基于一种半开式滑槽球副的3-PSP并联平台设计

提出在并联机构中应用一种1移动3转动半开式滑槽球副结构,该运动副将1个移动副和1个球副集成为一个复合的运动副,可以缩短并联机构中支链的尺寸链,有助于提高并联机构精度。基于半开式滑槽球副设计了一种3自由度(3-DOF)PSP三轴并联平台,通过对此机构进行的运动分析和支链的精度分析,导出各个支链的逆解方程,同时根据影响支链运动精度的各个因素给出支链系统误差的线性补偿方程,证明此并联机构具有易于控制、运动精度高的优势。     

3D打印中CAD文件的定性与复制问题研究

3D打印技术的发展使著作权法上的复制变得更为高效便捷,由此产生了一系列亟待梳理和解决的问题。基于3D打印技术原理,可将其分为输入和输出两个环节。在输入环节,对CAD文件的作品类型进行规制,采用视觉标准界定立体作品,并以“美术作品+模型作品”的思路进行综合保护;在输出环节,3D打印属于复制,且可以实现从平面到立体和从立体到立体的复制形态,复制权的控制范围应不限于现行法律所列举的方式。针对3D打印技术在网络传播中的侵权风险,应对合理使用中的私人复制予以限制,灵活运用“三步检验标准”对合理性进行审查。3D打印在著作权法方面并未引发新的法律问题,现行制度已存在包容空间,不必为其特设著作权新规,通过对现有规则的解释和借助已有案例的适用经验便能解决可预见的著作权法争端。     

生态翻译视域下隐喻翻译研究——以《围城》英译本为例

隐喻作为一个非常巧妙的语言应用现象,非常值得研究。本文拟从生态翻译学对其进行研究。生态翻译学是一个从生态学角度研究翻译活动、翻译现象和翻译理论的新的研究范式。本文着重从适应/选择,三维转换和整体/关联的角度对《围城》这一文学巨著中典型的隐喻现象的翻译进行讨论,旨在开拓隐喻研究的新视角     

基于CAN总线的隧道通风监测系统设计

为了实现隧道通风监测系统的高安全可靠性、远距离信息传输、多节点网络监测等要求,提出了基于CAN总线 技术的隧道通风监控系统。设计了基于CAN总线技术的控制系统硬件结构,介绍了烟雾和温度检测原理;设计了基于 CAN总线的通风系统监测节点;设计了工控机与CAN总线通信接口适配卡;设计了系统主程序、事件检查和处理子程序 的流程图。应用结果表明该系统具有传输距离远、监测网络节点多等特点,大大提高了系统的实时性和可靠性。     

论十七年文学的忧患意识——兼与夏志清教授商榷

夏志清教授曾认为“感时忧国”精神是中国现代文学的主要特征,其他各历史阶段的文学是不存在该精神的。但是,如果仔细辨析“感时忧国”精神的源流,深入分析十七年文学相关文本,我们会发现该精神不过是积淀在中国知识分子思想深层的忧患意识在新的历史条件下的置换与发展,它在十七年文学中并没有全然消失而是得到了一定程度的继承。对此,夏志清的相关文章也是充满悖论的。     

莫言小说《丰乳肥臀》中的3D细节描写

3D细节描写是一种立体的3D视角,能将平面的画面直观地显现成3维的立体画面。《丰乳肥臀》中有大量的细节描写,有一部分是明显的3D描写,让读者融入情景、直观感受。尽管莫言不是有意识进行3D描写,但有意识地立体地细节描写写出了3D效果。     

Central tendency bias in belief elicitation

We conduct an experiment in which subjects participate in a first-price auction against an automaton that bids randomly in a given range. The subjects first place a bid in the auction. They are then given an incentivized elicitation of their beliefs of the opponent’s bid. Despite having been told that the bid of the opponent is drawn from a uniform distribution, we find that a majority of subjects report beliefs that have a peak in the interior of the range. This result is robust across seven different experimental treatments. While not expected at the outset, these single-peaked beliefs have precedence in the experimental psychology judgments literature. Our results suggest that an elicitation of probability beliefs can result in responses that are more concentrated than the objectively known or induced truth. We provide indicative evidence that such individual belief reports can be rationalized by well-defined subjective beliefs that differ from the objective truth. Our findings offer an explanation for the conservatism and overprecision biases in Bayesian updating. Finally, our findings suggest that probabilistic forecasts of uncertain events might have less variance than the actual events.     

Variance estimation based on blocked 3×2 cross-validation in high-dimensional linear regression

In high-dimensional linear regression, the dimension of variables is always greater than the sample size. In this situation, the traditional variance estimation technique based on ordinary least squares constantly exhibits a high bias even under sparsity assumption. One of the major reasons is the high spurious correlation between unobserved realized noise and several predictors. To alleviate this problem, a refitted cross-validation (RCV) method has been proposed in the literature. However, for a complicated model, the RCV exhibits a lower probability that the selected model includes the true model in case of finite samples. This phenomenon may easily result in a large bias of variance estimation. Thus, a model selection method based on the ranks of the frequency of occurrences in six votes from a blocked 3×2 cross-validation is proposed in this study. The proposed method has a considerably larger probability of including the true model in practice than the RCV method. The variance estimation obtained using the model selected by the proposed method also shows a lower bias and a smaller variance. Furthermore, theoretical analysis proves the asymptotic normality property of the proposed variance estimation.     

A general central limit theorem and a subsampling variance estimator for α‐mixing point processes

We establish a central limit theorem for multivariate summary statistics of nonstationary α‐mixing spatial point processes and a subsampling estimator of the covariance matrix of such statistics. The central limit theorem is crucial for establishing asymptotic properties of estimators in statistics for spatial point processes. The covariance matrix subsampling estimator is flexible and model free. It is needed, for example, to construct confidence intervals and ellipsoids based on asymptotic normality of estimators. We also provide a simulation study investigating an application of our results to estimating functions.     

On a control chart for the Gini index with simulations

In this work we suggest the use of the Gini index on control charts. The asymptotic properties of Gini index are presented and the control charts based on appropriate confidence intervals are constructed. The suitability of the proposed charts are investigated by means of extensive simulations.