树型模型中进化设计的一致性维护技术的研究

基于文本操作转换算法已经广泛的应用于协同应用中,但是之前基于文本编辑的协同研究大部分都是基于文本的插入,删除操作,而且研究的对象大多为线性的文档模型,对于新的文档模型和新的操作之前的协同算法已经不适应.本文对基于树型文档模型的遗传操作(包括交叉操作和变异操作)进行了一致性维护研究.对比分析了之前多种协同设计方案的优劣,建立了基于树型文档模型,描述了遗传操作实现的过程,设计和冲突检测和冲突消解算法,提出了一致性维护的流程.最后模拟了协同编辑的场景,并把算法应用于协同编辑,从理论上证明了算法的收敛性和方案的正确性.

制造型企业CRM树型模型的建立

根据两种不同类型的制造型企业和不同企业采用的四种营销模式,将制造型企业分成八类,基于不同企业的情况,建立了有效地实施八种不同类型企业CRM的树型模型,并介绍了CRM中的各大功能模块以及选择相应的CRM应用系统设计平台的方法。

基于互邻信息的树型近邻分类方法

为了提升分布不均匀样本的分类性能,该文提出了一种基于互邻信息的树型近邻(Tree-based k近邻,k Tree)分类方法,以此提高k近邻分类的准确率。首先,采用回归模型刻画样本之间的紧密程度,获取每个样本的最优k值,从而获得最优邻居,并采用k Tree提升搜索效率。其次,对于每一个测试样本,基于互邻信息准则,确定其邻域空间,完成k近邻分类。最后,数据集的试验结果表明,该文提出的基于互邻信息的k Tree分类准确率高于传统k近邻分类等其他分类算法。该文提出的方法也为k近邻分类的改进提供了新的方向。

利用交互证实辅助树型回归模型剪枝

目的 探讨树型回归模型更为准确的剪枝技术。方法 将交互证实应用于树型回归模型的剪枝中 ,以期得到最佳的树型回归模型。结果 实例分析表明与常规的剪枝曲线相比 ,交互证实的剪枝曲线不再单调下降 ,而是存在一个最低点 ,可以此作为树型回归模型的剪枝点。结论 交互证实在复杂的模型选择中有较为广阔的应用前景。

基于环-树型拓扑的无线传感网密钥管理方案

设计了一种基于无线传感网的拓扑模型——环-树型网络拓扑模型。基于该模型,结合节点命名机制,提出了一种新的密钥管理方案。该方案在拓扑结构上改变传统的三层分簇拓扑为四层分簇拓扑,在路由安全问题上采用二次核实机制。经仿真工具OMNET++实验,较传统的三层分簇拓扑模型,该方案的网络拓扑模型延长了第一个节点的死亡时间,且整个网络具有更长的生命周期和更好的安全保证。

基于接口参数的列控中心测试用例生成算法

在接口参数两两组合全面覆盖理论的基础上,提出一种基于树型结构的改进测试用例生成算法。该算法综合考虑外部接口参数和取值组合所产生的系统影响,具有一定的通用性及稳定性,并且在时间复杂度及空间复杂度上较以往的算法都有所改进。算法在CTCS2级列控中心的接口测试中取得了很好的效果,测试质量和测试效率均得到提高。

基于IEC 61850的广域继电保护通信建模

目前IEC 61850标准未对广域继电保护通信模型进行描述,为此以区域主站集中式广域继电保护系统结构为研究对象,根据IEC 61850标准层层包含的建模方法,给出了广域继电保护IED建模的一般步骤。然后,以220 kV数字化变电站和基于故障电压分布的广域继电保护算法为例,给出了遵循IEC 61850标准的广域继电保护主站和子站的树型结构模型,以及主站与子站的消息流交互过程。最后建立了通信服务模型,包括:客户端/服务器传输模型、模拟值传输模型和开关量传输模型。构建该通信模型的根本目的是实现广域继电保护IED与数字化变电站内其他IED间的互操作性。

基于EEFL知识库的数控设备远程故障诊断技术研究

研究了基于知识库的数控设备远程故障诊断技术,提出基于EEFL(expand element functionlanguage)的数控设备诊断知识表达方式,建立相应数据库的规划,并在此基础上融合故障树推理机制设计了基于EEFL的树型推理模型,研究了该推理模型的诊断原理和诊断过程,进行了诊断实例的分析。研究结果为数控设备建立通用远程诊断知识库和推理机制提供了一种新的方式和思想。

RoF通信系统中一种动态负载均衡策略研究与仿真

针对RoF系统的结构特点建立了一种树型结构模型。基于该模型,提出了一种动态负载均衡算法。仿真显示该算法实现了处理节点间的负载均衡,对比表明采用该负载均衡策略的系统具有较低的任务等待延时,系统性能有所提高。

STUDY OF FLOW AND TEMPERATURE IN RESIN TRANSFER MOLDING PROCESS BY NUMERICAL MODEL

A mathematical model of resin flow and temperature variation in the filling stage of the resin transfer molding (RTM) is developed based on the control volume/finite element method (CV/FEM). The effects of the heat transfer and chemical reaction of the resin on the flow and temperature are considered. The numerical algorithm of the resin flow and temperature variation in the process of RTM are studied. Its accuracy and convergence are analyzed. The comparison of temperature variations between experimental results and model predictions is carried out for two RTM cases. Result shows that the model is efficient for evaluating the flow and temperature variation in the filling stage of RTM and there is a good coincidence between theory and experiment.

Construction and analysis of tree models for chromosomal classification of diffuse large B-cell lymphomas

AIM: To construct tree models for classification of diffuse large B-cell lymphomas (DLBCL) by chromosome copy numbers, to compare them with cDNA microarray classification, and to explore models of multi-gene, multi-step and multi-pathway processes of DLBCL tumorigenesis. METHODS: Maximum-weight branching and distancebased models were constructed based on the comparative genomic hybridization (CGH) data of 123 DLBCL samples using the established methods and software of Desper et al . A maximum likelihood tree model was also used to analyze the data. By comparing with the results reported in literature, values of tree models in the classification of DLBCL were elucidated. RESULTS: Both the branching and the distance-based trees classified DLBCL into three groups. We combined the classification methods of the two models and classified DLBCL into three categories according to their characteristics. The first group was marked by +Xq, +Xp, -17p and +13q; the second group by +3q, +18q and +18p; and the third group was marked by -6q and +6p. This chromosomal classification was consistent with cDNA classification. It indicated that -6q and +3q were two main events in the tumorigenesis of lymphoma. CONCLUSION: Tree models of lymphoma established from CGH data can be used in the classification of DLBCL. These models can suggest multi-gene, multistep and multi-pathway processes of tumorigenesis. Two pathways, -6q preceding +6q and +3q preceding+18q, may be important in understanding tumorigenesis of DLBCL. The pathway, -6q preceding +6q, may have a close relationship with the tumorigenesis of non-GCB DLBCL.

Preliminary Assessment of the Common Land Model Coupled with the IAP Dynamic Global Vegetation Model

The Common Land Model(CoLM) was coupled with the IAP Dynamic Global Vegetation Model(IAPDGVM), and the performance of this combined CoLMIAP model was evaluated. Offline simulations using both the original Common Land Model(CoLM-LPJ) and CoLM-IAP were conducted. The CoLM-IAP coupled model showed a significant improvement over CoLMLPJ, as the deciduous tree distribution decreased over temperate and boreal regions, while the distribution of evergreen trees increased over the tropics. Some biases in CoLM-LPJ were preserved, including the overestimation of evergreen trees in tropical savanna, the underestimation of boreal evergreen trees, and the absence of boreal shrubs. However, most of these biases did not exist in a further coupled simulation of IAP-DGVM with the Community Land Model(CLM), for which the parameters of IAP-DGVM were optimized. This implies that further improvement is needed to deal with the differences between CoLM and CLM in parameterizations of landbased physical and biochemical processes.

能耗监测数据网络化采集算法研究与仿真

当前的能源能耗监测数据采集算法无法对数据重构处理,数据采集结果存在冗余问题,导致算法通信开销大、耗时长且误差偏高。提出智慧能源能耗监测数据网络化采集算法,构建树型层次模型,建立监测数据收集聚合树,通过收集聚合树,采集智慧能源能耗监测数据,利用压缩感知算法重构能源能耗监测数据,实现智慧能源能耗监测数据的网络化采集。仿真结果表明,所提算法的通信开销更低,耗时更短,且采集误差较小。实验结果验证了所提算法具有更好的应用性能。

A Holistic Model for the Development of Entrepreneurial Competencies of the Entrepreneur XXI： The Tree Model

In the present article it will be critically questioned the traditional entrepreneurship education approaches based on a narrow conception of competency, and their values. Assuming the perspective that to be an entrepreneur is basically an attitude towards life and the world, there proposed holistic, constructivist and experiential processes and strategies for entrepreneurship education. The ＂entrepreneur XXI＂, must be able to undertake a social function of change, so, an economical and social development more human, ethical and intelligent. Under this assumption, the ＂Tree Model for the Development of Entrepreneurial Competencies＂, that will be discussed globally in the second part of this article, suggests a dynamic and experiential approach ofentrepreneurship education based on the qualification of people＇s behaviour, self-esteem, competencies and experiences; a profile of key behavioural and performance competencies （root）, experimental pedagogical procedures （trunk） and real results within group projects （fruits）. This model has been developed during the last decade （2001-2011）, using a multidisciplinary research-action procedure, within business, education （at different teaching levels） and social project environments.

Early exercise European option and early termination American option pricing models

The maximum relative error between continuous-time American option pricing model and binomial tree model is very small. In order to improve the European and American options in trade course, the thesis tried to build early exercise European option and early termination American option pricing models. Firstly, the authors reviewed the characteristics of American option and European option, then there was compares between them. Base on continuous-time American option pricing model, this research analyzed the value of these options.

Influences of misprediction costs on solar flare prediction

The mispredictive costs of flaring and non-flaring samples are different for different applications of solar flare prediction.Hence,solar flare prediction is considered a cost sensitive problem.A cost sensitive solar flare prediction model is built by modifying the basic decision tree algorithm.Inconsistency rate with the exhaustive search strategy is used to determine the optimal combination of magnetic field parameters in an active region.These selected parameters are applied as the inputs of the solar flare prediction model.The performance of the cost sensitive solar flare prediction model is evaluated for the different thresholds of solar flares.It is found that more flaring samples are correctly predicted and more non-flaring samples are wrongly predicted with the increase of the cost for wrongly predicting flaring samples as non-flaring samples,and the larger cost of wrongly predicting flaring samples as non-flaring samples is required for the higher threshold of solar flares.This can be considered as the guide line for choosing proper cost to meet the requirements in different applications.

IMPROVING THE SIMULATION EFFICIENCY IN FIVE-AXIS MILLING BY USING AN ADVANCED OCTREE AND AN IMPLICIT FORMULA OF A GENERALIZED CUTTER

This paper presents an advanced octree(AO-rep) model and an implicit formula of a generalized cutter model for five-axis milling simulation.First,the main ideal of the AO-rep model is building a hierarchical structure and representing solid volumes.The AO-rep model utilizes an octree to cull unrelated voxels,and generates a small-scale voxel model in grey octants when a cutter intersects these octants.Using a simplified intersection computation between a cube and triangles in E^3,an STL model can be converted into its AO-rep model at a preprocessing stage.Second,the authors formulate an implicit function of a generalized cutter in moving cutter frame,and determine the function in fixed workpiece frame using the theory of a rigid body motion.Finally,the authors make a simulation of machining an impeller.The result shows that the proposed approach has a high performance of time and space.