食品检测咀嚼机器人灵活性分析与运动仿真

为了解决目前食品检测中检测不准确,反馈速度慢,评价不客观等问题,设计了基于Stewart平台的咀嚼仿生机 器人;介绍了咀嚼仿生机器人的工作原理;推导了机构的雅克比矩阵;分析了机构在中位时的局部灵活性;建立了仿真咀 嚼平台的虚拟样机模型;模拟了下颌简单的张合运动。仿真结果表明驱动杆的各种物理量变化曲线与人类真实咀嚼运 动比较吻合,机构的设计合理可靠。该机构能准确、快速、客观地实现食品的检测。     

基于移动终端的亲子教育软件理论模型的设计研究

随着社会信息化与多媒体技术的高速发展,移动终端已成为家长与儿童在业余时间最经常使用的设备之一。文章基于移动学习与娱教整合技术的研究,以移动设备为开发环境,以教育活动与亲子互动为研究对象,研究设计一款有效促进亲子关系、提高儿童学习兴趣的应用软件模型,为校内与校外、学习与生活、教育与娱乐的融合提供支持,同时,帮助家长与儿童交流与学习,取得共同进步。     

Diagnostics in multivariate generalized Birnbaum-Saunders regression models

Birnbaum–Saunders (BS) models are receiving considerable attention in the literature. Multivariate regression models are a useful tool of the multivariate analysis, which takes into account the correlation between variables. Diagnostic analysis is an important aspect to be considered in the statistical modeling. In this paper, we formulate multivariate generalized BS regression models and carry out a diagnostic analysis for these models. We consider the Mahalanobis distance as a global influence measure to detect multivariate outliers and use it for evaluating the adequacy of the distributional assumption. We also consider the local influence approach and study how a perturbation may impact on the estimation of model parameters. We implement the obtained results in the R software, which are illustrated with real-world multivariate data to show their potential applications.     

On Local Power Properties of Frequency Domain‐based Tests for Stationarity

A framework for the asymptotic analysis of local power properties of tests of stationarity in time series analysis is developed. Appropriate sequences of locally stationary processes are defined that converge at a controlled rate to a limiting stationary process as the length of the time series increases. Different interesting classes of local alternatives to the null hypothesis of stationarity are then considered, and the local power properties of some recently proposed, frequency domain‐based tests for stationarity are investigated. Some simulations illustrate our theoretical findings.     

A Framework for Monte Carlo based Multiple Testing

We are concerned with a situation in which we would like to test multiple hypotheses with tests whose p‐values cannot be computed explicitly but can be approximated using Monte Carlo simulation. This scenario occurs widely in practice. We are interested in obtaining the same rejections and non‐rejections as the ones obtained if the p‐values for all hypotheses had been available. The present article introduces a framework for this scenario by providing a generic algorithm for a general multiple testing procedure. We establish conditions that guarantee that the rejections and non‐rejections obtained through Monte Carlo simulations are identical to the ones obtained with the p‐values. Our framework is applicable to a general class of step‐up and step‐down procedures, which includes many established multiple testing corrections such as the ones of Bonferroni, Holm, Sidak, Hochberg or Benjamini–Hochberg. Moreover, we show how to use our framework to improve algorithms available in the literature in such a way as to yield theoretical guarantees on their results. These modifications can easily be implemented in practice and lead to a particular way of reporting multiple testing results as three sets together with an error bound on their correctness, demonstrated exemplarily using a real biological dataset.     

“汽车电子与仿真测试”课程中活动引导式教学方法的应用与实践

活动引导式教学法是一种教师在教学过程中,发挥引导作用,在强化学生主体地位的同时,为学生提供特定的学习情景,提高学生的自主学习能力,加深学生对知识的理解以及对实际技能的掌握的一种教学方法。在分析上海理工大学光电学院"汽车电子与仿真测试"课程教学现状的基础上,介绍了活动引导式教学的相关概念,引出了行为活动式教学法在"汽车电子与仿真测试"课程教学中的应用与实践。     

监管沙盒持续测试企业承诺适用范围确立规则∗

“监管沙盒”是促进金融科技发展、缓和法律滞后性的创新性金融监管方式。 其中,退出制度 作为“监管沙盒”的闭环制度是其核心内容,而持续测试企业承诺制度则是完善和丰富退出制度的重要 内容。 构建持续测试企业承诺制度,首先应解决其适用范围问题。 基于此,我国应从顶层设计出发,通过 立法控制与执法裁量规则,制定概括性条款对持续测试企业承诺制度的适用范围进行初步规制,并给予 监管机构自由裁量权;再通过反面排除与正面适用规则对持续测试企业承诺制度的适用范围进行具体规 制;最终形成一套自上而下、张弛有度的持续测试企业承诺制度确立规则,科学且完善地对持续测试企业 承诺制度的适用范围进行限制。     

A flexible multi‐domain test with adaptive weights and its application to clinical trials

The design of a clinical trial is often complicated by the multi‐systemic nature of the disease; a single endpoint often cannot capture the spectrum of potential therapeutic benefits. Multi‐domain outcomes which take into account patient heterogeneity of disease presentation through measurements of multiple symptom/functional domains are an attractive alternative to a single endpoint. A multi‐domain test with adaptive weights is proposed to synthesize the evidence of treatment efficacy over numerous disease domains. The test is a weighted sum of domain‐specific test statistics with weights selected adaptively via a data‐driven algorithm. The null distribution of the test statistic is constructed empirically through resampling and does not require estimation of the covariance structure of domain‐specific test statistics. Simulations show that the proposed test controls the type I error rate, and has increased power over other methods such as the O'Brien and Wei‐Lachin tests in scenarios reflective of clinical trial settings. Data from a clinical trial in a rare lysosomal storage disorder were used to illustrate the properties of the proposed test. As a strategy of combining marginal test statistics, the proposed test is flexible and readily applicable to a variety of clinical trial scenarios.     

网络计划技术CAI课件的设计与开发

文中介绍了管理工程专业生产管理课程网络计划技术CAI课件的设计,以及运用Authorware开发该课件的全过程。     

支撑板制造质保软件可靠性评估的模糊层次分析

用模糊层次分析法建立了管子支撑板制造质保软件的可靠性评估模型，并以实例求解。