Validation of performance of real-time kinematic PPP. A possible tool for deformation monitoring

Structural failures (bridge or building collapses) and geohazards (landslides, ground subsidence or earthquakes) are worldwide problems that often lead to significant economic and loss of life. Monitoring the deformation of both natural phenomena and man-made structures is a major key to assessing structural dynamic responses. Actually, this monitoring process is under real-time demand for developing warning and alert systems.One of the most used techniques for real-time deformation monitoring is the Global Navigation Satellite System (GNSS) real-time procedure, where the relative positioning approach, using a well-known reference station, has been applied.This study was conducted to evaluate the actual quality of the real-time kinematic Precise Point Positioning (PPP) GNSS solution for deformation monitoring, where it can be concluded that a promise tool is under development and should be taken into account on actual and near future real-time deformation monitoring studies and applications.     

智能机理与软计算

随着计算机科学技术,特别是人工智能及其它相关学科的发展,关于人脑智能机理的研究引起越来越多的注意。与此同时、出现了关于软计算的研究.旨在研制出高机器智商系统(High Maehine Intelli-gene。Qt,,:sen:、产tom)[,〕。本文将初步探索智能机理与软计算两者间的关系以及把它们结合起来解决问题的可能性和途径。     

Solving the small sample size problem in face recognition using generalized discriminant analysis

The goal of face recognition is to distinguish persons via their facial images. Each person's images form a cluster, and a new image is recognized by assigning it to the correct cluster. Since the images are very high-dimensional, it is necessary to reduce their dimension. Linear discriminant analysis (LDA) has been shown to be effective at dimension reduction while preserving the cluster structure of the data. It is classically defined as an optimization problem involving covariance matrices that represent the scatter within and between clusters. The requirement that one of these matrices be nonsingular restricts its application to datasets in which the dimension of the data does not exceed the sample size. For face recognition, however, the dimension typically exceeds the number of images in the database, resulting in what is referred to as the small sample size problem. Recently, the applicability of LDA has been extended by using the generalized singular value decomposition (GSVD) to circumvent the nonsingularity requirement, thus making LDA directly applicable to face recognition data. Our experiments confirm that LDA/GSVD solves the small sample size problem very effectively as compared with other current methods.     

施肥模型研究综述

对施肥模型和参数研究的历史、现状和趋势进行了综述,并指出今后定量施肥研究的关键问题。     

不锈钢精密薄壁件外表面磁力研磨工艺研究

磁性研磨是一种利用磁场中的磁性磨料,对具有相对运动的工件表面进行光整加工的新技术。选择铝、镍、钴磁粉作为磁性磨料时,对奥氏体不锈钢精密薄壁件外表面具有良好的研磨作用。     

三维地质模型在濮城油田的应用

以濮城油田东区沙二下油藏为研究对象，在储层流动单元细分、微构造、沉积微相、测井曲线二次处理、储层非均质研究、储层动态解释等研究基础上，以数据库为支撑，应用三维可视化技术，建立了研究区油藏三维可视化地质模型。其成果应用于油藏的调整井位设计，并且实现了油藏精细描述—油藏精细数值模拟一体化，效果良好。     

断口分形研究与应用

采用经典的Ｍａｎｄｅｌｂｒｏｔ分形模型、Ｕｎｄｅｒｗｏｏｄ修正分形模型和分维谱模型对三种球墨铸铁断口的分形特性进行了研究，并应用于铸态铁拉伸断口的断 断裂机制分析。     

基于传感器信息的机器人精密装配作业分析

介绍了一个应用力传感器组成的智能机器人精密装配作业的宏／微操作系统，它能够完成一般凸形销孔零件沿任意方向的精密装配作业。