Investigation and optimization of sampling characteristics of light field camera for flame temperature measurement

It is essential to investigate the light field camera parameters for the accurate flame temperature measurement because the sampling characteristics of the flame radiation can be varied with them. In this study, novel indices of the light field camera were proposed to investigate the directional and spatial sampling characteristics of the flame radiation. Effects of light field camera parameters such as focal length and magnification of the main lens, focal length and magnification of the microlens were investigated. It was observed that the sampling characteristics of the flame are varied with the different parameters of the light field camera. The optimized parameters of the light field camera were then proposed for the flame radiation sampling. The larger sampling angle(23 times larger) is achieved by the optimized parameters compared to the commercial light field camera parameters. A non-negative least square(NNLS) algorithm was used to reconstruct the flame temperature. The reconstruction accuracy was also evaluated by the optimized parameters. The results suggested that the optimized parameters can provide higher reconstruction accuracy for axisymmetric and non-symmetric flame conditions in comparison to the commercial light field camera.

Sampling Strategies for Soil Available K and P at Field Scale

Field nutrient distribution maps obtained from the study on soil variations within fields are the basis of precision agriculture. The quality of these maps for management depends on the accuracy of the predicted values, which depends on the initial sampling. To produce reliable predictions efficiently the minimal sampling size and combination should be decided firstly, which could avoid the misspent funds for field sampling work. A 7.9 hectare silage field close to the Agricultural Research institute at Hillsborough, Northern Ireland, was selected for the study. Soil samples were collected from the field at 25 m intervals in a rectangular grid to provide a database of selected soil properties. Different data combinations were subsequently abstracted from this database for comparison purposes, and ordinary kriging used to produce interpolated soil maps. These predicted data groups were compared using least significant difference (LSD) test method. The results showed that the 62 sampling sizes of triangle arrangement for soil available K were sufficient to reach the required accuracy. The triangular sample combination proved to be superior to a rectangular one of similar sample size.

Determination of the full-field stress and displacement using photoelasticity and sampling moirémethod in a 3D-printed model

The quantitative characterization of the full-field stress and displacement is significant for analyzing the failure and instability of engineering materials.Various optical measurement techniques such as photoelasticity,moiréand digital image correlation methods have been developed to achieve this goal.However,these methods are difficult to incorporate to determine the stress and displacement fields simultaneously because the tested models must contain particles and grating for displacement measurement;however,these elements will disturb the light passing through the tested models using photoelasticity.In this study,by combining photoelasticity and the sampling moirémethod,we developed a method to determine the stress and displacement fields simultaneously in a three-dimensional(3D)-printed photoelastic model with orthogonal grating.Then,the full-field stress was determined by analyzing 10 photoelastic patterns,and the displacement fields were calculated using the sampling moirémethod.The results indicate that the developed method can simultaneously determine the stress and displacement fields.

Distributed Sampling Measurement Model in a Large-Scale High-Speed IP Networks

The distributed passive measurement is an important technology for networkbehavior research. To achieve a consistent measurement, the same packets should be sampled atdistributed measurement points. And in order to estimate the character of traffic statistics, thetraffic sample should be random in statistics. A distributed samplingmask measurement model isintroduced to tackle the difficulty of measuring the full trace of high-speed networks. The keypoint of the model is to choose some bits that are suitable to be sampling mask. In the paper, thebit entropy and bit flow entropy of IP packet headers in CERNET backbone are analyzed, and we findthat the 16 bits of identification field in IP packet header are fit to the matching field ofsampling mask. Measurement traffic also can be used to analyze the statistical character ofmeasurement sample and the randomicity of the model. At the same time the experiment resultsindicate that the model has a good sampling performance.

Characteristics analysis on high density spatial sampling seismic data

China＇s continental deposition basins are characterized by complex geological structures and various reservoir lithologies. Therefore, high precision exploration methods are needed. High density spatial sampling is a new technology to increase the accuracy of seismic exploration. We briefly discuss point source and receiver technology, analyze the high density spatial sampling in situ method, introduce the symmetric sampling principles presented by Gijs J. O. Vermeer, and discuss high density spatial sampling technology from the point of view of wave field continuity. We emphasize the analysis of the high density spatial sampling characteristics, including the high density first break advantages for investigation of near surface structure, improving static correction precision, the use of dense receiver spacing at short offsets to increase the effective coverage at shallow depth, and the accuracy of reflection imaging. Coherent noise is not aliased and the noise analysis precision and suppression increases as a result. High density spatial sampling enhances wave field continuity and the accuracy of various mathematical transforms, which benefits wave field separation. Finally, we point out that the difficult part of high density spatial sampling technology is the data processing. More research needs to be done on the methods of analyzing and processing huge amounts of seismic data.

Discussion on Soil Sampling Technology Based on the Experience of Yuanzegou Small Watershed

Based on the experience of soil sampling in Yuanzegou small watershed,several matters needing attention in soil field sampling are summarized.This paper focuses on the layout of sampling points,soil sample collection,soil sample preparation and matters needing attention about potential factors in soil field sampling,with a view to providing reference for undergraduates,master students or non-subject experimenters who are about to carry out experiments in this discipline.

Influence of the probe-sample interaction on scanning near-field optical microscopic images in the far field

We have studied the influence of probe-sample interaction in a scanning near-field optical microscopy （SNOM） in the far field by using samples with a step structure. For a sample with a step height of - λ/4, the SNOM image contrast between the two sides of the step changes periodically at different scan heights. For a step height of-λ/2, the image contrast remains approximately the same. The probe-sample interaction determines the SNOM image contrast here. The influence of different refractive indices of the sample has been also analysed by using a simple theoretical model.

高温小井眼大直径岩心旋转井壁取心仪研制及应用

随着油气勘探开发难度增大,特别是海洋油气勘探开发的不断加大,以及深水井、高温井越来越多,地质方面对电缆测井技术所获取的参数要求也越来越高。为了更好地获取小井眼尺寸井壁岩心样本,助力油气田高效探勘开发,通过对取心仪井下仪器关键零部件电子控制短节和机械液压短节的创新设计与模拟分析,研制了适用于高温、高压、小尺寸井眼的大直径旋转井壁取心仪(MRCT-dumpy)。通过功能测试和5口井作业应用表明,大直径旋转井壁取心仪钻头性能及取心电机性能均得到充分验证,其热管理系统满足作业需要,符合设计要求;该取心仪取心功能正常,最高单趟收获岩心43颗,满足小井眼大直径取心作业要求。该仪器的设计与应用可为后期同类技术的发展提供指导。

改进人工势场引导的双向扩展随机树路径规划算法

针对地面移动机器人在复杂环境之下要求规划路径实时性强、路线平滑度高、避障精确完备等需求,在快速扩展随机树算法(RRT)的基础之上,提出一种由改进人工势场法(APF)引导的双向扩展随机树算法(APF-Bi-RRT^(*))。首先,在每次迭代的过程之中两棵随机树同时分别从起始点和目标点进行扩展,以加快算法收敛速度;其次,在算法随机树生长方向上,引入目标偏置策略来优化随机子节点的选取,并在随机树和障碍物中加入人工势场分量,限制路径方向选择的随机性,改进算法克服引力和斥力过大导致陷入局部最优值或目标不可达的问题;最后,在形成锯齿型规划路径之上应用一种采样优化和关键节点平滑策略,进一步缩短和平滑原路径的总距离。对比实验结果证明,该算法既克服了传统随机树算法的节点盲目扩展的问题,又兼顾了生成路径的效率和平滑性,与目标偏置RRT算法相比,在规划路径长度上减少了9.7%左右,在运行时间上缩短了65.3%左右,在算法迭代次数上减少了78.2%左右。

便携式锂钾分析仪现场测定热泉水中的锂

锂是绿色能源和轻质合金的理想原料,作为一种重要的战略性资源而备受各国重视。热泉水中富含锂,储量可观,然而热泉水主要分布在西藏、云南等偏远地区,样品运输与实验室测试成本高、效率低,锂资源勘查急需现场分析技术的支持。热泉水一般含有较高浓度的钠、钾等元素,基体效应显著。本文利用自主研发的便携式锂钾分析仪,搭配负性滤光片,选择锂的分析谱线波长670.78nm,通过优化测量条件,建立了标准曲线法与标准加入法现场测定热泉水中锂元素的分析方法。实验结果表明,当电解质是体积分数为1.5%的盐酸,工作电流为70mA,进样流速为3.0mL/min时,锂检出限为4.07μg/L,相对标准偏差(RSD)为1.03%。对热泉水样品进行加标测试,加标回收率为81.6%~115.9%。当热泉水样品基体组成较简单时,直接采用标准曲线法即可获得较准确的分析结果;当样品基体组成较复杂或者基体浓度高时,采用标准加入法可有效地减小基体效应,获得的分析结果相对更准确。本方法适用于不同类型基体的热泉水中锂含量的分析测试。

器物科技断代的综述与思考

判断一种仪器或方法在器物断代方面的关键标准是,使用该仪器或方法检测得到的器物的烧制年代与器物的实际烧制年代相符。如果检测年代与实际年代基本相符,那么这种仪器或方法是有效且可采用的;如果检测年代与实际年代相差甚远,不管这种仪器或方法所表述的原理是否清晰,都是没有实际意义的,是不可采用的。综述了考古文博领域经常使用的碳十四、热释光、标准数据库对比等科技断代方法的主要原理和流程,总结了民间收藏领域经常使用的量子文物年份检测仪、磁共振(场感应)年份检测仪的一些新闻报道、检测实例以及使用者的一些感悟等。

复杂环境下基于改进Informed RRT*的无人机路径规划算法

针对无人机在复杂环境中进行路径规划时,快速搜索随机树(RRT)算法易出现规划时间长、路径冗余、狭窄空间中易陷入局部约束导致规划失败的问题,提出一种改进的Informed RRT*算法.首先,引入人工势场法使采样点按照势场下降的方式向目标点移动,以提高RRT树扩展的目的性和方向性.然后,考虑随机树在扩展过程中全局环境的复杂度,引入自适应步长调整策略以增加随机树在无障碍环境下的扩展速度,并在随机树扩展的过程中加入相关约束条件以确保生成路径的可行性.在找到第一条可达路径后,采用变化的椭圆或椭球采样域限制采样点选取和自适应步长的扩展范围,加快算法收敛到渐进最优的速度.最后,在复杂二维和三维环境下进行传统算法和改进算法的对比实验,仿真分析表明:改进算法可以在很少的迭代次数下找到更优的初始路径,更快地锁定椭圆或椭球采样域,从而给路径优化留出更多时间,算法规划效果更好.

基于三次样条插值法的柱面近场测量欠采样修正算法研究

为解决暗室近场测试效率低的问题,本文针对天线近场测量中高效测量方法进行了研究,提出了一种柱面近场欠采样恢复算法。该算法利用高精度的三次样条插值(cubic spline interpolation,CSI)法对未采样的点进行恢复,可减少采样点数,提高测试速度。此外,在柱面近场欠采样恢复CSI求解过程中充分利用系数矩阵的正定、对称等优良特性,使线性方程组的计算量从O(n^(3))降为O(n),大大提高了CSI的计算效率。最后使用插值后的近场幅度和相位结合柱面近远场变换理论求得天线远场方向图。为验证所提出算法的有效性,试验测试了天线样机,试验结果与理论分析一致。

稀疏采样单测量面相干声场分离机理及方法研究

为改进目前等效源法声场分离技术中存在的测点数目多、适用范围小等问题,提出一种稀疏采样方法分离相干声场。该方法首先对等效源强与重建面声压之间的传递矩阵进行奇异值分解,获取声场的一组稀疏基;然后通过等效源强建立起全息面上测量声压和测量法向振速与系数向量之间的关系;最后通过稀疏正则化求解系数向量的解,从而求出声场的分离声压和分离法向振速。数值仿真分析结果表明:在测量点数较少的情况下,该方法相对于单全息面等效源法具有更高的分离精度;同时,该方法提高了等效源向量的稀疏度,扩大了声场分离的频率范围,在较高频率下仍然具有良好的分离精度。

角色动画中基于隐式曲面的皮肤变形方法

提出了一种角色动画中基于隐式曲面的皮肤变形方法,主要面向具有骨骼层次以及相关蒙皮权重的动画模型,利用隐式曲面来驱动皮肤变形.首先,采用埃尔米特径向基函数和泊松圆盘采样对给定骨骼绑定的网格部分进行重建,把角色模型的体积近似当作一组局部的三维标量场,并保留原有的网格属性;其次,构造场函数,通过场函数纠正几何蒙皮技术的结果;最后,结合两种组合算子,使用隐式方法在人体模型上形成合理可信的皮肤变形效果.本方法不会产生糖纸扭曲和关节膨胀的问题,并且可以生成皮肤接触效果和肌肉凸起.由于该方法是后处理,因此非常适合标准动画制作流程.

Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments

Spatial variability of soil properties imposes a challenge for practical analysis and design in geotechnical engineering.The latter is particularly true for slope stability assessment,where the effects of uncertainty are synthesized in the so-called probability of failure.This probability quantifies the reliability of a slope and its numerical calculation is usually quite involved from a numerical viewpoint.In view of this issue,this paper proposes an approach for failure probability assessment based on Latinized partially stratified sampling and maximum entropy distribution with fractional moments.The spatial variability of geotechnical properties is represented by means of random fields and the Karhunen-Loève expansion.Then,failure probabilities are estimated employing maximum entropy distribution with fractional moments.The application of the proposed approach is examined with two examples:a case study of an undrained slope and a case study of a slope with cross-correlated random fields of strength parameters under a drained slope.The results show that the proposed approach has excellent accuracy and high efficiency,and it can be applied straightforwardly to similar geotechnical engineering problems.

基于格拉姆角差场和生成对抗网络的小样本滚动轴承故障诊断方法

针对基于深度学习的滚动轴承故障诊断算法需要从大量标注数据中学习,且面对样本数量受限时诊断效果不佳的问题,文中提出了一种基于格拉姆角差场(GADF)和生成对抗网络(GAN)的小样本滚动轴承故障诊断方法。首先,提出了基于GADF变换的数据增强方式,将少数1维振动信号通过GADF变换转换为2维GADF图像,并通过裁剪得到GADF子图,从而得到大量的图像样本;然后,将条件生成对抗网络(CGAN)与带有梯度惩罚的Wasserstein GAN(WGAN-GP)相结合,构建一种新的生成对抗网络,该网络通过条件辅助信息与梯度惩罚增强模型训练稳定性,并设计动态坐标注意力机制以增强模型的空间感知能力,从而生成高质量样本;最后,使用生成的样本对分类器进行训练,并在验证集上得到诊断结果。文中分别使用东南大学数据集和美国凯斯西储大学(CWRU)数据集进行了两组小样本环境下的轴承故障诊断实验。结果表明,与传统生成对抗网络以及先进的小样本故障诊断方法相比,文中所提方法的准确率和精确率等5项故障诊断指标均获得最好的结果,可以准确诊断出小样本条件下的轴承故障类型。

基于关系冗余度的少样本实体关系自适应抽取

医学文本中丰富的医学知识可为构建医学知识图谱提供数据支撑,但医学文本中存在部分知识文本数量较少,导致了知识分布不平衡、循证类知识样本少等现实问题,且现有实体关系抽取模型对关系冗余、实体重叠等问题并没有很好的解决方案。论文针对上述问题,提出了一种基于关系冗余度的少样本实体关系自适应抽取模型,该模型弥补了现有抽取模型过度依赖大量标注语料、无法解决实体重叠等不足。使用医学相关文本展开实验,结果表明该模型较现有抽取模型F1性能提高了4.9%。

基于稀疏采样的FDTD/TDPO混合优化算法

基于时域有限差分(finite-difference time-domain,FDTD)和时域物理光学(time-domain physical optics,TDPO)的混合算法提出用稀疏采样优化近场外推的方法,解决了大口径反射面天线电磁计算用时过长、计算效率低的问题。传统混合算法中馈源的近场外推到反射面天线的步骤计算量较大,稀疏采样法从空间和时间两个维度进行间隔采样,减少了此步骤的计算量,从而节省了用时。给出了馈源为喇叭天线、抛物面口径为100个波长的抛物面天线算例,所得计算结果与传统方法相比最大相对误差仅有-36.03 dB,用时最快可缩短为原来的2.51%,与CST软件计算结果对比吻合度较高,用时缩减了93.18%,验证了本文优化算法可在不影响计算精度的前提下提高计算效率。

局部平均随机过程随机场采样定理

随机信号采样定理的相关研究几十年来一直是采样定理主流方向之一,在理论和实际应用两方面都受到信息领域和数学领域的广泛关注。近年来,采样理论在随机过程和随机场的局部平均采样方面得出了一系列研究成果。首先,分析了采样定理在应用中的缺陷和局限性。其次,对近几年在随机过程、高维随机过程、随机场、时空随机场局部平均采样定理方面的发展和相关结论做了系统介绍。最后,对基于混合范数的时空随机场采样逼近、采样形式、信号形式、范数形式等问题进行了展望。结果表明:局部平均的采样方式提高了采样的精度和逼近效果,随机场局部平均采样理论在海浪参数反演和海洋污染监测方面有重要应用。特别是基于混合范数的时空随机场采样理论的研究不仅具有重要的理论价值,而且对于工程领域也有应用价值。