中国对外承包工程企业市场开发系数的设定

本文用近年来中国对外工程承包的工程完成额和新签合同额的数据分析,从一个角度探讨中国对外承包工程市场发展的客观规律,提出对外承包工程企业市场开发系数的概念和设定方法,探讨对外承包工程企业市场开发目标设定的思路,作为中国对外工程承包企业战略规划和经营指标设定工作的一个方法参考.

基于改进的层次分析法的页岩气开发选区评价方法

选区评价研究是页岩气开发过程中的重要环节,评价方法的有效性有助于页岩气的高效开发。以涪陵页岩气田勘探开发成熟区块、未成熟区块2种类型共9个候选区块为研究对象,系统分析了不同地质与工程参数对选区评价的影响,并优选了区块的评价指标。其中,含气性、可压性和经济性是页岩气开发选区评价的3个重要方面。然后,利用层次分析法和均方差法确定指标的组合权重,提高了权重系数的精确度,建立了页岩气开发选区评价方法。研究表明在页岩气开发选区过程中,主要的评价指标为气测全烃值、断裂发育程度、地层压力系数、地形特征、目的层裂缝发育程度和孔隙度。根据在涪陵页岩气田的开发实践,评价与实际吻合度较高,表明基于改进的层次分析法的页岩气开发选区评价方法是可行的。

折现现金流量风险系数调整法分析及优化

折现现金流量风险系数调整法适用于低勘查风险、勘查程度为预查和普查的沉积型矿产矿床的探矿权评估,本文指出该方法在探矿权评估实践中在适用范围、资源储量利用方式和矿产开发地质风险系数的适用性、取值范围、权重比例等方面存在的问题,分析了矿床找矿主要风险因素,对评估原理及适用范围、储量利用和矿产开发地质风险系数权重进行优化,给出相对客观准确的矿产开发地质风险系数。

关于广播电视广告经营的效益指标体系研究

关于广播电视广告经营的效益指标体系研究泰州市广播电视局汤卫国，成寿松，陈开泰广告收人是广播电视收入的主体，也是广播电视开拓发展的主要渠道。制约广播电视广告收入水平的因素主要有：该地区的经济发展水平的开放程度，电台电视台所在城市位置和经济地位．广播电视...

基于WEI+的流域水资源短缺分析

为了分析我国各流域的水资源短缺现状,引入欧盟开发改进的水资源开发利用系数(Water Exploitation Index Plus,简称WEI+),以全国10个水资源一级区作为研究对象,计算2003—2012年各水资源一级区的水资源短缺情况。结果表明:(1)WEI+指数最小的是西南诸河区,其均值为1.9%;WEI+指数最大的是海河区,其均值为130%;且南方4区的WEI+指数均小于北方6区,说明我国北方比南方面临更为严重的水资源短缺问题。(2)南方4区的WEI+指数在2003—2012年间波动不大,而北方6区的WEI+指数波动剧烈;大部分地区的WEI+指数均呈现出下降趋势,这说明区域的水资源短缺情况有所缓解。(3)WEI+指数与流域水利水电开发利用程度在空间上的分布规律基本类似,这说明WEI+指数能够有效反映区域的水资源短缺情况。

Developing a Computer Program for Detailed Study of Planing Hull＇s Spray Based on Morabito＇s Approach

Recently, Morabito(2010) has studied the water spray phenomena in planing hulls and presented new analytical equations. However, these equations have not been used for detailed parametric studies of water spray around planing hulls. In this paper, a straight forward analysis is conducted to apply these analytical equations for finding the spray geometry profile by developing a computer program based on presented computational process. The obtained results of the developed computer program are compared against existing data in the literature and favorable accuracy is achieved. Parametric studies have been conducted for different physical parameters. Positions of spray apex are computed and three dimensional profiles of spray are examined. It is concluded that spray height increases by an increase in the speed coefficient or the deadrise angle. Ultimately, a computational process is added to Savitsky's method and variations of spray apex are computed for different velocities. It is shown that vertical, lateral, and longitudinal positions of spray increase as the craft speed increases. On the other hand, two new angles are defined in top view and it is concluded that they have direct relation with the trim angle. However, they show inverse relation with the deadrise angle.

New risk assessment methodology for coal mine excavated slopes

This paper presents a new risk assessment methodology for coal mine excavated slopes. This new empirical-statistical slope.stability assessment m. ethodology （SSAM! is intended for use by geotechnical engineers at both the design review and operational stages of a mine＇s life to categonse the risk of an excavated coal mine slope. A likelihood of failure is determined using a new slope stability classification system for excavated coal mine slopes developed using a database of 119 intact and failed case studies sourced from open cut coal mines in Australia. Consequence of failure is based on slope height and stand-off distance at the toe of the excavated slope. Results are presented in a new risk matrix, with slope risk being divided into low, medium and high categories. The SSAM is put forward as a new risk assess- ment methodology to assess the potential for, and consequence of, excavated coal mine slope failure. Unlike existing classification systems, assumptions about the likely failure mode or mechanism are not required. Instead, the SSAM applies an approach which compares the conditions present within the exca- vated slope face, with the known past performance of slopes with similar geotechnical and geometrical conditions, to estimate the slope＇s propensity for failure. The SSAM is novel in that it considers the depo- sitional history of strata in an excavated slope and how this sequence affects slope stability. It is further novel in that it does not require explicit measurements of intact rock, rock mass and/or defect strength to rapidly calculate a slope＇s likelihood of failure and overall risk. Ratings can be determined entirely from visual observations of the excavated slope face. The new SSAM is designed to be used in conjunction with existing slope stability assessment tools.

Splicing System Based Genetic Algorithms for Developing RBF Net-works Models

A splicing system based genetic algorithm is proposed to optimize dynamical radial basis function(RBF)neural network,which is used to extract valuable process information from input output data.The novel RBF net-work training technique includes the network structure into the set of function centers by compromising between the conflicting requirements of reducing prediction error and simultaneously decreasing model complexity.The ef-fectiveness of the proposed method is illustrated through the development of dynamic models as a benchmark discrete example and a continuous stirred tank reactor by comparing with several different RBF network training methods.

Neural Network Applications in Petroleum Exploration Based on Statistical Space Mapping

In this paper, we propose the statistical space mapping thought and classify the seismic body space throughlithology space clustering combining to the actual application background of petroleum exploration. A new method ofstratum petroleum recognition based on neural network was set up through the foundation of the data mapping relationbetween log and seismic body. It can break a new path for recognition petroleum using both log and seismic data. Andthis method has been validated in the practical data analysis in Liaohe oil field.

Prototype CNC Machine Design

The CNC （computer numerical control） is a technology which aims to generate, parse and execute sequential actions that describe the behavior of the end effector. This article reports the development of small sized, low cost, prototype CNC system, based on a modular system with the capability of communication through USB. The report includes the basics of the electronic devices developed to run a CNC machine and proposes, as well, software developed in LabVIEW to control and establish the communication between the machine and the computer. The main objective of this work is the development of a machine which allows future researches on the process performance, on educational purposes, the demonstration of the parts involved on the CNC machine.

Implementation of Cooling Systems to Enhance Dairy Cows＇ Microenvironment

A tool was developed to assist the cooling systems designer in designing and installing the microsprinklers and fan cooling system. The tool was developed by integrating a mathematical model into an electronic spark map in order to use the mathematical model practically. The mathematical model was developed using the designs, parameters, variables, and constant values of the microsprinklers and fans cooling system. Subsequently, an electronic spark map （decision tree） was developed, and then the mathematical model was integrated into the electronic spark map. Afterwards, C# （C Sharp） programming language was used to develop a computer system via the electronic spark map, and to make the user interface. The developed computer system assists the designer in making decisions to specify and to calculate the required discharge of cooling system pump, length and diameter of cooling system pipelines, number of cooling fans, and number of microsprinklers. Moreover, this tool calculates the capital investment and the fixed, variable, and total costs of the cooling system. However, the mathematical model of the spark map requires some input data such as： pressure and discharge of microsprinklers, and some other engineering parameters. Data of 4 cooling systems were used to carry out the model validation. The differences between actual and calculated values were determined, and the standard deviations were calculated. The coefficients of variation were between 2.25% and 4.13%.

Research development of digital maintenance and management system for long-span cable-stayed bridges

Digital cable-stayed bridge maintenance and management system （DCBMS） was developed for the need of maintenance and management of long-span cable-stayed bridges. In this paper, the major functions and theoretical application of eight modules were systematically stated with the background of Harbin Songhua River cable-stayed bridge, which include data management module, inspection and measurement module, assessment module, finite dement analysis module, disease diagnosis and prediction module, maintenance module, query module and help module. By analyzing and calculating the data from manual inspection database, basic database and health monitoring subsystem, DCBMS can accomplish the functions like life prediction, disease diagnosis, comprehensive assessment, maintenance and management of bridges. Therefore, the maintenance and management of long-span cable-stayed bridges can be made digital, professional and scientific. By running this system, a real-time and specific technical guidance can be provided for the maintainers and managers of long- span cable-stayed bridges.

Developing a Data Modelling Tool to Visualize the Transformation of an ER Diagram into a Relational Schema

In this paper, the authors present the development of a data modelling tool that visualizes the transformation process of an ＂Entity-Relationship＂ Diagram （ERD） into a relational database schema. The authors＇ focus is the design of a tool for educational purposes and its implementation on e-learning database course. The tool presents two stages of database design. The first stage is to draw ERD graphically and validate it. The drawing is done by a learner. Then at second stage, the system enables automatically transformation of ERD to relational database schema by using common rules. Thus, the learner could understand more easily how to apply the theoretical material. A detailed description of system functionalities and algorithm for the conversion are proposed. Finally, a user interface and usage aspects are exposed.

Research on the Multimedia Data Mining and Classification Algorithm based on the Database Optimization Techniques

In this research article, we analyze the multimedia data mining and classification algorithm based on database optimization techniques. Of high performance application requirements of various kinds are springing up constantly makes parallel computer system structure is valued by more and more common but the corresponding software system development lags far behind the development of the hardware system, it is more obvious in the field of database technology application. Multimedia mining is different from the low level of computer multimedia processing technology and the former focuses on the extracted from huge multimedia collection mode which focused on specific features of understanding or extraction from a single multimedia objects. Our research provides new paradigm for the methodology which will be meaningful and necessary.

Component-based Model Integration Approach for Computer Numerical Control System Development

A component-based model integration framework for computer numerical control system design and development is presented.The model integrates modeling,simulation,verification and implementation in a uniform environment.The computer numerical control(CNC) modeling language with well defined syntax and unambiguous semantics is developed.Using the proposed CNC model integration method,a three axis milling system model is developed in the case study.The approach is an attempt to create an infrastructure to support the CNC system design in an efficient way,while at the same time guarantees the function and performance requirements with advanced capability of the system such as modularity,flexibility,reusability,etc.