基于最小势能原理的延绳钓渔具作业状态数值模拟

基于有限元理论及最小势能原理,以2008年9月到2009年1月海上实测的188枚钓钩的深度、24个站点不同深度的三维海流数据、渔具参数和作业参数为基础,建立并验证了延绳钓三维最小势能模型。结果表明:(1)建立的延绳钓最小势能模型可以计算得出任何三维分层海流作用下延绳钓的三维形状和钓钩的深度,大部分钓钩的实测深度与数学模型数值深度之间的差别不大,其平均差值为12.03 m,差值范围为0.02～40.36 m(方差S2=100.30,标准差S=10.01,n=188),通过成对双样本均值分析,实测深度与数值深度无显著性差异(P>0.05);(2)延绳钓渔具的干线在海水中稳定后并不是呈平滑的悬链线,而是波浪形的曲线;(3)圆柱体轴线与流向垂直时的阻力系数(CN90)取值对于数值模拟的结果有一定的影响,CN90值的选取与研究对象的雷诺数有关。延绳钓最小势能数值模型能够有效模拟并预测延绳钓在不同深度的三维海流作用下的形状、钓钩深度并达到可视化。     

OpenGL在粮仓温度场可视化中的应用

根据粮仓温度监测系统采集到的温度数据，首次在VC 6．0MFC平台上，运用3DSMAX，OpenGL图形工具包，实现了整个粮库外景三维建模以及粮仓温度场的动态三维重现。从而可直观地了解粮仓内部的温度情况。     

Modeling of UML in University Student Individual Credit Evaluation MIS

Unified modeling language(UML) is an object-oriented(OO) modeling notation standard,which could be used in various developing environment and software life cycle.The authors discuss how to the use the UML to complete the use-case modeling,static modeling and dynamic modeling of the university student individual credit evaluation management information system.They believe that the UML can improve the documentation,visualization and standardization of the system and ensure a better reliability and reusability.     

日光温室蔬菜智能化管理系统建模

随着精准农业的发展,智能化管理将在现代农业中广泛应用。针对智能化管理在日光温室蔬菜生产中尚鲜见报道的情况,该研究以日光温室蔬菜为研究对象,通过对日光温室环境特征的分析,设计一种基于无线传感器网络技术的低成本温室监测系统,用于监测温度、湿度、二氧化碳浓度等关键环境参数,并建立日光温室蔬菜系统,通过建模,建立不同子模块,实现蔬菜生产的智能化管理。     

网络驱动的协同设计三维几何模型共享技术

为解决网络驱动的协同设计三维几何模型共享技术的实现问题,提出一种基于特征流的混合式3D几何模型共享机制,提出了基于多粒度的产品几何模型数据结构描述方法和面向模型局部操作的"游历-查询"特征的历史记录来重构模型的特征建模方法。建立了网络驱动的、基于CORBA/JAVA中间插件的3D几何模型特征信息同步传输和共享平台,CORBA/JAVA平台支持多用户、分布数据管理、消息传输、网络通讯以及可扩展性,通过该平台实现了三维模型的实时传输和共享。     

梳脱式联合收割机脱粒与输送装置模糊控制系统

建立了梳脱式联合收割机脱粒与输送装置的动力学模型，应用Fuzzytoo1box设计了模糊控制器。当作物属性变化等因素而引起该装置的工作负荷发生较大变化时，模糊控制器能够对机组前进速度傲出相应的调整，使被控量迅速恢复到设定值附近，且能保持稳定，有利于发挥机器的最大的工作潜能，提高机器的可靠性，降低机器故障率。     

A variance-covariance structure to take into account repeated measurements and heteroscedasticity in growth modeling

This study proposes a within-subject variance-covariance (VC) structure to take into account repeated measurements and heteroscedasticity in a context of growth modeling. The VC structure integrates a variance function and a continuous autoregressive covariance structure. It was tested on a nonlinear growth model parameterized with data from permanent sample plots. Using a stand-level approach, basal area growth was independently modeled for red spruce (Picea rubens Sarg.) and balsam fir [Abies balsamea (L.) Mill.] in mixed stands. For both species, the implementation of the VC structure significantly improved the maximum likelihood of the model. In both cases, it efficiently accounted for heteroscedasticity and autocorrelation, since the normalized residuals no longer exhibited departures from the assumptions of independent error terms with homogeneous variances. Moreover, compared with traditional nonlinear least squares (NLS) models, models parameterized with this VC structure may generate more accurate predictions when prior information is available. This case study demonstrates that the implementation of a VC structure may provide parameter estimates that are consistent with asymptotically unbiased variances in a context of nonlinear growth modeling using a stand-level approach. Since the variances are no longer biased, the hypothesis tests performed on the estimates are valid when the number of observations is large.     

论一元立木材积模型的研建方法

对建立一元立木材积模型的两种常规方法进行了深入分析,提出了以树高—胸径模型为基础的二阶回归估计方法。利用该方法既可以提高模型切合性能,又能有效控制模型的拟合误差,并以西藏自治区的四旁树一元立木材积模型为例进行了说明。     

A mathematical model for generating land-use allocation alternatives for agroforestry systems

Agroforestry has been considered a viable land-use system particularly in the tropical regions. In developing or designing agroforestry systems, various concerns have to be addressed namely: (1) economic; (2) biological and physical; and (3) silvicultural and ecological considerations. This paper addresses these concerns from an interdisciplinary perspective. A land-use allocation model which ensures the simultaneous consideration of these concerns is proposed.