数据仓库与联机分析在印刷企业信息管理中的应用模型分析

计算机网络与数据库技术的迅速发展和广泛应用,使得企业管理进入一个新的时代,管理人员摆脱了制表和数据处理工作,管理工作进一步规范化,许多业务得到了联机事物处理(OLTP)信息系统的支持。然而,各级管理人员迫切需要面对不同层次的大量信息,迅速作出抉择,这要求各级管理人员能从复杂的业务数据中获取各自权限内的决策信息,作出正确有效的判断和抉择。从各级管理人员。

GIS环境下铁路选线设计应用分析模型研究

在分析传统铁路选线设计方法的基础上,对基于GIS的铁路选线设计应用分析模型及其意义进行探讨;提出了铁路选线设计影响因素信息分析提取模型及定线方案综合分析评价模型,介绍了两种模型的建立方法和步骤,并将其应用于基于GIS的铁路选线设计系统。

智能化空间决策支持模型库及其支持下GIS与应用分析模型的集成

通过对模型库及模型库支持下 GIS与应用分析模型集成方式的探讨 ,以及其它 GIS与应用分析模型集成方式的对比 ,作者指出模型库方式将是 GIS与应用分析模型集成的主流方向 ,提出了一种新的 GIS与应用分析模型集成的框架 :知识驱动的空间决策支持模型库体系 ,它将数据库、模型库和知识库技术三库合一融入到 GIS中 ,实现 GIS与应用分析模型的无缝集成 ,以进一步提高 GIS对复杂空间决策问题的决策能力。从服务于模型库的知识库建设、智能化模型库支持下的决策流程等方面进行剖析 ,展现了知识驱动的空间决策支持模型库支持下 ,GIS与应用分析模型集成的优越性、先进性。通过应用实例验证了知识驱动的空间决策支持模型库体系支持下 。

浅析地理信息系统中应用分析模型的作用

简要论述了地理信息系统中应用分析模型所具有的地位和作用，并对黄淮海平原历史旱涝灾害的时间序列分析模型进行了分析，说明在地理信息系统中发展应用分析模型的重要性．

GIS与应用分析模型的集成方法探讨

综述当前GIS与各类应用分析模型集成的发展现状及特点，对具体的集成方法进行了简单地分析，并结合实例说明（智能）模型库支持下的GIS与应用分析模型的集成方式的优势，指出模型库集成方式将是GIS与应用分析模型集成发展的主流方向。

GIS开发中的应用模型重用方法探讨

应用分析模型重用对于增强 Ｇ Ｉ Ｓ应用分析能力具有很大的现实意义。现有应用模型的主要存在形式有四种：源代码、函数库、可执行程序与模型库。本文分别就这些形式的模型与 Ｇ Ｉ Ｓ应用系统中重用的几种可能的方式：源代码方式、函数库方式、独立可执行程序方式、内嵌可执行程序方式、 Ｄ Ｄ Ｅ或 Ｏ Ｌ Ｅ方式与模型库方式进行了分析。为了顺应地理信息系统组件化、网络化的发展要求，本文提出了组件模型这种新的应用模型形式。模型的组件化将有利于提高模型的重用率，从而提高 Ｇ Ｉ Ｓ开发效率，并最终成为模型开发的主流方式。

也谈模型方法教学

模型方法是现代科学方法的核心内容之一。模型的种类很多，一般所说的模型主要有物理模型、数学模型、概念模型等。在教学活动中使学生掌握模型方法实质包括两个方面：灵活构建各种模型和模型的应用。模型的构建关键是对生命系统核心概念的理解，概念理解到位相当于产品的各大部件已经完成，接下来就是根据核心概念之间的联系把它们连接起来构成模型就行了，连接的情境不同，模型也就不同。掌握模型方法的另一方面就是模型的应用，利用模型来分析和解决问题，包括模型转换、模型分析和模型应用。

基于GIS的铁路线路设计系统研究与开发

将地理信息系统技术应用于铁路线路设计,开发基于GIS技术的铁路线路设计系统。介绍系统设计的总体思路,对铁路线路设计GIS的建立、基于GIS的铁路选线交互设计方法以及铁路选线设计应用分析模型等关键技术进行详细研究。

重庆市自然灾害管理综合信息系统研究

从重庆市自然灾害情况及其信息管理现状分析入手,构建了重庆市自然灾害管理信息系统目标、整体设计和界面开发。重庆市自然灾害管理信息系统主要由4个模块组成:自然灾害数据库模块、远程通信管理模块、应用分析模型库模块及决策支持模块,它们通过一定的数据接口连结,在GIS平台上成为一体化系统,对重庆市自然灾害进行有效地管理和监测,从而减少自然灾害带来的经济损失。

Analytical solution to rock pressure acting on three shallow tunnels subjected to unsymmetrical loads

According to the interaction of three shallow tunnels with large section, the analytical solution to rock pressure has been derived and discussed. The load model is given when the bilateral tunnels are excavated. According to the model, the stresses of three tunnels and single tunnel are calculated and compared to analyze the distribution characteristics, where the stresses are influenced by controlling factors of clear distance, covering depth and inclination angle of ground surface. The results show that, in general, the bias distribution is more serious. Therefore, it is significant to settle down the load model of three shallow tunnels so as to determine the measure of reinforcement and design the structure of support. The model and results can be used as a theoretical basis in designation and further research of the three shallow tunnels.

基于GIS的城轨交通选线系统研究

将地理信息系统技术应用于城市轨道交通选线设计,基于GIS平台GeomediaPro 6.0开发了基于GIS的城市轨道交通选线系统。介绍了系统设计的思路,对城市轨道交通选线设计GIS建立、城轨交通选线动态交互设计以及选线设计应用分析模型等关键技术进行了详细的研究。

Hierarchical Semantic-Category-Tree Model for Chinese-English Machine Translation

We introduce a novel Sermntic-Category- Tree （SCT） model to present the sen-antic structure of a sentence for Chinese-English Machine Translation （MT）. We use the SCT model to handle the reordering in a hierarchical structure in which one reordering is dependent on the others. Different from other reordering approaches, we handle the reordering at three levels： sentence level, chunk level, and word level. The chunk-level reordering is dependent on the sentence-level reordering, and the word-level reordering is dependent on the chunk-level reordering. In this paper, we formally describe the SCT model and discuss the translation strategy based on the SCT model. Further, we present an algorithm for analyzing the source language in SCT and transforming the source SCT into the target SCT. We apply the SCT model to a role-based patent text MT to evaluate the ability of the SCT model. The experimental results show that SCT is efficient in handling the hierarehical reordering operation in MT.

Application of reliability-centered maintenance for productivity improvement of open pit mining equipment:Case study of Sungun Copper Mine

Equipment plays an important role in open pit mining industry and its cost competence at efficient operation and maintenance techniques centered on reliability can lead to significant cost reduction.The application of optimal maintenance process was investigated for minimizing the equipment breakdowns and downtimes in Sungun Copper Mine.It results in the improved efficiency and productivity of the equipment and lowered expenses as well as the increased profit margin.The field operating data of 10 trucks are used to estimate the failure and maintenance profile for each component,and modeling and simulation are accomplished by using reliability block diagram method.Trend analysis was then conducted to select proper probabilistic model for maintenance profile.Then reliability of the system was evaluated and importance of each component was computed by weighted importance measure method.This analysis led to identify the items with critical impact on availability of overall equipment in order to prioritize improvement decisions.Later,the availability of trucks was evaluated using Monte Carlo simulation and it is revealed that the uptime of the trucks is around 11000 h at 12000 operation hours.Finally,uncertainty analysis was performed to account for the uncertainty sources in data and models.

基于ArcIMS的有害生物灾害评估系统研究与实现

网络地理信息系统(WebGIS)是当前GIS技术热点,是Web技术和GIS技术相结合的产物。应用ArcIMS地理信息系统和数据库管理技术,构建了有害生物灾害评估系统平台,并运用Java和XML技术,实现了将有害生物适生指标进行可视化表达和灾害风险评估分析,并阐述了生物相似距模型与网络地理信息系统的集成及适生指标的提取过程。

Matter-elements model and application for prediction of ccoal and gas outburst

The theory and method of extenics were applied to establish classical field matterelements and segment field matter elements for coal and gas outburst.A matter-element model for prediction was established based on five matter-elements,which includedgas pressure,types of coal damage,coal rigidity,initial speed of methane diffusionand in-situ stress.Each index weight was given fairly and quickly through the improvedanalytic hierarchy process,which need not carry on consistency checks,so accuracy ofassessment can be improved.

A Double Shot Noise Process and Its Application in Insurance

The authors consider a compound Cox model of insurance risk with the additional economic assumption of a positive interest rate. As the authors note a duality result relating a compound Cox model of insurance risk with a positive interest rate and a double shot noise process, the authors analyze a double shot noise process systematically for its theoretical distributional properties, based on the piecewise deterministic Markov process theory, and the martingale methodology. The authors also obtain the moments of aggregate accumulated/discounted claims where the claim arrival process follows a Cox process with shot noise intensity. Removing the parameters in a double shot noise process gradually, the authors show that it becomes a compound Cox process with shot noise intensity, a single shot noise process and a compound Poisson process. Numerical comparisons are shown between the moments （i.e. means and variances） of a compound Poisson model and their counterparts of a compound Cox model with/without considering a positive interest rate. For that purpose, the authors assume that claim sizes and primary event sizes follow an exponential distribution, respectively.

Application of the Moving Averaging Technique in Surplus Production Models

Surplus production models are the simplest analytical methods effective for fish stock assessment and fisheries management. In this paper, eight surplus production estimators(three estimation procedures) were tested on Schaefer and Fox type simulated data in three simulated fisheries(declining, well-managed, and restoring fisheries) at two white noise levels. Monte Carlo simulation was conducted to verify the utility of moving averaging(MA), which was an important technique for reducing the effect of noise in data in these models. The relative estimation error(REE) of maximum sustainable yield(MSY) was used as an indicator for the analysis, and one-way ANOVA was applied to test the significance of the REE calculated at four levels of MA. Simulation results suggested that increasing the value of MA could significantly improve the performance of the surplus production model(low REE) in all cases when the white noise level was low(coefficient of variation(CV) = 0.02). However, when the white noise level increased(CV= 0.25), adding the value of MA could still significantly enhance the performance of most models. Our results indicated that the best model performance occurred frequently when MA was equal to 3; however, some exceptions were observed when MA was higher.

In-place structural strength and fatigue analysis for floating platform topsides

This paper presents some insights on the state-of-the-art practice that has been utilized recently in the inplace structural strength and fatigue analysis for topsides on deepwater floating platforms such as tension leg plat-form (TLP) and semi-submersibles. Emphases are put on analysis software,geometric and mass modeling,hydro-dynamic loading and its mapping,and analysis procedures. In addition,for the in-place analysis using structure analysis computer system (SACS),the procedure of Visual Basic for Application (VBA) is developed to map AQWA-LINE hydrodynamic loading to the SACS integrated hull/topsides model;for the in-place analysis using structure engineering system analysis model (SESAM),many computer aided applications are made to aid the post-processing. These applications have been used in structural analyses for a few TLP and semi-submersible plat-form topsides,and are briefly introduced in this paper.

The application of the BP neural network in the housing demand model

Real estate is the ＂barometer＂ of the national economy, this paper studies the formation of the current domestic real estate prices and the inner mechanism of the influence factors, using the principal component analysis to determine the composition of the real estate market development index model, and the BP neural network model is established, with specific data analysis which verifies the correctness and practicability of the model.