The Remote Product Check and Acceptance Technology Based on Web

1 Introduction The remote product check and acceptanceis ani mportant part of the e-purchase ,andthelast essential linkto a successfully e-purchase .By tri mming and opti mizing the traditional purchase process and the automation ofrepetitive work,the e-purchase systembased on Internet technology greatly raises the efficiency of bothsides ofthe business ,reduces the cost and the cycle of order form disposal as well as the items on stock of both sideswhich eventuallyleads tothe falling of the p…     

统计工作如何适应铝工业发展的变化

指出了随着企业产品结构的调整，统计工作的不适应性，并提出了相应的解决办法。旨在提高统计人员的素质，从而更好地顺应铝工业的发展趋势。     

Analysis on the Logarithmic Model of Relationships

The logarithmic model is often used to describe the relationships between factors.It often gives good statistical characteristics.Yet,in the process of modeling of soil and water conservation,we find out that this“good”model cannot guarantee good result.In this paper we make an inquiry into the intrinsic reasons.It is shown that the logarithmic model has the property of enlarging or reducing model errors,and the disadvantages of the logarithmic model are analyzed.     

压力容器壳体曲面造型与展开误差分析

采用基于特征的多面体造型方法，解决了压力容器壳体曲面造型的问题，同时，提出了一种筒体展开的算法，并进行了误差分析与修正。     

基于边界表示的曲面实体造型系统的数据结构

实体造型是ＣＡＤ系统的核心模块，而二次曲面在工程中常用来描述轴，孔及圆角等形状特征。讨论了在微机上实现的一个基于边界表示的实体模型的数据结构，并针对二次曲面的特点，实现了对自封闭曲面的无二义性拓扩定义，为顺利进行曲面的拼合运算打下了基础。     

Simulation based on learning methods

The use of simulation technology as a tool for planning and control is of increasing significance in most fields of production. The main part of the expenditure concerning simulation analyses is the modelling of the considered production. Despite the use of modern building-block-oriented modelling technology, this modelling can often not be done by the user, but only by external experts. Against this backdrop, an adaptive simulation system is being developed by the Institute for Industrial Manufacturing and Management (IFF) at the University of Stuttgart. It independently adapts to real production processes, i.e. it learns about the interdependencies of production processes, and, in this way, supports the user in constructing and maintaining the model. In terms of information technology, the research in the field of artificial intelligence, especially in the subdomain of machine learning, is the basis for the realization of such adaptive systems.     

Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level

Wildland fires burn large areas of the earth's land surface annually, causing significant environmental damage and danger to human health. In order to mitigate the effects, and to better manage the incidence of such fires, fire behaviour models are used to predict, among other things, the likelihood of ignition, the rate of spread, and the intensity and duration of burning. A key input parameter to these models is the amount of water in the vegetation, described as the fuel moisture content (FMC). A number of studies have shown that vegetation indices (VI) calculated from red and NIR reflectances may be used to map spatial and temporal variation in FMC in a range of fire-prone environments, with varying degrees of success. Strong empirical relationships may be established between VI and FMC over grasslands, yet over shrublands and forests, the relationships are weaker. If FMC is to be estimated with greater accuracy and consistency than is currently achieved, it is necessary to fully understand the relative contribution that spatial and temporal variation in the various biophysical and geometrical variables make to reflectance variability at the leaf and canopy level.This paper uses a modelling approach to investigate the sensitivity of reflectance data at leaf and canopy level to variation in the biophysical variables that are used to compute FMC. At the leaf level, the results show that the sensitivity of reflectance to variation in leaf water and dry matter content, used to compute FMC, is greatest in the SWIR and NIR, respectively. Variation in FMC has no effect in the visible wavelengths. At the canopy level, the results show that the sensitivity of reflectance to variation in leaf water and dry matter content is heavily dependent upon the type of model used and the range of variation over which the variables are tested. In the longer wavelengths of the SWIR, the competing influence of variable leaf area index, fractional vegetation cover, and solar zenith angle is shown to be greater than that at the shorter wavelengths of the SWIR and NIR. Empirical relationships between the normalised difference water index (NDWI) and FMC are shown to be weaker than that with canopy water content. However, when the range of the variables under study is more limited, useful empirical relationships between FMC and remotely sensed VI may be established.     

Characterization of indoor wireless channel at 5 GHz U-NII bands

The paper reports on the experiments undertaken at the University of Wollongong to characterise fading profiles and delay parameters of an indoor wireless channels at 5 GHz U-NII bands. The measurements were undertaken at different locations around the campus with results recorded for a post-processing to calculate the Rician K-factor, the level crossing rate and the average fade duration as well as mean excess delay, rms delay spread, and the coherence bandwidth of the channel. The presented measurement results can be useful in developing a Markov chain based model of the transport channel for IEEE802.11a or HYPRLAN-2 networks. The results also indicate scenarios where the coherence bandwidth of the channel is smaller than the width of the sub-carrier OFDM channels in either of the mentioned systems.     

Principles and methodology of fuzzy sets

The principles of fuzzy sets and their role in processing uncertain information will be discussed. The question of knowledge representation that is of significant importance in problems of system modelling will be formulated and considered at the level of fuzzy sets. Modelling and simulation realized with the aid of fuzzy sets are studied in a unified methodological framework. First a notion of the cognitive perspective is applied to articulate the problem in terms of specialized linguistic labels. Fuzzy models are constructed to capture logical relationships between the elements (linguistic labels) of the cognitive perspective. Several different classes of the models distinguished with regard to their structural dependencies will be analysed in depth. Finally a linguistic-numerical transformation constituting a type of model-environment interface will be studied.