恩格斯历史合力论核心观点解析

恩格斯历史合力论认为,各种因素相互作用的历史合力是社会发展的终极原因,在历史合力的诸因素中经济因素归根结底起决定作用,而在具体历史时期具体起主导作用的因素是可变的。     

Technical note: Worst‐case performance of power‐of‐two policies for serial inventory systems with incremental quantity discounts

This study presents power‐of‐two policies for a serial inventory system with constant demand rate and incremental quantity discounts at the most upstream stage. It is shown that an optimal solution is nested and follows a zero‐inventory ordering policy. To prove the effectiveness of power‐of‐two policies, a lower bound on the optimal cost is obtained. A policy that has a cost within 6% of the lower bound is developed for a fixed base planning period. For a variable base planning period, a 98% effective policy is provided. An extension is included for a system with price dependent holding costs. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

几类基本学习认知模型

本文给出了几个类型的学习认知模型,并加以讨论     

用配点法求解四边搁支板的弯曲问题

根据弹性薄板微分方程的一般解和边界条件的配点法来求四边搁支板的弯曲问题,并以对称荷载作用下的正方形板为例进行了分析计算。     

用户偏好提取MDP建模研究

将马尔可夫判决过程和智能强化学习算法相结合,给出了异构无线网络环境下用户业务偏好评估模型的技术框架。为动态环境下用户需求的感知、量化和适配特征的研究提供了基本的数学描述,对解决用户体验的评价问题和业务与业务环境的适配问题提供了新的研究思路。仿真结果表明所构建的MDP模型能够在多状态条件下学习用户偏好,根据用户需求智能选择业务。     

Gabor-CNN for object detection based on small samples

Object detection models based on convolutional neural networks (CNN) have achieved state-of-the-art performance by heavily rely on large-scale training samples. They are insufficient when used in specific applications, such as the detection of military objects, as in these instances, a large number of samples is hard to obtain. In order to solve this problem, this paper proposes the use of Gabor-CNN for object detection based on a small number of samples. First of all, a feature extraction convolution kernel library composed of multi-shape Gabor and color Gabor is constructed, and the optimal Gabor convolution kernel group is obtained by means of training and screening, which is convolved with the input image to obtain feature information of objects with strong auxiliary function. Then, the k-means clustering algorithm is adopted to construct several different sizes of anchor boxes, which improves the quality of the regional proposals. We call this regional proposal process the Gabor-assisted Region Proposal Network (Gabor-assisted RPN). Finally, the Deeply-Utilized Feature Pyramid Network (DU-FPN) method is proposed to strengthen the feature expression of objects in the image. A bottom-up and a top-down feature pyramid is constructed in ResNet-50 and feature information of objects is deeply utilized through the transverse connection and integration of features at various scales. Experimental results show that the method proposed in this paper achieves better results than the state-of-art contrast models on data sets with small samples in terms of accuracy and recall rate, and thus has a strong application prospect.     

Stage life testing

In progressive censoring, items are removed at certain times during the life test. Commonly, it is assumed that the removed items are used for further testing. In order to take into account information about these additional testing in inferential procedures, we propose a two‐step model of stage life testing with one fixed stage‐change time which incorporates information about both the removed items (further tested under different conditions) and those remaining in the current life test. We show that some marginal distributions in our model correspond either to progressive censoring with a fixed censoring time or to a simple‐step stress model. Furthermore, assuming a cumulative exposure model, we establish exact inferential results for the distribution parameters when the lifetimes are exponentially distributed. An extension to Weibull distributed lifetimes is also discussed.     

单航天器无需变轨与Walker星座多星交会的充分条件及特性分析

以Walker星座为研究对象,对单航天器无需变轨实现多星交会的问题展开研究。从Walker星座相位同构特性出发,得到了单航天器无需变轨能够对多颗星座卫星交会的充分条件,对交会的星座卫星的数目和星座卫星组合等问题进行了研究。在此基础上,提出了利用解析法求解交会轨道的轨道设计方法,并对交会轨道的特性进行了分析。对交会更多星座卫星(大于3颗)的可能性展开了讨论。研究结果可为单航天器无需变轨对星座多星交会提供理论依据。     

外语受蚀时间对语言学习策略使用频率的影响

调查外语受蚀时间对语言学习策略使用频率的影响。调查发现,学习者学习策略的使用频率,特别是记忆策略、认知策略和补偿策略的使用频率,随着受蚀时间的增加逐渐降低。     

有效运用信息交流技术提高外语学习效果浅探

当今社会,技术日新月异,彻底改变着经济、社会、政治和文化生活,也极大地影响着教育。那么,如何充分利用新技术为教学服务,已经成为当今教育工作者研究的一个重要课题。长期以来,技术只是作为一种辅助工具使用于教学中,对它的研究没有上升到教学法的角度。因此,它在外语教学中的巨大作用远远没有被开发和有效利用。本文旨在探讨如何有效利用信息交流技术（ICT）,极大地丰富教学和学习过程,使它更好地为教学对象服务,提高外语学习效果。