Measurement Uncertainty Analysis of the Rotary-scan Method for the Measurable Dimension of Cylindrical Workpieces

The measurement uncertainty analysis is carried out to investigate the measurable dimensions of cylindrical workpieces by the rotary-scan method in this paper.Due to the difficult alignment of the workpiece with a diameter of less than 3 mm by the rotary scan method,the measurement uncertainty of the cylindrical workpiece with a diameter of 3 mm and length of 50 mm which is measured by a roundness measuring machine,is evaluated according to GUM(Guide to the Expression of Uncertainty in Measurement)as an example.Since the uncertainty caused by the eccentricity of the measured workpiece is different with the dimension changing,the measurement uncertainty of cylindrical workpieces with other dimensions can be evaluated the same as the diameter of 3 mm but with different eccentricity.Measurement uncertainty caused by different eccentricities concerning the dimension of the measured cylindrical workpiece is set to simulate the evaluations.Compared to the target value of the measurement uncertainty of 0.1μm,the measurable dimensions of the cylindrical workpiece can be obtained.Experiments and analysis are presented to quantitatively evaluate the reliability of the rotary-scan method for the roundness measurement of cylindrical workpieces.

Soft measurement model of ring's dimensions for vertical hot ring rolling process using neural networks optimized by genetic algorithm

Vertical hot ring rolling(VHRR) process has the characteristics of nonlinearity,time-variation and being susceptible to disturbance.Furthermore,the ring's growth is quite fast within a short time,and the rolled ring's position is asymmetrical.All of these cause that the ring's dimensions cannot be measured directly.Through analyzing the relationships among the dimensions of ring blanks,the positions of rolls and the ring's inner and outer diameter,the soft measurement model of ring's dimensions is established based on the radial basis function neural network(RBFNN).A mass of data samples are obtained from VHRR finite element(FE) simulations to train and test the soft measurement NN model,and the model's structure parameters are deduced and optimized by genetic algorithm(GA).Finally,the soft measurement system of ring's dimensions is established and validated by the VHRR experiments.The ring's dimensions were measured artificially and calculated by the soft measurement NN model.The results show that the calculation values of GA-RBFNN model are close to the artificial measurement data.In addition,the calculation accuracy of GA-RBFNN model is higher than that of RBFNN model.The research results suggest that the soft measurement NN model has high precision and flexibility.The research can provide practical methods and theoretical guidance for the accurate measurement of VHRR process.

Green Measurements for Software Product Based on Sustainability Dimensions

Software is a central component in the modern world and vastly affects the environment’s sustainability.The demand for energy and resource require-ments is rising when producing hardware and software units.Literature study reveals that many studies focused on green hardware;however,limited efforts were made in the greenness of software products.Green software products are necessary to solve the issues and problems related to the long-term use of soft-ware,especially from a sustainability perspective.Without a proper mechanism for measuring the greenness of a particular software product executed in a specific environment,the mentioned benefits will not be attained.Currently,there are not enough works to address this problem,and the green status of software products is uncertain and unsure.This paper aims to identify the green measurements based on sustainable dimensions in a software product.The second objective is to reveal the relationships between the elements and measurements through empirical study.The study is conducted in two phases.Thefirst phase is the theoretical phase,where the main components,measurements and practices that influence the sustainability of a software product are identified.The second phase is the empirical study that involved 103 respondents in Malaysia investigating current practices of green software in the industrial environment and further identifying the main sustainability dimensions and measurements and their impact on achiev-ing green software products.This study has revealed seven green measurements of software product:Productivity,Usability,Cost Reduction,Employee Support,Energy Efficiency,Resource Efficiency and Tool Support.The relationships are statistically significant,with a significance level of less than 0.01(p=0.000).Thus,the hypothesised relationships were all accepted.The contributions of this study revolve around the research perspectives of the measurements to attain a green software product.

DIMENSIONS OF MEASURE ON GENERAL SIERPINSKI CARPET

Let S = Pi(i=1)(infinity){0, 1, ..., r - 1} and (R) over bar the general Sierpinski carpet, Let mu be the induced probability measure on (R) over bar of <(mu)over tilde> on S by phi, where phi is the natural surjection from S onto (R) over bar and <(mu)over tilde> is the infinite product probability measure corresponding to probability vector (b(0), ..., b(r-1)) with b(i) = a(i)(logn) (m-1)/m(alpha). Authors show that dim(H) mu = (C) under bar(L)(mu) = (C) over bar(L)(mu) = (C) under bar(mu) = (C) over bar C(mu) = alpha.

On the Equality of Hausdorff Dimensions and Conformal Measures of Parabolic Maps

Let f, g be two parabolic maps of degree ≥ 2. HD(J) denotes the Hausdorff dimension of the Julia set J and m f and m g denote the t-conformal measure supported on the Julia set J(f) and J(g) respectively. In this paper we show that if J(f) and J(g) are locally connected and f and g topologically conjugate, then HD(J(f)) = HD(J(g)), mg = mfoh-1 .

A method for custom measurement of fish dimensions using the improved YOLOv5-keypoint framework with multi-attention mechanisms

Dimensional data directly reflects the growth rate of individual fish,an important economic trait of interest to fish researchers.Efficiently obtaining large-scale fish dimension data would be valuable for both selective breeding and production.To address this,our study proposes a custom dimension measurement method for fish using the YOLOv5-keypoint framework with multi-attention mechanisms.We optimized the YOLOv5 framework,incorporated the SimAM attention mechanism to achieve more accurate and faster fish detection,and added customizable landmarks to the network structure,enabling flexible configuration of the number and location of feature points in the training dataset.This method is applicable to various aquacultural species and other objects.We tested the effectiveness of the method using the economically important grass carp(Ctenopharyngodon idella).The proposed method outperforms pure YOLOv5,Faster R-CNN,and SSD in terms of precision and recall rates,achieving an impressive average precision of 0.9781.Notably,field trials confirmed the method's exceptional measurement accuracy,exceeding 97%compatibility with manual measurements,while demonstrating a realtime speed of 38 frames per second on the NVIDIA RTX A4000.This enables efficient and accurate large-scale surface dimension measurements of economic fish.To facilitate massive measurements in agricultural research,we have implemented this method as an online platform,called Mode-recognition Ruler(MrRuler,http://bioinf o.ihb.ac.cn/mrruler).The platform identifies objects in a single image at an average speed of 0.486±0.005 s,based on a dataset of 10,000 images.MrRuler includes two preset carp models and allows users to upload training datasets for custom models of their targets of interest.

THE HAUSDORFF DIMENSION AND MEASURE IN GENERALIZED GEOMETRIC GRAPH DIRECTED CONSTRUCTION

Abthors introduce the notation of generalized geometric constructions in Rm generated by a directed graph G and by a sequence of similarity ratios which are labelled with the edges of this graph. In this paper, it is obtained the Hausdorff dimension and measure of this construction object for some cases.

A NOTE ON MULTIFRACTAL PACKING DIMENSION OF MEASURES

The relations between the multifractal packing dimension of Borel probability measures and the asymptotic behavior of the function Ф＊（x）=limsup logv（B（x,r））-qlogu（B（x,r））/logr are discussed and some applications are given.

The Hausdorff Dimension and Hausdorff Measure of Full Parry Measure Subset of Finite Type

All the full Parry measure subsets of a given subshift of finite type determined by an irreducible 0-1 matrix have the same Hausdorrf dimension and Hausdorff measure which coincide with those of the set of finite type.

A study of making use of computer-aided projection fringe system to measure breast dimension

To measure breast basic dimension by using computer-aided projection fringe system.Methods A system has been developed for measuring breast basic dimension based on computer-aided projection fringe measurement and programming software.Plastic manikins breast’s SN-N (sternal notch to nipple distance),N-ML (nipple to midline distance),N-N (internipple distance),MBW (base width of breast) and N-IMF (nipple to inframammary fold distance) are measured with this system.At the same time,these items are also measured with routine ruler.Results This study indicate that the system has some merits:① non-touching measurement;② it is very rapid,the patient measured need hold his breath only 0.5 second,and all the time it takes is about 2.5 minutes;③ the measurement’s sensitivity is as high as to 0.6 mm,which meets the clinic requirement entirely;④ the measurement’s accuracy of the system is not significantly when comparing to the routine ruler’s.Conclusion Computer-adided projection fringe system for measuring breast basic dimension is feasible and advanced.14 refs,1 fig.

THE DIMENSION FOR RANDOM SUB-SELF-SIMILAR SET

In this article, the Hausdorff dimension and exact Hausdorff measure function of any random sub-self-similar set are obtained under some reasonable conditions. Several examples are given at the end.

On the Continuity of Julia Sets and Hausdorff Dimension of N CP and Parabolic Maps

Denote by HD（J（f）） the Hausdorff dimension of the Julia set J（f） of a rational function f. Our first result asserts that if f is an NCP map, and fn → f horocyclically,preserving sub-critical relations, then fn is an NCP map for all n ≥≥ 0 and J（fn） →J（f） in the Hausdorff topology. We also prove that if f is a parabolic map and fn is an NCP map for all n ≥≥ 0 such that fn→4 f horocyclically, then J（fn） → J（f） in the Hausdorff topology, and HD（J（fn）） →4 HD（J（f））.

HAUSDORFF DIMENSION OF GENERALIZED STATISTICALLY SELF-AFFINE FRACTALS

The authors consider generalized statistically self-affine recursive fractals K with random numbers of subsets on each level. They obtain the Hausdorff dimensions of K without considering whether the subsets on each level are non-overlapping or not. They also give some examples to show that many important sets are the special cases of their models.

基于ELM的超声多特征融合螺栓应力测量方法

针对传统超声波螺栓应力测量中存在的非线性和不适定性问题,提出一种基于极限学习机(ELM)的超声多特征融合螺栓应力测量方法。首先基于声弹性理论和散射理论,根据超声回波信号提取声时差及瑞利散射范围内多晶体材料中纵波的衰减系数等超声波特征参数。然后通过向量降维选择声时差、衰减系数和有效受力长度作为模型输入特征向量,建立了基于ELM的超声多特征融合螺栓应力测量模型。搭建螺栓轴向应力超声波测量实验平台,对不同材料和规格的螺栓进行螺栓应力的测量,并对比了使用传统的超声测量方法的测量结果,验证了传统超声检测方法的局限性。对比了ELM与其他机器学习方法包括BP、支持向量回归(SVR)的测量结果和精度。结果表明,提出的方法有效克服了传统超声测量方法的不足,能实现不同材料不同规格的螺栓应力测量,并且测量精度更高(平均相对误差为3.86%),泛化能力更好。

一种基准关联的空间尺寸远心视觉测量方法

针对具有横截面外伸尖端特征的长轴工件,本文研究了一种基准关联的空间尺寸远心视觉测量方法。该方法首先利用远心成像实现较长尺度工件的局部待测要素的图像特征提取和位置测量,而后建立局部待测要素与相机成像视场以外的轴线基准要素的测量传递链,将局部要素经计算转化成全局径向尺寸,从而实现超过成像视场尺度的快速精密测量。构建了测量实验环境,对方法的有效性进行了验证,对误差进行了溯源和分析并给出了进一步提升精度的建议。本方法能够在远心平行投影条件下实现对立体工件的空间几何量测量,特别适用于对速度和精度均要求较高的在位测量应用场合。

基于双目视觉的废料尺寸测量系统设计与研究

为了克服工业废料尺寸测量时人工测量成本高且效率低的问题,提出了一种双目视觉系统。该系统融合了精密机械结构、双目视觉技术及先进图像分析算法,实现了废料三维尺寸的快速自动检测。在双目视觉测量技术应用上,系统基于平行式双目视觉理论,通过SGBM算法实现立体匹配。与BM算法相比,SGBM算法获得了更优的匹配精度与边缘清晰度,有效提升了测量的准确性,可输出高分辨率的视差图像与点云数据,为废料尺寸的关键参数提取提供了坚实基础。试验结果表明,该系统测量误差较低,不超过2.5 mm,符合要求。

基于亚像素精度的汽车冲压件尺寸测量系统设计

针对汽车冲压件尺寸人工测量方式存在的检测效率低和测量精度难以保证等问题,提出了一种基于亚像素精度的尺寸测量方法。先对汽车冲压件进行图像采集和预处理,接着利用Canny算子和改进Zernike矩进行冲压件图像亚像素边缘提取,再通过Hough变换对提取的圆轮廓进行拟合,最终获得了冲压件外圆直径和3个内孔直径的精确尺寸,4个圆轮廓的测量精度均高于0.025 mm,且多次测量结果的标准差小于0.009 6 mm。基于亚像素精度的尺寸测量系统,完成了测量平台的搭建和软件系统的开发,实现了汽车冲压件尺寸的非接触式亚像素级精度测量,能够满足工业应用的快速连续性测量要求。

产业互联网时代企业跨组织动态能力的构念与测量

以平台为本质的平台型企业将成为未来企业的主流,而产业互联网的蓬勃发展为新型平台企业的成长提供了助推剂。与传统企业技术开发平台和消费互联网平台(如淘宝、京东)相比,产业互联网平台企业需要跨组织边界的能力,以便在快速变化的环境中推动多元异质主体实现交互赋能和价值共创。针对经典动态能力在解释产业互联网平台企业相关实践方面的不足,以及经典动态能力理论演进的趋势,结合产业互联网的时代特征,提出并阐释了企业跨组织动态能力的概念,明确了企业跨组织动态能力的结构维度,开发出一个包含16个题项的测量量表。以符合条件的89份中国产业互联网平台企业样本数据进行实证检验,结果证实该量表具备良好的信度和效度。该研究旨在为产业互联网平台化场景下企业跨组织动态能力相关的实证研究奠定构念基础。

制造企业数智化能力:维度探索与量表开发

随着数智技术的飞速发展,数智化转型已成为数字经济时代制造企业发展的必然选择。数智化推动制造企业重构竞争优势,数智化能力成为制造企业创新发展的关键驱动力。然而,部分制造企业在转型过程中陷入“不转型等死、转型找死”的两难困境,数智化能力建设缺乏方向指引,亟待对数智化能力的内涵和构面进行深入研究。在文献分析和扎根理论的基础上,基于动态资源基础观,归纳并提取企业数智化能力构成维度,包括生产智造能力、数智化运营能力和数智连接能力,开发各维度测量量表,利用SPSS和Amos软件对290份有效问卷进行实证检验,结果表明开发的数智化能力测量量表信效度较高。研究结论有助于加深对数智化能力这一概念构成的理解,为数智化能力水平测度提供有效的量化分析工具。

高铁轮对高精度测量系统设计与实现

针对国内轮对尺寸测量手段落后、精度不高、测量效率以及自动化水平低的问题,设计并实现了一种接触式轮对外形尺寸自动化测量系统。该系统利用接触式触发测头以及位移传感器实现了轮对外形尺寸自动化测量,并通过相对测量原理以及温度补偿算法实现了包括内侧距离、轮位、轴颈直径等长度尺寸及径向尺寸的高精度测量。通过在高铁轮对生产组装现场实际试验及试用验证,该系统的测量结果具有高精度和高一致性,满足高铁轮对各个尺寸的测量精度要求。