Determination of interference fit value on entire roller embedded shapemeter roll

For entire roller embedded shapemeter roll, the relationship between the value of interference fit and the sensor pre-pressure, and the pressure transfer performance of shapemeter roll were analyzed by elasticity theory during the cold reversible rolling process. Considering the influence of strip temperature on the interference fit, the distributions of contact pressure of the framework's top surface and the sensor pre-pressure on different values of interference fit were analyzed by the finite element technology. The results show that the contact pressure of the framework's top surface and the sensor pre-pressure increase with the increase of the value of interference fit. When the value of interference fit is between 0.05 mm and 0.09 mm, roll body's inner hole surface, the framework and pressure magnetic sensitive component don't separate from each other, and the sensor works in the linear segment of characteristic curve, so the normal operation of shapemeter roll is guaranteed.

Parker Test for Heteroskedasticity Based on Sample Fitted Values

To address the drawbacks of the traditional Parker test in multivariate linear models: the process is cumbersome and computationally intensive, we propose a new heteroscedasticity test. A new heteroskedasticity test is proposed using the fitted values of the samples as new explanatory variables, reconstructing the regression model, and giving a new heteroskedasticity test based on the significance test of the coefficients, it is also compared with the existing Parker test which is improved using the principal component idea. Numerical simulations and empirical analyses show that the improved Parker test with the fitted values of the samples proposed in this paper is superior.

AN EXPONENTIALLY FITTED DIFFERENCE SCHEME FOR THE HYPERBOLIC-HYPERBOLIC SINGULARLY PERTURBED INITIAL-BOUNDARY VALUE PROBLEM

In this paper we discuss, an initial-boundary value problem of hyperbolic type with first derivative with respect to x. The asymptotic solution is constructed and its uniform validity is proved under weader compatibility conditions. Then we develop an exponentially fitted difference scheme and establish discrete energy inequality. Finally, we prove that the solution of difference problem uniformly converges to the solution of the original problem.

Non-equal-interval direct optimizing Verhulst model that x(n) be taken as initial value and its application

To overcome the deficiencies of the existing Verhulst GM(1,1) model, based on the existing grey theory, a non-equal-interval direct optimum Verhulst GM(1,1) model is built which chooses a modified n-th component x(n) of X(0) as the starting condition of the grey differential model. It optimizes a modified β value and the background value, and takes two times fitting optimization. The new model extends equal intervals to non-equal-intervals and is suitable for general data modelling and estimating parameters of the direct Verhulst GM(1,1). The new model does not need to pre-process the primitive data, nor accumulate generating operation (AGO) and inverse accumulated generating operation (IAGO). It is not only suitable for equal interval data modelling, but also for non-equal interval data modelling. As the new information is fully used and two times fitting optimization is taken, the fitting accuracy is the highest in all existing models. The example shows that the new model is simple and practical. The new model is worth expanding on and applying in data processing or on-line monitoring for tests, social sciences and other engineering sciences.

从Fitness到Wellness——美国体适能与健康教育计划发展之历史考查及借鉴

美国的体适能研究始终坚持将体适能健康教育计划与学校体育课程内容的改革紧密结合在一起，在多维健康理念的指导下，其课程内容超越了发展身体能力的思维局限，将体适能运动的创造性与人的自然适应功能、个体生活质量及生命的自我表达的社会属性紧密的联系在一起。美国的体适能研究，无疑为我国学校体育课程改革与社会体育事业发展带来了新的思路与活力。

Nonlinear Fitting Method of Long-Term Distributions for Statistical Analysis of Extreme Negative Surge Elevations

Hydrologic frequency analysis plays an important role in coastal and ocean engineering for structural design and disaster prevention in coastal areas. This paper proposes a Nonlinear Least Squares Method (NLSM), which estimates the three unknown parameters of the Weibull distribution simultaneously by an iteration method. Statistical test shows that the NLSM fits each data sample well. The effects of different parameter-fitting methods, distribution models, and threshold values are also discussed in the statistical analysis of storm set-down elevation. The best-fitting probability distribution is given and the corresponding return values are estimated for engineering design.

我国健身服务业高质量发展的推进路径——基于供需平衡理论

健身服务业作为体育产业的重要组成部分,基于其潜在的市场考验和广阔的发展前景,本文采用文献资料、专家访谈、逻辑分析等方法,分析供需平衡理论框架下健身服务业高质量发展的宏观形态。从健身服务市场主体发展态势看,我国传统健身服务市场主体虽已发展成熟,但存在盈利模式单一、价值增值能力弱、供需错位以及结构失衡等诸多问题;从健身服务市场客体看,我国消费出现有效需求转化、广泛人群需要层次提升、潜在消费人口发展、消费理性预期改善、消费内容空间扩大等变化。因此,必须形成“三位一体”,即政策、供给、需求的健身服务经济价值新路径,以推进健身服务业高质量发展。

全民健身统合立法的法理阐释与制度表达

落实全民健身国家战略,建设体育强国和健康中国,需要体系化的法律制度来引领和支撑。文章通过规范分析、文献研究、比较研究等方法,认为现行全民健身相关法规体系规范林立,存在着"统合性法律缺失,协调性不够""专项性法律阙如,权威性不足"等局限,全民健身统合立法既是对当前全民健身立法实践问题的批判反思,也是继承已有法律法规实现统合、细化和补充的功能,是提高全民健身立法质量的举措。通过进一步分析认为制定全民健身统合性专项法律的立法条件已较为成熟。在制度表达上,全民健身统合性法律应是《体育法》的细化和补充以及《全民健身条例》上位法的适度法典化定位,其内容应维护公民体育权利的实现、明确全民健身多元主体的权利与义务、特殊群体的全民健身权益保障、社区全民健身用地的有效供给等。

新时代健康导向下城市社区全民健身治理绩效:评价体系构建与实证案例

促进健康是新时代全民健身治理的重要目标,治理绩效评价是推动全民健身实现促进健康治理目标的重要工具。该研究运用扎根理论方法,构建出了反映新时代健康导向下城市社区全民健身治理绩效水平的评价模型,并以北京市为个案,依托2075份调查问卷数据对城六区的全民健身治理绩效水平进行了实证分析。研究发现:新时代健康导向下全民健身治理绩效评价体系包括3个一级指标、11个二级指标和37个三级指标,其中结果产出是反映城市社区全民健身治理绩效最为关键的因子;北京市城六区全民健身治理整体绩效指数为1.125,具有锻炼效果、人性化服务和信息服务等绩效指数较低,落入弱绩效区间等特征,且各个城区间既具有共性也存在差异;制约北京市城六区全民健身治理绩效的瓶颈因素主要为理念更新滞后、数字化投入不足、科学化指导欠缺及多样化供给有限等。建议通过重塑治理绩效理念“价值逻辑”、打造社区数字平台“从无到优”、探索体育服务配送“数智机制”、推动健身治理主体“多源多元”等路径来提升北京市城区全民健身治理绩效水平。

基于RMS子线区间拟合法的轴承剩余寿命预测

轴承剩余使用寿命(Residual life,RL)预测模型的预测精度在很大程度上取决于衰退特征的趋势一致性。由于轴承个体差异性,导致同类型不同轴承的相同特征衰退趋势表现不同,从而导致训练集轴承建立的RL预测模型与测试集轴承不匹配。针对上述问题,本文提出一种基于振动信号均方根(RMS)趋势一致性的子线区间拟合法轴承寿命预测方法。依据μ±3σ原则提出一种奇异值替换方法,有效增强RMS衰退曲线的趋势一致性,并基于RMS衰退曲线高度的趋势一致性提出子线区间拟合法,利用XJTU-SY数据集对提出方法进行测试与验证,并与常见的寿命预测方法反向传播神经网络(Back Propagation Neural Network,BPNN)与长短期记忆神经网络(Long Short-term Memory Network,LSTM)预测结果进行对比,可有效提升轴承RL预测精度。

船用柴油机均值模型建模及仿真研究

柴油机模型的研究是探究柴油机性能、实现虚拟仿真的基础,可缩短仿真计算时间、有效节约柴油机开发成本。本文以RK270柴油机为研究对象,使用GT-POWER软件建立稳态性能仿真模型,在此基础上,采用仿真精度高、计算速度快的平均值法,以C++语言建立柴油机平均值模型,并归纳通用的平均值模型建模标定校核流程;提出二元响应拟合的方法,解决了涡轮增压器特性参数处理困难的问题,并借助数学工具,获得了压气机主要工作区域内拟合精度较高的模型。完成模型开发后,分析了8组工况下的仿真结果,通过误差分析,验证了模型的准确性,丰富完善了柴油机建模理论和方法,可应用于实时控制模型的动态仿真或者实现与船舶动力系统的交互。

价值感知下居家健身产品服务系统设计策略

从设计视角出发,促进居家健身人群健身意愿向行为的有效转化。搭建多维度价值感知下居家健身产品服务系统影响用户健身意愿与行为结构模型;其次,对居家健身产品服务系统商业成功案例展开剖析,归纳其设计优势与设计不足,基于此提出设计新方向和策略。从设计视角提出“统筹实际需求,实现产品功能融合”“结合新兴技术,实现智慧服务升级”“聚焦家居环境,实现居家场景关联”“立足用户心理,实现价值感知提升”4项作为居家健身产品服务系统设计策略。以期为促进居家健身人群健身意愿向积极行为有效转化的居家健身产品服务系统设计实践提供理论依据和参考。

基于APSO的LSTM神经网络模型优化方法研究

多隐含层长短期记忆神经网络(long short-term memory,LSTM)循环神经网络权值与阈值更新依赖梯度下降算法,模型收敛速度慢,网络节点的权值计算易出现局部极值,导致LSTM神经网络模型不能得到全局最优,网络模型泛化能力下降,限制LSTM循环神经网络的应用。因此,利用加速粒子群优化算法(accelerated particle swarm optimization,APSO)的优化能力,提出一种改进LSTM神经网络模型。该模型将均方根误差设计为适宜值函数,并利用APSO算法构建寻优策略,对各神经元节点间的权值进行全局优化,提升模型的泛化和预测性能。通过经典DataMarket及UCI数据集的实验结果表明,APSO-LSTM模型的预测精度较传统LSTM模型有显著提升,验证了APSO-LSTM模型的有效性和实用性。

基于再模糊和奇异值分解的局部模糊区域检测

针对局部模糊区域检测与分割,提出一种基于再模糊和奇异值分解的局部模糊检测方法。首先,对待检图像进行高斯模糊和图像连续分块,对分块图像进行奇异值分解;其次,对奇异值向量进行指数函数拟合,得到待测和再模糊图像的奇异值曲线,分别计算拟合曲线的积分并作差,将差值差异性作为描述模糊的特征值;最后,利用Canny边缘检测算法完成图像分割,并利用最大、最小滤波器和相关形态学处理对边缘内部区域进行填充。实验结果表明:该方法可以有效地完成局部模糊区域的检测和分割,同时对纹理平坦区域的识别同样有效。

The effects of person-organization fit on lending behaviors:Empirical evidence from Kiva

Donation-based crowdfunding,as part of impact investment,plays a vital role in promoting economic development and alleviating poverty.In order to enhance the lender's enthusiasm for lending behavior,some platforms,for example Kiva,have introduced groups to facilitate lending.This study examines how the group environment can affect the lenders’behaviors in crowdfunding.It has been found that lenders who join groups contribute 1.2 more loans(about$30-$42)per month than those who do not,but the theoretical mechanism of these differences is unclear.To understand in depth how the group environment affects lending behaviors,we introduce and develop the PersonOrganization fit theory and Free-rider theory in this study.Combining machine-learning techniques with empirical analysis,the results show that the matching degree of motivation between group and lender has a positive effect on the lender behavior,i.e.,lending to loans,and this relationship is weakened by free-riding in large groups.In addition,the group openness can have different effects on lenders of different group sizes.Our research enriches the existing crowdfunding literature and fills the gap in the research on new lending models in crowdfunding,and it will also be useful for crowdfunding platforms in setting the rules for building groups.

宅基地发展权转移交易:逻辑、演进与机制——基于“集地券”和“复垦券”的双案例比较

宅基地发展权转移交易通过闲置土地资源的优化配置,焕发“沉睡资产”的生机与活力。运用双案例对比分析方法,比较宅基地发展权转移交易“集地券”和“复垦券”的共性与异质性。研究发现:宅基地发展权转移交易是“集地券”和“复垦券”的实质核心,蕴含着增减挂钩占补平衡、土地节余指标交易、土地增值收益分配、票券利用和再利用的核心特征;“产生—交易—利用”的运作范式搭建了“集地券”和“复垦券”的逻辑流程框架,刻画了宅基地发展权转移交易的故事线;“人—地—权—利”四维要素和诱导、整治、竞合、契约、分配、共享的六大机制贯穿于整个运作流程之中。各要素、各机制、各阶段之间的相互耦合确保了政策的长效运作和目标实现。因此,应厘清宅基地发展权转移交易的逻辑、演进与机制,助推闲置宅基地的再利用和资产价值发挥,从而为政府深化土地改革提供智力支持。

全民健康与全民健身融合发展的价值定向与路径选择

全民健康与全民健身融合发展对于人民健康水平提升,实现健康中国战略具有重要意义。研究发现:全民健康与全民健身融合发展需要明确深度全民健康与全民健身的治理方式;明晰多元主体参与的角色定位。同时,全民健康与全民健身融合发展也需要以提升人民健康水平为逻辑元;以满足人民健康需求为融合逻辑;以多元主体协同合作为供给逻辑。建议:明确全民健康与全民健身融合的发展思路;健全全民健康与全民健身融合发展的治理框架;构建全民健康与全民健身融合发展的服务模式。

新时代甘肃省基层体育社会组织创新发展研究

梳理新时代基层体育社会组织能够保证国家基本体育政策得以落地生效,有利于体育法律法规得到贯彻和落实,有助于促进社会公共体育建设发展,开创新时期基层体育高质量发展的新格局。分析甘肃省基层体育社会组织发展面临的基层体育社会组织政府职能承接不够完善、服务能力不足、各类经费资源严重短缺、组织体制与构架不完善、组织融入全民健身的环境缺失等困境,提出构建基层体育社会组织和政府与民众之间的连接、提升组织运行的透明度、提供经费保障及规范组织人才队伍建设、营造良好组织与全民健身融合社会环境的创新发展路径,以助力全民健身实现新的发展。

适应度步长的全局局部协同优化算法

针对现有优化算法求解精度低的问题,提出一种适应度步长的全局局部协同优化算法.该算法通过均衡化个体适应度,动态分配每次迭代中个体的全局搜索步长和局部搜索步长,实现了算法在解空间内全局搜索和局部搜索的有效协同,进而提升了求解精度.实验结果表明,该算法在基准函数测试中展现了较高的精度和良好的稳定性,并通过仿真实验验证了其在解决复杂工程优化问题中的有效性.