Maximum confidence measurements via probabilistic quantum cloning

Probabilistic quantum cloning（PQC） cannot copy a set of linearly dependent quantum states.In this paper,we show that if incorrect copies are allowed to be produced,linearly dependent quantum states may also be cloned by the PQC.By exploiting this kind of PQC to clone a special set of three linearly dependent quantum states,we derive the upper bound of the maximum confidence measure of a set.An explicit transformation of the maximum confidence measure is presented.

Confidence Level Based on Ridge Estimator in Process Measurement and Its Application

Ordinary least squares(OLS) algorithm is widely applied in process measurement, because the sensor model used to estimate unknown parameters can be approximated through multivariate linear model. However, with few or noisy data or multi-collinearity, unbiased OLS leads to large variance. Biased estimators, especially ridge estimator, have been introduced to improve OLS by trading bias for variance. Ridge estimator is feasible as an estimator with smaller variance. At the same confidence level, with additive noise as the normal random variable, the less variance one estimator has, the shorter the two-sided symmetric confidence interval is. However, this finding is limited to the unbiased estimator and few studies analyze and compare the confidence levels between ridge estimator and OLS. This paper derives the matrix of ridge parameters under necessary and sufficient conditions based on which ridge estimator is superior to OLS in terms of mean squares error matrix, rather than mean squares error.Then the confidence levels between ridge estimator and OLS are compared under the condition of OLS fixed symmetric confidence interval, rather than the criteria for evaluating the validity of different unbiased estimators. We conclude that the confidence level of ridge estimator can not be directly compared with that of OLS based on the criteria available for unbiased estimators, which is verified by a simulation and a laboratory scale experiment on a single parameter measurement.

Analysis of the Reform of Ideological and Political Education in College English Curriculum from the Perspective of“Cultural Confidence”

With the rapid development of the education industry,higher requirements have been put forward for college English education and teaching,accelerating the pace of college English reform.Issues such as how to integrate knowledge transmission,language expression skill improvement,cultural element extraction,and ideological and political education,and present the role of curriculum education function have attracted attention.In the era of informatization,college students’thinking has undergone certain changes and gradually developed towards diversification.Therefore,universities should start from the perspective of cultural confidence,extract valuable ideological and political elements,and explore effective tourism ideological and political teaching methods.While helping college students enhance their cultural confidence,it is also beneficial for them to better inherit traditional Chinese culture.This article conducts an in-depth exploration of ideological and political education in college English courses from the perspective of“cultural confidence”and uses scientific and effective measures to solve the problems encountered,aiming to provide valuable guidelines for relevant researchers.

Confidence support vector domain description

To accelerate the training of support vector domain description （SVDD）, confidence support vector domain description （CSVDD） is proposed based on the observation that the description boundary is determined by a small subset of training data called support vectors. Namely, the number of training samples in the userdefined sphere is calculated and taken as the confidence measure, according to which the training samples are ranked in ascending order. Those former ranked ones are selected as the boundary targets for the SVDD training. Simulations on UCI data demonstrate the effectiveness and superiority of CSVDD： the number of training targets and the training time are reduced without any loss of accuracy.

A Bootstrapping Approach for Software Reliability Measurement Based on a Discretized NHPP Model

Discrete software reliability measurement has a proper characteristic for describing a software reliability growth process which depends on a unit of the software fault-detection period, such as the number of test runs, the number of executed test cases. This paper discusses discrete software reliability measurement based on a discretized nonhomogeneous Poisson process (NHPP) model. Especially, we use a bootstrapping method in our discrete software reliability measurement for discussing the statistical inference on parameters and software reliability assessment measures of our model. Finally we show numerical examples of interval estimations based on our bootstrapping method for the several software reliability assessment measures by using actual data.

Standardized Distance from the Mean to the Median as a Measure of Skewness

The normal distribution, which has a symmetric and middle-tailed profile, is one of the most important distributions in probability theory, parametric inference, and description of quantitative variables. However, there are many non-normal distributions and knowledge of a non-zero bias allows their identification and decision making regarding the use of techniques and corrections. Pearson’s skewness coefficient defined as the standardized signed distance from the arithmetic mean to the median is very simple to calculate and clear to interpret from the normal distribution model, making it an excellent measure to evaluate this assumption, complemented with the visual inspection by means of a histogram and a box-and-whisker plot. From its variant without tripling the numerator or Yule’s skewness coefficient, the objective of this methodological article is to facilitate the use of this latter measure, presenting how to obtain asymptotic and bootstrap confidence intervals for its interpretation. Not only are the formulas shown, but they are applied with an example using R program. A general rule of interpretation of ∓0.1 has been suggested, but this can only become relevant when contextualized in relation to sample size and a measure of skewness with a population or parametric value of zero. For this purpose, intervals with confidence levels of 90%, 95% and 99% were estimated with 10,000 draws at random with replacement from 57 normally distributed samples-population with different sample sizes. The article closes with suggestions for the use of this measure of skewness.

Relative Irradiance Measurement and Bonding Configurations of Amorphous Fluorinated Carbon Films Deposited by Electron Cyclotron Resonance Plasma

a-C:F films are deposited by microwave electron cyclotron resonance (ECR)plasma chemical vapor deposition (CVD) using trifluoromethane (CHF3) and benzene (C6H6) as source gases at different microwave powers. The radicals in plasma originating from source gases dissociation are analyzed by relative irradiance measurement. The bonding configurations and binding state of a-C:F films are measured with Fourier-transformed infrared spectrometer (FTIR) and x-ray photoelectron spectroscopy (XPS). The results show that a-C:F films are mainly composed of CF radical at lower powers but of CF2 radical at higher powers. The deposition of films is related to the radicals generated in plasma and the main bonding configurations are dependent on the ratio of CF to CF2 radicals in films.

CMS实测地下矿采空区建模及稳定性分析研究

传统的采空区稳定性分析建立的数值分析模型,对空区的形状进行过多的简化,使得建立的空区模型过于简单,稳定性分析的结果可靠性较差。借助三维激光空区监测系统对地下矿山采空区进行三维扫描,精确的获取激光头到空区边界的距离。将全站仪测量的定位点坐标输入到CMSposprocess处理软件,将生成的数据输入到矿业工程软件3Dmine中建立起空区的实际赋存模型。研究用VC++编写出可以将3Dmine软件输出的块体质心点坐标直接导入有限差分软件FLAC3D中的应用程序,从而建立起空区力学模型,形成从实测模型到力学计算模型的新方法,大大提高了采空区稳定性分析的准确性和可靠性。结合石人沟铁矿空区稳定性分析工程实践,对石人沟铁矿-60 m水平南区空区进行静力计算,分析空区稳定性,获得了良好效果。

基于M-CM的建筑施工企业现场安全管理成熟度评价

为了有效提高建筑施工企业现场安全管理的效率,使企业能够明确自身现场安全管理的状况,保证安全管理的有序进行,借鉴项目管理成熟度模型（K-PMMM）和软件成熟度模型（CMM）,构建建筑施工企业现场安全管理成熟度评价指标体系。考虑指标之间的关联性和评价过程的模糊性、随机性,同时使调查问卷统计数据的信息量得到充分表达,分别运用测量模型确定评价指标的权重和云模型进行成熟度评价,构建基于测量-云模型（M-CM）的建筑施工企业现场安全管理成熟度评价模型,并利用MATLAB进行仿真分析。将模型应用到实际建筑工程项目中,结果表明,该工程项目的成熟度等级为可管理级,评价结果与现场实际情况相吻合。

基于CM的高分辨率遥感影像目标边缘提取

为了利用形态学思想进行彩色图像处理,将传统形态学扩展到彩色图像处理领域,并提出了一种利用彩色形态学进行高分辨率遥感影像目标边缘提取的方法。在RGB彩色空间中,利用矢量间距离和角度定义其相似性测度,以刻画与人类视觉感知相一致的彩色相似性。以上述相似性测度为准则,结合上确界、下确界构建彩色形态学的基本操作,包括膨胀、腐蚀、开、闭运算等。最后将提出的彩色形态学应用于高分辨率遥感影像处理及目标边缘提取,以验证其实用性和有效性。通过高分辨率遥感影像的仿真表明,其不仅对地物目标具有较好形变和平滑能力,而且能较好的提取遥感影像的目标边缘,为彩色形态学的应用奠定基础。

Bootstrap generated confidence interval for time averaged measure

In the simulation output analysis,there are some measures that should be calculated by time average concept such as the mean queue length.Especially,the confidence interval of those measures might be required for statistical analysis.In this situation,the traditional method that utilizes the central limit theorem(CLT)is inapplicable if the output data set has autocorrelation structure.The bootstrap is one of the most suitable methods which can reflect the autocorrelated phenomena in statistical analysis.Therefore,the confidence interval for a time averaged measure having autocorrelation structure can also be calculated by the bootstrap methods.This study introduces the method that constructs these confidence intervals applying the bootstraps.The bootstraps proposed are the threshold bootstrap(TB),the moving block bootstrap(MBB)and stationary bootstrap(SB).Finally,some numerical examples will be provided for verification.

基于量子行为粒子群算法的舱室噪声监测点优化布置

针对舱室噪声在线监测及声场预报问题,本文提出了一种基于量子行为粒子群算法的舱室内部声监测点优化布置方法。根据研究频段范围确定所需声腔模态阶数,计算全部备选监测点位置处各阶声腔模态的声场分布,采用模态置信矩阵作为目标函数,基于量子行为粒子群算法对监测点位置进行优化,获得优化布置方案。从声腔模态采样的正交性及内外声场响应的角度与其他测点布置方案进行了性能比较。研究表明:本文方法优化得到的测点布置方案采集声腔模态信息更全面,可有效提升舱室内声场的重建精度和基于舱室内声场监测的水下辐射噪声预报精度。

基于置信度更新的目标跟踪算法

针对相关滤波跟踪算法在目标跟踪过程中的目标遮挡、环境复杂等问题,基于SAMF跟踪器提出一种基于置信度更新的目标踪算法.在相关滤波跟踪框架下,采用置信度指标(APCE)判断目标遮挡与否,提出自适应模板更新以解决不同环境下视频场景中跟踪置信度阈值的适应性.在OTB-2013视频序列数据中集中选取33个遮挡和背景复杂属性视频序列进行实验验证,实验结果表明:该算法相对SAMF算法而言,在跟踪遮挡和背景复杂属性下的成功率分别提升1.6%和2.3%,识别精度较高,能够在目标遮挡和复杂背景等环境下稳定跟踪目标.

基于未确知测度理论的矿井巷道安全风险评价分析

矿井巷道的安全性是保证矿山掘进与煤炭开采的重要保障之一,对其进行安全风险评价也是工程开展过程中不可或缺的关键环节。过往的评价方法往往更依赖于主观的定性分析,缺乏定量以及对各影响因素之间的主次关系考虑。基于此,从人、机、环、管4个方面出发,选取其中17个关键影响因素,运用未确知测度理论,科学建立了矿井巷道的安全评价体系;利用熵权法计算各影响因素的权重,再依据置信度识别准则对结果进行科学判定;最终对结果进行重要性排序,构建基于未确知测度理论的矿井巷道安全风险评价方法。结合工程实例分析结果表明,该评价方法客观全面,能够准确判别影响巷道安全状态的关键因素,与工程实际情况基本相符,证明该方法具有较高的准确性以及实际应用价值,可用于类似条件矿井巷道的综合安全评价。

基于未确知测度理论的边坡稳定性评价

应用未确知测度理论建立露天矿山边坡失稳的评价模型,根据影响边坡稳定性成因的重要程度,选取地质构造、水文地质、岩体结构、坡高、坡面角、内摩擦角、爆破质点振动速度、地震烈度、年均降雨量三大类9项指标建立评价体系,构建直线型测度函数,利用客观赋值法确定各评价指标的权重,结合多指标综合测度向量和置信度识别准则进行边坡稳定等级判定。经工程应用表明,该评价模型对露天矿山边坡稳定性分析、矿山安全管理具有一定的参考价值。

基于未确知测度理论的管道内涂层失效风险评价研究

为提高管道内涂层质量的管控水平,从涂层性能、服役环境、涂层老化和施工缺陷等方面建立了三级指标、五级风险的评价指标体系,通过构造单指标测度、计算复合权重和构造多指标测度等步骤,实现了评价指标间差异性和不确定性的消除,并引入有效度对未确知测度理论的识别准则进行改进,实现了风险等级的评价,并进行了工程应用。结果表明,通过复合权重可降低改进层次分析法和变异系数法两类权重结果带来的弊端,一级指标中涂层性能的影响权重最大,二级指标中电化学阻抗值、清管频次、服役时间、施工水平的影响权重较大;评价结果与现场实际情况相符,证明了本文模型的科学性和有效性,为内涂层失效的风险性评价提供了一种新方法。

大学生红色文化教育的意义、内容和路径研究

近年来,新时代的大学生红色文化教育已受到越来越多的关注与重视。开展红色教育是推进德育的重要举措,有利于实现大学生的全人素质的发展。红色文化在大学生教育中的应用,不仅能够丰富校园文化内涵,也能够促进大学生思想观念的进一步升华与变革。在这个信息快速发展和快节奏的时代,红色文化教育可以为大学生提供一个德育理念和实践的新视角。因此,大力加强新时代大学生红色文化教育,对于发展青年精神和智慧、增强中国大学生竞争力、营造和谐社会氛围,都具有重要意义。该文从新时代背景出发,结合红色文化教育的意义,对新时代大学生红色文化教育进行深入探析,讨论其内容,提出加强新时代大学生红色文化教育的策略。

新媒体时代加强大学生文化自信的困境与突围

该研究旨在深入了解新媒体环境给大学生文化自信形成和发展所带来的复杂影响,并通过研究找到有效突破策略和方法,为培养具有高度文化自信的新一代大学生提供理论支持和实践指导。新媒体时代,加强大学生文化自信培育面临着创新文化传播载体、提供虚拟社区和拓宽获取渠道的机遇,同时也面临着传播载体追求自身利益、西方思想价值观念传播冲击和大学生虚拟媒体使用素养接受考验的挑战。结合实践体会和已有文献讨论分析,新媒体时代增强大学生文化自信需要健全新媒体传播文化机制、提高大学生媒体使用素养教育的意识和能力,以及加强高校网络阵地建设。

基于阻抗测量的共模扼流圈高频建模

共模扼流圈是EMI滤波器的核心元件,它的高频特征极大地影响了EMI滤波器抑制传导EMI噪声的性能,有必要建立共模扼流圈的高频模型,以便更准确地评估和预测EMI滤波器的性能。本文提出了基于150kHz～30MHz频率范围内的阻抗测量实现的共模扼流圈高频建模方法,并通过一个实例给出了它的高频集总参数模型,该模型包括了共模电感、差模电感、寄生绕组电容和等效的损耗阻抗等参数。最后通过比较共模扼流圈插入损耗的测量结果和仿真结果,证实了本文所提出的共模扼流圈高频建模方法。

基于兴趣度含正负项目的关联规则挖掘方法

项目的引入使得挖掘出的频繁项集成倍增加,同时生成的关联规则数量更加庞大,引入兴趣度来约束从频繁项集中提取关联规则的数量。分析现有的兴趣度模型,从中选择了一种适合于含正负项目的关联规则挖掘的兴趣度方法,并且提出了置信度的一个性质,描述了含正负项目的频繁项集挖掘关联规则的算法,并对矛盾关联规则进行了分析。实验结果表明,该算法是有效和可行的。