巡航导弹机动地形相关系统

研究了一种适用于巡航导弹辅助导航的机动地形相关系统(MTCS)。介绍了 MTCS的工作原理、相关定位算法以及提高定位概率的技术途径,指出了系统设计中的关键技术。另外还讨论了 MTCS 的计算机运算,研究结论对地形辅助系统的设计有参考价值。     

Mechanical stretch induces hypertrophic responses in cardiac myocytes of angiotensin II type 1a receptor knockout mice

Many lines of evidence have suggested that angiotensin II (AngII) plays an important role in the development of cardiac hypertrophy through AngII type 1 receptor (AT1). To determine whether AngII is indispensable for the development of mechanical stress-induced cardiac hypertrophy, we examined the activity of mitogen-activated protein kinase (MAPK) family and the expression of the c-fos gene as hypertrophic responses after stretching cultured cardiac myocytes of AT1a knockout (KO) mice. When cardiac myocytes were stretched by 20% for 10 min, extracellular signal-regulated protein kinases (ERKs) were strongly activated in KO cardiomyocytes as well as wild type (WT) myocytes. Both basal and stimulated levels of ERKs were higher in cardiomyocytes of KO mice than in those of WT mice. Activation of another member of the MAPK family, p38(MAPK), and expression of the c-fos gene were also induced by stretching cardiac myocytes of both types of mice. An AT1 antagonist attenuated stretch-induced activation of ERKs in WT cardiomyocytes but not in KO cardiomyocytes. Down-regulation of protein kinase C inhibited stretch-induced ERK activation in WT cardiomyocytes, whereas a broad spectrum tyrosine kinase inhibitor (genistein) and selective inhibitors of epidermal growth factor receptor (tyrphostin, AG1478, and B42) suppressed stretch-induced activation of ERKs in KO cardiac myocytes. Epidermal growth factor receptor was phosphorylated at tyrosine residues by stretching cardiac myocytes of KO mice. These results suggest that mechanical stretch could evoke hypertrophic responses in cardiac myocytes that lack the AT1 signaling pathway possibly through tyrosine kinase activation.     

程控交换机收号系统模拟的研究

本文提出了一种模拟程控交换机收号系统的有效方法,采用消息驱动收号事件表的思想,运用并发控制技术,实现了在没有话路硬设备的条件下多用户同时拨号在线模拟收号控制的功能。本文提出的收号系统模拟方案已成功应用于某国产中大容量程控交换机的呼叫模拟系统中。     

网络环境下计算机信息安全分析

随着网络信息技术的不断发展,人们对于网络信息的需求与依赖性逐渐增强。然而,网络在带给人们便利的同时,也带来了很多的不安全因素,主要表现在信息泄露、信息篡改、非法占有网络信息与网络资源等。因计算机信息安全隐患的存在,个人、企业遭受"攻击"的计算机信息安全事件时有发生,并造成了巨大的经济损失。因此,加强网络环境下的计算机信息安全管理工作就显得很有必要。本文就网络环境下计算机信息安全问题展开探讨。     

带缓变参数的广义系统的弱稳定性*

本文利用“冻结系数法”讨论了带缓变参数的广义系统的稳定性,提出了所谓弱稳定性的概念,得出了广义系统弱稳定的充分条件,并将结果推广到了一类非线性情形。     

An online multiple object tracker based on structure keeper net

We propose a novel online multiple object tracker taking structure information into account. State-of-the-art multi-object tracking (MOT) approaches commonly focus on discriminative appearance features, while neglect in different levels structure information and the core of data association. Addressing this, we design a new tracker fully exploiting structure information and encoding such information into the cost function of the graph matching model. Firstly, a new measurement is proposed to compare the structure similarity of two graphs whose nodes are equal. With this measurement, we define a complete matching which performs association in high efficiency. Secondly, for incomplete matching scenarios, a structure keeper net (SKnet) is designed to adaptively establish the graph for matching. Finally, we conduct extensive experiments on benchmarks including MOT2015 and MOT17. The results demonstrate the competitiveness and practicability of our tracker.

     

融合信任关系与评论文本的矩阵分解推荐算法

针对推荐系统中用户评分数据稀疏所导致推荐结果不精确的问题,本文尝试将用户评分、信任关系和项目评论文本信息融合在概率矩阵分解方法中以缓解评分数据稀疏性问题.首先以共同好友数目及项目流行度改进皮尔逊用户偏好相似程度并将其作为用户间的直接信任值,然后考虑用户间信任传播过程中所有路径的影响构建新的信任网络;其次通过BERT预训练(Pre-training of Deep Bidirectional Transformers for Language Understanding)模型提取项目的评论文本向量,构造项目的评论文本特征矩阵;最后基于概率矩阵分解(Probabilistic Matrix Factorization,PMF)模型融合用户的评分数据、用户的信任关系以及项目的评论文本信息进行推荐.通过不断的理论分析并在真实的Yelp数据集上进行实验验证,均表明本文算法的有效性.     

云计算安全需求分析研究

云计算是当下发展迅速的信息技术之一。由于其外包式的服务方式,云计算中的安全问题受到人们格外关注。只有妥善地保障云计算的安全,才不会掣肘云计算的发展和推广。鉴于云计算的复杂性和多面性,文章着眼云计算有别于传统技术的新特点、新趋势,首先提出了考量云计算安全需求的多维视角,随后围绕云计算具体实施过程中的若干关键技术,对云计算中的安全需求进行了细致全面的分析和阐释。     

Feature Extraction Using a Complete Kernel Extension of Supervised Graph Embedding

In this article, the kernel-based methods explained by a graph embedding framework are analyzed and their nature is revealed, i.e. any kernel-based method in a graph embedding framework is equivalent to kernel principal component analysis plus its corresponding linear one. Based on this result, the authors propose a complete kernel-based algorithms framework. Any algorithm in our framework makes full use of two kinds of discriminant information, irregular and regular. The proposed algorithms framework is tested and evaluated using the ORL, Yale and FERET face databases. The experiment results demonstrate the effectiveness of our proposed algorithms framework.     

The modeling and implementation of tri-rotor flying robot

The objective of this study is to develop a tri-rotor flying robot, which adopts the Y-shaped three-rotor structure. In order to balance the yaw torque produced by the three rotors, the RC servomotor and linkage is installed on the tail axis in order to improve the angle of the rolling axis of the tail motor. Moreover, through the torque generated by the horizontal component of the lift from the inclined motor on the tail axis, it balances the yaw torque of the three rotors. The dynamic equations of the tri-rotor flying robot are determined in this paper. The relationship between motor thrust, angular acceleration, and voltage input was also studied in this research. In order to study the effect of control parameters on the flight stability completely, this study develops a universal stability experimental platform to help tuning the control parameters safely. Based on this, the tri-rotor flying robot can rapidly change flying gesture and avoid oscillation. Finally, we conducted some indoor and outdoor flight tests. From the experimental results, the tri-rotor flying robot can fly and hover stably in the sky.