基于图形旋转系统的渐进网格研究

拓扑简化可以为渐进网格带来更好的效果，但目前几乎所有的渐进网格方法都不支持拓扑简化，而且edge collapse和vertex split操作有时会产生非流形．针对这些问题，提出了基于图形旋转系统的渐进网格法．以基于图形旋转系统的数据结构和操作实现了渐进网格，用图形旋转系统的操作集合构建了edge collapse和vertex split操作．在此基础上，通过扩展新操作即可进行任意拓扑变化，从而实现拓扑简化，     

基于EXCEL的作物灌水率图自动绘制与修正

在灌区的规划设计中,传统作物灌水率图的绘制一般都是手工方法,不仅效率低且修正起来很不方便,而且现有的灌水率图绘制软件一般存在着灌水率计算和灌水率图绘制相互独立、无法实时动态修正等不足.基此,综合利用EXCEL软件强大的数据处理、分析功能以及图形自动绘制功能,将灌水率计算与灌水率图绘制有机结合,从而实现灌水率图的快速绘制和动态调整.这种方法操作方便、简单,值得在工程设计部门推广使用.     

应用事件分析法对林业企业发行绿色债券市场效应的评价

在系统梳理绿色债券相关理论基础上,以16个二级行业为研究对象,运用事件分析法分析林业企业上市公司发行绿色债券与股价相关性、林业企业发行绿色债券的市场价值,探索发行绿色债券的林业企业市场效应。结果表明:绿色债券融资对提升公司长短期的市场价值具有重大影响,绿色债券融资是经济实体发展绿色经济的表现,是符合经济趋势和其自身发展趋势的行为。林业企业对绿色债券的发行,持积极股价效应,提升公司市场价值;由于其项目投融资的绿色性,对市场效应有更好的显著性和持续性,对绿色债券的发行表现出积极市场效应,提升企业市场价值。依据绿色债券理论和实践,并结合林业企业自身的生态特性,从林业企业发行绿色债券的政策制度、融资优势、自身特征三个方面,在详细阐述林业企业发行绿色债券可行性基础上,提出林业企业推动绿色债券发行相关建议:构建林业企业绿色债券制度规范、增强林业企业绿色债券融资意识、提高林业企业绿色债券运营能力、加强林业企业绿色债券人才建设。     

45阶Kirkman三连系的构造与计数

给出了边矩阵和完全三分图的定义,提出了利用边矩阵、完全三分图构造45阶Kirkman三连系的思路。介绍了不同构的45阶Kirkman三连系构造的全过程,讨论了45阶Kirkman三连系的计数。     

Experimental Research on High-strength Inorganic Anchoring Material

A new type of inorganic anchoring material is developed as a substitution for anchoring adhesive to overcome some imperfections in the process of planting reinforcing steel bar.The mix proportion of the anchoring material is determined by experiments.The compressive strength,adhesive force to concrete,volume stability and anchoring force with steel bar are studied.The early strength of the anchoring inorganic material is quite high: for 1d up to 38.5MPa and 3d up to 60MPa.It is a good adhesive to concrete and the adhesive strength of 28d is about 2MPa.The anchoring material will have tiny volume expansion with the age,which is beneficial to enhancing the anchoring force.The essential component of the inorganic anchoring material is cement-based material,so some defects of the organic macromolecular material can be avoided,such as poor stability and requirement for vigorous construction conditions.Its characteristics in early strength,adhesive force to concrete and volume expansion can satisfy the requirement of the construction to the planting reinforcing steel bar and the loading force,thus it can be used as a substituting material for anchoring adhesive.     

OPTIMIZATION OF BIPARTITE JOINS WITH GRAPH THGORY

An optimization approach for multi-relational joins based on the matching concept in graph theory is introduced. The basic idea lies in constructing a join graph from an expression of N-relation query, and seeking for a maximun matching with minimun total weight. The algorithm for bipartition(X, Y) is proposed in this paper.     

The Maximum Edge-Edge Connectivity of Quasi-Regular Graphs

The edge-edge connectivity of a graph is defined,and a class of quasi-regulargraphs is proposed with a maximum edge-edge connectivity.     

Nonlinear FEM Analysis of RC Staggered Joint by Using APDL Language

In order to settle some problems involved in applying ANSYS into nonlinear Finite Element Analysis of RC structure,this paper discusses the nonlinear FEM method for staggered joint,incorporating its experimental result.The main solved problems are as follows:(1) The fundamental process of nonlinear FEM analysis;(2) How to model the behaviors of reinforcement and concrete respectively;(3) How to model the bond-slip relationship between reinforcement and concrete.     

基于PSS/E参数文件的电力系统可视化图形生成系统

利用PSS/E形成的参数等值数据文件，结合电力系统数字仿真数据结构的特点，提出了一种只需人工输入少量信息(PSS／E节点名)，充分利用已有的PSS/E参数文件，支持等值网络的绘图系统。本系统能自动进行网络拓扑编号；自动从PSS/E参数数据文件中搜索到用于仿真的等值数据、自动进行三相节点编号、计算并保存等值机的数据信息；根据PSS／E数据文件对网络结构进行自检，仿真结果以COMTRADE格式数据输出。本系统减少了用户工作量，充分利用了已有资源，提高了电网分析的智能化和准确性。     

面向葡萄知识图谱构建的多特征融合命名实体识别

为解决构建知识图谱过程中由于上下文环境复杂、现有模型字向量语义表征相对单一导致领域专业实体识别率低的问题,该研究提出了来自转换器的双向编码器表征量（bi-directional encoder representation from transformer, BERT）和残差结构（residual structure, RS）融合的命名实体识别模型（bert based named entity recognition with residual structure,BBNER-RS）。通过BERT模型将文本映射为字符向量,利用双向长短时记忆网络（bi-directional long-short term memory, BiLSTM）提取局部字符向量特征,并采用RS保留BERT提供的全局字符向量特征,以提高字向量的语义丰富度,最后通过条件随机场（conditional random field, CRF）模型对特征向量解码,获取全局最优序列标注。与其他命名实体识别模型相比,提出的BBNER-MRS模型在葡萄数据集上表现较好,在葡萄人民日报、玻森、简历和微博数据集上F1值分别达到89...