基于加权Voronoi图的林木竞争指数

以福寿山林场25年生的杉木生态公益林为研究对象,通过分析林木竞争指数与胸径生长因子的相关关系,得出二者为负相关,从而确定加权Voronoi图的权重为胸径倒数(W),借助Arcgis软件里的加权Voronoi图工具,通过加权Voronoi图的方法来确定竞争单元,提出基于加权Voronoi图的W_V_Hegyi竞争指数,最后将W_V_Hegyi竞争指数与Hegyi、V_Hegyi竞争指数进行对比分析,结果表明:1) 3种竞争指数与胸径相关性强弱排序为:W_V_HegyiV_HegyiHegyi;2) 3种竞争指数与胸径服从幂函数关系,曲线拟合度排序为:W_V_HegyiV_HegyiHegyi;3) 样地竞争指数平均值排序均为:V_HegyiW_V_HegyiHegyi。通过以上比较分析证明,W_V_Hegyi竞争指数比Hegyi、V_Hegyi竞争指数能更准确地反映林木间的竞争关系。      

宽幅高效离心式双圆盘撒肥机设计与试验

为解决现有水旱田撒肥机械作业效率低、撒肥量调节技术落后、施肥均匀性稳定性差等实际问题,设计了一种同轴驱动的离心式双圆盘撒肥机。介绍了整机结构与工作参数,研究设计了撒肥传动系统、撒肥盘结构、排肥量液压调节装置等,并确定了关键结构和参数,同时进行了试验研究。试验结果显示,推肥板推肥角度-20°~30°可调,撒肥幅宽达到50m,总排肥量稳定性变异系数低于6%,施肥均匀性变异系数低于16%。研究结果表明,撒肥机工作性能稳定、撒肥量可控、抛撒均匀,整机设计满足水旱田宽幅高效撒肥作业要求。     

Analysis and FEM Simulation of the Forming Process of Front Bumper Bracket

The processing characteristics of the front bumper bracket are analyzed,and a reasonable process scheme is worked out.The three-dimensional sheet metal forming analysis software PAM-STAMP are adopted to simulate the bracket's drawing process.Then the surface of die is proved fine through analyzing the FLD diagrams and the forming results.An economical and optimized die structure is decided,and a complete set of dies of the bracket is designed.The spacing block is added in the sizing mold,which control the size precision of end products and assembling columns actively,and finally the certified products.The material utility and the labor productivity are raised,the production cost is saved,and the mold design quality and the efficiency are improved effectively.     

面向MC提升企业柔性的概念模型分析

大规模定制(简称MC)是应对目前市场激烈竞争的一种有效方式,它对企业的柔性能力提出了更高的要求。本文基于资源和能力角度,建立了面向MC提升企业柔性的整体模型,通过分析企业需要向MC转变的程度以及企业已具备的柔性与企业的理想柔性之间的差距,确定企业提升柔性的途径,并利用系统动力学方法给出了相应的因果关系结构图。     

A model of decision-making and information flows for information-intensive agriculture

This paper describes the development of a systems based model to characterise farmers’ decision-making process in information-intensive practices, and its evaluation in the context of Precision Agriculture (PA). A participative methodology was developed in which farm managers decomposed their process of decision-making into brief decision statements along with associated information requirements. The methodology was first developed on a university research farm in Denmark and further revised during testing on a number of research and commercial farms in Indiana, USA. Twenty-one decision-analysis factors were identified to characterise a farm manager’s decision-making process. Then, a general data flow diagram (DFD) was constructed that describes the information flows “from data to decision”. Illustrative examples of the model in the form of DFDs are presented for a strategic, a tactical and an operational decision. The model was validated for a range of decisions related to operations by three university farm managers and by five commercial farmers practicing PA for cereal, corn and soybean production in Denmark and in Indiana, USA.     

基于B/S模式的实验室预约系统UML建模与研究

UML作为一种面向对象的标准建模语言,在信息管理系统的建模领域得到了广泛的应用。概述了UML中多种模型图的使用方法和适用范围,重点分析了UML系统建模的主要过程和特点,并以一个实验预约系统为例详细介绍了系统用例模型、静态模型和动态模型的设计过程。     

液压悬置元件的动特性分析与研究

以某车动力总成液压悬置为研究对象,应用键合图理论的方法建立其动力学分析模型,并运用Matlab/S imu link软件对其动特性进行了仿真计算。仿真结果与台架试验结果基本吻合,验证了该模型的适用性和可信性,为该元件进一步的研究和开发奠定了基础。     

黑龙江省大豆品种数据库建模

从种子推广人员、育种工作者、农户等多种人员需求的角度,对黑龙江省育成大豆品种信息进行了分析,将大豆品种信息归纳为品种来源、产量表现、特征特性、栽培要点、审定情况等内容,按照软件工程学和数据库原理,建立了大豆品种数据库模型,绘制了实体关系图。依据此图可以在Microsoft SQL或其他数据库软件下建立物理的数据库,建立良好的查询,为农业生产等应用提供服务。     

嵌入式通用通信管理装置的设计与研究

设计研究了一种采用嵌入式Linux操作系统和PC/104嵌入式控制PC构建的通信管理装置.该装置具有8个独立的标准串行接口,1个CAN现场总线接口和1个以太网接口,可以灵活应用于计算机监控系统中的各个通信环节,实现异种网络间的通信协议转换和数据管理功能.针对不同子设备的通信规约需要进行二次开发的不足,该装置采用符合国际标准的梯形图作为开发语言,采用编译及解释执行的手段,最终实现为真正意义上的面向用户的通信管理装置.     

Precipitation forecasting by large-scale climate indices and machine learning techniques

Global warming is one of the most complicated challenges of our time causing considerable tension on our societies and on the environment. The impacts of global warming are felt unprecedentedly in a wide variety of ways from shifting weather patterns that threatens food production, to rising sea levels that deteriorates the risk of catastrophic flooding. Among all aspects related to global warming, there is a growing concern on water resource management. This field is targeted at preventing future water crisis threatening human beings. The very first stage in such management is to recognize the prospective climate parameters influencing the future water resource conditions. Numerous prediction models, methods and tools, in this case, have been developed and applied so far. In line with trend, the current study intends to compare three optimization algorithms on the platform of a multilayer perceptron (MLP) network to explore any meaningful connection between large-scale climate indices (LSCIs) and precipitation in the capital of Iran, a country which is located in an arid and semi-arid region and suffers from severe water scarcity caused by mismanagement over years and intensified by global warming. This situation has propelled a great deal of population to immigrate towards more developed cities within the country especially towards Tehran. Therefore, the current and future environmental conditions of this city especially its water supply conditions are of great importance. To tackle this complication an outlook for the future precipitation should be provided and appropriate forecasting trajectories compatible with this region's characteristics should be developed. To this end, the present study investigates three training methods namely backpropagation (BP), genetic algorithms (GAs), and particle swarm optimization (PSO) algorithms on a MLP platform. Two frameworks distinguished by their input compositions are denoted in this study: Concurrent Model Framework (CMF) and Integrated Model Framework (IMF). Through these two frameworks, 13 cases are generated: 12 cases within CMF, each of which contains all selected LSCIs in the same lead-times, and one case within IMF that is constituted from the combination of the most correlated LSCIs with Tehran precipitation in each lead-time. Following the evaluation of all model performances through related statistical tests, Taylor diagram is implemented to make comparison among the final selected models in all three optimization algorithms, the best of which is found to be MLP-PSO in IMF.