数据结构中二叉树的生成及遍历非递归算法浅析

本文主要介绍数据结构中二叉树的生成,以及二叉树的先序、中序和后序的非递归算法。     

浅谈coreldraw教学以中学生为中心的具体体现

Coreldraw的教学比较注重实际操作能力,与传统科目的教学不同,它更应该以学生为教学的中心。所以在教学过程中要注意教学方式的改变。本文就coreldraw教学中如何做到以学生为中心做简单论述。     

任务驱动教学法在计算机语言教学中的探索

任务驱动教学法是建立在建构主义学习理论基础上的教学模式,将知识的学习放置于具体问题解决上来,通过学生自身或小组协作,来完成任务.在学习计算机编程的课程时,使用任务驱动法教学,可以大大提高教学效果,同时又能培养一种良好的团队精神,体现以学生的全面发展为中心的教育思想.     

On Controllability of Switched Linear Systems

This paper investigates the number of switchings and design of switching sequences for controllability of switched linear systems. Two related results are established. One is a new constructive approach to designing switching sequences. The controllable state set of each switching sequence designed via the approach coincides with the controllable subspace of switched linear systems. The other is a well-estimated value for the minimum number of switchings required for controllability. Each state in the controllable subspace can be steered to origin within this value of switching times.     

An application of MODIS data to snow cover monitoring in a pastoral area: A case study in Northern Xinjiang, China

Snow is an important land cover on the earth's surface. It is characterized by its changing nature. Monitoring snow cover extent plays a significant role in dynamic studies and prevention of snow-caused disasters in pastoral areas. Using NASA EOS Terra/MODIS snow cover products and in situ observation data during the four snow seasons from November 1 to March 31 of year 2001 to 2005 in northern Xinjiang area, the accuracy of MODIS snow cover mapping algorithm under varied snow depth and land cover types was analyzed. The overall accuracy of MODIS daily snow cover mapping algorithm in clear sky condition is high at 98.5%; snow agreement reaches 98.2%, and ranges from 77.8% to 100% over the 4-year period for individual sites. Snow depth (SD) is one of the major factors affecting the accuracy of MODIS snow cover maps. MODIS does not identify any snow for SD less than 0.5 cm. The overall accuracy increases with snow depth if SD is equal to or greater than 3 cm, and decreases for SD below 3 cm. Land cover has an important influence in the accuracy of MODIS snow cover maps. The use of MOD10A1 snow cover products is severely affected by cloud cover. The 8-day composite products of MOD10A2 can effectively minimize the effect of cloud cover in most cases. Cloud cover in excess of 10% occurs on 99% of the MOD10A1 products and 14.7% of the MOD10A2 products analyzed during the four snow seasons. User-defined multiple day composite images based on MOD10A1, with flexibilities of selecting composite period, starting and ending date and composite sequence of MOD10A1 products, have an advantage in effectively monitoring snow cover extent for regional snow-caused disasters in pastoral areas.     

Exaggerating Character Motions Using Sub‐Joint Hierarchy

Motion capture cannot generate cartoon‐style animation directly. We emulate the rubber‐like exaggerations common in traditional character animation as a means of converting motion capture data into cartoon‐like movement. We achieve this using trajectory‐based motion exaggeration while allowing the violation of link‐length constraints. We extend this technique to obtain smooth, rubber‐like motion by dividing the original links into shorter sub‐links and computing the positions of joints using Bézier curve interpolation and a mass‐spring simulation. This method is fast enough to be used in real time.     

EBJ-132A型掘进机工作机构控制系统的研究

探讨了自动完成悬臂式掘进机的巷道断面自动成形,提出了根据不同煤岩分布调整悬臂摆动速度来达到截割主电机恒功率控制的方法.所设计的系统可以根据用户输入的断面形状和参数自动完成巷道断面的成形,实现不同巷道煤岩分布情况下能够自动调节进给速度的功能,达到降低功率损失、提高工作效率及自动化的目的.为实现机掘巷道自动化和无人化提供了一种切实可行的方法.     

SCA硬件抽象层接口设计

随着软件通信体系结构的广泛研究和应用,为在包含特定硬件单元的SCA硬件平台上实现不同计算单元上组件间管理的统一性和通信的标准化,提高波形应用在不同的硬件平台上的可移植性和重用性,软件通信体系结构引入了硬件抽象层的概念.该文以通用处理器和DSP为例,描述硬件抽象层的功能及其在通用处理器GPP和DSP上的API实现.     

面向航空电子的分区操作系统

伴随新一代航空电子的综合化趋势,机载软件对机载操作系统提出新的要求.通过管理系统的软硬件资源,包括内存、CPU、通信等,机载操作系统将各类机载软件融合在同一个CPU上,实现综合化.该文给出一种面向航空电子的分区操作系统的实现框架,支持二级调度,对于各类机载软件实施分区调度,并且分区的运行互不干扰,保证了分区的安全性.     

Real-time reliability prediction for dynamic systems with both deteriorating and unreliable components

As an important technology for predictive maintenance, failure prognosis has attracted more and more attentions in recent years. Real-time reliability prediction is one effective solution to failure prognosis. Considering a dynamic system that is composed of normal, deteriorating and unreliable components, this paper proposes an integrated approach to perform real-time reliability prediction for such a class of systems. For a deteriorating component, the degradation is modeled by a time-varying fault process which is a linear or approximately linear function of time. The behavior of an unreliable component is described by a random variable which has two possible values corresponding to the operating and malfunction conditions of this component. The whole proposed approach contains three algorithms. A modified interacting multiple model particle filter is adopted to estimate the dynamic system’s state variables and the unmeasurable time-varying fault. An exponential smoothing algorithm named the Holt’s method is used to predict the fault process. In the end, the system’s reliability is predicted in real time by use of the Monte Carlo strategy. The proposed approach can effectively predict the impending failure of a dynamic system, which is verified by computer simulations based on a three-vessel water tank system.