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     

定子绕组传输特性分析时的等效电路参数计算

多导体传输线理论是分析电机定子绕组传输特性的一种有效方法。本文提出了利用多导体传输线理论来分析电机定子绕组传输特性时的等效电路参数计算方法。     

大口径机枪弹性枪架稳定性分析的冲量法

大口径机枪在弹性枪架上射击稳定性的问题,是影响连发射击精度的一个重要问题,按传统方法以最大后座力或自动机后座到位的瞬间作用校核稳定性,其结果与实际射击现象不符。本文在分析大量实验现象后,提出稳定性分析计算中的冲量法,并以12.7mm 大口径机枪为例进行检验,结果与实验现象相符.     

Single machine sequencing with linear models of release dates

The paper deals with a problem of scheduling a set of jobs on a single machine. Before a job is released for processing, it must undergo some preprocessing treatment that consumes resources. It is assumed that the release date of a job is a linear decreasing continuous function of the amount of a locally and globally constrained, continuously divisible resource (e.g., energy, catalyzer, financial outlay, gas). The problem is to find a sequence of jobs and a resource allocation that will minimize the maximum job completion time. Such a problem appears, for example, in the ingot preheating and hot-rolling process in steel mills. It is shown that the problem is strongly NP-hard. Some polynomially solvable cases of the problem and approximate algorithms with both experimental and worst-case analysis are presented. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 99–113, 1998     

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。     

ASLR机制脆弱性自动分析方法

地址随机化是一种针对控制流劫持漏洞的防御机制。已有的漏洞自动分析与利用技术缺少对地址随机化机制影响的分析,导致生成的测试用例在实际环境中的运行效果受到极大限制。针对地址随机化的缺陷及其绕过技术的特点,提出了一种地址随机化脆弱性分析方法。该方法使用有限状态机描述程序运行路径中各关键节点的状态;针对常见的内存泄漏与控制流劫持场景建立约束条件;通过求解内存泄漏状态约束与控制流劫持状态约束的兼容性,分析地址随机化机制在特定场景下的脆弱性。实验结果表明,该方法可有效检测通过内存泄漏导致的地址随机化绕过及控制流劫持攻击,实现自动化的地址随机化脆弱性分析,提高针对软件安全性分析的效率。     

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.     

依据心理学原理激发学生的学习动机

学习动机是直接推动学生进行学习的内部动力,学习动机与学习成绩显著相关,是学生学业的一个重要决定因素。兴趣、自我效能感、学习的价值感等内在动机对学习的作用更直接有效,而目标、教师期望、表扬和奖励等外部激励如果使用得当同样可以对学习产生积极的影响。根据心理学原理,我们可以通过培养学生对学习的兴趣、帮助学生建立自我效能感、养成正确的学习价值观、树立有效的学习目标、给予学生合理的期望等方法,来培养和激发学生的学习动机。     

公共事业管理专业读书（文献阅读）训练探析

专业读书训练是公共事业管理专业的重要教学内容。本文在探讨专业读书教学目的和意义的同时,并提出了读书训练的原则、内容和方法,旨在帮助公共事业管理专业学生形成未来的公共事务管理者所需的职业素养。     

论社会主义核心价值体系的理论特征及其价值本质

社会主义核心价值体系在理论特征上深刻体现了社会主义本质,这必然在价值关系中为理解社会主义核心价值体系的价值本质奠定了基础。社会主义核心价值体系的价值本质不仅是一种真实的主客体关系,也是一种具有教育属性的价值旨趣与具有优先选择的公共价值。