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RFLE-Net:Refined Feature Extraction and Low-Loss Feature Fusion Method in Semantic Segmentation of Medical Images
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作者 Fan Zhang Zihao Zhang +5 位作者 Huifang Hou Yale Yang Kangzhan Xie Chao Fan Xiaozhen Ren Quan Pan 《Journal of Bionic Engineering》 2025年第3期1557-1572,共16页
The application of transformer networks and feature fusion models in medical image segmentation has aroused considerable attention within the academic circle.Nevertheless,two main obstacles persist:(1)the restrictions... The application of transformer networks and feature fusion models in medical image segmentation has aroused considerable attention within the academic circle.Nevertheless,two main obstacles persist:(1)the restrictions of the Transformer network in dealing with locally detailed features,and(2)the considerable loss of feature information in current feature fusion modules.To solve these issues,this study initially presents a refined feature extraction approach,employing a double-branch feature extraction network to capture complex multi-scale local and global information from images.Subsequently,we proposed a low-loss feature fusion method-Multi-branch Feature Fusion Enhancement Module(MFFEM),which realizes effective feature fusion with minimal loss.Simultaneously,the cross-layer cross-attention fusion module(CLCA)is adopted to further achieve adequate feature fusion by enhancing the interaction between encoders and decoders of various scales.Finally,the feasibility of our method was verified using the Synapse and ACDC datasets,demonstrating its competitiveness.The average DSC(%)was 83.62 and 91.99 respectively,and the average HD95(mm)was reduced to 19.55 and 1.15 respectively. 展开更多
关键词 Multi-organ medical image segmentation Fine-grained dual branch feature extractor low-loss feature fusion module
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A Passive Low-Pass Filter on Low-Loss Substrate
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作者 方杰 刘泽文 +4 位作者 赵嘉昊 陈忠民 韦嘉 刘理天 李志坚 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2006年第9期1572-1577,共6页
The loss mechanisms of different passive devices (on-chip inductors and capacitors) on different substrates are analyzed and compared. OPS (oxidized porous silicon) and HR (high-resistivity) substrates are used ... The loss mechanisms of different passive devices (on-chip inductors and capacitors) on different substrates are analyzed and compared. OPS (oxidized porous silicon) and HR (high-resistivity) substrates are used as low-loss substrates for on-chip planar LPF (low pass filter) fabrication. For the study of substrate loss, a planar coil inductor is also designed. Simulation results show that Q (the quality factor) of the inductor on both substrates is over 20. Measurements of the LPF on OPS substrate give a - 3dB bandwidth of 2.9GHz and a midband insertion loss of 0.87dB at 500MHz. The LPF on HR substrate gives a - 3dB bandwidth of 2.3GHz and a midband insertion loss of 0.42dB at 500MHz. 展开更多
关键词 LC low-pass filter low-loss substrate on-chip inductor RF
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A super junction SiGe low-loss fast switching power diode 被引量:1
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作者 马丽 高勇 《Chinese Physics B》 SCIE EI CAS CSCD 2009年第1期303-308,共6页
This paper proposes a novel super junction (S J) SiGe switching power diode which has a columnar structure of alternating p- and n- doped pillar substituting conventional n- base region and has far thinner strained ... This paper proposes a novel super junction (S J) SiGe switching power diode which has a columnar structure of alternating p- and n- doped pillar substituting conventional n- base region and has far thinner strained SiGe p+ layer to overcome the drawbacks of existing Si switching power diode. The SJ SiGe diode can achieve low specific on-resistance, high breakdown voltages and fast switching speed. The results indicate that the forward voltage drop of SJ SiGe diode is much lower than that of conventional Si power diode when the operating current densities do not exceed 1000 A/cm^2, which is very good for getting lower operating loss. The forward voltage drop of the Si diode is 0.66V whereas that of the SJ SiGe diode is only 0.52V voltages are 203 V for the former and 235 V for the latter. at operating current density of 10A/cm^2. The breakdown Compared with the conventional Si power diode, the reverse recovery time of SJ SiGe diode with 20 per cent Ge content is shortened by above a half and the peak reverse current is reduced by over 15%. The SJ SiGe diode can remarkably improve the characteristics of power diode by combining the merits of both SJ structure and SiGe material. 展开更多
关键词 super junction SiGe diode fast switching low-loss
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Low-loss terahertz waveguide with InAs-graphene-SiC structure 被引量:1
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作者 徐德刚 王与烨 +8 位作者 于红 李佳起 李忠孝 闫超 张昊 刘鹏翔 钟凯 王卫鹏 姚建铨 《Chinese Physics B》 SCIE EI CAS CSCD 2014年第5期323-327,共5页
We demonstrate a low-loss terahertz waveguide based on the InAs-graphene-SiC structure. By analyzing the terahertz waveguide proposed in this paper, we can obtain that it is the characteristic of a low transmission lo... We demonstrate a low-loss terahertz waveguide based on the InAs-graphene-SiC structure. By analyzing the terahertz waveguide proposed in this paper, we can obtain that it is the characteristic of a low transmission loss coefficient (αloss 0.55 dB/m) for fundamental mode (LP01) when the incident frequency is larger than 3.0 THz. The critical radii of the inside and outside cylinders have been found for the high-quality transmission. The large inside radius and the high transmission frequency result in a fiat transmission loss coefficient curve. As a strictly two-dimensional material, the double graphene surface rings perform better to improve the quality of transmission mode. These results provide a new idea for the research of the long-distance THz waveguide. 展开更多
关键词 InAs-graphene-SiC structure low-loss terahertz waveguide transmission critical radii
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Large-capacity and low-loss integrated optical buffer
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作者 Jianping Yao 《Journal of Semiconductors》 EI CAS CSCD 2019年第5期6-6,共1页
Trapping light in a photonic integrated circuit can findmany applications, such as optical storage, optical-packetswitching, optical sensing and microwave photonics. Althoughthere are many ways to implement an integra... Trapping light in a photonic integrated circuit can findmany applications, such as optical storage, optical-packetswitching, optical sensing and microwave photonics. Althoughthere are many ways to implement an integrated opticalbuffer, such as the use of ring resonators, photonic crystals,Bragg gratings and spiral waveguides, it is still challenging torealize optical buffers with long storage time and low loss.Photonic integrated circuits with small size are of interest forimplementing optical buffers. In general, three materials systemsare employed to implement integrated optical buffers, silicon,silicon nitride and indium phosphide. However, it is hardto implement optical buffers with a storage time over tens ofnanoseconds due to the intrinsic high loss of these materials. 展开更多
关键词 Large-capacity low-loss INTEGRATED OPTICAL BUFFER
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Design and Fabrication of a Low-Loss Microstrip Lowpass-Bandpass Diplexer for WiMAX Applications
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作者 Leila Nouri Salah Yahya Abbas Rezaei 《China Communications》 SCIE CSCD 2020年第6期109-120,共12页
This work presents a compact lowpass-bandpass microstrip diplexer with a novel configuration.It consists of a lowpass filter integrated with a bandpass filter via a simple compact junction.The proposed bandpass filter... This work presents a compact lowpass-bandpass microstrip diplexer with a novel configuration.It consists of a lowpass filter integrated with a bandpass filter via a simple compact junction.The proposed bandpass filter consists of four rectangular patch cells and some thin strips.The step impedance structures,with a radial cell,are applied to achieve a lowpass frequency response.The lowpass channel of the introduced diplexer has 2.64 GHz cut-off frequency,whereas,the bandpass channel center frequency is 3.73 GHz for WiMAX applications and covers the frequencies3.31 GHz to 4 GHz.In addition to having novel structures,both filters have other advantages in terms of high return loss,low insertion loss and high selectivity.The presented microstrip diplexer has the compact size of 29 mm×13.8 mm×0.762 mm,calculated at 2.64 GHz.The obtained insertion losses are 0.20 dB(for the first channel)and 0.25 dB(for the second channel),which make the proposed diplexer suitable for energy harvesting.The stopband properties of both bandpass and lowpass filters are improved by creating several transmission zeros.The comparison results show that the lowest insertion losses,the minimum gap between channels,good return losses,and good isolation are obtained. 展开更多
关键词 compact DIPLEXER lowpass-bandpass low-loss MICROSTRIP SELECTIVITY
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Low-Loss, Broadband and Tunable Negative Refractive Index Metamaterial
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作者 Y.J. Huang G.J. Wen +1 位作者 T.Q. Li K. Xie 《Journal of Electromagnetic Analysis and Applications》 2010年第2期104-110,共7页
This paper report on a low-loss, broadband, and tunable negative refractive index metamaterial (NRIM) consisting of yttrium iron garnet (YIG) slabs and printed circuit boards (PCBs). The YIG slabs under an applied mag... This paper report on a low-loss, broadband, and tunable negative refractive index metamaterial (NRIM) consisting of yttrium iron garnet (YIG) slabs and printed circuit boards (PCBs). The YIG slabs under an applied magnetic field provide a negative permeability and the PCBs provide a negative permittivity. The substrates of the PCBs decuple the interactions between the YIG slabs and wire array deposed on such substrates. The effective electromagnetic parameters of the NRIM and the conditions of exhibiting the negative refractive index character are analyzed theoretically. Then the negative transmission and negative refraction characters are investigated numerically and experimentally. The results indicate that the NRIM exhibits negative pass band within the X-band with a bandwidth of about 1 GHz and a peak transmission power of about - 2.5 dB. While changing the applied magnetic field from 2300 Oe to 2700 Oe, the measured pass band of NRIM shift from 8.42 GHz to 9.50 GHz with a 2.7 MHz/Oe step. The results open a sample way to fabricate the NRIM, further, the metamaterial cloak and absorber. 展开更多
关键词 METAMATERIAL NEGATIVE Refractive Index TUNABILITY low-loss BROADBAND
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Low-Loss Co<sub>2</sub>-Y Ferrites with Added CuO Sintered in Air for High Frequency Application
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作者 Shigeo Fujii Koji Wakamatsu +1 位作者 Hiroshi Satoh Setsuo Yamamoto 《Materials Sciences and Applications》 2014年第13期984-989,共6页
The sintering characteristics of hexagonal Co2-Y-type ferrite, Ba2Co2Fe12O22, with the addition of 0.6 wt% CuO, were studied in order to allow for preparation in air, as opposed to the conventionally recommended O2, f... The sintering characteristics of hexagonal Co2-Y-type ferrite, Ba2Co2Fe12O22, with the addition of 0.6 wt% CuO, were studied in order to allow for preparation in air, as opposed to the conventionally recommended O2, for industrial production. The dependence of the resistivity, ρ magnetic loss, tanδ, and the permeability, μ, at 1 GHz on the sintering temperature was investigated. A low tanδ of 0.05 with a m of 2.7 at a frequency of 1 GHz, along with a high ρ (up to 7 × 104 μm), were attained under sintering at 1170°C in air, which were the same features as those of samples sintered at 1200°C in O2. The dependence of tanδ on grain diameter was also examined, and it was determined that a small grain size (less than 2 μm) is preferable for low tanδ. 展开更多
关键词 FERRITE HEXAGONAL Y-Type Sintering Low Loss
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一种自注意力模块的低精度损失量化方法
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作者 林德铝 何琨 《计算机研究与发展》 北大核心 2026年第1期162-175,共14页
随着深度学习技术的飞速进步和对海量数据集的持续发掘,自注意力模块在自然语言处理、计算机视觉以及大语言模型等多个领域得到了广泛应用。尽管自注意力模块显著提升了深度学习模型的检测精度,其巨大的计算需求却使得其在算力受限的计... 随着深度学习技术的飞速进步和对海量数据集的持续发掘,自注意力模块在自然语言处理、计算机视觉以及大语言模型等多个领域得到了广泛应用。尽管自注意力模块显著提升了深度学习模型的检测精度,其巨大的计算需求却使得其在算力受限的计算设备上部署显得尤为困难。整数量化作为在低算力计算芯片中部署模型的关键技术之一,面临着由自注意力模块结构特点引起的较高精度损失问题。针对这个问题,对自注意力模块的整数量化误差进行了深入分析,提出了伪softmax向量量化方法和分块伪softmax向量量化方法。所提出方法通过对自注意力模块中的softmax向量进行特殊的整数量化,旨在显著提升推理速度的同时,有效降低整数量化带来的误差。实验结果表明,相比于传统的直接量化方法,伪softmax向量量化方法能够将量化精度损失降低50%,而分块伪softmax向量量化方法更是能将精度损失减少约90%。该结果充分证明了这2种量化方法在减少精度损失方面的有效性,为自注意力模块在算力受限设备上的高效部署提供了有力支持。 展开更多
关键词 模型量化 自注意力模块 低精度损失 推理加速 分治
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Hot-wire chemical vapor deposition low-loss hydrogenated amorphous silicon waveguides for silicon photonic devices 被引量:1
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作者 SWE Z.OO ANTULIO TARAZONA +6 位作者 ALI Z.KHOKHAR RAFIDAH PETRA YOHANN FRANZ GORAN Z.MASHANOVICH GRAHAM T.REED ANNA C.PEACOCK HAROLD M.H.CHONG 《Photonics Research》 SCIE EI CSCD 2019年第2期193-200,共8页
We demonstrate low-loss hydrogenated amorphous silicon(a-Si:H) waveguides by hot-wire chemical vapor deposition(HWCVD). The effect of hydrogenation in a-Si at different deposition temperatures has been investigated an... We demonstrate low-loss hydrogenated amorphous silicon(a-Si:H) waveguides by hot-wire chemical vapor deposition(HWCVD). The effect of hydrogenation in a-Si at different deposition temperatures has been investigated and analyzed by Raman spectroscopy. We obtained an optical quality a-Si:H waveguide deposited at 230°C that has a strong Raman peak shift at 480 cm^(-1), peak width(full width at half-maximum) of 68.9 cm^(-1), and bond angle deviation of 8.98°. Optical transmission measurement shows a low propagation loss of 0.8 dB/cm at the1550 nm wavelength, which is the first, to our knowledge, report for a HWCVD a-Si:H waveguide. 展开更多
关键词 HOT-WIRE low-loss AMORPHOUS
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Low-Loss Fiber De-Multiplexers
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作者 Nan-Kuang Chen Sien Chi Shiao-Min Tseng 《光学学报》 EI CAS CSCD 北大核心 2003年第S1期127-128,共2页
Reported are fiber de-multiplexers based on side-polished fibers with a long interaction length and intra-core fiber Bragg gratings. In conjunction with the silicon processing technologies, we demonstrate fiber filter... Reported are fiber de-multiplexers based on side-polished fibers with a long interaction length and intra-core fiber Bragg gratings. In conjunction with the silicon processing technologies, we demonstrate fiber filters and advantages of our approaches are addressed. 展开更多
关键词 were BE DE on into low-loss Fiber De-Multiplexers of LENGTH
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LOOKNoC: a low-loss, non-blocking, scalable passive optical interconnect network-on-chip architecture
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作者 Deng Junyong Wu Haoyue +2 位作者 Luo Jiaying Shan Rui Liu Xinchuang 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2021年第1期94-106,共13页
Low-loss, non-blocking, scalable passive optical interconnect network on-chip(LOOKNoC) structure was proposed based on 2×2 optical exchange switches, using wavelength division multiplexing(WDM)technology to expan... Low-loss, non-blocking, scalable passive optical interconnect network on-chip(LOOKNoC) structure was proposed based on 2×2 optical exchange switches, using wavelength division multiplexing(WDM)technology to expand to 8×8, 16×16, 32×32, 64×64 passive optical interconnection networks, which can achieve non-blocking communication. The experimental results show that based on the 16×16 optical interconnection network structure, the number of microring resonators(MRs) in LOOKNoC was reduced by 90.9%, 90.9%, 20.0% and 75.0% compared with the generic wavelength-routed optical router(GWOR), λ-router, topology and CrossBar structure. By testing the performance parameters based on the structure of 16×16 by the OMNET++ platform, as the result shows, the average insertion loss of LOOKNoC is 3.0%, 11.6%, 4.8% and 16.7% less than that of GWOR, λ-router, Mesh, and CrossBar structures. 展开更多
关键词 NETWORK-ON-CHIP passive optical interconnect wavelength division multiplexing low-loss NON-BLOCKING SCALABLE
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LV-YOLO:面向低可见度场景的目标检测优化算法
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作者 王帅 丁其川 任帅 《电光与控制》 北大核心 2026年第1期44-50,共7页
低可见度场景中,图像质量下降不仅降低了特征与背景之间的可分辨性,还容易引发定位不准、类别混淆等问题,为此,提出了一种改进YOLOv11的目标检测算法。首先,构建多尺度注意力融合模块MulSimAM,用于增强模型对关键区域的特征提取能力;然... 低可见度场景中,图像质量下降不仅降低了特征与背景之间的可分辨性,还容易引发定位不准、类别混淆等问题,为此,提出了一种改进YOLOv11的目标检测算法。首先,构建多尺度注意力融合模块MulSimAM,用于增强模型对关键区域的特征提取能力;然后,设计动态特征融合模块DyPSA,以替代原有C2PSA结构,通过联合动态通道混合与空间注意力机制,提升了模型对不同区域特征的自适应感知能力;最后,提出了定位精度优化损失EnSIoU,结合尺度自适应距离调节、纵横比一致性约束与加权融合机制,提升物体在低可见度场景中的定位精度。实验结果表明,改进后的算法在自建的低可见度场景目标检测数据集上的mAP、准确率和召回率方面取得了更优表现,同时,消融实验表明,两个模块改进以及损失函数优化均在低可见度场景图像中表现出更强的目标检测能力。 展开更多
关键词 目标检测 低可见度 YOLOv11 注意力机制 损失函数
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A low-loss V-groove coplanar waveguide on an SOI substrate
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作者 赵宇航 童家榕 +1 位作者 曾璇 王勇 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2009年第7期51-53,共3页
A novel low-loss 50-Ω coplanar waveguide with V-groove on an SOI substrate is proposed.Through a CMOS-compatible process and anisotropic etching of silicon, surface silicon is removed from the SOI.The measured result... A novel low-loss 50-Ω coplanar waveguide with V-groove on an SOI substrate is proposed.Through a CMOS-compatible process and anisotropic etching of silicon, surface silicon is removed from the SOI.The measured results show that the V-groove coplanar waveguide causes about 50% less loss than the conventional one at a high frequency of up to 40 GHz. 展开更多
关键词 SOI coplanar waveguide low loss radio frequency
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组合式柔性低损玉米摘穗装置的设计与仿真分析 被引量:1
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作者 屈哲 邵海昊 +5 位作者 王喜龙 乐金涛 赵慧慧 王万章 张红梅 杨立权 《农机化研究》 北大核心 2025年第8期17-24,共8页
探究了柔性低损玉米摘穗装置和不同参数的浮动弹簧在摘穗过程中对玉米果穗受力的影响,旨在降低摘穗板与拉茎辊组合式摘穗装置在收获过程中造成的玉米果穗的损伤和损失。通过分析摘穗过程中玉米果穗的受力情况,发现弹簧刚度系数和阻尼系... 探究了柔性低损玉米摘穗装置和不同参数的浮动弹簧在摘穗过程中对玉米果穗受力的影响,旨在降低摘穗板与拉茎辊组合式摘穗装置在收获过程中造成的玉米果穗的损伤和损失。通过分析摘穗过程中玉米果穗的受力情况,发现弹簧刚度系数和阻尼系数对果穗受力有显著影响。同时,研究了玉米果穗与茎秆的物理力学特性,提出了采用组合式柔性毛刷、被动式浮动摘穗板、分段式摘穗板和摘穗板间隙自适应调节装置的设计方案。利用ADAMS软件进行虚拟运动仿真试验,分析了不同弹簧刚度系数和阻尼系数对玉米果穗与摘穗板碰撞力的影响,并将仿真结果导入Design-Expert中得到最优参数组合。通过计算可知:当浮动弹簧刚度系数为56.25 N/m、阻尼系数为33.5 N·s/m时,玉米果穗与摘穗板的碰撞力最小,为1040.11 N。研究结果表明:通过改变玉米摘穗装置的结构和将部分装置柔性化,可以有效减小玉米果穗与摘穗板碰撞的瞬间力,减少玉米果穗收获过程中的损伤与损失,从而为低损玉米摘穗装置的研发提供研究依据和理论参考。 展开更多
关键词 玉米 摘穗装置 柔性 低损 ADAMS仿真
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基于改进YOLOv8模型的交通标志检测方法 被引量:1
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作者 余荣威 张逸轩 +1 位作者 曹书明 王丽娜 《武汉大学学报(理学版)》 北大核心 2025年第4期453-462,共10页
当前交通标志检测方法主要依赖单阶段深度学习算法构建的目标检测模型,存在检测精度低、模型通用性弱等问题。为解决这类问题,提出一种基于改进YOLOv8模型的交通标志检测方法。该方法通过引入基于注意尺度序列融合的机制,提升了神经网... 当前交通标志检测方法主要依赖单阶段深度学习算法构建的目标检测模型,存在检测精度低、模型通用性弱等问题。为解决这类问题,提出一种基于改进YOLOv8模型的交通标志检测方法。该方法通过引入基于注意尺度序列融合的机制,提升了神经网络对于多尺度信息的提取能力;通过增加小目标检测层,使得方法更适用于小目标检测;采用RT-DETR的检测头,通过解耦尺度内交互和跨尺度融合高效处理多尺度特征。此外,为了克服现有交通标志检测方法在弱泛化方面的局限性,提高包围盒回归的准确性和效率,采用一种全新的损失函数inner-mpdiou,有效提高了模型的训练效率和精度。基于清华-腾讯100K(TT100K)数据集的实验结果表明:在保证实时性的前提下,该方法平均精度高达84.0%,相较于目前国际主流YOLOv8模型,提高了7.1%,整体模型大小降低了12.9%,提升了低分辨小目标检测有效性。 展开更多
关键词 小目标检测 交通标志检测 YOLOv8 低分辨率 损失函数
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基于CDD-YOLO的轻量级低光照目标检测算法 被引量:5
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作者 史丽晨 杨超 +1 位作者 刘雪超 周星宇 《计算机工程与应用》 北大核心 2025年第6期106-117,共12页
针对低照度场景下目标检测算法面临的检测精度不高、计算成本以及内存消耗大等问题,提出一种改进YOLOv8的轻量级低光照目标检测网络模型CDD-YOLO。提出一个基于坐标注意力机制的多尺度卷积模块,提取不同感受野纹理特征并捕获空间位置之... 针对低照度场景下目标检测算法面临的检测精度不高、计算成本以及内存消耗大等问题,提出一种改进YOLOv8的轻量级低光照目标检测网络模型CDD-YOLO。提出一个基于坐标注意力机制的多尺度卷积模块,提取不同感受野纹理特征并捕获空间位置之间的远程依赖关系;将动态头部框架集成到检测头中,减少复杂背景和尺度变化的干扰;基于动态非单调聚焦机制设计边界框回归损失函数,提升锚框回归路径和质量,提高模型对光照变化和噪声的适应能力;通过剪枝算法修剪模型中的冗余参数,实现模型轻量化。采用自建数据集、ExDark和VOC数据集进行实验验证,实验结果表明该方法与主流算法相比具有更好的检测效果,在计算复杂度与检测精度之间实现了更好的平衡。 展开更多
关键词 低照度 YOLOv8 注意力机制 损失函数 轻量化网络
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一种基于相位调制的低损耗1-bit透射型智能超表面设计
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作者 程强 李苗 +4 位作者 吴利杰 刘硕 张雁茗 戴俊彦 崔铁军 《东南大学学报(自然科学版)》 北大核心 2025年第4期1182-1188,共7页
针对透射型智能超表面(RIS)在6G通信中面临的高损耗与相位调控受限问题,设计了一种低损耗、宽频带1‐bit透射型RIS,以突破现有技术中透射效率低与带宽窄的瓶颈。提出基于双PIN二极管协同调控的相位调制单元,采用H形金属贴片与抑制电磁... 针对透射型智能超表面(RIS)在6G通信中面临的高损耗与相位调控受限问题,设计了一种低损耗、宽频带1‐bit透射型RIS,以突破现有技术中透射效率低与带宽窄的瓶颈。提出基于双PIN二极管协同调控的相位调制单元,采用H形金属贴片与抑制电磁耦合的直流馈电结构,集成2个PIN二极管(MADP‐000907‐14020)构建双向导通机制,实现180°相位反转,并基于此设计10×10的超表面阵列。仿真结果表明,该超表面单元在6.00~7.23 GHz的范围内透射系数大于-3 dB,6.6 GHz处透射系数高达-0.58 dB,反射系数为-20.74 dB,实现了透射低损耗设计。测试结果表明,该超表面阵列具有波束聚焦功能,且同时可以实现0°~30°的波束扫描。在6.6 GHz实现波束聚焦增益9.14 dBi,较馈源天线提升约1 dB,3 dB波束宽度收窄至10°,角度偏差小于3°。通过双PIN调控架构与阻抗匹配优化,在透射损耗(-0.58 dB)、工作带宽(18.59%)及波束精度(偏差小于3°)方面均优于同类研究,为6G高能效中继与室内分布系统提供了硬件支撑。 展开更多
关键词 低损耗 1‐bit 透射超表面 波束聚焦 波束扫描
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马铃薯收获机低损阶梯式提升装置设计与试验
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作者 潘志国 慕杰 +6 位作者 杨然兵 张还 吴洪珠 杨德秋 邓志熙 胡卓凡 舒亚龙 《农业机械学报》 北大核心 2025年第10期375-385,共11页
针对丘陵山区马铃薯联合收获机提升行程长而导致伤薯率高的问题,结合丘陵山区收获模式,设计了一款马铃薯联合收获机低损阶梯式提升装置。在阐述总体结构及工作原理基础上,结合马铃薯抛落和提升过程分析,得到影响薯块损伤的关键因素。通... 针对丘陵山区马铃薯联合收获机提升行程长而导致伤薯率高的问题,结合丘陵山区收获模式,设计了一款马铃薯联合收获机低损阶梯式提升装置。在阐述总体结构及工作原理基础上,结合马铃薯抛落和提升过程分析,得到影响薯块损伤的关键因素。通过RecurDyn-EDEM耦合仿真模型,单因素试验得到柔性板与提升输送带间的夹角为86°,以薯土分离装置末端的喂入量、薯土分离装置运行速度和低损阶梯式提升装置运行速度为试验因素,以马铃薯最大碰撞力为评价指标,运用Box-Behnken中心组合设计方法进行仿真试验,对试验结果进行方差分析,利用响应面分析了交互因素对试验指标的影响规律,确定影响因素的最佳取值。验证试验表明,当收获机柔性板与提升输送带间夹角为86°、喂入量为12.9 t/h、分离装置运行速度为0.96 m/s、提升装置运行速度为0.96 m/s时,电子马铃薯碰撞加速度峰值平均值为371.04 m/s^(2),最大平均碰撞受力为61.222 N,与参数优化后试验结果相差1.92 N,平均伤薯率为1.11%,均满足相关标准。 展开更多
关键词 马铃薯收获机 提升装置 低损 丘陵山区
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深度学习驱动的OFDM索引调制信号检测
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作者 王婵飞 杨婧 +1 位作者 许亚美 何继爱 《计算机科学》 北大核心 2025年第S1期792-797,共6页
在探讨正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统的优化中,一个显著挑战在于其信号检测性能的相对不足。同时,针对基于深度神经网络的索引调制(Deep Neural Network Based Index Modulation,DNN-IM)检测算法... 在探讨正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统的优化中,一个显著挑战在于其信号检测性能的相对不足。同时,针对基于深度神经网络的索引调制(Deep Neural Network Based Index Modulation,DNN-IM)检测算法,普遍存在着误码率及损失值偏高的问题。为了弥补上述难题,文中提出一种基于多层感知机(Multilayer Perceptron,MLP)的索引调制检测算法,即MLP-IM算法。该算法采用融合两个连接层与一个输出层的架构设计,通过挑选的激活函数实现对OFDM索引调制系统中数据比特的精准还原。首先将OFDM索引调制系统的基础理论巧妙应用于数据的预处理阶段,随后利用仿真数据集对MLP神经网络模型进行全面而深入的离线训练,确保模型的稳健性与准确性。在检测阶段,通过MLP-IM检测算法实现了对OFDM索引调制系统的高效检测。仿真结果表明,所提出的MLP-IM算法在误码率控制和损失值两个方面的性能表现与最大似然检测算法相媲美,甚至在某些场景下超越了现有DNN-IM算法的性能,其性能改善幅度在0.2~6 dB的区间内。 展开更多
关键词 正交频分复用(OFDM) 索引调制 信号检测 深度学习 低损失值
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