Multi-group pin power reconstruction method based on colorset form functions

A multi-group pin power reconstruction method that fully exploits nodal information obtained from global coarse mesh solution has been developed.It expands the intra-nodal flux distributions into nonseparable semi-analytic basis functions,and a colorset based form function generating method is proposed,which can accurately model the spectral interaction occurring at assembly interface.To demonstrate its accuracy and applicability to realistic problems, the new method is tested against two benchmark problems,including a mixed-oxide fuel problem.The results show that the new method is comparable in accuracy to fine-mesh methods.

Multi-type sensor placement and response reconstruction for building structures: Experimental investigations

Estimation of lateral displacement and acceleration responses is essential to assess safety and serviceability of high-rise buildings under dynamic loadings including earthquake excitations. However, the measurement information from the limited number of sensors installed in a building structure is often insufficient for the complete structural performance assessment. An integrated multi-type sensor placement and response reconstruction method has thus been proposed by the authors to tackle this problem. To validate the feasibility and effectiveness of the proposed method, an experimental investigation using a cantilever beam with multi-type sensors is performed and reported in this paper. The experimental setup is first introduced. The finite element modelling and model updating of the cantilever beam are then performed. The optimal sensor placement for the best response reconstruction is determined by the proposed method based on the updated FE model of the beam. After the sensors are installed on the physical cantilever beam, a number of experiments are carried out. The responses at key locations are reconstructed and compared with the measured ones. The reconstructed responses achieve a good match with the measured ones, manifesting the feasibility and effectiveness of the proposed method. Besides, the proposed method is also examined for the cases of different excitations and unknown excitation, and the results prove the proposed method to be robust and effective. The superiority of the optimized sensor placement scheme is finally demonstrated through comparison with two other different sensor placement schemes： the accelerometer-only scheme and non-optimal sensor placement scheme. The proposed method can be applied to high-rise buildings for seismic performance assessment.

RECONSTRUCTION OF ONE DIMENSIONAL MULTI-LAYERED MEDIA BY USING A TIME DOMAIN SIGNAL FLOW GRAPH TECHNIQUE

A novel inverse scattering method to reconstruct the permittivity profile of one-dimensional multi-layered media is proposed in this paper.Based on the equivalent network ofthe medium,a concept of time domain signal flow graph and its basic principles are introduced,from which the reflection coefficient of the medium in time domain can be shown to be a series ofDirac δ-functions(pulse responses).In terms of the pulse responses,we will reconstruct both thepermittivity and the thickness of each layer will accurately be reconstructed.Numerical examplesverify the applicability of this

Multi-polarization reconstruction from compact polarimetry based on modified four-component scattering decomposition

An improved algorithm for multi-polarization reconstruction from compact polarimetry （CP） is proposed. According to two fundamental assumptions in compact polarimetric reconstruction, two improvements are proposed. Firstly, the four-component model-based decomposition algorithm is modified with a new volume scattering model. The decomposed helix scattering component is then used to deal with the non-reflection symmetry condition in compact polarimetric measurements. Using the decomposed power and considering the scattering mechanism of each component, an average relationship between copolarized and crosspolarized channels is developed over the original polarization state extrapolation model. E-SAR polarimetric data acquired over the Oberpfaffenhofen area and JPL/AIRSAR polarimetric data acquired over San Francisco are used for verification, and good reconstruction results are obtained, demonstrating the effectiveness of the proposed algorithm.

Unprecedented Warming Revealed from Multi-proxy Reconstruction of Temperature in Southern China for the Past 160 Years

Using the southern limit of snowfall recorded in Chinese documents, chronologies of tree-ring width, and tree-ring stable oxygen isotope（δ^（18）O）, the annual temperature anomaly in southern China during 1850–2009 is reconstructed using the method of signal decomposition and synthesis. The results show that the linear trend was 0.47℃（100 yr）^（-1）over 1871–2009,and the two most rapid warming intervals occurred in 1877–1938 and 1968–2007, at rates of 0.125℃（10 yr）^（-1）and 0.258℃（10 yr）^（-1）, respectively. The decadal variation shows that the temperature in the moderate warm interval of the 1910s–1930s was notably lower than that of the 1980s–2000s, which suggests that the warming since the 1980s was unprecedented for the past 160 years, though a warming hiatus existed in the 2000s. Additionally, there was a rapid cooling starting from the 1860s,followed by a cold interval until the early 1890s, with the coldest years in 1892 and 1893. A slight temperature decline was also found from the 1940s to the late 1960s. This study provides an independent case to validate the global warming for the past 160 years and its hiatus recently, because the proxy data are not affected by urbanization.

OMP-BASED MULTI-BAND SIGNAL RECONSTRUCTION FOR ECOLOGICAL SOUNDS RECOGNITION

The paper proposes a new method of multi-band signal reconstruction based on Orthogonal Matching Pursuit(OMP),which aims to develop a robust Ecological Sounds Recognition(ESR)system.Firstly,the OMP is employed to sparsely decompose the original signal,thus the high correlation components are retained to reconstruct in the first stage.Then,according to the frequency distribution of both foreground sound and background noise,the signal can be compensated by the residual components in the second stage.Via the two-stage reconstruction,high non-stationary noises are effectively reduced,and the reconstruction precision of foreground sound is improved.At recognition stage,we employ deep belief networks to model the composite feature sets extracted from reconstructed signal.The experimental results show that the proposed approach achieved superior recognition performance on 60 classes of ecological sounds in different environments under different Signal-to-Noise Ratio(SNR),compared with the existing method.

Micromorphological characterization and random reconstruction of 3D particles based on spherical harmonic analysis

The microscopic characteristics of skeletal particles in rock and soil media have important effects on macroscopic mechanical properties. A mathematical procedure called spherical harmonic function analysis was here developed to characterize micromorphology of particles and determine the meso effects in a discrete manner. This method has strong mathematical properties with respect to orthogonality and rotating invariance. It was used here to characterize and reconstruct particle micromorphology in three-dimensional space. The applicability and accuracy of the method were assessed through comparison of basic geometric properties such as volume and surface area. The results show that the micromorphological characteristics of reproduced particles become more and more readily distinguishable as the reproduced order number of spherical harmonic function increases, and the error can be brought below 5% when the order number reaches 10. This level of precision is sharp enough to distinguish the characteristics of real particles. Reconstructed particles of the same size but different reconstructed orders were used to form cylindrical samples, and the stress-strain curves of these samples filled with different-order particles which have their mutual morphological features were compared using PFC3D. Results show that the higher the spherical harmonic order of reconstructed particles, the lower the initial compression modulus and the larger the strain at peak intensity. However, peak strength shows only a random relationship to spherical harmonic order. Microstructure reconstruction was here shown to be an efficient means of numerically simulating of multi-scale rock and soil media and studying the mechanical properties of soil samples.

FAST ALGORITHM FOR NON-UNIFORMLY SAMPLED SIGNAL SPECTRUM RECONSTRUCTION

In this paper, a fast algorithm to reconstruct the spectrum of non-uniformly sampled signals is proposed. Compared with the original algorithm, the fast algorithm has a higher computational efficiency, especially when sampling sequence is long. Particularly, a transformation matrix is built, and the reconstructed spectrum is perfectly synthesized from the spectrum of every sampling channel. The fast algorithm has solved efficiency issues of spectrum reconstruction algorithm, and making it possible for the actual application of spectrum reconstruction algorithm in multi-channel Synthetic Aperture Radar (SAR).

基于Multi-Agent的航空集群系统重构机理研究

集群作战是未来空中作战的主要样式,其重构机理的研究对于提升航空集群执行任务的整体性能以及在遭受攻击时的生存能力具有重要作用。从作战任务层面出发,对集群系统重构的定义以及类型、触发机制和基本原则进行了分析阐述;借鉴博弈论理论,将航空集群系统分布式重构问题映射为多Agent之间的合作-竞争问题,建立了基于Multi-Agent的系统重构模型,给出了重构的流程与算法,为航空集群系统自适应重构能力的设计实现提供了理论技术支持。

一种基于Multi-Egocentric视频运动轨迹重建的多目标跟踪算法

Egocentric视频具有目标运动剧烈、遮挡频繁、目标尺度差异明显及视角时变性强的特点,给目标跟踪任务造成了极大的困难。本文从重建不同视角Egocentric视频中各目标的运动轨迹出发,提出一种基于Multi-Egocentric视频运动轨迹重建的多目标跟踪算法,该方法基于多视角同步帧之间的单应性约束解决目标遮挡和丢失问题,然后根据多视角目标空间位置约束关系通过轨迹重建进一步优化目标定位,并采用卡尔曼滤波构建目标运动模型优化目标运动轨迹,在BJMOT、EPLF-campus4数据集上的对比实验验证了本文算法在解决Multi-Egocentric视频多目标跟踪轨迹不连续问题的有效性。

Rectal cancer staging: Multidetector-row computed tomography diagnostic accuracy in assessment of mesorectal fascia invasion

AIM: To assess the diagnostic accuracy of multidetectorrow computed tomography(MDCT) as compared with conventional magnetic resonance imaging(MRI), in identifying mesorectal fascia(MRF) invasion in rectal cancer patients.METHODS: Ninety-one patients with biopsy proven rectal adenocarcinoma referred for thoracic and abdominal CT staging were enrolled in this study. The contrast-enhanced MDCT scans were performed on a 256 row scanner(ICT, Philips) with the following acquisition parameters: tube voltage 120 KV, tube current 150-300 m As. Imaging data were reviewed as axial and as multiplanar reconstructions(MPRs) images along the rectal tumor axis. MRI study, performed on 1.5 T with dedicated phased array multicoil, included multiplanar T2 and axial T1 sequences and diffusion weighted images(DWI). Axial and MPR CT images independently were compared to MRI and MRF involvement was determined. Diagnostic accuracy of both modalities was compared and statistically analyzed.RESULTS: According to MRI, the MRF was involved in 51 patients and not involved in 40 patients. DWI allowed to recognize the tumor as a focal mass with high signal intensity on high b-value images, compared with the signal of the normal adjacent rectal wall or with the lower tissue signal intensity background. The number of patients correctly staged by the native axial CT images was 71 out of 91(41 with involved MRF; 30 with not involved MRF), while by using the MPR 80 patients were correctly staged(45 with involved MRF; 35 with not involved MRF). Local tumor staging suggested by MDCT agreed with those of MRI, obtaining for CT axial images sensitivity and specificity of 80.4% and 75%, positive predictive value(PPV) 80.4%, negative predictive value(NPV) 75% and accuracy 78%; while performing MPR the sensitivity and specificity increased to 88% and 87.5%, PPV was 90%, NPV 85.36% and accuracy 88%. MPR images showed higher diagnostic accuracy, in terms of MRF involvement, than native axial images, as compared to the reference magnetic resonance images. The difference in accuracy was statistically significant(P = 0.02). CONCLUSION: New generation CT scanner, using high resolution MPR images, represents a reliable diagnostic tool in assessment of loco-regional and whole body staging of advanced rectal cancer, especially in patients with MRI contraindications.

A new multi-parallel-beam collimators with improved sensitivity for SPECT

In this paper, a new design of multi-parallel-beam (MPB) collimators with projection multiplexing is proposed. In the MPB system, two different oblique parallel channels are introduced in a conventional parallel-beam collimator. The sensitivity of the single photon emission computed tomography (SPECT) system is improved by allowing projection overlapping. Comparative simulation studies were performed in the MPB collimators, general purpose parallel-beam (GPPB) collimators and high sensitivity parallel-beam (HSPB) collimators. In the simulation, attenuation, scattering and the impact of detector response were neglected. Simulation results show that the sensitivity is improved for the MPB collimator comparing with parallel-beam collimator. The behavior of spatial resolution is only different near the front face of the collimators and approaches that of the GPPB with increasing depth. Proper pre-filtering is helpful for the image reconstruction in the MPB collimators. Comparing with the HSPB collimator, the MPB can achieve a similar sensitivity and better resolution. The simulation ot the U87 cells, and their expression levels were higher in the 10 Gy group than in the 0 Gy group. The differential gene expression in DCX-U87 cells before and after radiation is helpful for future investigations into the mechanisms of radiation therapy in neurogliocytoma cells.

Simulation and prototype testing of multi-wire drift chamber arrays for the CEE

The building of a large-scale external-target experiment, abbreviated as CEE, in the cooling storage ring at the Heavy Ion Research Facility in Lanzhou has been planned. The CEE is a multi-purpose spectrometer that will be used for various studies on heavy-ion collisions. A multi-wire drift chamber(MWDC) array is the forward tracking detector of the CEE. In this work, GEANT4 simulations were performed for the MWDC forward tracking array with a focus on the track reconstruction algorithm. Combined with the time of flight information,particle identification is achieved. The residue is about 30 μm, while the tracking efficiency is higher than 90%with the current redundancy. In addition, a prototype of the forward tracking system using three MWDCs was assembled and tested using a high-energy proton beam. The firing efficiency of the detector and the reconstruction accuracy of the prototype were derived. The track residue for the protons at about 400 MeV/c is better than 300 μm, meeting the requirements of the CEE. Suggestions for improving the performance of the forward tracking system are given.

基于Laurent分解的Multi-h CPM简化接收机研究

在最大似然接收机的基础上,提出了一种基于Laurent分解的Multi-h CPM简化接收机。详细介绍了多进制Multi-h CPM信号的Laurent分解原理,对分解后的脉冲进行信号重构,验证Multi-h CPM信号Laurent分解的正确性。通过PAM脉冲截断和平均两步处理,大大减小了接收机所需匹配滤波器的数目和网格状态。最后对ARTM TierⅡ信号进行仿真验证,结果表明:该接收机所需的匹配滤波器和网格状态数目分别为最大似然接收机的3/128和1/4,在10-5误码率下的性能损失仅为0. 2 d B。

双清一号(珞珈三号01星)多模式成像样例数据集

针对当前多数高分辨遥感卫星面向用户服务存在获取数据种类单一问题,该文公开了双清一号(珞珈三号01星)多模式成像样例数据集,涵盖了面阵推扫、面阵推帧和视频凝视等多种成像模式,包含城市、水体、山区、机场等不同目标区域的典型数据样本。该数据集由信号数据解码、Bayer插值、相对辐射校正、几何定位、视频稳像和3维重建等步骤处理构建;同时,对在轨定标、兴趣区产品快速生产、高清视频几何稳像和多角度3维重建等关键算法做了深入探讨和研究。最后,对样本数据集从图像标准产品、凝视视频产品和实景3维产品等3个方面进行了可视化展示和定量化精度评价。

基于自适应聚合循环递归的稠密点云重建网络

为了解决弱纹理重建难、资源消耗大和重建时间长等问题,提出了一种基于自适应聚合循环递归卷积的多阶段稠密点云重建网络,即A2R2-MVSNet(adaptive aggregation recurrent recursive multi view stereo net)。该方法首先引入一种基于多尺度循环递归残差的特征提取模块,聚合上下文语义信息,以解决弱纹理或无纹理区域特征提取难的问题。在代价体正则化部分,提出一种残差正则化模块,该模块在略微增加内存消耗的前提下,提高了3D CNN提取和聚合上下文语意的能力。实验结果表明,提出的方法在DTU数据集上的综合指标排名靠前,在重建细节上有着更好的体现,且在BlendedMVS数据集上生成了不错的深度图和点云结果,此外网络还在自采集的大规模高分辨率数据集上进行了泛化测试。归功于由粗到细的多阶段思想和我们提出的模块,网络在生成高准确性和完整性深度图的同时,还能进行高分辨率重建以适用于实际问题。

多元家庭参与计划在乳腺癌乳房重建术患者院外延续性护理中的应用

目的:观察多元家庭参与计划在乳房重建术患者院外延续性护理中的应用效果。方法:以2020年9月笔者医院实施基于多元家庭参与计划的院外延续性护理干预模式为分界线,将2019年2月-2020年8月实施常规院外延续性护理的40例乳房重建术患者纳入对照组,将2020年9月-2022年3月实施基于多元家庭参与计划院外延续性护理的40例乳房重建术患者纳入观察组,比较两组患者干预前后认知偏差、体象、希望水平、生活质量及美学效果满意度。结果:干预后,两组认知偏差评分(对生命质量的影响、对他人评价、感知到的认知障碍及认知能力)均较干预前降低(P<0.05),且观察组各维度评分均低于对照组(P<0.05);干预后,两组体象评分(身体羞耻、疾病易感、身体关注、功能受限、患臂关注及透视)均较干预前降低(P<0.05),且观察组各维度评分均低于对照组(P<0.05);干预后,两组希望水平评分(未来和现实的积极态度、与他人保持亲密关系、采取积极行动)均较干预前升高(P<0.05),且观察组各维度评分均高于对照组(P<0.05);干预后,两组生活质量评分(心理状态、身体状态、性健康、假体满意度、乳房满意度、手术及信息满意度、医疗团队满意度)均较干预前升高(P<0.05),且观察组各维度评分均高于对照组(P<0.05);两组美学效果总满意率比较差异无统计学意义(P>0.05),但观察组满意率高于对照组(P<0.05)。结论:在乳房重建术患者院外延续性护理中应用多元家庭参与计划,能够有效改善患者心理状态,提高患者生活质量,值得临床推广。

致密油多场重构驱渗结合提高采收率技术

建立渗流-地质力学耦合的嵌入式裂缝流动模型,进行致密油多场耦合模拟,揭示致密油长期注水后压力场、渗流场和应力场的变化规律,在此基础上提出了致密油多场重构驱渗结合提高采收率技术。研究表明:致密油长期注水开发后,压力扩散范围小,难以建立有效驱替系统,地应力的变化幅度呈现差异性,水平最小主应力变化幅度大于水平最大主应力,注水井地应力变化幅度大于生产井,注水井周围地应力转向幅度较大。多场重构驱渗结合提高采收率技术通过注水井转采和大规模压裂技术,重构人工体积缝网系统;通过压前补能、压中增能、焖井蓄能、驱渗结合的全生命周期能量补充方法,有效解决了大规模压裂后注入介质易窜流、能量难补充的问题;通过多井联动强化渗吸效应,重构复杂缝网下驱替与渗吸结合体系,由避缝向利用裂缝转变,提高微观波及效率和驱油效率。鄂尔多斯盆地华庆油田元284区块现场应用实践表明,该技术提高采收率12个百分点,可实现致密油规模效益开发。

电动汽车用多相电驱重构型车载充电系统关键技术综述

电驱重构型车载充电系统为电动汽车电气部分提供了一种全新轻量化设计思路,旨在利用电驱单元分时执行电驱与充电2种变流功能。相较于三相电驱系统,多相电驱系统具有输出转矩平滑、容错性能强等诸多优势特性。鉴于此,该文首先归纳现有并网式多相电驱重构型车载充电系统的拓扑结构与控制策略,并介绍其容错运行方案;然后,着重分析太阳能电动汽车用多能量端口电驱重构型车载充电系统的工作原理与控制策略;最后,总结全文并对多相电驱重构型车载充电系统的发展方向进行展望。

多尺度残差密集注意力网络图像超分辨率重建

目的使用单一尺度卷积网络提取低分辨率(low-resolution,LR)图像特征会造成大量图像高频特征丢失,为了获取更多高频特征,重建更清晰的超分辨率图像,方法提出一种基于多尺度残差密集注意力网络(multi-scale residual dense attention network)的单幅图像超分辨率重建算法。首先,使用卷积网络从低分辨率图像中提取浅层特征并将其作为后续网络各级输入;其次,采用各级多尺度残差密集注意力块(multi-scale residual dense attention block)处理前级网络图像特征并从中提取图像高频特征,多尺度残差密集网络善于提取更丰富的图像特征,并融入注意力机制,增强网络对高频区域特征的关注;然后,将网络各级提取不同深度的图像特征进行全局特征融合;最后,融合后的特征经上采样输出重建的超分辨率图像。结果放大因子为4时,网络在SET5,SET14,BSDS100,URBAN100和MANGA109数据集上测试,峰值信噪比分别为31.97,28.58,27.57,25.85,29.79 dB;网络中基本模块分别由多尺度残差密集注意力块、残差块和密集块替换提取特征,以峰值信噪比作为模块性能评估标准,多尺度残差密集注意力块表现更优异。结论该网络结合多尺度残差密集网络能够获取更丰富图像高低频信息,融入注意力机制有效对网络中高频信息进行提取,能重建纹理更清晰的超分辨率图像。