generative adversarial network Class imbalance Radio frequency interference Deep learning
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