如何在WEB数据库中使用ASP技术

系统地介绍了ASP技术,并对ASP以及与其相关的其他技术如CGI、ISAPI也相应地作了介绍。目的是让读者此有基本了解,用实例说明了ASP技术在登陆WEB数据库系统中实现。     

An Introduction to Using XML for the Management of Laboratory Data

Extensible Markup Language (XML) and the XML Path Language (XPath) are introduced with software examples demonstrating how one can use them to write laboratory data management programs. Topics explored include XML document creation, manipulation, and searching. Programming examples make use of the Microsoft® XML Parser library and the Visual Basic programming language. The problem of managing microplate screening data is used as an illustration. Source code for all examples can be downloaded from http://www.labprogrammer.net.     

Connectivity Infrastructure and Components for POCT Environments - Overall Infrastructure

Connectivity infrastructure, hardware and software components for point-of-care testing (POCT) environments at medium-to-large sized hospitals with expected number of POCT instruments in the order of hundreds or thousands are described. The instruments include both network-ready and non-network-ready devices. The latter are connected to the network by means of a hardware-based Instrument Network Adapter. Instrument messages are converted to standardized form and, depending on message content, are routed and delivered to appropriate destinations by a software-based Message Routing System consisting of a Message Router and a Delivery Agent. Target information systems consist of departmental and central information systems.     

Classification of above burden profile using SOM and k-means

Abstract

Blast furnace operators mostly depend on the measurements taken from the inputs and outputs in the control of the process to interpret the information available for vertical and radial distribution of variables, such as, heat load on the boundary and the distribution of the gas across the section of the furnace. Gas distribution inside the furnace is largely dependent on the distribution of the burden inside the furnace and its estimation is a challenge to the blast furnace operators. However, the measurement from the above burden probes gives some insight to the radial gas distribution in the shaft. Design of methods for automatic classification of above burden probe (ABP) profile is thus warranted. The self-organising map (SOM) is an excellent tool in the exploratory phase of data mining. It projects input space on prototypes of a low dimensional regular grid that can be effectively utilised to visualise and explore properties of the data. When the number of SOM units is large, to facilitate quantitative analysis of the map and the data, similar units need to be grouped, i.e. clustered. In the present investigation, a model for classification, visualisation and interpretation of ABP profiles has been developed by two stage procedure, i.e. SOM followed by k-means clustering. This classifier has the potential to be a useful tool for operator guidance in daily practice.     

Graphite Pore Structure Evaluation by Serial Section Kinematography

The method and techniques employed in the investigation of the pore structure of graphites by serial sectioning combined with kinemicrography are discussed. Some of the simpler problems associated with the working of graphite somples to a good finish and yet with reasonable speed are also reviewed.     

Optimum model for predicting temperature settings on hot dip galvanising line

Abstract

Controlling the annealing cycle in a hot dip galvanising line (HDGL) is vital if each coil treated is to be properly galvanised and the steel is to have the right properties. Current HDGL furnace control models usually take into account the dimensions of the coil to be dipped and, in some cases, the type of steel. This paper presents a new model for monitoring furnace temperature settings, which considers not just the coil dimensions but also the chemical composition of the steel. This enables the model to be adjusted more suitably to each type of steel to be dipped, so that the HDGL annealing cycle is optimised and rendered more efficient in dealing with new products. The ultimate aim is to find a model that is equally efficient for new types of steel coil that have not been processed before and whose dimensions and chemical compositions are different from coils processed previously. To find the best model, this paper compares various new and classical algorithms for developing a precise and efficient prediction model capable of determining the three temperature settings for heating on an HDGL located in Avilés (Spain) on the basis of the physical and chemical characteristics of the coils to be processed and the preset process conditions.     

On the Influence of Polyvinylpyrrolidone (PVP) during the Synthesis of Ultrafine Emulsions

The influence of PVP as well as the influence of the excess of silver ions, and the quantity of silver iodide in the crystal phase, on the physical ripening of Lipmann’s emulsions are investigated. It is established that PYP favours the formation of ultrafine emulsions. Its inhibitory influence on physical ripening makes it possible to regulate and equalize the activity of the gelatins, used in the synthesis of Lipmann’s emulsions.

Emulsions with a resolving power of 3200 1/mm satisfactory sensitivity and edge sharpness are synthesized.     

20—THE ASSESSMENT OF SMALL-SAMPLE IRREGULARITY TRACES

Eight methods of determining the coefficient of variation of yarns or slivers when only a limited amount of material is available are discussed. The basic method involves direct measurement and calculation, and each of the other methods is compared with this one, which tends to be somewhat lengthy, for a range of man-made-fibre yams spun on the cotton system. A method based on the use of the cumulative-frequency distribution is shown to be quite the most accurate of the seven methods investigated and has the merit that it can be performed comparatively rapidly.     

Estimating uncertainty in maximum pit depth from limited observational data

Abstract

The expected maximum depth of corrosion pits in structural steel exposed to marine environments is important for estimating the reliability of engineered systems such as pipelines, tanks, ships and other containment structures. The conventional approach is to use observed data to determine the best fit extreme value (EV) distribution and then to estimate its parameters. In turn these may be used to estimate the maximum pit depth for other situations. However, in many cases there is insufficient data for this classical approach. Progress can be made by invoking a Bayesian statistics approach when a prior EV distribution can be invoked based on previous experience with similar data. The procedure is described herein for estimating the coefficients of variation for the maximum depth of pits on steel surfaces exposed to immersion, tidal, coastal atmospheric and marine inland atmospheric exposure conditions. For these situations previous experience for longer-term exposures has shown that Frechet is the most appropriate prior distribution.     

PDM中产品结构管理的研究与系统设计

阐述了产品结构管理(PCM)在PDM系统中的重要性,并针对产品结构的多视图管理提出了一个管理模型,而且根据产品的设计过程分析了产品结构树的生成过程,总结出了产品结构的管理模型.有助于产品结构管理模型的研究和软件的开发.