一种可靠的MDIO接口逻辑设计

本文介绍了一种可靠的MDIO 接口逻辑设计的方法。目前已使用在AFDX交换机专用集成电路芯片上。该设计采用VHDL 进行描述,并使用Modelsim进行了仿真,结果表明,该设计的正确性和可靠性。同时在AFDX交换机板级调试过程中,也验证了设计的正确性。     

图样的知识目标分类与例证性分析

根据教育目标分类学的观点分解课程教学目标，再分别对分解的目标进行例证性分析，能更客观地验证教育目标的实效性和教育过程的可行性。本文通过对图样的知识目标分类与例证性分析，为工程图学教育目标检测做一尝试。     

工业工程在重新规划和改进钣金车间生产现场中的应用

通过分析对比，详细介绍了南飞公司应用工业工程重新规划和改进钣金车间生产现场的作法，以及所取得的技术经济效果。     

提高企业标准化人员素质刍议

以企业市场竞争能力与标准化工作的关系为切入点，论述了在市场经济条件下，如何提高企业标准化人员的素质问题。     

管理软件生成器系统CDBAG—4GL

阐述了“管理软件生成器系统CDBAG-4GL”的研制背景、系统组成、逻辑结构、功能及特点;并简要介绍了设计思想、生成原理以及实现技术要点等。“CD-BAG一4GL”已商品化,它可根据用户要求自动生成各类专用的管理信息系统。为应用开发人员和最终用户提供一个一体化的通用的快速开发工具和环境。作为第四代软件开发工具的生成器和第四代语言是提高应用开发效率和质量的有效途径。     

供应链需求信息的信息增量与信息价值

基于信息科学的理论,给出供应链需求信息的信息增量与信息价值的定义和度量方法.建立供应链上的一个批发商订货决策模型,揭示了需求信息在订货决策过程中是如何发挥作用,以及批发商的期望收益是如何随之发生变化的.针对均匀分布和正态分布两种典型的需求分布,分析信息对于供应链成员的价值,进而研究需求信息的信息增量与其信息价值之间的关系.公式推导和模拟实验结果都证明需求信息的价值与其信息增量的大小之间存在正相关关系,表明信息增量会影响信息使用者的收益.研究结果也证明对于供应链成员而言很有必要建立一个有效的信息评价体系,通过提高决策信息质量来增加收益.      

Advanced fractal approach for unsupervised classification of SAR images

Unsupervised classification of Synthetic Aperture Radar (SAR) images is the alternative approach when no or minimum apriori information about the image is available. Therefore, an attempt has been made to develop an unsupervised classification scheme for SAR images based on textural information in present paper. For extraction of textural features two properties are used viz. fractal dimension D and Moran’s I. Using these indices an algorithm is proposed for contextual classification of SAR images. The novelty of the algorithm is that it implements the textural information available in SAR image with the help of two texture measures viz. D and I. For estimation of D, the Two Dimensional Variation Method (2DVM) has been revised and implemented whose performance is compared with another method, i.e., Triangular Prism Surface Area Method (TPSAM). It is also necessary to check the classification accuracy for various window sizes and optimize the window size for best classification. This exercise has been carried out to know the effect of window size on classification accuracy. The algorithm is applied on four SAR images of Hardwar region, India and classification accuracy has been computed. A comparison of the proposed algorithm using both fractal dimension estimation methods with the K-Means algorithm is discussed. The maximum overall classification accuracy with K-Means comes to be 53.26% whereas overall classification accuracy with proposed algorithm is 66.16% for TPSAM and 61.26% for 2DVM.     

Capillary flow rate limitation in asymmetry open channel

This paper focuses on the stability of capillary forced flow.In space,open capillary channels are widely used as the liquid and gas separation devices to manage liquid positioning and transportation.Surface collapse happens when the flow rate exceeds the critical value,leading to a failure of propellant management.Knowledge of flow rate limitation is of great significance in design and optimization of propellant management devices(PMDs).However,the capillary flow rate limitation in an asymmetry channel has not been studied yet in the literature.In this paper,by introducing an equivalent angle to convert the asymmetry corner to a symmetry one,the one-dimensional theoretical model is developed.The flow rate limitation can then be investigated as a function of the channel geometry as well as liquid property based on the model.Comparisons between the asymmetry and symmetry channels bring forth the characteristics of the two kinds of channels,and demonstrate good accordance between the new advanced model and the existing one in the literature.This theoretical model can provide valuable reference for PMD designers.     

基于Netlogo的终端区进场交通流建模与仿真

终端区进场交通流特性参数研究对于解决复杂空域结构下航空器拥堵、航班延误具有重要的实际意义。基于元胞传输模型将进场航线划分元胞,并且在数理推导的基础上,基于Netlogo仿真建模平台搭建进场交通流元胞传输模型仿真环境,对进场交通流的宏观涌现行为进行仿真模拟,得到交通流基本参数速度、流量、密度之间演变趋势。研究结果表明,终端区进场交通流三大基本参数之间存在明显的数量关系,关系曲线相对应分为自由流、拥挤流和阻塞流三种状态,并且受到管制间隔、飞行程序、管制策略的影响。利用相关研究成果,可通过改变管制策略、调整管制间隔、优化飞行程序的方法使得交通流特性向着可预知的方向演变,因此对终端区交通态势的判断具有应用价值。     

天气因素导致的航班延误问题研究

针对天气干扰下的分季节的航班过站衔接时间优化问题,在对各个航班的潜在延误风险等级评价的基础上,通过历史数据研究天气因素导致的航班延误概率分布,求得各航班波及延误的期望,以优化前后总的波及延误之差最大化为目标函数,分别建立分季节优化松约束模型和紧约束模型,对航班衔接过站时间进行优化.最后以国内某航空公司的航班数据为算例,进行验证并比较.研究结果表明,分季节的松约束模型和紧约束模型均比原计划减少了波及延误的时间,且松约束模型的优化效果更明显.