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Denoising Stochastic Progressive Photon Mapping Renderings Using a Multi-Residual Network

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Journal of Computer Science & Technology 2020年第3期35卷 506-521页

作者： Zheng Zeng Lu Wang Bei-Bei Wang Chun-meng kang Yan-Ning Xu School of Software Shandong UniversityJinan 250101China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Information Science and Engineering Shandong Normal UniversityJinan 250358China

Stochastic progressive photon mapping(SPPM)is one of the important global illumination methods in computer *** can simulate caustics and specular-diffuse-specular lighting effects ***,as a biased method,it always suffers from both bias and variance with limited iterations,and the bias and the variance bring multi-scale noises into SPPM *** learning-based methods have shown great advantages on denoising unbiased Monte Carlo(MC)methods,but have not been leveraged for biased *** this paper,we present the first learning-based method specially designed for denoising-biased SPPM ***,to avoid conflicting denoising constraints,the radiance of final images is decomposed into two components:caustic and *** two components are then denoised separately via a two-network *** each network,we employ a novel multi-residual block with two sizes of filters,which significantly improves the model’s capabilities,and makes it more suitable for multi-scale noises on both low-frequency and high-frequency *** also present a series of photon-related auxiliary features,to better handle noises while preserving illumination details,especially *** with other state-of-the-art learning-based denoising methods that we apply to this problem,our method shows a higher denoising quality,which could efficiently denoise multi-scale noises while keeping sharp illuminations.

关键词： denoising stochastic progressive photon mapping(SPPM) deep learning residual neural network

The unique magnetic damping enhancement in epitaxial Co2Fe1-xMnxAl films

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Chinese Physics B 2019年第9期28卷 332-337页

作者： Shu-Fa Li Chu-Yuan Cheng kang-kang meng Chun-Lei Chen College of Electronics and Information Engineering Guangdong Ocean UniversityZhanjiang 524000China State-Key Laboratory of Optoelectronic Materials and Technologies School of PhysicsSun Yat-Sen UniversityGuangzhou 510275China State Key Laboratory for Superlattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China

Uniform precession dynamics and its magnetic damping are investigated in epitaxial Co2Fe1-xMnxAl films by using the time-resolved magneto-optical Kerr effect under out-of-plane *** decay time of uniform precession mode decreases, and thus the magnetic damping increases with the increase of external ***, the decay time decreases as x decreases, so that the enhancement of magnetic damping occurs in Fe-rich ***, the decay time decreases as the excitation fluence increases, which drops rapidly at low magnetic field comparing with the slow reduction at high magnetic *** unique magnetic damping enhancement is attributed to the enhancement of homogeneous magnetization.

关键词： ultrafast dynamics pump-probe magnetic damping Heusler alloy

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小样本数据的喷墨打印墨滴状态预测方法

印刷与数字媒体技术研究 2024年第4期 211-217页

作者：程晓鼎周耀鉴张惠娟康梦娇周垚宇中北大学软件学院太原030051 山西师范大学物理与信息工程学院太原031000 天津大学智能与计算学部天津300354

在高精密电子器件喷墨打印制造过程中,墨滴状态的精确控制对器件的性能至关重要。然而,获取大量的墨滴状态数据费时费力,因此,本研究提出一种基于小样本数据的喷墨打印墨滴状态预测方法。首先采用单级梯形波驱动喷头,通过改变驱动电压... 详细信息

在高精密电子器件喷墨打印制造过程中,墨滴状态的精确控制对器件的性能至关重要。然而,获取大量的墨滴状态数据费时费力,因此,本研究提出一种基于小样本数据的喷墨打印墨滴状态预测方法。首先采用单级梯形波驱动喷头,通过改变驱动电压幅值与持续时间产生不同状态的墨滴作为样本数据;然后对样本数据进行预处理后采用支持向量机(Support Vector Machine,SVM)、反向传播神经网络(Back Propagation Neural Network,BPNN)、决策树(Decision Tree,DT)、随机森林(Random Forest,RF)和极限梯度提升(Extreme Gradient Boosting,XGBoost)等五种方法对墨滴状态进行预测。实验结果表明XGBoost方法在小样本情况下具有较大优势,其平均绝对误差、均方根误差和平均绝对百分比误差分别为0.088、0.123和1.85%,均为五种方法中最优,可将其作为一种小样本数据的喷墨打印墨滴状态预测方法。

关键词：小样本印制电子墨滴状态极限梯度提升

煤层群下行开采底板应力演化规律与合理巷道错距研究

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西安科技大学学报 2024年第2期44卷 213-225页

作者：丁自伟巩欣伟张杰李宇龙蔡敏博姬东康萌西安科技大学能源学院陕西西安710054 陕西陕煤韩城矿业有限公司陕西韩城715400

为解决近距离煤层开采遗留煤柱下伏回采巷道合理布置工程问题,采用理论分析、数值模拟和现场实测相结合的方法,基于半无限平面体理论建立遗留煤柱底板岩层应力分布力学模型,系统研究了遗留煤柱下伏底板岩层应力分布特征及减压区相对位... 详细信息

为解决近距离煤层开采遗留煤柱下伏回采巷道合理布置工程问题,采用理论分析、数值模拟和现场实测相结合的方法,基于半无限平面体理论建立遗留煤柱底板岩层应力分布力学模型,系统研究了遗留煤柱下伏底板岩层应力分布特征及减压区相对位置关系,提出遗留煤柱非均布载荷影响的底板水平/垂向距离判别方法,揭示了遗留煤柱水平/垂向间距对下伏煤层回采巷道应力变化率的影响程度。结果表明:垂直应力集中是导致下伏巷道失稳的主控因素,以垂直应力变化量0.2γH作为评判应力影响程度的临界指标,探究了不同因素影响下的应力扰动程度,随着遗留煤柱尺寸、煤层间距、埋深与岩层垮落角逐渐减小,底板岩层应力影响深度呈递减趋势;随着水平错距增大,巷道围岩垂直应力值、应力变化率差值不断减小,界定两者数值低于0.2γH与0.01时,围岩达到可控稳定状态;现场试验21320回风巷采用外错式25 m进行实测验证,优化布置后巷道顶板相对位移量控制在45 mm以内,服务期间巷道围岩工况稳定,验证了所得安全错距的合理性。

关键词：近距离煤层遗留煤柱非均布载荷集中应力应力变化率合理巷道错距

Robust interface-induced unusual anomalous Hall effect in Mn_(3)Sn/Pt bilayers

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Rare Metals 2022年第9期41卷 3012-3018页

作者： Jun-Jie Liu kang-kang meng Ji-Kun Chen Yong Wu Jun Miao Xiao-Guang Xu Yong Jiang School of Materials Science and Engineering University of Science and Technology BeijingBeijing100083China

Interface-driven magnetic phenomena related to spin-orbit coupling and intrinsic symmetry breaking are of great significance to the development of spintronics materials and ***_(3)Sn is a natural antiferromagnetic material with a non-collinear magnetic structure,and its anomalous Hall effect(AHE)has been reported to have high crystal anisotropy and temperature dependent ***,a large unusual anomalous Hall effect(UAHE)in the(0001)c-axis orientation Mn_(3)Sn/Pt bilayers in the whole temperature range from 5 to 300 K is reported,which is absent in single MnSn film.

关键词： film. unusual effect

Leveraging Continuous Prompt for Few-Shot Named Entity Recognition in Electric Power Domain with Meta-Learning

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Data Intelligence 2023年第2期5卷 494-509页

作者： Yang Yu Wei He Yu-meng kang You-lang Ji Metrology Center State Grid Jiangsu Market Service Center Nanjing Jiangsu 210019China

Conventional named entity recognition methods usually assume that the model can be trained with sufficient annotated data to obtain good recognition ***,in Chinese named entity recognition in the electric power domain,existing methods still face the challenges of lack of annotated data and new entities of unseen *** address these challenges,this paper proposes a meta-learning-based continuous cue adjustment method.A generative pre-trained language model is used so that it does not change its own model structure when dealing with new entity *** guide the pre-trained model to make full use of its own latent knowledge,a vector of learnable parameters is set as a cue to compensate for the lack of training *** order to further improve the model's few-shot learning capability,a meta-learning strategy is used to train the *** results show that the proposed approach achieves the best results in a few-shot electric Chinese power named entity recognition dataset compared to several traditional named entity approaches.

关键词： Named Entity Recognition Pre-trained model Prompt-Tuning Meta-Learning Few-Shot

秸秆施用下减施氮肥稻田有机碳和氮磷的排放特征

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生态与农村环境学报 2024年第8期40卷 1102-1112页

作者：赵家阳于建光于孟康王宁郭智薛利红杨林章江苏大学环境与安全工程学院江苏镇江212001 江苏省农业科学院农业资源与环境研究所江苏南京210014 农业农村部长江下游平原农业环境重点实验室江苏南京210014

为了解秸秆施用下减施氮肥对稻田有机碳和氮磷排放特征的影响,进而为稻田投入品的优化施用以及田间养分管理提供技术支撑,通过盆钵试验研究小麦秸秆还田与肥料施用对高砂土和黄泥土2种土壤的田面水有机碳和氮磷浓度、潜在可排放量及水... 详细信息

为了解秸秆施用下减施氮肥对稻田有机碳和氮磷排放特征的影响,进而为稻田投入品的优化施用以及田间养分管理提供技术支撑,通过盆钵试验研究小麦秸秆还田与肥料施用对高砂土和黄泥土2种土壤的田面水有机碳和氮磷浓度、潜在可排放量及水稻产量的影响。结果表明,高砂土稻田的田面径流养分排放风险远大于黄泥土,其中基肥期更为明显;磷在基肥期田面径流中的排放风险最大,施加秸秆处理的有机碳在蘖肥期田面径流中的排放风险最大,而氮在穗肥期的排放风险最大;无论高砂土还是黄泥土,秸秆施用基础上,相比施用常量氮肥,施用减量氮肥在保证产量不受明显影响的同时,可以有效降低田面径流养分排放风险。在小麦秸秆还田条件下,施用减量氮肥与常量氮肥相比,高砂土稻田田面水的COD、DOC、TN和TP平均可排放量分别降低34.92%、15.47%、35.37%和53.93%,水稻产量降低12.01%,黄泥土稻田田面水的COD、TN和TP平均可排放量分别降低24.82%、23.75%、2.84%,而水稻产量提高3.99%。总之,秸秆还田时减施氮肥利于降低高砂土和黄泥土田面水COD、TN、NH_(4)^(+)-N和NO_(3)^(-)-N的潜在排放风险,以稳定水稻产量和防控稻田养分田面径流流失为目标,高砂土稻田在水稻种植时氮肥施用应减量多次,并避免小麦秸秆还田,而黄泥土稻田在氮肥施用时应混施秸秆。

关键词：稻田秸秆减施氮肥田面水有机碳氮磷

环境污染对土壤微生物多样性的影响及生态修复技术探讨

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皮革制作与环保科技 2024年第16期5卷 136-138页

作者：康蒙孙翠平王倩韩子叻山东省生态环境规划研究院(国家环境保护陆海统筹生态治理与系统调控重点实验室) 山东济南250101

环境污染对土壤微生物多样性构成严重威胁,土壤微生物多样性在生态系统功能中发挥着至关重要的作用,所以了解污染物对土壤微生物多样性的影响,对于设计有效的生态修复技术至关重要。本文重点探讨了影响土壤微生物的污染物类型、改变机... 详细信息

环境污染对土壤微生物多样性构成严重威胁,土壤微生物多样性在生态系统功能中发挥着至关重要的作用,所以了解污染物对土壤微生物多样性的影响,对于设计有效的生态修复技术至关重要。本文重点探讨了影响土壤微生物的污染物类型、改变机制、对生态系统功能的影响以及常见的生态修复技术,如植物修复、生物修复、土壤改良、人工湿地、土地复垦和恢复等。优先通过自然过程恢复土壤健康和生物多样性,可以减轻污染的不利影响并提高环境复原力。

关键词：环境污染土壤微生物多样性生态修复技术

Enhanced potassium storage of carbon nanofibers as binderfree anodes enabled by coupling ultra-small amorphous Sb_(2)O_(3),graphene modification and sulfur doping

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Rare Metals 2024年第1期43卷 51-64页

作者： Zhao Huang Yu-kang Lou Lin Peng Yuan Peng meng-meng Wang Ming Zhang College of Railway Transportation Hunan University of TechnologyZhuzhou 412007China College of Semiconductors(College of Integrated Circuits) Changsha Semiconductor Technology and Application Innovation Research InstituteHunan UniversityChangsha 410082China Key Laboratory for Micro-Nano Optoelectronic Devices of Ministry of Education College of Semiconductors(College of Integrated Circuits)Hunan UniversityChangsha 410082China

Considering the intrinsic advantages of natural copiousness and cost-effectiveness of potassium resource,potassium-ion batteries(KIBs) are booming as prospective alternatives to lithium-ion batteries(LIBs) in large-scale energy storage scenarios. Nevertheless, lacking desirable electrodes for reversibly hosting the bulky K+hinders the widespread application of KIBs, and it needs to be urgently solved. Hereon, the porous S-doped Sb_(2)O_(3)-graphene-carbon(SAGC) nanofibers are manufactured through an adjustable and facile approach, which involves electrospinning, in situ etching and sulfuration. The synthesized SAGC is featured by the ultra-small amorphous Sb_(2)O_(3) homogeneously wrapped inside the carbon matrix, as well as the co-incorporation of graphene and sulfur. Tentatively,the SAGC nanofiber sheets are applied as binder-free anodes for KIBs, exhibiting a prominent cycling life(256.72 m Ah·g^(-1) over 150 cycles at 100 m A·g^(-1)) and rate·g^(-1) over 100 cycles at 1 A·g^(-1)). The positive synergy among all the active components accounts for the distinguished performances of the SAGC. By reinforcing the tolerability to the swelling stress, producing the valid electrochemical active sites, and promoting the charge transferring for reversible K+uptake, the SAGC finally renders the excellent cyclability, capacity, and rate capability. Moreover, the extrinsic electrochemical pseudocapacitance characteristics induced by the porous carbon substrate elevate the K-storage capacity of the SAGC as well. It is hoped that the conclusions drawn may offer new insights into a direction for the high-performance binderfree KIB anodes.

关键词： S-doped Sb_(2)O_(3)-graphene-carbon Nanofibers Binder-free Anodes Potassium-ion batteries