基于空间卫星综合应用系统的天气预报业务框架构建

围绕空间卫星综合应用系统，在介绍天气预报业务系统基本框架的基础上，着重分析了天气预报业务化框架、网络的技术特点，以及天气预报业务的一些技术和方法．     

等维灰数递补动态预测在机场客运量预测中的应用

基于灰色系统等维灰数递补动态预测和残差GM（1，1）修正模型，对其应用的可行性进行了有益的探讨，并结合实例，对首都国际机场中短期客运量进行了预测。通过调整原始样本中的变异数据，得到比较理想的预测结果．经检验预测结果是可信的。该研究为机场客运量预测提供了一种方法，可供借鉴。     

基于场面监视数据航空器场面滑行路径确定

确定出每架航空器的位置和滑行路径,可以根据不同跑道使用情况得到航空器热点滑行路径,以及通过结合监视雷达解析出的速度信息,将速度畸态区域作为航空器潜在冲突区域.由于雷达监视数据是每秒更新航空器的位置信息,因此在众多的数据中找到同一架航空器连续的滑行路径是难点所在.利用改进支持向量机理论,通过对场面监视雷达数据进行训练和分类预测,结果证明,结合支持向量机可以准确地确定航空器在机场场面滑行的位置以及滑行路径.     

民用飞机产品分类研究

民用飞机承载的零部件种类繁多、数量庞大,需要对飞机产品进行明确的分类,才能建立高效的飞机产品全生命周期技术管控机制。采用系统工程方法识别飞机产品分类相关利益攸关方,在分析总结关键利益攸关方需求的基础上,提出一种适用于民用飞机领域的基于产品来源的产品分类方案以及用以区分定制件和设备的判定准则,实现对民用飞机产品进行统一、规范及多维度的分类和定义,对某型号飞机产品分类案例进行验证。结果表明：基于产品来源的民用飞机分类方案,便于设计人员在实际工作中快速判定产品类别,保证产品分类的准确性和有效性,为民用飞机产品设计和技术管理提供了基础,较好地满足了民用飞机项目应用需求。     

磨粒特征参数的筛选及权分析

基于概率分布特性及集合论 ,提出区分度概念并建立一种用于对金属磨粒的特征参数进行分析筛选的方法。该方法根据特征参数的数据结构特征 ,筛选出具有较强分类特性的特征参数 ,而将分类特性差的或是派生的特征参数能准确地分离出来。本文同时采用集合域分析方法 ,对特征参数进行了权分析 ,从而大大提高了特征参数的分类特性。文中对金属磨粒分类中常用的几种几何特征参数 (圆度、长 /短轴比、线性度、凹度及综合参数 )进行了计算分析 ,结果显示圆度的区分度最大 ,其他依次为长 /短轴比、综合参数、凹度和线性度。而这一结果与作者根据实际经验来对磨粒进行分类所采用的分类决策的秩序是相一致的 ,从而说明该方法的有效性及实用性     

论虚拟实验在基本操作型实践性教学环节中的优势

介绍实践教学环节和基本操作型实验的特点与要求,讨论虚拟实验特点,并对虚拟实验相对于传统实验在基本操作型实践性教学环节中的优势进行归纳。     

Non-linear methods in remotely sensed multispectral data classification

The aim of this research is to develop an effective approach being able to deal with the stochastic nature of remote sensing data. In order to achieve this objective it is necessary to structure the methodological knowledge in the area of data mining and reveal the most suitable methods for the prediction and decision support based on large amounts of multispectral data. The idea is to establish a framework by decomposing the task into functionality objectives and to allow the end-user to experiment with a set of classification methods and select the best methods for specific applications. As a first step, we compare our results from Bayesian classification based on non-parametric probability density estimates of the data to the results obtained from other classification methods. Tree scenarios are considered, making use of a small benchmark dataset, a larger dataset from Corine land cover project for Bulgaria and analyzing different features and feature selection methods. We show that the theoretically optimal Bayesian classification can also achieve optimal classification in practice and provides a realistic interpretation of the world where land cover classes intergrade gradually.     

基于信息化的融合及其效应分析——从产业和企业视角

基于信息化的背景分析产业融合理论,从产业层面和企业层面分析了产业融合的含义和各自的特点。从产业层面上,产业融合就是高新技术及其产业作用于传统产业,使得两种产业或多种产业融为一体的产业新范式。不同产业的经济活动之间出现了相似性;从企业层面上,产业融合是指某一产业中一个具有较大影响力的企业或者相当数量的企业,出现了内容相同的多元化经营。企业融合深化了企业的竞争与合作关系,并使得企业战略由规模经济转变为范围经济。我国应对产业融合一是非政府创造产业融合的支持环境,二是发展高新技术,三是制定适合产业融合的管制政策。     

On the clustering of foF2 time series corresponding to disturbed ionospheric periods

This paper presents an analysis of a set of time series that represent foF2 disturbances during storm conditions, using clustering tools. The time series under study have been drawn from ionospheric observations obtained from eight European middle latitude ionosondes during a significant number of storm-time intervals and they are divided into eight groups according to the latitude (middle to low and middle to high) and the local time of the observation point at storm onset (afternoon, evening, morning, prenoon). The time series in each group have been analyzed using clustering-based methods. Specifically, each time series has been represented using two different ways of representation: the first is the raw representation while the second is through the parameters of the autoregressive (AR) model that best represents it. For each representation a hierarchy of clusterings is produced via the complete link algorithm. The two produced hierarchies are combined to a single one and the final clustering results are extracted from the produced hierarchy. The obtained results are in close agreement with the theoretical formulations concerning ionospheric storm effects at middle latitudes. In addition, they may be proved useful in the development of more accurate ionospheric forecasting methods.     

Preliminary results of fair-weather atmospheric electric field in the proximity of Main Boundary Thrust,Northern Pakistan

The atmospheric electric Potential Gradient (PG) variation of fair-weather days at Muzaffarabad (MZF, Northern Pakistan) station is presented for the period of January 2015–October 2017. The present investigations focus on the diurnal variation of atmospheric PG on the seasonal and annual time scale. The fair-weather seasonal and annual average PG variation has revealed two peaks, i.e. a primary maximum peak and a secondary maximum peak. The average maximum PG value found is ～410?Vm^?1. The results are then compared with the well-known standard oceanic Carnegie curve. The diurnal curve of PG is found to deviate from the Carnegie curve. The seasonal PG variation at MZF shows lower values during the summer (monsoon) and autumn (post-monsoon) as compared to the winter and spring (pre-monsoon) which could be due to local aerosol concentration. Global comparison of PG (%) values of the annual mean at different longitude, with MZF observatory, shows local morning and evening peaks depicting local sunrise and sunset effects on the PG. The overall outcomes will certainly contribute to further investigate the Global Electric Circuit (GEC).